{
"METABOLOMICS WORKBENCH":{"STUDY_ID":"ST003348","ANALYSIS_ID":"AN005483","VERSION":"1","CREATED_ON":"01-23-2025"},

"PROJECT":{"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","DOI":"http://dx.doi.org/10.21228/M8C802"},

"STUDY":{"STUDY_TITLE":"An integrated LC-MS analysis of the biometric characteristics of different time cohorts of race walkers - untargeted","STUDY_SUMMARY":"To 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":"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","EMAIL":"zys1986062186@163.com","PHONE":"0411-83635863","SUBMIT_DATE":"2024-07-07"},

"SUBJECT":{"SUBJECT_TYPE":"Human","SUBJECT_SPECIES":"Homo sapiens","TAXONOMY_ID":"9606","SPECIES_GROUP":"Mammals"},
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"Subject ID":"-",
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"Subject ID":"-",
"Sample ID":"94_2",
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"Subject ID":"-",
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{
"Subject ID":"-",
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{
"Subject ID":"-",
"Sample ID":"98_2",
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],
"COLLECTION":{"COLLECTION_SUMMARY":"Sera were collected from 20 male student-athletes with the informed consent of every participants, and the study was approved by the ethics committee of Shenyang sport university (No.2022-6-30-01). Samples were collected at four different time points. The first point was fast samples collected before the race walk at 8:20 am (name as REST). The second point was collected at immediately after the race walk exercise at 10:30 am (name as STAT). The third point was collected at the 3-hour recovery period after the exercise at 13: 30 pm (named as REC3). The fourth point was fast samples collected at 22 h post-exercise on day 2 at 8:20 am (named as REC22). Blood were collected in plastic Vacutainer blood tubes, allowed to clot for 40 minutes, and then centrifuged at 13000 g for 10 minutes. The sera were frozen in dry ice immediately after collection and then stored at − 80°C untill analysis. One athlete quite during the study (No.80) and the data of heart rates in each timepoint is shown in Table 1.","SAMPLE_TYPE":"Blood (serum)"},

"TREATMENT":{"TREATMENT_SUMMARY":"There is no treatment involved in this study"},

"SAMPLEPREP":{"SAMPLEPREP_SUMMARY":"The aliquots were thawed at 4 ° C for 60 minutes and then gently blown with a pipetting gun to allow uniform distribution of the sample. Then, 120μL of serum was transferred to a 2 mL EP tube (Aixgen USA), and 480 μL of methanol was added. The samples were vortexed for 5 min then allowed to stand for 10 min at room temperature and centrifuged at 13000 g at 4 °C (Thermo Scientific, USA) for 10 minutes. The upper extracts were transferred to a 1.5ml tube and lyophilized for 3 hours in a vacuum freeze dryer (Labconco Corporation, USA) and then stored at 4 °C until injection. Prior to analysis, the extracts were redissolved in 500 μl acetonitril-water (1:3,v/v). Quality control (QC) samples were prepared by mixing equal amounts of samples."},

"CHROMATOGRAPHY":{"INSTRUMENT_NAME":"Thermo Dionex Ultimate 3000","COLUMN_NAME":"Waters ACQUITY UPLC HSS C18 (100 x 2.1mm,1.8um)","COLUMN_TEMPERATURE":"50","FLOW_GRADIENT":"2% B to 98% B in 10 min","FLOW_RATE":"0.4 mL/min","SOLVENT_A":"100% water; 0.1% formic acid","SOLVENT_B":"100% acetonitrile; 0.1% formic acid","CHROMATOGRAPHY_TYPE":"Reversed phase"},

"ANALYSIS":{"ANALYSIS_TYPE":"MS"},

"MS":{"INSTRUMENT_NAME":"Thermo Q Exactive Plus Orbitrap","INSTRUMENT_TYPE":"Orbitrap","MS_TYPE":"ESI","MS_COMMENTS":"-","ION_MODE":"POSITIVE"},

"MS_METABOLITE_DATA":{
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}