<HashMap><database>iProX</database><scores/><additional><omics_type>Proteomics</omics_type><submitter>Xinyi Fang</submitter><species>Homo Sapiens</species><full_dataset_link>http://www.iprox.org/page/project.html?id=IPX0008449000</full_dataset_link><submitter_email>749860324@qq.com</submitter_email><submitter_affiliation>Guang'anmen Hospital, China Academy of Chinese Medical Sciences</submitter_affiliation><sample_protocol></sample_protocol><repository>iProX</repository><data_protocol></data_protocol></additional><is_claimable>false</is_claimable><name>Integrated transcriptome, proteome, metabolome and microbiome analyses identify multi-omics signature of glycolipid metabolism disorder: a cross-sectional study</name><description>We collected blood/stool samples from 30 patients with type 2 diabetes and dyslipidemia (GL), 30 patients with hyperlipidemia (HL), and 30 healthy controls, conducted transcriptome/proteome/metabolome/microbiome analysis, and correlated it with clinical phenotypes. We further integrated multi-omics features and tested the discriminant efficacy of multi-omics datasets using ROC curves.</description><dates><publication>Fri Mar 29 00:00:00 GMT 2024</publication></dates><accession>PXD051113</accession><cross_references><TAXONOMY>9606</TAXONOMY></cross_references></HashMap>