Publication: Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis
dc.contributor.author | Thatcha Yimthin | en_US |
dc.contributor.author | Jacqueline Margaret Cliff | en_US |
dc.contributor.author | Rungnapa Phunpang | en_US |
dc.contributor.author | Peeraya Ekchariyawat | en_US |
dc.contributor.author | Taniya Kaewarpai | en_US |
dc.contributor.author | Ji Sook Lee | en_US |
dc.contributor.author | Clare Eckold | en_US |
dc.contributor.author | Megan Andrada | en_US |
dc.contributor.author | Ekkachai Thiansukhon | en_US |
dc.contributor.author | Kittisak Tanwisaid | en_US |
dc.contributor.author | Somchai Chuananont | en_US |
dc.contributor.author | Chumpol Morakot | en_US |
dc.contributor.author | Narongchai Sangsa | en_US |
dc.contributor.author | Wirayut Silakun | en_US |
dc.contributor.author | Sunee Chayangsu | en_US |
dc.contributor.author | Noppol Buasi | en_US |
dc.contributor.author | Nicholas Day | en_US |
dc.contributor.author | Ganjana Lertmemongkolchai | en_US |
dc.contributor.author | Wasun Chantratita | en_US |
dc.contributor.author | T. Eoin West | en_US |
dc.contributor.author | Narisara Chantratita | en_US |
dc.contributor.other | Udon Thani Center Hospital | en_US |
dc.contributor.other | London School of Hygiene & Tropical Medicine | en_US |
dc.contributor.other | Surin Hospital | en_US |
dc.contributor.other | Khon Kaen University | en_US |
dc.contributor.other | Faculty of Medicine Ramathibodi Hospital, Mahidol University | en_US |
dc.contributor.other | Imperial College London | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.contributor.other | Nuffield Department of Medicine | en_US |
dc.contributor.other | John A. Burns School of Medicine | en_US |
dc.contributor.other | Harborview Medical Center | en_US |
dc.contributor.other | Chiang Mai University | en_US |
dc.contributor.other | Sisaket Hospital | en_US |
dc.contributor.other | Roi Et Hospital | en_US |
dc.contributor.other | Nakhon Phanom Hospital | en_US |
dc.contributor.other | Mukdahan Hospital | en_US |
dc.contributor.other | Buriram Hospital | en_US |
dc.date.accessioned | 2022-08-04T08:53:25Z | |
dc.date.available | 2022-08-04T08:53:25Z | |
dc.date.issued | 2021-01-01 | en_US |
dc.description.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. | en_US |
dc.identifier.citation | Emerging Microbes and Infections. Vol.10, No.1 (2021), 8-18 | en_US |
dc.identifier.doi | 10.1080/22221751.2020.1858176 | en_US |
dc.identifier.issn | 22221751 | en_US |
dc.identifier.other | 2-s2.0-85099684166 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/77358 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099684166&origin=inward | en_US |
dc.subject | Immunology and Microbiology | en_US |
dc.subject | Medicine | en_US |
dc.subject | Pharmacology, Toxicology and Pharmaceutics | 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 |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099684166&origin=inward | en_US |