Summary of Study ST000503

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000380. The data can be accessed directly via it's Project DOI: 10.21228/M8XP4P This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

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Study IDST000503
Study TitleUnderstanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNome in horses
Study SummaryEndurance exercise in horses implies adaptive processes involving affective, physiological, biochemical, and cognitive-behavioral response in an attempt to regain homeostasis. We hypothesized that the identification of the relationships between blood metabolome, transcriptome and miRNome during endurance exercise could provide significant insights into the molecular response to intense exercise or prediction of this response at basal status. In this perspective, the serum metabolome and whole-blood transcriptome and miRNome data were obtained from 10 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. This suggested that 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 39 animals, multiple factor analysis confirmed the strong associations between lactate, methylene derivatives, miR-21-5p, miR-16-5p, and genes that coded proteins involved in metabolic reactions primarily related to energy, ubiquitin proteasome and lipopolysaccharide immune responses at T1. Multiple factorial analyses also identified potential biomarkers at T0 for an increased possibility of failure to finish an endurance competition.
Institute
INRA
Last NameMach
First NameNúria
AddressDomaine de Vilvert, 78352 Jouy en Josas, France
Emailnuria.mach@inra.fr
Phone+33 (0)1 34 65 26 75
Submit Date2016-11-18
Analysis Type DetailNMR
Release Date2017-07-10
Release Version1
Núria Mach Núria Mach
https://dx.doi.org/10.21228/M8XP4P
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

Subject type: Animal; Subject species: Equus caballus (Factor headings shown in green)

mb_sample_id local_sample_id Time
SA026189X14_T0T0
SA026190X16_T0T0
SA026191X13_T0T0
SA026192X64_T0T0
SA026193X59_T0T0
SA026194X52_T0T0
SA026195X10_T0T0
SA026196X2_T0T0
SA026197X30_T0T0
SA026198X35_T0T0
SA026199X29_T0T0
SA026200X28_T0T0
SA026201X40_T0T0
SA026202X6_T0T0
SA026203X57_T0T0
SA026204X33_T0T0
SA026205X41_T0T0
SA026206X38_T0T0
SA026207X49_T0T0
SA026208X43_T0T0
SA026209X65_T0T0
SA026210X27_T0T0
SA026211X32_T0T0
SA026212X4_T1T1
SA026213X45_T1T1
SA026214X44_T1T1
SA026215X8_T1T1
SA026216X46_T1T1
SA026217X5_T1T1
SA026218X36_T1T1
SA026219X60_T1T1
SA026220X58_T1T1
SA026221X54_T1T1
SA026222X53_T1T1
SA026223X48_T1T1
SA026224X62_T1T1
SA026225X61_T1T1
SA026226X63_T1T1
SA026227X22_T1T1
SA026228X41_T1T1
SA026229X43_T1T1
SA026230X49_T1T1
SA026231X59_T1T1
SA026232X38_T1T1
SA026233X33_T1T1
SA026234X2_T1T1
SA026235X27_T1T1
SA026236X32_T1T1
SA026237X64_T1T1
SA026238X1_T1T1
SA026239X24_T1T1
SA026240X25_T1T1
SA026241X26_T1T1
SA026242X23_T1T1
SA026243X21_T1T1
SA026244X12_T1T1
SA026245X17_T1T1
SA026246X19_T1T1
SA026247X34_T1T1
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