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Predictive Markers of Incident Tuberculosis in Close Contacts in Brazil and India.
J Infect Dis
January 2025
Programa de Pós-graduação em Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil.
There are insufficient predictors of progression to tuberculosis among contacts. A case-control study within RePORT-Brazil matched 20 QuantiFERON-positive progressors and 40 non-progressors by sex, age, and exposure duration. Twenty-nine cytokines were measured by Luminex in QuantiFERON-TB Gold Plus supernatants collected at baseline and evaluated using machine learning for tuberculosis prediction.
View Article and Find Full Text PDFCOVID-19 policies and tuberculosis services in private health sectors of India, Indonesia, and Nigeria.
J Clin Tuberc Other Mycobact Dis
February 2025
McGill International TB Centre, Montreal, Canada.
Introduction: The COVID-19 pandemic created unprecedented challenges in the field of global health. Nigeria, Indonesia and India are three high tuberculosis (TB) burden countries with large private health sectors. Both TB and the private health sector faced challenges in these countries because of COVID-19.
View Article and Find Full Text PDFLearning the fitness dynamics of pathogens from phylogenies.
Nature
January 2025
Department of Genetics, University of Cambridge, Cambridge, UK.
The dynamics of the genetic diversity of pathogens, including the emergence of lineages with increased fitness, is a foundational concept of disease ecology with key public-health implications. However, the identification of such lineages and estimation of associated fitness remain challenging, and is rarely done outside densely sampled systems. Here we present phylowave, a scalable approach that summarizes changes in population composition in phylogenetic trees, enabling the automatic detection of lineages based on shared fitness and evolutionary relationships.
View Article and Find Full Text PDFMachine learning-enabled virtual screening indicates the anti-tuberculosis activity of aldoxorubicin and quarfloxin with verification by molecular docking, molecular dynamics simulations, and biological evaluations.
Brief Bioinform
November 2024
Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Chaoyang District, Beijing 100020, China.
Drug resistance in Mycobacterium tuberculosis (Mtb) is a significant challenge in the control and treatment of tuberculosis, making efforts to combat the spread of this global health burden more difficult. To accelerate anti-tuberculosis drug discovery, repurposing clinically approved or investigational drugs for the treatment of tuberculosis by computational methods has become an attractive strategy. In this study, we developed a virtual screening workflow that combines multiple machine learning and deep learning models, and 11 576 compounds extracted from the DrugBank database were screened against Mtb.
View Article and Find Full Text PDFIdentification of Anti-Tuberculosis Drugs Targeting DNA Gyrase A and Serine/Threonine Protein Kinase PknB: A Machine Learning-Assisted Drug-Repurposing Approach.
Trop Med Infect Dis
November 2024
Department of Biomedical Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
Tuberculosis (TB) is a global health challenge associated with considerable levels of illness and mortality worldwide. The development of innovative therapeutic strategies is crucial to combat the rise of drug-resistant TB strains. DNA Gyrase A (GyrA) and serine/threonine protein kinase (PknB) are promising targets for new TB medications.
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