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The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population-Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis.
JMIR Res Protoc
January 2025
South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.
Background: HIV testing is the cornerstone of HIV prevention and a pivotal step in realizing the Joint United Nations Program on HIV/AIDS (UNAIDS) goal of ending AIDS by 2030. Despite the availability of relevant survey data, there exists a research gap in using machine learning (ML) to analyze and predict HIV testing among adults in South Africa. Further investigation is needed to bridge this knowledge gap and inform evidence-based interventions to improve HIV testing.
View Article and Find Full Text PDFImproved therapeutic efficacy of a bifunctional anti-C5 mAb-FH SCR1-5 fusion protein over anti-C5 mAb in an accelerated mouse model of C3 glomerulopathy.
Immunohorizons
January 2025
Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
C3 glomerulopathy (C3G), a rare kidney disease caused by dysregulation of alternative pathway complement activation, is characterized by glomerular C3 deposition, proteinuria, crescentic glomerulonephritis, and renal failure. The anti-C5 monoclonal antibody (mAb) drug eculizumab has shown therapeutic effects in some but not all patients with C3G, and no approved therapy is currently available. Here, we developed and used a triple transgenic mouse model of fast progressing lethal C3G (FHm/mP-/-hFDKI/KI) to compare the therapeutic efficacy of a bifunctional anti-C5 mAb fused to a functional factor H (FH) fragment (short consensus repeat 1-5 [SCR1-5]) and the anti-C5 mAb itself.
View Article and Find Full Text PDFCombination adjuvant improves influenza virus immunity by downregulation of immune homeostasis genes in lymphocytes.
Immunohorizons
January 2025
Vaccine Research & Development Center, Department of Physiology & Biophysics, University of California Irvine, Irvine, CA 92697, United States.
Adjuvants play a central role in enhancing the immunogenicity of otherwise poorly immunogenic vaccine antigens. Combining adjuvants has the potential to enhance vaccine immunogenicity compared with single adjuvants, although the cellular and molecular mechanisms of combination adjuvants are not well understood. Using the influenza virus hemagglutinin H5 antigen, we define the immunological landscape of combining CpG and MPLA (TLR-9 and TLR-4 agonists, respectively) with a squalene nanoemulsion (AddaVax) using immunologic and transcriptomic profiling.
View Article and Find Full Text PDFReduced autoimmunity associated with deletion of host CD73.
Immunohorizons
January 2025
Department of Pediatrics, Division of Gastroenterology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States.
CD73 is ubiquitously expressed and regulates critical functions across multiple organ systems. The sequential actions of CD39 and CD73 accomplish the conversion of adenosine triphosphate to adenosine and shift the adenosine triphosphate-driven proinflammatory immune cell milieu toward an anti-inflammatory state. This immunological switch is a major mechanism by which regulatory T (Treg) cells control inflammation.
View Article and Find Full Text PDFBi-ventricular elastic material parameters estimation using 3D CMR myocardial strains in rheumatic heart disease patients.
J Biomech
January 2025
Division of Cardiology, Department of Medicine, University of Cape Town, Cape Town, South Africa; Cape Universities Body Imaging Centre, Faculty of Health Sciences, University of Cape Town, South Africa; South African Medical Research Council Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases. Electronic address:
Understanding the elastic material behavior of myocardium during the diastolic phase is critical for evaluating cardiac function and improving treatments for diastolic abnormalities. This study introduces a novel multi-objective optimization framework that incorporates both strain and volume measurements to enhance the accuracy of myocardial property assessments in Rheumatic Heart Disease (RHD) patients and healthy controls. By employing global volume and strain measurements instead of segmented strains from the sixteen AHA regions, we achieve a robust alignment with the Klotz curve across all groups, indicating an accurate simulation of end-diastolic pressure-volume relationships (EDPVRs).
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