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Sam, N.

Publications and source records attributed to Sam, N..

3 recordsLinked to original sources

Whole-genome characterization of Plasmodium falciparum population structure and drug resistance across Uganda and neighboring countries

Uganda has one of the world's highest malaria burdens, but parasite population structure and connectivity have not been characterized nationally with whole-genome data. We analyzed 249 monoclonal Plasmodium falciparum genomes from 26 sentinel sites across Uganda in 2023 and compared them with publicly available genomes from five neighboring countries. Genetic diversity was high and differentiation low in Uganda, but identity-by-descent detected limited structure. This was most pronounced in the low-transmission southwest, where parasites shared ancestry and recent relatedness with isolates from western Tanzania. Selection scans identified signals at loci associated with resistance to artemisinins and their partner drugs, and to chloroquine and antifolates. The strongest signal was at PfPX1 where the PIN haplotype (L1222P, M1701I, D1705N) reached 70% prevalence nationwide, but selection was carried by PIN haplotypes that had additionally acquired D384A, largely confined to northern and eastern Uganda. A second substitution at the same codon, D384Y, formed a haplotype shared across the Tanzanian border. PfKelch13 variants were partitioned across multiple backgrounds, consistent with repeated independent emergence, and C469Y was enriched on the PfPX1 D384A-PIN background. These genomes provide a 2023 baseline for tracking potential mediators of drug resistance and support coordinated genomic surveillance across Uganda and its neighbors.

genomics↗

Signatures of selection and mechanisms of insecticide resistance in Ugandan Anopheles funestus: Insights from embedding translational genomics into the LLINEUP cluster randomised trial.

In response to the emerging threat of insecticide resistance in malaria vectors, insecticides are being repurposed for vector control or developed de novo. Good stewardship of these finite new resources is essential if disease control programmes are to remain effective. This is dependent on timely data to help guide evidence-based decision-making for National Malaria Control programmes (NMCPs). By embedding genomics into cluster randomized control trials (cRCTs), we can perform surveillance and early detection of insecticide resistance variants to new and repurposed chemicals in natural field conditions, supporting effective stewardship. The LLIN Evaluation Uganda Project (LLINEUP) trial evaluated the efficacy of pyrethroid-piperonyl butoxide (PBO) and pyrethroids-only long-lasting insecticidal nets (LLINs). It was conducted in Uganda between 2017-2020 and was the largest cRCT to date, covering 40% of the country in 104 health sub-districts. We embedded genomic surveillance within LLINEUP to detect and track insecticide resistance variants. At baseline and throughout the trial, we sampled Anopheles mosquitoes with Prokopack aspirators and performed Illumina whole-genome sequencing. We show that An. funestus populations were relatively unaffected by the interventions, compared to An. gambiae s.l., which were markedly reduced six months following LLIN deployment. Standard approaches for describing genetic diversity and population structure e.g. fixation index (FST), Principal Component Analysis (PCA) and Neighbour-Joining (NJ) trees, were consistent with the density observations and suggestive of a single large An. funestus population in Uganda with little genetic differentiation. Genome-wide selection scans revealed strong signals of selection at the Resistance to pyrethroid-1 (RP1) locus and Cyp9k1, both loci previously implicated in pyrethroid resistance. We report two additional loci, eye diacylglycerol kinase (Dgk) ({cong}13.5Mb on the X chromosome) and O-mannosyl-transferase (TMC-like) ({cong}67.9Mb on 3RL) that showed signals of selection. Known DDT and permethrin resistance-associated variants at the Gste2 locus, L119F and L119V, were also identified. Over the trial period, changes in haplotype frequencies were observed in regions under selection, with more pronounced shifts in the PBO arm. Notably, there were significant reductions in the frequencies of swept haplotypes (measured by delta ({Delta}) H12) in the Dgk and Cyp6p9a regions, while significant increases in haplotype frequency were observed at Gste2 and Cyp9k1 loci. Our findings reveal the differential impact of the trial on An. gambiae s.l. and An. funestus densities and the differing responses of An. funestus populations to pyrethroid and pyrethroid-PBO selection pressure. These insights underscore the potential value of tailored, species- and region-specific vector control strategies, supported by regional genetic surveillance, to better control insecticide resistance evolution and spread. By embedding genomic surveillance in cRCTs we can facilitate the discovery of putative resistance variants and can provide evidence of their impact on vector control tool efficacy; both of crucial importance to evidence-based deployment of vector control tools by NMCPs.

genomics↗

Moremi Bio Agent: Application of A Foundation Model and End-to-End Automation in the Design and Validation of Monoclonal Antibodies Targeting Plasmodium falciparum Invasion Complex

Malaria remains a significant global health challenge, with Plasmodium falciparum responsible for the majority of severe cases and fatalities. Targeting the parasites invasion mechanisms offers a promising therapeutic strategy. In this study, we leveraged a novel agentic foundational model, Moremi Bio Agent, to design monoclonal antibodies targeting the AMA1-RON2 complex, a critical component in the parasites invasion of human red blood cells. Using advanced structural modeling, we generated 999 antibodies, which were evaluated for binding affinity, structural integrity, and physicochemical properties. Binding affinity analysis using PRODIGY identified 864 antibodies with successful target interactions, exhibiting binding free energies ({Delta}G) ranging from -116.8 kcal/mol to -5.6 kcal/mol. The strongest candidates demonstrated exceptionally tight binding, with dissociation constants (Kd) in the femtomolar to attomolar range, indicative of highly stable interactions. Additionally, structural validation confirmed that the antibodies were thermodynamically stable with robust fold reliability, essential for functional efficacy. Epitope mapping revealed highly conserved regions within the target complex, enhancing the likelihood of cross-strain efficacy. Glycosylation analysis identified key sites that could improve antibody stability and immune recognition, while BLAST comparison with known therapeutic antibodies demonstrated significant homology, underscoring their potential for clinical development. This study highlights the power of generative AI-driven computational pipelines in antibody discovery, providing a scalable and cost-effective framework for therapeutic development. The findings establish a foundation for experimental validation and optimization, with the potential to advance novel interventions against malaria and other infectious diseases.

synthetic biology↗