{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhu H"],"funding":["University of Edinburgh and the Shenzhen Institute of Artificial Intelligence and Robotics for Society","University of Macau","Universidade de Macau"],"pagination":["288-299"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9807484"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["66(2)"],"pubmed_abstract":["<h4>Aims/hypothesis</h4>MicroRNAs are being sought as biomarkers for the early identification of type 2 diabetes. This study aimed to synthesise the evidence from microRNA-type 2 diabetes association studies and microRNA-regulated type 2 diabetes pathway delineation studies that met stringent quality criteria to identify and validate microRNAs of both statistical and biological significance as type 2 diabetes biomarkers.<h4>Methods</h4>Eligible controlled studies on microRNA expression profiling of type 2 diabetes were retrieved from PubMed, ScienceDirect and Web of Science. MicroRNA-regulated type 2 diabetes pathway delineation studies were conducted by integrating and cross-verifying the data from miRTarBase, TransmiR, miRecords, TargetScanHuman, the Kyoto Encyclopedia of Genes and Genom"],"journal":["Diabetologia"],"pubmed_title":["MicroRNA biomarkers of type 2 diabetes: evidence synthesis from meta-analyses and pathway modelling."],"pmcid":["PMC9807484"],"funding_grant_id":["MYRG2014-00117-ICMS-QRCM","MYRG190-Y3-L3-ICMS11-LSW","No. MYRG190-Y3-L3-ICMS11-LSW","2021-ICP001","Grant No. 2021-ICP001"],"pubmed_authors":["Zhu H","Leung SW"],"additional_accession":[]},"is_claimable":false,"name":"MicroRNA biomarkers of type 2 diabetes: evidence synthesis from meta-analyses and pathway modelling.","description":"<h4>Aims/hypothesis</h4>MicroRNAs are being sought as biomarkers for the early identification of type 2 diabetes. This study aimed to synthesise the evidence from microRNA-type 2 diabetes association studies and microRNA-regulated type 2 diabetes pathway delineation studies that met stringent quality criteria to identify and validate microRNAs of both statistical and biological significance as type 2 diabetes biomarkers.<h4>Methods</h4>Eligible controlled studies on microRNA expression profiling of type 2 diabetes were retrieved from PubMed, ScienceDirect and Web of Science. MicroRNA-regulated type 2 diabetes pathway delineation studies were conducted by integrating and cross-verifying the data from miRTarBase, TransmiR, miRecords, TargetScanHuman, the Kyoto Encyclopedia of Genes and Genom","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2026-05-28T06:17:48.655Z","creation":"2024-11-08T21:04:43.312Z"},"accession":"S-EPMC9807484","cross_references":{"pubmed":["36269347"],"doi":["10.1007/s00125-022-05809-z"]}}