Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26095
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dc.contributor.authorYimthin, T-
dc.contributor.authorCliff, JM-
dc.contributor.authorPhunpang, R-
dc.contributor.authorEkchariyawat, P-
dc.contributor.authorKaewarpai, T-
dc.contributor.authorLee, JS-
dc.contributor.authorEckold, C-
dc.contributor.authorAndrada, M-
dc.contributor.authorThiansukhon, E-
dc.contributor.authorTanwisaid, K-
dc.contributor.authorChuananont, S-
dc.contributor.authorMorakot, C-
dc.contributor.authorSangsa, N-
dc.contributor.authorSilakun, W-
dc.contributor.authorChayangsu, S-
dc.contributor.authorBuasi, N-
dc.contributor.authorDay, N-
dc.contributor.authorLertmemongkolchai, G-
dc.contributor.authorChantratita, W-
dc.contributor.authorEoin West, T-
dc.contributor.authorChantratita, N-
dc.date.accessioned2023-03-09T12:19:42Z-
dc.date.available2021-01-01-
dc.date.available2023-03-09T12:19:42Z-
dc.date.issued2020-12-01-
dc.identifierORCID 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.citationYimthin, 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.urihttp:s//bura.brunel.ac.uk/handle/2438/26095-
dc.descriptionSupplemental materials: available online at https://www.tandfonline.com/doi/full/10.1080/22221751.2020.1858176#supplemental-material-sectionen_US
dc.description.abstractCopyright © 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.sponsorshipThe 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.extent8 - 18-
dc.format.mediumElectronic-
dc.language.isoen_USen_US
dc.publisherRoutledge (Taylor & Francis Group)en_US
dc.rightsCopyright © 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.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectRNA-sequencingen_US
dc.subjecttranscriptomicsen_US
dc.subjectmelioidosisen_US
dc.subjectbiomarkersen_US
dc.subjectBurkholderia pseudomalleien_US
dc.subjectoutcomeen_US
dc.subjectimmune responseen_US
dc.titleBlood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosisen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1080/22221751.2020.1858176-
dc.relation.isPartOfEmerging Microbes and Infections-
pubs.issue1-
pubs.publication-statusPublished-
pubs.volume10-
dc.identifier.eissn2222-1751-
dc.rights.holderThe Author(s)-
Appears in Collections:Dept of Life Sciences Research Papers

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