{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11"],"submitter":["Lin X"],"pubmed_abstract":["Osteoarthritis (OA) is the most common joint disease in the world, characterized by pain and loss of joint function, which has led to a serious reduction in the quality of patients' lives. In this work, ultrahigh performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-QToF/MS) in conjunction with multivariate pattern recognition methods and an univariate statistical analysis scheme were applied to explore the serum metabolic signatures within OA group (<i>n</i> = 31), HC (healthy controls) group (<i>n</i> = 57) and non-OA group (<i>n</i> = 19) for early diagnosis and differential diagnosis of OA. Based on logistic regression analysis and receiver operating characteristic (ROC) curve analysis, seven metabolites, including phosphatidylcholine ("],"journal":["PeerJ"],"pagination":["e14563"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9841907"],"repository":["biostudies-literature"],"pubmed_title":["Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profiling."],"pmcid":["PMC9841907"],"pubmed_authors":["He S","Zhang T","Gong S","Wu S","Gao Y","Lin X","Minjie T"],"additional_accession":[]},"is_claimable":false,"name":"Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profiling.","description":"Osteoarthritis (OA) is the most common joint disease in the world, characterized by pain and loss of joint function, which has led to a serious reduction in the quality of patients' lives. In this work, ultrahigh performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-QToF/MS) in conjunction with multivariate pattern recognition methods and an univariate statistical analysis scheme were applied to explore the serum metabolic signatures within OA group (<i>n</i> = 31), HC (healthy controls) group (<i>n</i> = 57) and non-OA group (<i>n</i> = 19) for early diagnosis and differential diagnosis of OA. Based on logistic regression analysis and receiver operating characteristic (ROC) curve analysis, seven metabolites, including phosphatidylcholine (","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023","modification":"2025-04-04T14:28:26.226Z","creation":"2025-04-04T14:28:26.226Z"},"accession":"S-EPMC9841907","cross_references":{"pubmed":["36655043"],"doi":["10.7717/peerj.14563"]}}