Literature DB >> 26923401

Quantitative protein profiling of hippocampus during human aging.

Benhong Xu1, Yanpan Gao1, Shaohua Zhan1, Feng Xiong1, Wenying Qiu2, Xiaojing Qian2, Tao Wang2, Naili Wang2, Di Zhang2, Qian Yang2, Renzhi Wang3, Xinjie Bao3, Wanchen Dou3, Rui Tian3, Shu Meng1, Wei-Ping Gai4, Yue Huang5, Xiao-Xin Yan6, Wei Ge7, Chao Ma8.   

Abstract

The hippocampus appears commonly affected by aging and various neurologic disorders in humans, whereas little is known about age-related change in overall protein expression in this brain structure. Using the 4-plex tandem mass tag labeling, we carried out a quantitative proteomic study of the hippocampus during normal aging using postmortem brains from Chinese subjects. Hippocampal samples from 16 subjects died of non-neurological/psychiatric diseases were divided into 4 age groups: 22-49, 50-69, 70-89, and >90. Among 4582 proteins analyzed, 35 proteins were significantly elevated, whereas 25 proteins were downregulated, along with increasing age. Several upregulated proteins, including transgelin, vimentin, myosin regulatory light polypeptide 9, and calcyphosin, were further verified by quantitative Western blot analysis of hippocampal tissues from additional normal subjects. Bioinformatic analysis showed that the upregulated and downregulated proteins were largely involved in several important protein-protein interaction networks. Proteins in the electron transport chain and synaptic vesicle fusion pathway were consistently downregulated with aging, whereas proteins associated with Alzheimer's disease showed little change. Our study demonstrates substantial protein profile changes in the human hippocampus during aging, which could be of relevance to age-related loss of hippocampal functions.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Brain aging; Electron transport chain; Proteomics; Synaptic vesicle fusion

Mesh:

Substances:

Year:  2015        PMID: 26923401     DOI: 10.1016/j.neurobiolaging.2015.11.029

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


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