Pengwei Zhang, Ying Dong, Heng Wang, Hao Deng, Jie Guo, Peifeng Ke, Shuyan Ye, Runyue Huang, Xianzhang Huang, Chuanjian Lu
{"title":"基于液相色谱-高分辨质谱的代谢组学鉴定血浆代谢物和二肽作为银屑病的诊断生物标记物","authors":"Pengwei Zhang, Ying Dong, Heng Wang, Hao Deng, Jie Guo, Peifeng Ke, Shuyan Ye, Runyue Huang, Xianzhang Huang, Chuanjian Lu","doi":"10.1021/acs.jproteome.4c00173","DOIUrl":null,"url":null,"abstract":"<p><p>Psoriasis, an immune-mediated chronic inflammatory skin disease, is primarily diagnosed through clinical assessment. Currently, specific markers for the accurate diagnosis and prediction of psoriatic disease are lacking. Here, we employed a three-step designed study to perform untargeted metabolomics, with the aim of identifying candidate biomarkers for psoriasis. Through comprehensive multivariate and univariate statistical analyses, we screened eight potential biomarkers specific to psoriasis, with five structurally identified. Two dipeptide biomarkers, γ-GluSer and ThrGly, along with a lysine glycation metabolite, <i>N</i>α-fructosyl-lysine (Fruc-Lys), were found to be psoriasis biomarkers for the first time. Receiver operating characteristic curve analysis revealed that the area under the curve (AUC) values of these eight metabolites/features ranged from 0.68 to 0.94. A biomarker panel comprising ThrGly and feature <i>m</i>/<i>z</i> 120.0656 (C<sub>4</sub>H<sub>9</sub>NO<sub>3</sub>) demonstrated high diagnostic accuracy (AUC = 0.97) in distinguishing psoriasis patients from healthy controls. Overall, our study identified and validated a panel of plasma metabolites/features that could serve as potential biomarkers for the diagnosis of psoriasis, providing new insights into the diagnosis and pathogenesis of this disease.</p>","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of Plasma Metabolites and Dipeptides as Diagnostic Biomarkers for Psoriasis Vulgaris through Liquid Chromatography-High Resolution Mass Spectrometry-Based Metabolomics.\",\"authors\":\"Pengwei Zhang, Ying Dong, Heng Wang, Hao Deng, Jie Guo, Peifeng Ke, Shuyan Ye, Runyue Huang, Xianzhang Huang, Chuanjian Lu\",\"doi\":\"10.1021/acs.jproteome.4c00173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Psoriasis, an immune-mediated chronic inflammatory skin disease, is primarily diagnosed through clinical assessment. Currently, specific markers for the accurate diagnosis and prediction of psoriatic disease are lacking. Here, we employed a three-step designed study to perform untargeted metabolomics, with the aim of identifying candidate biomarkers for psoriasis. Through comprehensive multivariate and univariate statistical analyses, we screened eight potential biomarkers specific to psoriasis, with five structurally identified. Two dipeptide biomarkers, γ-GluSer and ThrGly, along with a lysine glycation metabolite, <i>N</i>α-fructosyl-lysine (Fruc-Lys), were found to be psoriasis biomarkers for the first time. Receiver operating characteristic curve analysis revealed that the area under the curve (AUC) values of these eight metabolites/features ranged from 0.68 to 0.94. A biomarker panel comprising ThrGly and feature <i>m</i>/<i>z</i> 120.0656 (C<sub>4</sub>H<sub>9</sub>NO<sub>3</sub>) demonstrated high diagnostic accuracy (AUC = 0.97) in distinguishing psoriasis patients from healthy controls. Overall, our study identified and validated a panel of plasma metabolites/features that could serve as potential biomarkers for the diagnosis of psoriasis, providing new insights into the diagnosis and pathogenesis of this disease.</p>\",\"PeriodicalId\":48,\"journal\":{\"name\":\"Journal of Proteome Research\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Proteome Research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1021/acs.jproteome.4c00173\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Proteome Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acs.jproteome.4c00173","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Identification of Plasma Metabolites and Dipeptides as Diagnostic Biomarkers for Psoriasis Vulgaris through Liquid Chromatography-High Resolution Mass Spectrometry-Based Metabolomics.
Psoriasis, an immune-mediated chronic inflammatory skin disease, is primarily diagnosed through clinical assessment. Currently, specific markers for the accurate diagnosis and prediction of psoriatic disease are lacking. Here, we employed a three-step designed study to perform untargeted metabolomics, with the aim of identifying candidate biomarkers for psoriasis. Through comprehensive multivariate and univariate statistical analyses, we screened eight potential biomarkers specific to psoriasis, with five structurally identified. Two dipeptide biomarkers, γ-GluSer and ThrGly, along with a lysine glycation metabolite, Nα-fructosyl-lysine (Fruc-Lys), were found to be psoriasis biomarkers for the first time. Receiver operating characteristic curve analysis revealed that the area under the curve (AUC) values of these eight metabolites/features ranged from 0.68 to 0.94. A biomarker panel comprising ThrGly and feature m/z 120.0656 (C4H9NO3) demonstrated high diagnostic accuracy (AUC = 0.97) in distinguishing psoriasis patients from healthy controls. Overall, our study identified and validated a panel of plasma metabolites/features that could serve as potential biomarkers for the diagnosis of psoriasis, providing new insights into the diagnosis and pathogenesis of this disease.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".