<HashMap><database>iProX</database><scores/><additional><omics_type>Proteomics</omics_type><submitter>Zhongda Zeng</submitter><species>Homo Sapiens</species><full_dataset_link>http://www.iprox.org/page/project.html?id=IPX0017261000</full_dataset_link><submitter_email>zengzhongda@dlu.edu.cn</submitter_email><submitter_affiliation>Dalian University</submitter_affiliation><sample_protocol></sample_protocol><repository>iProX</repository><data_protocol></data_protocol></additional><is_claimable>false</is_claimable><name>UPLC-HRMS-Based Untargeted Dynamic Metabolomics of Temporal Evolution in Glucose Metabolic States under Insulin Resistance</name><description>This study analyzed human serum samples from individuals across different stages of glycemic control, including normal glucose tolerance (NGT, n=25), isolated insulin resistance (IR, n=19), IR with impaired glucose regulation (IGR, n=32), and IR with type 2 diabetes mellitus (T2DM, n=33). Untargeted metabolomics was performed using UPLC-HRMS. The data are intended for the characterization of metabolic changes along this disease spectrum. Detailed results will be reported in a future publication.</description><dates><publication>Wed May 20 00:00:00 GMT+01:00 2026</publication></dates><accession>PXD078599</accession><cross_references><TAXONOMY>9606</TAXONOMY></cross_references></HashMap>