A new study explores the impact that mosquitoes modified with the gene drive technology could have on malaria incidence if deployed in West Africa.
The Target Malaria UK modelling team at Imperial College London published “The potential of gene drives in malaria vector species to control malaria in African environments” in Nature Communications.
To conduct the research, scientists used a mathematical model to test various hypotheses on the epidemiological efficacy of gene drives.
“We simulated gene drive releases in different West African locations to investigate how gene drive technology could reduce malaria prevalence in a wide range of environments”, says lead author Dr Ace North, a researcher at the University of Oxford and lead modeler at Target Malaria UK.
The model incorporated data from 16 locations across 13 malaria-endemic countries—Senegal, Guinea-Bissau, Ghana, Nigeria, Cameroon, Sierra Leone, Liberia, Guinea, Togo, Benin, and Côte d’Ivoire – factoring in landscape features, climate, mosquito species, malaria prevalence, and interventions like insecticides, drug treatments, and vaccines.
“This novel approach to modelling gene drive interventions for malaria control includes entomological and epidemiological processes. Our approach incorporates inputs that help evaluate the combined effect of control measures aimed at insects and humans, as well as how local conditions affect the success of interventions,” says co-author Dr Penny Hancock, biostatistician and epidemiologist at Imperial College London/MRC Centre for Global Infectious Disease Analysis, part of Target Malaria UK.
The mathematical model developed by Target Malaria demonstrates that gene drive mosquitoes could significantly boost malaria control when used in combination with new bed net products and vaccines.
The study indicates a 71,6% to 98,4% reduction in mosquito populations, resulting in substantial malaria case reductions.
At least 60% more clinical cases would be potentially averted if gene drives were added to other new tools including RTS,S vaccination and pyrethroid-PBO bed nets.
These findings highlight the benefits and potential of gene drives, and the need for an integrated approach to malaria response, with new and innovative tools bridging the gap of conventional interventions.
The model also predicted the necessity to disseminate gene drives in multiple mosquito species to strongly reduce malaria burden (by 90% in all areas). In West Africa, this means targeting four important vector species: Anopheles gambiae, An. coluzzii, An. arabiensis, and An. funestus.
According to the model, gene drive mosquitoes would be disseminated spatially from the initial release location, resulting in temporary eliminations of the targeted malaria mosquito species (suppressed by about 72% to 92%). The targeted vector species will not be permanently eliminated from the region but reduced by about 72% to 92%.
Genetic technologies, such as gene drive, can offer complementary tools to address some of the challenges and limitations faced by current malaria control methods. This promising control method could offer a long-term and cost-effective approach to control malaria, well-suited to the widespread and largely rural burden of the disease.
Mathematical models have helped develop a theoretical understanding of how gene drive releases could impact vector populations and reduce disease prevalence. In anticipation of the first gene drive field releases, models have increasingly been customized to specific malaria-endemic locations.
The new study also highlights several new avenues of scientific research in the field of gene drives where further field studies of malaria-transmitting mosquitoes will be required.