Dataset Information

Systems approach identifies monocyte imbalance in symptomatic and asymptomatic P. vivax malaria

ABSTRACT: Although asymptomatic malaria was historically perceived as innocuous, emerging evidence revealed an immunosuppressive signature induced by asymptomatic Plasmodium falciparum infections. To examine if a similar process occurs in Plasmodium vivax malaria, we pursued a systems approach, integrating transcriptional profiling together with previously reported and novel mass cytometry phenotypes from individuals with symptomatic and asymptomatic P. vivax malaria. Symptomatic P. vivax malaria featured upregulation of anti-inflammatory pathways and checkpoint receptors. A profound downregulation of transcripts with roles in monocyte function was observed in symptomatic P. vivax malaria. This reduction in monocyte transcriptional activity was accompanied by a significant depletion of CCR2+CXCR4+ classical monocytes in symptomatic individuals. Despite allowing transcriptional profiles supporting T-cell differentiation, dysregulation of genes associated with monocyte activation and the inflammasome was also evident in individuals carrying P. vivax asymptomatic infections. Our results identify monocyte dysregulation as a key feature of the response to P. vivax malaria and support the concept that asymptomatic infection is not innocuous and might not support all immune processes required to eliminate parasitemia or efficiently respond to vaccination.

ORGANISM(S): Homo sapiens

PROVIDER: GSE273483 | GEO | 2025/08/20

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other
	GSE273483_Pvivax_RNAseq_counts.txt.gz	Txt

Items per page:

1 - 2 of 2

Similar Datasets

Project description:Plasmodium vivax is the most geographically widespread human malaria parasite causing approximately 130-435 million infections annually. It is an economic burden in many parts of the world and poses a public health challenge along with the other Plasmodium sp. The biology of this parasite is very little understood. Emerging evidences of severe complications due to infections by this parasite provides an impetus to focus research on the same. Investigating this parasite directly from the infected patients is the most feasible way to study its biology and any pathogenic mechanisms which may exist. Gene expression studies of this parasite directly obtained from the patients has provided evidence of gene regulation resulting in varying amount of transcript levels in the different blood stages. However, the mechanisms regulating gene expression in malaria parasites are not well understood. Discovery of natural antisense transcripts (NATs) in P. falciparum has suggested that these might play an important role in regulating gene expression. We report here the genome-wide occurrence of NATs in P. vivax parasites from patients with differing clinical symptoms. A total of 1348 NATs against annotated gene loci have been detected using a custom designed strand specific microarray. Majority of NATs identified from this study shows positive correlation with the expression pattern of the sense transcript. Our data also shows condition specific expression patterns of varying S and AS transcript levels. Genes with AS transcripts enrich to various biological processes. This is the first report detailing the presence of NATs from clinical isolates of P. vivax. The data suggests differential regulation of gene expression in diverse clinical conditions and would lead to future detailed investigations of genome regulation. Plasmodium vivax isolates were collected from patients (n = 8) with differing clinical conditions.The patients exhibited symptoms categorized as un-complicated (n =1) or complicated malaria (n = 7). Criteria for determination of complicated disease were based on World Health Organization year 2010 guidelines. Microarray array based transcriptional profiling was carried out to detect prevalence of natural antisense transcripts.

Dataset Information

Systems approach identifies monocyte imbalance in symptomatic and asymptomatic P. vivax malaria

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets