{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10(5)"],"submitter":["Chen D"],"pubmed_abstract":["Metabolic syndrome (MTS) is a cluster of concurrent metabolic abnormal conditions. MTS and its component metabolic diseases are heterogeneous and closely related, making their relationships complicated, thus hindering precision treatment. <b>Methods</b>: We collected seven groups of samples (group a: healthy individuals; group b: obesity; group c: MTS; group d: hyperglycemia, group e: hypertension, group f: hyperlipidemia; group g: type II diabetes, n=7 for each group). We examined the molecular characteristics of each sample by metabolomic, proteomic and peptidomic profiling analysis. The differential molecules (including metabolites, proteins and peptides) between each disease group and the healthy group were recognized by statistical analyses. Furthermore, a two-step clustering workflow"],"journal":["Theranostics"],"pagination":["2029-2046"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7019171"],"repository":["biostudies-literature"],"pubmed_title":["A multi-omics investigation of the molecular characteristics and classification of six metabolic syndrome relevant diseases."],"pmcid":["PMC7019171"],"pubmed_authors":["Zhou L","Wu J","Chen L","Sui Z","Zhang L","Hou X","Yuan H","Zhang R","Xu G","Chen D","Zhao X","Hu C","Li Y","Xuan Q","Piao HL","Zhang Y","Wu R","Jia W","Niu H"],"additional_accession":[]},"is_claimable":false,"name":"A multi-omics investigation of the molecular characteristics and classification of six metabolic syndrome relevant diseases.","description":"Metabolic syndrome (MTS) is a cluster of concurrent metabolic abnormal conditions. MTS and its component metabolic diseases are heterogeneous and closely related, making their relationships complicated, thus hindering precision treatment. <b>Methods</b>: We collected seven groups of samples (group a: healthy individuals; group b: obesity; group c: MTS; group d: hyperglycemia, group e: hypertension, group f: hyperlipidemia; group g: type II diabetes, n=7 for each group). We examined the molecular characteristics of each sample by metabolomic, proteomic and peptidomic profiling analysis. The differential molecules (including metabolites, proteins and peptides) between each disease group and the healthy group were recognized by statistical analyses. Furthermore, a two-step clustering workflow","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020","modification":"2025-04-18T15:51:53.55Z","creation":"2020-05-22T11:01:04Z"},"accession":"S-EPMC7019171","cross_references":{"pubmed":["32089734"],"doi":["10.7150/thno.41106"]}}