Comparative transcriptomic analysis reveals translationally relevant processes in mouse models of malaria
OA Location
Author(s)
Type
Journal Article
Abstract
Recent initiatives to improve translation of findings from animal models to human disease have focussed on reproducibility but quantifying the relevance of animal models remains a challenge. Here, we use comparative transcriptomics of blood to evaluate the systemic host response and its concordance between humans with different clinical manifestations of malaria and five commonly used mouse models. Plasmodium yoelii 17XL infection of mice most closely reproduces the profile of gene expression changes seen in the major human severe malaria syndromes, accompanied by high parasite biomass, severe anemia, hyperlactatemia, and cerebral microvascular pathology. However, there is also considerable discordance of changes in gene expression between the different host species and across all models, indicating that the relevance of biological mechanisms of interest in each model should be assessed before conducting experiments. These data will aid the selection of appropriate models for translational malaria research, and the approach is generalizable to other disease models.
Date Issued
2022-01-10
Date Acceptance
2021-12-22
Citation
eLife, 2022, 11
ISSN
2050-084X
Publisher
eLife Sciences Publications Ltd
Journal / Book Title
eLife
Volume
11
Copyright Statement
© Georgiadou et al. This article is distributed
under the terms of the Creative Commons Attribution License, which permits unrestricted use and edistribution provided that the original author and source are credited.
under the terms of the Creative Commons Attribution License, which permits unrestricted use and edistribution provided that the original author and source are credited.
License URL
Sponsor
Medical Research Council (MRC)
Wellcome Trust
Imperial College London
Imperial College London
Grant Number
MR/L006529/1
206508/Z/17/Z
Subjects
genetics
genomics
malaria
mouse
mouse models
transcriptomics
0601 Biochemistry and Cell Biology
Publication Status
Published
Article Number
ARTN e70763