Venous Thromboembolism and Gut Dysbiosis: Mechanistic Links Between Endotoxemia, Microbial Metabolites, and Thromboinflammation
Abstract
1. Introduction
1.1. Clinical Burden and Unmet Needs in Venous Thromboembolism
1.2. Immunothrombosis as an Extension of Virchow’s Triad
2. Materials and Methods
3. Pathogenetic Gut Bacteria and Dysbiotic Signatures in Chronic Diseases
3.1. Gram-Negative Pathobionts and LPS Structural Heterogeneity
3.2. Barrier Dysfunction and Microbial Translocation
3.3. Chronic Diseases with Elevated VTE Risk as Dysbiosis-Associated States
4. Endotoxemia and Tissue Factor Activation
4.1. LPS–TLR4–NF-κB–Tissue Factor Axis
4.2. Impairment of Anticoagulant and Fibrinolytic Systems
5. Microbiome-Derived Metabolites Converging on a Prothrombotic Milieu
5.1. TMAO and Platelet Hyperreactivity
5.2. Short-Chain Fatty Acids (SCFAs)
5.3. Bile Acids and FXR/TGR5 Signaling
5.4. Emerging Metabolites (PAGln, Indoles)
6. NETs and Complement Amplification
7. Human, Genetic, and Multi-Omics Evidence
8. Microbiome–Anticoagulant Interactions
8.1. Warfarin: Microbiome-Driven Vitamin K Availability and International Normalized Ratio (INR) Variability
8.2. Antibiotic-Associated Dysbiosis: Clinical Evidence of Warfarin Destabilization and Bleeding Risk
8.3. DOACs: Plausible Microbiome Effects on Exposure, but Limited Direct Clinical Evidence
8.4. Translational Implications for VTE Care
9. Translational Perspectives and Future Directions
10. Strengths and Limitations
11. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| ABCA1 | ATP-binding cassette transporter A1 |
| AhR | aryl hydrocarbon receptor |
| AI | artificial intelligence |
| APC | activated protein C |
| C3a | complement component 3a |
| C5a | complement component 5a |
| Ca2+ | calcium |
| CD14 | cluster of differentiation 14 |
| citH3 | citrullinated histone H3 |
| CTEPH | chronic thromboembolic pulmonary hypertension |
| cutC | choline TMA-lyase capacity |
| CYP3A4 | cytochrome P450 3A4 |
| DMB | 3,3-dimethyl-1-butanol |
| DNA | deoxyribonucleic acid |
| DOAC(s) | direct oral anticoagulant(s) |
| DVT | deep vein thrombosis |
| eNOS | endothelial nitric oxide synthase |
| EPCR | endothelial protein C receptor |
| FMO3 | flavin-containing monooxygenase 3 |
| FXR | farnesoid X receptor |
| GPR | G-protein-coupled receptor |
| GPR41 | G protein-coupled receptor 41 |
| GPR43 | G protein-coupled receptor 43 |
| GWAS | genome-wide association study |
| HDAC | histone deacetylase |
| IBD | inflammatory bowel disease |
| IL-1β | interleukin 1 beta |
| IL-6 | interleukin 6 |
| IL-8 | interleukin 8 |
| INR | international normalized ratio |
| IRF3 | interferon regulatory factor 3 |
| LBP | lipopolysaccharide-binding protein |
| LPS | lipopolysaccharide |
| MAPK | mitogen-activated protein kinase |
| MASLD | metabolic dysfunction-associated steatotic liver disease |
| MD-2 | myeloid differentiation protein 2 |
| MR | Mendelian randomization |
| MyD88 | myeloid differentiation primary response 88 |
| NET(s) | neutrophil extracellular trap(s) |
| NF-κB | nuclear factor kappa B |
| Nrf2 | nuclear factor erythroid 2-related factor 2 |
| PAGln | phenylacetylglutamine |
| PAI-1 | plasminogen activator inhibitor 1 |
| PAMPs | pathogen-associated molecular patterns |
| PAR-1 | protease-activated receptor 1 |
| PAR-4 | protease-activated receptor 4 |
| PE | pulmonary embolism |
| P-gp | P-glycoprotein |
| PSGL-1 | P-selectin glycoprotein ligand-1 |
| PTS | post-thrombotic syndrome |
| SCFA(s) | short-chain fatty acid(s) |
| TF | tissue factor |
| TGR5 | Takeda G-protein-coupled receptor 5 |
| TIR | Toll/interleukin-1 receptor |
| TLR4 | Toll-like receptor 4 |
| TMA | trimethylamine |
| TMAO | trimethylamine N-oxide |
| TNF-α | tumor necrosis factor alpha |
| tPA | tissue-type plasminogen activator |
| Treg | regulatory T cell |
| TRIF | TIR-domain-containing adapter-inducing interferon-β |
| uPA | urokinase-type plasminogen activator |
| VKA | vitamin K antagonist |
| VTE | venous thromboembolism |
| ZO | zonula occludens |
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| Study | Dysbiosis-Related Trigger/State | Key Host Pathway/Mediator | Proposed Thromboinflammatory Consequence Relevant to VTE | Evidence Type | Direct Relevance to VTE |
|---|---|---|---|---|---|
| Park et al. 2013 [48] Park et al. 2009 [49] | Gram-negative bacterial LPS as an innate immune trigger | LPS recognition by TLR4–MD-2 → NF-κB signaling | Innate immune activation that may prime proinflammatory and potentially procoagulant vascular and leukocyte phenotypes, providing mechanistic context | Structural/mechanistic; review synthesis | Mechanistic/contextual |
| Needham et al. 2013 [50] Raetz et al. 2002 [51] | Lipid A structural heterogeneity (hexa-acylated vs. underacylated LPS) | Lipid A acylation/phosphorylation tunes TLR4 activation potency | Variable inflammatory signaling intensity, with indirect implications for systemic inflammatory tone relevant to dysbiosis-associated host responses | Mechanistic review/biochemical background | Mechanistic/contextual |
| Levi et al. 2010 [43] Aras et al. 2004 [44] Opal et al. 2003 [32] | Endotoxin exposure (human endotoxemia) | LPS-driven TF induction and coagulation pathway engagement | In vivo activation of coagulation, including increased coagulation activation markers and TF-related activity, supporting biologic plausibility | Human experimental model; mechanistic review | Indirect human/related mechanism |
| Martinod et al. 2014 [35] Brill et al. 2012 [37] Fuchs et al. 2010 [36] | Inflammation-associated NET formation | NET formation as an innate effector response; NET scaffolds support thrombosis-related processes | Enhanced thrombus propagation and thrombosis susceptibility in experimental venous models, with microbiome relevance remaining indirect | Review; experimental venous model (murine DVT) | Experimental venous model |
| Turner 2009 [45] Groschwitz et al. 2009 [56] | Barrier dysfunction (tight junction disruption; cytokine-driven opening) | Claudins/occludin/ZO proteins; cytokine-mediated permeability increase | Increased permeability that may enable systemic translocation of microbial products, including LPS, providing indirect context for thromboinflammatory signaling | Barrier biology review; mechanistic epithelial study | Mechanistic/contextual |
| Fasano 2011 [58] | Zonulin-regulated permeability pathways | Zonulin-mediated modulation of intestinal barrier function | Barrier loosening potentially permissive for greater exposure to luminal microbial components, with indirect relevance to VTE-related pathways | Mechanistic review | Mechanistic/contextual |
| Cani et al. 2007 [46] Cani et al. 2008 [59] | High-fat-diet-associated dysbiosis and “metabolic endotoxemia” | Increased circulating LPS; microbiota-dependent endotoxemia and low-grade inflammation | Chronic low-grade inflammatory activation relevant to thromboinflammatory risk in metabolic disease, but not specific evidence for VTE | Experimental (mouse) | Mechanistic/contextual |
| Pussinen et al. 2011 [47] Wiedermann et al. 1999 [60] | Chronic endotoxemia proxies in populations | LBP as an indirect biomarker of endotoxin exposure | Association with systemic inflammation and cardiometabolic risk, providing indirect human context for thromboinflammatory priming | Prospective population studies | Indirect human/related disease |
| Ageno et al. 2008 [22] Borch et al. 2011 [62] Stein et al. 2005 [61] | Obesity/metabolic syndrome as high-risk states | Systemic inflammatory–metabolic perturbations | Increased incident VTE risk in observational epidemiology, supporting a relevant clinical context rather than a microbiome-specific mechanism | Meta-analysis; prospective cohort | Indirect human/related disease |
| Grainge et al. 2010 [23] Yuhara et al. 2013 [69] Yu 2018 [71] | IBD as dysbiosis-associated inflammatory disease | Dysbiosis, epithelial barrier disruption, and active inflammation | Increased VTE risk, particularly during active disease, in a dysbiosis-associated inflammatory context | Cohort; meta-analysis; microbiome review | Indirect human/related disease |
| Khorana et al. 2008 [73] Abdol Razak et al. 2018 [74] | Malignancy (especially during chemotherapy) | High thrombotic risk captured by prediction models; systemic inflammation | Substantial thrombosis incidence during chemotherapy, supporting a high-risk clinical setting in which thromboinflammatory pathways may be relevant | Clinical prediction model; review | Indirect human/related disease |
| Falanga et al. 2012 [75] Falanga et al. 2015 [24] | Cancer-associated thromboinflammation | Inflammation- and TF-linked procoagulant signaling | Amplified coagulation activation considered relevant to venous thrombogenesis, although not specific to microbiome-driven mechanisms | Mechanistic review | Indirect human/related mechanism |
| Metabolite | Microbial Pathway | Experimental Model(s) | Reported Biological Effect | Hemostatic/Inflammatory Target | Evidence Level | Study |
|---|---|---|---|---|---|---|
| TMAO (platelet/thrombosis axis) | Microbial conversion of choline/phosphatidylcholine to TMA → hepatic FMO3 oxidation to TMAO | Human prospective cohort; murine thrombosis model; ex vivo platelet assays | Elevated plasma TMAO associated with incident cardiovascular events in arterial/cardiometabolic cohorts; enhanced platelet Ca2+ signaling; accelerated thrombosis in murine models | Platelet activation; thrombosis susceptibility (primarily arterial and experimental models) | Human cardiovascular cohort + animal model + ex vivo human platelets; direct human VTE evidence limited and includes a null study | Tang et al. 2013 [114] Zhu et al. 2016 [117] Reiner et al. 2019 [116] |
| TMAO (vascular inflammatory axis) | As above | In vitro vascular cell studies | Activation of MAPK and NF-κB signaling in vascular cells | Vascular inflammatory signaling in non-VTE in vitro settings | In vitro mechanistic study; direct VTE relevance not established | Seldin et al. 2016 [119] |
| PAGln | Microbial metabolism of phenylalanine | Human cardiovascular cohort; murine thrombosis model; ex vivo platelet functional assays | PAGln levels associated with cardiovascular risk; enhanced platelet responsiveness via adrenergic receptor signaling in experimental and cardiovascular settings | Platelet responsiveness and aggregation via adrenergic receptors | Human cardiovascular cohort + animal model + ex vivo platelets; direct VTE relevance not established | Nemet et al. 2020 [132] |
| SCFAs (acetate, propionate, butyrate) | Fermentation of dietary fiber by gut microbiota | Murine models; in vitro immune assays | Promotion of regulatory T-cell differentiation via HDAC inhibition and GPR41/GPR43 signaling | Immune regulation and anti-inflammatory signaling | Animal model + in vitro immune studies; thrombosis relevance indirect | Smith et al. 2013 [123] Koh et al. 2016 [122] |
| Propionate (SCFA subtype) | As above | Murine model of hypertensive cardiovascular injury | Reduced cardiac hypertrophy and vascular dysfunction in a murine cardiovascular model | Vascular function and inflammatory modulation | Animal model; cardiovascular relevance described | Bartolomaeus et al. 2019 [125] |
| Secondary bile acids | Microbial biotransformation of primary bile acids | Mechanistic and biochemical studies | Modulation of FXR- and TGR5-related signaling pathways | Metabolic and inflammatory signaling pathways | Mechanistic review + experimental biochemical studies; direct VTE relevance not established | Ridlon et al., 2006 [128] Li et al. 2014 [129] |
| Indole derivatives | Microbial metabolism of tryptophan | Murine models; mucosal immune assays; mechanistic studies | Activation of AhR signaling; regulation of mucosal immune homeostasis | Barrier integrity and immune regulation | Animal model + mechanistic immunology studies; thrombosis relevance indirect and hypothesis-generating | Zelante et al. 2013 [134] |
| Study | Drug/ Context | Microbiome- Related Mechanism | Potential Clinical Consequence | Evidence Type | Direct Clinical Relevance | Practical Implication |
|---|---|---|---|---|---|---|
| Olson 1984 [175] Conly et al. 1992 [176] Conly et al. 1994 [177] | Warfarin | Bacterial menaquinone production and vitamin K availability | INR variability; altered warfarin sensitivity | Mechanistic; human physiologic | Indirect/mechanistic | Consider microbiome-linked vitamin K perturbation as one possible contributor to unstable INR |
| Conly et al. 1994 [177] Weersma et al. 2020 [173] | Warfarin during antibiotic exposure | Antibiotic-associated dysbiosis and reduced vitamin K2 availability | Increased warfarin sensitivity; overanticoagulation risk | Mechanistic; translational review | Biologically plausible, but not microbiome-specific | Interpret post-antibiotic INR increase as potentially multifactorial, including possible microbiome effects |
| Glasheen et al. 2005 [179] Penning-van Beest et al. 2001 [180] | Warfarin + commonly used antibiotics | Antibiotic-associated VKA destabilization with possible microbiome contribution | Overanticoagulation | Observational; pharmacoepidemiologic | Clinically relevant, but microbiome-specific contribution difficult to isolate | Closer INR surveillance after antibiotic initiation |
| Tilstone et al. 1977 [181] Foster et al. 1999 [182] Saum et al. 2016 [183] | Warfarin + selected antibiotic regimens | Agent-specific antibiotic effects on INR stability | Marked INR elevation; higher bleeding susceptibility | Case reports; comparative clinical | Clinically relevant, but not specifically attributable to microbiome effects | Careful antibiotic selection and intensified INR monitoring |
| Lane et al. 2014 [184] Cunningham et al. 2011 [185] | Warfarin + antibiotic co-prescription | Antibiotic-associated anticoagulation destabilization in routine care | Serious bleeding events | Observational cohort | High clinical relevance, but microbiome-specific contribution uncertain | Early INR evaluation may improve safety in observational studies |
| Holbrook et al. 2012 [172] Ageno et al. 2012 [186] | VKA management | Interacting drugs and anticoagulant instability | Avoidable INR excursions and bleeding | Guideline-based clinical evidence | High clinical relevance, but not microbiome-specific | Proactive monitoring and dose adjustment during antimicrobial exposure |
| Byon et al. 2019 [187] Foerster et al. 2020 [188] Ferri et al. 2022 [189] | DOACs | Possible indirect effects via P-gp and CYP3A4-related pathways | Potential exposure variability | Pharmacokinetic reviews | Limited direct clinical evidence | No basis for microbiome-guided DOAC dose adjustment currently |
| Foley et al. 2021 [190] Gao et al. 2017 [191] Priyamvada et al. 2016 [192] | DOACs in dysbiosis-prone states | Possible effects on barrier integrity, transporter expression, and inflammatory tone | Hypothetical variability in absorption/exposure | Mechanistic; preclinical | Hypothesis-generating | Currently relevant mainly as a research direction |
| Ferri et al. 2022 [189] Sodhi et al. 2020 [193] Gronich et al. 2021 [194] Dempsey et al. 2019 [195] | DOACs: evidence gap | Limited direct microbiome–DOAC clinical evidence | Uncertain clinical significance | Review-based synthesis; indirect clinical evidence | Sparse direct evidence/research gap | Framed as hypothesis and research priority, no established clinical determinant |
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Smółka, L.; Strugała, M.; Blady, K.; Kursa, K.; Pomianowski, B.; Stanek, A. Venous Thromboembolism and Gut Dysbiosis: Mechanistic Links Between Endotoxemia, Microbial Metabolites, and Thromboinflammation. Nutrients 2026, 18, 1231. https://doi.org/10.3390/nu18081231
Smółka L, Strugała M, Blady K, Kursa K, Pomianowski B, Stanek A. Venous Thromboembolism and Gut Dysbiosis: Mechanistic Links Between Endotoxemia, Microbial Metabolites, and Thromboinflammation. Nutrients. 2026; 18(8):1231. https://doi.org/10.3390/nu18081231
Chicago/Turabian StyleSmółka, Leon, Miłosz Strugała, Karolina Blady, Karolina Kursa, Bartosz Pomianowski, and Agata Stanek. 2026. "Venous Thromboembolism and Gut Dysbiosis: Mechanistic Links Between Endotoxemia, Microbial Metabolites, and Thromboinflammation" Nutrients 18, no. 8: 1231. https://doi.org/10.3390/nu18081231
APA StyleSmółka, L., Strugała, M., Blady, K., Kursa, K., Pomianowski, B., & Stanek, A. (2026). Venous Thromboembolism and Gut Dysbiosis: Mechanistic Links Between Endotoxemia, Microbial Metabolites, and Thromboinflammation. Nutrients, 18(8), 1231. https://doi.org/10.3390/nu18081231

