Historically, pregnant and lactating populations (PLP) have been excluded or disenrolled from biomedical HIV prevention trials, despite being more likely to acquire HIV during pregnancy and the post-partum period. We conducted a meta-analysis of pregnancy events in biomedical HIV prevention trials in sub-Saharan Africa to support trialists moving toward more inclusive clinical and implementation studies. We searched peer-reviewed literature reporting pregnancy events and contraceptive requirements in HIV prevention trials between 2001 and 2022.
View Article and Find Full Text PDFStakeholder engagement is increasingly recognized as a key component of ethical research in leading ethics guidelines. Ethics commentators have also argued that engagement has several beneficial outcomes for the field. This paper reports on the beneficial outcomes of stakeholder engagement in HIV prevention trials as perceived by stakeholders in the field.
View Article and Find Full Text PDFThe development of safe and effective HIV vaccines has been a scientific challenge for more than 40 years. Despite disappointing results from efficacy clinical trials, much has been learnt from years of research and development. In a rapidly evolving HIV prevention landscape, swift evaluation of multiple vaccine approaches eliciting cross-reactive humoral and cellular responses is needed to ensure the development of efficacious vaccine candidates.
View Article and Find Full Text PDFAgeing research focuses on identifying lifespan modifiers and understanding and appropriately interpreting their effects. One of the most relevant quantities being studied is the shape of the survival curve that can reveal crucial information on the mechanism of action. Here, we introduce a bilogistic model to describe the shape of the lifespan curves of populations.
View Article and Find Full Text PDFDNA methylation (DNAm) is commonly assayed using the Illumina Infinium MethylationEPIC BeadChip, but there is currently little published evidence to define the lower limits of the amount of DNA that can be used whilst preserving data quality. Such evidence is valuable for analyses utilizing precious or limited DNA sources. We used a single pooled sample of DNA in quadruplicate at three dilutions to define replicability and noise, and an independent population dataset of 328 individuals (from a community-based study including US-born non-Hispanic Black and white persons) to assess the impact of total DNA input on the quality of data generated using the Illumina Infinium MethylationEPIC BeadChip.
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