Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses

被引:33
|
作者
Mach, Nuria [1 ]
Ramayo-Caldas, Yuliaxis [1 ]
Clark, Allison [2 ]
Moroldo, Marco [1 ]
Robert, Celine [1 ,3 ]
Barrey, Eric [1 ]
Maria Lopez, Jesus [2 ]
Le Moyec, Laurence [4 ]
机构
[1] Univ Paris Saclay, AgroParisTech, INRA, Anim Genet & Integrat Biol Unit GABI, F-78350 Jouy En Josas, France
[2] Open Univ Catalonia, Dept Hlth Sci, Barcelona, Spain
[3] Paris Est Univ, Natl Vet Sch Alfort, Maisons Alfort, France
[4] Evry Val dEssone Univ, UBIAE, Integrat Biol Exercise Adaptat Unit, EA7362, Evry, France
来源
BMC GENOMICS | 2017年 / 18卷
关键词
Endurance exercise; Horse; Metabolome; miRNome; Multiple factor analysis; Regulome; Transcriptome; Systems biology; PHYSICAL-EXERCISE; MESSENGER-RNA; TRAINED MEN; EXPRESSION; MICRORNA; MUSCLE; STRESS; SERUM; MODEL; MICE;
D O I
10.1186/s12864-017-3571-3
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: 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. Results: 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 (baseline, pre-endurance competition). This network provided new insights into the cross talk between the distinct molecular pathways (e.g. energy and oxygen sensing, oxidative stress, and inflammation) that were not detectable when analyzing single metabolites or transcripts alone. Single metabolites and transcripts were carrying out multiple roles and thus sharing several biochemical pathways. Using a regulatory impact factor metric analysis, this regulatory network was further confirmed at the transcription factor and miRNA levels. In an extended cohort of 31 independent animals, multiple factor analysis confirmed the strong associations between lactate, methylene derivatives, miR-21-5p, miR-16-5p, let-7 family and genes that coded proteins involved in metabolic reactions primarily related to energy, ubiquitin proteasome and lipopolysaccharide immune responses after the endurance competition. Multiple factor analysis also identified potential biomarkers at T0 for an increased likelihood for failure to finish an endurance competition. Conclusions: To the best of our knowledge, the present study is the first to provide a comprehensive and integrated overview of the metabolome, transcriptome, and miRNome co-regulatory networks that may have a key role in regulating the metabolic and immune response to endurance exercise in horses.
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页数:17
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