Exploiting integrative metabolomics to study host-parasite interactions in Plasmodium infections.

Despite years of research, malaria remains a significant global health burden, with poor diagnostic tests and increasing antimalarial drug resistance challenging diagnosis and treatment. While 'single-omics'-based approaches have been instrumental in gaining insight into the biology and pathogenicity of the Plasmodium parasite and its interaction with the human host, a more comprehensive understanding of malaria pathogenesis can be achieved through 'multi-omics' approaches. Integrative methods, which combine metabolomics, lipidomics, transcriptomics, and genomics datasets, offer a holistic systems biology approach to studying malaria. This review highlights recent advances, future directions, and challenges involved in using integrative metabolomics approaches to interrogate the interactions between Plasmodium and the human host, paving the way towards targeted antimalaria therapeutics and control intervention methods.

Assembled genome of an Ethiopian Plasmodium vivax isolate generated using GridION long-read technology.

Plasmodium vivax causes ~20% of malaria cases in Ethiopia. Here, we report a long-read genome assembly generated from an individual collected in 2022. P. vivax is genetically diverse across endemic regions; thus, the genome assembly of an African isolate is an important resource for the malaria research community.