Evidence map›Paper›PMID 26216961›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Microbiota regulates type 1 diabetes through Toll-like receptors.

Michael P Burrows, Pavel Volchkov, Koichi S Kobayashi, Alexander V Chervonsky

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 1 pooled it
14.8field-weighted citation impact, top 1% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

101 citing papers in PubMed, 1 synthesis or guideline pooled it, 171 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. [Gut microbiota dysbiosis in type 1 diabetes mellitus: Impacts, mechanisms, and interventions].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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  12. Advancing Animal Models of Human Type 1 Diabetes.Cold Spring Harbor perspectives in medicine · 2024
    Review
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41 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

Michael P BurrowsDepartment of Pathology and Committee on Immunology, University of Chicago, Chicago, IL 60637;
Pavel VolchkovDepartment of Pathology and Committee on Immunology, University of Chicago, Chicago, IL 60637;
Koichi S KobayashiDepartment of Microbial Pathogenesis and Immunology, Texas A&M Health Science Center, College Station, TX 77843.
Alexander V ChervonskyDepartment of Pathology and Committee on Immunology, University of Chicago, Chicago, IL 60637; achervon@bsd.uchicago.edu.
University of Chicago · USTexas A&M Health Science Center · US

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI LIU, CAMBRIAN YANGSHAO · 1990 to 2025
$29.8M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Type 1 diabetes: the role of commensal microbiotaR01AI082418 · NIAID · UNIVERSITY OF CHICAGO · PI CHERVONSKY, ALEXANDER V · 2010 to 2020
$4.3M
Re-Engineering Translational Research at the University of ChicagoTL1TR000432 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$289k
NCATS NIH HHS TL1 TR000432NCATS NIH HHS TL1TR000432NCATS NIH HHS UL1 TR000430NIAID NIH HHS AI082418NIAID NIH HHS R01 AI082418NIDDK NIH HHS DK42086NIDDK NIH HHS P30 DK042086
6 · The paper itself

Abstract

Deletion of the innate immune adaptor myeloid differentiation primary response gene 88 (MyD88) in the nonobese diabetic (NOD) mouse model of type 1 diabetes (T1D) results in microbiota-dependent protection from the disease: MyD88-negative mice in germ-free (GF), but not in specific pathogen-free conditions develop the disease. These results could be explained by expansion of particular protective bacteria ("specific lineage hypothesis") or by dominance of negative (tolerizing) signaling over proinflammatory signaling ("balanced signal hypothesis") in mutant mice. Here we found that colonization of GF mice with a variety of intestinal bacteria was capable of reducing T1D in MyD88-negative (but not wild-type NOD mice), favoring the balanced signal hypothesis. However, the receptors and signaling pathways involved in prevention or facilitation of the disease remained unknown. The protective signals triggered by the microbiota were revealed by testing NOD mice lacking MyD88 in combination with knockouts of several critical components of innate immune sensing for development of T1D. Only MyD88- and TIR-domain containing adapter inducing IFN β (TRIF) double deficient NOD mice developed the disease. Thus, TRIF signaling (likely downstream of Toll-like receptor 4, TLR4) serves as one of the microbiota-induced tolerizing pathways. At the same time another TLR (TLR2) provided prodiabetic signaling by controlling the microbiota, as reduction in T1D incidence caused by TLR2 deletion was reversed in GF TLR2-negative mice. Our results support the balanced signal hypothesis, in which microbes provide signals that both promote and inhibit autoimmunity by signaling through different receptors, including receptors of the TLR family.

Indexed as

MicrobiotaAdaptor Proteins, Vesicular TransportAnimalsAnti-Infective AgentsBacteriaDiabetes Mellitus, Type 1Germ-Free LifeIslets of LangerhansMice, Inbred C57BLMice, Inbred NODMyeloid Differentiation Factor 88PhylogenyToll-Like ReceptorsAdaptor Proteins, Vesicular TransportAnti-Infective AgentsMyeloid Differentiation Factor 88Ticam1 protein, mouseToll-Like Receptorscommensal microbiotaToll-like receptorstype 1 diabetes

Identifiers

PMID26216961
PMCPMC4538618
OpenAlexW1929503195

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.