scholarly journals Applying metabolomics to uncover novel biology in ARDS

2014 ◽  
Vol 306 (11) ◽  
pp. L957-L961 ◽  
Author(s):  
Angela J. Rogers ◽  
Michael A. Matthay

A better understanding of the pathogenesis and the resolution of the acute respiratory distress syndrome (ARDS) is needed. Although some progress has been made with the use of protein biomarkers and candidate gene studies in understanding the pathobiology of ARDS, we propose that new studies that measure the chemical breakdown products of cellular metabolism (metabolomics) may provide new insights into ARDS, in part because metabolomics targets a later point in the genomics cascade than is possible with studies of DNA, RNA, and protein biomarkers. Technological advances have made large-scale metabolomic profiling increasingly feasible. Metabolomic approaches have already achieved novel insights in nonpulmonary diseases such as diabetes mellitus and malignancy, as well as in sepsis, a major risk factor for developing ARDS. Metabolomic profiling is a promising approach to identify novel pathways in both patients at risk for developing ARDS as well as in the early phase of established ARDS.

2016 ◽  
Vol 31 (1) ◽  
pp. 139-143 ◽  
Author(s):  
Shao-Wei Chen ◽  
Chih-Hsiang Chang ◽  
Pao-Hsien Chu ◽  
Tien-Hsing Chen ◽  
Victor Chien-Chia Wu ◽  
...  

2015 ◽  
Vol 43 (2) ◽  
pp. 394-400 ◽  
Author(s):  
David S. Y. Ong ◽  
Peter M. C. Klein Klouwenberg ◽  
Frans M. Verduyn Lunel ◽  
Cristian Spitoni ◽  
Jos F. Frencken ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Jun Ying ◽  
Danfei Zhou ◽  
Tongjie Gu ◽  
Jianda Huang

Background. Severe pneumonia (SP) has been widely accepted as a major cause for acute respiratory distress syndrome (ARDS), and the development of ARDS is significantly associated with increased mortality. This study aimed to identify potential predictors for ARDS development in patients with SP. Methods. Eligible SP patients at admission from January 2013 to June 2017 were prospectively enrolled, and ARDS development within hospital stay was identified. Risk factors for ARDS development in SP patients were analyzed by univariate and multivariate logistic regression analysis. The receiver operating characteristic (ROC) curve analysis with the area under the curve (AUC) was performed for the predictive value of endocan for ARDS development. Results. A total of 145 SP patients were eventually enrolled into the final analysis, of which 37 developed ARDS during the hospital stay. Our final multivariate logistic regression analysis suggested plasma endocan expression as the only independent risk factor for ARDS development in SP patients (OR: 1.57, 95% CI: 1.14–2.25, P=0.021). ROC curve analysis of plasma endocan resulted in an AUC of 0.754, 95% CI of 0.642–0.866, a cutoff value of 11.6 ng/mL, a sensitivity of 78.7%, and a specificity of 70.3%, respectively (P<0.01). Conclusions. Endocan expression at ICU admission is a reliable predictive factor in predicting ARDS in patients with SP.


2016 ◽  
Vol 44 (12) ◽  
pp. 2182-2191 ◽  
Author(s):  
Graciela J. Soto ◽  
Daryl J. Kor ◽  
Pauline K. Park ◽  
Peter C. Hou ◽  
David A. Kaufman ◽  
...  

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