Literature DB >> 30485681

TMT-Based Quantitative Proteomic Analysis Reveals Proteomic Changes Involved in Longevity.

Zongkui Wang1, Rong Zhang1, Fengjuan Liu1, Peng Jiang1, Jun Xu2, Haijun Cao1, Xi Du1, Li Ma1, Fangzhao Lin1, Lu Cheng2, Xuefeng Zhou2, Zhihui Shi2, Yeheng Liu2, Yaojing Huang3, Shengliang Ye1, Changqing Li1.   

Abstract

PURPOSE: Individual lifespans vary widely, and longevity is the main concern from ancient to modern times. This study is aimed to identify plasma proteins associated with longevity by proteomics technique. EXPERIMENTAL
DESIGN: Tandem mass tags (TMT)-based proteomics analysis is performed for the plasma of Bama longevity group and a control group to analyze the differentially expressed proteins (DEPs). A validation set is used to verify the results of TMT-based proteomics.
RESULTS: Between Bama natives and the control individuals, the authors identify 175 DEPs, which are mainly involved in complement and coagulation cascades, metabolism of glyco and lipid, and regulation of actin cytoskeleton. Consistent with the proteomic analysis, plasma levels of MMP2, CCL5, and PF4 are significantly lower in Bama participants than in controls, whereas IGFBP2 and C9 increase in Bama individuals, in the validation set. By ROC analysis, combinations of these five proteins result in a high AUC value (0.991, 95% CI, 0.929-1.000, p < 0.0001) to distinguish longevous participants from controls. CONCLUSIONS AND CLINICAL RELEVANCE: The results highlight the roles of complement and coagulation cascades, metabolism of glyco and lipid, and inflammatory and immune response may play important roles in longevity. And the DEPs may serve as clinically useful biomarkers for healthy aging and predicting longevity.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  TMT; bama longevity hotspot; complement and coagulation cascades; gluconeogenesis/glycolysis; proteomics

Year:  2018        PMID: 30485681     DOI: 10.1002/prca.201800024

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  8 in total

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