Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26095
Title: Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis
Authors: Yimthin, T
Cliff, JM
Phunpang, R
Ekchariyawat, P
Kaewarpai, T
Lee, JS
Eckold, C
Andrada, M
Thiansukhon, E
Tanwisaid, K
Chuananont, S
Morakot, C
Sangsa, N
Silakun, W
Chayangsu, S
Buasi, N
Day, N
Lertmemongkolchai, G
Chantratita, W
Eoin West, T
Chantratita, N
Keywords: RNA-sequencing;transcriptomics;melioidosis;biomarkers;Burkholderia pseudomallei;outcome;immune response
Issue Date: 1-Dec-2020
Publisher: Routledge (Taylor & Francis Group)
Citation: Yimthin, T. et al. (2021) 'Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis', Emerging Microbes and Infections, 10 (1), pp. 8 - 18. doi: 10.1080/22221751.2020.1858176.
Abstract: Copyright © 2021 The Author(s). 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.
Description: Supplemental materials: available online at https://www.tandfonline.com/doi/full/10.1080/22221751.2020.1858176#supplemental-material-section
URI: http:s//bura.brunel.ac.uk/handle/2438/26095
DOI: https://doi.org/10.1080/22221751.2020.1858176
Other Identifiers: ORCID iDs: Jacqueline M Cliff https://orcid.org/0000-0002-5653-1818; Ji-Sook Lee https://orcid.org/0000-0003-1747-9700; T. Eoin West https://orcid.org/0000-0001-5503-7204; Narisara Chantratita https://orcid.org/0000-0003-3906-7379.
Appears in Collections:Dept of Life Sciences Research Papers

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