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Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins

Skin aging is a specific manifestation of the physiological aging process that occurs in virtually all organisms. In this study, we used data independent acquisition mass spectrometry to perform a comparative analysis of protein expression in volar forearm skin samples from of 20 healthy young and e...

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Autores principales: Ma, Jing, Liu, Mengting, Wang, Yaochi, Xin, Cong, Zhang, Hui, Chen, Shirui, Zheng, Xiaodong, Zhang, Xuejun, Xiao, Fengli, Yang, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377841/
https://www.ncbi.nlm.nih.gov/pubmed/32602849
http://dx.doi.org/10.18632/aging.103461
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author Ma, Jing
Liu, Mengting
Wang, Yaochi
Xin, Cong
Zhang, Hui
Chen, Shirui
Zheng, Xiaodong
Zhang, Xuejun
Xiao, Fengli
Yang, Sen
author_facet Ma, Jing
Liu, Mengting
Wang, Yaochi
Xin, Cong
Zhang, Hui
Chen, Shirui
Zheng, Xiaodong
Zhang, Xuejun
Xiao, Fengli
Yang, Sen
author_sort Ma, Jing
collection PubMed
description Skin aging is a specific manifestation of the physiological aging process that occurs in virtually all organisms. In this study, we used data independent acquisition mass spectrometry to perform a comparative analysis of protein expression in volar forearm skin samples from of 20 healthy young and elderly Chinese individuals. Our quantitative proteomic analysis identified a total of 95 differentially expressed proteins (DEPs) in aged skin compared to young skin. Enrichment analyses of these DEPs (57 upregulated and 38 downregulated proteins) based on the GO, KEGG, and KOG databases revealed functional clusters associated with immunity and inflammation, oxidative stress, biosynthesis and metabolism, proteases, cell proliferation, cell differentiation, and apoptosis. We also found that GAPDH, which was downregulated in aged skin samples, was the top hub gene in a protein-protein interaction network analysis. Some of the DEPs identified herein had been previously correlated with aging of the skin and other organs, while others may represent novel age-related entities. Our non-invasive proteomics analysis of human epidermal proteins may guide future research on skin aging to help develop treatments for age-related skin conditions and rejuvenation.
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spelling pubmed-73778412020-07-31 Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins Ma, Jing Liu, Mengting Wang, Yaochi Xin, Cong Zhang, Hui Chen, Shirui Zheng, Xiaodong Zhang, Xuejun Xiao, Fengli Yang, Sen Aging (Albany NY) Research Paper Skin aging is a specific manifestation of the physiological aging process that occurs in virtually all organisms. In this study, we used data independent acquisition mass spectrometry to perform a comparative analysis of protein expression in volar forearm skin samples from of 20 healthy young and elderly Chinese individuals. Our quantitative proteomic analysis identified a total of 95 differentially expressed proteins (DEPs) in aged skin compared to young skin. Enrichment analyses of these DEPs (57 upregulated and 38 downregulated proteins) based on the GO, KEGG, and KOG databases revealed functional clusters associated with immunity and inflammation, oxidative stress, biosynthesis and metabolism, proteases, cell proliferation, cell differentiation, and apoptosis. We also found that GAPDH, which was downregulated in aged skin samples, was the top hub gene in a protein-protein interaction network analysis. Some of the DEPs identified herein had been previously correlated with aging of the skin and other organs, while others may represent novel age-related entities. Our non-invasive proteomics analysis of human epidermal proteins may guide future research on skin aging to help develop treatments for age-related skin conditions and rejuvenation. Impact Journals 2020-06-29 /pmc/articles/PMC7377841/ /pubmed/32602849 http://dx.doi.org/10.18632/aging.103461 Text en Copyright © 2020 Ma et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Ma, Jing
Liu, Mengting
Wang, Yaochi
Xin, Cong
Zhang, Hui
Chen, Shirui
Zheng, Xiaodong
Zhang, Xuejun
Xiao, Fengli
Yang, Sen
Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins
title Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins
title_full Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins
title_fullStr Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins
title_full_unstemmed Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins
title_short Quantitative proteomics analysis of young and elderly skin with DIA mass spectrometry reveals new skin aging-related proteins
title_sort quantitative proteomics analysis of young and elderly skin with dia mass spectrometry reveals new skin aging-related proteins
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377841/
https://www.ncbi.nlm.nih.gov/pubmed/32602849
http://dx.doi.org/10.18632/aging.103461
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