Literature DB >> 30791695

Potential biomarkers for antidiastole of tuberculous and malignant pleural effusion by proteome analysis.

Jing Shi1, Pu Li2, Lijin Zhou2, Suwen Qi3, Bo Wang2, Dandan Li2, Liang Duan2, Wei Xian Chen2, Jirong Xia1, Lin Zou1, Shuangshuang Yang1.   

Abstract

AIM: To investigate novel potential biomarkers for antidiastole of tuberculous pleural effusion (TPE) from malignant pleural effusion (MPE). MATERIALS &
METHODS: iTRAQTM-coupled LC-MS/MS were applied to analyze the proteome of TPE and MPE samples. The candidate proteins were verified by enzyme-linked immunosorbent assay.
RESULTS: A total of 432 differential proteins were identified. Enzyme-linked immunosorbent assay revealed significantly higher levels of fibronectin (FN) and cathepsin G (CTSG) in MPE than in TPE, but lower levels of leukotriene-A4 hydrolase (LTA4H). The receiver operator characteristic values were 0.285 for FN, 0.64 for LTA4H, 0.337 for CTSG and 0.793 for a combination of these candidate markers.
CONCLUSION: FN, LTA4H and CTSG were identified as potential biomarkers to differentiate TPE from MPE and their combination exhibited higher diagnostic capacity.

Entities:  

Keywords:  cathepsin G; fibronectin; iTRAQTM; leukotriene-A4 hydrolase; lung cancer; malignant pleural effusion; potential biomarkers; quantitative proteomic analyze; tuberculosis; tuberculous pleural effusion

Year:  2019        PMID: 30791695     DOI: 10.2217/bmm-2018-0200

Source DB:  PubMed          Journal:  Biomark Med        ISSN: 1752-0363            Impact factor:   2.851


  3 in total

1.  Machine learning applied to near-infrared spectra for clinical pleural effusion classification.

Authors:  Zhongjian Chen; Keke Chen; Yan Lou; Jing Zhu; Weimin Mao; Zhengbo Song
Journal:  Sci Rep       Date:  2021-05-03       Impact factor: 4.379

2.  Novel clinical biomarkers in blood and pleural effusion for diagnosing patients with tuberculosis distinguishing from malignant tumor.

Authors:  Jian Wang; Zhe-Xiang Feng; Tao Ren; Wei-Yu Meng; Imran Khan; Xing-Xing Fan; Hu-Dan Pan; Liang Liu; Yi-Jun Tang; Xiao-Jun Yao; Run-Ze Li; Mei-Fang Wang; Elaine Lai-Han Leung
Journal:  Medicine (Baltimore)       Date:  2022-10-14       Impact factor: 1.817

3.  Pleural Fluid GSDMD Is a Novel Biomarker for the Early Differential Diagnosis of Pleural Effusion.

Authors:  Pu Li; Jing Shi; Lijing Zhou; Bo Wang; Li Jun Zhang; Liang Duan; Qin Hu; Xiaolan Zhou; Yuan Yuan; Dandan Li; Hong Chen; Qing Zhao; Xuemei Peng; Weixian Chen
Journal:  Front Microbiol       Date:  2021-06-07       Impact factor: 5.640

  3 in total

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