Cargando…
Mechanistic Insights Into the Heterogeneity of Glucose Response Classes in Youths With Obesity: A Latent Class Trajectory Approach
OBJECTIVE: 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). RESEARCH DESIGN AND METHODS: Latent class trajectory analysis was used to identif...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346992/ https://www.ncbi.nlm.nih.gov/pubmed/35766976 http://dx.doi.org/10.2337/dc22-0110 |
_version_ | 1784761766250545152 |
---|---|
author | Tricò, Domenico McCollum, Sarah Samuels, Stephanie Santoro, Nicola Galderisi, Alfonso Groop, Leif Caprio, Sonia Shabanova, Veronika |
author_facet | Tricò, Domenico McCollum, Sarah Samuels, Stephanie Santoro, Nicola Galderisi, Alfonso Groop, Leif Caprio, Sonia Shabanova, Veronika |
author_sort | Tricò, Domenico |
collection | PubMed |
description | OBJECTIVE: 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). RESEARCH DESIGN AND METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. |
format | Online Article Text |
id | pubmed-9346992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-93469922022-08-19 Mechanistic Insights Into the Heterogeneity of Glucose Response Classes in Youths With Obesity: A Latent Class Trajectory Approach Tricò, Domenico McCollum, Sarah Samuels, Stephanie Santoro, Nicola Galderisi, Alfonso Groop, Leif Caprio, Sonia Shabanova, Veronika Diabetes Care Pathophysiology/Complications OBJECTIVE: 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). RESEARCH DESIGN AND METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. American Diabetes Association 2022-08 2022-07-26 /pmc/articles/PMC9346992/ /pubmed/35766976 http://dx.doi.org/10.2337/dc22-0110 Text en © 2022 by the American Diabetes Association https://www.diabetesjournals.org/content/licenseReaders may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/journals/pages/license. |
spellingShingle | Pathophysiology/Complications Tricò, Domenico McCollum, Sarah Samuels, Stephanie Santoro, Nicola Galderisi, Alfonso Groop, Leif Caprio, Sonia Shabanova, Veronika Mechanistic Insights Into the Heterogeneity of Glucose Response Classes in Youths With Obesity: A Latent Class Trajectory Approach |
title | Mechanistic Insights Into the Heterogeneity of Glucose Response Classes in Youths With Obesity: A Latent Class Trajectory Approach |
title_full | Mechanistic Insights Into the Heterogeneity of Glucose Response Classes in Youths With Obesity: A Latent Class Trajectory Approach |
title_fullStr | Mechanistic Insights Into the Heterogeneity of Glucose Response Classes in Youths With Obesity: A Latent Class Trajectory Approach |
title_full_unstemmed | Mechanistic Insights Into the Heterogeneity of Glucose Response Classes in Youths With Obesity: A Latent Class Trajectory Approach |
title_short | Mechanistic Insights Into the Heterogeneity of Glucose Response Classes in Youths With Obesity: A Latent Class Trajectory Approach |
title_sort | mechanistic insights into the heterogeneity of glucose response classes in youths with obesity: a latent class trajectory approach |
topic | Pathophysiology/Complications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346992/ https://www.ncbi.nlm.nih.gov/pubmed/35766976 http://dx.doi.org/10.2337/dc22-0110 |
work_keys_str_mv | AT tricodomenico mechanisticinsightsintotheheterogeneityofglucoseresponseclassesinyouthswithobesityalatentclasstrajectoryapproach AT mccollumsarah mechanisticinsightsintotheheterogeneityofglucoseresponseclassesinyouthswithobesityalatentclasstrajectoryapproach AT samuelsstephanie mechanisticinsightsintotheheterogeneityofglucoseresponseclassesinyouthswithobesityalatentclasstrajectoryapproach AT santoronicola mechanisticinsightsintotheheterogeneityofglucoseresponseclassesinyouthswithobesityalatentclasstrajectoryapproach AT galderisialfonso mechanisticinsightsintotheheterogeneityofglucoseresponseclassesinyouthswithobesityalatentclasstrajectoryapproach AT groopleif mechanisticinsightsintotheheterogeneityofglucoseresponseclassesinyouthswithobesityalatentclasstrajectoryapproach AT capriosonia mechanisticinsightsintotheheterogeneityofglucoseresponseclassesinyouthswithobesityalatentclasstrajectoryapproach AT shabanovaveronika mechanisticinsightsintotheheterogeneityofglucoseresponseclassesinyouthswithobesityalatentclasstrajectoryapproach |