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

  • Thatcha Yimthin
  • , Jacqueline Margaret Cliff
  • , Rungnapa Phunpang
  • , Peeraya Ekchariyawat
  • , Taniya Kaewarpai
  • , Ji Sook Lee
  • , Clare Eckold
  • , Megan Andrada
  • , Ekkachai Thiansukhon
  • , Kittisak Tanwisaid
  • , Somchai Chuananont
  • , Chumpol Morakot
  • , Narongchai Sangsa
  • , Wirayut Silakun
  • , Sunee Chayangsu
  • , Noppol Buasi
  • , Nicholas Day
  • , Ganjana Lertmemongkolchai
  • , Wasun Chantratita
  • , T. Eoin West
  • Narisara Chantratita
  • Faculty of Tropical Medicine, Mahidol University
  • London School of Hygiene and Tropical Medicine
  • Imperial College London
  • University of Hawaii John A. Burns School of Medicine
  • Udon Thani Hospital
  • Nakhon Phanom Hospital
  • Mukdahan Hospital
  • Roi Et Hospital
  • Buriram Hospital
  • Surin Hospital
  • Sisaket Hospital
  • Nuffield Department of Medicine
  • Khon Kaen University
  • Chiang Mai University
  • Harborview Medical Center

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)8-18
Number of pages11
JournalEmerging Microbes and Infections
Volume10
Issue number1
DOIs
Publication statusPublished - 2021

Keywords

  • Burkholderia pseudomallei
  • RNA-sequencing
  • biomarkers
  • immune response
  • melioidosis
  • outcome
  • transcriptomics

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