In-vitro and in-silico investigation of α-amylase and α-glucosidase inhibition using Chamaecostus cuspidatus leaf for diabetes mellitus

In-vitro and in-silico investigation of α-amylase and α-glucosidase inhibition using Chamaecostus cuspidatus leaf for diabetes mellitus | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article In-vitro and in-silico investigation of α-amylase and α-glucosidase inhibition using Chamaecostus cuspidatus leaf for diabetes mellitus Menaka Priya Balaji, V Devi Rajeswari This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3990166/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Chamaecostus cuspidatus is a mysterious plant with potential therapeutic properties for the amelioration of diabetic mellitus and related complications. This investigation aims to determine the potential phytochemicals through GCMS, FTIR, and NMR techniques. The objective is to perform in-vitro assays on the extract to evaluate its potential in various domains including antioxidant, antidiabetic, anti-inflammatory, antibacterial, and anticancer effects. The extract of methanol has demonstrated significant antioxidant properties due to its high phenolic content (3.523 mg GAE/g), flavonoid content (2.55 mg QE/g), and total tannin content (2.133 mg TAE/g). GC-MS analysis of leaf extract depicted the presence of 16 bioactive compounds among 9-octadecenamide, 7-nonenamide, 13-docosenamide, and hexadecanamide are enrich essential fatty acids. The NMR spectrum of 13 C confirms the presence of functional bioactive compounds. This work includes molecular computational studies, specifically protein-ligand docking energy and ADMET analysis. Selected screened compounds including akuammilan-17-ol, nor-diazepam, 1,2-benzene dicarboxylic acid, and standard metformin were investigating the interaction against α-amylase and α-glucosidase. The ligand of nor-diazepam showed the highest binding affinity compared to akuammilan-17-ol, 1,2-benzene dicarboxylic acid, and metformin; therefore, nor-diazepam could be the focus of more in-depth research. Antidiabetic Anti-inflammatory HepG2 Chamaecostus cuspidatus Docking Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 Figure 13 Figure 14 Introduction Diabetes mellitus is one of the largest epidemic emergencies of this modern era, by the year 2035 predicted diabetes is 592 million all around the world [1]. Diabetes mellitus is a multifactorial condition that can be caused by various factors including a sedentary lifestyle, a diet high in sugar [2], genetic predisposition resulting in inadequate production of insulin, and autoimmunity or defective insulin action in cells. The biological process of continuous glucose absorption mediated by the catalysis and breakdown of α-amylase and α-glucosidase enzymes is probably the most significant contributor that triggers hyperglycemia. Since it is widely recognized, α-amylase breaks down the glycosidic bonds in starch to produce disaccharides, which are subsequently further broken down by mucosal α-glucosidase in enterocytes. This process accelerates glucose absorption and elevates blood glucose levels post-diet. Persistent hyperglycemia causes cellular stress and the generation of advanced glycation end product which in turn dysregulate cellular metabolism and gradually release pro-inflammatory cytokines [3]. Therefore, minimizing the bloodstream and gastrointestinal absorption of glucose is a beneficial and efficient technique for treating hyperglycemia. This can only be managed by suppressing the digestive enzymes including α-amylase and α-glucosidase [4] [5]. Currently, antidiabetic oral enzyme inhibitors approved by the Food and Drug Administration (FDA) may have adverse effects, and people eventually prefer herbal medicine which becoming an attractive treatment for new diseases [6]. Traditional herbal medicines have been theorized to possess drug-like properties in certain metabolites, which are believed to have a substantial impact on promoting overall well-being and preventing multiple illnesses while avoiding any adverse effects. This study primarily focuses on intermediate secondary metabolites that possess drug-like structures [7]. This approach may lead to the identification of novel, unstudied compounds with the potential for treating complex diseases by exploring unexplored herbs. This study specifically focused on the species of monocot in the family Costaceae, commonly known as the insulin plant (Taxonomy ID: 168191). The study aimed to analyze the phytochemical composition of C. cuspidatus using different polarity solvent maceration extraction and identify the potential extract by preliminary studies and compound characterization. Additionally, we investigate the antidiabetic, antioxidant, anti-inflammatory, antibacterial, and anticancer potential to find IC 50 value. Further, GCMS-identified potential compounds were screened by druglikeness rule and absorption, distribution, metabolism, excretion, and toxicity properties for molecular docking study prediction. Following the evaluation of selected compounds, a docking study was carried out on a certain number of ligands to observe the interaction and affinity with the α-amylase and α-glucosidase proteins. The outcome could bring light to a method for the deliberate identification of novel compounds and enable new perspectives on the application of herbal plants in the treatment of diabetes mellitus. Materials and methods Chemicals Porcine pancreatic α-amylase (10 units/mg), starch, (DPPH) 2,2'-diphenyl-1-picrylhydrayl, sodium carbonate, p-Nitrophenyl-α-D-glucopyranoside, ascorbic acid, 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide, and bovine serum albumin (BSA), were all purchased from HiMedia chemicals, India. HPLC grade acetonitrile and methanol, gallic acid, quercetin, tannic acid, α-glucosidase (1U/mL), trichloroacetic acid, metformin hydrochloride, diclofenac sodium, ABTS (2,2’-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt, metformin, penicillin-streptomycin and Dulbecco’s Modified Eagle Medium (DMEM) from Sigma-Aldrich. Collection and identification of the plant C. cuspidatus was collected in November month from Yelagiri mountain in the Tirupathur district of Tamil Nadu, India. The plant sample was taxonomically identified by Prof. P. Jayaraman, Director of Plant Anatomy Research Centre (PARC), West Tambaram, Chennai. The identification was conducted under the authorization number PARC/2022/4736. Preparation of extract The leaf of C. cuspidatus was separated into parts and all possible impurities were meticulously removed using deionized water. The cleaned leaf parts were then dried in a shaded area at a temperature of 38 o C. In a processor, the chopped leaf components were then ground into a powder. The fine leaf powder was stored in a dry and sealed container, protected from sunlight and moisture. To the maceration, course-dried leaf powder was mixed with different polarity solvents (distilled water, methanol, chloroform, ethyl acetate, hexane). Following that, the extract performed filtration using a muslin cloth. The extracts were concentrated through a rotary evaporator and refrigerated for further application [8]. Qualitative Evaluation of C. cuspidatus Leaf The extraction required primary phytochemical analysis to determine the major bioactive components contained in the different polarity solvent extract [9]. Standard chemical procedures were employed for evaluating a plant extract [10]. Fourier Transform Infrared Spectroscopy The concentrated extracts were subjected to analysis using FTIR (IR-affinity-1, SHIMAZDU, Japan 2011) to identify predominant functional groups and stretching and bending vibrations in different solvent samples within the range of 400–4000 cm − 1 . Further, screen the effective extract based on the preliminary and IR spectrum. Gas Chromatography-Mass Spectrometry Analysis The selected methanolic leaf extract of C. cuspidatus was analyzed using GC-MS on the Perkin Elmer Clarus 600 C model from the USA. Phytochemical identification was achieved by determining a retention time of 30 minutes and comparing the MS of the identified substance. Nuclear Magnetic Resonance Spectroscopy The methanolic extract of C. cuspidatus was dissolved (20 mg/mL) in deuterated DMSO and subjected to sonicated for 15 minutes and centrifuge at 2500 rpm for 5 minutes. 800 µL of supernatant was transferred to the NMR tube [11]. The sample was analyzed using NMR Spectroscopy specifically FT-NMR at a frequency of 400 MHz using a Bruker instrument. Determination of Total Phenolic Content The Folin-Ciocalteu method was used to determine the total phenolic content, as explained by Ramasubramaniyan et al. (2015) with minor changes. A gallic acid curve was calculated by diluting a standard gallic acid (1 mg/mL stock) solution to varying concentrations (5, 25, 50, 75, and 100 µL) in methanol [13]. 2.5 mL of Folin-Ciocalteu reagent was mixed with the unknown sample, and the mixture was incubated for 5 to 8 minutes at 38 o C. Two milliliters of a 75% sodium carbonate solution were added and the mixture was incubated at a temperature of 50 o C for a duration of 10 to 15 minutes. At OD 765 nm, the reaction mixture’s absorbance was measured. Using a calibration curve based on gallic acid and reported in milligrams of gallic acid equivalent per gram (mg GAE/g), the phenolic content of the unknown sample was determined. Determination of Total Flavonoid Content The total flavonoid content was estimated using an aluminum chloride colorimetric assay, following the method described by Nikzad and Parastar (2021) with slight modifications. 1 mg/mL of quercetin standard with various concentrations (5, 25, 50, 75, and 100 µL) and 1 mL unknown sample. The resulting mixture was mixed with 200 µL of 10% aluminum chloride. 1 M of 200 µL potassium acetate was mixed and 5.6 mL of milli-Q water was incubated for 3 to 5 mins [15]. UV spectrophotometer was used to evaluate the absorbance of the standard and sample solution at 415 nm in comparison to the reagent blank. The flavonoid content of the unknown sample was quantified using a quercetin calibration curve, reported in milligrams of quercetin equivalent per gram (mg QE/g). Determination of Total Tannin Content The Folin-Ciocalteu method was used to calculate the total tannin concentration [16]. A tannin acid standard with a concentration of 1 mg/mL of tannic acid standard with various concentrations (5, 25, 50, 75, and 100 µL) and 0.5 ml of Folin-Ciocalteu reagent in a final volume of 10 mL milli-Q water was mixed in the reaction. The reaction mixture was incubated for 30 mins and the absorbance was measured at 700 nm. Using a tannic acid equivalent curve, the tannin content of the unknown sample was determined and reported in milligrams of tannin acid equivalent per gram (mg TAE/g). Evaluation of Antioxidants by Invitro Techniques Activated oxygen species which include single molecule oxygen and (H 2 O 2 ) hydrogen peroxide, can cause cell damage by reacting with free radicals [17] [18]. We performed the FRAP, ABTS, and DPPH assays to assess the reducing potency and radical scavenging properties. Various aliquots (5, 25, 50, 75, and 100 mg/mL) of the sample, along with ascorbic acid as a positive control. A blank for antioxidant activities was created using a phosphate buffer and methanol. To assess the reduction of Fe 3+ to Fe 2+ , we conducted the FRAP assay. A mixture of 1 mL methanol solution (sample and standard) and phosphate buffer (pH 6.6) was prepared. Subsequently, the reaction mixture was treated with 1% of 2.5 mL potassium ferricyanide solution [19]. The reactant was vigorously and subjected to incubation at a temperature of 50 o C for a duration of 20 to 30 minutes. Following this, 10% of 2.5 mL trichloroacetic acid was added and the solution was centrifuged at 3000 rpm for 3 minutes. The supernatant was diluted with an equal volume of mill-Q water. Then, 0.5 mL of ferric chloride (20 mM) was added and incubated for 2 to 3 minutes. Using a UV spectrophotometer, the absorbance of the reaction mixture was determined at 700 nm. The 2 mL of extract was mixed with a DPPH (0.1 mM) and incubated in darkness for a duration of 30 minutes. The absorbance of the reaction was measured at wavelength of 517 nm. The ABTS activity was determined by mixing a reaction mixture of 7 mM ABTS solution with 2.45 mM potassium persulfate to generate radical cations. 1 mL volume of both sample and standard solution were mixed with 2 mL of ABTS radical cation reactant solution. The resulting mixture was then incubated for duration of 25 to 30 minutes. The reaction was quantified at wavelength of 734 nm [20]. The inhibition potential percentage was determined through the employing of an equation. $$\% Inhibition=\frac{Acontrol-Asample}{Acontrol}*100$$ Evaluation of Antidiabetic by In-vitro Techniques The evaluation of α-amylase and α-glucosidase enzyme inhibition has gained considerable interest in the analysis of blood hemostasis. Subsequently, the α-amylase and α-glucosidase enzyme inhibition of the samples (10 to 100 mg/mL) was evaluated using 0.1 mL of each sample [21]. Metformin was employed as a positive correlation with the samples [22] [23]. The α-amylase inhibitory assay was assessed using the standard DNS method. Difference sample and standard concentration solutions were treated with 0.2 M of 500 µL phosphate buffer (pH 6.9) and 1 U/mL amylase enzyme solution. The reaction was incubated for 20 to 30 minutes at 38 o C. A 250 µL aliquot of 1% starch solution was incubated for 15 minutes. To terminate the reaction, 1 mL of DNS reagent was added and incubated in a boiling water bath for 10 to 15 minutes. The results were measured at a wavelength of 540 nm. The α-glucosidase inhibitory assay was assessed using the para nitrophenyl α-D-glucopyranoside substrate method. The experiment involved using 0.1 M 150 µL phosphate buffer (pH 6.9) as the sample and standard concentrations. Additionally, 1 U/mL of glucosidase enzyme was added to initiate the enzyme reaction. The reaction was incubated for 10 to 12 minutes. The enzyme reaction was terminated by adding 50 µL of 2mM PNP substrate and incubating the reaction mixture for a duration of 15 to 20 minutes. The enzyme reaction was terminated using 50 µL of 0.1 M sodium carbonate, and the resulting measurement was taken at 405 nm. $$\% Inhibition=\frac{Acontrol-Asample}{Acontrol}*100$$ Invitro Bovine Serum Albumin Assay Bovine serum albumin (BSA), when subjected to heat, undergoes denaturation and initiates the expression of the antigen-associated response. The anti-denaturation assay is evaluated as a significant method for stabilizing compounds against allergies [24]. Various concentrations of (2.5, 5, 25, 50, 75, and 100 mg/mL) were evaluated and compared to a positive control to diclofenac [25]. A 0.2% solution of BSA was prepared using phosphate buffer at pH 6.5. A 1 mL sample and standard were subjected to treatment with 500 µL of BSA solution. The resulting reaction mixture was heated at 60 o C for a duration of 2 to 4 minutes. After cooling, the reaction was incubated for a period of 15 to 20 minutes [26]. The UV-visible spectrophotometer was used to measure the absorbance of the solution at a wavelength of 520 nm [27]. $$\% Inhibition=\frac{Acontrol-Asample}{Acontrol}*100$$ Antibacterial activity The antibacterial activity of three different bacterial strains including Escherichia coli, Klebsiella pneumonia , and Staphylococcus aureus , was examined against the methanolic leaf extract of C. cuspidatus methanolic leaf extract. Muller Hinton Agar served as the substrate for the agar diffusion procedure, and plates were then utilized using the standardized microbe culture method performed in Muller Hinton Agar (MHA), plates were lawn cultured with standardized microbial culture broth. Plant extract showed indeed effectiveness so, the concentration of the sample was fixed with a microgram. 20 µL of the plant extract was poured into each well after it had been dissolved in 1% DMSO using distilled water. The plates were incubated at 37 o C for an extended period. Following incubation, the emergence of a clear zone around the well proved. The size of the zone of inhibition was measured and evaluated. For positive control, an ampicillin antibiotic disc was utilized. Cell culture - MTT assay The absorption phase of a drug is crucial for its effectiveness, as it determines the degree to which the drug is taken up by liver cells. Therefore, it is important to perform cytotoxic analysis to assess the effect of the drug on the HepG2 cell line. The HepG2 cell line, provided by the National Centre for Cell Science, Pune (NCCS), was utilized to evaluate the cytotoxicity of a leaf sample from C. cuspidatus. The cells were maintained in Dulbecco’s Modified Eagle Medium (DMEM media) supplemented with 10% fetal calf serum and penicillin (100 U/mL) in a humidified environment. The cells were cultured at 37 o C in a temperature-controlled atmosphere containing 5% CO 2 and 95% atmosphere [28]. The MTT (3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide) test was conducted using varying concentrations of the sample to determine cell viability [25]. The absorbance at 540 nm was calculated using a UV spectrophotometer [29]. $$\% of Cell viability=HepG2 of\frac{Treated cells}{Control cells}*100$$ In silico study Druglikeness rule and ADMET analysis The importance of pharmacokinetic and pharmacodynamic studies in determining standard drug design through the process of drug-likeness is expanding. Limited studies have examined the screening of compound parameters in the overall framework of target drug design. All compounds were evaluated and screened using Lipinski’s rule of five [30], Pfizer rule, GSK, and the golden triangle, and further selected screened compounds investigated the ADMET properties for molecular docking. To objective is to assess the pharmacokinetics and toxicity of C. cuspidatus screened lead compounds utilization of the SwissADME ( www.swissadme.ch ) online tool. In addition to its conformation, ADMETlab 2.0 used canonical smiles to forecast ligand characteristics and determine their pharmacokinetics, potentially lowering the hazards involved in upcoming research studies. Molecular docking The crystal structure of α-amylase (1B2Y) and α-glucosidase (5NN8) was retrieved from the RCSB protein data bank with the co-crystallized inhibitor of acarbose. Molecular docking analysis is employed to forecast the binding between ligands and proteins in biological activities, facilitating recognition of molecular biology and computer-aided design. According to the literature survey, 1B2Y protein (X = 18.909389; Y = 5.79070; Z = 47.006148) and 5NN8 protein (X = 12.10300, Y= -16.549000, Z = 106.548000) exhibit the active sites which allowing the ligand to identification of high-affinity binding compounds. Various software tools, including Autodock, Autodock vina package v1.2.3, MGL software, and Discovery Studio are utilized for virtual molecular docking. Protein Data Bank was used to obtain 3D crystallographic structures of proteins ( www.rcsb.org ). the protein complex was selected for analysis after removing water molecules, heteroatoms, and inhibitors. Subsequently, the PDBQT format was generated [31]. The screened ligands of nor-diazepam, akuammilan-17-ol, 1,2-benzene dicarboxylic acid, and standard metformin were used in the molecular docking study, ligands were obtained from the PubChem database (pubchem.ncbi.nlm.nih.gov) and prepared for analysis in PDBQT format using CADD group Chemoinformatics tools (cactus.nci.nih.gov) and Autodock vina software. Proteins and ligands possessed a total of 10 degrees of freedom. Among the 10 binding poses generated, the initial negative binding pose had a lower root mean square deviation (RMSD) value of atomic alignment. This result suggests that the initial negative binding pose is highly valid and indicates a stronger binding efficacy. The binding affinity was determined, and the ligand’s predicted pose was analyzed. The interactions of the 2D results were visualized using Discovery Studio. Statistical Analysis The experiments were conducted in triplicate, and the quantitative analysis data were subjected to regression analysis in Microsoft Excel. The in vitro results were analyzed using OriginPro software while the IC 50 value was determined in Microsoft Excel. The in vitro anticancer activity results were analyzed using GraphPad Prism 8 and Dunnett’s test. A significance level of P Chloroform > Hexane > Ethyl acetate. The total yield of different solvent values is given in Table 1 . Table 1 Yield of different solvents of Chamaecostus cuspidatus leaf Extraction Color Extract Yield (%) Aqueous extract Solid dark brown 9.03 Methanol extract Semi-solid dark brown 10.65 Ethyl acetate Semi-solid dark blackish-green 7.42 Chloroform Solid dark green 8.17 Hexane Semi-solid dark greenish brown 8.07 Qualitative and Quantitative Evaluation of C. cuspidatus leaf Plant secondary metabolites play a significant role in herbal medicine and possess various potential applications. The analysis revealed the presence of flavonoids, phenols, and cardiac glycosides are more abundant in the methanolic extract. Following methanol extract, aqueous extract shows good results. Among all phytochemical tests, chloroform and hexane reveal the presence of steroid and saponin chemicals. Among all extracts chloroform, and hexane showed less than ethyl acetate extract. A preliminary analysis of Chamaecostus cuspidatus leaf in different solvent evaluations is given in Table 2 . Table 2 Identification of phytochemical screening of Chamaecostus cuspidatus leaf extraction. Phytochemical Aqueous Methanol Ethyl acetate Chloroform Hexane Alkaloids + + - - - Protein + + - - - Carbohydrate + + + + + Reducing sugar + + - - - Cardiac glycoside + ++ - - - Flavonoids + + + - - Terpenoids + + - - - Phenols + ++ - - - Saponin + + + + + Steroid - - ++ + Tannin + + - - - Note: ++ indicated that immediate positive reaction, + indicated the presence of phytochemicals, - indicated that the absence of the reaction Fourier Transform Infrared Spectroscopy FTIR spectroscopy was utilized to analyze the bioactive compounds present in the leaves of the C. cuspidatus leaf. The FTIR spectra were used to separate the functional and active components of the different polarity extracts by analyzing their spectrum. Table 3 and graph represented in Fig. 1 , IR frequency indicating the presence of ester and anhydride functional group in chloroform and ethyl acetate extraction whereas methanol shows phenol and amide group. Aqueous extract reveals the presence of acid and halide groups. When compared to other extract frequencies hexane showed the least function bioactive compounds. Table 3 FTIR analysis of Chamaecostus cuspidatus leaf extract Frequency range (cm − 1 ) Compound class Absorption range (cm − 1 ) Functional group 500–800 Alkyl halides 512 C-I 604 C-Br 714 C-Cl 1060–1100 Phenol/alcohol 1076 C-O 1020–1250 Amine/ester 1044 C-N 1239 C-O 1168 C-N 1760–1900 Acid/anhydride 1890 C = O 900–1300 Anhydride 1371 C-O 1450–1465 Alkane 1468 C-H 1638–1648 Alkene 1644 C = C 1710–1740 Ketone/aldehydes/ester 1739 C = O 2840–3000 Alkane 2924 C-H 3000–3100 Aromatics 3347 C-H Gas Chromatography-Mass Spectrometry Analysis Phytocompounds were identified using Gas chromatography and Mass spectroscopy. The chromatogram of the methanolic extract can be seen in Fig. 2 . The chromatogram displayed 10 distinct peaks, confirming the retention time range between 3 and 30 minutes. The National Institute of Standards and Technology (NIST) library database provided a preliminary identification of phytochemical constituents. Table 4 presents the results of mass spectrometry analysis, which confirmed the presence of intermediate compounds and secondary metabolites. Among 16 compounds from the methanol extract of C. cuspidatus leaf showing major peak of 23.52 corresponds to the presence of four amide-fatty acids in the Costaceae family including 9-octadecenamide, 7-nonenamide, 13-docosenamide, and hexa-decanamide. The peaks observed at 18.00 and 21.52 correspond to the presence of (an indole derivative compound) akuammilan-17-oL, the 19.43 peak corresponds to the presence of nor-diazepam, and the 15.65 peak corresponds to the presence of 1,2-benzene dicarboxylic acid. These compounds were identified based on retention time, molecular formula, structure, and molecular mass (M.M). Table 4 GC-MS data of Chamaecostus cuspidatus leaf S. No Name of the Compound Molecular Mass (g/mol) Molecular formula Retention Time 1 9-Octadecenamide 281.5 C 18 H 35 NO 23.54 2 7-Nonenamide 155.24 C 9 H 17 NO 23.54 3 13-Docosenamide 337.6 C 22 H 43 NO 23.54 4 Hexadecanamide 255.44 C 16 H 33 NO 23.54 5 Pentadecanamide 319 C 15 H 30 ONBr 23.54 6 8,11,14-Eicosatrienoic acid 306.5 C 20 H 34 O 2 21.91 7 Akuammilan-17-ol 324.4 C 20 H 24 N 2 O 2 21.52 8 Octadecanoic acid 284.5 C 18 H 36 O 2 19.78 9 Eicosanoic acid 312.5 C 20 H 40 O 2 19.78 10 Docosanoic acid 340.6 C 22 H 44 O 2 19.78 11 Nor-diazepam 373.8 C 18 H 16 CIN 3 O 4 19.39 12 8-Quinolinedione 452.1 C 17 H 12 Br 2 N 2 O 3 18.00 13 Phthalic acid 330.4 C 20 H 26 O 4 15.65 14 1,2-Benzene dicarboxylic acid 222.24 C 12 H 14 O 4 15.65 15 1,3-diethyl 2-cyclohexylpropanedioate 242.31 C 13 H 22 O 4 8.03 16 2,4,6,8,10-Tetradecapentaenoic acid 606.7 C 36 H 46 O 8 6.79 Nuclear Magnetic Resonance Spectroscopy NMR spectroscopy was used to analyze the methanolic extract of the C. cuspidatus plant according to the 13 C nuclei. The quantitative analysis, despite its non-sensitive nature, provided information about a limited number of chemical structures, including the DMSO peak. The NMR spectrum of 13 C nuclei detected the presence of carbon atoms in the sample, a result represented in Fig. 3 . Specifically, the sample contained a total of 16 carbon atoms, a peak at 39.20–40.45 ppm indicating the presence of the solvent. A peak at 20.49–29.45 ppm indicates the presence of CH; 61.61–102.42 ppm indicates the presence of C ≡ C; 128.39 ppm indicates the presence of an aromatic ring in the aromatic ring; 162.60 ppm indicates the presence of OH group. Quantitative analysis The Folin-Ciocalteu reagent was used to calculate the total phenolic content of the plant extract (Fig. 4 ), while the total flavonoid content was assessed as aluminum chloride (Fig. 5 ). The total tannin content was analyzed using the Folin-Ciocalteu method (Fig. 6 ). The C. cuspidatus plant sample exhibited 3.523 mg GAE/g, followed by 2.550 mg QE/g for flavonoids, and 2.133 mg TAE/g for tannins. Invitro Antioxidant Activities The antioxidant assays of the C. cuspidatus were determined by FRAP, ABTS, and DPPH assays. The scavenging effect of plant samples was compared with positive control of ascorbic acid. The FRAP assay demonstrated the conversion of ferric 2,4,6 tripyridyl-5-triazine (Fe 3+ ) to ferrous (Fe 2+ ), indicating the presence of phenolic compounds with strong antioxidant activity. This experiment demonstrated a dose-dependent scavenging effect of 700 nm. For FRAP, a concentration of 100 mg/mL showed an inhibition percentage of 55.85%, and the IC 50 value was determined to be 82.2 mg/mL (Fig. 7 ). When compared to the plant sample, the standard of ascorbic acid showed a significant scavenging effect on the DPPH radical. This effect increased with higher concentrations of 2.5, 5, 25, 50, 75, and 100 mg/mL. For FRAP, the plant sample at a maximum concentration of 100 mg/mL showed 62.51% inhibition with an IC 50 value of 76.25 mg/mL (Fig. 8 ). When compared to the positive control of ascorbic acid, the scavenging effect of the plant sample was similar. The ABTS radical scavenging activity of the plant extract indicated a high presence of phenol compounds, which effectively inhibited the ABTS radicals (2,2’-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid). The maximum concentration of 100 mg/mL resulted in 79.14% inhibition, while ascorbic acid exhibited 96% inhibition and the IC 50 value of the plant sample was determined to be 51.05 mg/mL (Fig. 9 ). Invitro Antidiabetic activities Antidiabetic activities of methanolic extract of C. cuspidatus leaf extract exhibited α-amylase inhibition, indicating the potential of compounds that are inhibitory against the enzyme. The plant sample exhibited a significant inhibitory effect of 69% on the α-amylase enzyme, while the control metformin demonstrated a higher inhibition range of 73.12% at a concentration of 100 mg/mL. The IC 50 value of α-amylase inhibition of the plant sample was determined to be 78.2 mg/mL 0.953 (Fig. 10 ). Following, the sample exhibited an α-glucosidase inhibitory activity of 59.12% at a concentration of 100 mg/mL, whereas the control metformin demonstrated an inhibition activity of 82.65% (Fig. 11 ). The IC 50 value of the plant sample was found at 82.64 mg/mL. Invitro Anti-inflammatory activity Inhibition of protein denaturation was determined by bovine serum albumin and the sample effectively inhibited heat-induced albumin protein. At a maximum concentration of 100 mg/mL exhibited a 58% inhibition, while the positive control of diclofenac sodium standard showed 88% inhibition. The IC 50 value of the plant sample was determined to be 44.65 mg/mL. The plant sample exhibited significantly reduced inflammation, indicating potential non-steroidal anti-inflammatory properties in the C. cuspidatus leaf sample. The positive correlation experiment of the protein degradation assay was reported in Fig. 12 . Antibacterial activity To control gastrointestinal probiotics, it is important to examine the antibacterial potential to maintain the gut microbiome. By measuring the zone of inhibition (mm), the three bacterial strains’ agar well diffusion against methanolic extract was observed. It was noted that S. aureus showed more potential inhibition than E. coli and K. pneumonia in terms of effectiveness. Tables 5 and 6 illustrate the findings of the highest efficient bacterial inhibition at a concentration of 100 µg among the varied concentrations. Table 5 Antibacterial measurement of the zone of inhibition Bacterial strain 5 µg concentration (mm) 25 µg concentration (mm) 50 µg concentration (mm) 100 µg concentration (mm) Escherichia coli - - - 2 Klebsiella pneumonia - - - 10 Staphylococcus aureus - 10 14 16 Table 6. Antibacterial activity of Chamaecostus cuspidatus leaf extract against bacteria. Anticancer activity This cytotoxicity assay is employed to assess cell viability and determine the toxic dose for cancer cells. Similarly, C. cuspidatus demonstrated toxicity to HepG2 cells based on dosage. The crude extract was analyzed and it was found that MMS exhibited notable cytotoxicity towards the hepatic (HepG2) cell line, as demonstrated using the MTT assay. The concentrations selected for assessment yielded an IC 50 value of 165.21 mg/mL (Fig. 13 ). These findings demonstrate that the plant extract from C. cuspidatus effectively inhibited the growth of cancer cells in a dose-dependent manner, with a significant level of inhibition. Computational studies Screening of lead molecule Based on the GCMS result 16 compounds have been demonstrated in drug-likeness analysis using ADMETlab 2.0 and the Swiss ADME online tool which is significant for prediction of biological activity and further studies (Supplementary file). Among all compounds, three ligands fulfilled drug-likeness rules including nordiazepam, 1,2-benzene dicarboxylic acid, and akuammilan-17-oL. These three ligands were selected for drug-likeness evaluation and pharmacokinetics property investigation with standard metformin (Table 7 ). Table 7 Drug-likeliness rule and ADMET property of metformin, akuammilan-17-ol 1,2-benzene dicarboxylic acid, and nor-diazepam. Drug-likeliness rule and ADMET Property Metformin Akuammilan-17-ol 1,2-Benzene dicarboxylic acid Nor-diazepam Molecular weight (g/mol) 129.16 324.42 222.24 373.79 Rotatable bond 2 2 6 5 H bond acceptor 2 4 4 5 H bond donor 3 1 0 2 Consensus Log P -0.89 2.43 2.30 2.06 Molar refractivity 36.93 102.24 58.61 103.20 Topological polar surface area (Å 2 ) 91.49 45.06 52.60 91.23 Lipinski Yes Yes Yes Yes Ghose No Yes Yes Yes Veber Yes Yes Yes Yes Egan Yes Yes Yes Yes Bioavailability score 0.55 0.55 0.55 0.55 CYP1A2 inhibitor No No Yes No CYP2C19 inhibitor No No No No CYP2D9 inhibitor No No No No CYP2D6 inhibitor No No No No CYP3A4 inhibitor No Yes No Yes Clearance 3.531 11.97 12.247 3.514 hERG Blocker (KCNH2) 0.176 0.025 0.136 0.225 Drug-induced liver injury 0.101 0.119 0.404 0.985 AMES toxicity 0.024 0.093 0.013 0.132 Carcinogenicity 0.835 0.923 0.035 0.042 Respiratory toxicity 0.843 0.95 0.025 0.037 Protein-Ligand interaction Selected ligands chosen as druglikeness candidates, further proceed for molecular docking analysis with standard metformin ligands. In comparative analysis, it was observed that nordiazepam showed the best affinity (-9.3 kcal/mol) towards the 1B2Y (α-amylase), followed by akuammilan-17-ol (-7.5 kcal/mol), 1,2-benzene dicarboxylic acid (-6.6 kcal/mol) and metformin (-5.3 kcal/mol). For 5NN8 (α-glucosidase), nor-diazepam exhibited the higher affinity (-8.9 kJ/mol) followed by 1,2-benzene dicarboxylic acid (-7.2 kcal/mol), akuammilan-17-ol (-7.0 kcal/mol) and metformin (-4.7 kcal/mol). The 2D interaction and 3D receptor surface interaction poses are presented in Figure. 14. When compared to all, nor-diazepam exhibited strong binding interaction with both α-amylase and α-glucosidase protein, while metformin revealed the weakest binding affinity among all. In docking observation, the analysis revealed that plant compound from C. cuspidatus exhibited a significant interaction with the α-amylase protein, followed by the α-glucosidase protein. Discussion Chamaecostus cuspidatus also known as Costus igneus and Spiral Flag, has been studied for its therapeutic properties. Few studies have focused on the Costaceae family and found novel compounds such as quercetin [32], insulin-like protein [33], and diosgenin [34], which have gained attention in the development of synthetic pharmaceuticals [35]. But in India, Chamaecostus cuspidatus is primarily grown as an unexplored ornamental plant. Early studies on C. cuspidatus revealed a higher content of cardiac glycosides, polyphenols, and flavonoids; these are believed to be the primary chemicals that are responsible for providing the species with anti-inflammatory and antioxidant qualities [36]. In our investigation, we noticed that the extract had a noticeably greater phenolic concentration. Expected, frequently found polyphenolic chemicals called tannin and flavonoids are utilized in medicine to treat a variety of ailments and infections [37]. Besides offering health advantages, botanical intermediate and secondary metabolism products are essential for skin-related infection healing of wounds and antioxidant activity. Since endogenous polyphenolic compounds can prevent ROS, additional research into the phytochemicals of C. cuspidatus is recommended. Different functional groups, comprising phenol, aliphatic, aromatic rings, alcohol, hydroxyl, amines, and carbonyl were indicated by distinct FTIR spectrum and the presence of the hydroxyl bioactive components, aromatic rings, and fatty acid derivatives was detected by the NMR spectrum. The GCMS chromatogram disclosed that fatty acid derivatives predominated over all other components, with particular mention made of the main fatty acids found in eaves, namely 9-octadecenamide (linolenic acid), hexadecanamide (palmitic acid), and 1,2-benzene dicarboxylic acid (phthalic acid). This derivative of fatty acids could be responsible for the plant’s antibacterial properties, signaling mechanism, and stress response. This plant has sixteen chemically varied metabolites, nor-diazepam, and the indole alkaloid akuammilan-17-ol, compounds that have not previously been documented. Recently, research on Pleione maculata discovered the existence of nor-diazepam, which had antiviral properties when linked with the SARS-CoV-2 spike protein [38]. Remarkably, nordiazepam has anti-epileptic properties and is utilized therapeutically as a psychiatric medication [39]. Moreover, this may be a significant factor in its anti-Alzheimer potential [40]. Previous studies have identified and confirmed the presence of 30 phytochemicals in Costus lucanusianus [41]. To the best of our understanding, this is the first report of an alkaloid compound identified as akuammilan-17-ol alkaloid compound. This study showed a significant relationship between polyphenols, flavonoids, and tannins, emphasizing the vital importance of which antioxidant test produced outcomes that were comparable to those from Costus igneus. Similarly, C. cuspidatus had a greater capacity to scavenge free radicals; this property may be associated with the presence of hydroxyl molecules. The significance of α-amylase and α-glucosidase enzymes in this research originates from the recognition this particular plant is frequently referred to as an insulin plant and is linked to diabetes. The study expands on previous research that demonstrates a dose-dependent inhibition by the Costus speciosus [42] in alcohol and aqueous extracts. In further research exhibiting dose-dependent inhibition, C. cuspidatus was found to have an insulin-like protein, which could be the sensitizer for cells [43]. Early research studies have shown that administering quercetin regularly helps decrease blood glucose levels. This plant contains quercetin, which may be the cause of its antioxidant and antidiabetic properties [44] [45]. Although C. cuspidatus has previously reported the existence of coumaric acid precursor, which may be responsible for its anti-inflammatory properties, it demonstrated a rather strong inhibition of albumin. On the other hand, few studies have been done on this chemical in coumaric acid [46]. Chemically varied structural components found in plants can suppress infections, and phthalic acid constituents may play a crucial role in both antibacterial characteristics and potential for clinical study. Interestingly, C. cuspidatus exhibits an active zone of inhibition in very low concentrations hence it could be a treatment plant for microbial resistance. Previous studies on Costus speciosus have also supported the antimicrobial property, when compared to the gram-negative bacteria gram-positive bacteria show the highest percentage of inhibition because of peptidoglycan. The main intention of in vitro anticancer activity is to identify potentially toxic compounds that can disrupt cellular functions. Although there is a significant need for more research in this field because unexplored Insulin plant compounds and the anticancer potential of Costaceae plants have not been fully explored in vivo this field area is yet to focus. However, several studies have demonstrated the Costaceae plants exhibit cytotoxicity against cancer lines [47]. According to some research, the chemical akuammilan-17-ol has therapeutic qualities and can process within malignant cells in the sense of cell division, proliferation, and invasion [48]. In the pharmacokinetic analysis of selected phytochemicals including nordiazepam, 1,2-benzene dicarboxylic acid, and akuammilan-17-oL ligands have druglikeness activity and higher molecular binding affinity than metformin. Therefore, further animal and human clinical investigation is necessary to validate the efficacy. However, our study result explored the nor-diazepam compound in C. cuspidatus leaf that can increase the attention for diabetic-related Alzheimer's disease and 1,2-benzene dicarboxylic acid and akuammilan-17-ol indicates new and novel potential as a therapeutic agent for hyperglycemia. Conclusion In summary, the research conducted on the phytochemical composition of Chamaecostus cuspidatus plant leaves has identified the presence of bioactive compounds through quantitative and qualitative analysis. In vitro activity, including antioxidant, anti-diabetic, anti-inflammatory, antibacterial, and anti-cancer activity on the HepG2 cell line, all demonstrated IC 50 efficacy. Selected compounds revealed ADMET properties for the potential lead molecule of the methanolic extract and showed the bioavailability and toxicity range. In computational studies, enzyme inhibition activity confirmed the strong affinity and molecular interaction with protein-ligand. In addition, the nordiazepam exhibited favorable binding energy and demonstrated safe pharmacokinetic properties in ADMET studies. Also, this is the first scientific report on akuammilan-17-ol presence in the Chamaecostus cuspidatus leaf. Abbreviations ABTS - 2,2’-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid ADMET – Absorption Distribution Metabolism Excretion Toxicity BSA - Bovine Serum Albumin CO 2 – Carbon dioxide DMEM - Dulbecco’s Modified Eagle Medium DMSO – Dimethyl sulfoxide DNS – 3,5-Dinitrosalicyclic acid DPPH - 2,2'-diphenyl-1-picrylhydrayl FDA - Food and Drug Administration FT-NMR – Fourier transform Nuclear Magnetic Resonance Spectroscopy FTIR - Fourier Transform Infrared Spectroscopy FRAP – Ferric Reducing Antioxidant Power GCMS - Gas Chromatography-Mass Spectrometry GAE - Gallic Acid Equivalent HPLC – High-performance liquid chromatography H 2 O 2 – Hydrogen peroxide IC 50 – Half maximal inhibitory concentration MHA - Muller Hinton Agar MTT - 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide M.M - Molecular Mass NCCS - National Centre for Cell Science NIST - National Institute of Standards and Technology PARC - Plant Anatomy Research Centre PNP – p-nitrophenol Ppm – Parts per million QE - Quercetin Equivalent RMSD - Root Mean Square Deviation Rpm – Revolution per minute ROS – Reactive Oxygen Species TAE - Tannin Acid Equivalent Declarations Acknowledgments The authors sincerely acknowledge the Vellore Institute of Technology, Vellore, India for the support and laboratory facility provided for this research. Conflict of Interests The authors declare that there are no conflicts of interest. Ethics approval and consent to participate Not applicable Consent for publication Not applicable Authorship contributions Menaka Priya Balaji – Conceptualization, Methodology, Original draft preparation, Writing- Reviewing & Editing. Devi Rajeswari V - Supervision, Project administration, Visualization, Reviewing & Editing. Funding No funding was provided for the research work. Data availability The data that has been used is confidential. Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ORCID Menaka Priya Balaji – https://orcid.org/0000-0002-0494-6579 Devi Rajeswari V - https://orcid.org/0000-0002-1914-6451 References Pradeepa, R. and Mohan, V. (2021) Epidemiology of type 2 diabetes in India. Indian J. Ophthalmol. 69, 2932–2938 Beros, A. et al. 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Chem. 10, 1891–1915 Additional Declarations No competing interests reported. Supplementary Files Supplementaryfile.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3990166","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":275380853,"identity":"ee54bd07-ce46-4321-b4a2-c6dfb29cc7a4","order_by":0,"name":"Menaka Priya Balaji","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Menaka","middleName":"Priya","lastName":"Balaji","suffix":""},{"id":275380854,"identity":"8b1f2a2e-2200-471d-9198-d6df84c891fd","order_by":1,"name":"V Devi 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15:36:55","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":5837,"visible":true,"origin":"","legend":"\u003cp\u003eComparative bar graph for DPPH assay of \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e leaf\u003c/p\u003e","description":"","filename":"F8.png","url":"https://assets-eu.researchsquare.com/files/rs-3990166/v1/a9ca97754caf0d55441e5384.png"},{"id":51867729,"identity":"b2684480-a9f9-45c4-bad8-c1cc3919a355","added_by":"auto","created_at":"2024-03-01 15:36:55","extension":"png","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":6804,"visible":true,"origin":"","legend":"\u003cp\u003eComparative bar graph for ABTS assay of \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e leaf\u003c/p\u003e","description":"","filename":"F9.png","url":"https://assets-eu.researchsquare.com/files/rs-3990166/v1/bb0e9c6c21acba3c40dfa835.png"},{"id":51867739,"identity":"48a68690-6f19-4ae2-b032-e3ffde76684b","added_by":"auto","created_at":"2024-03-01 15:36:56","extension":"png","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":8151,"visible":true,"origin":"","legend":"\u003cp\u003eComparative bar graph for α-amylase inhibitory activity of \u003cem\u003eChamaecostus cuspidatus \u003c/em\u003eleaf\u003c/p\u003e","description":"","filename":"F10.png","url":"https://assets-eu.researchsquare.com/files/rs-3990166/v1/4b5a5662f3300d0a6c81c981.png"},{"id":51867738,"identity":"12a55da1-854f-46ce-b2ce-ea94936b7d48","added_by":"auto","created_at":"2024-03-01 15:36:56","extension":"png","order_by":11,"title":"Figure 11","display":"","copyAsset":false,"role":"figure","size":7708,"visible":true,"origin":"","legend":"\u003cp\u003eComparative bar graph for α-glucosidase inhibitory activity of \u003cem\u003eChamaecostus cuspidatus \u003c/em\u003eleaf\u003c/p\u003e","description":"","filename":"F11.png","url":"https://assets-eu.researchsquare.com/files/rs-3990166/v1/0eae4a360f833ee5aaf60696.png"},{"id":51867735,"identity":"133dbc44-60d6-45b7-b0d5-844531b03299","added_by":"auto","created_at":"2024-03-01 15:36:55","extension":"png","order_by":12,"title":"Figure 12","display":"","copyAsset":false,"role":"figure","size":7065,"visible":true,"origin":"","legend":"\u003cp\u003eComparative bar graph for protein denaturation assay of \u003cem\u003eChamaecostus cuspidatus \u003c/em\u003eleaf\u003c/p\u003e","description":"","filename":"F12.png","url":"https://assets-eu.researchsquare.com/files/rs-3990166/v1/2cd06d87d8f782fbdb169716.png"},{"id":51867732,"identity":"91af4344-0c36-4b8e-9485-739ab1763c22","added_by":"auto","created_at":"2024-03-01 15:36:55","extension":"png","order_by":13,"title":"Figure 13","display":"","copyAsset":false,"role":"figure","size":172289,"visible":true,"origin":"","legend":"\u003cp\u003eComparative bar graph for HepG2 cell line and Confocal image of IC\u003csub\u003e50 \u003c/sub\u003econcentration\u003c/p\u003e","description":"","filename":"F13.png","url":"https://assets-eu.researchsquare.com/files/rs-3990166/v1/24c45ca3d952e864d1132b09.png"},{"id":51867730,"identity":"60ec01f8-1d31-4035-bb34-f5e013fbf845","added_by":"auto","created_at":"2024-03-01 15:36:55","extension":"png","order_by":14,"title":"Figure 14","display":"","copyAsset":false,"role":"figure","size":1924857,"visible":true,"origin":"","legend":"\u003cp\u003eMolecular interaction between protein and ligand interaction\u003c/p\u003e\n\u003cp\u003eNote: 2D and 3D interactions of \u003cem\u003eC. cuspidatus \u003c/em\u003eleaf phytochemicals against α-amylase and α-glucosidase proteins. A represents metformin; B represents akuammilan-17-ol; C represents 1,2-benzene dicarboxylic acid; D represents nor-diazepam. In 3D receptor surface pose 1 indicates aromatic; 2 indicates hydrogen bond; 3 indicates charge; 4 indicates hydrophobic; 5 indicates ionizability; and 6 indicates solvent accessible surface interactions between protein and ligands.\u003c/p\u003e","description":"","filename":"F14.png","url":"https://assets-eu.researchsquare.com/files/rs-3990166/v1/f997d94ce7010d257080ecba.png"},{"id":51868036,"identity":"daec922d-deaf-4ee2-8ee2-085f2e904604","added_by":"auto","created_at":"2024-03-01 15:45:04","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1966282,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3990166/v1/757b1862-6abf-40a7-8ae6-20ba1f42b16f.pdf"},{"id":51867726,"identity":"41ba6abf-bdce-4c6f-9f37-38d45b067b94","added_by":"auto","created_at":"2024-03-01 15:36:53","extension":"docx","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":387653,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementaryfile.docx","url":"https://assets-eu.researchsquare.com/files/rs-3990166/v1/4dd3f05e21f92a0b4f6695b0.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"In-vitro and in-silico investigation of α-amylase and α-glucosidase inhibition using Chamaecostus cuspidatus leaf for diabetes mellitus","fulltext":[{"header":"Introduction","content":"\u003cp\u003eDiabetes mellitus is one of the largest epidemic emergencies of this modern era, by the year 2035 predicted diabetes is 592\u0026nbsp;million all around the world [1]. Diabetes mellitus is a multifactorial condition that can be caused by various factors including a sedentary lifestyle, a diet high in sugar [2], genetic predisposition resulting in inadequate production of insulin, and autoimmunity or defective insulin action in cells. The biological process of continuous glucose absorption mediated by the catalysis and breakdown of α-amylase and α-glucosidase enzymes is probably the most significant contributor that triggers hyperglycemia. Since it is widely recognized, α-amylase breaks down the glycosidic bonds in starch to produce disaccharides, which are subsequently further broken down by mucosal α-glucosidase in enterocytes. This process accelerates glucose absorption and elevates blood glucose levels post-diet. Persistent hyperglycemia causes cellular stress and the generation of advanced glycation end product which in turn dysregulate cellular metabolism and gradually release pro-inflammatory cytokines [3]. Therefore, minimizing the bloodstream and gastrointestinal absorption of glucose is a beneficial and efficient technique for treating hyperglycemia. This can only be managed by suppressing the digestive enzymes including α-amylase and α-glucosidase [4] [5]. Currently, antidiabetic oral enzyme inhibitors approved by the Food and Drug Administration (FDA) may have adverse effects, and people eventually prefer herbal medicine which becoming an attractive treatment for new diseases [6].\u003c/p\u003e \u003cp\u003eTraditional herbal medicines have been theorized to possess drug-like properties in certain metabolites, which are believed to have a substantial impact on promoting overall well-being and preventing multiple illnesses while avoiding any adverse effects. This study primarily focuses on intermediate secondary metabolites that possess drug-like structures [7]. This approach may lead to the identification of novel, unstudied compounds with the potential for treating complex diseases by exploring unexplored herbs. This study specifically focused on the species of monocot in the family Costaceae, commonly known as the insulin plant (Taxonomy ID: 168191). The study aimed to analyze the phytochemical composition of \u003cem\u003eC. cuspidatus\u003c/em\u003e using different polarity solvent maceration extraction and identify the potential extract by preliminary studies and compound characterization. Additionally, we investigate the antidiabetic, antioxidant, anti-inflammatory, antibacterial, and anticancer potential to find IC\u003csub\u003e50\u003c/sub\u003e value. Further, GCMS-identified potential compounds were screened by druglikeness rule and absorption, distribution, metabolism, excretion, and toxicity properties for molecular docking study prediction. Following the evaluation of selected compounds, a docking study was carried out on a certain number of ligands to observe the interaction and affinity with the α-amylase and α-glucosidase proteins. The outcome could bring light to a method for the deliberate identification of novel compounds and enable new perspectives on the application of herbal plants in the treatment of diabetes mellitus.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eChemicals\u003c/h2\u003e \u003cp\u003ePorcine pancreatic α-amylase (10 units/mg), starch, (DPPH) 2,2'-diphenyl-1-picrylhydrayl, sodium carbonate, p-Nitrophenyl-α-D-glucopyranoside, ascorbic acid, 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide, and bovine serum albumin (BSA), were all purchased from HiMedia chemicals, India. HPLC grade acetonitrile and methanol, gallic acid, quercetin, tannic acid, α-glucosidase (1U/mL), trichloroacetic acid, metformin hydrochloride, diclofenac sodium, ABTS (2,2\u0026rsquo;-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt, metformin, penicillin-streptomycin and Dulbecco\u0026rsquo;s Modified Eagle Medium (DMEM) from Sigma-Aldrich.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eCollection and identification of the plant\u003c/h2\u003e \u003cp\u003e \u003cem\u003eC. cuspidatus\u003c/em\u003e was collected in November month from Yelagiri mountain in the Tirupathur district of Tamil Nadu, India. The plant sample was taxonomically identified by Prof. P. Jayaraman, Director of Plant Anatomy Research Centre (PARC), West Tambaram, Chennai. The identification was conducted under the authorization number PARC/2022/4736.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003ePreparation of extract\u003c/h2\u003e \u003cp\u003eThe leaf of \u003cem\u003eC. cuspidatus\u003c/em\u003e was separated into parts and all possible impurities were meticulously removed using deionized water. The cleaned leaf parts were then dried in a shaded area at a temperature of 38\u003csup\u003eo\u003c/sup\u003eC. In a processor, the chopped leaf components were then ground into a powder. The fine leaf powder was stored in a dry and sealed container, protected from sunlight and moisture. To the maceration, course-dried leaf powder was mixed with different polarity solvents (distilled water, methanol, chloroform, ethyl acetate, hexane). Following that, the extract performed filtration using a muslin cloth. The extracts were concentrated through a rotary evaporator and refrigerated for further application [8].\u003c/p\u003e \u003cp\u003e \u003cb\u003eQualitative Evaluation of\u003c/b\u003e \u003cb\u003eC. cuspidatus\u003c/b\u003e \u003cb\u003eLeaf\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThe extraction required primary phytochemical analysis to determine the major bioactive components contained in the different polarity solvent extract [9]. Standard chemical procedures were employed for evaluating a plant extract [10].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eFourier Transform Infrared Spectroscopy\u003c/h2\u003e \u003cp\u003eThe concentrated extracts were subjected to analysis using FTIR (IR-affinity-1, SHIMAZDU, Japan 2011) to identify predominant functional groups and stretching and bending vibrations in different solvent samples within the range of 400\u0026ndash;4000 cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. Further, screen the effective extract based on the preliminary and IR spectrum.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eGas Chromatography-Mass Spectrometry Analysis\u003c/h2\u003e \u003cp\u003eThe selected methanolic leaf extract of \u003cem\u003eC. cuspidatus\u003c/em\u003e was analyzed using GC-MS on the Perkin Elmer Clarus 600 C model from the USA. Phytochemical identification was achieved by determining a retention time of 30 minutes and comparing the MS of the identified substance.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eNuclear Magnetic Resonance Spectroscopy\u003c/h2\u003e \u003cp\u003eThe methanolic extract of \u003cem\u003eC. cuspidatus\u003c/em\u003e was dissolved (20 mg/mL) in deuterated DMSO and subjected to sonicated for 15 minutes and centrifuge at 2500 rpm for 5 minutes. 800 \u0026micro;L of supernatant was transferred to the NMR tube [11]. The sample was analyzed using NMR Spectroscopy specifically FT-NMR at a frequency of 400 MHz using a Bruker instrument.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eDetermination of Total Phenolic Content\u003c/h2\u003e \u003cp\u003eThe Folin-Ciocalteu method was used to determine the total phenolic content, as explained by Ramasubramaniyan et al. (2015) with minor changes. A gallic acid curve was calculated by diluting a standard gallic acid (1 mg/mL stock) solution to varying concentrations (5, 25, 50, 75, and 100 \u0026micro;L) in methanol [13]. 2.5 mL of Folin-Ciocalteu reagent was mixed with the unknown sample, and the mixture was incubated for 5 to 8 minutes at 38\u003csup\u003eo\u003c/sup\u003eC. Two milliliters of a 75% sodium carbonate solution were added and the mixture was incubated at a temperature of 50\u003csup\u003eo\u003c/sup\u003eC for a duration of 10 to 15 minutes. At OD\u003csub\u003e765\u003c/sub\u003e nm, the reaction mixture\u0026rsquo;s absorbance was measured. Using a calibration curve based on gallic acid and reported in milligrams of gallic acid equivalent per gram (mg GAE/g), the phenolic content of the unknown sample was determined.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eDetermination of Total Flavonoid Content\u003c/h2\u003e \u003cp\u003eThe total flavonoid content was estimated using an aluminum chloride colorimetric assay, following the method described by Nikzad and Parastar (2021) with slight modifications. 1 mg/mL of quercetin standard with various concentrations (5, 25, 50, 75, and 100 \u0026micro;L) and 1 mL unknown sample. The resulting mixture was mixed with 200 \u0026micro;L of 10% aluminum chloride. 1 M of 200 \u0026micro;L potassium acetate was mixed and 5.6 mL of milli-Q water was incubated for 3 to 5 mins [15]. UV spectrophotometer was used to evaluate the absorbance of the standard and sample solution at 415 nm in comparison to the reagent blank. The flavonoid content of the unknown sample was quantified using a quercetin calibration curve, reported in milligrams of quercetin equivalent per gram (mg QE/g).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eDetermination of Total Tannin Content\u003c/h2\u003e \u003cp\u003eThe Folin-Ciocalteu method was used to calculate the total tannin concentration [16]. A tannin acid standard with a concentration of 1 mg/mL of tannic acid standard with various concentrations (5, 25, 50, 75, and 100 \u0026micro;L) and 0.5 ml of Folin-Ciocalteu reagent in a final volume of 10 mL milli-Q water was mixed in the reaction. The reaction mixture was incubated for 30 mins and the absorbance was measured at 700 nm. Using a tannic acid equivalent curve, the tannin content of the unknown sample was determined and reported in milligrams of tannin acid equivalent per gram (mg TAE/g).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003eEvaluation of Antioxidants by Invitro Techniques\u003c/h2\u003e \u003cp\u003eActivated oxygen species which include single molecule oxygen and (H\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e) hydrogen peroxide, can cause cell damage by reacting with free radicals [17] [18]. We performed the FRAP, ABTS, and DPPH assays to assess the reducing potency and radical scavenging properties. Various aliquots (5, 25, 50, 75, and 100 mg/mL) of the sample, along with ascorbic acid as a positive control. A blank for antioxidant activities was created using a phosphate buffer and methanol. To assess the reduction of Fe\u003csup\u003e3+\u003c/sup\u003e to Fe\u003csup\u003e2+\u003c/sup\u003e, we conducted the FRAP assay. A mixture of 1 mL methanol solution (sample and standard) and phosphate buffer (pH 6.6) was prepared. Subsequently, the reaction mixture was treated with 1% of 2.5 mL potassium ferricyanide solution [19]. The reactant was vigorously and subjected to incubation at a temperature of 50\u003csup\u003eo\u003c/sup\u003eC for a duration of 20 to 30 minutes. Following this, 10% of 2.5 mL trichloroacetic acid was added and the solution was centrifuged at 3000 rpm for 3 minutes. The supernatant was diluted with an equal volume of mill-Q water. Then, 0.5 mL of ferric chloride (20 mM) was added and incubated for 2 to 3 minutes. Using a UV spectrophotometer, the absorbance of the reaction mixture was determined at 700 nm. The 2 mL of extract was mixed with a DPPH (0.1 mM) and incubated in darkness for a duration of 30 minutes. The absorbance of the reaction was measured at wavelength of 517 nm. The ABTS activity was determined by mixing a reaction mixture of 7 mM ABTS solution with 2.45 mM potassium persulfate to generate radical cations. 1 mL volume of both sample and standard solution were mixed with 2 mL of ABTS radical cation reactant solution. The resulting mixture was then incubated for duration of 25 to 30 minutes. The reaction was quantified at wavelength of 734 nm [20]. The inhibition potential percentage was determined through the employing of an equation.\u003cdiv id=\"Equa\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equa\" name=\"EquationSource\"\u003e\n$$\\% Inhibition=\\frac{Acontrol-Asample}{Acontrol}*100$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eEvaluation of Antidiabetic by In-vitro Techniques\u003c/h2\u003e \u003cp\u003eThe evaluation of α-amylase and α-glucosidase enzyme inhibition has gained considerable interest in the analysis of blood hemostasis. Subsequently, the α-amylase and α-glucosidase enzyme inhibition of the samples (10 to 100 mg/mL) was evaluated using 0.1 mL of each sample [21]. Metformin was employed as a positive correlation with the samples [22] [23]. The α-amylase inhibitory assay was assessed using the standard DNS method. Difference sample and standard concentration solutions were treated with 0.2 M of 500 \u0026micro;L phosphate buffer (pH 6.9) and 1 U/mL amylase enzyme solution. The reaction was incubated for 20 to 30 minutes at 38\u003csup\u003eo\u003c/sup\u003eC. A 250 \u0026micro;L aliquot of 1% starch solution was incubated for 15 minutes. To terminate the reaction, 1 mL of DNS reagent was added and incubated in a boiling water bath for 10 to 15 minutes. The results were measured at a wavelength of 540 nm. The α-glucosidase inhibitory assay was assessed using the para nitrophenyl α-D-glucopyranoside substrate method. The experiment involved using 0.1 M 150 \u0026micro;L phosphate buffer (pH 6.9) as the sample and standard concentrations. Additionally, 1 U/mL of glucosidase enzyme was added to initiate the enzyme reaction. The reaction was incubated for 10 to 12 minutes. The enzyme reaction was terminated by adding 50 \u0026micro;L of 2mM PNP substrate and incubating the reaction mixture for a duration of 15 to 20 minutes. The enzyme reaction was terminated using 50 \u0026micro;L of 0.1 M sodium carbonate, and the resulting measurement was taken at 405 nm.\u003cdiv id=\"Equb\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equb\" name=\"EquationSource\"\u003e\n$$\\% Inhibition=\\frac{Acontrol-Asample}{Acontrol}*100$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eInvitro Bovine Serum Albumin Assay\u003c/h2\u003e \u003cp\u003eBovine serum albumin (BSA), when subjected to heat, undergoes denaturation and initiates the expression of the antigen-associated response. The anti-denaturation assay is evaluated as a significant method for stabilizing compounds against allergies [24]. Various concentrations of (2.5, 5, 25, 50, 75, and 100 mg/mL) were evaluated and compared to a positive control to diclofenac [25]. A 0.2% solution of BSA was prepared using phosphate buffer at pH 6.5. A 1 mL sample and standard were subjected to treatment with 500 \u0026micro;L of BSA solution. The resulting reaction mixture was heated at 60\u003csup\u003eo\u003c/sup\u003eC for a duration of 2 to 4 minutes. After cooling, the reaction was incubated for a period of 15 to 20 minutes [26]. The UV-visible spectrophotometer was used to measure the absorbance of the solution at a wavelength of 520 nm [27].\u003cdiv id=\"Equc\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equc\" name=\"EquationSource\"\u003e\n$$\\% Inhibition=\\frac{Acontrol-Asample}{Acontrol}*100$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eAntibacterial activity\u003c/h2\u003e \u003cp\u003eThe antibacterial activity of three different bacterial strains including \u003cem\u003eEscherichia coli, Klebsiella pneumonia\u003c/em\u003e, and \u003cem\u003eStaphylococcus aureus\u003c/em\u003e, was examined against the methanolic leaf extract of \u003cem\u003eC. cuspidatus\u003c/em\u003e methanolic leaf extract. Muller Hinton Agar served as the substrate for the agar diffusion procedure, and plates were then utilized using the standardized microbe culture method performed in Muller Hinton Agar (MHA), plates were lawn cultured with standardized microbial culture broth. Plant extract showed indeed effectiveness so, the concentration of the sample was fixed with a microgram. 20 \u0026micro;L of the plant extract was poured into each well after it had been dissolved in 1% DMSO using distilled water. The plates were incubated at 37\u003csup\u003eo\u003c/sup\u003eC for an extended period. Following incubation, the emergence of a clear zone around the well proved. The size of the zone of inhibition was measured and evaluated. For positive control, an ampicillin antibiotic disc was utilized.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003eCell culture - MTT assay\u003c/h2\u003e \u003cp\u003eThe absorption phase of a drug is crucial for its effectiveness, as it determines the degree to which the drug is taken up by liver cells. Therefore, it is important to perform cytotoxic analysis to assess the effect of the drug on the HepG2 cell line. The HepG2 cell line, provided by the National Centre for Cell Science, Pune (NCCS), was utilized to evaluate the cytotoxicity of a leaf sample from \u003cem\u003eC. cuspidatus.\u003c/em\u003e The cells were maintained in Dulbecco\u0026rsquo;s Modified Eagle Medium (DMEM media) supplemented with 10% fetal calf serum and penicillin (100 U/mL) in a humidified environment. The cells were cultured at 37\u003csup\u003eo\u003c/sup\u003eC in a temperature-controlled atmosphere containing 5% CO\u003csub\u003e2\u003c/sub\u003e and 95% atmosphere [28]. The MTT (3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide) test was conducted using varying concentrations of the sample to determine cell viability [25]. The absorbance at 540 nm was calculated using a UV spectrophotometer [29].\u003cdiv id=\"Equd\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equd\" name=\"EquationSource\"\u003e\n$$\\% of Cell viability=HepG2 of\\frac{Treated cells}{Control cells}*100$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003eIn silico study\u003c/h2\u003e \u003cdiv id=\"Sec18\" class=\"Section3\"\u003e \u003ch2\u003eDruglikeness rule and ADMET analysis\u003c/h2\u003e \u003cp\u003eThe importance of pharmacokinetic and pharmacodynamic studies in determining standard drug design through the process of drug-likeness is expanding. Limited studies have examined the screening of compound parameters in the overall framework of target drug design. All compounds were evaluated and screened using Lipinski\u0026rsquo;s rule of five [30], Pfizer rule, GSK, and the golden triangle, and further selected screened compounds investigated the ADMET properties for molecular docking. To objective is to assess the pharmacokinetics and toxicity of \u003cem\u003eC. cuspidatus\u003c/em\u003e screened lead compounds utilization of the SwissADME (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e\u003ca href=\"http://www.swissadme.ch\" target=\"_blank\"\u003ewww.swissadme.ch\u003c/a\u003e\u003c/span\u003e\u003cspan address=\"http://www.swissadme.ch\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) online tool. In addition to its conformation, ADMETlab 2.0 used canonical smiles to forecast ligand characteristics and determine their pharmacokinetics, potentially lowering the hazards involved in upcoming research studies.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003eMolecular docking\u003c/h2\u003e \u003cp\u003eThe crystal structure of α-amylase (1B2Y) and α-glucosidase (5NN8) was retrieved from the RCSB protein data bank with the co-crystallized inhibitor of acarbose. Molecular docking analysis is employed to forecast the binding between ligands and proteins in biological activities, facilitating recognition of molecular biology and computer-aided design. According to the literature survey, 1B2Y protein (X\u0026thinsp;=\u0026thinsp;18.909389; Y\u0026thinsp;=\u0026thinsp;5.79070; Z\u0026thinsp;=\u0026thinsp;47.006148) and 5NN8 protein (X\u0026thinsp;=\u0026thinsp;12.10300, Y= -16.549000, Z\u0026thinsp;=\u0026thinsp;106.548000) exhibit the active sites which allowing the ligand to identification of high-affinity binding compounds. Various software tools, including Autodock, Autodock vina package v1.2.3, MGL software, and Discovery Studio are utilized for virtual molecular docking. Protein Data Bank was used to obtain 3D crystallographic structures of proteins (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e\u003ca href=\"http://www.swissadme.ch\" target=\"_blank\"\u003ewww.rcsb.org\u003c/a\u003e\u003c/span\u003e\u003cspan address=\"http://www.rcsb.org\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). the protein complex was selected for analysis after removing water molecules, heteroatoms, and inhibitors. Subsequently, the PDBQT format was generated [31].\u003c/p\u003e \u003cp\u003eThe screened ligands of nor-diazepam, akuammilan-17-ol, 1,2-benzene dicarboxylic acid, and standard metformin were used in the molecular docking study, ligands were obtained from the PubChem database (pubchem.ncbi.nlm.nih.gov) and prepared for analysis in PDBQT format using CADD group Chemoinformatics tools (cactus.nci.nih.gov) and Autodock vina software. Proteins and ligands possessed a total of 10 degrees of freedom. Among the 10 binding poses generated, the initial negative binding pose had a lower root mean square deviation (RMSD) value of atomic alignment. This result suggests that the initial negative binding pose is highly valid and indicates a stronger binding efficacy. The binding affinity was determined, and the ligand\u0026rsquo;s predicted pose was analyzed. The interactions of the 2D results were visualized using Discovery Studio.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003eStatistical Analysis\u003c/h2\u003e \u003cp\u003eThe experiments were conducted in triplicate, and the quantitative analysis data were subjected to regression analysis in Microsoft Excel. The in vitro results were analyzed using OriginPro software while the IC\u003csub\u003e50\u003c/sub\u003e value was determined in Microsoft Excel. The in vitro anticancer activity results were analyzed using GraphPad Prism 8 and Dunnett\u0026rsquo;s test. A significance level of P\u0026thinsp;\u0026lt;\u0026thinsp;0.005 was employed.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec22\" class=\"Section2\"\u003e\n \u003ch2\u003eExtraction Yield\u003c/h2\u003e\n \u003cp\u003eBy utilizing the maceration method, the highest yield was obtained from a methanol extract of 10.65% followed by Aqueous \u0026gt; Chloroform \u0026gt; Hexane \u0026gt; Ethyl acetate. The total yield of different solvent values is given in Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eYield of different solvents of \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e leaf\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"3\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eExtraction\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eColor\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eExtract Yield (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAqueous extract\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSolid dark brown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e9.03\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMethanol extract\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSemi-solid dark brown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e10.65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eEthyl acetate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSemi-solid dark blackish-green\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e7.42\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eChloroform\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSolid dark green\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e8.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eHexane\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSemi-solid dark greenish brown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e8.07\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cstrong\u003eQualitative and Quantitative Evaluation of\u003c/strong\u003e \u003cstrong\u003eC. cuspidatus\u003c/strong\u003e \u003cstrong\u003eleaf\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003ePlant secondary metabolites play a significant role in herbal medicine and possess various potential applications. The analysis revealed the presence of flavonoids, phenols, and cardiac glycosides are more abundant in the methanolic extract. Following methanol extract, aqueous extract shows good results. Among all phytochemical tests, chloroform and hexane reveal the presence of steroid and saponin chemicals. Among all extracts chloroform, and hexane showed less than ethyl acetate extract. A preliminary analysis of \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e leaf in different solvent evaluations is given in Table\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eIdentification of phytochemical screening of \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e leaf extraction.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"6\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003ePhytochemical\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAqueous\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMethanol\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eEthyl acetate\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eChloroform\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eHexane\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAlkaloids\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eProtein\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCarbohydrate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eReducing sugar\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCardiac glycoside\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e++\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFlavonoids\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTerpenoids\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePhenols\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e++\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSaponin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eSteroid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e++\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTannin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\"\u003eNote: ++ indicated that immediate positive reaction, + indicated the presence of phytochemicals, - indicated that the absence of the reaction\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cdiv id=\"Sec23\" class=\"Section3\"\u003e\n \u003ch2\u003eFourier Transform Infrared Spectroscopy\u003c/h2\u003e\n \u003cp\u003eFTIR spectroscopy was utilized to analyze the bioactive compounds present in the leaves of the \u003cem\u003eC. cuspidatus\u003c/em\u003e leaf. The FTIR spectra were used to separate the functional and active components of the different polarity extracts by analyzing their spectrum. Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e and graph represented in Fig.\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e, IR frequency indicating the presence of ester and anhydride functional group in chloroform and ethyl acetate extraction whereas methanol shows phenol and amide group. Aqueous extract reveals the presence of acid and halide groups. When compared to other extract frequencies hexane showed the least function bioactive compounds.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eFTIR analysis of \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e leaf extract\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"4\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eFrequency range (cm\u003csup\u003e− 1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCompound class\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAbsorption range (cm\u003csup\u003e− 1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eFunctional group\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003e500–800\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eAlkyl halides\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e512\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-I\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e604\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-Br\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e714\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-Cl\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1060–1100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePhenol/alcohol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1076\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-O\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003e1020–1250\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eAmine/ester\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1044\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-N\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1239\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-O\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1168\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-N\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1760–1900\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAcid/anhydride\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1890\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC = O\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e900–1300\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAnhydride\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1371\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-O\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1450–1465\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAlkane\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1468\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-H\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1638–1648\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAlkene\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1644\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC = C\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1710–1740\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eKetone/aldehydes/ester\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e1739\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC = O\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2840–3000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAlkane\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2924\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-H\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3000–3100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAromatics\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e3347\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC-H\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec24\" class=\"Section2\"\u003e\n \u003ch2\u003eGas Chromatography-Mass Spectrometry Analysis\u003c/h2\u003e\n \u003cp\u003ePhytocompounds were identified using Gas chromatography and Mass spectroscopy. The chromatogram of the methanolic extract can be seen in Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e. The chromatogram displayed 10 distinct peaks, confirming the retention time range between 3 and 30 minutes. The National Institute of Standards and Technology (NIST) library database provided a preliminary identification of phytochemical constituents. Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e presents the results of mass spectrometry analysis, which confirmed the presence of intermediate compounds and secondary metabolites. Among 16 compounds from the methanol extract of \u003cem\u003eC. cuspidatus\u003c/em\u003e leaf showing major peak of 23.52 corresponds to the presence of four amide-fatty acids in the Costaceae family including 9-octadecenamide, 7-nonenamide, 13-docosenamide, and hexa-decanamide. The peaks observed at 18.00 and 21.52 correspond to the presence of (an indole derivative compound) akuammilan-17-oL, the 19.43 peak corresponds to the presence of nor-diazepam, and the 15.65 peak corresponds to the presence of 1,2-benzene dicarboxylic acid. These compounds were identified based on retention time, molecular formula, structure, and molecular mass (M.M).\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab4\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eGC-MS data of \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e leaf\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"5\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eS. No\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eName of the Compound\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMolecular Mass (g/mol)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMolecular formula\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eRetention Time\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9-Octadecenamide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e281.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e18\u003c/sub\u003eH\u003csub\u003e35\u003c/sub\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e23.54\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7-Nonenamide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e155.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e9\u003c/sub\u003eH\u003csub\u003e17\u003c/sub\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e23.54\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13-Docosenamide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e337.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e22\u003c/sub\u003eH\u003csub\u003e43\u003c/sub\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e23.54\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eHexadecanamide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e255.44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e16\u003c/sub\u003eH\u003csub\u003e33\u003c/sub\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e23.54\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePentadecanamide\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e319\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e15\u003c/sub\u003eH\u003csub\u003e30\u003c/sub\u003eONBr\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e23.54\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8,11,14-Eicosatrienoic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e306.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e20\u003c/sub\u003eH\u003csub\u003e34\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e21.91\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAkuammilan-17-ol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e324.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e20\u003c/sub\u003eH\u003csub\u003e24\u003c/sub\u003eN\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e21.52\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOctadecanoic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e284.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e18\u003c/sub\u003eH\u003csub\u003e36\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e19.78\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eEicosanoic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e312.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e20\u003c/sub\u003eH\u003csub\u003e40\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e19.78\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDocosanoic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e340.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e22\u003c/sub\u003eH\u003csub\u003e44\u003c/sub\u003eO\u003csub\u003e2\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e19.78\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNor-diazepam\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e373.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e18\u003c/sub\u003eH\u003csub\u003e16\u003c/sub\u003eCIN\u003csub\u003e3\u003c/sub\u003eO\u003csub\u003e4\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e19.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8-Quinolinedione\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e452.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e17\u003c/sub\u003eH\u003csub\u003e12\u003c/sub\u003eBr\u003csub\u003e2\u003c/sub\u003eN\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e3\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e18.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ePhthalic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e330.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e20\u003c/sub\u003eH\u003csub\u003e26\u003c/sub\u003eO\u003csub\u003e4\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e15.65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1,2-Benzene dicarboxylic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e222.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e12\u003c/sub\u003eH\u003csub\u003e14\u003c/sub\u003eO\u003csub\u003e4\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e15.65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1,3-diethyl 2-cyclohexylpropanedioate\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e242.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e13\u003c/sub\u003eH\u003csub\u003e22\u003c/sub\u003eO\u003csub\u003e4\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e8.03\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2,4,6,8,10-Tetradecapentaenoic acid\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e606.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eC\u003csub\u003e36\u003c/sub\u003eH\u003csub\u003e46\u003c/sub\u003eO\u003csub\u003e8\u003c/sub\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e6.79\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cdiv id=\"Sec25\" class=\"Section3\"\u003e\n \u003ch2\u003eNuclear Magnetic Resonance Spectroscopy\u003c/h2\u003e\n \u003cp\u003eNMR spectroscopy was used to analyze the methanolic extract of the \u003cem\u003eC. cuspidatus\u003c/em\u003e plant according to the \u003csup\u003e13\u003c/sup\u003eC nuclei. The quantitative analysis, despite its non-sensitive nature, provided information about a limited number of chemical structures, including the DMSO peak. The NMR spectrum of \u003csup\u003e13\u003c/sup\u003eC nuclei detected the presence of carbon atoms in the sample, a result represented in Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e. Specifically, the sample contained a total of 16 carbon atoms, a peak at 39.20–40.45 ppm indicating the presence of the solvent. A peak at 20.49–29.45 ppm indicates the presence of CH; 61.61–102.42 ppm indicates the presence of C ≡ C; 128.39 ppm indicates the presence of an aromatic ring in the aromatic ring; 162.60 ppm indicates the presence of OH group.\u003c/p\u003e\n \u003c/div\u003e\n \u003cdiv id=\"Sec26\" class=\"Section3\"\u003e\n \u003ch2\u003eQuantitative analysis\u003c/h2\u003e\n \u003cp\u003eThe Folin-Ciocalteu reagent was used to calculate the total phenolic content of the plant extract (Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e), while the total flavonoid content was assessed as aluminum chloride (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). The total tannin content was analyzed using the Folin-Ciocalteu method (Fig. \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e). The \u003cem\u003eC. cuspidatus\u003c/em\u003e plant sample exhibited 3.523 mg GAE/g, followed by 2.550 mg QE/g for flavonoids, and 2.133 mg TAE/g for tannins.\u003c/p\u003e\n \u003c/div\u003e\n \u003cdiv id=\"Sec27\" class=\"Section3\"\u003e\n \u003ch2\u003eInvitro Antioxidant Activities\u003c/h2\u003e\n \u003cp\u003eThe antioxidant assays of the \u003cem\u003eC. cuspidatus\u003c/em\u003e were determined by FRAP, ABTS, and DPPH assays. The scavenging effect of plant samples was compared with positive control of ascorbic acid. The FRAP assay demonstrated the conversion of ferric 2,4,6 tripyridyl-5-triazine (Fe\u003csup\u003e3+\u003c/sup\u003e) to ferrous (Fe\u003csup\u003e2+\u003c/sup\u003e), indicating the presence of phenolic compounds with strong antioxidant activity. This experiment demonstrated a dose-dependent scavenging effect of 700 nm. For FRAP, a concentration of 100 mg/mL showed an inhibition percentage of 55.85%, and the IC\u003csub\u003e50\u003c/sub\u003e value was determined to be 82.2 mg/mL (Fig. \u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003e). When compared to the plant sample, the standard of ascorbic acid showed a significant scavenging effect on the DPPH radical. This effect increased with higher concentrations of 2.5, 5, 25, 50, 75, and 100 mg/mL. For FRAP, the plant sample at a maximum concentration of 100 mg/mL showed 62.51% inhibition with an IC\u003csub\u003e50\u003c/sub\u003e value of 76.25 mg/mL (Fig. \u003cspan class=\"InternalRef\"\u003e8\u003c/span\u003e). When compared to the positive control of ascorbic acid, the scavenging effect of the plant sample was similar. The ABTS radical scavenging activity of the plant extract indicated a high presence of phenol compounds, which effectively inhibited the ABTS radicals (2,2’-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid). The maximum concentration of 100 mg/mL resulted in 79.14% inhibition, while ascorbic acid exhibited 96% inhibition and the IC\u003csub\u003e50\u003c/sub\u003e value of the plant sample was determined to be 51.05 mg/mL (Fig. \u003cspan class=\"InternalRef\"\u003e9\u003c/span\u003e).\u003c/p\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec28\" class=\"Section2\"\u003e\n \u003ch2\u003eInvitro Antidiabetic activities\u003c/h2\u003e\n \u003cp\u003eAntidiabetic activities of methanolic extract of \u003cem\u003eC. cuspidatus\u003c/em\u003e leaf extract exhibited α-amylase inhibition, indicating the potential of compounds that are inhibitory against the enzyme. The plant sample exhibited a significant inhibitory effect of 69% on the α-amylase enzyme, while the control metformin demonstrated a higher inhibition range of 73.12% at a concentration of 100 mg/mL. The IC\u003csub\u003e50\u003c/sub\u003e value of α-amylase inhibition of the plant sample was determined to be 78.2 mg/mL 0.953 (Fig. \u003cspan class=\"InternalRef\"\u003e10\u003c/span\u003e). Following, the sample exhibited an α-glucosidase inhibitory activity of 59.12% at a concentration of 100 mg/mL, whereas the control metformin demonstrated an inhibition activity of 82.65% (Fig. \u003cspan class=\"InternalRef\"\u003e11\u003c/span\u003e). The IC\u003csub\u003e50\u003c/sub\u003e value of the plant sample was found at 82.64 mg/mL.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec29\" class=\"Section2\"\u003e\n \u003ch2\u003eInvitro Anti-inflammatory activity\u003c/h2\u003e\n \u003cp\u003eInhibition of protein denaturation was determined by bovine serum albumin and the sample effectively inhibited heat-induced albumin protein. At a maximum concentration of 100 mg/mL exhibited a 58% inhibition, while the positive control of diclofenac sodium standard showed 88% inhibition. The IC\u003csub\u003e50\u003c/sub\u003e value of the plant sample was determined to be 44.65 mg/mL. The plant sample exhibited significantly reduced inflammation, indicating potential non-steroidal anti-inflammatory properties in the \u003cem\u003eC. cuspidatus\u003c/em\u003e leaf sample. The positive correlation experiment of the protein degradation assay was reported in Fig. \u003cspan class=\"InternalRef\"\u003e12\u003c/span\u003e.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eAntibacterial activity\u003c/h3\u003e\n\u003cp\u003eTo control gastrointestinal probiotics, it is important to examine the antibacterial potential to maintain the gut microbiome. By measuring the zone of inhibition (mm), the three bacterial strains’ agar well diffusion against methanolic extract was observed. It was noted that \u003cem\u003eS. aureus\u003c/em\u003e showed more potential inhibition than \u003cem\u003eE. coli\u003c/em\u003e and \u003cem\u003eK. pneumonia\u003c/em\u003e in terms of effectiveness. Tables \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e and\u0026nbsp;\u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e illustrate the findings of the highest efficient bacterial inhibition at a concentration of 100 µg among the varied concentrations.\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab5\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eAntibacterial measurement of the zone of inhibition\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"5\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eBacterial strain\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e5 µg concentration\u003c/p\u003e\n \u003cp\u003e(mm)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e25 µg concentration\u003c/p\u003e\n \u003cp\u003e(mm)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e50 µg concentration\u003c/p\u003e\n \u003cp\u003e(mm)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e100 µg concentration\u003c/p\u003e\n \u003cp\u003e(mm)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eEscherichia coli\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eKlebsiella pneumonia\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u003cem\u003eStaphylococcus aureus\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cstrong\u003eTable 6.\u003c/strong\u003e Antibacterial activity of \u003cem\u003eChamaecostus cuspidatus\u0026nbsp;\u003c/em\u003eleaf extract against bacteria.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cdiv id=\"Sec31\" class=\"Section2\"\u003e\n \u003ch2\u003eAnticancer activity\u003c/h2\u003e\n \u003cp\u003eThis cytotoxicity assay is employed to assess cell viability and determine the toxic dose for cancer cells. Similarly, \u003cem\u003eC. cuspidatus\u003c/em\u003e demonstrated toxicity to HepG2 cells based on dosage. The crude extract was analyzed and it was found that MMS exhibited notable cytotoxicity towards the hepatic (HepG2) cell line, as demonstrated using the MTT assay. The concentrations selected for assessment yielded an IC\u003csub\u003e50\u003c/sub\u003e value of 165.21 mg/mL (Fig. \u003cspan class=\"InternalRef\"\u003e13\u003c/span\u003e). These findings demonstrate that the plant extract from \u003cem\u003eC. cuspidatus\u003c/em\u003e effectively inhibited the growth of cancer cells in a dose-dependent manner, with a significant level of inhibition.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec32\" class=\"Section2\"\u003e\n \u003ch2\u003eComputational studies\u003c/h2\u003e\n \u003cdiv id=\"Sec33\" class=\"Section3\"\u003e\n \u003ch2\u003eScreening of lead molecule\u003c/h2\u003e\n \u003cp\u003eBased on the GCMS result 16 compounds have been demonstrated in drug-likeness analysis using ADMETlab 2.0 and the Swiss ADME online tool which is significant for prediction of biological activity and further studies (Supplementary file). Among all compounds, three ligands fulfilled drug-likeness rules including nordiazepam, 1,2-benzene dicarboxylic acid, and akuammilan-17-oL. These three ligands were selected for drug-likeness evaluation and pharmacokinetics property investigation with standard metformin (Table \u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003e).\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab7\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eDrug-likeliness rule and ADMET property of metformin, akuammilan-17-ol 1,2-benzene dicarboxylic acid, and nor-diazepam.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003ccolgroup cols=\"5\"\u003e\u003c/colgroup\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eDrug-likeliness rule and ADMET Property\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eMetformin\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAkuammilan-17-ol\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e1,2-Benzene dicarboxylic acid\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eNor-diazepam\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMolecular weight (g/mol)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e129.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e324.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e222.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e373.79\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRotatable bond\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eH bond acceptor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eH bond donor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eConsensus Log P\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e-0.89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.43\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2.06\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMolar refractivity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e36.93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e102.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e58.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e103.20\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eTopological polar surface area (Å\u003csup\u003e2\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e91.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e45.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e52.60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e91.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eLipinski\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eGhose\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eVeber\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eEgan\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eBioavailability score\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCYP1A2 inhibitor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCYP2C19 inhibitor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCYP2D9 inhibitor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCYP2D6 inhibitor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCYP3A4 inhibitor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eClearance\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.531\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.247\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.514\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ehERG Blocker (KCNH2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.176\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.136\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.225\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eDrug-induced liver injury\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.101\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.404\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.985\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAMES toxicity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.024\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.093\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.132\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eCarcinogenicity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.835\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.923\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.035\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.042\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eRespiratory toxicity\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.843\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.025\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e0.037\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003c/div\u003e\n \u003cdiv id=\"Sec34\" class=\"Section3\"\u003e\n \u003ch2\u003eProtein-Ligand interaction\u003c/h2\u003e\n \u003cp\u003eSelected ligands chosen as druglikeness candidates, further proceed for molecular docking analysis with standard metformin ligands. In comparative analysis, it was observed that nordiazepam showed the best affinity (-9.3 kcal/mol) towards the 1B2Y (α-amylase), followed by akuammilan-17-ol (-7.5 kcal/mol), 1,2-benzene dicarboxylic acid (-6.6 kcal/mol) and metformin (-5.3 kcal/mol). For 5NN8 (α-glucosidase), nor-diazepam exhibited the higher affinity (-8.9 kJ/mol) followed by 1,2-benzene dicarboxylic acid (-7.2 kcal/mol), akuammilan-17-ol (-7.0 kcal/mol) and metformin (-4.7 kcal/mol). The 2D interaction and 3D receptor surface interaction poses are presented in Figure. 14. When compared to all, nor-diazepam exhibited strong binding interaction with both α-amylase and α-glucosidase protein, while metformin revealed the weakest binding affinity among all. In docking observation, the analysis revealed that plant compound from \u003cem\u003eC. cuspidatus\u003c/em\u003e exhibited a significant interaction with the α-amylase protein, followed by the α-glucosidase protein.\u003c/p\u003e\n \u003c/div\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003e \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e also known as \u003cem\u003eCostus igneus\u003c/em\u003e and Spiral Flag, has been studied for its therapeutic properties. Few studies have focused on the Costaceae family and found novel compounds such as quercetin [32], insulin-like protein [33], and diosgenin [34], which have gained attention in the development of synthetic pharmaceuticals [35]. But in India, \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e is primarily grown as an unexplored ornamental plant. Early studies on \u003cem\u003eC. cuspidatus\u003c/em\u003e revealed a higher content of cardiac glycosides, polyphenols, and flavonoids; these are believed to be the primary chemicals that are responsible for providing the species with anti-inflammatory and antioxidant qualities [36]. In our investigation, we noticed that the extract had a noticeably greater phenolic concentration. Expected, frequently found polyphenolic chemicals called tannin and flavonoids are utilized in medicine to treat a variety of ailments and infections [37]. Besides offering health advantages, botanical intermediate and secondary metabolism products are essential for skin-related infection healing of wounds and antioxidant activity. Since endogenous polyphenolic compounds can prevent ROS, additional research into the phytochemicals of \u003cem\u003eC. cuspidatus\u003c/em\u003e is recommended.\u003c/p\u003e \u003cp\u003eDifferent functional groups, comprising phenol, aliphatic, aromatic rings, alcohol, hydroxyl, amines, and carbonyl were indicated by distinct FTIR spectrum and the presence of the hydroxyl bioactive components, aromatic rings, and fatty acid derivatives was detected by the NMR spectrum. The GCMS chromatogram disclosed that fatty acid derivatives predominated over all other components, with particular mention made of the main fatty acids found in eaves, namely 9-octadecenamide (linolenic acid), hexadecanamide (palmitic acid), and 1,2-benzene dicarboxylic acid (phthalic acid). This derivative of fatty acids could be responsible for the plant\u0026rsquo;s antibacterial properties, signaling mechanism, and stress response. This plant has sixteen chemically varied metabolites, nor-diazepam, and the indole alkaloid akuammilan-17-ol, compounds that have not previously been documented. Recently, research on \u003cem\u003ePleione maculata\u003c/em\u003e discovered the existence of nor-diazepam, which had antiviral properties when linked with the SARS-CoV-2 spike protein [38]. Remarkably, nordiazepam has anti-epileptic properties and is utilized therapeutically as a psychiatric medication [39]. Moreover, this may be a significant factor in its anti-Alzheimer potential [40]. Previous studies have identified and confirmed the presence of 30 phytochemicals in \u003cem\u003eCostus lucanusianus\u003c/em\u003e [41]. To the best of our understanding, this is the first report of an alkaloid compound identified as akuammilan-17-ol alkaloid compound.\u003c/p\u003e \u003cp\u003eThis study showed a significant relationship between polyphenols, flavonoids, and tannins, emphasizing the vital importance of which antioxidant test produced outcomes that were comparable to those from \u003cem\u003eCostus igneus.\u003c/em\u003e Similarly, \u003cem\u003eC. cuspidatus\u003c/em\u003e had a greater capacity to scavenge free radicals; this property may be associated with the presence of hydroxyl molecules. The significance of α-amylase and α-glucosidase enzymes in this research originates from the recognition this particular plant is frequently referred to as an insulin plant and is linked to diabetes. The study expands on previous research that demonstrates a dose-dependent inhibition by the \u003cem\u003eCostus speciosus\u003c/em\u003e [42] in alcohol and aqueous extracts. In further research exhibiting dose-dependent inhibition, \u003cem\u003eC. cuspidatus\u003c/em\u003e was found to have an insulin-like protein, which could be the sensitizer for cells [43]. Early research studies have shown that administering quercetin regularly helps decrease blood glucose levels. This plant contains quercetin, which may be the cause of its antioxidant and antidiabetic properties [44] [45]. Although \u003cem\u003eC. cuspidatus\u003c/em\u003e has previously reported the existence of coumaric acid precursor, which may be responsible for its anti-inflammatory properties, it demonstrated a rather strong inhibition of albumin. On the other hand, few studies have been done on this chemical in coumaric acid [46].\u003c/p\u003e \u003cp\u003eChemically varied structural components found in plants can suppress infections, and phthalic acid constituents may play a crucial role in both antibacterial characteristics and potential for clinical study. Interestingly, \u003cem\u003eC. cuspidatus\u003c/em\u003e exhibits an active zone of inhibition in very low concentrations hence it could be a treatment plant for microbial resistance. Previous studies on \u003cem\u003eCostus speciosus\u003c/em\u003e have also supported the antimicrobial property, when compared to the gram-negative bacteria gram-positive bacteria show the highest percentage of inhibition because of peptidoglycan. The main intention of in vitro anticancer activity is to identify potentially toxic compounds that can disrupt cellular functions. Although there is a significant need for more research in this field because unexplored \u003cem\u003eInsulin\u003c/em\u003e plant compounds and the anticancer potential of Costaceae plants have not been fully explored in vivo this field area is yet to focus. However, several studies have demonstrated the Costaceae plants exhibit cytotoxicity against cancer lines [47]. According to some research, the chemical akuammilan-17-ol has therapeutic qualities and can process within malignant cells in the sense of cell division, proliferation, and invasion [48]. In the pharmacokinetic analysis of selected phytochemicals including nordiazepam, 1,2-benzene dicarboxylic acid, and akuammilan-17-oL ligands have druglikeness activity and higher molecular binding affinity than metformin. Therefore, further animal and human clinical investigation is necessary to validate the efficacy. However, our study result explored the nor-diazepam compound in \u003cem\u003eC. cuspidatus\u003c/em\u003e leaf that can increase the attention for diabetic-related Alzheimer's disease and 1,2-benzene dicarboxylic acid and akuammilan-17-ol indicates new and novel potential as a therapeutic agent for hyperglycemia.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn summary, the research conducted on the phytochemical composition of \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e plant leaves has identified the presence of bioactive compounds through quantitative and qualitative analysis. In vitro activity, including antioxidant, anti-diabetic, anti-inflammatory, antibacterial, and anti-cancer activity on the HepG2 cell line, all demonstrated IC\u003csub\u003e50\u003c/sub\u003e efficacy. Selected compounds revealed ADMET properties for the potential lead molecule of the methanolic extract and showed the bioavailability and toxicity range. In computational studies, enzyme inhibition activity confirmed the strong affinity and molecular interaction with protein-ligand. In addition, the nordiazepam exhibited favorable binding energy and demonstrated safe pharmacokinetic properties in ADMET studies. Also, this is the first scientific report on akuammilan-17-ol presence in the \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e leaf.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eABTS - 2,2\u0026rsquo;-Azino-bis (3-ethylbenzothiazoline-6-sulfonic acid\u003c/p\u003e\n\u003cp\u003eADMET \u0026ndash; Absorption Distribution Metabolism Excretion Toxicity\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBSA - Bovine Serum Albumin\u003c/p\u003e\n\u003cp\u003eCO\u003csub\u003e2\u0026nbsp;\u003c/sub\u003e\u0026ndash; Carbon dioxide\u003c/p\u003e\n\u003cp\u003eDMEM - Dulbecco\u0026rsquo;s Modified Eagle Medium\u003c/p\u003e\n\u003cp\u003eDMSO \u0026ndash; Dimethyl sulfoxide\u003c/p\u003e\n\u003cp\u003eDNS \u0026ndash; 3,5-Dinitrosalicyclic acid\u003c/p\u003e\n\u003cp\u003eDPPH - 2,2\u0026apos;-diphenyl-1-picrylhydrayl\u003c/p\u003e\n\u003cp\u003eFDA - Food and Drug Administration\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFT-NMR \u0026ndash; Fourier transform\u0026nbsp;Nuclear Magnetic Resonance Spectroscopy\u003c/p\u003e\n\u003cp\u003eFTIR - Fourier Transform Infrared Spectroscopy\u003c/p\u003e\n\u003cp\u003eFRAP \u0026ndash; Ferric Reducing Antioxidant Power\u003c/p\u003e\n\u003cp\u003eGCMS - Gas Chromatography-Mass Spectrometry\u003c/p\u003e\n\u003cp\u003eGAE - Gallic Acid Equivalent\u003c/p\u003e\n\u003cp\u003eHPLC \u0026ndash; High-performance liquid chromatography\u003c/p\u003e\n\u003cp\u003eH\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e2\u0026nbsp;\u003c/sub\u003e\u0026ndash; Hydrogen peroxide\u003c/p\u003e\n\u003cp\u003eIC\u003csub\u003e50\u0026nbsp;\u003c/sub\u003e\u0026ndash; Half maximal inhibitory concentration\u003c/p\u003e\n\u003cp\u003eMHA - Muller Hinton Agar\u003c/p\u003e\n\u003cp\u003eMTT - 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide\u003c/p\u003e\n\u003cp\u003eM.M - Molecular Mass\u003c/p\u003e\n\u003cp\u003eNCCS - National Centre for Cell Science\u003c/p\u003e\n\u003cp\u003eNIST - National Institute of Standards and Technology\u003c/p\u003e\n\u003cp\u003ePARC - Plant Anatomy Research Centre\u003c/p\u003e\n\u003cp\u003ePNP \u0026ndash; p-nitrophenol\u003c/p\u003e\n\u003cp\u003ePpm \u0026ndash; Parts per million\u003c/p\u003e\n\u003cp\u003eQE - Quercetin Equivalent\u003c/p\u003e\n\u003cp\u003eRMSD - Root Mean Square Deviation\u003c/p\u003e\n\u003cp\u003eRpm \u0026ndash; Revolution per minute\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eROS \u0026ndash; Reactive Oxygen Species\u003c/p\u003e\n\u003cp\u003eTAE - Tannin Acid Equivalent\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors sincerely acknowledge the Vellore Institute of Technology, Vellore, India for the support and laboratory facility provided for this research.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that there are no conflicts of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthorship contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMenaka Priya Balaji\u0026nbsp;\u003c/strong\u003e\u0026ndash; Conceptualization, Methodology, Original draft preparation, Writing- Reviewing \u0026amp; Editing.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDevi Rajeswari V\u003c/strong\u003e - Supervision, Project administration, Visualization, Reviewing \u0026amp; Editing.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNo funding was provided for the research work.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data that has been used is confidential.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of competing interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eORCID\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMenaka Priya Balaji \u0026ndash;\u0026nbsp;\u003c/strong\u003ehttps://orcid.org/0000-0002-0494-6579\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDevi Rajeswari V -\u0026nbsp;\u003c/strong\u003ehttps://orcid.org/0000-0002-1914-6451\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003ePradeepa, R. and Mohan, V. 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Biomed.\u003c/em\u003e 2,\u003c/li\u003e\n\u003cli\u003eRamirez, A. and Garcia-Rubio, S. (2005) Current Progress in the Chemistry and Pharmacology of Akuammiline Alkaloids. \u003cem\u003eCurr. Med. Chem.\u003c/em\u003e 10, 1891\u0026ndash;1915\u003c/li\u003e\n\u003c/ol\u003e\n"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Antidiabetic, Anti-inflammatory, HepG2, Chamaecostus cuspidatus, Docking","lastPublishedDoi":"10.21203/rs.3.rs-3990166/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3990166/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e \u003cem\u003eChamaecostus cuspidatus\u003c/em\u003e is a mysterious plant with potential therapeutic properties for the amelioration of diabetic mellitus and related complications. This investigation aims to determine the potential phytochemicals through GCMS, FTIR, and NMR techniques. The objective is to perform in-vitro assays on the extract to evaluate its potential in various domains including antioxidant, antidiabetic, anti-inflammatory, antibacterial, and anticancer effects. The extract of methanol has demonstrated significant antioxidant properties due to its high phenolic content (3.523 mg GAE/g), flavonoid content (2.55 mg QE/g), and total tannin content (2.133 mg TAE/g). GC-MS analysis of leaf extract depicted the presence of 16 bioactive compounds among 9-octadecenamide, 7-nonenamide, 13-docosenamide, and hexadecanamide are enrich essential fatty acids. The NMR spectrum of \u003csup\u003e13\u003c/sup\u003eC confirms the presence of functional bioactive compounds. This work includes molecular computational studies, specifically protein-ligand docking energy and ADMET analysis. Selected screened compounds including akuammilan-17-ol, nor-diazepam, 1,2-benzene dicarboxylic acid, and standard metformin were investigating the interaction against α-amylase and α-glucosidase. The ligand of nor-diazepam showed the highest binding affinity compared to akuammilan-17-ol, 1,2-benzene dicarboxylic acid, and metformin; therefore, nor-diazepam could be the focus of more in-depth research.\u003c/p\u003e","manuscriptTitle":"In-vitro and in-silico investigation of α-amylase and α-glucosidase inhibition using Chamaecostus cuspidatus leaf for diabetes mellitus","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-03-01 15:36:42","doi":"10.21203/rs.3.rs-3990166/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"70e5b912-f3ed-4012-ac2f-7d2572975b38","owner":[],"postedDate":"March 1st, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-03-01T15:36:44+00:00","versionOfRecord":[],"versionCreatedAt":"2024-03-01 15:36:42","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3990166","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3990166","identity":"rs-3990166","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}