Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity
Metadatos
Mostrar el registro completo del ítemAutor
Bustos Aibar, Mireia; Aguilera García, Concepción María; Alcalá Fernández, Jesús; Ruiz Ojeda, Francisco Javier; Plaza Díaz, Julio; Plaza Florido, Abel Adrián; Gacto Colorado, María José; Anguita Ruiz, AugustoEditorial
Elsevier
Materia
Childhood obesity Gene co-expression Hierarchical clustering Inter-tissue molecular signatures Skeletal muscle tissue Visceral adipose tissue
Fecha
2023-06-14Referencia bibliográfica
M. Bustos-Aibar et al. Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in children with obesity. Computers in Biology and Medicine 163 (2023) 107085[https://doi.org/10.1016/j.compbiomed.2023.107085]
Patrocinador
ERDF/Health Institute Carlos III (grant numbers PI20/00711 and PI20/00563); ERDF/Regional Government of Andalusia/Ministry of Economic Transformation, Industry, Knowledge and Universities (grant numbers P18- RT-2248 and B-CTS-536-UGR20)Resumen
Obesity in children is related to the development of cardiometabolic complications later in life, where
molecular changes of visceral adipose tissue (VAT) and skeletal muscle tissue (SMT) have been proven to
be fundamental. The aim of this study is to unveil the gene expression architecture of both tissues in a cohort
of Spanish boys with obesity, using a clustering method known as weighted gene co-expression network
analysis. For this purpose, we have followed a multi-objective analytic pipeline consisting of three main
approaches; identification of gene co-expression clusters associated with childhood obesity, individually in
VAT and SMT (intra-tissue, approach I); identification of gene co-expression clusters associated with obesitymetabolic
alterations, individually in VAT and SMT (intra-tissue, approach II); and identification of gene
co-expression clusters associated with obesity-metabolic alterations simultaneously in VAT and SMT (intertissue,
approach III). In both tissues, we identified independent and inter-tissue gene co-expression signatures
associated with obesity and cardiovascular risk, some of which exceeded multiple-test correction filters. In these
signatures, we could identify some central hub genes (e.g., NDUFB8, GUCY1B1, KCNMA1, NPR2, PPP3CC)
participating in relevant metabolic pathways exceeding multiple-testing correction filters. We identified the
central hub genes PIK3R2, PPP3C and PTPN5 associated with MAPK signaling and insulin resistance terms. This
is the first time that these genes have been associated with childhood obesity in both tissues. Therefore, they
could be potential novel molecular targets for drugs and health interventions, opening new lines of research on
the personalized care in this pathology. This work generates interesting hypotheses about the transcriptomics
alterations underlying metabolic health alterations in obesity in the pediatric population