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Metabolomics Reveals Molecular Signatures for Psoriasis Biomarkers and Drug Targets Discovery

PURPOSE: Psoriasis is a chronic, multi-system skin disease that can be influenced by immunological, environmental, and genetic factors. Plasma metabolomic analysis can provide a great deal of information on potential diagnostic biomarkers, pathogenesis and personalized treatment. However, the role o...

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Autores principales: Song, Qian, Chen, Ying, Ma, JianQing, Zhou, Wei, Song, JunYan, Wu, ChunFu, Liu, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631377/
https://www.ncbi.nlm.nih.gov/pubmed/37941849
http://dx.doi.org/10.2147/CCID.S433280
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author Song, Qian
Chen, Ying
Ma, JianQing
Zhou, Wei
Song, JunYan
Wu, ChunFu
Liu, Jie
author_facet Song, Qian
Chen, Ying
Ma, JianQing
Zhou, Wei
Song, JunYan
Wu, ChunFu
Liu, Jie
author_sort Song, Qian
collection PubMed
description PURPOSE: Psoriasis is a chronic, multi-system skin disease that can be influenced by immunological, environmental, and genetic factors. Plasma metabolomic analysis can provide a great deal of information on potential diagnostic biomarkers, pathogenesis and personalized treatment. However, the role of metabolites in psoriasis is unknown. PATIENTS AND METHODS: We performed an untargeted metabolomic analysis of plasma based on high-resolution liquid chromatography mass spectrometry from 10 plaque psoriasis patients and 10 healthy controls. RESULTS: A total of 301 differential metabolites were detected, of which 10 metabolites were possible potential biomarkers, including vitamins, amino acids, and lipids. At the same time, KEGG pathway enrichment analysis was performed for all detected differential metabolites, and it was found that protein digestion and absorption, amino acid metabolism and lipid metabolism may be jointly involved in regulating the pathogenesis of psoriasis. In addition, the proteins ESR1, OPRM1 and HSD11B1 were identified as possible potential topical therapeutic targets for psoriasis through analysis of the metabolite-protein interaction network. CONCLUSION: In this study, we identified 10 differential metabolites as possible potential combinatorial biomarkers for the diagnosis of psoriasis. 12 metabolic pathways were significantly enriched that may be closely related to the occurrence and development of psoriasis. Three proteins, ESR1, OPRM1, and HSD11B1, were identified as possible potential therapeutic targets for psoriasis.
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spelling pubmed-106313772023-11-07 Metabolomics Reveals Molecular Signatures for Psoriasis Biomarkers and Drug Targets Discovery Song, Qian Chen, Ying Ma, JianQing Zhou, Wei Song, JunYan Wu, ChunFu Liu, Jie Clin Cosmet Investig Dermatol Original Research PURPOSE: Psoriasis is a chronic, multi-system skin disease that can be influenced by immunological, environmental, and genetic factors. Plasma metabolomic analysis can provide a great deal of information on potential diagnostic biomarkers, pathogenesis and personalized treatment. However, the role of metabolites in psoriasis is unknown. PATIENTS AND METHODS: We performed an untargeted metabolomic analysis of plasma based on high-resolution liquid chromatography mass spectrometry from 10 plaque psoriasis patients and 10 healthy controls. RESULTS: A total of 301 differential metabolites were detected, of which 10 metabolites were possible potential biomarkers, including vitamins, amino acids, and lipids. At the same time, KEGG pathway enrichment analysis was performed for all detected differential metabolites, and it was found that protein digestion and absorption, amino acid metabolism and lipid metabolism may be jointly involved in regulating the pathogenesis of psoriasis. In addition, the proteins ESR1, OPRM1 and HSD11B1 were identified as possible potential topical therapeutic targets for psoriasis through analysis of the metabolite-protein interaction network. CONCLUSION: In this study, we identified 10 differential metabolites as possible potential combinatorial biomarkers for the diagnosis of psoriasis. 12 metabolic pathways were significantly enriched that may be closely related to the occurrence and development of psoriasis. Three proteins, ESR1, OPRM1, and HSD11B1, were identified as possible potential therapeutic targets for psoriasis. Dove 2023-11-04 /pmc/articles/PMC10631377/ /pubmed/37941849 http://dx.doi.org/10.2147/CCID.S433280 Text en © 2023 Song et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Song, Qian
Chen, Ying
Ma, JianQing
Zhou, Wei
Song, JunYan
Wu, ChunFu
Liu, Jie
Metabolomics Reveals Molecular Signatures for Psoriasis Biomarkers and Drug Targets Discovery
title Metabolomics Reveals Molecular Signatures for Psoriasis Biomarkers and Drug Targets Discovery
title_full Metabolomics Reveals Molecular Signatures for Psoriasis Biomarkers and Drug Targets Discovery
title_fullStr Metabolomics Reveals Molecular Signatures for Psoriasis Biomarkers and Drug Targets Discovery
title_full_unstemmed Metabolomics Reveals Molecular Signatures for Psoriasis Biomarkers and Drug Targets Discovery
title_short Metabolomics Reveals Molecular Signatures for Psoriasis Biomarkers and Drug Targets Discovery
title_sort metabolomics reveals molecular signatures for psoriasis biomarkers and drug targets discovery
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631377/
https://www.ncbi.nlm.nih.gov/pubmed/37941849
http://dx.doi.org/10.2147/CCID.S433280
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