A transcriptional blood signature distinguishes early tuberculosis disease from latent tuberculosis infection and uninfected individuals in a Vietnamese cohort

A transcriptional blood signature distinguishes early tuberculosis disease from latent tuberculosis infection and uninfected individuals in a Vietnamese cohort.

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Item Type: Article
Status: Published
Official URL: https://doi.org/10.1016/j.jinf.2020.03.066
Journal or Publication Title: Journal of Infection
Volume: 81
Number: 1
Page Range: pp. 72-80
Date: 2020
Divisions: Tuberculosis
Depositing User: General Admin
Identification Number: 10.1016/j.jinf.2020.03.066
ISSN: 01634453
Date Deposited: 04 Jan 2021 03:16
Abstract:

Objectives
Global tuberculosis (TB) control is restricted by the failure to detect an estimated 3.3 million TB cases annually. In the majority of TB endemic settings, sputum smear microscopy is used to diagnose TB, but this test is insensitive for TB in its early stages. The objective of this study is to establish a concise gene signature that discriminates between individuals with early TB disease, latent TB infection (LTBI) and those without infection.

Methods
This is a case control study nested within a cluster-randomised trial of population screening for active TB using Xpert MTB/RIF. Whole blood samples from 303 participants with active TB (97), LTBI (92) and uninfected individuals (114) were subject to transcriptomic analysis of selected target genes based on a systematic review of previous studies.

Results
Analysis of 82 genes identified a pattern of differentially expressed genes in TB disease. A seven gene signature was identified that distinguished between TB disease and no TB disease with an AUC of 0.86 (95% CI: 0.80–0.91), and between TB disease from LTBI with an AUC of 0.88 (95% CI: 0.82–0.93).

Conclusion
This gene signature accurately distinguishes early TB disease from those without TB disease or infection, in the context of community-wide TB screening. It could be used as a non-sputum based screening tool or triage test to detect prevalent cases of TB in the community.

Creators:
Creators
Email
Ho, Jennifer
UNSPECIFIED
Bokil, Nilesh J.
UNSPECIFIED
Nguyen, Phuong Thi Bich
UNSPECIFIED
Nguyen, Thu Anh
UNSPECIFIED
Liu, Michael Y.
UNSPECIFIED
Hare, Nathan
UNSPECIFIED
Fox, Greg J.
UNSPECIFIED
Saunders, Bernadette M.
UNSPECIFIED
Marks, Guy B.
UNSPECIFIED
Britton, Warwick J.
UNSPECIFIED
Last Modified: 04 Jan 2021 03:16
URI: https://eprints.centenary.org.au/id/eprint/745

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