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.

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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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Project:

Project ID:PR000380
Project DOI:doi: 10.21228/M8XP4P
Project Title:Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNome in horses
Project Type:Comparison metabolome time
Project Summary:Endurance 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 Name:Mach
First Name:Núria
Address:Domaine Vilvert, 78352 Jouy en Josas, France
Email:nuria.mach@inra.fr
Phone:+33 (0)1 34 65 26 75

Subject:

Subject ID:SU000525
Subject Type:Animal
Subject Species:Equus caballus
Taxonomy ID:9796
Species Group:Mammal

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
Showing results 1 to 59 of 59

Collection:

Collection ID:CO000519
Collection Summary:Blood samples for metabolome, transcriptome, and miRNome profiling were obtained from the jugular vein at rest (Basal, T0) and/or immediately after the end of the competition (T1). Pretreatment of the blood samples was carried out immediately after the collection because the access to refrigeration and electrical power supply was available under the field conditions. Briefly, whole blood samples from each horse were collected in sodium fluoride and oxalate tubes for metabolome profiling in order to inhibit further glycolysis that may increase the lactate levels after sampling. Whole blood draw for plasma generation was put at once at 4ºC to minimize the metabolic activity of cells and enzymes and kept the metabolite pattern almost stable. Clotting time at 4ºC was strictly controlled for all samples to avoid cell lyses and affect the components of the metabolome. After clotting at 4ºC, the plasma was separated from the blood cells, subsequently transported to the lab at 4ºC and frozen at -80 °C (no more than 5 h later, in all cases).
Sample Type:Blood

Treatment:

Treatment ID:TR000539
Treatment Summary:Two timecourse comparison of metabolome, transcriptome and miRNome: T1 (post- 160 km endurance competition) relative to T0 (baseline, pre- 160 km endurance competition).

Sample Preparation:

Sampleprep ID:SP000532
Sampleprep Summary:The plasmas were thawed at room temperature. In the 5 mm NMR tubes, 600 µL of plasma was added with 100 µL deuterium oxide for field locking.

Analysis:

Analysis ID:AN000772
Analysis Type:NMR
Num Factors:2

NMR:

NMR ID:NM000092
Analysis ID:AN000772
Instrument Name:Bruker Avance III
Instrument Type:FT-NMR
NMR Experiment Type:1D 1H
Spectrometer Frequency:500 MHz
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