Neuroprotective and antioxidant effects of digoxin derivative (BD-8) in an LPS-induced neuroinflammation model

Neuroprotective and antioxidant effects of digoxin derivative (BD-8) in an LPS-induced neuroinflammation model | 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 Neuroprotective and antioxidant effects of digoxin derivative (BD-8) in an LPS-induced neuroinflammation model Vitória Karolina Brandão Souza, Davi Azevedo Ferreira, Antônio Pereira Ribeiro Arantes, and 13 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9284032/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 21 You are reading this latest preprint version Abstract Chronic neuroinflammation is a key factor in neurological and neuropsychiatric disorders, including depression and cognitive impairment. Persistent activation of microglia and astrocytes leads to the release of pro-inflammatory mediators and oxidative stress, contributing to neuronal damage. Therefore, therapies targeting central nervous system inflammation are of great interest. BD-8, a digoxin-derived cardiosteroid, has shown selectivity for the α2 isoform of Na⁺/K⁺-ATPase, expressed in peripheral and neuronal cells, particularly astrocytes, along with promising neuroprotective and anti-inflammatory effects. This study evaluated BD-8’s cytotoxicity in SH-SY5Y and BV-2 cells using the MTT assay, and its in vivo neuroprotective, anxiolytic, and antioxidant effects in rodent models. Wistar rats were used for systemic toxicity, while Swiss mice underwent LPS-induced neuroinflammation. Behavioral (Open Field test), biochemical, and oxidative stress markers were assessed in cortex and hippocampus. BD-8 showed lower cytotoxicity than digoxin and no adverse effects on cardiac, hepatic, or renal markers in vivo. It improved exploratory behavior and reduced LPS-induced sickness behavior. Additionally, BD-8 decreased lipid peroxidation and restored antioxidant enzyme activity (SOD, CAT, GPx). These findings highlight BD-8 as a promising therapeutic candidate for neuroinflammatory conditions. Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Highlights - BD-8 exerted an increased effect on total exploration in the open field test - BD-8 prevents LPS-induced impairment of locomotor behavior - BD-8 modulates antioxidant enzyme activities in the brain 1. Introduction Peripheral inflammation, whether due to viral infections, autoimmune diseases, or acute conditions such as sepsis, can trigger neuroinflammation (Sun et al., 2022). This inflammatory response in the brain can become chronic, characterized by the activation and persistence of microglia and astrocytes, and recent evidence indicates that inflammation is not only a consequence but a significant etiological factor in the progression of neurodegenerative diseases (Xie et al., 2021). Therefore, modulating peripheral inflammation emerges as a promising additional therapeutic strategy in the prevention and treatment of neurodegenerative disorders. To test anti-inflammatory drugs, neuroscience research frequently uses animal models induced by Lipopolysaccharide (LPS), a bacterial endotoxin, in the central nervous system (CNS). LPS triggers neurotoxicity, increases reactive oxygen species (ROS), disrupts synaptic function, and contributes to neurodegenerative processes (Khan et al., 2019), as well as neuropsychiatric symptoms, such as sickness behavior, are considered analogous to characteristics observed in major depression (Dantzer et al., 2008). Endogenous cardiotonic steroids, such as Ouabain and digoxin, are classic ligands (Fujita-Sato et al., 2011) of Na⁺/K⁺-ATPase and exhibit anti-inflammatory effects (Dvela et al., 2007; Leite et al., 2015). These compounds modulate processes such as cell migration, vascular permeability, oxidative stress, and the production of pro-inflammatory cytokines (Cavalcante-Silva et al., 2017; Leite et al., 2022a; Manna et al., 2006; Rodrigues-Mascarenhas et al., 2009; Yang et al., 2005). Our group has demonstrated that Ouabain reduces pro-inflammatory cytokines and inhibits the MAPK p38 and nuclear translocation of nuclear factor kappa B (NF-κB) signaling pathways (Cavalcante-Silva et al., 2021), in addition to attenuating characteristics of the allergic asthmatic response (Galvão et al., 2022). Digoxin, in turn, appears to inhibit the differentiation of Th0 cells into Th17 cells (Fujita-Sato et al., 2011; Huh et al., 2011; Lee et al., 2015). The neuroprotective activity of Ouabain has also been described (Kinoshita et al., 2022). In vivo studies show that it exerts a protective effect against LPS-induced neuroinflammation in the hippocampus of rats, reducing the activation and NF-κB, thereby decreasing the expression of iNOS and IL-1β (Kinoshita et al., 2014). In addition, Ouabain reduced oxidative stress in the cerebellum of LPS-challenged rats (Garcia et al., 2018). Additionally, digoxin significantly rescued rats from memory loss caused by intracerebroventricular injection of streptozotocin, decreasing hippocampal cell death, neuroinflammation, and cholinergic deficiency (Erdogan et al., 2022). Our group developed new digoxin derivatives that explore α-NKA specificity for their therapeutic potential (Alves et al., 2015). The compound 21BD exhibits distinct chemical properties but maintains significant anti-inflammatory effects (Vieira et al., 2018). Another derivative, BD-15, demonstrated neuroprotective actions, including inhibition of H₂O₂ production, lipid peroxidation, and other markers of oxidative stress, reinforcing the potential of digoxin derivatives as therapeutic agents (Cordeiro et al., 2025; de Souza Gonçalves et al., 2019). More recently, our team developed the derivative BD-8, which selectively stimulated the α2 isoform of Na⁺/K⁺-ATPase in a heterologous Sf9 system (Pessôa et al., 2018). Our data demonstrated that BD-8 decreases the expression of iNOS and the phosphorylation of NF-κB p65, ERK, and p38 in primary macrophage culture (Ferreira et al., 2024). Furthermore, BD-8 showed anti-inflammatory activity in vivo in a carrageenan-induced paw edema model in mice (Ferreira et al., 2024). However, there is no data about the neuroprotective effects of BD-8 in the CNS. Therefore, this study aimed to analyze the neuroprotective activity of BD-8 in vitro and in vivo in the context of oxidative damage and LPS-induced sickness behaviour. 2. Materials and methods 2.1. In vitro experiments 2.1.1. Chemistry The digoxin derivative (BD-8) was synthesized via a vinylogous aldol reaction followed by rearrangement, resulting from the chemical modification of the digoxin molecule with an appropriate benzaldehyde (Ferreira et al., 2024; Pessôa et al., 2018). The structure shown here corresponds to a revised version of the structure previously reported (see supporting information). The results of this new structural revision will be communicated in detail in a forthcoming study. This synthesis was carried out by the Laboratory of Organic Synthesis and Nanostructure of the Federal University of São João del-Rei. 2.1.2. Cell lines SH-SY5Y cells were acquired from the American Type Culture Collection located in Manassas, Virginia. They were cultivated in a mixture of DMEM and Ham's F-12 media provided (Gibco, Carlsbad, CA), enhanced with 10% fetal bovine serum (Bionutrientes), penicillin/streptomycin (Gibco) with concentration 100 U/mL, and 1 mM sodium pyruvate (Sigma), all while incubating at 37°C with 5% CO2. The BV-2 cell line, which is derived from C57BL/6 mouse brain microglia and has the BCRJ reference number 0356, was maintained in RPMI-1640 medium that included L-Glutamine, sodium bicarbonate, and 10% FBS, with a temperature set at 37°C and 5% CO 2 . 2.1.3. Cell viability assay The cytotoxicity of BD-8 (Sigma-Aldrich, O3125) was evaluated using an MTT (3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide) method (Sigma). In summary, SH-SY5Y and BV-2 cells were placed into 96-well plates (4×10⁴ cells per well for SH-SY5Y and 1×10⁴ cells per well for BV-2) to achieve an 80–90% confluence within 24 hours, followed by treatment with various concentrations of BD-8. After 120 hours, MTT (1 mg/mL) was introduced into each well, and the plates were incubated for 4 hours at a temperature of 37°C with 5% CO2. Formazan crystals were dissolved, and the optical density was measured using spectrophotometry at a wavelength of 570 nm. 2.2. In vivo experiments 2.2.1 Animals The experiments related to toxicology were conducted using male Wistar rats that were two months old, sourced from the UFSJ Central Animal Facility and housed in the CCO Sectorial Animal Facility. The environment maintained a controlled temperature of 22 degrees Celsius, with a variation of plus or minus two degrees, alongside a light/dark cycle lasting 12 hours, allowing the animals free access to food and water. This study received approval from the Animal Experimentation Ethics Committee (CEEA) under the protocol number 1057071022. For the evaluation of neuroprotection involving BD-8, male Swiss mice aged two months were sourced from the Central Animal Facility at the Federal University of Goiás (UFG). The mice were housed in an environment with a regulated temperature of 22°C ± 2°C, maintained under a 12-hour cycle of light and darkness, and had unrestricted access to both food and water. Every protocol utilized in this research received approval from the UFG Ethics Committee for Animal Use (CEUA/UFG nº 014/2). 2.2.2 Toxicological tests The rats were categorized into five distinct groups: Control (DMSO; 0.1%), BD-8 (0.02 mg/kg), BD-8 (0.1 mg/kg), BD-8 (0.2 mg/kg), and BD-8 (0.4 mg/kg). The subjects received intraperitoneal (i.p.) administration for three consecutive days. On the final day of treatment, the open field assessment was conducted. Seventy-two hours following the treatment, the rats were humanely killed using a combination of Ketamine (180 mg/kg) and Xylazine (30 mg/kg). 2.2.3 Neuroprotective activity In this research, the subjects were randomly divided into five categories (n = 8): Control (DMSO; 0.1%), LPS (1 mg/kg) (Escherichia coli serotype O111:B4), BD8 (0.28 mg/kg), BD8 (0.56 mg/kg), and BD8 (1.12 mg/kg). After one hour, the subjects were exposed to LPS (1 mg/kg, injected into the peritoneum), except for the control group, which was given a saline solution (0.9%). Four hours following the exposure, the open field assessment was conducted to observe sickness-related behaviors. A day after the LPS treatment, the subjects were euthanized, and samples from the total cortex and hippocampus were gathered for biochemical examinations. 2.2.4 Open field The open-field assessment was conducted to assess the toxicological impact on rats and to study the movement and exploration behavior in mice. For the toxicological assessment, the animals were housed in an acrylic enclosure (70cm × 70 cm × 40 cm) for a duration of 5 minutes. The parameters observed included: the frequency of shifts between squares, the frequency of transitions to the central square, and the instances of the animals lifting their front paws, which were utilized to gauge their movement and exploration activities (ÖZGE SELIN ÇEVIK et al., 2025). To evaluate behavioral alterations after LPS injection, mice were placed individually in a round arena (300 × 300 mm) and monitored for 5 minutes. The overall number of crossings into different quadrants and the duration spent in the central area were noted. 2.2.5 Biochemical parameters 2.2.5.1 Plasma analysis Blood samples were obtained from anesthetized rats via intracardiac puncture. The samples were then centrifuged at 1,000 g for 15 minutes at a temperature of 4°C. The resulting plasma was frozen at -80°C for future biochemical assessments. A commercial kit was used to analyze total proteins, glucose levels, total cholesterol, total triglycerides, total lactate, total bilirubin, AST, ALT, CK-MB, and lactate dehydrogenase (LDH), following the guidelines provided by the manufacturer (Labtest, Bioclin, Analisa). 2.2.5.2 Preparation of brain samples and protein content determination After the last behavioral assessment, the subjects were sedated via intraperitoneal injection of ketamine combined with xylazine hydrochloride. Following this, they were put down through decapitation, and both the hippocampus and entire cortex were meticulously removed and separated. The tissue samples were blended in a solution of 50 mM potassium phosphate buffer at a pH of 7.4 in a ratio of 1:6 (weight/volume). The homogenate obtained was centrifuged at 8,000 × g for 10 minutes to separate the low-speed supernatant. The overall protein concentration in the samples was analyzed utilizing the Bradford assay (Bradford, 1976), employing bovine serum albumin (BSA) as a reference standard. 2.2.5.4 Determination of thiobarbituric acid reactive substances (TBARS) Thiobarbituric acid-reactive substances (TBARS) were assessed using the technique outlined by Ohkawa, Ohishi, and Yagi in 1979, with slight adjustments. For this analysis, a solution containing 10% trichloroacetic acid (TCA), 0.8% thiobarbituric acid (TBA), and 3% sodium dodecyl sulfate (SDS) was incorporated into the HT fraction. This mixture was subjected to heating at 95 degrees Celsius for one hour. The resultant product from the reaction was measured using a spectrophotometer at a wavelength of 532 nanometers. The findings were reported as malondialdehyde (MDA) equivalents, which were derived from a standard curve of MDA and presented in terms of nmol per mg of protein. 2.2.5.5 Superoxide dismutase (SOD) activity The activity of superoxide dismutase (SOD) was determined spectrophotometrically using a slightly modified method derived from the approach of Misra and Fridovich (1972). This method is based on SOD's ability to inhibit the autoxidation of adrenaline. Specifically, the S1 fraction was incubated with 60 mM adrenaline tartrate and glycine buffer (50 mM, pH 10). The absorbance was measured at 480 nm. Enzyme activity was expressed as SOD units (U) per milligram of protein. 2.2.5.6 Catalase (CAT) activity Catalase (CAT) activity was determined spectrophotometrically by measuring the decomposition of H₂O₂, following a slightly modified method based on Aebi's (1984) approach. Specifically, the S1 fraction was incubated with 86 mM H₂O₂ and 50 mM sodium phosphate buffer (pH 7.0). The reaction progress was monitored using a spectrophotometer at 240 nm. Enzyme activity was expressed as CAT units (U) per milligram of protein. 2.2.5.7 Glutathione peroxidase (GPx) activity The activity of glutathione peroxidase (GPx) was determined using a slightly modified method described by Wendel (1981). Specifically, the S1 fraction was placed in a microplate containing 100 mM potassium phosphate buffer and 90 mM sodium azide and incubated at room temperature in the dark for 30 minutes. After incubation, 100 mM reduced glutathione (GSH), 20 mM NADPH, and 2 U/mL glutathione reductase (GR) were added. The reaction was initiated with 100 mM H₂O₂, and the decrease in absorbance due to NADPH oxidation was measured at 340 nm. GPx activity was expressed as U/mg protein. 2.6. Statistical Analysis Cytotoxicity was analyzed using one-way ANOVA and Tukey's post-hoc test. The results of the BD-8 open field assay were evaluated using the Shapiro-Wilk test and ANOVA. The effects of BD-8 on LPS-induced behavioral and biochemical responses were analyzed using one-way ANOVA and Tukey's multiple comparisons test. p < 0.05. Six to eight animals were included in each group. Figures and graphs are presented as mean ± standard error. p < 0.05 was considered statistically significant. Data analysis was performed using Prism 9 (GraphPad Software, San Diego, California, USA). 3. Results 3.1. Cell cytotoxicity To evaluate the cytotoxic effects of BD-8 and digoxin, we determined the CC₅₀ and CC₂₀ values in BV-2 and SH-SY5Y cells across a range of drug concentrations during 120h. As shown in Fig. 1 A, digoxin treatment in SH-SY5Y cells resulted in CC₅₀ and CC₂₀ values of 33 nM and 18 nM, respectively. In contrast, BD-8 treatment in SH-SY5Y cells (Fig. 1 B) yielded markedly higher CC₅₀ and CC₂₀ values (7.4 µM and 5.3 µM, respectively), For SH-SY5Y cells treated with BD-8 (Fig. 1 B), the CC₅₀ and CC₂₀ values were 7.4 µM and 5.3 µM, respectively. In BV-2 cells (Fig. 1 C), BD-8 exhibited CC₅₀ and CC₂₀ values of 8.5 µM and 7.0 µM, respectively. 3.2 BD8 exerted an increased effect on total exploration in the open field test During a 3-day treatment with applications every 24 hours, our results demonstrated a significant increase in the animals' overall exploratory activity. All tested doses—20 µg/kg (85.50 ± 8.54), 100 µg/kg (96.77 ± 6.21), 200 µg/kg (83.38 ± 6.90), and 400 µg/kg (99.75 ± 7.59)—led to a higher number of total squares crossed compared to the control group (53.92 ± 8.05 squares), indicating a clear interest in exploring the new environment of the apparatus (Fig. 2 A). This exploratory behavior was reinforced by the analysis of the central squares, where the 20 µg/kg to showed a significantly greater presence in the center of the arena (10.36 ± 2.08) than the control group (2.41 ± 0.7) (Fig. 2 B). This finding not only corroborates the increase in exploration but also suggests a reduction in the anxiety-like state, as the animals ventured more into the exposed area of the field. Additionally, the rearing behavior, also showed a statistically significant increase at the 100 µg/kg (23.23 ± 2.60), 200 µg/kg (22.38 ± 1.62), and 400 µg/kg (23.85 ± 2.51) doses when compared to the control group (14.0 ± 1.91) (Fig. 2 C). Taken together, the increase in horizontal locomotion, the greater presence in the center of the arena, and the higher frequency of rearings indicate that the treatment promoted robust exploratory behavior and an suggestive anxiolytic effect, consistent with decreased avoidance of the center. 3.3 BD8 presents a systemic biological safety effect in the blood markers To evaluated the systemic safety of BD8, we analyzed key biochemical parameters in blood samples to identify potential deleterious effects. Our results, presented in Table 1, show that BD8 did not cause significant alterations in any of the tested markers for cardiac, liver and renal function. This finding is particularly noteworthy when contrasted with cardenolides, such as Oleandrin, which is known to induce cardiotoxicity. Previous, studies such as Botelho et al. (2020) have reported that Oleandrin is associated with elevated levels of Lactate Dehydrogenase (LDH), a well-established marker of cellular damage and cardiac stress. In contrast, the absence of such changes following BD8 administration reinforces its favorable systemic safety profile, distinguishing it from other compounds with similar mechanisms of action but known toxic effects. 3.4 BD8 prevents LPS-induced impairment of locomotor behavior Following our previous studies using LPS as a model of neuroinflammation (Leite et al., 2020), we evaluated the effect of acute BD8 pretreatment on locomotor activity in the open-field test. After a total treatment period of 4 hours, our results showed that the LPS group (110.7 ± 5.094; P < 0.001; quadrant crossings) exhibited a significant 74.77% reduction in locomotor activity compared to the control group (27.93 ± 12.35), according to total crossing parameters (Fig. 3 A). In contrast, the BD8-treated groups at doses of 0.56 mg/kg (62.07 ± 3.269; P < 0.05) and 1.12 mg/kg (66.31 ± 5.282; P < 0.001) showed a higher number of crossings compared to the LPS group (Fig. 3 A). Moreover, the LPS group displayed an 83% reduction in the number of entries into the central quadrants relative to the control (CTR: 65.62 ± 7.422; LPS: 10.91 ± 2.535; P < 0.001), indicating probable motor dysfunction and sickness-like behavior (Fig. 3 B). This effect was prevented by BD8 pretreatment at doses of 0.28 mg/kg (36.38 ± 6.078; P < 0.05), 0.56 mg/kg (35.98 ± 4.601; P < 0.05), and 1.12 mg/kg (50.10 ± 6.474; P < 0.01), as evidenced by an increase in time spent in the center of the open field apparatus by 233%, 229%, and 359%, respectively, compared to the LPS group (Fig. 3 B). 3.5 BD8 reduces lipid peroxidation (LPO) levels We analyzed oxidative stress markers in the total cortex and hippocampus of mice challenged with LPS by measuring lipid peroxidation (LPO) through thiobarbituric acid-reactive substances (TBARS) levels (Fig. 4 ). Our data showed that LPS challenge increased LPO levels in the total cortex (19.13 ± 0.4437) (Fig. 4 A) and hippocampus (20.15 ± 1.553) (Fig. 3 B) 24 hours after LPS administration, compared to the control group, by 63.1% and 76.3%, respectively. LPO levels in the total cortex were markedly reduced in BD8-treated groups at doses of 0.28 mg/kg (15.51 ± 0.8751; P < 0.01), 0.56 mg/kg (14.38 ± 0.5568; P < 0.001), and 1.12 mg/kg (13.94 ± 0.8372; P < 0.001) compared to the LPS group (Fig. 4 A). In the hippocampus, however, only the 1.12 mg/kg dose (14.04 ± 0.5223; P < 0.001) significantly reduced LPO levels 24 hours after LPS challenge (Fig. 4 B). 3.6 BD8 modulates antioxidant enzyme activities Concomitantly, the effects of BD8 on the antioxidant defense system were evaluated in the total cortex and hippocampus of rodents after LPS challenge (Fig. 5 ). In the total cortex, superoxide dismutase (SOD) activity was significantly increased in the BD8-treated groups at 0.56 mg/kg (8.000 ± 0.7027; P < 0.05) and 1.12 mg/kg (7.004 ± 0.5575; P < 0.01) compared to the LPS group (Fig. 5 A). Similarly, catalase (CAT) activity was significantly elevated at doses of 0.56 mg/kg (8.711 ± 0.5037; P < 0.05) and 1.12 mg/kg (8.746 ± 0.6746; P < 0.01) relative to the LPS group (Fig. 5 B), and a similar pattern was observed for glutathione peroxidase (GPx) activity at 0.56 mg/kg (8.296 ± 0.4234; P < 0.05) and 1.12 mg/kg (9.072 ± 0.2476; P < 0.01) compared to LPS (Fig. 5 C). Comparable effects were observed in the hippocampus following the LPS challenge. SOD activity was significantly increased in the 0.56 mg/kg (11.68 ± 0.9774 P < 0.01), and 1.12 mg/kg (13.52 ± 0.7114; P < 0.001) BD8-treated groups compared to LPS (Fig. 5 D). Likewise, CAT activity was significantly elevated at 0.56 mg/kg (7.196 ± 0.5668; P < 0.05) and 1.12 mg/kg (9.787 ± 0.4146; P < 0.001) relative to LPS (Fig. 5 E). Similar results were observed for GPx activity at 0.56 mg/kg (4.990 ± 0.2508; P < 0.05) and 1.12 mg/kg (6.506 ± 0.4093; P < 0.01) compared to LPS (Fig. 5 F). 4. Discussion The presence of chronic neuroinflammatory processes underlies several neuropsychiatric and neurological disorders, including neurodegenerative diseases, epilepsy, and cognitive impairments (Abramovitz et al., 2011; Cobb and Cole, 2015). The glial cells' hyperactivation occurs as part of this process, leading to the release of pro-inflammatory cytokines, oxidative stress, and progressive neuronal damage (Cobb and Cole, 2015). In this context, new therapeutic compounds that can mitigate inflammation in the central nervous system (CNS) are highly relevant. It is well known that cardiotonic steroids, such as ouabain and digoxin, inhibit different α-isoforms of the Na⁺/K⁺-ATPase at high concentrations. The clinical use as a cardiotonic is limited by high toxicity and a narrow therapeutic margin (Ziff and Kotecha, 2016). Furthermore, the wide distribution of NKA in tissues contributes to its systemic effects, inducing cell toxicity (Kinoshita et al., 2022; Leite et al., 2022b). However, several studies have shown that low concentrations of cardiotonic steroids, are linked to the activation of signaling cascades (de Sá Lima et al., 2013; Kinoshita et al., 2022; Leite et al., 2022b; Orellana et al., 2018). This action can reverse LPS-induced glia activation, and prevent neuroinflammation as well as apoptosis processes in the peripheral and central nervous system (Abramovitz et al., 2011; Cavalcante-Silva et al., 2017; Kinoshita et al., 2014; Orellana et al., 2016). Recent studies from our group showed that BD-8, a derivative of the cardiosteroid digoxin, exhibits high selectivity for the for the Na⁺/K⁺-ATPase α2 isoform, which is expressed in peripheral tissues (such as cardiac, muscle, and adipose cells) and in astrocytes (Ferreira et al., 2024; Pessôa et al., 2018). Previous data also indicated that BD-8 showed reduced neurotoxicity in in silico studies (Ferreira et al., 2024). Consistently, in vitro treatment with BD-8 and Digoxin in SH-SY5Y and BV-2 cells revealed that BD-8 displays signicantly lower cytotoxicity than digoxin. Moreover, the BD-8 molecule showed a higher CC20 value than digoxin (Ferreira et al., 2024). This data reinforce our previously work that demonstrated the role in decrease toxicity through the synthetic modification on the lactone ring (Oliveira et al., 2021). Digoxin crosses the blood-brain barrier and can induce neuropsychiatric effects even at therapeutic doses (Eisendrath and Sweeney, 1987; Graafsma et al., 2025), in addition to causing neurotoxicity in animal models (Jaafar, 2017), and activating human astrocytes in vitro (Pamies et al., 2023). Previous studies demonstrate that the administration of cardiac glycosides in mice influences locomotor activity. For example, digoxin administered intragastrically at doses ≥ 1000 µg/kg significantly reduced spontaneous locomotor activity (Bai, Y.-L. et al. 2012). Furthermore, other studies have shown that mice treated with 650 µg/kg of digoxin exhibited a significant reduction in total distance traveled over 20 minutes in the open-field test, whereas doses of 1, 4, or 65 µg/kg produced no significant effect compared to the control group (Hashimoto et al., 2024). In contrast, our results demonstrate that a 3-day treatment with BD8, at doses of 20, 40, 200, and 400 µg/kg, promoted an increase in the animals' locomotor and exploratory activity relative to the control group—a profile distinct from that observed with digoxin. Moreover, no alterations were detected in blood biomarkers of cardiac, renal, and hepatic function, thereby evidencing a favorable safety profile for treatment with BD8. LPS remains one of the most widely used models to investigate mechanisms and therapies to decipher systemic and cerebral inflammation (Batista et al., 2019). Peripheral administration of LPS in animals leads to a biphasic response in both behavioral and biochemical parameters. The acute phase of sickness behavior peaks within 3 to 4 hours following LPS administration and manifests as a constellation of symptoms, including anhedonia, slowed movement initiation, reduced mobility, exploration, and grooming, hunched posture, and (Carregosa et al., 2024; Kawamoto et al., 2013). In the present study, LPS significantly reduced locomotor activity four hours after administration, consistent with sickness behavior and anxiety- or depression-like phenotypes described in the literature (Zhang et al., 2024). Importantly, BD8 attenuated these behavioral impairments. Both 0.56 mg/kg and 1.12 mg/kg increased locomotion and time spent in the center of the open field, suggesting partial reversal of sickness-related behavioral alterations.Locomotion is frequently impaired in neurological conditions such as Parkinson's disease, stroke, multiple sclerosis, and dementia (Allali et al., 2018). These neurodegenerative diseases are associated with the aging process, which is also related to increased basal levels of oxidative stress and neuroinflammation mediators (Orellana et al., 2015; Pizza et al., 2011). Oxidative stress arises when the production of reactive oxygen species (ROS) exceeds the antioxidant defense capacity, leading to damage to lipids, proteins, and DNA. The brain is particularly vulnerable to this imbalance due to its high oxygen consumption and relatively low antioxidant reserves (Patel, 2016). Furthermore, the interaction of cardiotonics with Na⁺/K⁺-ATPase can generate ROS by modulating cellular signaling pathways (Xie and Cai, 2003), a process relevant in conditions such as obesity and cardiovascular disease (Srikanthan et al., 2016). Oxidative stress plays a central role in the behavioral changes induced by LPS, with lipid peroxidation among the most consistent markers of this response. It has already been shown that LPS increases oxidative stress and damage to the prefrontal cortex and hippocampus in Parkinson's and Huntington's disease models (Kumar et al., 2023), in addition to being associated with depression- and anxiety-like behaviors (Zheng et al., 2021). Corroborating these findings, we observed that LPS significantly increased MDA levels in the total cortex and hippocampus in our model. Previous results from our group have shown that Ouabain and BD-15 reduce LPS-induced lipid peroxidation in multiple brain structures (Garcia et al., 2018; Garcia et al., 2019; Cordeiro et al., 2025). Furthermore, in vitro studies have shown that digoxin reduces MDA levels (Silva et al., 2017). In this work, we show that BD8 also reduces lipid peroxidation in the total cortex and hippocampus after LPS challenge, reinforcing the antioxidant potential of digoxin-derived compounds against neuroinflammation. Moreover, LPS administration has been shown to decrease the activity of key antioxidant enzymes, including glutathione peroxidase (GPx), superoxide dismutase (SOD), and catalase (CAT), particularly in the prefrontal cortex and hippocampus (Noh et al., 2014). Here, BD8 effectively reversed these alterations, restoring the activity of these enzymes in the total cortex and hippocampus. Supporting these findings, other studies have demonstrated that digoxin-derived compounds, such as BD-15, also modulate antioxidant enzyme activity in LPS-induced neuroinflammation (Carvalho, 2025), and that ouabain exerts regulatory effects on antioxidant defenses (Garcia et al., 2018). Mechanistic overview supported by measured endpoints is illustrated in Fig. 6 , LPS administration resulted in decreased locomotor activity and the administration of BD8 attenuated the behavioral alteration in mice challenged with LPS. This neuroprotective effect is mechanistically associated with a sustained reduction in markers of cerebral oxidative stress. As a digoxin derivative with an optimized safety profile, BD8 preserves neuronal integrity and behavioral homeostasis through its potent antioxidant action. Conclusion Taken together, the results indicate that the protective effects of BD8 against LPS-induced depression- and anxiety-like behaviors were accompanied by a consistent reduction in oxidative stress in the brain, reinforcing its potential as a safer and possibly neuroprotective derivative of digoxin. Declarations Acknowledgments: The authors would like also to thank to by contributing with support Leandro Oliveira Barbosa and Laboratório Central Analítica do Campus Centro Oeste da UFSJ LCACCO (FINEP and FAPEMIG grants). Author's contribution: Conceived and designed the experiments: VKBS, DAF, APRA, ESF, MFRF, PYOF, PCG, JAFPV, LAOB, MCL, IJPG, HLS, CS, SRM and JAL. Performed the experiments: VKBS, DAF, APRA, ESF, MFRF, PYOF, PCG, JAFPV, LAOB, MCL, IJPG, HLS, CS, SRM and JAL . Analyzed the data: VKBS, DAF, APRA, ESF, MFRF, PYOF, PCG, JAFPV, LAOB, HLS, CS, SRM, JAL . Wrote the paper: JAL, SRM and CS. All the authors read the revised manuscript. Funding – This study was funded by CNPq 409119/2023-7, 403646/2021-9 (Conselho Nacional de Desenvolvimento Científico e Tecnológico), FAPEMIG APQ-01288-21, APQ-01915-22 (Fundação de Amparo à Pesquisa do Estado de Minas Gerais), UFG (Universidade Federal de Goiás), CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), FINEP 1640-22 (Financiadora de Estudos e Projetos) FAPESP Process number 2021/06009-6 (Fundação de Amparo à Pesquisa do Estado de São Paulo). HLS, SRM and CS are research fellows of CNPq. Competing interests: The authors report no competing or potential conflicts of interest. References Abramovitz, L., Rubinek, T., Ligumsky, H., Bose, S., Barshack, I., Avivi, C., Kaufman, B., Wolf, I., 2011. KL1 Internal Repeat Mediates Klotho Tumor Suppressor Activities and Inhibits bFGF and IGF-I Signaling in Pancreatic Cancer. Clinical Cancer Research 17, 4254. Allali, G., Blumen, H.M., Devanne, H., Pirondini, E., Delval, A., Van De Ville, D., 2018. Brain imaging of locomotion in neurological conditions. Neurophysiol Clin 48, 337-359. Alves, S.L.G., Paixão, N., Ferreira, L.G.R., Santos, F.R.S., Neves, L.D.R., Oliveira, G.C., Cortes, V.F., Salomé, K.S., Barison, A., Santos, F.V., Cenzi, G., Varotti, F.P., Oliveira, S.M.F., Taranto, A.G., Comar, M., Silva, L.M., Noël, F., Quintas, L.E.M., Barbosa, L.A., Villar, J.A.F.P., 2015. γ-Benzylidene digoxin derivatives synthesis and molecular modeling: Evaluation of anticancer and the Na,K-ATPase activity effect. Bioorganic & Medicinal Chemistry 23, 4397-4404. Batista, C.R.A., Gomes, G.F., Candelario-Jalil, E., Fiebich, B.L., de Oliveira, A.C.P., 2019. Lipopolysaccharide-Induced Neuroinflammation as a Bridge to Understand Neurodegeneration. Int J Mol Sci 20. Bai, Y.-L. et al. A comparison of the effects of digoxin, ouabain and milrinone on naloxone-precipitated withdrawal syndrome in mice. European journal of pharmacology , v. 694, n. 1-3, p. 69–74, maio 2012. Carregosa, D., Loncarevic-Vasiljkovic, N., Feliciano, R., Moura-Louro, D., Mendes, C.S., dos Santos, C.N., 2024. Locomotor and gait changes in the LPS model of neuroinflammation are correlated with inflammatory cytokines in blood and brain. Journal of Inflammation 21, 39. Cavalcante-Silva, L.H.A., Carvalho, D.C.M., de Almeida Lima, É., Rodrigues-Mascarenhas, S., 2021. Ouabain inhibits p38 activation in mice neutrophils. Inflammopharmacology 29, 1829-1833. Cavalcante-Silva, L.H.A., Lima, É.d.A., Carvalho, D.C.M., de Sales-Neto, J.M., Alves, A.K.d.A., Galvão, J.G.F.M., da Silva, J.S.d.F., Rodrigues-Mascarenhas, S., 2017. Much More than a Cardiotonic Steroid: Modulation of Inflammation by Ouabain. Front Physiol 8, 895-895. Cobb, C.A., Cole, M.P., 2015. Oxidative and nitrative stress in neurodegeneration. Neurobiol Dis 84, 4-21. Cordeiro, G. A. et al. Evaluation of the neuroprotective potential of benzylidene digoxin 15 against oxidative stress in a neuroinflammation models induced by lipopolysaccharide and on neuronal differentiation of hippocampal neural precursor cells. Frontiers in Pharmacology , v. 16, 14 mar. 2025. Dantzer, R., O'Connor, J.C., Freund, G.G., Johnson, R.W., Kelley, K.W., 2008. From inflammation to sickness and depression: when the immune system subjugates the brain. Nature reviews. Neuroscience 9, 46-56. de Sá Lima, L., Kawamoto, E.M., Munhoz, C.D., Kinoshita, P.F., Orellana, A.M.M., Curi, R., Rossoni, L.V., Avellar, M.C.W., Scavone, C., 2013. Ouabain activates NFκB through an NMDA signaling pathway in cultured cerebellar cells. Neuropharmacology 73, 327-336. de Souza Gonçalves, B., de Moura Valadares, J.M., Alves, S.L.G., Silva, S.C., Rangel, L.P., Cortes, V.F., Villar, J., Barbosa, L.A., de Lima Santos, H., 2019. Evaluation of neuroprotective activity of digoxin and semisynthetic derivatives against partial chemical ischemia. J Cell Biochem 120, 17108-17122. Dvela, M., Rosen, H., Feldmann, T., Nesher, M., Lichtstein, D., 2007. Diverse biological responses to different cardiotonic steroids. Pathophysiology 14, 159-166. Eisendrath, S.J., Sweeney, M.A., 1987. Toxic neuropsychiatric effects of digoxin at therapeutic serum concentrations. The American journal of psychiatry 144, 506-507. Erdogan, M.A., Kirazlar, M., Yigitturk, G., Erbas, O., 2022. Digoxin Exhibits Neuroprotective Properties in a Rat Model of Dementia. Neurochem Res 47, 1290-1298. Ferreira, D.A., Medeiros, A.B.A., Soares, M.M., Lima, É.d.A., Oliveira, G.C.S.L.d., Leite, M.B.d.S., Machado, M.V., Villar, J.A.F.P., Barbosa, L.A., Scavone, C., Moura, M.T., Rodrigues-Mascarenhas, S., 2024. Evaluation of Anti-Inflammatory Activity of the New Cardiotonic Steroid γ-Benzylidene Digoxin 8 (BD-8) in Mice. Cells 13, 1568. Fujita-Sato, S., Ito, S., Isobe, T., Ohyama, T., Wakabayashi, K., Morishita, K., Ando, O., Isono, F., 2011. Structural basis of digoxin that antagonizes RORgamma t receptor activity and suppresses Th17 cell differentiation and interleukin (IL)-17 production. The Journal of biological chemistry 286, 31409-31417. Galvão, J.G.F.M., Cavalcante-Silva, L.H.A., de Almeida Lima, É., Carvalho, D.C.M., Alves, A.F., Mascarenhas, S.R., 2022. Ouabain modulates airway remodeling caused by Th2-high asthma in mice. International immunopharmacology 109, 108808. Garcia, I.J.P., Kinoshita, P.F., de Oliveira Braga, I., Parreira, G.M., Mignaco, J.A., Scavone, C., Barbosa, L.A., de Lima Santos, H., 2018. Ouabain attenuates the oxidative stress induced by lipopolysaccharides in the cerebellum of rats. J Cell Biochem 119, 2156-2167. Garcia, I.J.P., Kinoshita, P.F., Silva, L.N.D.e., De Souza Busch, M., Atella, G.C., Scavone, C., Cortes, V.F., Barbosa, L.A., De Lima Santos, H., 2019. Ouabain attenuates oxidative stress and modulates lipid composition in hippocampus of rats in lipopolysaccharide-induced hypocampal neuroinflammation in rats. Journal of Cellular Biochemistry 120, 4081-4091. Graafsma, J., Cimic, N., Dijkman, M., Gresnigt, F.M.J., Mitrovic, D., Smit, C., 2025. Digoxin toxicity with therapeutic serum digoxin concentrations. Toxicology Reports 15, 102079. Hashimoto, J. et al. Effects of Cardiac Glycoside Digoxin on Dendritic Spines and Motor Learning Performance in Mice. Neuroscience , v. 541, p. 77–90, 24 jan. 2024. Huh, J.R., Leung, M.W., Huang, P., Ryan, D.A., Krout, M.R., Malapaka, R.R., Chow, J., Manel, N., Ciofani, M., Kim, S.V., Cuesta, A., Santori, F.R., Lafaille, J.J., Xu, H.E., Gin, D.Y., Rastinejad, F., Littman, D.R., 2011. Digoxin and its derivatives suppress TH17 cell differentiation by antagonizing RORγt activity. Nature 472, 486-490. Jaafar, F.R., 2017. Study on Neurotoxic effects of Digoxin different doses in mice. Kufa Journal for Veterinary Medical Sciences 8, 187-195. Kawamoto, E.M., Scavone, C., Mattson, M.P., Camandola, S., 2013. Curcumin Requires Tumor Necrosis Factor α Signaling to Alleviate Cognitive Impairment Elicited by Lipopolysaccharide. Neurosignals 21, 75-88. Khan, M.S., Muhammad, T., Ikram, M., Kim, M.O., 2019. Dietary Supplementation of the Antioxidant Curcumin Halts Systemic LPS-Induced Neuroinflammation-Associated Neurodegeneration and Memory/Synaptic Impairment via the JNK/NF-κB/Akt Signaling Pathway in Adult Rats. Oxid Med Cell Longev 2019, 7860650. Kinoshita, P.F., Orellana, A.M.M., Nakao, V.W., de Souza Port's, N.M., Quintas, L.E.M., Kawamoto, E.M., Scavone, C., 2022. The Janus face of ouabain in Na+/K+-ATPase and calcium signalling in neurons. British Journal of Pharmacology 179, 1512-1524. Kinoshita, P.F., Yshii, L.M., Vasconcelos, A.R., Orellana, A.M.M., Lima, L.d.S., Davel, A.P.C., Rossoni, L.V., Kawamoto, E.M., Scavone, C., 2014. Signaling function of Na,K-ATPase induced by ouabain against LPS as an inflammation model in hippocampus. Journal of neuroinflammation 11, 1-12. Kumar, J., Patel, T., Sugandh, F., Dev, J., Kumar, U., Adeeb, M., Kachhadia, M.P., Puri, P., Prachi, F., Zaman, M.U., Kumar, S., Varrassi, G., Syed, A.R.S., 2023. Innovative Approaches and Therapies to Enhance Neuroplasticity and Promote Recovery in Patients With Neurological Disorders: A Narrative Review. Cureus 15, e41914. Lee, J., Baek, S., Lee, J., Lee, J., Lee, D.G., Park, M.K., Cho, M.L., Park, S.H., Kwok, S.K., 2015. Digoxin ameliorates autoimmune arthritis via suppression of Th17 differentiation. Int Immunopharmacol 26, 103-111. Leite, J.A., Alves, A.K., Galvão, J.G., Teixeira, M.P., Cavalcante-Silva, L.H., Scavone, C., Morrot, A., Rumjanek, V.M., Rodrigues-Mascarenhas, S., 2015. Ouabain Modulates Zymosan-Induced Peritonitis in Mice. Mediators Inflamm 2015, 265798. Leite, J.A., Cavalcante-Silva, L.H.A., Ribeiro, M.R., de Morais Lima, G., Scavone, C., Rodrigues-Mascarenhas, S., 2022a. Neuroinflammation and Neutrophils: Modulation by Ouabain. Frontiers in pharmacology 13, 824907. Leite, J.A., Isaksen, T.J., Heuck, A., Scavone, C., Lykke-Hartmann, K., 2020. The α2 Na+/K+-ATPase isoform mediates LPS-induced neuroinflammation. Scientific reports 10, 14180. Leite, J.A., Pôças, E., Maia, G.S., Barbosa, L., Quintas, L.E.M., Kawamoto, E.M., da Silva, M.L.C., Scavone, C., de Carvalho, L.E.D., 2022b. Effect of ouabain on calcium signaling in rodent brain: A systematic review of in vitro studies. Frontiers in pharmacology 13, 916312. Manna, S.K., Sreenivasan, Y., Sarkar, A., 2006. Cardiac glycoside inhibits IL-8-induced biological responses by downregulating IL-8 receptors through altering membrane fluidity. J Cell Physiol 207, 195-207. Noh, H., Jeon, J., Seo, H., 2014. Systemic injection of LPS induces region-specific neuroinflammation and mitochondrial dysfunction in normal mouse brain. Neurochem Int 69, 35-40. Orellana, A.M., Kinoshita, P.F., Leite, J.A., Kawamoto, E.M., Scavone, C., 2016. Cardiotonic Steroids as Modulators of Neuroinflammation. Frontiers in endocrinology 7, 10-10. Orellana, A.M., Leite, J.A., Kinoshita, P.F., Vasconcelos, A.R., Andreotti, D.Z., de Sá Lima, L., Xavier, G.F., Kawamoto, E.M., Scavone, C., 2018. Ouabain increases neuronal branching in hippocampus and improves spatial memory. Neuropharmacology 140, 260-274. Orellana, A.M.M., Vasconcelos, A.R., Leite, J.A., de Sá Lima, L., Andreotti, D.Z., Munhoz, C.D., Kawamoto, E.M., Scavone, C., 2015. Age-related neuroinflammation and changes in AKT-GSK-3β and WNT/ β-CATENIN signaling in rat hippocampus. Aging (Albany NY ) 7, 1094-1111. Pamies, D., Vujić, T., Schvartz, D., Boccard, J., Repond, C., Nunes, C., Rudaz, S., Sanchez, J.C., González-Ruiz, V., Zurich, M.G., 2023. Digoxin Induces Human Astrocyte Reaction In Vitro. Mol Neurobiol 60, 84-97. Patel, M., 2016. Targeting Oxidative Stress in Central Nervous System Disorders. Trends Pharmacol Sci 37, 768-778. Pessôa, M.T.C., Alves, S.L.G., Taranto, A.G., Villar, J., Blanco, G., Barbosa, L.A., 2018. Selectivity analyses of γ-benzylidene digoxin derivatives to different Na,K-ATPase α isoforms: a molecular docking approach. J Enzyme Inhib Med Chem 33, 85-97. Pizza, V., Agresta, A., D'Acunto, C.W., Festa, M., Capasso, A., 2011. Neuroinflammation and ageing: current theories and an overview of the data. Reviews on recent clinical trials 6, 189-203. Rodrigues-Mascarenhas, S., De Oliveira, A.D.S., Amoedo, N.D., Affonso-Mitidieri, O.R., Rumjanek, F.D., Rumjanek, V.M., 2009. Modulation of the Immune System by Ouabain. Annals of the New York Academy of Sciences 1153, 153-163. Silva, L.N.D.E., Pessoa, M.T., Alves, S.L.G., Venugopal, J., Cortes, V.F., Santos, H.L., Villar, J.A.F.P., Barbosa, L.A., 2017. Differences of lipid membrane modulation and oxidative stress by digoxin and 21‐benzylidene digoxin. Experimental Cell Research 359, 291–298. Srikanthan, P., Horwich, T.B., Tseng, C.H., 2016. Relation of Muscle Mass and Fat Mass to Cardiovascular Disease Mortality. Am J Cardiol 117, 1355-1360. Sun, Y., Koyama, Y., Shimada, S., 2022. Inflammation From Peripheral Organs to the Brain: How Does Systemic Inflammation Cause Neuroinflammation? Front Aging Neurosci 14, 903455. Vieira, L., Saldanha, A.A., Moraes, A.M., Oliveira, F.M., Lopes, D.O., Barbosa, L.A.O., Ribeiro, R., Thomé, R.G., Santos, H.B.D., Villar, J., Soares, A.C., 2018. 21‑Benzylidene digoxin, a novel digoxin hemi-synthetic derivative, presents an anti-inflammatory activity through inhibition of edema, tumour necrosis factor alpha production, inducible nitric oxide synthase expression and leucocyte migration. Int Immunopharmacol 65, 174-181. Xie, J., Van Hoecke, L., Vandenbroucke, R.E., 2021. The Impact of Systemic Inflammation on Alzheimer's Disease Pathology. Frontiers in immunology 12, 796867. Xie, Z., Cai, T., 2003. Na+-K+-ATPase-Mediated Signal Transduction: From Protein Interaction to Cellular Function. Molecular Interventions 3, 157-168. Yang, Q., Huang, W., Jozwik, C., Lin, Y., Glasman, M., Caohuy, H., Srivastava, M., Esposito, D., Gillette, W., Hartley, J., Pollard, H.B., 2005. Cardiac glycosides inhibit TNF-α/NF-κB signaling by blocking recruitment of TNF receptor-associated death domain to the TNF receptor. Proceedings of the National Academy of Sciences 102, 9631-9636. Zheng, Z.H., Tu, J.L., Li, X.H., Hua, Q., Liu, W.Z., Liu, Y., Pan, B.X., Hu, P., Zhang, W.H., 2021. Neuroinflammation induces anxiety- and depressive-like behavior by modulating neuronal plasticity in the basolateral amygdala. Brain Behav Immun 91, 505-518. Ziff, O.J., Kotecha, D., 2016. Digoxin: The good and the bad. Trends Cardiovasc Med 26, 585-595. Table Table 1: Blood parameters analyzed in the plasma of Wistar Rats Additional Declarations No competing interests reported. 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20:08:35","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9284032/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9284032/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":106998795,"identity":"d68603e6-ee5b-49db-964b-6b3e78542fd0","added_by":"auto","created_at":"2026-04-15 15:38:25","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":161008,"visible":true,"origin":"","legend":"\u003cp\u003eAssessment of cytotoxicity of BD-8 and digoxin in SH-SY5Y and BV-2 cells. \u003cstrong\u003eA.\u003c/strong\u003e SH-SY5Y cells were treated with digoxin for 120h, and viability was determined using MTT assay. The CC\u003csub\u003e50\u003c/sub\u003e and CC\u003csub\u003e20\u003c/sub\u003e were 33 nM and 18 nM, respectively. \u003cstrong\u003eB. \u003c/strong\u003etreatment of SH-SY5Y cells with BD-8 for 120h exhibited CC\u003csub\u003e50\u003c/sub\u003e and CC\u003csub\u003e20\u003c/sub\u003e 7.4 μM and 5.3 μM, respectively. \u003cstrong\u003eC. \u003c/strong\u003eBV-2 cells were treated with BD-8 for 120h, and viability was assessed using MTT assay. The CC\u003csub\u003e50\u003c/sub\u003e and CC\u003csub\u003e20\u003c/sub\u003e were at 8.5 μM and 7.0 μM, respectively. Data are presented as mean ± standard error of the mean (± SEM) and were analyzed by one-way ANOVA followed by Tukey’s post hoc test. **** \u003cem\u003ep \u003c/em\u003e\u0026lt; 0.0001.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-9284032/v1/3c52d1b78c9d463be9af49db.png"},{"id":106997651,"identity":"ea382ee6-64d7-4632-b6c7-3443bf038ae2","added_by":"auto","created_at":"2026-04-15 15:35:12","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":122796,"visible":true,"origin":"","legend":"\u003cp\u003eBehavioral parameters of the open field test in rats treated with BD-8. A) Total squares changes B) Central squares changes C) Total Rearings. The results were subjected to the Shapiro-Wilk test. followed by the test of analysis of variance (ANOVA), a significance level of p\u0026lt;0.05 was adopted for *, p\u0026lt;0,01 was adopted for **, p\u0026lt;0,001 was adopted for *** n=12.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-9284032/v1/c5397a5ff27dda9278d4d8e9.png"},{"id":106997747,"identity":"a00e02f8-9d5d-4e9d-a7b0-072725c3c8f5","added_by":"auto","created_at":"2026-04-15 15:35:28","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":116556,"visible":true,"origin":"","legend":"\u003cp\u003eBD8 treatment reduces LPS-induced locomotor impairment. \u003cstrong\u003eA. \u003c/strong\u003eOpen field test (number of crossings) and\u003cstrong\u003e B (\u003c/strong\u003etime spent in the center of the open field apparatus). Data are presented as mean ± standard error of the mean (± SEM) and were analyzed by one-way ANOVA followed by Tukey’s post hoc test. P \u0026lt; 0.05. n = 6-7 animals per group.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-9284032/v1/f5f7a4cce4abfaf353c74f49.png"},{"id":106997794,"identity":"98fcdd80-256d-4064-b580-c08f8f29afcc","added_by":"auto","created_at":"2026-04-15 15:35:44","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":106531,"visible":true,"origin":"","legend":"\u003cp\u003eBD8 reduces LPS-induced oxidative stress. A–B. Levels of thiobarbituric acid-reactive substances (TBARS) in the total cortex and hippocampus. \u003cstrong\u003eA.\u003c/strong\u003e MDA (nmol MDA/mg protein) in the total cortex and \u003cstrong\u003eB.\u003c/strong\u003eMDA (nmol MDA/mg protein) in the hippocampus. Data are presented as mean ± standard error of the mean (± SEM) and were analyzed by one-way ANOVA followed by Tukey’s post hoc test. P \u0026lt; 0.05. n = 6-8 animals per group.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-9284032/v1/5e5969cd385de53e4ad15551.png"},{"id":106997728,"identity":"f8d00a19-47f4-437b-9493-66e6eef4f5c2","added_by":"auto","created_at":"2026-04-15 15:35:25","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":180129,"visible":true,"origin":"","legend":"\u003cp\u003eBD8 modulates antioxidant enzymes in the total cortex and hippocampus of mice after LPS challenge. \u003cstrong\u003eA–C.\u003c/strong\u003e Total cortex; \u003cstrong\u003eD–F.\u003c/strong\u003e Hippocampus. \u003cstrong\u003eA and D.\u003c/strong\u003e Superoxide dismutase (SOD) activity. \u003cstrong\u003eB and E.\u003c/strong\u003e Catalase (CAT) activity. \u003cstrong\u003eC and F.\u003c/strong\u003e Glutathione peroxidase (GPx) activity. Data are presented as mean ± standard error of the mean (± SEM) and were analyzed by one-way ANOVA followed by Tukey’s post hoc test. \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05. n = 6-8 animals per group.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-9284032/v1/c1e21b428d18d7312a465f17.png"},{"id":106998945,"identity":"8fb9e523-79fd-4b07-9010-97a9cca7bf73","added_by":"auto","created_at":"2026-04-15 15:38:52","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":418940,"visible":true,"origin":"","legend":"\u003cp\u003eMechanistic overview of BD8-mediated protection against LPS-induced neurobehavioral deficits. The schematic illustrates that BD8 administration effectively counteracts the depression- and anxiety-like behaviors triggered by systemic LPS challenge. This neuroprotective action is intrinsically linked to a consistent reduction in oxidative stress markers within the brain. As a structural derivative of digoxin, BD8 demonstrates a superior safety profile while maintaining potent antioxidante properties, thereby preserving neuronal integrity and behavioral homeostasis.\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-9284032/v1/18ecdebff7376088875ff631.png"},{"id":108005818,"identity":"19ae00ce-f572-4a51-928d-d47b2b4c3a27","added_by":"auto","created_at":"2026-04-28 12:48:58","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1356684,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9284032/v1/09a8642c-5a61-4659-b7d2-4d94ecd93acc.pdf"},{"id":106997743,"identity":"c6100c17-5f17-48cf-8ea1-5377a8f52ead","added_by":"auto","created_at":"2026-04-15 15:35:27","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":216067,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementarydataNeuroprotectiveandantioxidanteffectsofBD8.docx","url":"https://assets-eu.researchsquare.com/files/rs-9284032/v1/f48bb8651e0d5f88d3aa8da9.docx"},{"id":106997746,"identity":"3bd9d4d7-0194-4f7c-98eb-74f737f466ad","added_by":"auto","created_at":"2026-04-15 15:35:28","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":36820,"visible":true,"origin":"","legend":"","description":"","filename":"Supportinginformation.docx","url":"https://assets-eu.researchsquare.com/files/rs-9284032/v1/ed0f08f418b168c27a226552.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Neuroprotective and antioxidant effects of digoxin derivative (BD-8) in an LPS-induced neuroinflammation model","fulltext":[{"header":"Highlights","content":"\u003cp\u003e- BD-8 exerted an increased effect on total exploration in the open field test\u003c/p\u003e\u003cp\u003e- BD-8 prevents LPS-induced impairment of locomotor behavior\u003c/p\u003e\u003cp\u003e- BD-8 modulates antioxidant enzyme activities in the brain\u003c/p\u003e"},{"header":"1. Introduction","content":"\u003cp\u003ePeripheral inflammation, whether due to viral infections, autoimmune diseases, or acute conditions such as sepsis, can trigger neuroinflammation (Sun et al., 2022). This inflammatory response in the brain can become chronic, characterized by the activation and persistence of microglia and astrocytes, and recent evidence indicates that inflammation is not only a consequence but a significant etiological factor in the progression of neurodegenerative diseases (Xie et al., 2021). Therefore, modulating peripheral inflammation emerges as a promising additional therapeutic strategy in the prevention and treatment of neurodegenerative disorders. To test anti-inflammatory drugs, neuroscience research frequently uses animal models induced by Lipopolysaccharide (LPS), a bacterial endotoxin, in the central nervous system (CNS). LPS triggers neurotoxicity, increases reactive oxygen species (ROS), disrupts synaptic function, and contributes to neurodegenerative processes (Khan et al., 2019), as well as neuropsychiatric symptoms, such as sickness behavior, are considered analogous to characteristics observed in major depression (Dantzer et al., 2008).\u003c/p\u003e \u003cp\u003eEndogenous cardiotonic steroids, such as Ouabain and digoxin, are classic ligands (Fujita-Sato et al., 2011) of Na⁺/K⁺-ATPase and exhibit anti-inflammatory effects (Dvela et al., 2007; Leite et al., 2015). These compounds modulate processes such as cell migration, vascular permeability, oxidative stress, and the production of pro-inflammatory cytokines (Cavalcante-Silva et al., 2017; Leite et al., 2022a; Manna et al., 2006; Rodrigues-Mascarenhas et al., 2009; Yang et al., 2005). Our group has demonstrated that Ouabain reduces pro-inflammatory cytokines and inhibits the MAPK p38 and nuclear translocation of nuclear factor kappa B (NF-κB) signaling pathways (Cavalcante-Silva et al., 2021), in addition to attenuating characteristics of the allergic asthmatic response (Galv\u0026atilde;o et al., 2022). Digoxin, in turn, appears to inhibit the differentiation of Th0 cells into Th17 cells (Fujita-Sato et al., 2011; Huh et al., 2011; Lee et al., 2015). The neuroprotective activity of Ouabain has also been described (Kinoshita et al., 2022). \u003cem\u003eIn vivo\u003c/em\u003e studies show that it exerts a protective effect against LPS-induced neuroinflammation in the hippocampus of rats, reducing the activation and NF-κB, thereby decreasing the expression of iNOS and IL-1β (Kinoshita et al., 2014). In addition, Ouabain reduced oxidative stress in the cerebellum of LPS-challenged rats (Garcia et al., 2018). Additionally, digoxin significantly rescued rats from memory loss caused by intracerebroventricular injection of streptozotocin, decreasing hippocampal cell death, neuroinflammation, and cholinergic deficiency (Erdogan et al., 2022).\u003c/p\u003e \u003cp\u003eOur group developed new digoxin derivatives that explore α-NKA specificity for their therapeutic potential (Alves et al., 2015). The compound 21BD exhibits distinct chemical properties but maintains significant anti-inflammatory effects (Vieira et al., 2018). Another derivative, BD-15, demonstrated neuroprotective actions, including inhibition of H₂O₂ production, lipid peroxidation, and other markers of oxidative stress, reinforcing the potential of digoxin derivatives as therapeutic agents (Cordeiro et al., 2025; de Souza Gon\u0026ccedil;alves et al., 2019). More recently, our team developed the derivative BD-8, which selectively stimulated the α2 isoform of Na⁺/K⁺-ATPase in a heterologous Sf9 system (Pess\u0026ocirc;a et al., 2018). Our data demonstrated that BD-8 decreases the expression of iNOS and the phosphorylation of NF-κB p65, ERK, and p38 in primary macrophage culture (Ferreira et al., 2024). Furthermore, BD-8 showed anti-inflammatory activity \u003cem\u003ein vivo\u003c/em\u003e in a carrageenan-induced paw edema model in mice (Ferreira et al., 2024). However, there is no data about the neuroprotective effects of BD-8 in the CNS. Therefore, this study aimed to analyze the neuroprotective activity of BD-8 in vitro and in vivo in the context of oxidative damage and LPS-induced sickness behaviour.\u003c/p\u003e"},{"header":"2. Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. In vitro experiments\u003c/h2\u003e \u003cdiv id=\"Sec4\" class=\"Section3\"\u003e \u003ch2\u003e2.1.1. Chemistry\u003c/h2\u003e \u003cp\u003eThe digoxin derivative (BD-8) was synthesized via a vinylogous aldol reaction followed by rearrangement, resulting from the chemical modification of the digoxin molecule with an appropriate benzaldehyde (Ferreira et al., 2024; Pess\u0026ocirc;a et al., 2018). The structure shown here corresponds to a revised version of the structure previously reported (see supporting information). The results of this new structural revision will be communicated in detail in a forthcoming study. This synthesis was carried out by the Laboratory of Organic Synthesis and Nanostructure of the Federal University of S\u0026atilde;o Jo\u0026atilde;o del-Rei.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section3\"\u003e \u003ch2\u003e2.1.2. Cell lines\u003c/h2\u003e \u003cp\u003eSH-SY5Y cells were acquired from the American Type Culture Collection located in Manassas, Virginia. They were cultivated in a mixture of DMEM and Ham's F-12 media provided (Gibco, Carlsbad, CA), enhanced with 10% fetal bovine serum (Bionutrientes), penicillin/streptomycin (Gibco) with concentration 100 U/mL, and 1 mM sodium pyruvate (Sigma), all while incubating at 37\u0026deg;C with 5% CO2. The BV-2 cell line, which is derived from C57BL/6 mouse brain microglia and has the BCRJ reference number 0356, was maintained in RPMI-1640 medium that included L-Glutamine, sodium bicarbonate, and 10% FBS, with a temperature set at 37\u0026deg;C and 5% CO\u003csub\u003e2\u003c/sub\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section3\"\u003e \u003ch2\u003e2.1.3. Cell viability assay\u003c/h2\u003e \u003cp\u003eThe cytotoxicity of BD-8 (Sigma-Aldrich, O3125) was evaluated using an MTT (3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide) method (Sigma). In summary, SH-SY5Y and BV-2 cells were placed into 96-well plates (4\u0026times;10⁴ cells per well for SH-SY5Y and 1\u0026times;10⁴ cells per well for BV-2) to achieve an 80\u0026ndash;90% confluence within 24 hours, followed by treatment with various concentrations of BD-8. After 120 hours, MTT (1 mg/mL) was introduced into each well, and the plates were incubated for 4 hours at a temperature of 37\u0026deg;C with 5% CO2. Formazan crystals were dissolved, and the optical density was measured using spectrophotometry at a wavelength of 570 nm.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.2. In vivo experiments\u003c/h2\u003e \u003cdiv id=\"Sec8\" class=\"Section3\"\u003e \u003ch2\u003e2.2.1 Animals\u003c/h2\u003e \u003cp\u003eThe experiments related to toxicology were conducted using male Wistar rats that were two months old, sourced from the UFSJ Central Animal Facility and housed in the CCO Sectorial Animal Facility. The environment maintained a controlled temperature of 22 degrees Celsius, with a variation of plus or minus two degrees, alongside a light/dark cycle lasting 12 hours, allowing the animals free access to food and water. This study received approval from the Animal Experimentation Ethics Committee (CEEA) under the protocol number 1057071022.\u003c/p\u003e \u003cp\u003eFor the evaluation of neuroprotection involving BD-8, male Swiss mice aged two months were sourced from the Central Animal Facility at the Federal University of Goi\u0026aacute;s (UFG). The mice were housed in an environment with a regulated temperature of 22\u0026deg;C\u0026thinsp;\u0026plusmn;\u0026thinsp;2\u0026deg;C, maintained under a 12-hour cycle of light and darkness, and had unrestricted access to both food and water. Every protocol utilized in this research received approval from the UFG Ethics Committee for Animal Use (CEUA/UFG n\u0026ordm; 014/2).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section3\"\u003e \u003ch2\u003e2.2.2 Toxicological tests\u003c/h2\u003e \u003cp\u003eThe rats were categorized into five distinct groups: Control (DMSO; 0.1%), BD-8 (0.02 mg/kg), BD-8 (0.1 mg/kg), BD-8 (0.2 mg/kg), and BD-8 (0.4 mg/kg). The subjects received intraperitoneal (i.p.) administration for three consecutive days. On the final day of treatment, the open field assessment was conducted. Seventy-two hours following the treatment, the rats were humanely killed using a combination of Ketamine (180 mg/kg) and Xylazine (30 mg/kg).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section3\"\u003e \u003ch2\u003e2.2.3 Neuroprotective activity\u003c/h2\u003e \u003cp\u003eIn this research, the subjects were randomly divided into five categories (n\u0026thinsp;=\u0026thinsp;8): Control (DMSO; 0.1%), LPS (1 mg/kg) (Escherichia coli serotype O111:B4), BD8 (0.28 mg/kg), BD8 (0.56 mg/kg), and BD8 (1.12 mg/kg). After one hour, the subjects were exposed to LPS (1 mg/kg, injected into the peritoneum), except for the control group, which was given a saline solution (0.9%). Four hours following the exposure, the open field assessment was conducted to observe sickness-related behaviors. A day after the LPS treatment, the subjects were euthanized, and samples from the total cortex and hippocampus were gathered for biochemical examinations.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section3\"\u003e \u003ch2\u003e2.2.4 Open field\u003c/h2\u003e \u003cp\u003eThe open-field assessment was conducted to assess the toxicological impact on rats and to study the movement and exploration behavior in mice. For the toxicological assessment, the animals were housed in an acrylic enclosure (70cm \u0026times; 70 cm \u0026times; 40 cm) for a duration of 5 minutes. The parameters observed included: the frequency of shifts between squares, the frequency of transitions to the central square, and the instances of the animals lifting their front paws, which were utilized to gauge their movement and exploration activities (\u0026Ouml;ZGE SELIN \u0026Ccedil;EVIK et al., 2025). To evaluate behavioral alterations after LPS injection, mice were placed individually in a round arena (300 \u0026times; 300 mm) and monitored for 5 minutes. The overall number of crossings into different quadrants and the duration spent in the central area were noted.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section3\"\u003e \u003ch2\u003e2.2.5 Biochemical parameters\u003c/h2\u003e \u003cdiv id=\"Sec13\" class=\"Section4\"\u003e \u003ch2\u003e2.2.5.1 Plasma analysis\u003c/h2\u003e \u003cp\u003eBlood samples were obtained from anesthetized rats via intracardiac puncture. The samples were then centrifuged at 1,000 g for 15 minutes at a temperature of 4\u0026deg;C. The resulting plasma was frozen at -80\u0026deg;C for future biochemical assessments. A commercial kit was used to analyze total proteins, glucose levels, total cholesterol, total triglycerides, total lactate, total bilirubin, AST, ALT, CK-MB, and lactate dehydrogenase (LDH), following the guidelines provided by the manufacturer (Labtest, Bioclin, Analisa).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section4\"\u003e \u003ch2\u003e2.2.5.2 Preparation of brain samples and protein content determination\u003c/h2\u003e \u003cp\u003eAfter the last behavioral assessment, the subjects were sedated via intraperitoneal injection of ketamine combined with xylazine hydrochloride. Following this, they were put down through decapitation, and both the hippocampus and entire cortex were meticulously removed and separated. The tissue samples were blended in a solution of 50 mM potassium phosphate buffer at a pH of 7.4 in a ratio of 1:6 (weight/volume). The homogenate obtained was centrifuged at 8,000 \u0026times; g for 10 minutes to separate the low-speed supernatant. The overall protein concentration in the samples was analyzed utilizing the Bradford assay (Bradford, 1976), employing bovine serum albumin (BSA) as a reference standard.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section4\"\u003e \u003ch2\u003e2.2.5.4 Determination of thiobarbituric acid reactive substances (TBARS)\u003c/h2\u003e \u003cp\u003eThiobarbituric acid-reactive substances (TBARS) were assessed using the technique outlined by Ohkawa, Ohishi, and Yagi in 1979, with slight adjustments. For this analysis, a solution containing 10% trichloroacetic acid (TCA), 0.8% thiobarbituric acid (TBA), and 3% sodium dodecyl sulfate (SDS) was incorporated into the HT fraction. This mixture was subjected to heating at 95 degrees Celsius for one hour. The resultant product from the reaction was measured using a spectrophotometer at a wavelength of 532 nanometers. The findings were reported as malondialdehyde (MDA) equivalents, which were derived from a standard curve of MDA and presented in terms of nmol per mg of protein.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section4\"\u003e \u003ch2\u003e2.2.5.5 Superoxide dismutase (SOD) activity\u003c/h2\u003e \u003cp\u003eThe activity of superoxide dismutase (SOD) was determined spectrophotometrically using a slightly modified method derived from the approach of Misra and Fridovich (1972). This method is based on SOD's ability to inhibit the autoxidation of adrenaline. Specifically, the S1 fraction was incubated with 60 mM adrenaline tartrate and glycine buffer (50 mM, pH 10). The absorbance was measured at 480 nm. Enzyme activity was expressed as SOD units (U) per milligram of protein.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section4\"\u003e \u003ch2\u003e2.2.5.6 Catalase (CAT) activity\u003c/h2\u003e \u003cp\u003eCatalase (CAT) activity was determined spectrophotometrically by measuring the decomposition of H₂O₂, following a slightly modified method based on Aebi's (1984) approach. Specifically, the S1 fraction was incubated with 86 mM H₂O₂ and 50 mM sodium phosphate buffer (pH 7.0). The reaction progress was monitored using a spectrophotometer at 240 nm. Enzyme activity was expressed as CAT units (U) per milligram of protein.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section4\"\u003e \u003ch2\u003e2.2.5.7 Glutathione peroxidase (GPx) activity\u003c/h2\u003e \u003cp\u003eThe activity of glutathione peroxidase (GPx) was determined using a slightly modified method described by Wendel (1981). Specifically, the S1 fraction was placed in a microplate containing 100 mM potassium phosphate buffer and 90 mM sodium azide and incubated at room temperature in the dark for 30 minutes. After incubation, 100 mM reduced glutathione (GSH), 20 mM NADPH, and 2 U/mL glutathione reductase (GR) were added. The reaction was initiated with 100 mM H₂O₂, and the decrease in absorbance due to NADPH oxidation was measured at 340 nm. GPx activity was expressed as U/mg protein.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003e2.6. Statistical Analysis\u003c/h2\u003e \u003cp\u003eCytotoxicity was analyzed using one-way ANOVA and Tukey's post-hoc test. The results of the BD-8 open field assay were evaluated using the Shapiro-Wilk test and ANOVA. The effects of BD-8 on LPS-induced behavioral and biochemical responses were analyzed using one-way ANOVA and Tukey's multiple comparisons test. p\u0026thinsp;\u0026lt;\u0026thinsp;0.05. Six to eight animals were included in each group. Figures and graphs are presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard error. p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 was considered statistically significant. Data analysis was performed using Prism 9 (GraphPad Software, San Diego, California, USA).\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec21\" class=\"Section2\"\u003e \u003ch2\u003e3.1. Cell cytotoxicity\u003c/h2\u003e \u003cp\u003eTo evaluate the cytotoxic effects of BD-8 and digoxin, we determined the CC₅₀ and CC₂₀ values in BV-2 and SH-SY5Y cells across a range of drug concentrations during 120h. As shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA, digoxin treatment in SH-SY5Y cells resulted in CC₅₀ and CC₂₀ values of 33 nM and 18 nM, respectively. In contrast, BD-8 treatment in SH-SY5Y cells (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB) yielded markedly higher CC₅₀ and CC₂₀ values (7.4 \u0026micro;M and 5.3 \u0026micro;M, respectively), For SH-SY5Y cells treated with BD-8 (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB), the CC₅₀ and CC₂₀ values were 7.4 \u0026micro;M and 5.3 \u0026micro;M, respectively. In BV-2 cells (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eC), BD-8 exhibited CC₅₀ and CC₂₀ values of 8.5 \u0026micro;M and 7.0 \u0026micro;M, respectively.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec22\" class=\"Section2\"\u003e \u003ch2\u003e3.2 BD8 exerted an increased effect on total exploration in the open field test\u003c/h2\u003e \u003cp\u003eDuring a 3-day treatment with applications every 24 hours, our results demonstrated a significant increase in the animals' overall exploratory activity. All tested doses\u0026mdash;20 \u0026micro;g/kg (85.50\u0026thinsp;\u0026plusmn;\u0026thinsp;8.54), 100 \u0026micro;g/kg (96.77\u0026thinsp;\u0026plusmn;\u0026thinsp;6.21), 200 \u0026micro;g/kg (83.38\u0026thinsp;\u0026plusmn;\u0026thinsp;6.90), and 400 \u0026micro;g/kg (99.75\u0026thinsp;\u0026plusmn;\u0026thinsp;7.59)\u0026mdash;led to a higher number of total squares crossed compared to the control group (53.92\u0026thinsp;\u0026plusmn;\u0026thinsp;8.05 squares), indicating a clear interest in exploring the new environment of the apparatus (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA). This exploratory behavior was reinforced by the analysis of the central squares, where the 20 \u0026micro;g/kg to showed a significantly greater presence in the center of the arena (10.36\u0026thinsp;\u0026plusmn;\u0026thinsp;2.08) than the control group (2.41\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7) (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eB). This finding not only corroborates the increase in exploration but also suggests a reduction in the anxiety-like state, as the animals ventured more into the exposed area of the field. Additionally, the rearing behavior, also showed a statistically significant increase at the 100 \u0026micro;g/kg (23.23\u0026thinsp;\u0026plusmn;\u0026thinsp;2.60), 200 \u0026micro;g/kg (22.38\u0026thinsp;\u0026plusmn;\u0026thinsp;1.62), and 400 \u0026micro;g/kg (23.85\u0026thinsp;\u0026plusmn;\u0026thinsp;2.51) doses when compared to the control group (14.0\u0026thinsp;\u0026plusmn;\u0026thinsp;1.91) (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eC). Taken together, the increase in horizontal locomotion, the greater presence in the center of the arena, and the higher frequency of rearings indicate that the treatment promoted robust exploratory behavior and an suggestive anxiolytic effect, consistent with decreased avoidance of the center.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec23\" class=\"Section2\"\u003e \u003ch2\u003e3.3 BD8 presents a systemic biological safety effect in the blood markers\u003c/h2\u003e \u003cp\u003eTo evaluated the systemic safety of BD8, we analyzed key biochemical parameters in blood samples to identify potential deleterious effects. Our results, presented in Table\u0026nbsp;1, show that BD8 did not cause significant alterations in any of the tested markers for cardiac, liver and renal function. This finding is particularly noteworthy when contrasted with cardenolides, such as Oleandrin, which is known to induce cardiotoxicity. Previous, studies such as Botelho et al. (2020) have reported that Oleandrin is associated with elevated levels of Lactate Dehydrogenase (LDH), a well-established marker of cellular damage and cardiac stress. In contrast, the absence of such changes following BD8 administration reinforces its favorable systemic safety profile, distinguishing it from other compounds with similar mechanisms of action but known toxic effects.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003ch2\u003e3.4 BD8 prevents LPS-induced impairment of locomotor behavior\u003c/h2\u003e \u003cp\u003eFollowing our previous studies using LPS as a model of neuroinflammation (Leite et al., 2020), we evaluated the effect of acute BD8 pretreatment on locomotor activity in the open-field test. After a total treatment period of 4 hours, our results showed that the LPS group (110.7\u0026thinsp;\u0026plusmn;\u0026thinsp;5.094; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001; quadrant crossings) exhibited a significant 74.77% reduction in locomotor activity compared to the control group (27.93\u0026thinsp;\u0026plusmn;\u0026thinsp;12.35), according to total crossing parameters (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eA). In contrast, the BD8-treated groups at doses of 0.56 mg/kg (62.07\u0026thinsp;\u0026plusmn;\u0026thinsp;3.269; P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and 1.12 mg/kg (66.31\u0026thinsp;\u0026plusmn;\u0026thinsp;5.282; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001) showed a higher number of crossings compared to the LPS group (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eA). Moreover, the LPS group displayed an 83% reduction in the number of entries into the central quadrants relative to the control (CTR: 65.62\u0026thinsp;\u0026plusmn;\u0026thinsp;7.422; LPS: 10.91\u0026thinsp;\u0026plusmn;\u0026thinsp;2.535; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001), indicating probable motor dysfunction and sickness-like behavior (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eB). This effect was prevented by BD8 pretreatment at doses of 0.28 mg/kg (36.38\u0026thinsp;\u0026plusmn;\u0026thinsp;6.078; P\u0026thinsp;\u0026lt;\u0026thinsp;0.05), 0.56 mg/kg (35.98\u0026thinsp;\u0026plusmn;\u0026thinsp;4.601; P\u0026thinsp;\u0026lt;\u0026thinsp;0.05), and 1.12 mg/kg (50.10\u0026thinsp;\u0026plusmn;\u0026thinsp;6.474; P\u0026thinsp;\u0026lt;\u0026thinsp;0.01), as evidenced by an increase in time spent in the center of the open field apparatus by 233%, 229%, and 359%, respectively, compared to the LPS group (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eB).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec25\" class=\"Section2\"\u003e \u003ch2\u003e3.5 BD8 reduces lipid peroxidation (LPO) levels\u003c/h2\u003e \u003cp\u003eWe analyzed oxidative stress markers in the total cortex and hippocampus of mice challenged with LPS by measuring lipid peroxidation (LPO) through thiobarbituric acid-reactive substances (TBARS) levels (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Our data showed that LPS challenge increased LPO levels in the total cortex (19.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4437) (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA) and hippocampus (20.15\u0026thinsp;\u0026plusmn;\u0026thinsp;1.553) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eB) 24 hours after LPS administration, compared to the control group, by 63.1% and 76.3%, respectively. LPO levels in the total cortex were markedly reduced in BD8-treated groups at doses of 0.28 mg/kg (15.51\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8751; P\u0026thinsp;\u0026lt;\u0026thinsp;0.01), 0.56 mg/kg (14.38\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5568; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and 1.12 mg/kg (13.94\u0026thinsp;\u0026plusmn;\u0026thinsp;0.8372; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001) compared to the LPS group (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA). In the hippocampus, however, only the 1.12 mg/kg dose (14.04\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5223; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001) significantly reduced LPO levels 24 hours after LPS challenge (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eB).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec26\" class=\"Section2\"\u003e \u003ch2\u003e3.6 BD8 modulates antioxidant enzyme activities\u003c/h2\u003e \u003cp\u003eConcomitantly, the effects of BD8 on the antioxidant defense system were evaluated in the total cortex and hippocampus of rodents after LPS challenge (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). In the total cortex, superoxide dismutase (SOD) activity was significantly increased in the BD8-treated groups at 0.56 mg/kg (8.000\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7027; P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and 1.12 mg/kg (7.004\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5575; P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) compared to the LPS group (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eA). Similarly, catalase (CAT) activity was significantly elevated at doses of 0.56 mg/kg (8.711\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5037; P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and 1.12 mg/kg (8.746\u0026thinsp;\u0026plusmn;\u0026thinsp;0.6746; P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) relative to the LPS group (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eB), and a similar pattern was observed for glutathione peroxidase (GPx) activity at 0.56 mg/kg (8.296\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4234; P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and 1.12 mg/kg (9.072\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2476; P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) compared to LPS (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eC). Comparable effects were observed in the hippocampus following the LPS challenge. SOD activity was significantly increased in the 0.56 mg/kg (11.68\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9774 P\u0026thinsp;\u0026lt;\u0026thinsp;0.01), and 1.12 mg/kg (13.52\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7114; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001) BD8-treated groups compared to LPS (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eD). Likewise, CAT activity was significantly elevated at 0.56 mg/kg (7.196\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5668; P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and 1.12 mg/kg (9.787\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4146; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001) relative to LPS (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eE). Similar results were observed for GPx activity at 0.56 mg/kg (4.990\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2508; P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and 1.12 mg/kg (6.506\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4093; P\u0026thinsp;\u0026lt;\u0026thinsp;0.01) compared to LPS (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003eF).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eThe presence of chronic neuroinflammatory processes underlies several neuropsychiatric and neurological disorders, including neurodegenerative diseases, epilepsy, and cognitive impairments (Abramovitz et al., 2011; Cobb and Cole, 2015). The glial cells' hyperactivation occurs as part of this process, leading to the release of pro-inflammatory cytokines, oxidative stress, and progressive neuronal damage (Cobb and Cole, 2015). In this context, new therapeutic compounds that can mitigate inflammation in the central nervous system (CNS) are highly relevant. It is well known that cardiotonic steroids, such as ouabain and digoxin, inhibit different α-isoforms of the Na⁺/K⁺-ATPase at high concentrations. The clinical use as a cardiotonic is limited by high toxicity and a narrow therapeutic margin (Ziff and Kotecha, 2016). Furthermore, the wide distribution of NKA in tissues contributes to its systemic effects, inducing cell toxicity (Kinoshita et al., 2022; Leite et al., 2022b). However, several studies have shown that low concentrations of cardiotonic steroids, are linked to the activation of signaling cascades (de S\u0026aacute; Lima et al., 2013; Kinoshita et al., 2022; Leite et al., 2022b; Orellana et al., 2018). This action can reverse LPS-induced glia activation, and prevent neuroinflammation as well as apoptosis processes in the peripheral and central nervous system (Abramovitz et al., 2011; Cavalcante-Silva et al., 2017; Kinoshita et al., 2014; Orellana et al., 2016).\u003c/p\u003e \u003cp\u003eRecent studies from our group showed that BD-8, a derivative of the cardiosteroid digoxin, exhibits high selectivity for the for the Na⁺/K⁺-ATPase α2 isoform, which is expressed in peripheral tissues (such as cardiac, muscle, and adipose cells) and in astrocytes (Ferreira et al., 2024; Pess\u0026ocirc;a et al., 2018). Previous data also indicated that BD-8 showed reduced neurotoxicity in \u003cem\u003ein silico\u003c/em\u003e studies (Ferreira et al., 2024). Consistently, \u003cem\u003ein vitro\u003c/em\u003e treatment with BD-8 and Digoxin in SH-SY5Y and BV-2 cells revealed that BD-8 displays signicantly lower cytotoxicity than digoxin. Moreover, the BD-8 molecule showed a higher CC20 value than digoxin (Ferreira et al., 2024). This data reinforce our previously work that demonstrated the role in decrease toxicity through the synthetic modification on the lactone ring (Oliveira et al., 2021).\u003c/p\u003e \u003cp\u003eDigoxin crosses the blood-brain barrier and can induce neuropsychiatric effects even at therapeutic doses (Eisendrath and Sweeney, 1987; Graafsma et al., 2025), in addition to causing neurotoxicity in animal models (Jaafar, 2017), and activating human astrocytes \u003cem\u003ein vitro\u003c/em\u003e (Pamies et al., 2023). Previous studies demonstrate that the administration of cardiac glycosides in mice influences locomotor activity. For example, digoxin administered intragastrically at doses\u0026thinsp;\u0026ge;\u0026thinsp;1000 \u0026micro;g/kg significantly reduced spontaneous locomotor activity (Bai, Y.-L. et al. 2012). Furthermore, other studies have shown that mice treated with 650 \u0026micro;g/kg of digoxin exhibited a significant reduction in total distance traveled over 20 minutes in the open-field test, whereas doses of 1, 4, or 65 \u0026micro;g/kg produced no significant effect compared to the control group (Hashimoto et al., 2024). In contrast, our results demonstrate that a 3-day treatment with BD8, at doses of 20, 40, 200, and 400 \u0026micro;g/kg, promoted an increase in the animals' locomotor and exploratory activity relative to the control group\u0026mdash;a profile distinct from that observed with digoxin. Moreover, no alterations were detected in blood biomarkers of cardiac, renal, and hepatic function, thereby evidencing a favorable safety profile for treatment with BD8.\u003c/p\u003e \u003cp\u003eLPS remains one of the most widely used models to investigate mechanisms and therapies to decipher systemic and cerebral inflammation (Batista et al., 2019). Peripheral administration of LPS in animals leads to a biphasic response in both behavioral and biochemical parameters. The acute phase of sickness behavior peaks within 3 to 4 hours following LPS administration and manifests as a constellation of symptoms, including anhedonia, slowed movement initiation, reduced mobility, exploration, and grooming, hunched posture, and (Carregosa et al., 2024; Kawamoto et al., 2013). In the present study, LPS significantly reduced locomotor activity four hours after administration, consistent with sickness behavior and anxiety- or depression-like phenotypes described in the literature (Zhang et al., 2024). Importantly, BD8 attenuated these behavioral impairments. Both 0.56 mg/kg and 1.12 mg/kg increased locomotion and time spent in the center of the open field, suggesting partial reversal of sickness-related behavioral alterations.Locomotion is frequently impaired in neurological conditions such as Parkinson's disease, stroke, multiple sclerosis, and dementia (Allali et al., 2018). These neurodegenerative diseases are associated with the aging process, which is also related to increased basal levels of oxidative stress and neuroinflammation mediators (Orellana et al., 2015; Pizza et al., 2011).\u003c/p\u003e \u003cp\u003eOxidative stress arises when the production of reactive oxygen species (ROS) exceeds the antioxidant defense capacity, leading to damage to lipids, proteins, and DNA. The brain is particularly vulnerable to this imbalance due to its high oxygen consumption and relatively low antioxidant reserves (Patel, 2016). Furthermore, the interaction of cardiotonics with Na⁺/K⁺-ATPase can generate ROS by modulating cellular signaling pathways (Xie and Cai, 2003), a process relevant in conditions such as obesity and cardiovascular disease (Srikanthan et al., 2016). Oxidative stress plays a central role in the behavioral changes induced by LPS, with lipid peroxidation among the most consistent markers of this response. It has already been shown that LPS increases oxidative stress and damage to the prefrontal cortex and hippocampus in Parkinson's and Huntington's disease models (Kumar et al., 2023), in addition to being associated with depression- and anxiety-like behaviors (Zheng et al., 2021). Corroborating these findings, we observed that LPS significantly increased MDA levels in the total cortex and hippocampus in our model. Previous results from our group have shown that Ouabain and BD-15 reduce LPS-induced lipid peroxidation in multiple brain structures (Garcia et al., 2018; Garcia et al., 2019; Cordeiro et al., 2025). Furthermore, \u003cem\u003ein vitro\u003c/em\u003e studies have shown that digoxin reduces MDA levels (Silva et al., 2017). In this work, we show that BD8 also reduces lipid peroxidation in the total cortex and hippocampus after LPS challenge, reinforcing the antioxidant potential of digoxin-derived compounds against neuroinflammation.\u003c/p\u003e \u003cp\u003eMoreover, LPS administration has been shown to decrease the activity of key antioxidant enzymes, including glutathione peroxidase (GPx), superoxide dismutase (SOD), and catalase (CAT), particularly in the prefrontal cortex and hippocampus (Noh et al., 2014). Here, BD8 effectively reversed these alterations, restoring the activity of these enzymes in the total cortex and hippocampus. Supporting these findings, other studies have demonstrated that digoxin-derived compounds, such as BD-15, also modulate antioxidant enzyme activity in LPS-induced neuroinflammation (Carvalho, 2025), and that ouabain exerts regulatory effects on antioxidant defenses (Garcia et al., 2018).\u003c/p\u003e \u003cp\u003eMechanistic overview supported by measured endpoints is illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e, LPS administration resulted in decreased locomotor activity and the administration of BD8 attenuated the behavioral alteration in mice challenged with LPS. This neuroprotective effect is mechanistically associated with a sustained reduction in markers of cerebral oxidative stress. As a digoxin derivative with an optimized safety profile, BD8 preserves neuronal integrity and behavioral homeostasis through its potent antioxidant action.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eTaken together, the results indicate that the protective effects of BD8 against LPS-induced depression- and anxiety-like behaviors were accompanied by a consistent reduction in oxidative stress in the brain, reinforcing its potential as a safer and possibly neuroprotective derivative of digoxin.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments:\u0026nbsp;\u003c/strong\u003eThe authors would like also to thank to by contributing with support Leandro Oliveira Barbosa and Laboratório Central Analítica do Campus Centro Oeste da UFSJ LCACCO (FINEP and FAPEMIG grants).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor's contribution:\u0026nbsp;\u003c/strong\u003eConceived and designed the experiments:\u0026nbsp;\u003cstrong\u003eVKBS, DAF, APRA, ESF, MFRF, PYOF, PCG, JAFPV, LAOB, MCL, IJPG, HLS, CS, SRM and JAL.\u003c/strong\u003e Performed the experiments:\u0026nbsp;\u003cstrong\u003eVKBS, DAF, APRA, ESF, MFRF, PYOF, PCG, JAFPV, LAOB, MCL, IJPG, HLS, CS, SRM and JAL\u003c/strong\u003e. Analyzed the data:\u0026nbsp;\u003cstrong\u003eVKBS, DAF, APRA, ESF, MFRF, PYOF, PCG, JAFPV, LAOB, HLS, CS, SRM, JAL\u003c/strong\u003e. Wrote the paper: JAL, SRM and CS. All the authors read the revised manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding –\u0026nbsp;\u003c/strong\u003eThis study was funded by CNPq 409119/2023-7, 403646/2021-9 (Conselho Nacional de Desenvolvimento Científico e Tecnológico), FAPEMIG APQ-01288-21, APQ-01915-22 (Fundação de Amparo à Pesquisa do Estado de Minas Gerais), UFG (Universidade Federal de Goiás), CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), FINEP 1640-22 (Financiadora de Estudos e Projetos) FAPESP Process number 2021/06009-6 (Fundação de Amparo à Pesquisa do Estado de São Paulo).\u0026nbsp;\u003cstrong\u003eHLS, SRM\u0026nbsp;\u003c/strong\u003eand \u003cstrong\u003eCS\u003c/strong\u003e are research fellows of CNPq.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests:\u0026nbsp;\u003c/strong\u003eThe authors report no competing or potential conflicts of interest.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAbramovitz, L., Rubinek, T., Ligumsky, H., Bose, S., Barshack, I., Avivi, C., Kaufman, B., Wolf, I., 2011. KL1 Internal Repeat Mediates Klotho Tumor Suppressor Activities and Inhibits bFGF and IGF-I Signaling in Pancreatic Cancer. \u003cstrong\u003eClinical Cancer Research\u003c/strong\u003e 17, 4254.\u003c/li\u003e\n \u003cli\u003eAllali, G., Blumen, H.M., Devanne, H., Pirondini, E., Delval, A., Van De Ville, D., 2018. Brain imaging of locomotion in neurological conditions. \u003cstrong\u003eNeurophysiol Clin\u0026nbsp;\u003c/strong\u003e48, 337-359.\u003c/li\u003e\n \u003cli\u003eAlves, S.L.G., Paix\u0026atilde;o, N., Ferreira, L.G.R., Santos, F.R.S., Neves, L.D.R., Oliveira, G.C., Cortes, V.F., Salom\u0026eacute;, K.S., Barison, A., Santos, F.V., Cenzi, G., Varotti, F.P., Oliveira, S.M.F., Taranto, A.G., Comar, M., Silva, L.M., No\u0026euml;l, F., Quintas, L.E.M., Barbosa, L.A., Villar, J.A.F.P., 2015. \u0026gamma;-Benzylidene digoxin derivatives synthesis and molecular modeling: Evaluation of anticancer and the Na,K-ATPase activity effect. Bioorganic \u0026amp; \u003cstrong\u003eMedicinal Chemistry\u003c/strong\u003e 23, 4397-4404.\u003c/li\u003e\n \u003cli\u003eBatista, C.R.A., Gomes, G.F., Candelario-Jalil, E., Fiebich, B.L., de Oliveira, A.C.P., 2019. Lipopolysaccharide-Induced Neuroinflammation as a Bridge to Understand Neurodegeneration. \u003cstrong\u003eInt J Mol\u003c/strong\u003e Sci 20.\u003c/li\u003e\n \u003cli\u003eBai, Y.-L. et al. A comparison of the effects of digoxin, ouabain and milrinone on naloxone-precipitated withdrawal syndrome in mice.\u0026nbsp;\u003cstrong\u003eEuropean journal of pharmacology\u003c/strong\u003e, v. 694, n. 1-3, p. 69\u0026ndash;74, maio 2012.\u003c/li\u003e\n \u003cli\u003eCarregosa, D., Loncarevic-Vasiljkovic, N., Feliciano, R., Moura-Louro, D., Mendes, C.S., dos Santos, C.N., 2024. Locomotor and gait changes in the LPS model of neuroinflammation are correlated with inflammatory cytokines in blood and brain.\u0026nbsp;\u003cstrong\u003eJournal of Inflammation\u003c/strong\u003e 21, 39.\u003c/li\u003e\n \u003cli\u003eCavalcante-Silva, L.H.A., Carvalho, D.C.M., de Almeida Lima, \u0026Eacute;., Rodrigues-Mascarenhas, S., 2021. Ouabain inhibits p38 activation in mice neutrophils. \u003cstrong\u003eInflammopharmacology\u003c/strong\u003e 29, 1829-1833.\u003c/li\u003e\n \u003cli\u003eCavalcante-Silva, L.H.A., Lima, \u0026Eacute;.d.A., Carvalho, D.C.M., de Sales-Neto, J.M., Alves, A.K.d.A., Galv\u0026atilde;o, J.G.F.M., da Silva, J.S.d.F., Rodrigues-Mascarenhas, S., 2017. Much More than a Cardiotonic Steroid: Modulation of Inflammation by Ouabain. \u003cstrong\u003eFront Physiol\u003c/strong\u003e 8, 895-895.\u003c/li\u003e\n \u003cli\u003eCobb, C.A., Cole, M.P., 2015. Oxidative and nitrative stress in neurodegeneration. \u003cstrong\u003eNeurobiol Dis\u003c/strong\u003e 84, 4-21.\u003c/li\u003e\n \u003cli\u003eCordeiro, G. A. et al. Evaluation of the neuroprotective potential of benzylidene digoxin 15 against oxidative stress in a neuroinflammation models induced by lipopolysaccharide and on neuronal differentiation of hippocampal neural precursor cells. \u003cstrong\u003eFrontiers in Pharmacology\u003c/strong\u003e, v. 16, 14 mar. 2025.\u003c/li\u003e\n \u003cli\u003eDantzer, R., O\u0026apos;Connor, J.C., Freund, G.G., Johnson, R.W., Kelley, K.W., 2008. From inflammation to sickness and depression: when the immune system subjugates the brain. Nature reviews. \u003cstrong\u003eNeuroscience\u003c/strong\u003e 9, 46-56.\u003c/li\u003e\n \u003cli\u003ede S\u0026aacute; Lima, L., Kawamoto, E.M., Munhoz, C.D., Kinoshita, P.F., Orellana, A.M.M., Curi, R., Rossoni, L.V., Avellar, M.C.W., Scavone, C., 2013. Ouabain activates NF\u0026kappa;B through an NMDA signaling pathway in cultured cerebellar cells.\u0026nbsp;\u003cstrong\u003eNeuropharmacology\u0026nbsp;\u003c/strong\u003e73, 327-336.\u003c/li\u003e\n \u003cli\u003ede Souza Gon\u0026ccedil;alves, B., de Moura Valadares, J.M., Alves, S.L.G., Silva, S.C., Rangel, L.P., Cortes, V.F., Villar, J., Barbosa, L.A., de Lima Santos, H., 2019. Evaluation of neuroprotective activity of digoxin and semisynthetic derivatives against partial chemical ischemia. \u003cstrong\u003eJ Cell Biochem\u0026nbsp;\u003c/strong\u003e120, 17108-17122.\u003c/li\u003e\n \u003cli\u003eDvela, M., Rosen, H., Feldmann, T., Nesher, M., Lichtstein, D., 2007. Diverse biological responses to different cardiotonic steroids. \u003cstrong\u003ePathophysiology\u003c/strong\u003e 14, 159-166.\u003c/li\u003e\n \u003cli\u003eEisendrath, S.J., Sweeney, M.A., 1987. Toxic neuropsychiatric effects of digoxin at therapeutic serum concentrations. \u003cstrong\u003eThe American journal of psychiatry\u0026nbsp;\u003c/strong\u003e144, 506-507.\u003c/li\u003e\n \u003cli\u003eErdogan, M.A., Kirazlar, M., Yigitturk, G., Erbas, O., 2022. Digoxin Exhibits Neuroprotective Properties in a Rat Model of Dementia.\u0026nbsp;\u003cstrong\u003eNeurochem Res\u003c/strong\u003e 47, 1290-1298.\u003c/li\u003e\n \u003cli\u003eFerreira, D.A., Medeiros, A.B.A., Soares, M.M., Lima, \u0026Eacute;.d.A., Oliveira, G.C.S.L.d., Leite, M.B.d.S., Machado, M.V., Villar, J.A.F.P., Barbosa, L.A., Scavone, C., Moura, M.T., Rodrigues-Mascarenhas, S., 2024. Evaluation of Anti-Inflammatory Activity of the New Cardiotonic Steroid \u0026gamma;-Benzylidene Digoxin 8 (BD-8) in Mice.\u0026nbsp;\u003cstrong\u003eCells\u0026nbsp;\u003c/strong\u003e13, 1568.\u003c/li\u003e\n \u003cli\u003eFujita-Sato, S., Ito, S., Isobe, T., Ohyama, T., Wakabayashi, K., Morishita, K., Ando, O., Isono, F., 2011. Structural basis of digoxin that antagonizes RORgamma t receptor activity and suppresses Th17 cell differentiation and interleukin (IL)-17 production.\u0026nbsp;\u003cstrong\u003eThe Journal of biological chemistry\u003c/strong\u003e 286, 31409-31417.\u003c/li\u003e\n \u003cli\u003eGalv\u0026atilde;o, J.G.F.M., Cavalcante-Silva, L.H.A., de Almeida Lima, \u0026Eacute;., Carvalho, D.C.M., Alves, A.F., Mascarenhas, S.R., 2022. Ouabain modulates airway remodeling caused by Th2-high asthma in mice.\u0026nbsp;\u003cstrong\u003eInternational immunopharmacology\u003c/strong\u003e 109, 108808.\u003c/li\u003e\n \u003cli\u003eGarcia, I.J.P., Kinoshita, P.F., de Oliveira Braga, I., Parreira, G.M., Mignaco, J.A., Scavone, C., Barbosa, L.A., de Lima Santos, H., 2018. Ouabain attenuates the oxidative stress induced by lipopolysaccharides in the cerebellum of rats.\u0026nbsp;\u003cstrong\u003eJ Cell Biochem\u003c/strong\u003e 119, 2156-2167.\u003c/li\u003e\n \u003cli\u003eGarcia, I.J.P., Kinoshita, P.F., Silva, L.N.D.e., De Souza Busch, M., Atella, G.C., Scavone, C., Cortes, V.F., Barbosa, L.A., De Lima Santos, H., 2019. Ouabain attenuates oxidative stress and modulates lipid composition in hippocampus of rats in lipopolysaccharide-induced hypocampal neuroinflammation in rats. \u003cstrong\u003eJournal of Cellular Biochemistry\u003c/strong\u003e 120, 4081-4091.\u003c/li\u003e\n \u003cli\u003eGraafsma, J., Cimic, N., Dijkman, M., Gresnigt, F.M.J., Mitrovic, D., Smit, C., 2025. Digoxin toxicity with therapeutic serum digoxin concentrations. \u003cstrong\u003eToxicology Reports\u003c/strong\u003e 15, 102079.\u003c/li\u003e\n \u003cli\u003eHashimoto, J. et al. Effects of Cardiac Glycoside Digoxin on Dendritic Spines and Motor Learning Performance in Mice. \u003cstrong\u003eNeuroscience\u003c/strong\u003e, v. 541, p. 77\u0026ndash;90, 24 jan. 2024.\u003c/li\u003e\n \u003cli\u003eHuh, J.R., Leung, M.W., Huang, P., Ryan, D.A., Krout, M.R., Malapaka, R.R., Chow, J., Manel, N., Ciofani, M., Kim, S.V., Cuesta, A., Santori, F.R., Lafaille, J.J., Xu, H.E., Gin, D.Y., Rastinejad, F., Littman, D.R., 2011. Digoxin and its derivatives suppress TH17 cell differentiation by antagonizing ROR\u0026gamma;t activity. \u003cstrong\u003eNature\u003c/strong\u003e 472, 486-490.\u003c/li\u003e\n \u003cli\u003eJaafar, F.R., 2017. Study on Neurotoxic effects of Digoxin different doses in mice. \u003cstrong\u003eKufa Journal for Veterinary Medical Sciences\u003c/strong\u003e 8, 187-195.\u003c/li\u003e\n \u003cli\u003eKawamoto, E.M., Scavone, C., Mattson, M.P., Camandola, S., 2013. Curcumin Requires Tumor Necrosis Factor \u0026alpha; Signaling to Alleviate Cognitive Impairment Elicited by Lipopolysaccharide. \u003cstrong\u003eNeurosignals\u003c/strong\u003e 21, 75-88.\u003c/li\u003e\n \u003cli\u003eKhan, M.S., Muhammad, T., Ikram, M., Kim, M.O., 2019. Dietary Supplementation of the Antioxidant Curcumin Halts Systemic LPS-Induced Neuroinflammation-Associated Neurodegeneration and Memory/Synaptic Impairment via the JNK/NF-\u0026kappa;B/Akt Signaling Pathway in Adult Rats. \u003cstrong\u003eOxid Med Cell Longev\u003c/strong\u003e 2019, 7860650.\u003c/li\u003e\n \u003cli\u003eKinoshita, P.F., Orellana, A.M.M., Nakao, V.W., de Souza Port\u0026apos;s, N.M., Quintas, L.E.M., Kawamoto, E.M., Scavone, C., 2022. The Janus face of ouabain in Na+/K+-ATPase and calcium signalling in neurons.\u003cstrong\u003e\u0026nbsp;British Journal of Pharmacology\u0026nbsp;\u003c/strong\u003e179, 1512-1524.\u003c/li\u003e\n \u003cli\u003eKinoshita, P.F., Yshii, L.M., Vasconcelos, A.R., Orellana, A.M.M., Lima, L.d.S., Davel, A.P.C., Rossoni, L.V., Kawamoto, E.M., Scavone, C., 2014. Signaling function of Na,K-ATPase induced by ouabain against LPS as an inflammation model in hippocampus. \u003cstrong\u003eJournal of neuroinflammation\u003c/strong\u003e 11, 1-12.\u003c/li\u003e\n \u003cli\u003eKumar, J., Patel, T., Sugandh, F., Dev, J., Kumar, U., Adeeb, M., Kachhadia, M.P., Puri, P., Prachi, F., Zaman, M.U., Kumar, S., Varrassi, G., Syed, A.R.S., 2023. Innovative Approaches and Therapies to Enhance Neuroplasticity and Promote Recovery in Patients With Neurological Disorders: A Narrative Review. \u003cstrong\u003eCureus\u0026nbsp;\u003c/strong\u003e15, e41914.\u003c/li\u003e\n \u003cli\u003eLee, J., Baek, S., Lee, J., Lee, J., Lee, D.G., Park, M.K., Cho, M.L., Park, S.H., Kwok, S.K., 2015. Digoxin ameliorates autoimmune arthritis via suppression of Th17 differentiation. \u003cstrong\u003eInt Immunopharmacol\u0026nbsp;\u003c/strong\u003e26, 103-111.\u003c/li\u003e\n \u003cli\u003eLeite, J.A., Alves, A.K., Galv\u0026atilde;o, J.G., Teixeira, M.P., Cavalcante-Silva, L.H., Scavone, C., Morrot, A., Rumjanek, V.M., Rodrigues-Mascarenhas, S., 2015. Ouabain Modulates Zymosan-Induced Peritonitis in Mice. \u003cstrong\u003eMediators Inflamm\u0026nbsp;\u003c/strong\u003e2015, 265798.\u003c/li\u003e\n \u003cli\u003eLeite, J.A., Cavalcante-Silva, L.H.A., Ribeiro, M.R., de Morais Lima, G., Scavone, C., Rodrigues-Mascarenhas, S., 2022a. Neuroinflammation and Neutrophils: Modulation by Ouabain. \u003cstrong\u003eFrontiers in pharmacology\u0026nbsp;\u003c/strong\u003e13, 824907.\u003c/li\u003e\n \u003cli\u003eLeite, J.A., Isaksen, T.J., Heuck, A., Scavone, C., Lykke-Hartmann, K., 2020. The \u0026alpha;2 Na+/K+-ATPase isoform mediates LPS-induced neuroinflammation.\u0026nbsp;\u003cstrong\u003eScientific reports\u003c/strong\u003e 10, 14180.\u003c/li\u003e\n \u003cli\u003eLeite, J.A., P\u0026ocirc;\u0026ccedil;as, E., Maia, G.S., Barbosa, L., Quintas, L.E.M., Kawamoto, E.M., da Silva, M.L.C., Scavone, C., de Carvalho, L.E.D., 2022b. Effect of ouabain on calcium signaling in rodent brain: A systematic review of in vitro studies. \u003cstrong\u003eFrontiers in pharmacology\u003c/strong\u003e 13, 916312.\u003c/li\u003e\n \u003cli\u003eManna, S.K., Sreenivasan, Y., Sarkar, A., 2006. Cardiac glycoside inhibits IL-8-induced biological responses by downregulating IL-8 receptors through altering membrane fluidity. \u003cstrong\u003eJ Cell Physiol\u0026nbsp;\u003c/strong\u003e207, 195-207.\u003c/li\u003e\n \u003cli\u003eNoh, H., Jeon, J., Seo, H., 2014. Systemic injection of LPS induces region-specific neuroinflammation and mitochondrial dysfunction in normal mouse brain. \u003cstrong\u003eNeurochem Int\u003c/strong\u003e 69, 35-40.\u003c/li\u003e\n \u003cli\u003eOrellana, A.M., Kinoshita, P.F., Leite, J.A., Kawamoto, E.M., Scavone, C., 2016. Cardiotonic Steroids as Modulators of Neuroinflammation. \u003cstrong\u003eFrontiers in endocrinology\u003c/strong\u003e 7, 10-10.\u003c/li\u003e\n \u003cli\u003eOrellana, A.M., Leite, J.A., Kinoshita, P.F., Vasconcelos, A.R., Andreotti, D.Z., de S\u0026aacute; Lima, L., Xavier, G.F., Kawamoto, E.M., Scavone, C., 2018. Ouabain increases neuronal branching in hippocampus and improves spatial memory.\u0026nbsp;\u003cstrong\u003eNeuropharmacology\u0026nbsp;\u003c/strong\u003e140, 260-274.\u003c/li\u003e\n \u003cli\u003eOrellana, A.M.M., Vasconcelos, A.R., Leite, J.A., de S\u0026aacute; Lima, L., Andreotti, D.Z., Munhoz, C.D., Kawamoto, E.M., Scavone, C., 2015. Age-related neuroinflammation and changes in AKT-GSK-3\u0026beta; and WNT/ \u0026beta;-CATENIN signaling in rat hippocampus. \u003cstrong\u003eAging (Albany NY\u003c/strong\u003e) 7, 1094-1111.\u003c/li\u003e\n \u003cli\u003ePamies, D., Vujić, T., Schvartz, D., Boccard, J., Repond, C., Nunes, C., Rudaz, S., Sanchez, J.C., Gonz\u0026aacute;lez-Ruiz, V., Zurich, M.G., 2023. Digoxin Induces Human Astrocyte Reaction In Vitro. \u003cstrong\u003eMol Neurobiol\u0026nbsp;\u003c/strong\u003e60, 84-97.\u003c/li\u003e\n \u003cli\u003ePatel, M., 2016. Targeting Oxidative Stress in Central Nervous System Disorders. \u003cstrong\u003eTrends Pharmacol\u003c/strong\u003e Sci 37, 768-778.\u003c/li\u003e\n \u003cli\u003ePess\u0026ocirc;a, M.T.C., Alves, S.L.G., Taranto, A.G., Villar, J., Blanco, G., Barbosa, L.A., 2018. Selectivity analyses of \u0026gamma;-benzylidene digoxin derivatives to different Na,K-ATPase \u0026alpha; isoforms: a molecular docking approach.\u0026nbsp;\u003cstrong\u003eJ Enzyme Inhib Med Chem\u003c/strong\u003e 33, 85-97.\u003c/li\u003e\n \u003cli\u003ePizza, V., Agresta, A., D\u0026apos;Acunto, C.W., Festa, M., Capasso, A., 2011. Neuroinflammation and ageing: current theories and an overview of the data.\u003cstrong\u003eReviews on recent clinical trials\u0026nbsp;\u003c/strong\u003e6, 189-203.\u003c/li\u003e\n \u003cli\u003eRodrigues-Mascarenhas, S., De Oliveira, A.D.S., Amoedo, N.D., Affonso-Mitidieri, O.R., Rumjanek, F.D., Rumjanek, V.M., 2009. Modulation of the Immune System by Ouabain. \u003cstrong\u003eAnnals of the New York Academy of Sciences\u003c/strong\u003e 1153, 153-163.\u003c/li\u003e\n \u003cli\u003eSilva, L.N.D.E., Pessoa, M.T., Alves, S.L.G., Venugopal, J., Cortes, V.F., Santos, H.L., Villar, J.A.F.P., Barbosa, L.A., 2017. Differences of lipid membrane modulation and oxidative stress by digoxin and 21‐benzylidene digoxin. \u003cstrong\u003eExperimental Cell Research\u003c/strong\u003e 359, 291\u0026ndash;298.\u003c/li\u003e\n \u003cli\u003eSrikanthan, P., Horwich, T.B., Tseng, C.H., 2016. Relation of Muscle Mass and Fat Mass to Cardiovascular Disease Mortality. \u003cstrong\u003eAm J Cardiol\u003c/strong\u003e 117, 1355-1360.\u003c/li\u003e\n \u003cli\u003eSun, Y., Koyama, Y., Shimada, S., 2022. Inflammation From Peripheral Organs to the Brain: How Does Systemic Inflammation Cause Neuroinflammation?\u003cstrong\u003eFront Aging Neurosci\u0026nbsp;\u003c/strong\u003e14, 903455.\u003c/li\u003e\n \u003cli\u003eVieira, L., Saldanha, A.A., Moraes, A.M., Oliveira, F.M., Lopes, D.O., Barbosa, L.A.O., Ribeiro, R., Thom\u0026eacute;, R.G., Santos, H.B.D., Villar, J., Soares, A.C., 2018. 21‑Benzylidene digoxin, a novel digoxin hemi-synthetic derivative, presents an anti-inflammatory activity through inhibition of edema, tumour necrosis factor alpha production, inducible nitric oxide synthase expression and leucocyte migration. \u003cstrong\u003eInt Immunopharmacol\u0026nbsp;\u003c/strong\u003e65, 174-181.\u003c/li\u003e\n \u003cli\u003eXie, J., Van Hoecke, L., Vandenbroucke, R.E., 2021. The Impact of Systemic Inflammation on Alzheimer\u0026apos;s Disease Pathology. \u003cstrong\u003eFrontiers in immunology\u0026nbsp;\u003c/strong\u003e12, 796867.\u003c/li\u003e\n \u003cli\u003eXie, Z., Cai, T., 2003. Na\u0026lt;sup\u0026gt;+\u0026lt;/sup\u0026gt;-K\u0026lt;sup\u0026gt;+\u0026lt;/sup\u0026gt;-ATPase-Mediated Signal Transduction: From Protein Interaction to Cellular Function. \u003cstrong\u003eMolecular Interventions\u003c/strong\u003e 3, 157-168.\u003c/li\u003e\n \u003cli\u003eYang, Q., Huang, W., Jozwik, C., Lin, Y., Glasman, M., Caohuy, H., Srivastava, M., Esposito, D., Gillette, W., Hartley, J., Pollard, H.B., 2005. Cardiac glycosides inhibit TNF-\u0026alpha;/NF-\u0026kappa;B signaling by blocking recruitment of TNF receptor-associated death domain to the TNF receptor.\u003cstrong\u003e\u0026nbsp;Proceedings of the National Academy of Sciences\u003c/strong\u003e 102, 9631-9636.\u003c/li\u003e\n \u003cli\u003eZheng, Z.H., Tu, J.L., Li, X.H., Hua, Q., Liu, W.Z., Liu, Y., Pan, B.X., Hu, P., Zhang, W.H., 2021. Neuroinflammation induces anxiety- and depressive-like behavior by modulating neuronal plasticity in the basolateral amygdala. \u003cstrong\u003eBrain Behav Immun\u003c/strong\u003e 91, 505-518.\u003c/li\u003e\n \u003cli\u003eZiff, O.J., Kotecha, D., 2016. Digoxin: The good and the bad. \u003cstrong\u003eTrends Cardiovasc Med\u003c/strong\u003e 26, 585-595.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Table","content":"\u003cp\u003e\u003cstrong\u003eTable 1:\u0026nbsp;\u003c/strong\u003eBlood parameters analyzed in the plasma of Wistar Rats\u003c/p\u003e\n\u003cp\u003e\u003cimg 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more about [Cell Biochemistry and Biophysics](http://link.springer.com/journal/12013)","snPcode":"12013","submissionUrl":"https://submission.nature.com/new-submission/12013/3","title":"Cell Biochemistry and Biophysics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-9284032/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9284032/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eChronic neuroinflammation is a key factor in neurological and neuropsychiatric disorders, including depression and cognitive impairment. Persistent activation of microglia and astrocytes leads to the release of pro-inflammatory mediators and oxidative stress, contributing to neuronal damage. Therefore, therapies targeting central nervous system inflammation are of great interest. BD-8, a digoxin-derived cardiosteroid, has shown selectivity for the α2 isoform of Na⁺/K⁺-ATPase, expressed in peripheral and neuronal cells, particularly astrocytes, along with promising neuroprotective and anti-inflammatory effects. This study evaluated BD-8\u0026rsquo;s cytotoxicity in SH-SY5Y and BV-2 cells using the MTT assay, and its in vivo neuroprotective, anxiolytic, and antioxidant effects in rodent models. Wistar rats were used for systemic toxicity, while Swiss mice underwent LPS-induced neuroinflammation. Behavioral (Open Field test), biochemical, and oxidative stress markers were assessed in cortex and hippocampus. BD-8 showed lower cytotoxicity than digoxin and no adverse effects on cardiac, hepatic, or renal markers in vivo. It improved exploratory behavior and reduced LPS-induced sickness behavior. Additionally, BD-8 decreased lipid peroxidation and restored antioxidant enzyme activity (SOD, CAT, GPx). These findings highlight BD-8 as a promising therapeutic candidate for neuroinflammatory conditions.\u003c/p\u003e","manuscriptTitle":"Neuroprotective and antioxidant effects of digoxin derivative (BD-8) in an LPS-induced neuroinflammation model","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-15 15:15:58","doi":"10.21203/rs.3.rs-9284032/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-04-22T15:56:19+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-22T07:15:20+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-16T05:53:56+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-04-14T06:16:23+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"122670295128103397189323811617256209601","date":"2026-04-13T06:44:15+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"274100854060860228817948356099656152980","date":"2026-04-10T01:46:20+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"292192491964219464871357507519031240611","date":"2026-04-09T22:18:08+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"321715157632557510255912600073646001450","date":"2026-04-09T21:20:53+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"237230855123872784492320699662160419089","date":"2026-04-09T06:09:08+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"224649383639045248726153406066754575420","date":"2026-04-09T04:01:23+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"326352268557059343637494930945420574707","date":"2026-04-08T22:11:23+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"35016350555322129722815519724361486815","date":"2026-04-08T06:08:46+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"317487895642044119829064986742480839250","date":"2026-04-08T03:01:46+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"266354106317041577921502575403392228250","date":"2026-04-08T00:10:43+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"97920929261008305742954275802809155324","date":"2026-04-07T21:44:29+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"327383930979400082956596508833754226597","date":"2026-04-07T21:37:22+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"69976918470515881342680270986469135169","date":"2026-04-07T21:31:28+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-04-07T21:05:06+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-04-04T04:09:30+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-04-04T04:08:37+00:00","index":"","fulltext":""},{"type":"submitted","content":"Cell Biochemistry and Biophysics","date":"2026-03-31T20:02:40+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"cell-biochemistry-and-biophysics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"cbbi","sideBox":"Learn more about [Cell Biochemistry and Biophysics](http://link.springer.com/journal/12013)","snPcode":"12013","submissionUrl":"https://submission.nature.com/new-submission/12013/3","title":"Cell Biochemistry and Biophysics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"478263c0-815c-4153-b1e3-9c28591b3a26","owner":[],"postedDate":"April 15th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"in-revision","subjectAreas":[],"tags":[],"updatedAt":"2026-04-22T16:10:18+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-15 15:15:58","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9284032","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9284032","identity":"rs-9284032","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}