Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria

File Description SizeFormat 
aar3619_SupplementalMaterial_Final Accepted No Mark-up.docxSupporting information2.37 MBMicrosoft WordDownload
supplementary_table_5.xlsxSupporting information471.71 kBUnknownDownload
supplementary_table_6.xlsxSupporting information98.85 kBUnknownDownload
supplementary_table_8.xlsxSupporting information574.64 kBUnknownDownload
supplementary_table_10.xlsxSupporting information1.34 MBUnknownDownload
Supplementary_Dataset_1.xlsxSupporting information21.71 kBUnknownDownload
supplementary_table_1.xlsxSupporting information879.23 kBUnknownDownload
supplementary_table_2.xlsxSupporting information1.03 MBUnknownDownload
supplementary_table_3.xlsxSupporting information1.22 MBUnknownDownload
supplementary_table_4.xlsxSupporting information444.5 kBUnknownDownload
supplementary_table_7.xlsxSupporting information102.37 kBUnknownDownload
supplementary_table_11.xlsxSupporting information1.78 MBUnknownDownload
aar3619_ArticleContent_Final_Accepted_Figures Included_No Mark-up.docxAccepted version10.65 MBMicrosoft WordDownload
Title: Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria
Author(s): Lee, HJ
Georgiadou, A
Walther, M
Nwakanma, D
Stewart, L
Levin, M
Otto, T
Conway, D
Coin, L
Cunnington, A
Item Type: Journal Article
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. Here 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. Co-expression 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 signalling, 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 targets for adjunctive therapy.
Publication Date: 27-Jun-2018
Date of Acceptance: 8-Jun-2018
URI: http://hdl.handle.net/10044/1/61248
DOI: https://dx.doi.org/10.1126/scitranslmed.aar3619
ISSN: 1946-6234
Publisher: American Association for the Advancement of Science
Journal / Book Title: Science Translational Medicine
Volume: 10
Issue: 447
Copyright Statement: © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works http://www.sciencemag.org/about/science-licenses-journal-article-reuse. This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science Translational Medicine, DOI: 10.1126/scitranslmed.aar3619
Sponsor/Funder: Medical Research Council (MRC)
Funder's Grant Number: MR/L006529/1
Keywords: Malaria
Transcriptomics
RNA-sequencing
Pathogenesis
11 Medical And Health Sciences
06 Biological Sciences
Article Number: eaar3619
Appears in Collections:Department of Medicine
Faculty of Medicine



Items in Spiral are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons