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Open AccessFeature PaperArticle

Individualized Transcriptional Resolution of Complicated Malaria in a Colombian Study

1
Center for Integrative Genomics, Georgia Institute of Technology, Atlanta, GA 30332, USA
2
CAUCASECO, Cali, Colombia
*
Author to whom correspondence should be addressed.
These authors contributed equally as first authors.
These authors contributed equally as senior authors.
J. Pers. Med. 2018, 8(3), 29; https://doi.org/10.3390/jpm8030029
Received: 14 August 2018 / Revised: 7 September 2018 / Accepted: 10 September 2018 / Published: 14 September 2018
To evaluate whether recovery from complicated malaria follows a common trajectory in terms of immunological mechanism or, rather, is highly individualized for each patient, we performed longitudinal gene expression profiling of whole blood. RNA sequencing (RNAseq) was performed on blood samples obtained from eight patients on four consecutive days between hospital admission and discharge. Six patients were infected with Plasmodium falciparum, and two with Plasmodium vivax; one patient was a pregnant woman infected with P. falciparum, who was hospitalized for several weeks. The characterization of blood transcript modules (BTM) and blood informative transcripts (BIT) revealed that patients’ responses showed little commonality, being dominated by the balance of gene activity relating to lymphocyte function, inflammation, and interferon responses specific to each patient. Only weak correlations with specific complicated malaria symptoms such as jaundice, thrombocytopenia, or anemia were observed. The differential expression of individual genes, including transcripts derived from the human leukocyte antigen (HLA) complex, generally reflected differences in the underlying immune processes. Although the results of this pilot study do not point to any single process that might provide a target for complicated malaria treatment or prevention or personalized medical strategies, larger patient series and more extensive blood sampling may allow the classification of patients according to their type of response in order to develop novel therapeutic approaches. View Full-Text
Keywords: transcriptomics; RNAseq; gene expression; longitudinal profiling; Plasmodium transcriptomics; RNAseq; gene expression; longitudinal profiling; Plasmodium
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Rojas-Peña, M.L.; Duan, M.; Arafat, D.; Rengifo, L.; Herrera, S.; Arévalo-Herrera, M.; Gibson, G. Individualized Transcriptional Resolution of Complicated Malaria in a Colombian Study. J. Pers. Med. 2018, 8, 29.

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