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

Frontiers in Microbiology

Microbiology

Matúš Dohál¹  Juraj Mokrý²  Ivan Solovič³  Igor Porvazník³ 

[1] Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia;Department of Pharmacology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia;National Institute of Tuberculosis, Lung Diseases and Thoracic Surgery, Vyšné Hágy, Slovakia;Faculty of Health, Catholic University in Ružomberok, Ružomberok, Slovakia;

关键词: tuberculosis;    PPPM;    artificial intelligence;    whole genome sequencing;    treatment failure;   

DOI  :  10.3389/fmicb.2023.1225438

 received in 2023-05-19, accepted in 2023-09-22,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Dohál, Porvazník, Solovič and Mokrý.