ArticleJournal of translational medicine2024
Causal effects of gut microbiota on sepsis and sepsis-related death: insights from genome-wide Mendelian randomization, single-cell RNA, bulk RNA sequencing, and network pharmacology.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.
- Pooled it
- Emerging trends and hotspots in intestinal microbiota research in sepsis: bibliometric analysis.Frontiers in medicine · 2024Pooled it
- Aging-caused the changes of the gut microbiota drive intestinal barrier dysfunction and increase sepsis susceptibility.Gut microbes · 2026Article
- Gut microbiota-immune-metabolic crosstalk in acute lung injury: integrating the gut-lung axis from mechanism to therapeutic targeting.Seminars in immunopathology · 2026Review
- Unveiling Gut Homeostasis Disruption in Sepsis: Towards an Integrated Mechanistic and Translational Roadmap.Cell proliferation · 2026Review
- Next-Generation Sequencing in Pulmonary Fibrosis: Translational Promise and Current Clinical Limitations.Current issues in molecular biology · 2026Review
- Integrative Multi-Omics Analysis Prioritizes Candidate Therapeutic Targets for Primary Open-Angle Glaucoma.International journal of molecular sciences · 2026Article
- Methods for Prioritizing Causal Genes in Molecular Studies of Human Disease: The State of the Art.Genetic epidemiology · 2026Review
- Da Yuan Yin Regulates Gut Microbiota and Improves Intestinal Injury in Sepsis.Food science & nutrition · 2026Article
- Integrating Mendelian randomization and multi-omics analysis unravels gut microbiota-driven metabolic mechanisms in sepsis and identifies diagnostic biomarkers through experimental validation.APL bioengineering · 2026Article
- Narrative review on microbiota and sepsis: the host's betrayal?Internal and emergency medicine · 2026Review
- Gut Microbiota-Non-Coding RNA Axis in Immune Modulation and Disease: From Mechanisms to Clinical Translation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- GSTP1 as a novel protective target in sepsis: evidence from proteome-wide Mendelian randomization and multi-omics analyses.BMC infectious diseases · 2026Article
- Integrated Multi-Omics Analyses Identify TYMP as a Candidate Protective Immunoregulatory Marker in CD4⁺ T Cells During Sepsis.Journal of inflammation research · 2026Article
- Gut barrier-microbiota crosstalk in sepsis: from pathogenesis to potential therapies.Frontiers in immunology · 2026Review
- Gut microbeFrontiers in immunology · 2026Article
- Article
- Article
- Unraveling the Causal Linkages ofBioMed research international · 2026Article
- Metronidazole-mediated gut anaerobe remodeling is associated with transplant rejection.Frontiers in cellular and infection microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundGut microbiota alterations have been implicated in sepsis and related infectious diseases, but the causal relationship and underlying mechanisms remain unclear.
methodsWe evaluated the association between gut microbiota composition and sepsis using two-sample Mendelian randomization (MR) analysis based on published genome-wide association study (GWAS) summary statistics. Sensitivity analyses were conducted to validate the robustness of the results. Reverse MR analysis and integration of GWAS and expression quantitative trait loci (eQTL) data were performed to identify potential genes and therapeutic targets.
resultsOur analysis identified 11 causal bacterial taxa associated with sepsis, with increased abundance of six taxa showing positive causal relationships. Ten taxa had causal effects on the 28-day survival outcome of septic patients, with increased abundance of six taxa showing positive associations. Sensitivity analyses confirmed the robustness of these associations. Reverse MR analysis did not provide evidence of reverse causality. Integration of GWAS and eQTL data revealed 76 genes passing the summary data-based Mendelian randomization (SMR) test. Differential expression of these genes was observed between sepsis patients and healthy individuals. These genes represent potential therapeutic targets for sepsis. Molecular docking analysis predicted potential drug-target interactions, further supporting their therapeutic potential.
conclusionOur study provides insights for the development of personalized treatment strategies for sepsis and offers preliminary candidate targets and drugs for future drug development.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.