Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions

Abstract Patients with pneumonia and parapneumonic effusion (PPE) have elevated mortality and a poor prognosis. The aim of this study was to discover novel biomarkers to help distinguish between uncomplicated PPE (UPPE) and complicated PPE (CPPE). Using an iTRAQ-based quantitative proteomics, we ide...

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Autores principales:	Kuo-An Wu, Chih-Ching Wu, Chi-De Chen, Chi-Ming Chu, Li-Jane Shih, Yu-Ching Liu, Chih-Liang Wang, Hsi-Hsien Lin, Chia-Yu Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d8c60a099bf64523874e7cc8dc2a09db
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spelling	oai:doaj.org-article:d8c60a099bf64523874e7cc8dc2a09db2021-12-02T16:06:04ZProteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions10.1038/s41598-017-04189-42045-2322https://doaj.org/article/d8c60a099bf64523874e7cc8dc2a09db2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04189-4https://doaj.org/toc/2045-2322Abstract Patients with pneumonia and parapneumonic effusion (PPE) have elevated mortality and a poor prognosis. The aim of this study was to discover novel biomarkers to help distinguish between uncomplicated PPE (UPPE) and complicated PPE (CPPE). Using an iTRAQ-based quantitative proteomics, we identified 766 proteins in pleural effusions from PPE patients. In total, 45 of these proteins were quantified as upregulated proteins in CPPE. Four novel upregulated candidates (BPI, NGAL, AZU1, and calprotectin) were selected and further verified using enzyme-linked immunosorbent assays (ELISAs) on 220 patients with pleural effusions due to different causes. The pleural fluid levels of BPI, NGAL, AZU1, and calprotectin were significantly elevated in patients with CPPE. Among these four biomarkers, BPI had the best diagnostic value for CPPE, with an AUC value of 0.966, a sensitivity of 97%, and a specificity of 91.4%. A logistic regression analysis demonstrated a strong association between BPI levels > 10 ng/ml and CPPE (odds ratio = 341.3). Furthermore, the combination of pleural fluid BPI levels with LDH levels improved the sensitivity and specificity to 100% and 91.4%, respectively. Thus, our findings provided a comprehensive effusion proteome data set for PPE biomarker discovery and revealed novel biomarkers for the diagnosis of CPPE.Kuo-An WuChih-Ching WuChi-De ChenChi-Ming ChuLi-Jane ShihYu-Ching LiuChih-Liang WangHsi-Hsien LinChia-Yu YangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kuo-An Wu Chih-Ching Wu Chi-De Chen Chi-Ming Chu Li-Jane Shih Yu-Ching Liu Chih-Liang Wang Hsi-Hsien Lin Chia-Yu Yang Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions
description	Abstract Patients with pneumonia and parapneumonic effusion (PPE) have elevated mortality and a poor prognosis. The aim of this study was to discover novel biomarkers to help distinguish between uncomplicated PPE (UPPE) and complicated PPE (CPPE). Using an iTRAQ-based quantitative proteomics, we identified 766 proteins in pleural effusions from PPE patients. In total, 45 of these proteins were quantified as upregulated proteins in CPPE. Four novel upregulated candidates (BPI, NGAL, AZU1, and calprotectin) were selected and further verified using enzyme-linked immunosorbent assays (ELISAs) on 220 patients with pleural effusions due to different causes. The pleural fluid levels of BPI, NGAL, AZU1, and calprotectin were significantly elevated in patients with CPPE. Among these four biomarkers, BPI had the best diagnostic value for CPPE, with an AUC value of 0.966, a sensitivity of 97%, and a specificity of 91.4%. A logistic regression analysis demonstrated a strong association between BPI levels > 10 ng/ml and CPPE (odds ratio = 341.3). Furthermore, the combination of pleural fluid BPI levels with LDH levels improved the sensitivity and specificity to 100% and 91.4%, respectively. Thus, our findings provided a comprehensive effusion proteome data set for PPE biomarker discovery and revealed novel biomarkers for the diagnosis of CPPE.
format	article
author	Kuo-An Wu Chih-Ching Wu Chi-De Chen Chi-Ming Chu Li-Jane Shih Yu-Ching Liu Chih-Liang Wang Hsi-Hsien Lin Chia-Yu Yang
author_facet	Kuo-An Wu Chih-Ching Wu Chi-De Chen Chi-Ming Chu Li-Jane Shih Yu-Ching Liu Chih-Liang Wang Hsi-Hsien Lin Chia-Yu Yang
author_sort	Kuo-An Wu
title	Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions
title_short	Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions
title_full	Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions
title_fullStr	Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions
title_full_unstemmed	Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions
title_sort	proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/d8c60a099bf64523874e7cc8dc2a09db
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_version_	1718385119143657472

Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions

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