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Identifying metabotypes of insulin resistance severity in children with metabolic syndrome.

Authors :
González-Domínguez Á
Domínguez-Riscart J
Savolainen O
Lechuga-Sancho A
Landberg R
González-Domínguez R
Source :
Cardiovascular diabetology [Cardiovasc Diabetol] 2024 Aug 27; Vol. 23 (1), pp. 315. Date of Electronic Publication: 2024 Aug 27.
Publication Year :
2024

Abstract

Background: Insulin resistance is a frequent precursor of typical obesity and metabolic syndrome complications. However, accurate diagnosis remains elusive because of its pathophysiological complexity and heterogeneity. Herein, we have explored the utility of insulin secretion dynamics in response to an oral glucose tolerance test as a surrogate marker to identify distinct metabotypes of disease severity.<br />Methods: The study population consisted of children with obesity and insulin resistance, stratified according to the post-challenge insulin peak timing (i.e., early, middle, and late peak), from whom fasting and postprandial plasma and erythrocytes were collected for metabolomics analysis.<br />Results: Children with late insulin peak manifested worse cardiometabolic health (i.e., higher blood pressure, glycemia, and HOMA-IR scores) than early responders. These subjects also showed more pronounced changes in metabolites mirroring failures in energy homeostasis, oxidative stress, metabolism of cholesterol and phospholipids, and adherence to unhealthy dietary habits. Furthermore, delayed insulin peak was associated with impaired metabolic flexibility, as reflected in compromised capacity to regulate mitochondrial energy pathways and the antioxidant defense in response to glucose overload.<br />Conclusions: Altogether, these findings suggest that insulin resistance could encompass several phenotypic subtypes characterized by graded disturbances in distinctive metabolic derangements occurring in childhood obesity, which serve as severity predictive markers.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1475-2840
Volume :
23
Issue :
1
Database :
MEDLINE
Journal :
Cardiovascular diabetology
Publication Type :
Academic Journal
Accession number :
39192263
Full Text :
https://doi.org/10.1186/s12933-024-02412-x