Dataset Information

Age-Dependent Changes in the Plasma Proteome of Healthy Adults

ABSTRACT: Human blood plasma is a complex which communicates with most parts of the body and reflects changes in the state of the organism, therefore identifying age-related biomarkers can help to predict and monitor age-related physiological decline and diseases, as well as to find new treatments for diseases. In this study, TMT-LC-MS/MS was utilized to screen for the differentially expressed plasma proteins in 118 healthy adults with different ages. Participants were divided into three groups: 21-30 (Young), 41-50 (Middle) and ≥60 (Old), the number of differentially expressed proteins when Young vs Middle, Middle vs Old and Young vs Old were 82, 22 and 99, respectively. These proteins were found to be involved in numerous physiological processes such as “negative regulation of smooth muscle cell proliferation” and “blood coagulation”. Meanwhile when Young vs Middle or Old, “Complement and coagulation cascades” was confirmed the top enriched pathway by KEGG pathway enrichment analysis. Functional phenotyping of the proteome demonstrated that the plasma proteomic profiles of Young adults were strikingly dissimilar to the Middle or Old adults. The results of this study mapped the variation in expression of plasma proteins, and provided information about possible biomarkers/treatments for different kinds of age-related function disorders.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Plasma Cell

SUBMITTER: Rui Xu

LAB HEAD: Xiaoyi Xiong

PROVIDER: PXD016199 | Pride | 2020-10-19

REPOSITORIES: Pride

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Age-Dependent Changes in the Plasma Proteome of Healthy Adults.

Xu R R Gong C X CX Duan C M CM Huang J C JC Yang G Q GQ Yuan J J JJ Zhang Q Q Xiong X Y XY Yang Q W QW

The journal of nutrition, health & aging 20200101 8

<h4>Objective</h4>Human blood plasma is a complex that communicates with most parts of the body and reflects the changes in the state of an organism. Identifying age-related biomarkers can help predict and monitor age-related physiological decline and diseases and identify new treatments for diseases.<h4>Methods and participants</h4>In this study, TMT-LC-MS/MS was utilized to screen differentially expressed plasma proteins in 118 healthy adults of different ages. Participants were divided into t ...[more]

PMID: 33009535

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