The longitudinal effect of Diabetes-associated variation in TCF7L2 on islet function in humans.


Journal

Diabetes
ISSN: 1939-327X
Titre abrégé: Diabetes
Pays: United States
ID NLM: 0372763

Informations de publication

Date de publication:
13 Jun 2024
Historique:
received: 22 05 2024
accepted: 05 06 2024
medline: 13 6 2024
pubmed: 13 6 2024
entrez: 13 6 2024
Statut: aheadofprint

Résumé

The T allele at rs7903146 in TCF7L2 increases the rate of conversion from prediabetes to type 2 diabetes. This has been associated with impaired β-cell function and also with defective suppression of α-cell secretion by glucose. However, the temporal relationship of these abnormalities is uncertain. To study the longitudinal changes in islet function, we recruited 128 subjects with 67 homozygous for the diabetes-associated allele (TT) at rs7903146 and 61 homozygous for the protective allele (CC). Subjects were studied on 2 occasions, 3 years apart using an oral 75g glucose challenge. The oral minimal model was used to quantitate β-cell function; the glucagon secretion rate was estimated from deconvolution of glucagon concentrations. Glucose tolerance worsened in people with the TT genotype. This was accompanied by impaired post-challenge glucagon suppression but appropriate β-cell responsivity to rising glucose concentrations. These data suggest that α-cell abnormalities associated with the TT genotype (rs7903146) occur early and may precede β-cell dysfunction in people as they develop glucose intolerance and type 2 diabetes.

Identifiants

pubmed: 38869455
pii: 156847
doi: 10.2337/db24-0192
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 by the American Diabetes Association.

Auteurs

Maya Zeini (M)

Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Marcello C Laurenti (MC)

Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Aoife M Egan (AM)

Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Kalpana Muthusamy (K)

Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Anisha Ramar (A)

Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Emma Vella (E)

Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Kent R Bailey (KR)

Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, USA.

Claudio Cobelli (C)

Department of Women and Children's Health, University of Padova, Padova, Italy.

Chiara Dalla Man (CD)

Department of Information Engineering, University of Padova, Padova, Italy.

Adrian Vella (A)

Division of Endocrinology, Diabetes & Metabolism, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Classifications MeSH