ArticleImmunity, inflammation and disease2021
Genomic analysis of host gene responses to cerebral Plasmodium falciparum malaria.
Article in Immunity, inflammation and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- SPSB3-mediated K48- and K63- linked ubiquitination and degradation of TUFM promote apoptosis induced by myocardial ischemia/reperfusion injury.Cell biology and toxicology · 2026Article
- Neurovascular Pathophysiology and Emerging Biomarkers in Cerebral Malaria: An Integrative Perspective.Neurology international · 2025Review
- Article
- Diagnosis of cerebral malaria: Tools to reduceFrontiers in cellular and infection microbiology · 2023Review
- Transcriptome Analysis of Plasmodium falciparum Isolates From Benin Reveals Specific Gene Expression Associated With Cerebral Malaria.The Journal of infectious diseases · 2022Article
- Genomic analysis of host gene responses to cerebral Plasmodium falciparum malaria.Immunity, inflammation and disease · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionA vaccine for malaria is urgently required but no vaccine has yet shown satisfactory protective efficacy especially for Plasmodium falciparum. P. falciparum infection can progress to cerebral malaria (CM), a neurological syndrome with exceedingly high mortality. Designing effective P. falciparum vaccines require more understanding of the protective immune response while the host immune response to CM and the mechanisms are still elusive. Here, we aim to identify host gene responses to CM and host gene networks associated with CM pathogenesis.
methodsAn innovative genomic analysis strategy, the weighted gene coexpression network analysis (WGCNA) combined with differential gene expression analysis, was used in this study. Data for analysis contain 93 whole blood samples, derived from two previous public transcriptome datasets.
resultsThis approach led to the identification of numerous differentially expressed human transcripts and dozens of coexpression gene modules. We further identified nine key genes, including MBP, SAMSN1, PSMF1, SLC39A8, EIF3B, SMPDL3A, FABP5, SPSB3, and SHARPIN, of which the last four genes were first identified to be related to CM in the present study.
conclusionThe results provided a comprehensive characterization of host gene expression profiles in CM and offered some new insight into malaria vaccine design. These identified key genes could be potential targets or immune modulators for novel therapeutic interventions of CM.
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