Microfluidics as a Novel Technique for Tuberculosis: From Diagnostics to Drug Discovery

Abstract

Tuberculosis (TB) remains a global healthcare crisis, with an estimated 5.8 million new cases and 1.5 million deaths in 2020. TB is caused by infection with the major human pathogen Mycobacterium tuberculosis, which is difficult to rapidly diagnose and treat. There is an urgent need for new methods of diagnosis, sufficient in vitro models that capably mimic all physiological conditions of the infection, and high-throughput drug screening platforms. Microfluidic-based techniques provide single-cell analysis which reduces experimental time and the cost of reagents, and have been extremely useful for gaining insight into monitoring microorganisms. This review outlines the field of microfluidics and discusses the use of this novel technique so far in M. tuberculosis diagnostics, research methods, and drug discovery platforms. The practices of microfluidics have promising future applications for diagnosing and treating TB.

Publication DOI: https://doi.org/10.3390/microorganisms9112330
Divisions: College of Health & Life Sciences > School of Biosciences
College of Health & Life Sciences
Additional Information: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/) This research was funded by the EPSRC and SFI Centre for Doctoral Training in Engineered Tissues for Discovery, Industry and Medicine, Grant Number EP/S02347X/1.
Uncontrolled Keywords: Antibiotics,Antimicrobial resistance,Bioengineered models,Diagnostics,Drug discovery,Microfluidics,Mycobacterium,Single-cell analysis,Tuberculosis,Microbiology,Microbiology (medical),Virology
Publication ISSN: 2076-2607
Full Text Link:
Related URLs: https://www.mdp ... -2607/9/11/2330 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Review article
Published Date: 2021-11-11
Accepted Date: 2021-11-03
Authors: Molloy, Antonia
Harrison, James
McGrath, John S.
Owen, Zachary
Smith, Clive
Liu, Xin
Li, Xin
Cox, Jonathan A. G. (ORCID Profile 0000-0001-5208-4056)

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