| Title |
Identification of potential urinary biomarkers predictive of EIMD based on changes in urinary metabolites after high-intensity rowing exercise. |
| Description |
Exercise-induced muscle damage (EIMD) is the most common health risk in physical exercise. However, instant and non-invasive methods for EIMD pre-diction have not been reported. Urine is a promising tool for EIMD prediction. However, urinary metabolite variation after EIMD occurrence has not been revealed, and potential biomarkers have not been identified. |
| Organism |
Homo sapiens |
| Data Type |
Metabolome Data by Mass Spectrometry (MS) |
| Data Accessibility |
Open-access |
| BioProject |
PRJCA041280 |
| Release Date |
2025-06-09 |
| Submitter |
junjie Ding (1501396085@qq.com) |
| Organization |
Beijing Institute of Technology |
| Submission Date |
2025-06-07 |