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, <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.

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Journal
Journal of Proteome Research
Published
2024-11-26
DOI
https://doi.org/10.1021/acs.jproteome.4c00173
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Plasma Metabolites and Dipeptides as Diagnostic Biomarkers for Psoriasis Vulgaris through Liquid Chromatography-High Resolution Mass Spectrometry-Based Metabolomics

Runyue Huang, Pei-Feng Ke, Shuyan Ye, Xianzhang Huang et al.
Journal of Proteome Research
Metabolomics and Mass Spectrometry Studies
article

Identification of Plasma Metabolites and Dipeptides as Diagnostic Biomarkers for Psoriasis Vulgaris through Liquid Chromatography-High Resolution Mass Spectrometry-Based Metabolomics

Runyue Huang, Pei-Feng Ke, Shuyan Ye, Xianzhang Huang, Heng Wang, Chuanjian Lu, Hao Deng, Jie Guo, Ying Dong, Pengwei Zhang
article en

Abstract

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.

Journal of Proteome ResearchVol. 24(1)
Guangzhou University of Chinese Medicine (CN), Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 81%
Metabolomics and Mass Spectrometry Studies
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