Drug screening models have a vital role in the development of novel antimycobacterial agents which are urgently needed to tackle drug-resistant tuberculosis (TB). We recently established the larvae of the insect (greater wax moth) as a novel infection model for the complex. Here we demonstrate its use as a rapid and reproducible screen to evaluate antimycobacterial drug efficacy using larvae infected with bioluminescent BCG . Treatment improved larval survival outcome and, with the exception of pyrazinamide, was associated with a significant reduction in mycobacterial bioluminescence over a 96 h period compared to the untreated controls. Isoniazid and rifampicin displayed the greatest efficacy and survival outcome. Thus infected with bioluminescent mycobacteria, can rapidly determine drug efficacy, and has the potential to significantly reduce and/or replace the number of animals used in TB research.
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http://dx.doi.org/10.3389/fmicb.2019.02630 | DOI Listing |
J Int AIDS Soc
February 2025
Centre for Integrated Data and Epidemiological Research, School of Public Health, University of Cape Town, Cape Town, South Africa.
Introduction: Sexually transmitted infections (STIs) in pregnancy are associated with an increased risk of vertical HIV transmission and adverse pregnancy and birth outcomes. In South Africa, syndromic management is the standard of care for STI management. We assessed the potential impact of point-of-care (POC) screening for curable STIs (Chlamydia trachomatis [CT], Trichomonas vaginalis [TV] and Neisseria gonorrhoeae [NG]) during pregnancy on vertical HIV transmission and adverse pregnancy and birth outcomes.
View Article and Find Full Text PDFMed Vet Entomol
January 2025
Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Ontario, Canada.
Dermacentor variabilis (Say) (Acari: Ixodidae) is a vector for pathogens that can impact human and animal health. The geographic range of this species is expanding, but there are some areas with limited up-to-date information on the distribution of D. variabilis.
View Article and Find Full Text PDFBMC Pulm Med
January 2025
Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei City, Taiwan.
Background: Since 2021, COVID-19 has had a substantial impact on global health and continues to contribute to serious health outcomes. In Taiwan, most research has focused on hospitalized patients or mortality cases, leaving important gaps in understanding the broader effects of the disease and identifying individuals at high risk. This study aims to investigate the risk factors for disease progression through a nationwide population-based cohort study on COVID-19 in Taiwan.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam, 611002, Tamil Nadu, India.
In response to the pressing need for the detection of Monkeypox caused by the Monkeypox virus (MPXV), this study introduces the Enhanced Spatial-Awareness Capsule Network (ESACN), a Capsule Network architecture designed for the precise multi-class classification of dermatological images. Addressing the shortcomings of traditional Machine Learning and Deep Learning models, our ESACN model utilizes the dynamic routing and spatial hierarchy capabilities of CapsNets to differentiate complex patterns such as those seen in monkeypox, chickenpox, measles, and normal skin presentations. CapsNets' inherent ability to recognize and process crucial spatial relationships within images outperforms conventional CNNs, particularly in tasks that require the distinction of visually similar classes.
View Article and Find Full Text PDFNat Commun
January 2025
Centre of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.
Recalcitrant bacterial infections can be caused by various types of dormant bacteria, including persisters and viable but nonculturable (VBNC) cells. Despite their clinical importance, we know fairly little about bacterial dormancy development and recovery. Previously, we established a correlation between protein aggregation and dormancy in Escherichia coli.
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