biostudies-literatureMach NNIDDK NIH HHSFonds Eperon and Institut Français du Cheval et de l’Equitation (IFCE)187https://www.ebi.ac.uk/biostudies/studies/S-EPMC5316211biostudies-literatureUnknown18(1)<h4>Background</h4>Endurance exercise in horses requires adaptive processes involving physiological, biochemical, and cognitive-behavioral responses in an attempt to regain homeostasis. We hypothesized that the identification of the relationships between blood metabolome, transcriptome, and miRNome during endurance exercise in horses could provide significant insights into the molecular response to endurance exercise. For this reason, the serum metabolome and whole-blood transcriptome and miRNome data were obtained from ten horses before and after a 160 km endurance competition.<h4>Results</h4>We obtained a global regulatory network based on 11 unique metabolites, 263 metabolic genes and 5 miRNAs whose expression was significantly altered at T1 (post- endurance competition) relative to T0 BMC genomicsUnderstanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses.PMC5316211NAU01 DK097430Barrey ELopez JMRobert CClark AMoroldo MMach NRamayo-Caldas YLe Moyec LfalseUnderstanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses.<h4>Background</h4>Endurance exercise in horses requires adaptive processes involving physiological, biochemical, and cognitive-behavioral responses in an attempt to regain homeostasis. We hypothesized that the identification of the relationships between blood metabolome, transcriptome, and miRNome during endurance exercise in horses could provide significant insights into the molecular response to endurance exercise. For this reason, the serum metabolome and whole-blood transcriptome and miRNome data were obtained from ten horses before and after a 160 km endurance competition.<h4>Results</h4>We obtained a global regulatory network based on 11 unique metabolites, 263 metabolic genes and 5 miRNAs whose expression was significantly altered at T1 (post- endurance competition) relative to T0 2017-01-01T00:00:00Z2017 Feb2026-06-08T03:30:34.81Z2019-06-06T17:02:35ZS-EPMC53162112821262410.1186/s12864-017-3571-3