Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions

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

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

34 Scopus citations

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.

Original languageEnglish
Article number4026
JournalScientific Reports
Volume7
Issue number1
DOIs
StatePublished - 01 12 2017

Bibliographical note

Publisher Copyright:
© The Author(s) 2017.

Fingerprint

Dive into the research topics of 'Proteome profiling reveals novel biomarkers to identify complicated parapneumonic effusions'. Together they form a unique fingerprint.

Cite this