Summary of Study ST003348

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 PR002083. The data can be accessed directly via it's Project DOI: 10.21228/M8C802 This work is supported by NIH grant, U2C- DK119886.

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

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST003348
Study TitleAn integrated LC-MS analysis of the biometric characteristics of different time cohorts of race walkers - untargeted
Study SummaryTo obtain metabolic changes during endurance exercise, we conducted a metabolomics study in which 19 race walkers were recruited to collect blood at four time points: before, during, after, and after rest until day two using both non-targeted and targeted methods. A total of 859 metabolites and 411 lipids were identified by non-targeted methods, and 465 metabolites were quantitatively identified by targeted methods. This extensive data set provides a valuable resource for understanding systemic metabolic changes caused by race walking and helps researchers identify biomarkers of exercise performance.
Institute
First Affiliated Hospital of Dalian Medical University
Last NameZhang
First Nameyunshu
AddressNo.222 Zhongshan Road, Xigang District, Dalian City, Liaoning Province
Emailzys1986062186@163.com
Phone0411-83635863
Submit Date2024-07-07
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailLC-MS
Release Date2024-08-09
Release Version1
yunshu Zhang yunshu Zhang
https://dx.doi.org/10.21228/M8C802
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR002083
Project DOI:doi: 10.21228/M8C802
Project Title:An integrated LC-MS analysis of the biometric characteristics of different time cohorts of race walkers
Project Summary:This study investigates the metabolic changes induced by endurance exercise, specifically race walking, in a cohort of 19 athletes. Blood samples were collected at four time points: pre-exercise (REST), immediately post-exercise (STAT), 3 hours into recovery (REC3), and 22 hours post-exercise (REC22). A total of 859 metabolites were identified through the untargeted method, and 465 metabolites and 411 lipids were identified through the targeted methods. Rigorous quality control measures were implemented throughout the study to ensure data reliability. The comprehensive dataset, which is publicly available on the Metabolomics Workbench website, offers valuable insights into the systemic metabolic shifts triggered by endurance exercise. This resource may prove instrumental in uncovering biomarkers associated with athletic performance, providing a foundation for future research in exercise physiology and metabolic health.
Institute:The First Affiliated Hospital of Dalian Medical University
Last Name:Zhang
First Name:Yunshu
Address:No.222 Zhongshan Road, Xigang District, Dalian City, Liaoning Province, Dalian, Xigang District, Dalian City, Liaoning Province, 116000, China
Email:zys196062186@163.com
Phone:0411-93635863
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