Yimthin, Thatcha; Cliff, Jacqueline Margaret; Phunpang, Rungnapa; Ekchariyawat, Peeraya; Kaewarpai, Taniya; Lee, Ji-Sook; Eckold, Clare; Andrada, Megan; Thiansukhon, Ekkachai; Tanwisaid, Kittisak; +11 more... Chuananont, Somchai; Morakot, Chumpol; Sangsa, Narongchai; Silakun, Wirayut; Chayangsu, Sunee; Buasi, Noppol; Day, Nicholas; Lertmemongkolchai, Ganjana; Chantratita, Wasun; Eoin West, T; Chantratita, Narisara; (2020) Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis. Emerging microbes & infections, 10 (1). pp. 8-18. ISSN 2222-1751 DOI: https://doi.org/10.1080/22221751.2020.1858176
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Abstract
Melioidosis is an often lethal tropical disease caused by the Gram-negative bacillus, Burkholderia pseudomallei. The study objective was to characterize transcriptomes in melioidosis patients and identify genes associated with outcome. Whole blood RNA-seq was performed in a discovery set of 29 melioidosis patients and 3 healthy controls. Transcriptomic profiles of patients who did not survive to 28 days were compared with patients who survived and healthy controls, showing 65 genes were significantly up-regulated and 218 were down-regulated in non-survivors compared to survivors. Up-regulated genes were involved in myeloid leukocyte activation, Toll-like receptor cascades and reactive oxygen species metabolic processes. Down-regulated genes were hematopoietic cell lineage, adaptive immune system and lymphocyte activation pathways. RT-qPCR was performed for 28 genes in a validation set of 60 melioidosis patients and 20 healthy controls, confirming differential expression. IL1R2, GAS7, S100A9, IRAK3, and NFKBIA were significantly higher in non-survivors compared with survivors (P < 0.005) and healthy controls (P < 0.0001). The AUROCC of these genes for mortality discrimination ranged from 0.80-0.88. In survivors, expression of IL1R2, S100A9 and IRAK3 genes decreased significantly over 28 days (P < 0.05). These findings augment our understanding of this severe infection, showing expression levels of specific genes are potential biomarkers to predict melioidosis outcomes.
Item Type | Article |
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Faculty and Department |
Faculty of Infectious and Tropical Diseases > ITD Distance Learning Faculty of Infectious and Tropical Diseases > Department of Infection Biology |
PubMed ID | 33256556 |
Elements ID | 154303 |
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Filename: Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis.pdf
Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 3.0
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