Evidence map›Paper›PMID 24728038›Full record

ArticleHuman molecular genetics2014

TGFBI (βIG-H3) is a diabetes-risk gene based on mouse and human genetic studies.

Bing Han, Hongyu Luo, John Raelson, Jie Huang, Yun Li, Johanne Tremblay, Bing Hu, Shijie Qi, Jiangping Wu

Open access · bronzeAbstract read
In one paragraph

Article in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

26 citing papers in PubMed, 31 citations in OpenAlex.

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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 3 countries.

Bing HanCentre de Recherche and.
Hongyu LuoCentre de Recherche and.
John RaelsonPGX-Services, Montreal, QC, Canada.
Jie HuangDepartment of Genetics and Biostatistics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA and.
Yun LiDepartment of Genetics and Biostatistics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA and.
Johanne TremblayCentre de Recherche and.
Bing HuAmeriPath, Orlando, FL, USA.
Shijie QiCentre de Recherche and.
Jiangping WuCentre de Recherche and Service de Néphrologie, Centre Hospitalier de L'Université de Montréal (CRCHUM), Montréal, QC, Canada, jianping.wu@umontreal.ca.
Directorate-General Joint Research Centre · BEUniversity of North Carolina at Chapel Hill · USCentre Hospitalier de l’Université de Montréal · CAPublic Works and Government Services Canada · CA

Funding

Canadian Institutes of Health Research MOP123389Canadian Institutes of Health Research MOP57697
6 · The paper itself

Abstract

Transforming growth factor beta-induced (TGFBI/βIG-H3), also known as βig-H3, is a protein inducible by TGFβ1 and secreted by many cell types. It binds to collagen, forms part of the extracellular matrix and interacts with integrins on the cell surface. Recombinant TGFBI and transgenic TGFBI overexpression can promote both islet survival and function. In this study, we generated TGFBI KO mice and further assessed TGFBI function and signaling pathways in islets. Islets from KO mice were of normal size and quantity, and these animals were normoglycemic. However, KO islet survival and function was compromised in vitro. In vivo, KO donor islets became inferior to wild-type donor islets in achieving normoglycemia when transplanted into KO diabetic recipients. TGFBI KO mice were more prone to straptozotocin-induced diabetes than the wild-type counterpart. Phosphoprotein array analysis established that AKT1S1, a molecule linking the AKT and mTORC1 signaling pathways, was modulated by TGFBI in islets. Phosphorylation of four molecules in the AKT and mTORC1 signaling pathway, i.e. AKT, AKT1S1, RPS6 and EIF4EBP1, was upregulated in islets upon TGFBI stimulation. Suppression of AKT activity by a chemical inhibitor, or knockdown of AKT1S1, RPS6 and EIF4EBP1 expression by small interfering RNA, modulated islet survival, proving the relevance of these molecules in TGFBI-triggered signaling. Human genetic studies revealed that in the TGFBI gene and its vicinity, three single-nucleotide polymorphisms were significantly associated with type 1 diabetes risks, and one with type 2 diabetes risks. Our study suggests that TGFBI is a potential risk gene for human diabetes.

Indexed as

Genetic Predisposition to DiseaseAnimalsbetaIG-H3 ProteinDiabetes MellitusDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Extracellular Matrix ProteinsHumansIslets of LangerhansIslets of Langerhans TransplantationMaleMiceMice, Inbred C57BLMice, KnockoutPhosphoproteinsPhosphorylationbetaIG-H3 ProteinExtracellular Matrix ProteinsPhosphoproteinsTransforming Growth Factor betaTransforming Growth Factor beta1

Identifiers

PMID24728038
PMCPMC4119410
OpenAlexW2136782079

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.