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Large-scale plasma-metabolome analysis identifies potential biomarkers of psoriasis and its clinical subtypes.

Authors :
Kishikawa T
Arase N
Tsuji S
Maeda Y
Nii T
Hirata J
Suzuki K
Yamamoto K
Masuda T
Ogawa K
Ohshima S
Inohara H
Kumanogoh A
Fujimoto M
Okada Y
Source :
Journal of dermatological science [J Dermatol Sci] 2021 May; Vol. 102 (2), pp. 78-84. Date of Electronic Publication: 2021 Mar 26.
Publication Year :
2021

Abstract

Background: Psoriasis is an immune-mediated skin disease for which the crosstalk between genetic and environmental factors is responsible. To date, no definitive diagnostic criteria for psoriasis yet, and specific biomarkers are required.<br />Objective: We performed metabolome analysis to identify metabolite biomarkers of psoriasis and its subtypes such as psoriatic arthritis (PsA) and cutaneous psoriasis (PsC).<br />Methods: We constructed metabolomics profiling of 130 plasma samples (42 PsA patients, 50 PsC patients, and 38 healthy controls) using a nontargeted metabolomics approach.<br />Results: Psoriasis-control association tests showed that one metabolite (ethanolamine phosphate) was significantly increased in psoriasis samples than in the controls, whereas three metabolites decreased (false discovery rate [FDR] < 0.05; XA0019, nicotinic acid, and 20α-hydroxyprogesterone). In the association test between PsA and PsC, tyramine significantly increased in PsA than in PsC, whereas mucic acid decreased (FDR < 0.05). Molecular pathway analysis of the PsA-PsC association test identified enrichment of vitamin digestion and absorption pathway in PsC (P = 1.3 × 10 <superscript>-4</superscript> ). Correlation network analyses elucidated that a subnetwork centered on aspartate was constructed among the psoriasis-associated metabolites; meanwhile, the major subnetwork among metabolites with differences between PsA and PsC was primarily formed from saturated fatty acids.<br />Conclusion: Our large-scale metabolome analysis highlights novel characteristics of plasma metabolites in psoriasis and the differences between PsA and PsC, which could be used as potential biomarkers of psoriasis and its clinical subtypes. These findings contribute to our understanding of psoriasis pathophysiology.<br />Competing Interests: Declaration of Competing Interest The authors have no conflict of interest to declare.<br /> (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1873-569X
Volume :
102
Issue :
2
Database :
MEDLINE
Journal :
Journal of dermatological science
Publication Type :
Academic Journal
Accession number :
33836926
Full Text :
https://doi.org/10.1016/j.jdermsci.2021.03.006