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Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions
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 7...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481374/ https://www.ncbi.nlm.nih.gov/pubmed/28642494 http://dx.doi.org/10.1038/s41598-017-04189-4 |
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author | Wu, Kuo-An Wu, Chih-Ching Chen, Chi-De Chu, Chi-Ming Shih, Li-Jane Liu, Yu-Ching Wang, Chih-Liang Lin, Hsi-Hsien Yang, Chia-Yu |
author_facet | Wu, Kuo-An Wu, Chih-Ching Chen, Chi-De Chu, Chi-Ming Shih, Li-Jane Liu, Yu-Ching Wang, Chih-Liang Lin, Hsi-Hsien Yang, Chia-Yu |
author_sort | Wu, Kuo-An |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-5481374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54813742017-06-26 Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions Wu, Kuo-An Wu, Chih-Ching Chen, Chi-De Chu, Chi-Ming Shih, Li-Jane Liu, Yu-Ching Wang, Chih-Liang Lin, Hsi-Hsien Yang, Chia-Yu Sci Rep Article 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. Nature Publishing Group UK 2017-06-22 /pmc/articles/PMC5481374/ /pubmed/28642494 http://dx.doi.org/10.1038/s41598-017-04189-4 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wu, Kuo-An Wu, Chih-Ching Chen, Chi-De Chu, Chi-Ming Shih, Li-Jane Liu, Yu-Ching Wang, Chih-Liang Lin, Hsi-Hsien Yang, Chia-Yu Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions |
title | 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_short | Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions |
title_sort | proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5481374/ https://www.ncbi.nlm.nih.gov/pubmed/28642494 http://dx.doi.org/10.1038/s41598-017-04189-4 |
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