Empowering African Expertise: Enhancing Safety Data Integration and Signal Detection for COVID-19 Vaccines Through the African Union Smart Safety Surveillance Joint Signal Management Group.

Introduction: The COVID-19 pandemic accelerated new vaccine development. Limited safety data necessitated robust global safety surveillance to accurately identify and promptly communicate potential safety issues. The African Union Smart Safety Surveillance (AU-3S) program established the Joint Signal Management (JSM) group to support identification of potential vaccine safety concerns in five pilot countries (Ethiopia, Ghana, Kenya, Nigeria, South Africa), accounting for approximately 35% of the African population.

Bi- and Monoallelic Variants and Chronic Kidney Disease in West Africans.

Background: Apolipoprotein L1 gene () variants are risk factors for chronic kidney disease (CKD) among Black Americans. Data are sparse on the genetic epidemiology of CKD and the clinical association of variants with CKD in West Africans, a major group in the Black population.

Methods: We conducted a case-control study involving participants from Ghana and Nigeria who had CKD stages 2 through 5, biopsy-proven glomerular disease, or no kidney disease.

Pan-cancer analysis of the immunological and oncogenic roles of ATAD2 with verification in papillary thyroid carcinoma.

ATAD2 (ATPase Family AAA Domain-Containing 2) is highly expressed across varies tumor types, yet its common roles in tumor progression and immune interaction remain unclear. We analyzed the expression and alteration profiles of ATAD2, along with its diagnostic and prognostic role in pan-cancer, utilizing TCGA, GTEx, CPTAC, HPA, and cBioPortal databases. Furthermore, we examined the relationship between ATAD2 and immune infiltration utilizing single-cell sequencing data and TCGA database.

Ensembles of interconverting protein complexes with multiple interaction domains.

Many critical biological processes depend on protein complexes that exist as ensembles of subcomplexes rather than a discrete complex. The subcomplexes dynamically interconvert with one another, and the ability to accurately resolve the composition of the diverse molecular species in the ensemble is crucial for understanding the contribution of each subcomplex to the overall function of the protein complex. Advances in computational programs have made it possible to predict the various molecular species in these ensembles, but experimental approaches to identify the pool of subcomplexes and associated stoichiometries are often challenging.