Evidence map›Paper›PMID 39874239›Full record

Observational studyAnnals of the rheumatic diseases2025

Lupus and inflammatory bowel disease share a common set of microbiome features distinct from other autoimmune disorders.

Hao Zhou, Diana Balint, Qiaojuan Shi, Tim Vartanian, Martin A Kriegel, Ilana Brito

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Annals of the rheumatic diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02394964 (The Human Microbiome in Immune-Mediated Diseases), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT02394964 completednot on this map

The Human Microbiome in Immune-Mediated Diseases

TypeobservationalSponsorYale UniversityRan2014 to 2023Enrolled75ConditionsAutoimmuneArmsSample Collection
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hao ZhouMeinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA.
Diana BalintMeinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA.
Qiaojuan ShiMeinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA.
Tim VartanianWeill Cornell Medicine, New York, New York, USA.
Martin A KriegelDepartment of Translational Rheumatology and Immunology, Institute of Musculoskeletal Medicine, Münster, Germany; Section of Rheumatology and Clinical Immunology, University Hospital Münster, Münster, Germany; Cells in Motion Interfaculty Centre, University of Münster, Münster, Germany; Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.
Ilana BritoMeinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA. Electronic address: ibrito@cornell.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Systems-Level Perspectives of Horizontal Gene Transfer Within the Human MicrobiomeDP2HL141007 · NHLBI · CORNELL UNIVERSITY · PI BRITO, ILANA LAUREN · 2017 to 2020
$2.6M
Human Gut Commensal Cross-reactivity in Antiphospholipid SyndromeR01AI118855 · NIAID · YALE UNIVERSITY · PI KRIEGEL, MARTIN A., MEFFRE, ERIC · 2015 to 2019
$2.1M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS DP2 HL141007NIAID NIH HHS R01 AI118855
6 · The paper itself

Abstract

objectivesThis study aims to elucidate the microbial signatures associated with autoimmune diseases, particularly systemic lupus erythematosus (SLE) and inflammatory bowel disease (IBD), compared with colorectal cancer (CRC), to identify unique biomarkers and shared microbial mechanisms that could inform specific treatment protocols.

methodsWe analysed metagenomic datasets from patient cohorts with six autoimmune conditions-SLE, IBD, multiple sclerosis, myasthenia gravis, Graves' disease and ankylosing spondylitis-contrasting these with CRC metagenomes to delineate disease-specific microbial profiles. The study focused on identifying predictive biomarkers from species profiles and functional genes, integrating protein-protein interaction analyses to explore effector-like proteins and their targets in key signalling pathways.

resultsDistinct microbial signatures were identified across autoimmune disorders, with notable overlaps between SLE and IBD, suggesting shared microbial underpinnings. Significant predictive biomarkers highlighted the diverse microbial influences across these conditions. Protein-protein interaction analyses revealed interactions targeting glucocorticoid signalling, antigen presentation and interleukin-12 signalling pathways, offering insights into possible common disease mechanisms. Experimental validation confirmed interactions between the host protein glucocorticoid receptor (NR3C1) and specific gut bacteria-derived proteins, which may have therapeutic implications for inflammatory disorders like SLE and IBD.

conclusionsOur findings underscore the gut microbiome's critical role in autoimmune diseases, offering insights into shared and distinct microbial signatures. The study highlights the potential importance of microbial biomarkers in understanding disease mechanisms and guiding treatment strategies, paving the way for novel therapeutic approaches based on microbial profiles. TRIAL REGISTRATION NUMBER: NCT02394964.

Indexed as

Autoimmune DiseasesGastrointestinal MicrobiomeInflammatory Bowel DiseasesLupus Erythematosus, SystemicBiomarkersColorectal NeoplasmsFemaleHumansMaleMetagenomeMetagenomicsBiomarkersankylosingautoimmune diseaseslupus erythematosusmachine learningspondylitissystemic

Identifiers

PMID39874239
PMCPMC11868722

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.