Full metadata record

DC Field Value Language
dc.contributor.authorPatry, Maeva-
dc.contributor.authorTeinturier, Romain-
dc.contributor.authorGoehrig, Delphine-
dc.contributor.authorZetu, Cornelia-
dc.contributor.authorRipoche, Doriane-
dc.contributor.authorKim, In-San-
dc.contributor.authorBertolino, Philippe-
dc.contributor.authorHennino, Ana-
dc.date.accessioned2024-01-20T05:32:54Z-
dc.date.available2024-01-20T05:32:54Z-
dc.date.created2021-09-03-
dc.date.issued2015-12-
dc.identifier.issn0012-1797-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/124725-
dc.description.abstractbeta ig-h3/TGF-beta i is a secreted protein capable of binding to both extracellular matrix and cells. Human genetic studies recently revealed that in the tgfbi gene encoding for beta ig-h3, three single nucleotide polymorphisms were significantly associated with type 1 diabetes (T1D) risk. Pancreatic islets express beta ig-h3 in physiological conditions, but this expression is reduced in beta-cell insult in T1D. Since the integrity of islets is destroyed by autoimmune T lymphocytes, we thought to investigate the impact of beta ig-h3 on T-cell activation. We show here that beta ig-h3 inhibits T-cell activation markers as well as cytotoxic molecule production as granzyme B and IFN-gamma. Furthermore, beta ig-h3 inhibits early T-cell receptor signaling by repressing the activation of the early kinase protein Lck. Moreover, beta ig-h3-treated T cells are unable to induce T1D upon transfer in Rag2 knockout mice. Our study demonstrates for the first time that T-cell activation is modulated by beta ig-h3, an islet extracellular protein, in order to efficiently avoid autoimmune response.-
dc.languageEnglish-
dc.publisherAMER DIABETES ASSOC-
dc.subjectPROTEIN-
dc.subjectGROWTH-
dc.titlebeta ig-h3 Represses T-Cell Activation in Type 1 Diabetes-
dc.typeArticle-
dc.identifier.doi10.2337/db15-0638-
dc.description.journalClass1-
dc.identifier.bibliographicCitationDIABETES, v.64, no.12, pp.4212 - 4219-
dc.citation.titleDIABETES-
dc.citation.volume64-
dc.citation.number12-
dc.citation.startPage4212-
dc.citation.endPage4219-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000365932900025-
dc.identifier.scopusid2-s2.0-84962163347-
dc.relation.journalWebOfScienceCategoryEndocrinology & Metabolism-
dc.relation.journalResearchAreaEndocrinology & Metabolism-
dc.type.docTypeArticle-
dc.subject.keywordPlusPROTEIN-
dc.subject.keywordPlusGROWTH-
Appears in Collections:
KIST Article > 2015
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE