Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine

Tuberculosis is a major global health issue, with approximately 10 million people falling ill and 1.4 million dying yearly. One of the most significant challenges to public health is the emergence of drug-resistant tuberculosis. For the last half-century, treating tuberculosis has adhered to a unifo...

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Vydáno v:Frontiers in microbiology Ročník 14; s. 1225438
Hlavní autoři: Dohál, Matúš, Porvazník, Igor, Solovič, Ivan, Mokrý, Juraj
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland Frontiers Media S.A 04.10.2023
Témata:
artificial intelligence
Microbiology
PPPM
treatment failure
tuberculosis
whole genome sequencing
whole genome sequencing
PPPM
treatment failure
artificial intelligence
tuberculosis
ISSN:1664-302X, 1664-302X
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Shrnutí:Tuberculosis is a major global health issue, with approximately 10 million people falling ill and 1.4 million dying yearly. One of the most significant challenges to public health is the emergence of drug-resistant tuberculosis. For the last half-century, treating tuberculosis has adhered to a uniform management strategy in most patients. However, treatment ineffectiveness in some individuals with pulmonary tuberculosis presents a major challenge to the global tuberculosis control initiative. Unfavorable outcomes of tuberculosis treatment (including mortality, treatment failure, loss of follow-up, and unevaluated cases) may result in increased transmission of tuberculosis and the emergence of drug-resistant strains. Treatment failure may occur due to drug-resistant strains, non-adherence to medication, inadequate absorption of drugs, or low-quality healthcare. Identifying the underlying cause and adjusting the treatment accordingly to address treatment failure is important. This is where approaches such as artificial intelligence, genetic screening, and whole genome sequencing can play a critical role. In this review, we suggest a set of particular clinical applications of these approaches, which might have the potential to influence decisions regarding the clinical management of tuberculosis patients.
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Edited by: Robert Jansen, Radboud University, Netherlands
Reviewed by: Stefan Panaiotov, National Center of Infectious and Parasitic Diseases (NCIPD), Bulgaria; Wondwossen Amogne Degu, Addis Ababa University, Ethiopia
ISSN:1664-302X
1664-302X
DOI:10.3389/fmicb.2023.1225438