Biology subjects

Thera, M. A.

Publications and source records attributed to Thera, M. A..

4 recordsLinked to original sources

bioRxiv2024

Immune gene expression changes more during a malaria transmission season than between consecutive seasons.

Plasmodium parasites caused over 600,000 deaths in 2022. In Mali, P. falciparum is responsible for the majority of malaria cases and deaths and is transmitted seasonally. Anti-malarial immunity develops slowly over repeated exposures to P. falciparum but some aspects of this immunity (e.g., antibody titers) wane during the non-transmission, dry season. Here, we sequenced RNA from 33 pediatric blood samples collected during P. falciparum infections at the beginning or end of a transmission season and characterized the host and parasite gene expression profiles of paired, consecutive infections. Our analyses showed that human gene expression changes more over the course of one transmission season than it does between seasons, with signatures consistent with the partial development of adaptive immunity during one transmission season, contrasting with the stability in gene expression during the dry season. By contrast, P. falciparum gene expression did not seem to vary significantly and remained stable both across and between seasons. Overall, our results provide novel insights into the dynamics of anti-malarial immunity development over short timeframes.

bioinformatics↗

bioRxiv2022

Malian children infected with Plasmodium ovale and Plasmodium falciparum display very similar gene expression profiles.

Plasmodium parasites caused 241 million cases of malaria and over 600,000 deaths in 2020. Both P. falciparum and P. ovale are endemic to Mali and cause malaria illness, with P. falciparum infections typically being more severe. Here, we sequenced RNA from nine pediatric blood samples collected during uncomplicated, symptomatic infections with either P. falciparum or P. ovale and characterized the host and parasite gene expression profiles. We found that human gene expression varies more between individuals than according to the parasite species causing the infection, while parasite gene expression profiles cluster by species. Additionally, we characterized DNA polymorphisms of the parasites directly from the RNA-seq reads and found comparable levels of genetic diversity in both species despite dramatic differences in prevalence. Our results provide unique insights into host-pathogen interactions during malaria infections and their variations according to the infecting Plasmodium species, which will be critical to develop better elimination strategies against all human Plasmodium parasites. Author SummaryMultiple species of Plasmodium parasites can cause human malaria. Most studies and elimination efforts target P. falciparum, the most common cause of malaria worldwide and the species responsible for the vast majority of the mortality. Other Plasmodium species, such as P. ovale, typically lead to less severe forms of the disease but little is known about the molecular mechanisms at play during malaria infections with different parasites. We analyzed host and parasite gene expression from children successively infected with P. ovale and P. falciparum and found that, while the parasite gene expression differed significantly, the transcriptional profiles of the host immune cells were similar in P. ovale or P. falciparum infections. This suggests that infected individuals respond to uncomplicated malaria infections similarly, regardless of the Plasmodium species causing the infection, and that alternative immune processes may become important during the progression to severe P. falciparum malaria (rather than being inherent features of P. falciparum infections). Additionally, we observed similar levels of genetic diversity among P. ovale and P. falciparum parasites, suggesting that the P. ovale population might be larger than currently thought, possibly due to extensive misdiagnosis or the existence of hidden reservoirs of parasites.

microbiology↗

bioRxiv2021

High-throughput Identification of Eukaryotic Parasites and Arboviruses in Mosquitoes

Vector-borne pathogens cause many human infectious diseases and are responsible for high mortality and morbidity throughout the world. They can also cause livestock epidemics with dramatic social and economic consequences. Due to the high costs, vector-borne disease surveillance is often limited to current threats, and the investigation of emerging pathogens typically occur after the reports of clinical cases. Here, we use high-throughput sequencing to detect and identify a wide range of parasites and viruses carried by mosquitoes from Cambodia, Guinea, Mali and Maryland. We apply this approach to individual Anopheles mosquitoes as well as pools of mosquitoes captured in traps; and compare the outcomes of this assay when applied to DNA or RNA. We identified known human and animal pathogens and mosquito parasites belonging to a wide range of taxa, insect Flaviviruses, and novel DNA sequences from previously uncharacterized organisms. Our results also revealed that analysis of the content of an entire trap is an efficient approach to monitor and identify potential vector-borne pathogens in large surveillance studies, and that analyses of RNA extracted from mosquitoes is preferable, when possible, over DNA-based analyses. Overall, we describe a flexible and easy-to-customize assay that can provide important information for vector-borne disease surveillance and research studies to efficiently complement current approaches.

microbiology↗

bioRxiv2019

New insights into malaria susceptibility from the genomes of 17,000 individuals from Africa, Asia, and Oceania

We conducted a genome-wide association study of host resistance to severe Plasmodium falciparum malaria in over 17,000 individuals from 11 malaria-endemic countries, undertaking a wide ranging analysis which identifies five replicable associations with genome-wide levels of evidence. Our findings include a newly implicated variant on chromosome 6 associated with risk of cerebral malaria, and the discovery of an erythroid-specific transcription start site underlying the association in ATP2B4. Previously reported HLA associations cannot be replicated in this dataset. We estimate substantial heritability of severe malaria (h2 ~ 23%), of which around 10% is explained by the currently identified associations. Our dataset will provide a major building block for future research on the genetic determinants of disease in these diverse human populations.

genetics↗