Evidence map›Paper›PMID 29960834›Full record

ArticleJournal of autoimmunity2018

TRIF deficiency protects non-obese diabetic mice from type 1 diabetes by modulating the gut microbiota and dendritic cells.

Elke Gülden, Chen Chao, Ningwen Tai, James A Pearson, Jian Peng, Monika Majewska-Szczepanik, Zhiguang Zhou, F Susan Wong, Li Wen

Open access · greenAbstract read
In one paragraph

Article in Journal of autoimmunity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  11. Article
  12. Host gene effects on gut microbiota in type 1 diabetes.Biochemical Society transactions · 2022
    Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Inflammasomes and Type 1 Diabetes.Frontiers in immunology · 2021
    Review
  20. Article
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

9 authors at 4 institutions in 4 countries.

Elke GüldenSection of Endocrinology, School of Medicine, Yale University, New Haven, CT, 06519, USA.
Chen ChaoSection of Endocrinology, School of Medicine, Yale University, New Haven, CT, 06519, USA; Key Laboratory of Diabetes Immunology, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Ningwen TaiSection of Endocrinology, School of Medicine, Yale University, New Haven, CT, 06519, USA.
James A PearsonSection of Endocrinology, School of Medicine, Yale University, New Haven, CT, 06519, USA.
Jian PengSection of Endocrinology, School of Medicine, Yale University, New Haven, CT, 06519, USA.
Monika Majewska-SzczepanikSection of Endocrinology, School of Medicine, Yale University, New Haven, CT, 06519, USA; Department of Medical Biology, Jagiellonian University Medical College, 31-034, Krakow, Poland.
Zhiguang ZhouKey Laboratory of Diabetes Immunology, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
F Susan WongDiabetes Research Group, Division of Infection and Immunity, School of Medicine, Cardiff University, Wales, CF14 4XN, UK.
Li WenSection of Endocrinology, School of Medicine, Yale University, New Haven, CT, 06519, USA; Key Laboratory of Diabetes Immunology, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China. Electronic address: li.wen@yale.edu.
Yale University · USCentral South University · CNCardiff University · GBJagiellonian University · PL

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI Kevan C Herold, GERALD I SHULMAN · 1993 to 2026
$44.0M
Role of TLR9 in Beta Cell Function and DiabetesR01DK092882 · NIDDK · YALE UNIVERSITY · PI WEN, LI · 2012 to 2016
$1.8M
Dendritic cells in immuno-metabolic disorder in mouse and manR01DK100500 · NIDDK · YALE UNIVERSITY · PI WEN, LI · 2014 to 2017
$1.4M
Environment, innate immunity and type 1 diabetesR01DK088181 · NIDDK · YALE UNIVERSITY · PI WEN, LI · 2010 to 2013
$1.4M
NIDDK NIH HHS P30 DK045735NIDDK NIH HHS R01 DK088181NIDDK NIH HHS R01 DK092882NIDDK NIH HHS R01 DK100500
6 · The paper itself

Abstract

The incidence of type 1 diabetes (T1D) is determined by both genetic and environmental factors. In recent years, the gut microbiota have been identified to be an important environmental factor that could modify diabetes susceptibility. We have previously shown that Myeloid differentiation primary response gene 88 (MyD88), a major adaptor protein downstream of most innate immune Toll-like receptor (TLR) signaling, is important for mediating diabetes susceptibility in the non-obese diabetic (NOD) mouse model of human T1D. Here we report the role of TIR-domain-containing adapter-inducing interferon-β (TRIF) in T1D development, as TRIF is an important adaptor protein downstream of TLR3 and TLR4 signaling. We found that TRIF-deficient (TRIF

Indexed as

Adaptor Proteins, Vesicular TransportAdoptive TransferAnimalsBacillotaBacteroidetesBurkholderialesCell ProliferationDendritic CellsDiabetes Mellitus, ExperimentalDisease SusceptibilityFemaleGastrointestinal MicrobiomeGene Expression RegulationLymphocyte ActivationMiceMice, Inbred NODAdaptor Proteins, Vesicular TransportMyd88 protein, mouseMyeloid Differentiation Factor 88Ticam1 protein, mouseTLR3 protein, mouseTlr4 protein, mouseToll-Like Receptor 3Toll-Like Receptor 4

Identifiers

PMID29960834
PMCPMC6108920
OpenAlexW2810505485

What OpenQuestion holds

Textmetadata
LicenceTDM
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.