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The extent to which viral genetic context influences HIV adaptation to human leukocyte antigen (HLA) class I-restricted immune pressures remains incompletely understood. The Ugandan HIV epidemic, where major pandemic group M subtypes A1 and D cocirculate in a single host population, provides an opportunity to investigate this question. We characterized plasma HIV RNA , , and sequences, along with host HLA genotypes, in 464 antiretroviral-naive individuals chronically infected with HIV subtype A1 or D. Using phylogenetically informed statistical approaches, we identified HLA-associated polymorphisms and formally compared their strengths of selection between viral subtypes. A substantial number (32%) of HLA-associated polymorphisms identified in subtype A1 and/or D had previously been reported in subtype B, C, and/or circulating recombinant form 01_AE (CRF01_AE), confirming the shared nature of many HLA-driven escape pathways regardless of viral genetic context. Nevertheless, 34% of the identified HLA-associated polymorphisms were significantly differentially selected between subtypes A1 and D. Experimental investigation of select examples of subtype-specific escape revealed distinct underlying mechanisms with important implications for vaccine design: whereas some were attributable to subtype-specific sequence variation that influenced epitope-HLA binding, others were attributable to differential mutational barriers to immune escape. Overall, our results confirm that HIV genetic context is a key modulator of viral adaptation to host cellular immunity and highlight the power of combined bioinformatic and mechanistic studies, paired with knowledge of epitope immunogenicity, to identify appropriate viral regions for inclusion in subtype-specific and universal HIV vaccine strategies. The identification of HIV polymorphisms reproducibly selected under pressure by specific HLA alleles and the elucidation of their impact on viral function can help identify immunogenic viral regions where immune escape incurs a fitness cost. However, our knowledge of HLA-driven escape pathways and their functional costs is largely limited to HIV subtype B and, to a lesser extent, subtype C. Our study represents the first characterization of HLA-driven adaptation pathways in HIV subtypes A1 and D, which dominate in East Africa, and the first statistically rigorous characterization of differential HLA-driven escape across viral subtypes. The results support a considerable impact of viral genetic context on HIV adaptation to host HLA, where HIV subtype-specific sequence variation influences both epitope-HLA binding and the fitness costs of escape. Integrated bioinformatic and mechanistic characterization of these and other instances of differential escape could aid rational cytotoxic T-lymphocyte-based vaccine immunogen selection for both subtype-specific and universal HIV vaccines.
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http://dx.doi.org/10.1128/JVI.01502-18 | DOI Listing |
Bioinformatics
September 2025
MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh United Kingdom.
Motivation: A genome-wide variant effect calibration method was recently developed under the guidelines of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP), following ClinGen recommendations for variant classification. While genome-wide approaches offer clinical utility, emerging evidence highlights the need for gene- and context-specific calibration to improve accuracy. Building on previous work, we have developed an algorithm tailored to converting functional scores from both multiplexed assays of variant effects (MAVEs) and computational variant effect predictors (VEPs) into ACMG/AMP evidence strengths.
View Article and Find Full Text PDFBioinformatics
September 2025
Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania United States.
Summary: Causal mediation analysis investigates the role of mediators in the relationship between exposure and outcome. In the analysis of omics or imaging data, mediators are often high-dimensional, presenting challenges such as multicollinearity and interpretability. Existing methods either compromise interpretability or fail to effectively prioritize mediators.
View Article and Find Full Text PDFMol Biol Rep
September 2025
Laboratory of Genomic Research, Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, Kursk, 305041, Russia.
Background: The chaperoning system, which is responsible for protein homeostasis, plays a significant role in cardiovascular diseases. Among molecular chaperones or heat shock proteins (HSPs), the HSP40 family, the main co-chaperone of HSP70, remains largely underexplored, especially in ischemic heart disease (IHD) risk.
Materials And Results: We genotyped 834 IHD patients and 1,328 healthy controls for three SNPs (rs2034598 and rs7189628 DNAJA2 and rs4926222 DNAJB1) using probe-based real-time PCR.
FEMS Yeast Res
September 2025
Department of Bioengineering, School of Life Science Engineering, College of Interdisciplinary Science and Technology, University of Tehran, Tehran, Iran.
The growing challenges posed by global warming and the demand for sustainable food and feed resources underscore the need for robust microbial platforms in bioprocessing. Thermotolerant yeasts have emerged as promising candidates due to their ability to thrive at elevated temperatures and other industrially relevant stresses. This review examines the industrial potential of thermotolerant yeasts in the context of climate change, emphasizing how their resilience can lead to more energy-efficient and cost-effective bioprocesses.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
September 2025
Department of Ophthalmology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Purpose: To explore the causal links between antihypertension drugs usage and age-related macular degeneration (AMD).
Methods: Multiple genetic analyses, including summary data-based Mendelian randomization (SMR), traditional MR, and colocalization analysis, were used to explore the causal associations between antihypertension drugs and AMD. Clinical data from the UK Biobank and the National Health and Nutrition Examination Survey (NHANES) was applied to refined risk assessment of specific antihypertensive medications in the context of AMD development.