Molecular and functional insights into probiotic interference with Salmonella typhimurium invA virulence gene expression

Molecular and functional insights into probiotic interference with Salmonella typhimurium invA virulence gene expression | 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 Molecular and functional insights into probiotic interference with Salmonella typhimurium invA virulence gene expression Adeyemi Umar-farouq Adeyemo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8276466/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Salmonella enterica serovar Typhimurium ( S. typhimurium ) is a major foodborne pathogen increasingly complicated by antimicrobial resistance (AMR). The invA gene is a conserved virulence determinant essential for host epithelial invasion and widely used as a molecular marker. This study investigated the impact of Lactobacillus acidophilus and Bifidobacterium longum supplementation on S. typhimurium colonization and invA gene expression in a murine model. Methods Eighty- four poultry-derived samples (faeces, eggs, chicken meat) were screened for S. typhimurium isolation using selective enrichment and biochemical asssays. Forty female albino mice were assigned to five groups: negative control (administered phosphate-buffered saline only), positive control ( S. typhimurium only), and three probiotic- treatment groups at low (250 mg/kg), medium (500 mg/kg), and high (750 mg/kg) doses. Probiotics were administered for 14 days; infection occurred on Day 7. Clinical signs were monitored, and liver and kidney tissues were analysed. Quantitative PCR (qPCR) targeting invA , normalized to GapA , evaluated virulence gene expression using the 2 −ΔΔCt method. Results Fifteen isolates of S. typhimurium (17.86%) were recovered, with highest prevalence in fecal samples (53.33%). Probiotic-treated mice maintained baseline activity and appearance, in contrast to the infected untreated mice showing lethargy, rough coats and heavy fecal discharge. Probiotic supplementation reduced bacterial load in fecal and intestinal samples, with the highest reduction at 750 mg/kg. qPCR revealed dose-dependent suppression of invA gene expression, with ΔCt ranging from – 8.05 (positive controls) to + 7.95 (highest- dose group). Conclusion Probiotic supplementation attenuates S. typhimurium virulence by suppressing invA expression in vivo, highlighting its potential application as a prophylactic strategy against Salmonellosis . This findings emphasize probiotic-based interventions as a promising adjunct approaches in AMR mitigation. General Microbiology Salmonella typhimurium invA probiotics qPCR virulence regulation AMR mice Figures Figure 1 Figure 2 1. Introduction Foodborne salmonellosis remains a global public health concern, responsible for over 94 million morbidity and 150,000 mortality per annum (Galán-Relaño et al., 2023 ). Salmonella enterica serovar Typhimurium ( S. typhimurium ) is one of the most prevalent serovars identified to causing both humans and animals disease. Over 2500 Salmonella serotypes have been identified to date, with over 60% grouped under Salmonella enterica , accounting for the majority of human infections (Crump et al., 2015 ). High prevalence in food and water systems in Sub-Saharan Africa contributes significantly to the regional burden of gastroenteritis and invasive non-typhoidal salmonellosis, especially among immunocompromised individuals (Mahon and Fields, 2016 ). Clinical symptoms of Salmonella infections typically appear when the bacterial load reaches approximately 10 7 − 10 8 CFU, manifesting mainly as self-limiting gastroenteritis (Arya et al., 2017 ). Nonetheless, it can also cause severe extra-intestinal infections, particularly in hosts with compromised immune systems (Feasey et al., 2012 ). According to the Centers for Disease Control and Preventions (CDC, 2021), salmonellosis is recognized as a clinical infection characterized initially by high fever (often exceeding 40°C), malaise and anorexia, which subsequently progress to diarrhea, vomiting, and abdominal discomfort. Clinical manifestations typically appear within 12 to 36 hours post- exposure and may continue for two to seven days. Also, in severe cases, dehydration develops as a secondary complications. The severity and duration of clinical symptoms depend on the number of infecting organisms, the immune status of the animal, and the presence of concurrent diseases. The pathogen exhibits remarkable adaptability and invades host intestinal epithelial cells via the Type III secretion system (T3SS) to secrete flagellin, a key virulence factor that facilitates colonization by outcompeting commensal gut bacteria and inducting host inflammatory responses, in which invA plays a critical role (Lamichhane et al., 2024 ). Diagnosis routinely includes culture on selective media ( Salmonella - Shigella Agar or Xylose Lysine Deoxycholate Agar), and molecular assay such as Real-time PCR (RT-PCR) (Odumeru and León-Velarde, 2012 ; Moosavy et al., 2015 ). Real-time PCR (RT-PCR) became the most preferred diagnostic tool in food microbiology due to its high sensitivity and rapid turnaround time (Day et al., 2009 ). The assay detects amplification in real time using fluorescence from DNA-binding dyes or hybridization probes (Hyeon et al., 2011 ). Several PCR assays have been developed targeting Salmonella - specific genes, including 16S rRNA , agfA , and viaB , and virulence plasmids, with the invA gene serving as the gold-standard marker for species identification (Malorny et al., 2004 ). However, increasing antimicrobial resistance (MDR and XDR phenotypes) has limited therapeutic options (Shu et al., 2015 ), highlighting the need for safe, accessible alternatives (Elbediwi et al., 2021 ; Wei et al., 2023 ). Probiotics such as Lactobacillus acidophilus and Bifidobacterium longum possess immunomodulatory and pathogen-exclusion properties (Saini et al., 2009 ; Franz et al., 2010 ; Zhang et al., 2022 ), yet molecular level in vivo evidence of their influence on S. typhimurium virulence especially invA suppression remains limited (Medellín‑Peña et al., 2024). This study evaluates the impact of probiotic supplementation ( L. acidophilus and B. longum ) on S. typhimurium colonization, and invA gene expression in mice using a validated qPCR approach. 2. Methods 2.1 Ethics Considerations Ethical approval was obtained from the Osun State University Ethical Review Committee, College of Health Sciences (UNIOSUNHREC 2025 /002B). Every effort was made to minimize discomfort to animals throughout the study. The animals were maintained in sanitized, well-ventilated cages with unrestricted access to food and safe water ad libitum . All sacrifices were performed via physical methods on the anaesthetized animals, to ensure that chemical agents would not interfere with results. Hence, cervical dislocation involving a rapid, forceful separation of the first cervical vertebra from the skull was considered (American Veterinary Medical Association). This method was chosen to minimize distress and is consistent with internationally accepted protocols for small rodents. Informed consent was obtained from poultry vendors before sample purchase. Sample collection followed national biosafety and ethical guidelines; no additional permits were required for market-purchased poultry products as all samples were sourced from legally registered markets, and collection complied with national guidelines for handling food-origin materials. No endangered or protected species were involved. 2.2 Study Location This study was conducted at the Department of Microbiology Laboratory and Animal house, Osun State University, Osogbo, Nigeria. 2.3 Sample Collection and Processing Eighty-four (84) poultry-derived samples (28 feces, chicken meat, and egg samples each) were collected from five major markets in Osogbo metropolis: Sasa, Oluode, Igbona, Alekuwodo and Oja-Oba. Samples were placed in sterile zip-lock bags, transported on ice and processed within 6 hours of collection. Each specimen was pre-enriched by suspending 1 g in 9mL of buffered peptone water (BPW) and incubating at 37 o C for 18 - 24 hours. Thereafter, 0.1mL Aliquots were transferred into 10mL of Rappaport-Vassiliadis broth for selective enrichment at 42°C for 24 hours (Bawa et al., 2020). Loopfuls from the enriched broth were streaked on Salmonella-Shigella Agar (SSA) and Xylose Lysine Desoxycholate agar (XLD agar) and incubated at 37 o C for 24 hours. Typical colonies (red or colourless with black-centers) were sub-cultured, stocked and identified biochemically the procedures of Oliveira et al. (2003) including catalase, oxidase, H 2 S production on TSI agar, fermentation tests, indole, motility test, methyl red and urease tests (Andrews et al., 2018). Prevalence was calculated as: Prevalence (P) = Number of positive isolates / Total samples collected x 100 . 2.4 In vivo Experimental Design 2.4.1 Animal preparation Forty (40) female albino mice aged four weeks were obtained from a certified breeder (high-sanitary-status farms from mothers serologically negative to Salmonella ). The mice were acclimatized for two weeks under controlled laboratory conditions (25°C temperature; 60 to 65% humidity; 12 hours light/dark cycle). The animals were provided standard feed and water ad libitum and monitored daily for health and behavioural changes. 2.4.2 Grouping and treatments Mice were randomly divided into 5 experimental groups (n = 8 per group): Group I: Negative control – received phosphate-buffered saline only; Group II: Positive control – challenged with Salmonella typhimurium only; Group III: Low probiotics dose (250 mg/Kg) + infection; Group IV: Medium probiotics dose (500 mg/Kg) + infection; Group V: High probiotics dose (750 mg/Kg) + infection. Each mouse received oral gavage (0.2mL per dose) daily from Day 0 –14. Infection occurred on Day 7, all groups except Group I were orally inoculated with S. typhimurium suspension (0.2mL; 4 × 10³ CFU/mouse). 2.4.3 Clinical monitoring Probiotic administration continued for another 7 days post-infection. Animals were observed daily for changes in activity, clinical symptoms, and feed intake. On Day 15, mice were humanely sacrificed, and blood, liver and kidney tissues were harvested for microbiological, and molecular analysis (Chen et al., 2023). 2.5 Probiotic Preparation Commercial probiotic formulations containing Lactobacillus acidophilus ATCC 4356, and Bifidobacterium longum BB536 (Nature Field, USA) were used. The probiotic blend was freshly reconstituted in sterile normal saline prior to each administration. Probiotic and pathogen inoculant were prepared following Chen et al. (2023), ensuring viable counts of 4×10 3 CFU/mouse for the bacterial challenge. 2.6 Quantitative PCR (qPCR) Analysis Quantitative real-time PCR (qPCR) were employed to detect and quantify the expression of the invA gene using synthesized primers (Forward primers: 5’- TTGTCACCGTGGTCCAGTTT-3’ and Reverse primer: 3’- TACCGGGCATACCATCCAGA-5’) virulence gene of S. typhimurium in liver and kidney tissues of infected mice. The GapA was used as the internal control to normalize expression levels (Siala et al., 2017). All reagents, methods and equipment were obtained from Applied Biosystems. 2.6.1 DNA extraction Approximately, 100 mg of kidney and liver tissue was homogenized in 1 mL Tris EDTA (TE) buffer (10 Mm Tris-HCl, 1 mM EDTA, pH 8.0). A 520 μL aliquot was transferred into sterile microtubes, and 15 μL of 20% SDS with 3 μL of Proteinase K (20 mg/mL) was added. After incubation at 37 ºC for 1 hour, 100 μL of 5 M NaCl and 80 μL of a 10% CTAB solution in 0.7 M NaCl were added and votexed. The suspension was incubated for 10 minutes at 65ºC and cooled for 15 minutes. DNA was extracted with chloroform: isoamyl alcohol (24:1), precipitated with isopropanol (1: 0.6) at –20ºC overnight and pelleted by centrifugation. The DNA was washed with 70% ethanol, air-dried, and dissolved in 50 μL of TE buffer (Siala et al., 2017). 2.6.2 RNA treatment To remove residual DNA, 20 ng of RNA was treated with NEB DNase 1 ( M0303 ) according to manufacturer’s guidelines. Following incubation at 37°C for 10 minutes, DNase was inactivated by adding 1 µL of 0.5 M EDTA and heating at 75°C for 10 minutes. Treated samples were stored at -20 o C until use (Siala et al., 2017). 2.6.3 Gene quantification Expression levels of the invA virulence gene were quantified using Luna® Universal qPCR Master Mix Protocol (M3003). Reaction mixtures (20 µL) contained 10 µL master mix, 0.5 µL each of forward primer and reverse primer, 0.5 - 1 µL reverse transcriptase and 2 µL of RNA template. Thermal cycling conditions were: Reverse transcriptase: 42 o C for 10 minutes, initial denaturation: 95°C for 60 seconds, 40-45 cycles of denaturation at 95°C for 15 seconds, extension and plate reading at 60°C for 30 seconds, and Final extension: 72 o C for 10 minutes. Amplification was performed on a Bio-Rad CFX96 Real-Time PCR system, and specificity confirmed by melt-curve analysis. GapA served as the reference gene for normalization. Expression changes were calculated using: ∆Ct = Ct of Target gene (Ct inv A ) – Ct of the Reference gene (Ct Gap A ) ∆∆Ct = ∆Ct (sample) - ∆Ct (calibrator) Fold change = 2 –∆∆Ct Positive detection threshold: Ct ≤ 35 (Heymans et al., 2018; Xue et al., 2025). 3. Results 3.1 Prevalence of S. typhimurium isolated A total of 15 (fifteen) S. typhimurium were recovered, from 84 poultry- derived samples with prevalence (P) of 17.86%. The highest number of S. typhimurium (n = 8; P = 53.33%) was from faecal samples, followed by chicken meat samples (n = 5; P = 33.33%); while egg samples yielded the least (n = 2; P = 13.33%). The study identified fourteen Gram-negative, rod-shaped and three Gram positive cocci isolates that formed distinctive colonies on selective media (Plate 1 and 2). These isolates showed colonies with characteristic black centers on Salmonella-Shigella Agar (SSA), and on Xylose Lysine Deoxycholate (XLD) agar, the colonies were red or pink, also presenting with black centers (Plate 1 and 2). (a)Plate 1: Images of Salmonella on SSA Agar (b) Plate 2: Images of Salmonella on XLD Agar Examining the morphology more closely, 47% of the isolates exhibited an irregular shape, while 52% were circular. A smooth and shiny surface was observed in 58% of the isolates, while 47% displayed a rough and shiny appearance. The colonies also exhibited diverse edge characteristics, including undulate, entire, curled, filamentous, and rhizoid forms. The predicted accuracy of the bacterial species identification ranged between ≥ 80.20% and ≤ 99.0%. 3.2 Animal experiment a. Clinical observations Probiotics treated mice maintained better physical appearance and activity levels as it show gradual improvement in activity and appearance over the 14 days period compared to the infected untreated group (positive control), appeared weak, less active, and show ruffled fur, lethargy and heavy fecal droppings and the negative control group maintained a normal activity level. b. Re-isolation of Salmonella from the infected mice Following experimental infection and subsequent re-isolation from the faecal samples of infected mice, the presence of S. typhimurium was confirmed. A total of 15 isolates were identified, comprising 13 (87%) Gram-negative rods and 2 (13.3%) Gram-positive cocci. Further characterization through biochemical tests showed that all isolates were catalase-positive, urease-positive, citrate-positive, and oxidase-negative. These result’s consistency with the expected morphology of S. typhimurium , and strongly indicated a successful infection. In contrast, the majority of isolates recovered from infected mice that had received probiotic treatment were identified as Gram-positive rods. c. Effect of probiotics supplementation on Salmonella typhimurium colonization in mice The Salmonella load counts in faecal samples, and intestinal tissues was measured to assess the colonization levels. Mice infected with Salmonella typhimurium showed significantly higher bacterial counts faecal (5.2 x 10 6 CFU/mL) and intestinal tissues (4.8 x 10 6 CFU/mL) samples compared to the negative control group (not detected) (Fig. 4.3). However, probiotic-treated groups exhibited a reduction in bacterial load count, with the highest decrease observed in the group receiving the optimal probiotic dosage for faecal (1.8 × 10 6 CFU/mL) and, intestinal tissues (1.5 × 10 6 CFU/mL) (Table 1). Table 1: Salmonella load counts (CFU/ml) in treatment groups d. Determination of Optimal Probiotic Dosage To determine the most effective probiotic dose, bacterial reduction were analysed across different dosage groups. The high-dose probiotic group exhibited the most significant decrease (p < 0.05), in bacterial load for faecal (1.8 × 10 6 CFU/mL) and intestinal tissues (1.5 × 10 6 CFU/mL) (Fig. 1 ). e. Expression of invA virulence gene Infected mice showed high expression levels, whereas probiotic treatment significantly reduced gene expression (Ct = 20.80), with the high-dose probiotic group showing the most reduction (Ct = 33.41). The positive control group (Group B) recorded the highest invA gene expression, as indicated by very low ΔCt values of – 8.05 in tissue samples. This confirmed strong pathogen colonization and effective infection. In contrast, the negative control group (Group A) had no detectable amplification of the invA gene, with Ct values undetermined or beyond detection, indicating absence of infection (Fig. 2 ). (a.) (b.) For the probiotic-treated groups, a progressive reduction in invA expression was reported. Group C recorded mild expression with ΔCt values of – 0.61, reflecting partial suppression of invA . Group D showed lower expression with a ΔCt of + 3.42, while Group E, which received the highest probiotic dose, exhibited the lowest detected expression, with a ΔCt of + 7.95 and a late Ct value of 33.41 (Table 2). Table 2: Quantitative PCR analysis of invA Gene expression 4. Discussion S. typimurium was isolated from poultry-derived samples (egg, meat and poultry faecal droppings), with an overall prevalence of 17.86% (15/84). This agree with Olorunjuwon et al., ( 2016 ), who reported varying Salmonella prevalence from healthy animals and animal products in Nigeria; 6.4% in chicken, 14.1% in raw meat, 39% in slaughtered animals and 2% in raw beef respectively. In the present study, faecal samples showed the highest detection rate (n = 8; 53.33%), followed by meat samples (n = 5; 33.33%); and eggs (n = 2; 13.33%). The low recovery from eggs aligns with the report of Chousalkar and Robert (2012), who recorded minimal Salmonella contamination on eggshells and internal contents. Experimental infection in mice produced classical salmonellosis symptoms such as diarrhoea, weight loss, and anorexia, consistent with earlier findings by Feary and Hassel ( 2006 ), and Habrun et al. ( 2006 ). In contrast, probiotic- supplemented mice maintained normal weight and feeding behaviour, supporting the findings of Bibi et al. ( 2024 ), who reported that probiotics consumption enhance gastrointestinal stability. Similarly, Remes-Troche et al. (2020) reported that L. acidophilus alleviated digestive symptoms in infected mice, while Kim et al. ( 2021 ) and Zhang et al. ( 2022 ) documented that L. acidophilus and B. longum mitigated intestinal inflammation in murine colitis models via increased acetate and lactate production. Gene expression analysis revealed a progressive, dose-dependent suppression of invA expression in probiotic-treated groups. The positive control exhibited the lowest ΔCt and highest fold change values, indicating intense pathogen colonization, while the negative control showed no amplification, validating assay specificity. Probiotic treatment significantly increased ΔCt values, with the highest dose group (Group E) demonstrating the strongest inhibition of invA gene expression. This suggests that probiotic supplementation down regulates Salmonella virulence in a concentration-dependent manner. These results are consistent with earlier studies demonstrating that probiotics attenuate virulence gene expression in Salmonella and related pathogens. Liu et al. ( 2022 ) and Chen et al. ( 2023 ) reported that L. johnsonii and other LAB strains reduced S. typhimurium virulence by modulating oxidative stress and inflammatory responses. Likewise, Lee et al. ( 2016 ) observed that LAB strains significantly decreased invA transcription and host inflammation during epithelial infection. Furthermore, Adetoye et al. ( 2018 ) demonstrated anti- Salmonella activity of LAB isolates from cattle, while Wang et al. ( 2021 ) and Yan and Polk ( 2019 ) provided evidence that probiotics could enhance host immunity and indirectly suppress pathogen colonization and virulence. Overall, these findings reinforce the therapeutic promise of probiotic supplementation as a natural strategy for mitigating Salmonella pathogenicity and antibiotic resistance. Limitations include the use of a single infection dose, limited molecular targets (only invA gene), and absence of immunological profiling (e.g., cytokine responses). Future work should bridge gaps on transcriptomic profiling and multi-gene virulence analysis. 5. Conclusion The findings from this study demonstrate that probiotic supplementation using L. acidophilus and B. longum effectively reduced S. typhimurium colonization in mice and significantly down-regulated the expression of the virulence gene invA validating the specificity of the infection model and molecular detection approach. Importantly, mice treated with probiotics demonstrated a dose-dependent reduction in invA expression, with the highest probiotic blend group showing the most pronounced suppression. This study also provides molecular evidence that probiotic supplementation can modulate bacterial virulence, potentially reducing the severity of salmonellosis. The study highlights the practical potential of probiotics as complementary interventions to antibiotics for managing salmonellosis, contributing to the broader goal of reducing antimicrobial resistance risks associated with foodborne pathogens. Declarations Ethical approval and consent to participate All animal procedures were approved by the Osun State University Ethical Review Committee (UNIOSUNHREC 2025/002B). Animals weren’t anesthetized but euthanized via physical method (cervical dislocation). This method was chosen to minimize distress and is consistent with internationally accepted protocols for small rodents. Informed consent was obtained from poultry product vendors prior to sample collection. Also, market-based sample collection required no additional permits under Nigerian biosafety regulations, as all samples were sourced from legally registered markets, and collection complied with national guidelines for handling food-origin materials. No endangered or protected species were involved. Clinical Trial Number Not applicable. Conflict of Interest The authors declare that there is no conflict of interest. Consent to Publication Not applicable. Funding This research received no specific grant from any funding agency in the public, commercial, or not- for- profit sectors. Author Contributions AUA conceptualized and designed the study, performed laboratory experiments, analyzed data and drafted the manuscript. Acknowledgements The authors gratefully acknowledge the Department of Microbiology, Osun State University, Osogbo, Nigeria, Multidisciplinary Research Laboratory, Osun State University, Osogbo, Nigeria and Inqaba Biotech, Ibadan, Nigeria, for providing laboratory facilities and support throughout the study. Availability of data and materials All datasets generated or analysed during this study are included in this article and its supplementary files. Raw qPCR Ct values and microbiological datasets are available from the corresponding author on request. References Adetoye AA, Pinloche E, Adeniyi BA, Ayeni FA (2018) Characterization and anti–Salmonella activities of lactic acid bacteria isolated from cattle faeces. BioMed Cent Microbiol 18(12):234–241 Andrews WH, Jacobson A, Hammack T, and the BAM Chap. 5 Editors (2018). Bacteriological Analytical Manual , Chap. 5: Salmonella . U.S. FoodDrug Adminstrtion. 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Front Microbiol 8:2416 Wang T, Hu L, Zhang R, Liu Y (2021) Probiotics modulate host immune responses and downregulate Salmonella virulence factors in murine infection models. Beneficial Microbes 12(2):157–168 Wei X, Long L, Lv Y, Wang M, Wang D, Liu C, Li S, Wang J (2023) Serotype distribution, multidrug resistance, and β–lactamase resistance gene prevalence among Salmonella isolates in Guizhou, China. PLoS ONE 18(4):0282254 Xue B, Zhang H, Yan X, Su X, Zhou Y, Xie J, Li S, Zhou Y, Li L (2025) A TaqMan qPCR for precise detection and quantification of diarrheagenic Escherichia coli . Sci Rep 15:16728 Yan F, Polk DB (2019) Probiotics and immune health. Curr Opin Gastroenterol 35(6):468–473 Zhang Y, Raheem A, Gao X (2022) Cytoprotective effects of Lactobacillus acidophilus on mouse intestinal epithelial cells during Salmonella infection. Fermentation 8(3):101 Plate Plate 1 and 2 are available in the Supplementary Files section. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8276466","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":555091840,"identity":"1cdab685-57f0-4e00-8643-4aa1bfc77ddc","order_by":0,"name":"Adeyemi Umar-farouq Adeyemo","email":"data:image/png;base64,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","orcid":"https://orcid.org/0009-0009-9723-1262","institution":"Osun State University, Osogbo, Nigeria","correspondingAuthor":true,"prefix":"","firstName":"Adeyemi","middleName":"Umar-farouq","lastName":"Adeyemo","suffix":""}],"badges":[],"createdAt":"2025-12-04 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12:58:57","extension":"html","order_by":9,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":107849,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-8276466/v1/d9772f3a6c7da98b0c5de7c8.html"},{"id":97706299,"identity":"2fd14949-ec19-49b2-a6c2-635608d44732","added_by":"auto","created_at":"2025-12-08 12:58:56","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":62250,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eSalmonella\u003c/em\u003e load counts (Log\u003csub\u003e10\u003c/sub\u003e CFU/mL) in faecal, and intestinal samples across treatment groups\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8276466/v1/3966a65df731c640f3c6a9f0.jpg"},{"id":97706300,"identity":"d6383718-f6e4-42a1-8e84-edc8c3bb5ff1","added_by":"auto","created_at":"2025-12-08 12:58:56","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":161416,"visible":true,"origin":"","legend":"\u003cp\u003eAmplification curve of qPCR Analysis of \u003cem\u003einvA\u003c/em\u003e gene expression: (a) High dose (b) Low dose (c) Negative Control (d) Positive control\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8276466/v1/da54b6f9859179a1ed0251be.jpg"},{"id":97902548,"identity":"6adc697d-ae60-4277-a5eb-2b5ad3ebb320","added_by":"auto","created_at":"2025-12-10 15:52:48","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1169839,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8276466/v1/79c7eab4-fba7-4ac7-943d-35f2a6a75bf7.pdf"},{"id":97894928,"identity":"fb65f0a5-608c-40be-b2b8-8caece92ffe5","added_by":"auto","created_at":"2025-12-10 15:33:15","extension":"jpg","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":180692,"visible":true,"origin":"","legend":"","description":"","filename":"Plate.jpg","url":"https://assets-eu.researchsquare.com/files/rs-8276466/v1/ce38ecb7a530ab15b618e8e0.jpg"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eMolecular and functional insights into probiotic interference with \u003cem\u003eSalmonella typhimurium invA\u003c/em\u003e virulence gene expression\u003c/p\u003e","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eFoodborne salmonellosis remains a global public health concern, responsible for over 94\u0026nbsp;million morbidity and 150,000 mortality per annum (Gal\u0026aacute;n-Rela\u0026ntilde;o et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). \u003cem\u003eSalmonella enterica\u003c/em\u003e serovar Typhimurium (\u003cem\u003eS. typhimurium\u003c/em\u003e) is one of the most prevalent serovars identified to causing both humans and animals disease. Over 2500 \u003cem\u003eSalmonella\u003c/em\u003e serotypes have been identified to date, with over 60% grouped under \u003cem\u003eSalmonella enterica\u003c/em\u003e, accounting for the majority of human infections (Crump et al., \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2015\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eHigh prevalence in food and water systems in Sub-Saharan Africa contributes significantly to the regional burden of gastroenteritis and invasive non-typhoidal salmonellosis, especially among immunocompromised individuals (Mahon and Fields, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Clinical symptoms of \u003cem\u003eSalmonella\u003c/em\u003e infections typically appear when the bacterial load reaches approximately 10\u003csup\u003e7\u003c/sup\u003e \u0026minus;\u0026thinsp;10\u003csup\u003e8\u003c/sup\u003e CFU, manifesting mainly as self-limiting gastroenteritis (Arya et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Nonetheless, it can also cause severe extra-intestinal infections, particularly in hosts with compromised immune systems (Feasey et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2012\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eAccording to the Centers for Disease Control and Preventions (CDC, 2021), salmonellosis is recognized as a clinical infection characterized initially by high fever (often exceeding 40\u0026deg;C), malaise and anorexia, which subsequently progress to diarrhea, vomiting, and abdominal discomfort. Clinical manifestations typically appear within 12 to 36 hours post- exposure and may continue for two to seven days. Also, in severe cases, dehydration develops as a secondary complications. The severity and duration of clinical symptoms depend on the number of infecting organisms, the immune status of the animal, and the presence of concurrent diseases.\u003c/p\u003e\u003cp\u003eThe pathogen exhibits remarkable adaptability and invades host intestinal epithelial cells via the Type III secretion system (T3SS) to secrete flagellin, a key virulence factor that facilitates colonization by outcompeting commensal gut bacteria and inducting host inflammatory responses, in which \u003cem\u003einvA\u003c/em\u003e plays a critical role (Lamichhane et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Diagnosis routinely includes culture on selective media (\u003cem\u003eSalmonella\u003c/em\u003e-\u003cem\u003eShigella\u003c/em\u003e Agar or Xylose Lysine Deoxycholate Agar), and molecular assay such as Real-time PCR (RT-PCR) (Odumeru and Le\u0026oacute;n-Velarde, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2012\u003c/span\u003e; Moosavy et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2015\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eReal-time PCR (RT-PCR) became the most preferred diagnostic tool in food microbiology due to its high sensitivity and rapid turnaround time (Day et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). The assay detects amplification in real time using fluorescence from DNA-binding dyes or hybridization probes (Hyeon et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). Several PCR assays have been developed targeting \u003cem\u003eSalmonella\u003c/em\u003e- specific genes, including \u003cem\u003e16S rRNA\u003c/em\u003e, \u003cem\u003eagfA\u003c/em\u003e, and \u003cem\u003eviaB\u003c/em\u003e, and virulence plasmids, with the \u003cem\u003einvA\u003c/em\u003e gene serving as the gold-standard marker for species identification (Malorny et al., \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2004\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eHowever, increasing antimicrobial resistance (MDR and XDR phenotypes) has limited therapeutic options (Shu et al., \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2015\u003c/span\u003e), highlighting the need for safe, accessible alternatives (Elbediwi et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Wei et al., \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Probiotics such as \u003cem\u003eLactobacillus acidophilus\u003c/em\u003e and \u003cem\u003eBifidobacterium longum\u003c/em\u003e possess immunomodulatory and pathogen-exclusion properties (Saini et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Franz et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Zhang et al., \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2022\u003c/span\u003e), yet molecular level in vivo evidence of their influence on \u003cem\u003eS. typhimurium\u003c/em\u003e virulence especially \u003cem\u003einvA\u003c/em\u003e suppression remains limited (Medell\u0026iacute;n‑Pe\u0026ntilde;a et al., 2024).\u003c/p\u003e\u003cp\u003eThis study evaluates the impact of probiotic supplementation (\u003cem\u003eL. acidophilus\u003c/em\u003e and \u003cem\u003eB. longum\u003c/em\u003e) on \u003cem\u003eS. typhimurium\u003c/em\u003e colonization, and \u003cem\u003einvA\u003c/em\u003e gene expression in mice using a validated qPCR approach.\u003c/p\u003e"},{"header":"2. Methods ","content":"\u003cp\u003e\u003cstrong\u003e2.1 Ethics Considerations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEthical approval was obtained from the Osun State University Ethical Review Committee, College of Health Sciences (UNIOSUNHREC 2025 /002B).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eEvery effort was made to minimize discomfort to animals throughout the study. The animals were maintained in sanitized, well-ventilated cages with unrestricted access to food and safe water \u003cem\u003ead libitum\u003c/em\u003e. All sacrifices were performed via physical methods on the anaesthetized animals, to ensure that chemical agents would not interfere with results. Hence, cervical dislocation involving a rapid, forceful separation of the first cervical vertebra from the skull was considered (American Veterinary Medical Association). This method was chosen to minimize distress and is consistent with internationally accepted protocols for small rodents.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eInformed consent was obtained from poultry vendors before sample purchase. Sample collection followed national biosafety and ethical guidelines; no additional permits were required for market-purchased poultry products as all samples were sourced from legally registered markets, and collection complied with national guidelines for handling food-origin materials. No endangered or protected species were involved.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.2 Study Location\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was conducted at the Department of Microbiology Laboratory and Animal house, Osun State University, Osogbo, Nigeria.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.3 Sample Collection and Processing\u0026nbsp; \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEighty-four (84) poultry-derived samples (28 feces, chicken meat, and egg samples each) were collected from five major markets in Osogbo metropolis: Sasa, Oluode, Igbona, Alekuwodo and Oja-Oba. Samples were placed in sterile zip-lock bags, transported on ice and processed within 6 hours of collection. Each specimen was pre-enriched by suspending 1 g in 9mL of buffered peptone water (BPW) and incubating at 37\u003csup\u003eo\u003c/sup\u003eC for 18 - 24 hours. Thereafter, 0.1mL Aliquots were transferred into 10mL of Rappaport-Vassiliadis broth for selective enrichment at 42°C for 24 hours (Bawa et al., 2020). Loopfuls from the enriched broth were streaked on Salmonella-Shigella Agar (SSA) and Xylose Lysine Desoxycholate agar (XLD agar) and incubated at 37\u003csup\u003eo\u003c/sup\u003eC for 24 hours. Typical colonies (red or colourless with black-centers) were sub-cultured, stocked and identified biochemically the procedures of Oliveira et al. (2003) including catalase, oxidase, H\u003csub\u003e2\u003c/sub\u003eS production on TSI agar, fermentation tests, indole, motility test, methyl red and urease tests (Andrews et al., 2018).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ePrevalence was calculated as:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePrevalence (P) = Number of positive isolates / Total samples collected x 100\u003c/strong\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.4 In vivo Experimental Design\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.4.1 Animal preparation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eForty (40) female albino mice aged four weeks were obtained from a certified breeder (high-sanitary-status farms from mothers serologically negative to \u003cem\u003eSalmonella\u003c/em\u003e). The mice were acclimatized for two weeks under controlled laboratory conditions (25°C temperature; 60 to 65% humidity; 12 hours light/dark cycle). The animals were provided standard feed and water \u003cem\u003ead libitum\u003c/em\u003e and monitored daily for health and behavioural changes.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.4.2 Grouping and treatments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMice were randomly divided into 5 experimental groups (n = 8 per group):\u0026nbsp;\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eGroup I: Negative control – received phosphate-buffered saline only;\u003c/li\u003e\n \u003cli\u003eGroup II: Positive control – challenged with \u003cem\u003eSalmonella typhimurium\u003c/em\u003e only;\u003c/li\u003e\n \u003cli\u003eGroup III: Low probiotics dose (250 mg/Kg) + infection;\u003c/li\u003e\n \u003cli\u003eGroup IV: Medium probiotics dose (500 mg/Kg) + infection;\u003c/li\u003e\n \u003cli\u003eGroup V: High probiotics dose (750 mg/Kg) + infection.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eEach mouse received oral gavage (0.2mL per dose) daily from Day 0 –14. Infection occurred on Day 7, all groups except Group I were orally inoculated with \u003cem\u003eS. typhimurium\u003c/em\u003e suspension (0.2mL; 4 × 10³ CFU/mouse).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.4.3 Clinical monitoring\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eProbiotic administration continued for another 7 days post-infection. Animals were observed daily for changes in activity, clinical symptoms, and feed intake. On Day 15, mice were humanely sacrificed, and blood, liver and kidney tissues were harvested for microbiological, and molecular analysis (Chen et al., 2023).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.5 Probiotic Preparation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCommercial probiotic formulations containing \u003cem\u003eLactobacillus acidophilus\u003c/em\u003e ATCC 4356, and \u003cem\u003eBifidobacterium longum\u003c/em\u003e BB536 (Nature Field, USA) were used. The probiotic blend was freshly reconstituted in sterile normal saline prior to each administration. Probiotic and pathogen inoculant were prepared following Chen et al. (2023), ensuring viable counts of 4×10\u003csup\u003e3\u003c/sup\u003e CFU/mouse for the bacterial challenge.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.6 Quantitative PCR (qPCR) Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQuantitative real-time PCR (qPCR) were employed to detect and quantify the expression of the \u003cem\u003einvA\u003c/em\u003e gene using synthesized primers (Forward primers: 5’- TTGTCACCGTGGTCCAGTTT-3’ and Reverse primer: 3’- TACCGGGCATACCATCCAGA-5’) virulence gene of \u003cem\u003eS. typhimurium\u003c/em\u003e in liver and kidney tissues of infected mice. The \u003cem\u003eGapA\u0026nbsp;\u003c/em\u003ewas used as the internal control to normalize expression levels (Siala et al., 2017). All reagents, methods and equipment were obtained from Applied Biosystems.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.6.1 DNA extraction\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eApproximately, 100 mg of kidney and liver tissue was homogenized in 1 mL Tris EDTA (TE) buffer (10 Mm Tris-HCl, 1 mM EDTA, pH 8.0). A 520 μL aliquot was transferred into sterile microtubes, and 15 μL of 20% SDS with 3 μL of Proteinase K (20 mg/mL) was added. After incubation at 37 ºC for 1 hour, 100 μL of 5 M NaCl and 80 μL of a 10% CTAB solution in 0.7 M NaCl were added and votexed. The suspension was incubated for 10 minutes at 65ºC and cooled for 15 minutes. DNA was extracted with chloroform: isoamyl alcohol (24:1), precipitated with isopropanol (1: 0.6) at –20ºC overnight and pelleted by centrifugation. The DNA was washed with 70% ethanol, air-dried, and dissolved in 50 μL of TE buffer (Siala et al., 2017).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.6.2 RNA treatment\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo remove residual DNA, 20 ng of RNA was treated with NEB DNase 1 \u003cstrong\u003e(\u003c/strong\u003eM0303\u003cstrong\u003e)\u003c/strong\u003e according to manufacturer’s guidelines. Following incubation at 37°C for 10 minutes, DNase was inactivated by adding 1 µL of 0.5 M EDTA and heating at 75°C for 10 minutes. Treated samples were stored at -20\u003csup\u003eo\u003c/sup\u003eC until use (Siala et al., 2017).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e2.6.3 Gene quantification\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eExpression levels of the \u003cem\u003einvA\u003c/em\u003e virulence gene were quantified using Luna® Universal qPCR Master Mix Protocol (M3003). Reaction mixtures (20 µL) contained 10 µL master mix, 0.5 µL each of forward primer and reverse primer, 0.5 - 1 µL reverse transcriptase and 2 µL of RNA template.\u003c/p\u003e\n\u003cp\u003eThermal cycling conditions were: Reverse transcriptase: 42\u003csup\u003eo\u003c/sup\u003eC for 10 minutes, initial denaturation: 95°C for 60 seconds, 40-45 cycles of denaturation at 95°C for 15 seconds, extension and plate reading at 60°C for 30 seconds, and Final extension: 72\u003csup\u003eo\u003c/sup\u003eC for 10 minutes.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAmplification was performed on a Bio-Rad CFX96 Real-Time PCR system, and specificity confirmed by melt-curve analysis. \u003cem\u003eGapA\u003c/em\u003e served as the reference gene for normalization.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eExpression changes were calculated using:\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e∆Ct = Ct of Target gene (Ct\u003cem\u003e\u003csub\u003einv A\u003c/sub\u003e\u003c/em\u003e) – Ct of the Reference gene (Ct\u003cem\u003e\u003csub\u003eGap A\u003c/sub\u003e\u003c/em\u003e)\u003c/li\u003e\n \u003cli\u003e∆∆Ct = ∆Ct (sample) - ∆Ct (calibrator)\u003c/li\u003e\n \u003cli\u003eFold change = 2\u003csup\u003e–∆∆Ct\u003c/sup\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003ePositive detection threshold: Ct ≤ 35 (Heymans et al., 2018; Xue et al., 2025).\u003c/p\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Prevalence of \u003cem\u003eS. typhimurium\u003c/em\u003e isolated\u003c/h2\u003e\u003cp\u003eA total of 15 (fifteen) \u003cem\u003eS. typhimurium\u003c/em\u003e were recovered, from 84 poultry- derived samples with prevalence (P) of 17.86%. The highest number of \u003cem\u003eS. typhimurium\u003c/em\u003e (n\u0026thinsp;=\u0026thinsp;8; P\u0026thinsp;=\u0026thinsp;53.33%) was from faecal samples, followed by chicken meat samples (n\u0026thinsp;=\u0026thinsp;5; P\u0026thinsp;=\u0026thinsp;33.33%); while egg samples yielded the least (n\u0026thinsp;=\u0026thinsp;2; P\u0026thinsp;=\u0026thinsp;13.33%). The study identified fourteen Gram-negative, rod-shaped and three Gram positive cocci isolates that formed distinctive colonies on selective media (Plate 1 and 2). These isolates showed colonies with characteristic black centers on Salmonella-Shigella Agar (SSA), and on Xylose Lysine Deoxycholate (XLD) agar, the colonies were red or pink, also presenting with black centers (Plate 1 and 2).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e(a)Plate 1: Images of \u003cem\u003eSalmonella\u003c/em\u003e on SSA Agar (b) Plate 2: Images of \u003cem\u003eSalmonella\u003c/em\u003e on XLD Agar\u003c/p\u003e\u003cp\u003eExamining the morphology more closely, 47% of the isolates exhibited an irregular shape, while 52% were circular. A smooth and shiny surface was observed in 58% of the isolates, while 47% displayed a rough and shiny appearance. The colonies also exhibited diverse edge characteristics, including undulate, entire, curled, filamentous, and rhizoid forms. The predicted accuracy of the bacterial species identification ranged between \u0026ge;\u0026thinsp;80.20% and \u0026le;\u0026thinsp;99.0%.\u003c/p\u003e\u003cp\u003e\u003cb\u003e3.2 Animal experiment\u003c/b\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003ea. Clinical observations\u003c/b\u003e\u003c/p\u003e\u003cp\u003eProbiotics treated mice maintained better physical appearance and activity levels as it show gradual improvement in activity and appearance over the 14 days period compared to the infected untreated group (positive control), appeared weak, less active, and show ruffled fur, lethargy and heavy fecal droppings and the negative control group maintained a normal activity level.\u003c/p\u003e\u003cp\u003e\u003cb\u003eb. Re-isolation of\u003c/b\u003e \u003cb\u003eSalmonella\u003c/b\u003e \u003cb\u003efrom the infected mice\u003c/b\u003e\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eFollowing experimental infection and subsequent re-isolation from the faecal samples of infected mice, the presence of \u003cem\u003eS. typhimurium\u003c/em\u003e was confirmed. A total of 15 isolates were identified, comprising 13 (87%) Gram-negative rods and 2 (13.3%) Gram-positive cocci. Further characterization through biochemical tests showed that all isolates were catalase-positive, urease-positive, citrate-positive, and oxidase-negative. These result\u0026rsquo;s consistency with the expected morphology of \u003cem\u003eS. typhimurium\u003c/em\u003e, and strongly indicated a successful infection. In contrast, the majority of isolates recovered from infected mice that had received probiotic treatment were identified as Gram-positive rods.\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003ec. Effect of probiotics supplementation on\u003c/b\u003e \u003cb\u003eSalmonella typhimurium\u003c/b\u003e \u003cb\u003ecolonization in mice\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe \u003cem\u003eSalmonella\u003c/em\u003e load counts in faecal samples, and intestinal tissues was measured to assess the colonization levels. Mice infected with \u003cem\u003eSalmonella typhimurium\u003c/em\u003e showed significantly higher bacterial counts faecal (5.2 x 10\u003csup\u003e6\u003c/sup\u003e CFU/mL) and intestinal tissues (4.8 x 10\u003csup\u003e6\u003c/sup\u003e CFU/mL) samples compared to the negative control group (not detected) (Fig.\u0026nbsp;4.3). However, probiotic-treated groups exhibited a reduction in bacterial load count, with the highest decrease observed in the group receiving the optimal probiotic dosage for faecal (1.8 \u0026times; 10\u003csup\u003e6\u003c/sup\u003e CFU/mL) and, intestinal tissues (1.5 \u0026times; 10\u003csup\u003e6\u003c/sup\u003e CFU/mL) (Table\u0026nbsp;1).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1: \u003cem\u003eSalmonella\u003c/em\u003e load counts (CFU/ml) in treatment groups\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"658\" height=\"305\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cb\u003ed. Determination of Optimal Probiotic Dosage\u003c/b\u003e\u003c/p\u003e\u003cp\u003eTo determine the most effective probiotic dose, bacterial reduction were analysed across different dosage groups. The high-dose probiotic group exhibited the most significant decrease (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), in bacterial load for faecal (1.8 \u0026times; 10\u003csup\u003e6\u003c/sup\u003e CFU/mL) and intestinal tissues (1.5 \u0026times; 10\u003csup\u003e6\u003c/sup\u003e CFU/mL) (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003ee. Expression of\u003c/b\u003e \u003cb\u003einvA\u003c/b\u003e \u003cb\u003evirulence gene\u003c/b\u003e\u003c/p\u003e\u003cp\u003eInfected mice showed high expression levels, whereas probiotic treatment significantly reduced gene expression (Ct\u0026thinsp;=\u0026thinsp;20.80), with the high-dose probiotic group showing the most reduction (Ct\u0026thinsp;=\u0026thinsp;33.41). The positive control group (Group B) recorded the highest \u003cem\u003einvA\u003c/em\u003e gene expression, as indicated by very low ΔCt values of \u0026ndash; 8.05 in tissue samples. This confirmed strong pathogen colonization and effective infection. In contrast, the negative control group (Group A) had no detectable amplification of the \u003cem\u003einvA\u003c/em\u003e gene, with Ct values undetermined or beyond detection, indicating absence of infection (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(a.) (b.)\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eFor the probiotic-treated groups, a progressive reduction in \u003cem\u003einvA\u003c/em\u003e expression was reported. Group C recorded mild expression with ΔCt values of \u0026ndash; 0.61, reflecting partial suppression of \u003cem\u003einvA\u003c/em\u003e. Group D showed lower expression with a ΔCt of +\u0026thinsp;3.42, while Group E, which received the highest probiotic dose, exhibited the lowest detected expression, with a ΔCt of +\u0026thinsp;7.95 and a late Ct value of 33.41 (Table\u0026nbsp;2).\u003c/p\u003e\u003cp\u003e\u003cb\u003eTable\u0026nbsp;2: Quantitative PCR analysis of\u003c/b\u003e \u003cb\u003einvA\u003c/b\u003e \u003cb\u003eGene expression\u003c/b\u003e\u003c/p\u003e\u003cp\u003e\u003cimg 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\" width=\"724\" height=\"402\"\u003e\u003c/p\u003e"},{"header":"4. Discussion","content":"\u003cp\u003e\u003cem\u003eS. typimurium\u003c/em\u003e was isolated from poultry-derived samples (egg, meat and poultry faecal droppings), with an overall prevalence of 17.86% (15/84). This agree with Olorunjuwon et al., (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), who reported varying \u003cem\u003eSalmonella\u003c/em\u003e prevalence from healthy animals and animal products in Nigeria; 6.4% in chicken, 14.1% in raw meat, 39% in slaughtered animals and 2% in raw beef respectively. In the present study, faecal samples showed the highest detection rate (n\u0026thinsp;=\u0026thinsp;8; 53.33%), followed by meat samples (n\u0026thinsp;=\u0026thinsp;5; 33.33%); and eggs (n\u0026thinsp;=\u0026thinsp;2; 13.33%). The low recovery from eggs aligns with the report of Chousalkar and Robert (2012), who recorded minimal \u003cem\u003eSalmonella\u003c/em\u003e contamination on eggshells and internal contents.\u003c/p\u003e\u003cp\u003eExperimental infection in mice produced classical salmonellosis symptoms such as diarrhoea, weight loss, and anorexia, consistent with earlier findings by Feary and Hassel (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2006\u003c/span\u003e), and Habrun et al. (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2006\u003c/span\u003e). In contrast, probiotic- supplemented mice maintained normal weight and feeding behaviour, supporting the findings of Bibi et al. (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), who reported that probiotics consumption enhance gastrointestinal stability. Similarly, Remes-Troche et al. (2020) reported that \u003cem\u003eL. acidophilus\u003c/em\u003e alleviated digestive symptoms in infected mice, while Kim et al. (\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) and Zhang et al. (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) documented that \u003cem\u003eL. acidophilus\u003c/em\u003e and \u003cem\u003eB. longum\u003c/em\u003e mitigated intestinal inflammation in murine colitis models via increased acetate and lactate production.\u003c/p\u003e\u003cp\u003eGene expression analysis revealed a progressive, dose-dependent suppression of \u003cem\u003einvA\u003c/em\u003e expression in probiotic-treated groups. The positive control exhibited the lowest ΔCt and highest fold change values, indicating intense pathogen colonization, while the negative control showed no amplification, validating assay specificity. Probiotic treatment significantly increased ΔCt values, with the highest dose group (Group E) demonstrating the strongest inhibition of \u003cem\u003einvA\u003c/em\u003e gene expression. This suggests that probiotic supplementation down regulates \u003cem\u003eSalmonella\u003c/em\u003e virulence in a concentration-dependent manner.\u003c/p\u003e\u003cp\u003eThese results are consistent with earlier studies demonstrating that probiotics attenuate virulence gene expression in \u003cem\u003eSalmonella\u003c/em\u003e and related pathogens. Liu et al. (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) and Chen et al. (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) reported that \u003cem\u003eL. johnsonii\u003c/em\u003e and other LAB strains reduced \u003cem\u003eS. typhimurium\u003c/em\u003e virulence by modulating oxidative stress and inflammatory responses. Likewise, Lee et al. (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) observed that LAB strains significantly decreased \u003cem\u003einvA\u003c/em\u003e transcription and host inflammation during epithelial infection. Furthermore, Adetoye et al. (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) demonstrated anti-\u003cem\u003eSalmonella\u003c/em\u003e activity of LAB isolates from cattle, while Wang et al. (\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) and Yan and Polk (\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) provided evidence that probiotics could enhance host immunity and indirectly suppress pathogen colonization and virulence. Overall, these findings reinforce the therapeutic promise of probiotic supplementation as a natural strategy for mitigating \u003cem\u003eSalmonella\u003c/em\u003e pathogenicity and antibiotic resistance.\u003c/p\u003e\u003cp\u003eLimitations include the use of a single infection dose, limited molecular targets (only \u003cem\u003einvA\u003c/em\u003e gene), and absence of immunological profiling (e.g., cytokine responses). Future work should bridge gaps on transcriptomic profiling and multi-gene virulence analysis.\u003c/p\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eThe findings from this study demonstrate that probiotic supplementation using \u003cem\u003eL. acidophilus\u003c/em\u003e and \u003cem\u003eB. longum\u003c/em\u003e effectively reduced \u003cem\u003eS. typhimurium\u003c/em\u003e colonization in mice and significantly down-regulated the expression of the virulence gene \u003cem\u003einvA\u003c/em\u003e validating the specificity of the infection model and molecular detection approach. Importantly, mice treated with probiotics demonstrated a dose-dependent reduction in \u003cem\u003einvA\u003c/em\u003e expression, with the highest probiotic blend group showing the most pronounced suppression.\u003c/p\u003e\u003cp\u003eThis study also provides molecular evidence that probiotic supplementation can modulate bacterial virulence, potentially reducing the severity of salmonellosis. The study highlights the practical potential of probiotics as complementary interventions to antibiotics for managing salmonellosis, contributing to the broader goal of reducing antimicrobial resistance risks associated with foodborne pathogens.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003ch2\u003eEthical approval and consent to participate\u003c/h2\u003e\u003cp\u003e All animal procedures were approved by the Osun State University Ethical Review Committee (UNIOSUNHREC 2025/002B). Animals weren\u0026rsquo;t anesthetized but euthanized via physical method (cervical dislocation). This method was chosen to minimize distress and is consistent with internationally accepted protocols for small rodents.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eInformed consent\u003c/strong\u003e\u003cp\u003ewas obtained from poultry product vendors prior to sample collection. Also, market-based sample collection required no additional permits under Nigerian biosafety regulations, as all samples were sourced from legally registered markets, and collection complied with national guidelines for handling food-origin materials. No endangered or protected species were involved.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003ch2\u003eClinical Trial Number\u003c/h2\u003e\u003cp\u003eNot applicable.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003ch2\u003eConflict of Interest\u003c/h2\u003e\u003cp\u003eThe authors declare that there is no conflict of interest.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConsent to Publication\u003c/strong\u003e\u003cp\u003eNot applicable.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e\u003cp\u003eThis research received no specific grant from any funding agency in the public, commercial, or not- for- profit sectors.\u003c/p\u003e\u003ch2\u003eAuthor Contributions\u003c/h2\u003e\u003cp\u003eAUA conceptualized and designed the study, performed laboratory experiments, analyzed data and drafted the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e\u003cp\u003eThe authors gratefully acknowledge the Department of Microbiology, Osun State University, Osogbo, Nigeria, Multidisciplinary Research Laboratory, Osun State University, Osogbo, Nigeria and Inqaba Biotech, Ibadan, Nigeria, for providing laboratory facilities and support throughout the study.\u003c/p\u003e\u003ch2\u003eAvailability of data and materials\u003c/h2\u003e\u003cp\u003eAll datasets generated or analysed during this study are included in this article and its supplementary files. Raw qPCR Ct values and microbiological datasets are available from the corresponding author on request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAdetoye AA, Pinloche E, Adeniyi BA, Ayeni FA (2018) Characterization and anti\u0026ndash;Salmonella activities of lactic acid bacteria isolated from cattle faeces. BioMed Cent Microbiol 18(12):234\u0026ndash;241\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAndrews WH, Jacobson A, Hammack T, and the BAM Chap. 5 Editors (2018). \u003cem\u003eBacteriological Analytical Manual\u003c/em\u003e, Chap. 5: \u003cem\u003eSalmonella\u003c/em\u003e. U.S. FoodDrug Adminstrtion. 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Food Function 12:340\u0026ndash;350\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLamichhane B, Mawad AMM, Saleh M, Kelley WG, Harrington PJ, Lovestad II, Amezcua CW, Sarhan J, El Zowalaty MM, Ramadan ME, Morgan H, M., and, Helmy YA (2024) Salmonellosis: An overview of Epidemiology, pathogenesis, and innovative approaches to mitigate the antimicrobial resistant infections. Antibiotics 13(1):76\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLane DJ (1991) 16S/23S rRNA srquencing. In: Stackebrandt E, Goodfellow M (eds) Nucleic Acid Techniques in Bacterial Systematics. Wiley, Chichester, pp 115\u0026ndash;175\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLee SH, Yoon JM, Kim YH, Jeong DG, Park S, Kang DJ (2016) Therapeutic effect of tyndallized lactobacillus rhamnosus IDCC 3201 on atopic dermatitis mediated by down- regulation of immunoglobulin E in NC/Nga mice. 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J Probiotic Res 12(8):67\u0026ndash;72\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMoosavy MH, Esmaeili S, Bagheri Amiri F, Mostafavi E, Salehi Z, T (2015) Detection of Salmonella spp in commercial eggs in Iran. Iran J Microbiol 7(1):50\u0026ndash;54\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eOdumeru J, Le\u0026oacute;n-Velarde C (2012) Salmonella Detection Methods for Food and Food Ingredients, ISBN 978-953-307-782-6\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eOliviera SD, Rodenbusch CR, Ce MC, Rocha SLS, Canal CW (2003) Evaluation of selective and non- selective enrichment PCR procedures for Salmonella detection. \u003cem\u003eLetters in Applied Microbiology\u003c/em\u003e. Volume 36, Issue 4, pages 217\u0026ndash;221\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eOlorunjuwon OB, Temitope KB, Oluwatosin AA, Shakirullah AS (2016) Bacteriological assessment of raw meats sold in Lagos, Nigeria. Scientia Agriculturae 16(1):20\u0026ndash;25\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eRemes- Troche JM, Coss-Adame E, Valdovinos-Diaz MA, Gomez- Escudero O, Icaza-Chavez ME, Chavez-Barrera JA, Zarate- Mondragon F, Velasco JV, Aceves-Tavares GR, Lira-Pedrin MA, Cerda-Contreras E, Carmona-Sanchez RI, Lopez HG, Ortiz RS (2020) Lactobacillus acidophilus LB: a useful pharmabiotic for the treatment of digestive disorders. Therapeutic Adv Gastroenterol 13:1756284820971201\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSaini R, Marawar P, Shete S, Saini S (2009) Periodontitis, a true infection. J global Infect Dis 1(2):149\u0026ndash;150\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eShu KE, Priyia P, Nurul-Syakima AM, Hooi LS, Kok GC, Learn HL (2015) Salmonella: A review on pathogenesis, epidemiology and antibiotic resistance. Front Life Sci 8(3):284\u0026ndash;293\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSiala M, Barbana A, Smaoui S, Hachicha S, Marouane C, Kammoun S, Gdoura R, Messadi-Akrout F (2017) Screening and detecting Salmonella in Different Food Matrices in Southern Tunisia using a combined Enrichment/Real-Time PCR Method: Correlation with conventional Culture Method. Front Microbiol 8:2416\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eWang T, Hu L, Zhang R, Liu Y (2021) Probiotics modulate host immune responses and downregulate Salmonella virulence factors in murine infection models. Beneficial Microbes 12(2):157\u0026ndash;168\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eWei X, Long L, Lv Y, Wang M, Wang D, Liu C, Li S, Wang J (2023) Serotype distribution, multidrug resistance, and β\u0026ndash;lactamase resistance gene prevalence among Salmonella isolates in Guizhou, China. PLoS ONE 18(4):0282254\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eXue B, Zhang H, Yan X, Su X, Zhou Y, Xie J, Li S, Zhou Y, Li L (2025) A TaqMan qPCR for precise detection and quantification of diarrheagenic \u003cem\u003eEscherichia coli\u003c/em\u003e. Sci Rep 15:16728\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eYan F, Polk DB (2019) Probiotics and immune health. Curr Opin Gastroenterol 35(6):468\u0026ndash;473\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eZhang Y, Raheem A, Gao X (2022) Cytoprotective effects of Lactobacillus acidophilus on mouse intestinal epithelial cells during Salmonella infection. Fermentation 8(3):101\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Plate","content":"\u003cp\u003ePlate 1 and 2 are available in the Supplementary Files section.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Osun State University, Osogbo ","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Salmonella typhimurium, invA, probiotics, qPCR, virulence regulation, AMR, mice","lastPublishedDoi":"10.21203/rs.3.rs-8276466/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8276466/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003e\u003cem\u003eSalmonella enterica\u003c/em\u003e serovar Typhimurium (\u003cem\u003eS. typhimurium\u003c/em\u003e) is a major foodborne pathogen increasingly complicated by antimicrobial resistance (AMR). The \u003cem\u003einvA\u003c/em\u003e gene is a conserved virulence determinant essential for host epithelial invasion and widely used as a molecular marker. This study investigated the impact of \u003cem\u003eLactobacillus acidophilus\u003c/em\u003e and \u003cem\u003eBifidobacterium longum\u003c/em\u003e supplementation on \u003cem\u003eS. typhimurium\u003c/em\u003e colonization and \u003cem\u003einvA\u003c/em\u003e gene expression in a murine model.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eEighty- four poultry-derived samples (faeces, eggs, chicken meat) were screened for \u003cem\u003eS. typhimurium\u003c/em\u003e isolation using selective enrichment and biochemical asssays. Forty female albino mice were assigned to five groups: negative control (administered phosphate-buffered saline only), positive control (\u003cem\u003eS. typhimurium\u003c/em\u003e only), and three probiotic- treatment groups at low (250 mg/kg), medium (500 mg/kg), and high (750 mg/kg) doses. Probiotics were administered for 14 days; infection occurred on Day 7. Clinical signs were monitored, and liver and kidney tissues were analysed. Quantitative PCR (qPCR) targeting \u003cem\u003einvA\u003c/em\u003e, normalized to \u003cem\u003eGapA\u003c/em\u003e, evaluated virulence gene expression using the 2\u003csup\u003e\u0026minus;ΔΔCt\u003c/sup\u003e method.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eFifteen isolates of \u003cem\u003eS. typhimurium\u003c/em\u003e (17.86%) were recovered, with highest prevalence in fecal samples (53.33%). Probiotic-treated mice maintained baseline activity and appearance, in contrast to the infected untreated mice showing lethargy, rough coats and heavy fecal discharge. Probiotic supplementation reduced bacterial load in fecal and intestinal samples, with the highest reduction at 750 mg/kg. qPCR revealed dose-dependent suppression of \u003cem\u003einvA\u003c/em\u003e gene expression, with ΔCt ranging from \u0026ndash; 8.05 (positive controls) to +\u0026thinsp;7.95 (highest- dose group).\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e\u003cp\u003eProbiotic supplementation attenuates \u003cem\u003eS. typhimurium\u003c/em\u003e virulence by suppressing \u003cem\u003einvA\u003c/em\u003e expression in vivo, highlighting its potential application as a prophylactic strategy against \u003cem\u003eSalmonellosis\u003c/em\u003e. This findings emphasize probiotic-based interventions as a promising adjunct approaches in AMR mitigation.\u003c/p\u003e","manuscriptTitle":"Molecular and functional insights into probiotic interference with Salmonella typhimurium invA virulence gene expression","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-12-08 12:58:52","doi":"10.21203/rs.3.rs-8276466/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"de3f99d1-3b7c-42c7-b8ca-ac8462ababfc","owner":[],"postedDate":"December 8th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":59073596,"name":"General Microbiology"}],"tags":[],"updatedAt":"2025-12-08T12:58:52+00:00","versionOfRecord":[],"versionCreatedAt":"2025-12-08 12:58:52","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8276466","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8276466","identity":"rs-8276466","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}