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

Hao Wang, Xiaoqi Zhu, Junyan Shen, Enfeng Zhao, Dajun He, Haitao Shen, Hailiang Liu, Yongxin Zhou

BMC Genomics · 2019 · ▲ 28 citations

Abstract

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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Provenance

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OpenAlex
DOI
10.1186/s12864-019-6089-z
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2026-07-22 MST

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APA
Wang, H., Zhu, X., Shen, J., Zhao, E., He, D., Shen, H., Liu, H., &amp; Zhou, Y. (2019). Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey. <em>BMC Genomics</em>. https://doi.org/10.1186/s12864-019-6089-z
Vancouver
Wang H, Zhu X, Shen J, Zhao E, He D, Shen H, et al. Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey. BMC Genomics. 2019. doi:10.1186/s12864-019-6089-z.
BibTeX
@article{hao2019Quanti, title = {Quantitative iTRAQ-based proteomic analysis of differentially expressed proteins in aging in human and monkey}, author = {Hao Wang and Xiaoqi Zhu and Junyan Shen and Enfeng Zhao and Dajun He and Haitao Shen and Hailiang Liu and Yongxin Zhou}, journal = {BMC Genomics}, year = {2019}, doi = {10.1186/s12864-019-6089-z}, }

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