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Updated: Feb 8, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria
Hyun Jae Lee1, Athina Georgiadou2, Michael Walther3
1Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland 4072, Australia.
Insights
Severe malaria pathogenesis involves complex host-parasite interactions. Dual RNA sequencing reveals distinct gene expression profiles in severe malaria, highlighting neutrophil responses and parasite virulence factors.
Area of Science:
- Genomics
- Infectious Diseases
- Immunology
Background:
- Infectious disease pathogenesis arises from host-pathogen interactions.
- Dual RNA sequencing offers a method to study host and pathogen responses simultaneously in diseases like Plasmodium falciparum malaria.
Purpose of the Study:
- To investigate the mechanisms underlying severe malaria pathophysiology using dual transcriptome analysis.
- To identify host and parasite gene expression differences associated with severe malaria phenotypes.
Main Methods:
- Dual transcriptome sequencing of blood samples from 46 Gambian children with malaria.
- Integration of transcriptomic data with parasite load and clinical information.
- Multivariate analyses to identify key drivers of severe malaria.
Main Results:
- Hundreds of human and parasite genes were differentially expressed between severe and uncomplicated malaria.
- High expression of neutrophil granule-related genes correlated with all severe malaria phenotypes.
- Host gene expression was largely driven by parasite load, while parasite gene expression showed less correlation.
Conclusions:
- Severe malaria involves distinct host and parasite gene expression profiles, including neutrophil activation and parasite virulence factors.
- Host responses, particularly granulopoiesis and interferon signaling, alongside parasite factors, contribute to severe malaria.
- Findings provide a framework for understanding severe malaria pathogenesis and developing new treatments.
Abstract:
The pathogenesis of infectious diseases depends on the interaction of host and pathogen. In Plasmodium falciparum malaria, host and parasite processes can be assessed by dual RNA sequencing of blood from infected patients. We performed dual transcriptome analyses on samples from 46 malaria-infected Gambian children to reveal mechanisms driving the systemic pathophysiology of severe malaria. Integrating these transcriptomic data with estimates of parasite load and detailed clinical information allowed consideration of potentially confounding effects due to differing leukocyte proportions in blood, parasite developmental stage, and whole-body pathogen load. We report hundreds of human and parasite genes differentially expressed between severe and uncomplicated malaria, with distinct profiles associated with coma, hyperlactatemia, and thrombocytopenia. High expression of neutrophil granule-related genes was consistently associated with all severe malaria phenotypes. We observed severity-associated variation in the expression of parasite genes, which determine cytoadhesion to vascular endothelium, rigidity of infected erythrocytes, and parasite growth rate. Up to 99% of human differential gene expression in severe malaria was driven by differences in parasite load, whereas parasite gene expression showed little association with parasite load. Coexpression analyses revealed interactions between human and P. falciparum, with prominent co-regulation of translation genes in severe malaria between host and parasite. Multivariate analyses suggested that increased expression of granulopoiesis and interferon-γ-related genes, together with inadequate suppression of type 1 interferon signaling, best explained severity of infection. These findings provide a framework for understanding the contributions of host and parasite to the pathogenesis of severe malaria and identifying new treatments.
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