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Comparative transcriptomic analysis reveals translationally relevant processes in mouse models of malaria.
Georgiadou, Athina; Dunican, Claire; Soro-Barrio, Pablo; Lee, Hyun Jae; Kaforou, Myrsini; Cunnington, Aubrey J.
Affiliation
  • Georgiadou A; Section of Paediatric Infectious Disease, Department of Infectious Disease, Imperial College London, London, United Kingdom.
  • Dunican C; Centre for Paediatrics and Child Health, Imperial College London, London, United Kingdom.
  • Soro-Barrio P; Section of Paediatric Infectious Disease, Department of Infectious Disease, Imperial College London, London, United Kingdom.
  • Lee HJ; Centre for Paediatrics and Child Health, Imperial College London, London, United Kingdom.
  • Kaforou M; Section of Paediatric Infectious Disease, Department of Infectious Disease, Imperial College London, London, United Kingdom.
  • Cunnington AJ; Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Elife ; 112022 01 10.
Article in En | MEDLINE | ID: mdl-35006075
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plasmodium / Malaria, Falciparum / Gene Expression Profiling / Transcriptome / Malaria Type of study: Prognostic_studies Limits: Animals / Female / Humans Language: En Journal: Elife Year: 2022 Document type: Article Affiliation country: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plasmodium / Malaria, Falciparum / Gene Expression Profiling / Transcriptome / Malaria Type of study: Prognostic_studies Limits: Animals / Female / Humans Language: En Journal: Elife Year: 2022 Document type: Article Affiliation country: Reino Unido