E-Poster with pre-recorded video presentation Lorne Infection and Immunity 2021

Single cell transcriptional profiles of immune cell subsets from children and adults with malaria. (#299)

Tinashe G Chabikwa 1 , Dean W Andrew 1 , Jessica R Loughland 1 , Kim A Piera 2 , Bridget E Barber 1 , Matthew J Grigg 2 , Timothy William 3 , Nick M Anstey 2 , Michelle J Boyle 1
  1. QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
  2. Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia
  3. Infectious Diseases Society, Sabah-Menzies School of Health Research Clinical Research Unit, Gleneagles Medical Centre, Kota Kinabalu, Sabah, Malaysia

In 2018, there were 228 million cases of malaria, leading to more than 400,000 deaths, of which ~70% were among children under the age of five. In areas of high malaria incidence, naturally acquired immunity to malaria increases with repeated infection. However, age seems to be a factor in immune acquisition, for example adults gain protective immunity more rapidly than children in families moving from malaria naïve to malaria endemic settings. To investigate the impact of age on immune responses during malaria (Plasmodium falciparum) infection, we applied single cell RNA sequencing (scRNA-Seq) to profile peripheral blood mononuclear cells (PBMCs) of 3 children and 3 adult patients during acute infection, 7 days post-treatment and at 28 days post treatment during convalescence. We found that the composition of circulating immune cells varied significantly between malaria infection and convalescence, with significant changes to monocytes and B-cells, whereas the proportions of CD8 and CD4 T cells remained relatively consistent. Multiple transcriptional changes were identified which were both unique to specific cells types, and shared globally across multiple cell subsets. By comparing transcriptional changes during infection between children and adults, we identified multiple age dependent differences which may influence acquisition of protective immunity. Together data generated are a unique resource to investigate malaria induced and age specific changes to immune responses.