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DOI 10.1080/22221751.2020.1858176

Медицинская библиотека · Emerging microbes & infections · 2021

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

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Аннотация

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.

Для цитирования: 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.. Emerging microbes & infections. 2021. DOI: 10.1080/22221751.2020.1858176.

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