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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | Copyright © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., LtdThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrest-ricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | 2.91 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License