Cardiorespiratory fitness in children with overweight/obesity: Insights into the molecular mechanisms
Metadata
Show full item recordEditorial
Wiley-Blackwell Publishing
Materia
Aerobic fitness Childhood Gene expression RNA-Seq Transcriptome
Date
2021-08-01Referencia bibliográfica
Plaza-Florido, A... [et al.]. Cardiorespiratory fitness in children with overweight/obesity: Insights into the molecular mechanisms. Scand J Med Sci Sports. 2021; 00: 1– 9. [https://doi.org/10.1111/sms.14028]
Sponsorship
Spanish Ministry of Economy and Competitiveness DEP2013-47540 DEP2016-79512-R DEP2017-91544-EXP; Spanish Ministry of Economy, Industry and Competitiveness (MINECO); European Commission RYC-2016-21199; ENDORE SAF2017-87526-R; Junta de Andalucia BIO-302 US-1254251; University of Jaen PAIUJA-EI_CTS02; Spanish Ministry of Education, Culture and Sport FPU 16/02760; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA UO1 TR002004; PERC Systems Biology Fund; Unit of Excellence on EXERNET Research Network on Exercise and Health in Special Populations; Alicia Koplowitz Foundation; Henning Och Johan Throne-Holsts Stiftelse Grant; University of Granada; Unit of Excellence on Exercise and Health (UCEES); Junta de Andalucia, Consejeria de Conocimiento, Investigacion y Universidades and European Regional; Development Fund (ERDF) SOMM17/6107/UGR European Commission B-CTS-355-UGR18 B-CTS-500-UGR18; Universidad de Granada/CBUAAbstract
Objectives: High cardiorespiratory fitness (CRF) levels reduce the risk of developing
cardiovascular disease (CVD) during adulthood. However, little is known
about the molecular mechanisms underlying the health benefits of high CRF levels
at the early stage of life. This study aimed to analyze the whole-blood
transcriptome
profile of fit children with overweight/obesity (OW/OB) compared to
unfit children with OW/OB.
Design: 27 children with OW/OB (10.14 ± 1.3 years, 59% boys) from the
ActiveBrains project were evaluated. VO2peak was assessed using a gas analyzer,
and participants were categorized into fit or unfit according to the CVD risk-related
cut-points.
Whole-blood
transcriptome profile (RNA sequencing) was
analyzed. Differential gene expression analysis was performed using the limma
R/Bioconductor software package (analyses adjusted by sex and maturational
status), and pathways’ enrichment analysis was performed with DAVID. In addition,
in silico validation data mining was performed using the PHENOPEDIA
database.
Results: 256 genes were differentially expressed in fit children with OW/OB
compared to unfit children with OW/OB after adjusting by sex and maturational
status (FDR < 0.05). Enriched pathway analysis identified gene pathways
related to inflammation (eg, dopaminergic and GABAergic synapse pathways).
Interestingly, in silico validation data mining detected a set of the differentially
expressed genes to be related to CVD, metabolic syndrome, hypertension, inflammation,
and asthma. Conclusion: The distinct pattern of whole-blood
gene expression in fit children
with OW/OB reveals genes and gene pathways that might play a role in reducing
CVD risk factors later in life.