Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profiling
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 sp...
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PeerJ Inc.
2023-01-01
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| Online Access: | https://peerj.com/articles/14563.pdf |
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| author | Xinxin Lin Shiqi He Suyu Wu Tianwen Zhang Sisi Gong Tang Minjie Yao Gao |
| author_facet | Xinxin Lin Shiqi He Suyu Wu Tianwen Zhang Sisi Gong Tang Minjie Yao Gao |
| author_sort | Xinxin Lin |
| collection | DOAJ |
| 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 (n = 31), HC (healthy controls) group (n = 57) and non-OA group (n = 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 (18:0/22:6), p-cresol sulfate and so on, were identified as critical metabolites for the diagnosis of OA and HC and yielded an area under the curve (AUC) of 0.978. The other panel of unknown m/z 239.091, phosphatidylcholine (18:0/18:0) and phenylalanine were found to distinguish OA from non-OA and achieved an AUC of 0.888. These potential biomarkers are mainly involved in lipid metabolism, glucose metabolism and amino acid metabolism. It is expected to reveal new insight into OA pathogenesis from changed metabolic pathways. |
| first_indexed | 2024-03-09T05:14:29Z |
| format | Article |
| id | doaj.art-e7f9a6198c88435b975a598fb5dcf88c |
| institution | Directory Open Access Journal |
| issn | 2167-8359 |
| language | English |
| last_indexed | 2024-03-09T05:14:29Z |
| publishDate | 2023-01-01 |
| publisher | PeerJ Inc. |
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| spelling | doaj.art-e7f9a6198c88435b975a598fb5dcf88c2023-12-03T12:47:06ZengPeerJ Inc.PeerJ2167-83592023-01-0111e1456310.7717/peerj.14563Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profilingXinxin Lin0Shiqi He1Suyu Wu2Tianwen Zhang3Sisi Gong4Tang Minjie5Yao Gao6The School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, ChinaThe School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, ChinaThe School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, ChinaFujian Fishery Resources Monitoring Center, Fuzhou, ChinaDepartment of Laboratory Medicine, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, ChinaDepartment of Laboratory Medicine, the First Affiliated Hospital of Fujian Medical University, Fuzhou, ChinaThe School of Medical Technology and Engineering, Fujian Medical University, Fuzhou, ChinaOsteoarthritis (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 (n = 31), HC (healthy controls) group (n = 57) and non-OA group (n = 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 (18:0/22:6), p-cresol sulfate and so on, were identified as critical metabolites for the diagnosis of OA and HC and yielded an area under the curve (AUC) of 0.978. The other panel of unknown m/z 239.091, phosphatidylcholine (18:0/18:0) and phenylalanine were found to distinguish OA from non-OA and achieved an AUC of 0.888. These potential biomarkers are mainly involved in lipid metabolism, glucose metabolism and amino acid metabolism. It is expected to reveal new insight into OA pathogenesis from changed metabolic pathways.https://peerj.com/articles/14563.pdfOsteoarthritisBiomarkerUPLC-QToF/MSEarly diagnosisMetabolic pathway analysis |
| spellingShingle | Xinxin Lin Shiqi He Suyu Wu Tianwen Zhang Sisi Gong Tang Minjie Yao Gao Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profiling PeerJ Osteoarthritis Biomarker UPLC-QToF/MS Early diagnosis Metabolic pathway analysis |
| title | Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profiling |
| title_full | Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profiling |
| title_fullStr | Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profiling |
| title_full_unstemmed | Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profiling |
| title_short | Diagnostic biomarker panels of osteoarthritis: UPLC-QToF/MS-based serum metabolic profiling |
| title_sort | diagnostic biomarker panels of osteoarthritis uplc qtof ms based serum metabolic profiling |
| topic | Osteoarthritis Biomarker UPLC-QToF/MS Early diagnosis Metabolic pathway analysis |
| url | https://peerj.com/articles/14563.pdf |
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