Cargando…
Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses
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...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316211/ https://www.ncbi.nlm.nih.gov/pubmed/28212624 http://dx.doi.org/10.1186/s12864-017-3571-3 |
_version_ | 1782508808759672832 |
---|---|
author | Mach, Núria Ramayo-Caldas, Yuliaxis Clark, Allison Moroldo, Marco Robert, Céline Barrey, Eric López, Jesús Maria Le Moyec, Laurence |
author_facet | Mach, Núria Ramayo-Caldas, Yuliaxis Clark, Allison Moroldo, Marco Robert, Céline Barrey, Eric López, Jesús Maria Le Moyec, Laurence |
author_sort | Mach, Núria |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3571-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5316211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53162112017-02-24 Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses Mach, Núria Ramayo-Caldas, Yuliaxis Clark, Allison Moroldo, Marco Robert, Céline Barrey, Eric López, Jesús Maria Le Moyec, Laurence BMC Genomics Research Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3571-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-17 /pmc/articles/PMC5316211/ /pubmed/28212624 http://dx.doi.org/10.1186/s12864-017-3571-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Mach, Núria Ramayo-Caldas, Yuliaxis Clark, Allison Moroldo, Marco Robert, Céline Barrey, Eric López, Jesús Maria Le Moyec, Laurence Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses |
title | Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses |
title_full | Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses |
title_fullStr | Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses |
title_full_unstemmed | Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses |
title_short | Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses |
title_sort | understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and mirnomics in horses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5316211/ https://www.ncbi.nlm.nih.gov/pubmed/28212624 http://dx.doi.org/10.1186/s12864-017-3571-3 |
work_keys_str_mv | AT machnuria understandingtheresponsetoenduranceexerciseusingasystemsbiologyapproachcombiningbloodmetabolomicstranscriptomicsandmirnomicsinhorses AT ramayocaldasyuliaxis understandingtheresponsetoenduranceexerciseusingasystemsbiologyapproachcombiningbloodmetabolomicstranscriptomicsandmirnomicsinhorses AT clarkallison understandingtheresponsetoenduranceexerciseusingasystemsbiologyapproachcombiningbloodmetabolomicstranscriptomicsandmirnomicsinhorses AT moroldomarco understandingtheresponsetoenduranceexerciseusingasystemsbiologyapproachcombiningbloodmetabolomicstranscriptomicsandmirnomicsinhorses AT robertceline understandingtheresponsetoenduranceexerciseusingasystemsbiologyapproachcombiningbloodmetabolomicstranscriptomicsandmirnomicsinhorses AT barreyeric understandingtheresponsetoenduranceexerciseusingasystemsbiologyapproachcombiningbloodmetabolomicstranscriptomicsandmirnomicsinhorses AT lopezjesusmaria understandingtheresponsetoenduranceexerciseusingasystemsbiologyapproachcombiningbloodmetabolomicstranscriptomicsandmirnomicsinhorses AT lemoyeclaurence understandingtheresponsetoenduranceexerciseusingasystemsbiologyapproachcombiningbloodmetabolomicstranscriptomicsandmirnomicsinhorses |