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Dataset Information

Identifying subgroups of childhood obesity by using multiplatform metabotyping.


ABSTRACT: Introduction: Obesity results from an interplay between genetic predisposition and environmental factors such as diet, physical activity, culture, and socioeconomic status. Personalized treatments for obesity would be optimal, thus necessitating the identification of individual characteristics to improve the effectiveness of therapies. For example, genetic impairment of the leptin-melanocortin pathway can result in rare cases of severe early-onset obesity. Metabolomics has the potential to distinguish between a healthy and obese status; however, differentiating subsets of individuals within the obesity spectrum remains challenging. Factor analysis can integrate patient features from diverse sources, allowing an accurate subclassification of individuals. Methods: This study pr

SUBMITTER: Chamoso-Sanchez D 

PROVIDER: S-EPMC10761426 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature