Circulating miRNAs as Biomarkers of Obesity and Obesity-Associated Comorbidities in Children and Adolescents: A Systematic Review
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Oses, Maddi; Sánchez, Javier Margareto; Portillo, Maria; Aguilera García, Concepción María; Labayen, IdoiaEditorial
MDPI
Materia
Childhood obesity Biomarkers miRNAs
Date
2019-11-27Sponsorship
This research was funded by the Spanish Ministry of Industry and Competitiveness (DEP2016-78377-R) and by the European Regional Development Fund (ERDF), M.O. is supported by a grant from the Spanish Ministry of Economy and Competitiveness, grant number; BES-2017-080770 and the APC was funded by additional support from the University of Granada, UGR Research and Knowledge Transfer Fund (PPIT) 2016, Excellence Actions Programme, and Excellence Actions Programe. C.M.A. and I.L.G. are part of the “URG Plan propio de Investigación 2016” and the “Excellence actions: Unit of Excellence on Exercise and Health (UCEES), University of Granada.Abstract
Early detection of obesity and its associated comorbidities in children needs priority for
the development of effective therapeutic intervention. Circulating miRNAs (microRNAs) have been
proposed as biomarkers for obesity and its comorbidities; therefore, we conducted a systematic
review to summarize results of studies that have quantified the profile of miRNAs in children and
adolescents with obesity and/or associated disorders. Nine studies aiming to examine differences
in miRNA expression levels between children with normal weight and obesity or between obese
children with or without cardiometabolic diseases were included in this review. We identified four
miRNAs overexpressed in obesity (miR-222, miR-142–3, miR-140-5p, and miR-143) and two miRNAs
(miR-122 and miR-34a) overexpressed in children with obesity and nonalcoholic fatty liver disease
(NAFLD) and/or insulin resistance. In conclusion, circulating miRNAs are promising diagnostic
biomarkers of obesity-associated diseases such as NAFLD and type 2 diabetes already in childhood.
However, more studies in children, using massive search technology and with larger sample sizes,
are required to draw any firm conclusions.