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Identifying target genes involved in subclinical respiratory disease that develop in athletes: an insight from the horse athlete and the use of microarrays

ABSTRACT: The aim of the present study, using microarrays, was to find hitherto unknown target genes involved in the subclinical respiratory inflammation that are responsible for drop in exercise performance. It is hoped that this may improve understanding of the physiopathological pathways that are responsible for airway inflammation depending of the discipline involved and will likely have a clinical impact on sports medicine, and on the current approach to exercise-based rehabilitation in respiratory disease. Keywords: microarray, subclinical, airway, inflammation, sport, respiratory disease

ORGANISM(S): Equus caballus

PROVIDER: GSE22843 | GEO | 2014/07/01

SECONDARY ACCESSION(S): PRJNA128049

REPOSITORIES: GEO

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Project description:The methylome and transcriptome signatures following exercise that are physiologically and metabolically relevant to sporting contexts such as team sports or health prescription scenarios (e.g. high intensity interval training/HIIT) has not been investigated. To explore this, we performed two different sport/exercise relevant high-intensity running protocols in 5 male sport team members using a repeated measures design of: 1) Change of direction (COD) versus; 2) straight line (ST) exercise with a wash-out period of at least 2 weeks between trials. Skeletal muscle biopsies collected from the vastus lateralis 30 minutes and 24 hours post exercise, were assayed using 850K methylation arrays and a comparative analysis with recent (subject-unmatched) sprint and acute aerobic exercise meta-analysis transcriptomes was performed. Despite COD and ST exercise being matched for classically defined intensity measures (speed x distance and number of accelerations/decelerations), COD exercise elicited greater movement (GPS-Playerload), physiological (HR), metabolic (lactate) as well as central and peripheral (differential RPE) measures compared with ST exercise, suggesting COD exercise evoked a higher exercise intensity. The exercise response alone across both conditions evoked extensive alterations in the methylome 30 mins and 24 hrs post exercise, particularly in MAPK, AMPK and axon guidance pathways. COD evoked a considerably greater hypomethylated signature across the genome compared with ST exercise, particularly at 30 minutes post exercise, enriched in: Protein binding, MAPK, AMPK, insulin, and axon guidance pathways. Comparative methylome analysis with sprint running transcriptomes identified considerable overlap, with 49% of genes that were altered at the expression level also differentially methylated after COD exercise. After differential methylated region analysis, we observed that VEGFA and its downstream nuclear transcription factor, NR4A1 had enriched hypomethylation within their promoter regions. VEGFA and NR4A1 were also significantly upregulated in the sprint transcriptome and meta-analysis of exercise transcriptomes. We confirmed increased gene expression of VEGFA, and considerably larger increases in the expression of canonical metabolic genes, PPARGC1A (that encodes PGC1-α) and NR4A3 in COD vs. ST exercise. Overall, we demonstrate that increased physiological/metabolic load via change of direction exercise in human skeletal muscle evokes considerable epigenetic modifications that are associated with changes in expression of genes responsible for adaptation to exercise.