Title |
Whole blood microRNA markers are associated with acute respiratory distress syndrome
|
---|---|
Published in |
Intensive Care Medicine Experimental, August 2017
|
DOI | 10.1186/s40635-017-0155-0 |
Pubmed ID | |
Authors |
Zhaozhong Zhu, Liming Liang, Ruyang Zhang, Yongyue Wei, Li Su, Paula Tejera, Yichen Guo, Zhaoxi Wang, Quan Lu, Andrea A. Baccarelli, Xi Zhu, Ednan K. Bajwa, B. Taylor Thompson, Guo-Ping Shi, David C. Christiani |
Abstract |
MicroRNAs (miRNAs) can play important roles in inflammation and infection, which are common manifestations of acute respiratory distress syndrome (ARDS). We assessed if whole blood miRNAs were potential diagnostic biomarkers for human ARDS. This nested case-control study (N = 530) examined a cohort of ARDS patients and critically ill at-risk controls. Whole blood miRNA profiles and logistic regression analyses identified miRNAs correlated with ARDS. Stratification analysis also assessed selected miRNA markers for their role in sepsis and pneumonia associated with ARDS. Receiver operating characteristic (ROC) analysis evaluated miRNA diagnostic performance, along with Lung Injury Prediction Score (LIPS). Statistical analyses were performed on 294 miRNAs, selected from 754 miRNAs after quality control screening. Logistic regression identified 22 miRNAs from a 156-patient discovery cohort as potential risk or protective markers of ARDS. Three miRNAs-miR-181a, miR-92a, and miR-424-from the discovery cohort remained significantly associated with ARDS in a 373-patient independent validation cohort (FDR q < 0.05) and meta-analysis (p < 0.001). ROC analyses demonstrated a LIPS baseline area-under-the-curve (AUC) value of ARDS of 0.708 (95% CI 0.651-0.766). Addition of miR-181a, miR-92a, and miR-424 to LIPS increased baseline AUC to 0.723 (95% CI 0.667-0.778), with a relative integrated discrimination improvement of 2.40 (p = 0.005) and a category-free net reclassification index of 27.21% (p = 0.01). miR-181a and miR-92a are risk biomarkers for ARDS, whereas miR-424 is a protective biomarker. Addition of these miRNAs to LIPS can improve the risk estimate for ARDS. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Libya | 1 | 20% |
Belgium | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 24% |
Student > Master | 4 | 11% |
Student > Bachelor | 4 | 11% |
Student > Ph. D. Student | 3 | 8% |
Other | 3 | 8% |
Other | 6 | 16% |
Unknown | 9 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 42% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Nursing and Health Professions | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Immunology and Microbiology | 1 | 3% |
Other | 1 | 3% |
Unknown | 14 | 37% |