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DC Field | Value | Language |
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dc.contributor.author | Yimthin, T | - |
dc.contributor.author | Cliff, JM | - |
dc.contributor.author | Phunpang, R | - |
dc.contributor.author | Ekchariyawat, P | - |
dc.contributor.author | Kaewarpai, T | - |
dc.contributor.author | Lee, JS | - |
dc.contributor.author | Eckold, C | - |
dc.contributor.author | Andrada, M | - |
dc.contributor.author | Thiansukhon, E | - |
dc.contributor.author | Tanwisaid, K | - |
dc.contributor.author | Chuananont, S | - |
dc.contributor.author | Morakot, C | - |
dc.contributor.author | Sangsa, N | - |
dc.contributor.author | Silakun, W | - |
dc.contributor.author | Chayangsu, S | - |
dc.contributor.author | Buasi, N | - |
dc.contributor.author | Day, N | - |
dc.contributor.author | Lertmemongkolchai, G | - |
dc.contributor.author | Chantratita, W | - |
dc.contributor.author | Eoin West, T | - |
dc.contributor.author | Chantratita, N | - |
dc.date.accessioned | 2023-03-09T12:19:42Z | - |
dc.date.available | 2021-01-01 | - |
dc.date.available | 2023-03-09T12:19:42Z | - |
dc.date.issued | 2020-12-01 | - |
dc.identifier | 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. | - |
dc.identifier.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. | en_US |
dc.identifier.uri | http:s//bura.brunel.ac.uk/handle/2438/26095 | - |
dc.description | Supplemental materials: available online at https://www.tandfonline.com/doi/full/10.1080/22221751.2020.1858176#supplemental-material-section | en_US |
dc.description.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. | en_US |
dc.description.sponsorship | The Royal Society, UK and the Office of the Higher Education Commission of Thailand under Newton Mobility Grant Award (grant number NI170152); National Institute of Allergy and Infectious Diseases of the National Institutes of Health, USA (grant number U01AI115520). | en_US |
dc.format.extent | 8 - 18 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Routledge (Taylor & Francis Group) | en_US |
dc.rights | 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. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | RNA-sequencing | en_US |
dc.subject | transcriptomics | en_US |
dc.subject | melioidosis | en_US |
dc.subject | biomarkers | en_US |
dc.subject | Burkholderia pseudomallei | en_US |
dc.subject | outcome | en_US |
dc.subject | immune response | en_US |
dc.title | Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1080/22221751.2020.1858176 | - |
dc.relation.isPartOf | Emerging Microbes and Infections | - |
pubs.issue | 1 | - |
pubs.publication-status | Published | - |
pubs.volume | 10 | - |
dc.identifier.eissn | 2222-1751 | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Life Sciences Research Papers |
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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