Mechanistic Insights Into the Heterogeneity of Glucose Response Classes in Youths With Obesity: A Latent Class Trajectory Approach.


Journal

Diabetes care
ISSN: 1935-5548
Titre abrégé: Diabetes Care
Pays: United States
ID NLM: 7805975

Informations de publication

Date de publication:
01 08 2022
Historique:
received: 19 01 2022
accepted: 03 05 2022
pubmed: 30 6 2022
medline: 2 8 2022
entrez: 29 6 2022
Statut: ppublish

Résumé

In a large, multiethnic cohort of youths with obesity, we analyzed pathophysiological and genetic mechanisms underlying variations in plasma glucose responses to a 180 min oral glucose tolerance test (OGTT). Latent class trajectory analysis was used to identify various glucose response profiles to a nine-point OGTT in 2,378 participants in the Yale Pathogenesis of Youth-Onset T2D study, of whom 1,190 had available TCF7L2 genotyping and 358 had multiple OGTTs over a 5 year follow-up. Insulin sensitivity, clearance, and β-cell function were estimated by glucose, insulin, and C-peptide modeling. Four latent classes (1 to 4) were identified based on increasing areas under the curve for glucose. Participants in class 3 and 4 had the worst metabolic and genetic risk profiles, featuring impaired insulin sensitivity, clearance, and β-cell function. Model-predicted probability to be classified as class 1 and 4 increased across ages, while insulin sensitivity and clearance showed transient reductions and β-cell function progressively declined. Insulin sensitivity was the strongest determinant of class assignment at enrollment and of the longitudinal change from class 1 and 2 to higher classes. Transitions between classes 3 and 4 were explained only by changes in β-cell glucose sensitivity. We identified four glucose response classes in youths with obesity with different genetic risk profiles and progressive impairment in insulin kinetics and action. Insulin sensitivity was the main determinant in the transition between lower and higher glucose classes across ages. In contrast, transitions between the two worst glucose classes were driven only by β-cell glucose sensitivity.

Identifiants

pubmed: 35766976
pii: 147147
doi: 10.2337/dc22-0110
pmc: PMC9346992
doi:

Substances chimiques

Blood Glucose 0
Insulin 0
Glucose IY9XDZ35W2

Banques de données

figshare
['10.2337/figshare.19859200']
ClinicalTrials.gov
['NCT01967849']

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1841-1851

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK114504
Pays : United States
Organisme : NIMHD NIH HHS
ID : R01 MD015974
Pays : United States
Organisme : NICHD NIH HHS
ID : K24 HD001464
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK045735
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD028016
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD040787
Pays : United States
Organisme : NCRR NIH HHS
ID : UL1 RR024139
Pays : United States
Organisme : NIDDK NIH HHS
ID : K12 DK094714
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK111038
Pays : United States

Informations de copyright

© 2022 by the American Diabetes Association.

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Auteurs

Domenico Tricò (D)

Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.

Sarah McCollum (S)

Department of Pediatrics, Yale University School of Medicine, New Haven, CT.

Stephanie Samuels (S)

Department of Pediatrics, Yale University School of Medicine, New Haven, CT.

Nicola Santoro (N)

Department of Pediatrics, Yale University School of Medicine, New Haven, CT.
Department of Medicine and Health Sciences, "V. Tiberio" University of Molise, Campobasso, Italy.

Alfonso Galderisi (A)

Pediatric Endocrinology, Hôpital Necker-Enfants Malades, Paris, France.

Leif Groop (L)

Department of Clinical Sciences, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden.

Sonia Caprio (S)

Department of Pediatrics, Yale University School of Medicine, New Haven, CT.

Veronika Shabanova (V)

Department of Pediatrics, Yale University School of Medicine, New Haven, CT.

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Classifications MeSH