{"@type":"Dataset","go_id":["https://identifiers.org/GO:0006629","https://identifiers.org/GO:0006006"],"go_kw":["lipid metabolism","glucose metabolism"],"integmet_study":"MTBLS2104","mesh_chemical_id":["https://identifiers.org/mesh:D010713","https://identifiers.org/mesh:D006601","https://identifiers.org/mesh:D000597"],"mesh_chemical_pubtator_kw":["phosphatidylcholines","hexose","branched chain amino acids"],"mesh_disease_id":["https://identifiers.org/mesh:D008659","https://identifiers.org/mesh:D008661","https://identifiers.org/mesh:D003920"],"mesh_disease_pubtator_kw":["metabolic diseases","inborn errors of metabolism","diabetes mellitus"],"ncbi_taxonomy_id":["https://identifiers.org/taxonomy:9606"],"ncbi_taxonomy_pubtator_kw":["Human","human"],"source_id":"https://identifiers.org/metabolights:MTBLS2104","study_findings":"Unique metabolite profiles in athletes; bodybuilders and endurance athletes differ from sprinters and controls.","study_observation":"Serum metabolome of athletes and controls at rest and post-exercise.","study_summary":"Metabolomics analysis of athletes' blood metabolome.","study_title_original":"Physiological extremes of the human blood metabolome: A metabolomics analysis of highly glycolytic, oxidative, and anabolic athletes"}