Are mRNA based transcriptomic signatures ready for diagnosing tuberculosis in the clinic? - A review of evidence and the technological landscape.


Journal

EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 13 01 2022
revised: 11 05 2022
accepted: 01 07 2022
pubmed: 20 7 2022
medline: 17 8 2022
entrez: 19 7 2022
Statut: ppublish

Résumé

Advances in discovery and validation of diagnostic, prognostic and treatment-monitoring transcriptomic signatures of tuberculosis (TB) disease could accelerate the goal to end TB. We conducted a review to evaluate whether mRNA transcriptomics technologies are sufficiently mature to develop accurate next-generation TB diagnostic tests. Early studies tended to be limited in sample size, diversity of population groups, sample collection and processing methods, while recent prospective studies have addressed these limitations. Some of the existing signatures could be used for triage; however, high cost and complexity could limit their use. For a confirmatory test, setting an optimal cut-off to maintain specificity across populations and settings is a challenge. mRNA signatures have shown the potential to quantitatively monitor response to treatment. No prognostic signatures can accurately predict progression to active TB over 2 years while short term prediction is possible. The management strategy should be defined for individuals with positive prognostic tests. FUNDING: Development of this manuscript was supported by funding received from the Stop TB Partnership and USAID for the New Diagnostics Working Group. The funders had no role in paper design, article selection and review, interpretation, or writing of the paper.

Identifiants

pubmed: 35850011
pii: S2352-3964(22)00355-3
doi: 10.1016/j.ebiom.2022.104174
pmc: PMC9294474
pii:
doi:

Substances chimiques

RNA, Messenger 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

104174

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests APN is listed as an inventor on a patent for RISK6 mRNA signature. SGS was employed by FIND during preparation of this manuscript. Other authors have nothing to disclose.

Auteurs

Yohhei Hamada (Y)

Insitute for Global Health, University College London, London, United Kingdom.

Adam Penn-Nicholson (A)

FIND, Geneva Switzerland.

Sriram Krishnan (S)

FIND, Geneva Switzerland.

Daniela Maria Cirillo (DM)

IRCCS San Raffaele Scientific Institute, Milan, Italy.

Alberto Matteelli (A)

Collaborating Centre for TB/HIV Co-infection and TB Elimination, Dept of Infectious and Tropical Diseases, University of Brescia, Brescia, Italy.

Romain Wyss (R)

FIND, Geneva Switzerland.

Claudia M Denkinger (CM)

FIND, Geneva Switzerland; Division of Tropical Medicine, Centre of Infectious Disease, Heidelberg University Hospital, Heidelberg, Germany; German Center of Infection Research, Partner Site Heidelberg University Hospital, Heidelberg, Germany.

Molebogeng X Rangaka (MX)

Insitute for Global Health, University College London, London, United Kingdom; School of Public Health, and Clinical Infectious Disease Research Institute-AFRICA, University of Cape Town, South Africa.

Morten Ruhwald (M)

FIND, Geneva Switzerland.

Samuel G Schumacher (SG)

FIND, Geneva Switzerland. Electronic address: samuel.schumacher@finddx.org.

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Classifications MeSH