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Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey

BACKGROUND: The underlying physiological mechanisms associated with aging are still complex and unclear. As a very important tissue of human body, the circulatory system also plays a very important role in the process of aging. In this study, we use the isobaric tags for relative and absolute quanti...

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Autores principales: Wang, Hao, Zhu, Xiaoqi, Shen, Junyan, Zhao, En-Feng, He, Dajun, Shen, Haitao, Liu, Hailiang, Zhou, Yongxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788010/
https://www.ncbi.nlm.nih.gov/pubmed/31601169
http://dx.doi.org/10.1186/s12864-019-6089-z
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author Wang, Hao
Zhu, Xiaoqi
Shen, Junyan
Zhao, En-Feng
He, Dajun
Shen, Haitao
Liu, Hailiang
Zhou, Yongxin
author_facet Wang, Hao
Zhu, Xiaoqi
Shen, Junyan
Zhao, En-Feng
He, Dajun
Shen, Haitao
Liu, Hailiang
Zhou, Yongxin
author_sort Wang, Hao
collection PubMed
description BACKGROUND: The underlying physiological mechanisms associated with aging are still complex and unclear. As a very important tissue of human body, the circulatory system also plays a very important role in the process of aging. In this study, we use the isobaric tags for relative and absolute quantification (iTRAQ) method to identify differentially expressed proteins in plasma for humans and monkeys between young and aged. Western blotting and behavioral experiment in mice were performed to validate the expression of the candidate protein. RESULTS: Between the young / the old humans and the young / the old monkeys 74 and 69 proteins were found to be differently expressed, respectively. For the human samples, these included 38 up-regulated proteins and 36 down-regulated proteins (a fold change ≥1.3 or ≤ 0.667, p value ≤0.05).For the monkey samples, 51 up-regulated proteins and 18 down-regulated proteins (a fold change ≥1.3 or ≤ 0.667, p value ≤0.05). KEGG pathway analysis revealed that phagosome, focal adhesion, ECM-receptor interaction and PI3K/AKT signaling pathway were the most common pathways involved in aging. We found only IGFBP4 protein that existed in up-regulated proteins in aged both for human and monkey. In addition, the differential expression of IGFBP4 was validated by western blot analysis and IGFBP4 treatment mimicked aging-related cognitive dysfunction in mice. CONCLUSIONS: This first, the integrated proteomics for the plasma protein of human and monkey reveal one protein-IGFBP4, which was validated by western blotting and behavioral analysis can promote the process of aging. And, iTRAQ analysis showed that proteolytic systems, and inflammatory responses plays an important role in the process of aging. These findings provide a basis for better understanding of the underlying mechanisms involved in aging.
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spelling pubmed-67880102019-10-18 Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey Wang, Hao Zhu, Xiaoqi Shen, Junyan Zhao, En-Feng He, Dajun Shen, Haitao Liu, Hailiang Zhou, Yongxin BMC Genomics Research Article BACKGROUND: The underlying physiological mechanisms associated with aging are still complex and unclear. As a very important tissue of human body, the circulatory system also plays a very important role in the process of aging. In this study, we use the isobaric tags for relative and absolute quantification (iTRAQ) method to identify differentially expressed proteins in plasma for humans and monkeys between young and aged. Western blotting and behavioral experiment in mice were performed to validate the expression of the candidate protein. RESULTS: Between the young / the old humans and the young / the old monkeys 74 and 69 proteins were found to be differently expressed, respectively. For the human samples, these included 38 up-regulated proteins and 36 down-regulated proteins (a fold change ≥1.3 or ≤ 0.667, p value ≤0.05).For the monkey samples, 51 up-regulated proteins and 18 down-regulated proteins (a fold change ≥1.3 or ≤ 0.667, p value ≤0.05). KEGG pathway analysis revealed that phagosome, focal adhesion, ECM-receptor interaction and PI3K/AKT signaling pathway were the most common pathways involved in aging. We found only IGFBP4 protein that existed in up-regulated proteins in aged both for human and monkey. In addition, the differential expression of IGFBP4 was validated by western blot analysis and IGFBP4 treatment mimicked aging-related cognitive dysfunction in mice. CONCLUSIONS: This first, the integrated proteomics for the plasma protein of human and monkey reveal one protein-IGFBP4, which was validated by western blotting and behavioral analysis can promote the process of aging. And, iTRAQ analysis showed that proteolytic systems, and inflammatory responses plays an important role in the process of aging. These findings provide a basis for better understanding of the underlying mechanisms involved in aging. BioMed Central 2019-10-11 /pmc/articles/PMC6788010/ /pubmed/31601169 http://dx.doi.org/10.1186/s12864-019-6089-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Hao
Zhu, Xiaoqi
Shen, Junyan
Zhao, En-Feng
He, Dajun
Shen, Haitao
Liu, Hailiang
Zhou, Yongxin
Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey
title Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey
title_full Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey
title_fullStr Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey
title_full_unstemmed Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey
title_short Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey
title_sort quantitative itraq-based proteomic analysis of differentially expressed proteins in aging in human and monkey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788010/
https://www.ncbi.nlm.nih.gov/pubmed/31601169
http://dx.doi.org/10.1186/s12864-019-6089-z
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