Literature DB >> 31059701

Quantitative proteomics of changes in succinylated proteins expression profiling in left appendages tissue from valvular heart disease patients with atrial fibrillation.

Fan Bai1, Tao Tu1, Fen Qin1, Yingxu Ma1, Na Liu1, Yaozhong Liu1, Xiaobo Liao2, Shenghua Zhou1, Qiming Liu3.   

Abstract

BACKGROUND: Previous studies have suggested that proteomic modifications are closely associated with cardiovascular diseases. The aim of this study was to identify potential mechanisms by profiling the changes in succinylated protein expression in left appendage tissues from patients with valvular heart disease and atrial fibrillation (AF).
METHODS: Using dimethyl labeling for relative and absolute quantification-coupled high-performance liquid chromatography-tandem mass spectrometry, we analyzed the proteomics profiles and succinylation events in 18 left atrial appendage tissue samples from patients who underwent cardiac valvular surgery, including nine patients with permanent AF and nine patients with sinus rhythm (SR).
RESULTS: In total, after setting the quantification ratio > 1.3 and < 1:1.3 representing the up- and downregulated cutoff values, respectively, 132 proteins were classified as targets of upregulation and 117 proteins as targets of downregulation. Within these proteins, 246 sites exhibited upregulated succinylation and 45 sites exhibited downregulated succinylation. Protein-protein interaction networks showed that the proteins exhibiting lysine succinylation and AF status were highly enriched in energy metabolism, extracellular matrix-related, and cellular structure-related proteins. These results were confirmed by western blot.
CONCLUSIONS: The differences in succinylation level of energy metabolism-related proteins indicates the possible involvement of these proteins in AF of valvular heart disease patients, and provide insight for further analysis of their biological functions.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Isobaric tag for relative and absolute quantification; Proteomics; Succinylation

Mesh:

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Year:  2019        PMID: 31059701     DOI: 10.1016/j.cca.2019.05.002

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  4 in total

1.  Integrative transcriptomic, proteomic, and machine learning approach to identifying feature genes of atrial fibrillation using atrial samples from patients with valvular heart disease.

Authors:  Yaozhong Liu; Fan Bai; Zhenwei Tang; Na Liu; Qiming Liu
Journal:  BMC Cardiovasc Disord       Date:  2021-01-28       Impact factor: 2.298

2.  TMT-based quantitative proteomic analysis reveals defense mechanism of wheat against the crown rot pathogen Fusarium pseudograminearum.

Authors:  Fangfang Qiao; Xiwen Yang; Fengdan Xu; Yuan Huang; Jiemei Zhang; Miao Song; Sumei Zhou; Meng Zhang; Dexian He
Journal:  BMC Plant Biol       Date:  2021-02-08       Impact factor: 4.215

Review 3.  The Role of Posttranslational Modification and Mitochondrial Quality Control in Cardiovascular Diseases.

Authors:  Jinlin Liu; Li Zhong; Rui Guo
Journal:  Oxid Med Cell Longev       Date:  2021-02-18       Impact factor: 6.543

4.  Plasma Proteome Profiling of Patients With In-stent Restenosis by Tandem Mass Tag-Based Quantitative Proteomics Approach.

Authors:  Jingyuan Hou; Qiaoting Deng; Sudong Liu; Xiaohong Qiu; Xunwei Deng; Wei Zhong; Zhixiong Zhong
Journal:  Front Cardiovasc Med       Date:  2022-02-21
  4 in total

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