Jing Zhang, Ruru Ren, Shuqin Ding, Yuping Sa, Weiman Zhang, Weibiao Wang, Gidion Wilson, Xueqin Ma, Kaimin Gong
{"title":"精神分裂症与抑郁症之间关系的血清代谢谱证据:非靶向代谢组学。","authors":"Jing Zhang, Ruru Ren, Shuqin Ding, Yuping Sa, Weiman Zhang, Weibiao Wang, Gidion Wilson, Xueqin Ma, Kaimin Gong","doi":"10.1002/bmc.6029","DOIUrl":null,"url":null,"abstract":"<p><p>Given the genetic and clinical overlap observed between schizophrenia and depression, the present study was to identify the similarities and differences in serum metabolic profiles between patients with schizophrenia and depression. Global metabolomics research methods based on UHPLC-QTOF-MS/MS were performed. A total of 113 and 118 differential metabolites were screened and identified in depression and schizophrenia groups, respectively, as compared to health control; among those, 94 differential metabolites were shared by both. Pathway analysis indicated arginine and proline metabolism, alanine, aspartate, and glutamate metabolism were two significant metabolic pathways both in depression and schizophrenia groups as compared with health control groups, respectively. Similarly, 77 differential metabolites were identified between depression and schizophrenia groups, in which, serum N-acetylglutamine and isovalerylglycine levels showed significant differences between patients with depression and schizophrenia with p values less than 0.001 and without significant outliers. Sphingolipid metabolism was identified as a significant metabolic pathway distinguishing between depression and schizophrenia groups based on pathway analysis. Conclusively, common alterations in arginine and proline metabolism, alanine, aspartate, and glutamate metabolism were observed in patients with schizophrenia and depression; whereas differences in serum N-acetylglutamine and isovalerylglycine levels as well as sphingolipid metabolism were discovered between the two categories of patients.</p>","PeriodicalId":8861,"journal":{"name":"Biomedical Chromatography","volume":" ","pages":"e6029"},"PeriodicalIF":1.8000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Serum metabolic profile evidence for relationship between schizophrenia and depression: An untargeted metabolomics.\",\"authors\":\"Jing Zhang, Ruru Ren, Shuqin Ding, Yuping Sa, Weiman Zhang, Weibiao Wang, Gidion Wilson, Xueqin Ma, Kaimin Gong\",\"doi\":\"10.1002/bmc.6029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Given the genetic and clinical overlap observed between schizophrenia and depression, the present study was to identify the similarities and differences in serum metabolic profiles between patients with schizophrenia and depression. Global metabolomics research methods based on UHPLC-QTOF-MS/MS were performed. A total of 113 and 118 differential metabolites were screened and identified in depression and schizophrenia groups, respectively, as compared to health control; among those, 94 differential metabolites were shared by both. Pathway analysis indicated arginine and proline metabolism, alanine, aspartate, and glutamate metabolism were two significant metabolic pathways both in depression and schizophrenia groups as compared with health control groups, respectively. Similarly, 77 differential metabolites were identified between depression and schizophrenia groups, in which, serum N-acetylglutamine and isovalerylglycine levels showed significant differences between patients with depression and schizophrenia with p values less than 0.001 and without significant outliers. Sphingolipid metabolism was identified as a significant metabolic pathway distinguishing between depression and schizophrenia groups based on pathway analysis. Conclusively, common alterations in arginine and proline metabolism, alanine, aspartate, and glutamate metabolism were observed in patients with schizophrenia and depression; whereas differences in serum N-acetylglutamine and isovalerylglycine levels as well as sphingolipid metabolism were discovered between the two categories of patients.</p>\",\"PeriodicalId\":8861,\"journal\":{\"name\":\"Biomedical Chromatography\",\"volume\":\" \",\"pages\":\"e6029\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical Chromatography\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/bmc.6029\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Chromatography","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/bmc.6029","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/21 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Serum metabolic profile evidence for relationship between schizophrenia and depression: An untargeted metabolomics.
Given the genetic and clinical overlap observed between schizophrenia and depression, the present study was to identify the similarities and differences in serum metabolic profiles between patients with schizophrenia and depression. Global metabolomics research methods based on UHPLC-QTOF-MS/MS were performed. A total of 113 and 118 differential metabolites were screened and identified in depression and schizophrenia groups, respectively, as compared to health control; among those, 94 differential metabolites were shared by both. Pathway analysis indicated arginine and proline metabolism, alanine, aspartate, and glutamate metabolism were two significant metabolic pathways both in depression and schizophrenia groups as compared with health control groups, respectively. Similarly, 77 differential metabolites were identified between depression and schizophrenia groups, in which, serum N-acetylglutamine and isovalerylglycine levels showed significant differences between patients with depression and schizophrenia with p values less than 0.001 and without significant outliers. Sphingolipid metabolism was identified as a significant metabolic pathway distinguishing between depression and schizophrenia groups based on pathway analysis. Conclusively, common alterations in arginine and proline metabolism, alanine, aspartate, and glutamate metabolism were observed in patients with schizophrenia and depression; whereas differences in serum N-acetylglutamine and isovalerylglycine levels as well as sphingolipid metabolism were discovered between the two categories of patients.
期刊介绍:
Biomedical Chromatography is devoted to the publication of original papers on the applications of chromatography and allied techniques in the biological and medical sciences. Research papers and review articles cover the methods and techniques relevant to the separation, identification and determination of substances in biochemistry, biotechnology, molecular biology, cell biology, clinical chemistry, pharmacology and related disciplines. These include the analysis of body fluids, cells and tissues, purification of biologically important compounds, pharmaco-kinetics and sequencing methods using HPLC, GC, HPLC-MS, TLC, paper chromatography, affinity chromatography, gel filtration, electrophoresis and related techniques.