Gut Microbes

Microbiome-based machine learning classifiers show increasing promise for disease identification across gastrointestinal, metabolic, and immune-mediated conditions. Inflammatory bowel disease (IBD), a chronic immune-mediated disorder associated with disruption of the gut microbiome, has been a particularly successful application area. However, while many predictive models achieve high performance within individual datasets, their ability to generalize across independent populations and geographic contexts remains unclear. Here, we tested whether model class and training dataset composition influence model generalizability across geographically diverse evaluation studies. We compiled seven publicly available shotgun metagenomic studies spanning five geographic regions, comprising 697 individuals with IBD or healthy controls. We trained 246,986 model configurations across seven model classes and five distinct training dataset combinations and evaluated top-performing models on independent studies from the USA, Ireland, Germany, Israel and China Extreme gradient boosting and random forest models showed the highest and most consistent performance across training datasets, a ranking that was maintained on independent evaluation studies. However, models trained on geographically diverse datasets did not outperform those trained on USA-only datasets. Instead, model performance was strongly dependent on the evaluation study itself, with consistent differences in achievable accuracy across studies. Despite most models achieving similar AUC scores, there was limited overlap in the key microbial species identified. Furthermore, even for the small set of disease predictive microbes shared between models, the direction of enrichment between IBD or healthy subjects often varied in opposing directions across study populations. These findings suggest that study-specific factors constrain generalization and may help explain the lack of consistent microbiome-based biomarkers for IBD. ImportanceMachine learning models based on the human gut microbiome are increasingly proposed as diagnostic tools for inflammatory bowel disease, but our findings suggest that identifying reliable microbiome biomarkers poses a challenge. Models trained on different datasets often selected different species as important predictors, even when diagnostic performance was similar, indicating that disease-associated microbes may depend strongly on the patient populations studied. Even species repeatedly selected across training datasets frequently showed inconsistent associations with disease, helping explain low agreement across microbiome studies. Importantly, models performed well across new patient groups independent of the geographic diversity present in the training datasets. By identifying microbial species repeatedly selected across datasets, model types, and evaluation studies, we identified a smaller group of more consistent biomarkers, including enrichment of Klebsiella pneumoniae and Erysipelatoclostridium ramosum and depletion of Lachnospiraceae and Alistipes species, which may represent stronger candidates for transferable microbiome markers.

Background Recent mouse model data demonstrate that chronic colonization with toxigenic Clostridioides difficile promotes colonic tumorigenesis via intraluminal toxin B (TcdB), its main virulence factor. In a prior multisite hospital cohort, we found that history of positive tcdB stool testing was associated with increased CRC risk in a dose-dependent manner, though limited by small sample size. We aimed to validate this association in a larger cohort with extended follow-up and greater geographic distribution using the Veterans Health Administration (VHA) Corporate Data Warehouse (CDW). Methods We conducted a retrospective cohort study among adults receiving care through the VA from 2000-2025 who underwent C. difficile testing. Data collected from the VHA CDW and National Death Index (NDI) included demographics, comorbidities, medications, CRC risk factors, and cancer incidence and death. The first C. difficile test date defined cohort entry; individuals with prior CRC were excluded. Ever C. difficile positivity was defined by a positive PCR or EIA results. The number of positive tests (episodes) was also determined to define recurrent positivity. Follow-up time ended at the first occurrence of CRC incidence or mortality, death from other causes, or censor date. Follow-up time was split for individuals who converted from negative to positive, with follow-up time updated accordingly. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) for C. difficile exposure and CRC incidence and mortality after adjustment for confounders. Tests for linear trend and tests for interaction were conducted to assess effect modification by sex and IBD status, while time-lag intervals were evaluated for 1, 3, 5, and 10 years before the outcome. Results Among 806,844 veterans with C. difficile testing, those with positive tests were more likely to be older, male, to have diabetes, to use aspirin, and to have a lower BMI than those with negative tests. Race and IBD prevalence were similar between the groups. There was no overall association between ever C. difficile positivity and CRC incidence (HR = 0.99, 95% CI 0.93-1.05). However, recurrent C. difficile positivity was associated with increased risk in a dose-response manner [2-3 episodes HR = 1.30 (95% CI 1.16-1.47), and >3 episodes HR = 1.58 (95% CI 1.17-2.14) compared to negative tests; ptrend< 0.001]. Further, ever C. difficile positivity was associated with increased CRC mortality risk (HR = 1.21, 95% CI 1.13-1.30; p < 0.001). Recurrent C. difficile positivity was associated with increased mortality risk but was particularly strong for those with >3 episodes among individuals with IBD (HR=3.84, 95% CI 1.98-7.45). In sensitivity analyses, the increased risk of CRC incidence and mortality attenuated beyond 10 years. Conclusion Prior positive C. difficile testing was associated with increased CRC incidence and mortality in a dose-dependent manner, particularly among patients with IBD. These findings extend animal model evidence, epidemiologically establishing C. difficile presence as an independent risk factor for subsequent colorectal tumorigenesis and supporting investigation into recurrent CDI, especially among patients with IBD, as a potential modifiable CRC risk factor.

The gut microbiome is a critical part of host homeostasis, yet its resilience following opioid exposure remains poorly understood. While opioid-induced short-term dysbiosis is well documented, the long-term recovery dynamics following oxycodone remain unclear. This study characterized the temporal dynamics of the fecal microbiota in male C57BL/6J mice following a brief 3-day oxycodone regimen (5mg/kg, BID). 16S rRNA gene sequencing was performed at baseline, day 3, 10, 17, and 70. While acute post-treatment phases (day 3 to 10) showed subtle taxonomic shifts in Clostridium_sensu_stricto_1 and Romboutsia, significant community disruption emerged later. By day 17, beta diversity significantly differed from saline controls (P =0.002). At day 70, both alpha diversity (p=0.02) and beta diversity (P=0.007) remained significantly altered, characterized by enriched Akkermansia and Marvinbryantia alongside depleted Eubacterium_xylanophilum. These findings demonstrate that even brief oxycodone exposure triggers persistent, non-recovering dysbiosis that became detectable only after treatment cessation and persisted through day 70. This suggests that the window for microbiome recovery exceeds two months in mice (equivalent to several human years), highlighting a potential long-term risk for patients prescribed short-term opioid courses. ImportanceShort-term opioid exposure is generally assumed to cause only transient disruption of the gut microbiome. However, the duration of microbiome recovery following clinically relevant opioid treatment remains poorly defined. In this study, we show that a brief three-day course of oxycodone in mice resulted in delayed and persistent alterations in gut microbial community structure that remained detectable for at least 70 days after treatment cessation. Notably, significant divergence in microbial composition emerged weeks after exposure rather than immediately following treatment, suggesting that short-term opioid use may initiate longer-lasting remodeling of the gut microbiome than previously appreciated. These findings highlight the importance of considering extended recovery timelines when evaluating the microbiological consequences of opioid exposure.

Shigella sonnei is a leading cause of bacterial dysentery and a high priority WHO pathogen because of the spread of multidrug resistant strains. Understanding microbiome-Shigella-host interactions during colonization of the gastrointestinal tract, and the development of vaccines have been hampered by the lack of small animal models of shigellosis. Here, we developed a murine model of intestinal colonization with S. sonnei. Pre-treatment of mice with antibiotics disturbed the intestinal microbiome and rendered mice susceptible to high level, gastrointestinal colonization with S. sonnei for over one week. Infection with S. sonnei CS14 harbouring a stable virulence plasmid induced an initial inflammatory response in wild type mice, with weight loss and elevated levels of fecal lipocalin 2; the S. sonnei Type III Secretion System was responsible for this inflammatory response. Expression of O-antigen and Group IV capsule by S. sonnei promoted sustained intestinal colonization, with infected mice developing mucosal and systemic antibody responses predominantly directed at these glycans. Finally, infection with S. sonnei induced a degree of protection against subsequent re-challenge. Overall, this murine model successfully mimics aspects of S. sonnei colonization and should be helpful in understanding how S. sonnei successfully survives within the gastrointestinal tract and competes with the microbiota as well as the evaluation of vaccine candidates.

Lysogens - bacteria harbouring prophages - are prevalent in the human gut microbiota. Nevertheless, factors triggering induction or repression of prophages remain poorly characterized. Here, we studied the involvement of bacteriocins - antibacterials involved in bacteria-bacteria competition - in prophage induction. We screened a collection of 1,768 fecal Escherichia coli isolates for bacteriocin-producing strains and selected 30 to test their capacity to induce a {lambda}-related coliphage. In these, we identified 74 bacteriocin genes and demonstrate that only those coding a DNA-damaging bacteriocin trigger prophage induction. From one strain co-producing an E-type endonuclease colicin and the Mcc1229 microcin, we demonstrate that these colicins induce a broad panel of temperate phage genera. Assessing bacterial competition by pairwise cocultures between an E-type endonuclease-producing strain and a {lambda}-lysogen revealed enhanced prophage induction and increased emergence of new lysogens among the bacteriocin producers. Remarkably, while the {lambda}-lysogen was outcompeted by the E-type endonuclease colicin producer within 6 hours in vitro, both populations were maintained at comparable levels over 10 days in dixenic mice. This work reveals a dual role for DNA-damaging bacteriocins that kill competitors by prophage induction and propagate lysogeny.

BackgroundIgA is the dominant antibody in the human gut and a key regulator of host-microbe interactions. Infants begin to produce IgA at around 6 months old and receive large quantities of IgA via human milk, but technical limitations have prevented species-level characterization of IgA binding in early life. This has left basic knowledge gaps about which species are targeted by IgA in infancy, and how modifiable lifestyle factors like breastfeeding and complementary feeding impact IgA targeting. ResultsHere we adapt Metagenomic Immunoglobulin Sequencing (MIg-Seq) for low-biomass infant fecal samples and apply this optimized protocol to 32 longitudinal samples from 16 infants enrolled in the MINT trial, a four-arm randomized controlled trial comparing meat-based, dairy-based, plant-based, and reference complementary feeding patterns, with fecal sampling at 6 and 12 months (pre and post intervention). Infant IgA targeting mirrors adults at the phylum level, with both age groups showing significantly higher IgA targeting of Pseudomonadota and lower targeting of Bacteroidota relative to other phyla. During the substantial microbiome compositional shifts noted between 6 and 12 months, IgA targeting is significantly more stable than the microbiome itself. Among persistent colonizers, IgA targeting strengthens significantly from 6 to 12 months, with the most pronounced effect observed for Bifidobacterium, a finding robust across all dietary arms and feeding modes. The feeding arm to which infants were enrolled was not significantly associated with IgA binding, but several nutrient-specific associations were discovered. Animal-derived nutrients, particularly cholesterol, are strongly positively correlated with IgA targeting of Bifidobacterium longum, while plant-derived carotenoids are positively associated with IgA targeting of Flavonifractor plautii and Ruminococcus gnavus. ConclusionsThis study introduces an experimental and computational framework for species-level IgA profiling in the infant gut. The progressive strengthening of IgA targeting of Bifidobacterium and other beneficial persistent colonizers suggests a role for IgA in reinforcing beneficial microbes during infancy. The nutrient-specific dietary effects on IgA targeting reveal the immunological consequences of the complementary feeding period, and highlight a contrast between animal-versus plant-based diets. Together, these findings point to early nutritional interventions and IgA-based therapeutics as promising tools for promoting healthy immune-microbiome development.

Ischemic stroke poses a significant medical challenge with limited therapy options, therefore detailed understanding of stroke-associated pathophysiological processes across systems and organs is crucial for further research and identification of novel therapeutic targets. In this manuscript, we provide parallel multi-omic host and gut microbiome characterization on several timepoints (day 1, 7 and 14) in the mouse experimental stroke model (middle cerebral artery occlusion, MCAo). Expanding existing host-derived datasets, we profiled transcriptomes from microglia, brain-infiltrating leukocytes and peripheral leukocytes using single cell RNA sequencing. Our data deliver time-resolved characterization of microglial subtypes and highlight heterogeneous dendritic cell populations as main interaction partners of microglia on all timepoints. In peripheral blood, we did not observe large transcriptomic differences when comparing the immune subsets from MCAo and sham-operated control animals. Here, the neutrophils exhibited most transcriptomic changes on day 1 among all blood leukocytes. Parallel proteomic analysis of 5 intestinal segments (duodenum, jejunum, ileum, caecum and colon) and mesenteric lymph nodes highlighted day 7 as the most important timepoint for changes in the gut-related metabolic pathways especially in the jejunum and colon. Specific hypothesis testing revealed compartmentalized regulation of gut-related immune pathways and proteins related to gut permeability. Finally, gut microbiome analyses (longitudinal metatranscriptomics including day -1, 3, 7, 14, and metagenomics from day 14) highlighted temporally matched changes in microbial gene expression (with day 7 emerging again as the most relevant timepoint), larger overall community perturbations when compared to baseline from day -1 in stroke animals and expansion of facultative anaerobes on day 7. Graphical abstractWe performed longitudinal multi-omic host and gut microbiota profiling from experimental stroke and sham control mice. Our data indicate marked differences in brain-infiltrating leukocytes and microglia already on early timepoints after surgery, whereas stroke-specific changes in gut proteomics, bacterial gene expression and community structure emerge on day 7 after middle cerebral artery occlusion/sham surgery. Created in https://BioRender.com O_FIG O_LINKSMALLFIG WIDTH=169 HEIGHT=200 SRC="FIGDIR/small/727504v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@129eff8org.highwire.dtl.DTLVardef@49c401org.highwire.dtl.DTLVardef@e32b22org.highwire.dtl.DTLVardef@24f6df_HPS_FORMAT_FIGEXP M_FIG C_FIG

Necrotic enteritis (NE), caused by Clostridium perfringens, is a major enteric disease in poultry with substantial economic impact. NE is frequently triggered by co-infection with Eimeria spp., yet the relative contributions of Eimeria and C. perfringens to NE-induced dysbiosis and disease progression remain poorly defined. To address this, Cobb broiler chickens were challenged with Eimeria maxima, C. perfringens, or both, and ileal and cecal microbiota were analyzed using 16S rRNA gene sequencing and shotgun metagenomics. Temporal dynamics of intestinal microbiota shifts were further assessed at multiple time points post-infection. Our findings demonstrate that NE-associated dysbiosis is characterized by enrichment of pathobionts including C. perfringens, Escherichia, and Enterococcus cecorum, along with differential abundance of certain lactic acid-and short chain fatty acid-producing bacteria. Dysbiosis and disease progression were driven by synergistic interactions between E. maxima and C. perfringens, with E. maxima exerting a dominant influence. Notably, E. maxima alone promoted expansion of commensal C. perfringens or closely-related bacteria, even without prior exposure. Metagenomic analysis of the cecal microbiota further revealed a functional shift favoring utilization of host-derived glycans and simple carbohydrates over dietary fibers, in response to E. maxima and NE challenges. This transition coincided with E. maxima-induced epithelial damage, increased mucogenesis, and nutrient malabsorption. NE-associated dysbiosis emerged four days post-E. maxima infection and peaked 2-3 days following C. perfringens challenge. These findings suggest that Eimeria infection creates a permissive intestinal environment for C. perfringens colonization and proliferation, underscoring its pivotal role in NE pathogenesis. IMPORTANCENE is a major health and economic burden in poultry production, primarily driven by C. perfringens and potentiated by Eimeria infection. This study provides critical mechanistic insights into the distinct and synergistic roles of E. maxima and C. perfringens in NE disease progression. We show that Eimeria plays a dominant role in driving NE-associated dysbiosis and disease progression by inducing epithelial damage, inflammation, and nutrient malabsorption, which facilitate C. perfringens colonization, proliferation, and toxin production. Comprehensive characterizations of both structural and functional microbiome shifts revealed that NE-associated dysbiosis is marked by enrichment of facultative pathobionts that favors utilization of host-derived mucins and simple dietary carbohydrates, alongside depletion of strictly anaerobic, fiber-fermenting, SCFA-producing bacteria. These microbial shifts reflect disease progression and offer potential biomarkers for early diagnosis and therapeutic intervention. Our findings lay a foundation for microbiota-based diagnostics and interventions to mitigate NE and other enteric diseases.

Recent evidence suggests that the gut microbiome plays a role in the development and treatment response of pancreatic ductal adenocarcinoma (PDAC). However, the functional impact of tumor location and preoperative biliary stenting (PBS) on microbial composition and metabolism remains poorly understood. In this prospective study, preoperative stool specimens were collected from patients undergoing surgery for PDAC at Heidelberg University Hospital, Germany, between March 2020 and July 2021. Whole-genome shotgun metagenomic sequencing was performed to characterize microbial composition and functional pathways. A total of 63 preoperative stool samples were analyzed, including 40 patients with pancreatic head tumors (63.5%) and 23 with body/tail tumors (36.5%). Microbial community composition differed significantly according to tumor location (Bray-Curtis, p=0.005), with enrichment of Ruminococcus bromii in body/tail tumors. Among patients with pancreatic head tumors, PBS was associated with reduced alpha diversity (Shannon index, p=0.04), depletion of taxa including members of the Eubacteriales and Clostridiales orders as well as the genera Raoultella and Prevotella, and reduced abundance of selected genes involved in secondary bile acid metabolism. PBS was also associated with a higher rate of major postoperative complications according to Clavien-Dindo >3a (28.6% vs 3.8%; p=0.04). These findings suggest that biliary intervention may induce functional dysbiosis characterized by reduced microbial diversity and impaired bile acid metabolism, potentially disrupting host- microbiome crosstalk and contributing to adverse postoperative outcomes in pancreatic cancer.

Background: Heterogeneity in symptom presentation and treatment response in irritable bowel syndrome (IBS) remains poorly understood. The gut microbiota may contribute to this variability, but its role in shaping symptom trajectories and responses to self-management interventions is unclear. Objective: To identify symptom trajectory phenotypes and determine whether gut microbiota composition and function distinguish these phenotypes and predict multidimensional responses to pain self-management interventions in young adults with IBS. Design: Ancillary data analysis from a randomized control trial (NCT03332537). Methods: Participants with longitudinal data (n = 62) were analyzed using longitudinal k-means clustering (KML) based on trajectories of measures in IBS quality of life (QOL), Brief Pain Inventory (BPI), and psychoneurological outcomes (anxiety, applied cognition, depression, fatigue, global health, positive affect, and sleep disturbance) over 12 weeks. Baseline differences between clusters were assessed with Wilcoxon rank-sum tests, and longitudinal changes were evaluated with linear mixed models. Gut microbiota composition and predicted functional pathways were compared between phenotypes. Bayesian Additive Regression Trees (BART) models were used to identify baseline microbial taxa and pathways predictive of longitudinal changes in QOL, BPI pain interference, and severity. Results: Two distinct trajectory-defined response phenotypes were identified: a Constrained Response Phenotype (Phenotype A, n = 35) and an Adaptive Multidomain Response Phenotype (Phenotype B, n = 27). At baseline, Phenotype B showed lower pain severity and interference, but higher levels of anxiety, depression, and fatigue compared to Phenotype A. Over 12 weeks, both phenotypes showed improvements in pain outcomes (all p < 0.05), but only Phenotype B demonstrated broad improvements across psychoneurological domains and QOL (all p < 0.05). Phenotype A exhibited more limited improvements and worsening in several psychoneurological domains. Gut microbiota functional pathways differed between phenotypes, including pathways related to xenobiotic degradation, amino acid metabolism, bile secretion, and immune-related processes (all raw p < 0.05), although these did not remain significant after multiple testing correction. Machine learning models identified distinct, phenotype-specific microbial predictors of intervention response. In Phenotype A, genera such as Alistipes and Sutterella were consistently identified across models, whereas in Phenotype B, predictors included Phascolarctobacterium, Collinsella, and Parabacteroides. Functional pathways also differed between phenotypes, suggesting distinct microbiome-linked mechanisms underlying symptom trajectories and responses to pain interventions. Conclusions: Young adults with IBS exhibit distinct multidimensional response phenotypes that are associated with differential clinical and microbiome profiles. Baseline gut microbiota composition and functional capacity demonstrate phenotype-specific predictive signatures of treatment response, supporting a microbiome-informed framework for stratifying patients and advancing personalized self-management strategies in IBS.

BackgroundParkinsons disease (PD) gut metagenomic studies have repeatedly reported disease-associated shifts in microbial taxa, genes, and pathways. However, the field still lacks transparent trait-level indices that summarize biologically coherent microbial exposures. Curli fibres are extracellular bacterial amyloids produced by several Enterobacteriaceae and related taxa, and they provide a plausible microbiological bridge between gut microbial ecology, epithelial/immune interfaces, and alpha-synuclein-centered gut-brain-axis hypotheses. We introduced Curli Carrier Burden (CCB), a mathematically explicit, taxon-informed index that estimates the aggregate abundance of curated curli-carrier bacterial taxa in processed metagenomic profiles. MethodsA curated curli-carrier candidate panel was converted into an evidence-weighted taxon set. For sample s, CCB was defined as [Formula], where ais is the processed relative abundance of matched curli-carrier taxon i and wi is an evidence weight reflecting curli-carrier confidence. We evaluated CCB in five main PD gut metagenomic evidence streams: Wallen 2022, Integrated-US, Mao Central China, Romano non-Wallen, and DuruIC 2024. Results were interpreted cohort-wise rather than as a formal meta-analysis. ResultsThe CCB framework generated a reproducible sample-level microbial trait variable and enabled cohort-wise comparison of amyloidogenic bacterial burden. Wallen showed discovery-stage PD-associated elevation (724 samples; 31 matched curli taxa; Mann-Whitney p = 0.0020). Integrated-US provided supportive independent evidence (244 samples; 18 matched taxa; p = 0.0079). Mao Central China and DuruIC 2024 showed the same PD-greater-than-control direction by mean and median CCB, although their individual comparisons were not nominally significant. Romano non-Wallen provided a large multi-study analysis (600 samples; 29 matched curli-associated mOTUs taxa), with higher PD mean and median CCB in pooled analysis (p = 0.0036, Cliffs{delta} = 0.137) and cohort-sensitive behavior under study-stratified permutation (p = 0.1974). Additional processed-cohort checks indicated that CCB interpretability depends on taxonomic representation and matched curli-candidate coverage, reinforcing the value of explicit compatibility reporting. ConclusionsCCB is a novel, extensible, microbiology-informed index for quantifying amyloidogenic curli-carrier bacterial burden in processed gut metagenomic profiles. The current results support CCB as a useful exploratory trait-level variable for PD microbiome research and provide a principled route toward future raw-read, csg-operon, strain-resolved, and phenotype-aware studies of the curli-vagal PD axis.

Probiotic research is constrained by three pervasive yet insufficiently challenged assumptions: the requirement for a minimum of one billion colony-forming units for efficacy, the necessity for gut colonization, and the inherent superiority of live over inactivated preparations. This study addresses these gaps through a fully factorial experimental design evaluating ten Gram-positive probiotic strains in both viable (Active Fluorescent Units, AFU) and heat-inactivated (Total Fluorescent Units, TFU) forms across three flow cytometry-verified concentrations (105, 106, 107 cells/well per ISO 19344:2015) in primary human peripheral blood mononuclear cells (PBMC) from a single healthy male Caucasian donor (58 years), with simultaneous quantification of 17 cytokines by BioPlex suspension array. Viable preparations induced profoundly greater absolute cytokine responses than heat-inactivated preparations across 14 of 17 analytes, heat-inactivated preparations demonstrated stronger dose-response correlations (mean within-strain Spearman {rho} up to 1.00) for 13 of 17 cytokines, a finding we attribute to the uncontrolled proliferation of live bacteria during 24-hour co-culture compressing the effective concentration range. Six of ten viable strains exhibited monotonically increasing profiles; two strains displayed non-monotonic bell-shaped kinetics with peak activity at 106 AFU/well and significant attenuation at 107, directly falsifying the assumption that dose escalation uniformly increases immunological activity. MCP-1 was the sole cytokine showing no significant difference between viability states (p = 0.61, fold-change 1.1), providing an internal methodological control. In this single-donor model, unsupervised hierarchical clustering identified three immunological phenotype clusters, requiring multi-donor validation before these groupings can be treated as generalizable biological phenotypes, with Random Forest classification achieving 86.7% internal partition-recovery consistency (clusters derived from the same data; not an estimate of generalization to novel strains) versus 33.3% chance; In this single-donor experiment, IL-13, IL-12p70, and IFN-{gamma}, not IL-6 or IL-1{beta}, were the primary discriminators of strain identity; generalizability of this ranking requires multi-donor validation. Heat-inactivated preparations achieved [&ge;]70% functional equivalence relative to viable preparations at 107 TFU/well for the majority of responsive strains (Functional Equivalence Dose, FED70), while one strain remained immunologically inert in heat-inactivated form across all concentrations, a finding subject to the caveat that no positive control stimulus was included to formally verify PBMC functional competence on the experimental day. These findings establish a methodological framework integrating flow cytometric standardization, multiplex immunophenotyping, and machine learning for evidence-based dose characterization, postbiotic functional equivalence assessment, and data-driven strain classification in probiotic research (all p-values are descriptive within a single-donor experimental context). CONTRIBUTION TO THE FIELDThe probiotic field faces a structural paradox: products are commercialized at doses spanning three orders of magnitude without any functional evidence anchoring a specific concentration to a specific immunological outcome, and existing colony-forming unit (CFU)-based quantification methodology is inherently inapplicable to the growing category of heat-inactivated postbiotic preparations. This study addresses both gaps simultaneously and introduces a third layer of novelty -- machine learning-based functional classification of probiotic strains by their cytokine-induction phenotype -- for which no published precedent exists in the literature. By systematically characterizing ten Gram-positive probiotic strains in both viable and heat-inactivated forms across three concentration levels (105, 106, 107 cells/well) using flow cytometric input standardization (Active Fluorescent Units/Total Fluorescent Units per ISO 19344:2015) and a 17-plex BioPlex cytokine readout in primary human PBMC from a single healthy donor, this work provides the first systematic multi-strain dose-response immunophenotyping dataset for Gram-positive probiotic strains. Three distinct immunological phenotype clusters are identified, including non-monotonic bell-shaped kinetics in two strains and near-complete immunological inertness in the heat-inactivated form of one strain, establishing that dose-response shape and thermal inactivation sensitivity are strain-intrinsic properties that cannot be generalized across species or formulations. Data-driven hierarchical clustering of cytokine fingerprints identified three candidate functional phenotype groups, internally re-recovered by Random Forest with 86.7% Leave-One-Out consistency -- an internal partition-recovery metric that requires external validation on independent strain cohorts before the groups can be treated as generalizable biological phenotypes. Seventeen cytokines were quantified simultaneously via Bio-Plex multiplex immunoassay. Live bacteria induced significantly greater responses across 14 of 17 cytokines, with tumor necrosis factor-alpha showing a 356.9-fold increase compared to heat-inactivated preparations. However, heat-inactivated bacteria exhibited stronger dose-dependency (Spearman rho up to 0.70), suggesting a more faithful representation of true dose-response relationships unconfounded by bacterial proliferation during co-culture. Strain-specific profiling revealed three distinct immunomodulatory phenotypes emerging entirely from data-driven analysis without prior functional annotation.

Quorum sensing (QS) influences biofilm formation, persistence and stress adaptation in Salmonella enterica. Although Salmonella does not synthesise acyl-homoserine lactones (AHLs), it can detect exogenous AHLs through the LuxR homolog SdiA, allowing it to respond to interspecies signalling cues in polymicrobial environments. This study investigated whether external QS stimulation and quorum-modulatory compounds reshape biofilm-associated transcriptional programmes in S. enterica serovar Enteritidis (SE) and S. Typhimurium ST14028. Biofilm formation was assessed using the crystal violet assay, while expression of QS-, biofilm-, adhesion-, motility- and invasion-associated genes (sdiA, csgD, flgG, fimA, rck, invA, bapA and hilA) was quantified using multiplex RT-qPCR and analysed by the {Delta}{Delta}Ct method, with 16S rRNA used for normalisation. In parallel, molecular docking was used to explore the predicted interaction of C8-HSL, established quorum-quenching agents and selected phytochemicals with the Salmonella SdiA ligand-binding region. Exposure to exogenous C8-HSL increased biofilm biomass and induced coordinated upregulation of QS- and biofilm-associated genes in both serovars, supporting the role of external AHL sensing in Salmonella biofilm regulation. In contrast, farnesol and furanone produced broad transcriptional repression accompanied by reduced biofilm biomass. Selected natural products, including epigallocatechin gallate (EGCG), thymoquinone, garlic extract, turmeric extract and aloe-emodin, produced moderate antibiofilm effects and partial downregulation of QS-associated transcriptional responses, suggesting possible interference with biofilm-regulatory signalling pathways. Molecular docking further supported this interpretation by identifying potential interactions between selected quorum-modulatory compounds and the predicted SdiA binding region, providing a plausible mechanistic basis for their observed biological effects. Notably, responses differed between SE and ST14028, indicating strain-dependent sensitivity to QS stimulation and quorum-modulatory treatments. Collectively, these findings suggest that exogenous AHL sensing contributes to strain-dependent transcriptional reprogramming of Salmonella biofilm-associated genes and that selected phytochemicals may act as preliminary quorum-modulatory candidates. This study supports further investigation of SdiA-mediated signalling as an anti-virulence target for reducing Salmonella persistence in food-associated and clinical environments.

Background and Aims: Diet plays a critical role in managing Crohns disease (CD) inflammation. We assessed whether dietary replacement of animal protein (AnimalP) by soy-pea protein (SoyP) decreases the pro-inflammatory potential of gut microbiota and intestinal inflammation in CD patients. Design: In an open-label, randomized controlled feeding trial at University Hospitals Cleveland Medical Center, CD participants and healthy controls were randomized (1:1) to a soy-pea or animal protein diet for 7-days. Primary outcomes were the absolute difference (d7-d0) in; Crohns Disease Activity Index (CDAI) score and fecal myeloperoxidase (MPO). Secondary outcomes included fecal calprotectin (FC) and high-sensitivity C-reactive protein (hsCRP). Murine fecal transplantation experiments were performed to determine the inflammatory potential of diet-altered gut microbiota. Results: The study randomized 66 participants and 60 were included in the final analysis (n=31 CD, n=29 HC). After 7 days, CD-SoyP participants were more likely than CD-AnimalP to show reductions in HBI (RR=4.68, 95% CI: 1.22-17.98, P=0.009) and fecal MPO (RR=2.30, 95% CI: 1.04-4.85, P=0.032), with a similar directional trend for CDAI (RR=1.52, 95% CI: 0.89-2.58, P=0.135). No participants experienced worsening of CDAI. The rank-based composite CDAI-MPO score was lower in the CD-SoyP vs CD-AnimalP group (median [IQR]: 5 [4-6] vs 8 [7-9]; P=0.012). Stratified analyses showed significant reductions in fecal MPO among CD participants with lower baseline disease activity (CDAI <150; P<0.0001), but not in those with higher activity (P=0.799) Conclusion: Short-term addition of plant-based soy-pea protein within a controlled diet exerted a beneficial, anti-inflammatory effect in CD, with evidence of greater effects among participants with lower baseline disease activity. ClinicalTrials.gov, Number NCT04065048.

Burkholderia cepacia (B. cepacia) is an opportunistic pathogen with versatile virulence mechanisms. The pathogenesis of B.cepacia in the immunocompetent host following intranasal exposure largely remains ambiguous. Male BALB/c mice were intranasally inoculated with B. cepacia strain 20209 (1x10{square} CFU) and evaluated on days 3, 7, 14, and 21 post-infection. Histopathology of lung, liver, spleen, and kidney tissues were performed using H&E and PAS staining. Plasma cytokines were quantified using commercial multiplex assays and ELISA. Matrix metalloproteinase-2 (MMP-2) activity was assessed via gelatin zymography and metabolomic profiling by high-resolution mass spectrometry (HRMS). Histopathological analysis revealed organ-specific pathological indices such as interstitial pneumonitis, bronchitis, leukocyte infiltration, hepatic inflammation, as well as splenic hyperplasia. Similarly, MMP-2 activity revealed time-dependent modulation, reflecting dynamic proteolytic responses. Plasma and tissue IL-18 and IL-1{beta} levels demonstrated a temporal regulation, with IL-18 peaking on day 7 post-infection, while IL-1{beta} showed a biphasic expression peaking on day 3 and 14. Untargeted metabolomics revealed differential expression of lipid metabolism, and energy pathways, with higher expression of phospholipids and sphingolipids. Together, our study portrayed a physiologically relevant intranasal BALB/c model that captures both localized and systemic inflammatory responses to B. cepacia. Our findings highlight organ-specific pathologic progression and sustained inflammation providing key insights into host-pathogen interactions.

Dietary and lifestyle microbiome interventions often produce mild but heterogeneous remodeling rather than uniform community shifts. In this setting, scalar diversity or group-level summaries can appear weak or inconclusive even when participants move in organized but magnitude-limited directions, or move substantially in divergent directions. We developed a response-geometry framework that jointly describes baseline-referenced response magnitude and cross-participant directional coherence within a compositional feature space. The framework complements diversity, ordination, trajectory, PERMANOVA, PERMDISP, and beta-diversity analyses by asking whether paired responses differ in size, shared direction, or both. MethodsA response vector for each participant was defined as the follow-up minus baseline profile after adding a 0.5 pseudocount and applying centered log-ratio transformation in Aitchison-based response space. Response magnitude was the Euclidean length of this vector. Directional coherence was quantified as cosine alignment between participant-level response vectors and the mean group response vector, with sign-flip permutations as a paired-structure-preserving diagnostic null. We evaluated the framework using workflow-sensitive diversity comparisons, 198,000 logistic-normal compositional simulations with 100 or 500 features and small-to-large shared-direction effects, public-data-derived implementation stress tests, a synbiotic and dietary-intervention cohort, and a fiber/fermented-food application in 16S rRNA gene amplicon and shotgun-derived CAZyme gene-family feature spaces. A beta research-preview repository accompanying the preprint is available at https://github.com/carolyyszeto/microbiome-response-interpreter-beta as v6.5-beta, including documented scripts, a toy dataset, environment notes, output-interpretation guidance, and exploratory implementation utilities. ResultsWorkflow comparisons showed that richness-sensitive differences were concentrated in rare-tail and low-abundance structure, informing the analytical feature-space context for response interpretation. In simulations, null and magnitude-only random-direction scenarios showed near-null detection rates of 0.061 and 0.062, close to nominal alpha = 0.05, whereas shared-direction scenarios showed increasing coherence with stronger effects and larger sample sizes. Mixed-responder and opposing-subgroup scenarios attenuated or cancelled pooled coherence, supporting separation between response magnitude and directional organization. The synbiotic and dietary-intervention cohort showed modest, heterogeneous displacement with limited within-arm coherence, with permutation p values from 0.575 to 0.653. In the fiber/fermented-food application, fermented-food exposure showed stronger 16S response organization than the baseline-period reference, while CAZyme estimates used non-identical sampling endpoints and remained feature-space-specific. ConclusionsThis response-geometry framework helps distinguish paired microbiome movement size from shared response orientation. It is intended as an interpretively cautious response-organization descriptor for mild, heterogeneous intervention settings, not as a replacement for existing multivariate methods. Its interpretation depends on sample size, effect structure, endpoint alignment, zero handling, group-direction stability, and feature-space definition. The framework does not convert weak, null, endpoint-limited, or sensitivity-dependent findings into efficacy, predictive, or mechanistic claims.

Salmonella spp. remains one of the leading foodborne pathogens worldwide, and the circulation of multidrug-resistant strains in the poultry industry poses a significant challenge. In this study, five isolates from poultry litter swabs (commercial broiler chickens) belonging to the Salmonella Heidelberg and Salmonella Minnesota serovars were characterized using an integrated approach involving phenotypic resistance profiling, whole-genome sequencing, structural prioritization of molecular targets, and in silico screening of ligands. All isolates exhibited multidrug resistance phenotypes and genetic repertoires consistent with resistance to {beta}-lactams, sulfonamides, and tetracyclines, as well as determinants linked to efflux systems, virulence, and persistence. Genomic analysis allowed for the prioritization of five proteins for structural investigation: CTX-M-2, CMY-2, Sul2, AcrB, and SpvC. Sequence-structure validation revealed high correspondence between the proteins of the isolates and the experimental structures selected for CMY-2, Sul2, AcrB, and SpvC, while CTX-M-2 was modeled with high structural confidence. Molecular docking analyses with GNINA revealed distinct behaviors among the targets. Sul2 showed biological relevance but a more conservative structural response, with no significant gain after analog generation. In contrast, AcrB stood out as the most promising target, with analogs generated by BRICS yielding better scores and, in some cases, coherent international networks identified by PLIP. The results demonstrate that the integration of phenotype, comparative genomics, and structural prioritization constitutes a rational strategy for selecting targets and molecular candidates in multidrug-resistant avian strains of S. Heidelberg and S. Minnesota.

Objectives: The Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet has been associated with the risk of IBD, but its impact on clinical outcomes is uncertain. This study evaluated the association between MIND diet adherence and the risk of IBD-related surgery in a prospective cohort. Methods: This study included 2,288 participants with diagnosis of Crohn's disease (CD, n=777) or ulcerative colitis (UC, n=1,511) who completed valid WebQ 24-hour dietary recall from the UK Biobank. Dietary adherence was derived from a 15-component score based on 24-hour dietary recalls. Associations with IBD-related surgery were evaluated using Cox proportional hazards models, with nonlinear trends and examined via restricted cubic splines. Effect modification was explored in pre-specified subgroups, and multiple sensitivity analyses were conducted to assess robustness. Results: During 10.9 years of follow-up, 166 incident IBD-related surgery cases occurred. Higher MIND diet adherence was associated with reduced surgical risk. Compared with the lowest tertile of adherence, the highest tertile showed a 36% reduction in surgical risk in IBD (HR 0.64, 95% CI: 0.44-0.94, P = 0.024). Notably, this protective effect was pronounced in patients with CD, exhibiting a clear linear inverse association. In contrast, a reverse J-shaped association was observed in UC, with a steep initial decline in surgical risk followed by a plateau emerging at a MIND score of approximately 5, beyond which further adherence conferred minimal additional benefit. At the component level, higher vegetable consumption and lower intake of butter and fried foods were identified as independent protective factors against surgery. Stronger inverse associations were observed among patients with shorter disease duration and those with complicated disease behavior, including stricturing or penetrating phenotypes (all P interaction < 0.05). Conclusion: Greater MIND diet adherence is associated with reduced IBD-related surgery risk among patients with IBD and CD. These findings support the MIND diet as a feasible dietary strategy to improve IBD prognosis.

Urinary tract infections (UTIs) are the most prevalent bacterial infections globally, and their management increasingly challenged by antimicrobial resistance (AMR). Probiotics offer a promising approach to mitigate AMR by competitively excluding uropathogens and enhancing host immunity by producing immune modulators. Despite being potential, key gaps persist between the discovery of uroprotective probiotic strains and optimization of formulations for urinary tract delivery. Here, we analyzed the urinary microbiome of UTI patients and healthy individuals to identify potential probiotic candidates for the prevention and management of UTIs. Publicly available 16S rRNA amplicon sequencing data of the urinary tract were processed using a standardized pipeline for sequence quality assessment, taxonomic assignment, and microbial function prediction. Comparative analysis showed a significant shift in microbial composition between UTI patients and healthy controls. The dominated phyla identified included Acidobacteriota, Actinobacteriota, Bacteroidota, Campylobacterota, Cyanobacteria, Firmicutes, Fusobacteriota, Patescibacteria, Proteobacteria, and Synergistota. Overall differential abundance analysis revealed Escherichia coli as the predominant UTI-associated species, while Lactobacillus crispatus was enriched in healthy samples. Additionally, predictive functional analysis indicated that metabolic pathways associated with beneficial microbes were enriched in the healthy group. Overall, the study highlights the association of distinct urinary microbiome signatures with infection status, which supports L. crispatus as the most promising probiotic for UTI prevention and control.

Polygenic risk scores (PRSs) can effectively identify individuals at risk across various health conditions, yet their association with the gut microbiome remains uncharacterized. We systematically analyzed associations between 4,794 PRSs covering 615 traits and diseases and the gut microbiome within the Estonian Microbiome Cohort (N > 2,500). Microbiome diversity was associated with 62 distinct PRSs across 10 traits, indicating that genetic predisposition is linked to significant alterations in the microbiome composition. At the species level, 282 associations were identified across 100 PRSs for 34 traits, with triglyceride measurements, glucose regulation, and chronotype measurement PRSs showing the strongest signals. Mediation analysis suggests that the microbiome is altered by physiological changes linked to genetic risk, but can also mediate this risk. These results help define early microbial biomarkers and explain inter-individual variability. The findings are accessible through the interactive Microbiome And Genomic Interaction (MAGI) Catalog to support future research.