Literature DB >> 33256556

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

Thatcha Yimthin1, Jacqueline Margaret Cliff2, Rungnapa Phunpang3, Peeraya Ekchariyawat1,4, Taniya Kaewarpai1, Ji-Sook Lee2, Clare Eckold5, Megan Andrada6, Ekkachai Thiansukhon7, Kittisak Tanwisaid8, Somchai Chuananont8, Chumpol Morakot9, Narongchai Sangsa10, Wirayut Silakun11, Sunee Chayangsu12, Noppol Buasi13, Nicholas Day3,14, Ganjana Lertmemongkolchai15,16, Wasun Chantratita17, T Eoin West18, Narisara Chantratita1,3.   

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.

Entities:  

Keywords:  Burkholderia pseudomallei ; RNA-sequencing; biomarkers; immune response; melioidosis; outcome; transcriptomics

Mesh:

Substances:

Year:  2021        PMID: 33256556      PMCID: PMC7832033          DOI: 10.1080/22221751.2020.1858176

Source DB:  PubMed          Journal:  Emerg Microbes Infect        ISSN: 2222-1751            Impact factor:   7.163


  39 in total

1.  Association of the NFKBIA gene polymorphisms with susceptibility to autoimmune and inflammatory diseases: a meta-analysis.

Authors:  Guo-Long Zhang; Yan-Feng Zou; Xiao-Liang Feng; He-Jian Shi; Xu-Feng Du; Min-Hua Shao; Yong Gu; Qing Zhou
Journal:  Inflamm Res       Date:  2010-05-21       Impact factor: 4.575

Review 2.  S100A9 as a Pharmacological Target Molecule in Inflammation and Cancer.

Authors:  Tomas Leanderson; David Liberg; Fredrik Ivars
Journal:  Endocr Metab Immune Disord Drug Targets       Date:  2015       Impact factor: 2.895

3.  Activation of Toll-like receptors by Burkholderia pseudomallei.

Authors:  T Eoin West; Robert K Ernst; Malinka J Jansson-Hutson; Shawn J Skerrett
Journal:  BMC Immunol       Date:  2008-08-08       Impact factor: 3.615

4.  Eukaryotic pathways targeted by the type III secretion system effector protein, BipC, involved in the intracellular lifecycle of Burkholderia pseudomallei.

Authors:  Wen-Tyng Kang; Kumutha Malar Vellasamy; Jamuna Vadivelu
Journal:  Sci Rep       Date:  2016-09-16       Impact factor: 4.379

5.  Host gene expression analysis in Sri Lankan melioidosis patients.

Authors:  Shivankari Krishnananthasivam; Nimanthi Jayathilaka; Harindra Darshana Sathkumara; Enoka Corea; Mohan Natesan; Aruna Dharshan De Silva
Journal:  PLoS Negl Trop Dis       Date:  2017-06-19

6.  Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the identification of Burkholderia pseudomallei from Asia and Australia and differentiation between Burkholderia species.

Authors:  Vichaya Suttisunhakul; Apinya Pumpuang; Peeraya Ekchariyawat; Vanaporn Wuthiekanun; Mindy G Elrod; Paul Turner; Bart J Currie; Rattanaphone Phetsouvanh; David A B Dance; Direk Limmathurotsakul; Sharon J Peacock; Narisara Chantratita
Journal:  PLoS One       Date:  2017-04-06       Impact factor: 3.240

7.  Infection with Burkholderia pseudomallei - immune correlates of survival in acute melioidosis.

Authors:  Susanna J Dunachie; Kemajittra Jenjaroen; Catherine J Reynolds; Kathryn J Quigley; Ruhena Sergeant; Manutsanun Sumonwiriya; Panjaporn Chaichana; Suchintana Chumseng; Pitchayanant Ariyaprasert; Patricia Lassaux; Louise Gourlay; Charuporn Promwong; Prapit Teparrukkul; Direk Limmathurotsakul; Nicholas P J Day; Daniel M Altmann; Rosemary J Boyton
Journal:  Sci Rep       Date:  2017-09-22       Impact factor: 4.379

8.  A 2-Biomarker Model Augments Clinical Prediction of Mortality in Melioidosis.

Authors:  Shelton W Wright; Taniya Kaewarpai; Lara Lovelace-Macon; Deirdre Ducken; Viriya Hantrakun; Kristina E Rudd; Prapit Teparrukkul; Rungnapa Phunpang; Peeraya Ekchariyawat; Adul Dulsuk; Boonhthanom Moonmueangsan; Chumpol Morakot; Ekkachai Thiansukhon; Direk Limmathurotsakul; Narisara Chantratita; T Eoin West
Journal:  Clin Infect Dis       Date:  2021-03-01       Impact factor: 9.079

Review 9.  Dynamic monitoring of monocyte HLA-DR expression for the diagnosis, prognosis, and prediction of sepsis.

Authors:  Yugang Zhuang; Hu Peng; Yuanzhuo Chen; Shuqin Zhou; Yanqing Chen
Journal:  Front Biosci (Landmark Ed)       Date:  2017-03-01

10.  The Blood Transcriptome of Experimental Melioidosis Reflects Disease Severity and Shows Considerable Similarity with the Human Disease.

Authors:  Laura Conejero; Krzysztof Potempa; Christine M Graham; Anne O'Garra; Gregory J Bancroft; Natasha Spink; Simon Blankley; Francisco J Salguero; Rungnapa Pankla-Sranujit; Prasong Khaenam; Jacques F Banchereau; Virginia Pascual; Damien Chaussabel; Ganjana Lertmemongkolchai
Journal:  J Immunol       Date:  2015-08-26       Impact factor: 5.422

View more
  2 in total

Review 1.  Human Leukocyte Antigen (HLA) System: Genetics and Association with Bacterial and Viral Infections.

Authors:  Sadeep Medhasi; Narisara Chantratita
Journal:  J Immunol Res       Date:  2022-05-26       Impact factor: 4.493

2.  A systematic review and meta-analyses of interleukin-1 receptor associated kinase 3 (IRAK3) action on inflammation in in vivo models for the study of sepsis.

Authors:  Trang H Nguyen; Ilona Turek; Terri Meehan-Andrews; Anita Zacharias; Helen R Irving
Journal:  PLoS One       Date:  2022-02-15       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.