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Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis

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 melio...

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Autores principales: Yimthin, Thatcha, Cliff, Jacqueline Margaret, Phunpang, Rungnapa, Ekchariyawat, Peeraya, Kaewarpai, Taniya, Lee, Ji-Sook, Eckold, Clare, Andrada, Megan, Thiansukhon, Ekkachai, Tanwisaid, Kittisak, Chuananont, Somchai, Morakot, Chumpol, Sangsa, Narongchai, Silakun, Wirayut, Chayangsu, Sunee, Buasi, Noppol, Day, Nicholas, Lertmemongkolchai, Ganjana, Chantratita, Wasun, Eoin West, T., Chantratita, Narisara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832033/
https://www.ncbi.nlm.nih.gov/pubmed/33256556
http://dx.doi.org/10.1080/22221751.2020.1858176
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author Yimthin, Thatcha
Cliff, Jacqueline Margaret
Phunpang, Rungnapa
Ekchariyawat, Peeraya
Kaewarpai, Taniya
Lee, Ji-Sook
Eckold, Clare
Andrada, Megan
Thiansukhon, Ekkachai
Tanwisaid, Kittisak
Chuananont, Somchai
Morakot, Chumpol
Sangsa, Narongchai
Silakun, Wirayut
Chayangsu, Sunee
Buasi, Noppol
Day, Nicholas
Lertmemongkolchai, Ganjana
Chantratita, Wasun
Eoin West, T.
Chantratita, Narisara
author_facet Yimthin, Thatcha
Cliff, Jacqueline Margaret
Phunpang, Rungnapa
Ekchariyawat, Peeraya
Kaewarpai, Taniya
Lee, Ji-Sook
Eckold, Clare
Andrada, Megan
Thiansukhon, Ekkachai
Tanwisaid, Kittisak
Chuananont, Somchai
Morakot, Chumpol
Sangsa, Narongchai
Silakun, Wirayut
Chayangsu, Sunee
Buasi, Noppol
Day, Nicholas
Lertmemongkolchai, Ganjana
Chantratita, Wasun
Eoin West, T.
Chantratita, Narisara
author_sort Yimthin, Thatcha
collection PubMed
description 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.
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spelling pubmed-78320332021-02-02 Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis Yimthin, Thatcha Cliff, Jacqueline Margaret Phunpang, Rungnapa Ekchariyawat, Peeraya Kaewarpai, Taniya Lee, Ji-Sook Eckold, Clare Andrada, Megan Thiansukhon, Ekkachai Tanwisaid, Kittisak Chuananont, Somchai Morakot, Chumpol Sangsa, Narongchai Silakun, Wirayut Chayangsu, Sunee Buasi, Noppol Day, Nicholas Lertmemongkolchai, Ganjana Chantratita, Wasun Eoin West, T. Chantratita, Narisara Emerg Microbes Infect Research Article 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. Taylor & Francis 2021-01-17 /pmc/articles/PMC7832033/ /pubmed/33256556 http://dx.doi.org/10.1080/22221751.2020.1858176 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yimthin, Thatcha
Cliff, Jacqueline Margaret
Phunpang, Rungnapa
Ekchariyawat, Peeraya
Kaewarpai, Taniya
Lee, Ji-Sook
Eckold, Clare
Andrada, Megan
Thiansukhon, Ekkachai
Tanwisaid, Kittisak
Chuananont, Somchai
Morakot, Chumpol
Sangsa, Narongchai
Silakun, Wirayut
Chayangsu, Sunee
Buasi, Noppol
Day, Nicholas
Lertmemongkolchai, Ganjana
Chantratita, Wasun
Eoin West, T.
Chantratita, Narisara
Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis
title Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis
title_full Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis
title_fullStr Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis
title_full_unstemmed Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis
title_short Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis
title_sort blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7832033/
https://www.ncbi.nlm.nih.gov/pubmed/33256556
http://dx.doi.org/10.1080/22221751.2020.1858176
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