Evidence map›Paper›PMID 30094467›Full record

ArticleDiabetologia2018

Toll-like receptor 9 negatively regulates pancreatic islet beta cell growth and function in a mouse model of type 1 diabetes.

Mengju Liu, Jian Peng, Ningwen Tai, James A Pearson, Changyun Hu, Junhua Guo, Lin Hou, Hongyu Zhao, F Susan Wong, Li Wen

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. TLR9: A Double-Dealing Toll-Like Receptor.ImmunoTargets and therapy · 2025
    Review
  6. Review
  7. Frontiers in endocrinology · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Biology · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. The Microbiome in Gastrointestinal Cancers.Gastroenterology clinics of North America · 2022
    Review
  17. Article
  18. Host gene effects on gut microbiota in type 1 diabetes.Biochemical Society transactions · 2022
    Review
  19. Article
  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

10 authors at 3 institutions in 3 countries.

Mengju LiuSection of Endocrinology, Department of Internal Medicine, Yale School of Medicine, Yale University, 300 Cedar Street, New Haven, CT, 06520, USA.
Jian PengSection of Endocrinology, Department of Internal Medicine, Yale School of Medicine, Yale University, 300 Cedar Street, New Haven, CT, 06520, USA.
Ningwen TaiSection of Endocrinology, Department of Internal Medicine, Yale School of Medicine, Yale University, 300 Cedar Street, New Haven, CT, 06520, USA.
James A PearsonSection of Endocrinology, Department of Internal Medicine, Yale School of Medicine, Yale University, 300 Cedar Street, New Haven, CT, 06520, USA.
Changyun HuSection of Endocrinology, Department of Internal Medicine, Yale School of Medicine, Yale University, 300 Cedar Street, New Haven, CT, 06520, USA.
Junhua GuoSection of Endocrinology, Department of Internal Medicine, Yale School of Medicine, Yale University, 300 Cedar Street, New Haven, CT, 06520, USA.
Lin HouJounce Therapeutics Inc., Cambridge, MA, USA.
Hongyu ZhaoDepartment of Bioinformatics, Yale School of Public Health, Yale University, New Haven, CT, USA.
F Susan WongDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK. WongFS@Cardiff.ac.uk.
Li WenSection of Endocrinology, Department of Internal Medicine, Yale School of Medicine, Yale University, 300 Cedar Street, New Haven, CT, 06520, USA. li.wen@yale.edu.
Yale University · USCardiff University · GBChinese PLA General Hospital · CN

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI Kevan C Herold, GERALD I SHULMAN · 1993 to 2026
$44.0M
NIDDK NIH HHS P30 DK045735NIH HHS P30 DK-405735
6 · The paper itself

Abstract

aims/hypothesisInnate immune effectors interact with the environment to contribute to the pathogenesis of the autoimmune disease, type 1 diabetes. Although recent studies have suggested that innate immune Toll-like receptors (TLRs) are involved in tissue development, little is known about the role of TLRs in tissue development, compared with autoimmunity. We aimed to fill the knowledge gap by investigating the role of TLR9 in the development and function of islet beta cells in type 1 diabetes, using NOD mice.

methodsWe generated Tlr9

resultsTLR9 deficiency promoted pancreatic islet development and beta cell differentiation, leading to enhanced glucose tolerance, improved insulin sensitivity and enhanced first-phase insulin secretory response. This was, in part, mediated by upregulation of CD140a (also known as platelet-derived growth factor receptor-α [PDGFRα]). In the absence of TLR9, induced by either genetic targeting or treatment with TLR9 antagonists, which had similar effects on ontogenesis and function of beta cells, NOD mice were protected from diabetes. CONCLUSIONS/

interpretationOur study links TLR9 and the CD140a pathway in regulating islet beta cell development and function and indicates a potential therapeutic target for diabetes prevention and/or treatment.

Indexed as

AnimalsChloroquineDiabetes Mellitus, Type 1FemaleFlow CytometryGlucose Tolerance TestInsulin-Secreting CellsIslets of LangerhansMiceMice, Inbred NODMice, KnockoutMice, Mutant StrainsOligodeoxyribonucleotidesSignal TransductionToll-Like Receptor 9ChloroquineOligodeoxyribonucleotidesToll-Like Receptor 9CD140aDiabetesIslet beta cellPDGFRαTLR9

Identifiers

PMID30094467
PMCPMC6182661
OpenAlexW2887764309

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.