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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-10-01
|
| Series: | Frontiers in Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2023.1225438/full |
| _version_ | 1797666758559006720 |
|---|---|
| author | Matúš Dohál Igor Porvazník Igor Porvazník Ivan Solovič Ivan Solovič Juraj Mokrý |
| author_facet | Matúš Dohál Igor Porvazník Igor Porvazník Ivan Solovič Ivan Solovič Juraj Mokrý |
| author_sort | Matúš Dohál |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T20:04:06Z |
| format | Article |
| id | doaj.art-189a129d1d1e494990cb86e56980468b |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-03-11T20:04:06Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-189a129d1d1e494990cb86e56980468b2023-10-04T08:05:38ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2023-10-011410.3389/fmicb.2023.12254381225438Advancing tuberculosis management: the role of predictive, preventive, and personalized medicineMatúš Dohál0Igor Porvazník1Igor Porvazník2Ivan Solovič3Ivan Solovič4Juraj Mokrý5Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, SlovakiaNational Institute of Tuberculosis, Lung Diseases and Thoracic Surgery, Vyšné Hágy, SlovakiaFaculty of Health, Catholic University in Ružomberok, Ružomberok, SlovakiaNational Institute of Tuberculosis, Lung Diseases and Thoracic Surgery, Vyšné Hágy, SlovakiaFaculty of Health, Catholic University in Ružomberok, Ružomberok, SlovakiaDepartment of Pharmacology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, SlovakiaTuberculosis 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.https://www.frontiersin.org/articles/10.3389/fmicb.2023.1225438/fulltuberculosisPPPMartificial intelligencewhole genome sequencingtreatment failure |
| spellingShingle | Matúš Dohál Igor Porvazník Igor Porvazník Ivan Solovič Ivan Solovič Juraj Mokrý Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine Frontiers in Microbiology tuberculosis PPPM artificial intelligence whole genome sequencing treatment failure |
| title | Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine |
| title_full | Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine |
| title_fullStr | Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine |
| title_full_unstemmed | Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine |
| title_short | Advancing tuberculosis management: the role of predictive, preventive, and personalized medicine |
| title_sort | advancing tuberculosis management the role of predictive preventive and personalized medicine |
| topic | tuberculosis PPPM artificial intelligence whole genome sequencing treatment failure |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2023.1225438/full |
| work_keys_str_mv | AT matusdohal advancingtuberculosismanagementtheroleofpredictivepreventiveandpersonalizedmedicine AT igorporvaznik advancingtuberculosismanagementtheroleofpredictivepreventiveandpersonalizedmedicine AT igorporvaznik advancingtuberculosismanagementtheroleofpredictivepreventiveandpersonalizedmedicine AT ivansolovic advancingtuberculosismanagementtheroleofpredictivepreventiveandpersonalizedmedicine AT ivansolovic advancingtuberculosismanagementtheroleofpredictivepreventiveandpersonalizedmedicine AT jurajmokry advancingtuberculosismanagementtheroleofpredictivepreventiveandpersonalizedmedicine |