Abstract
BackgroundMalaria, caused by Plasmodium, is one of the three major infectious diseases that seriously endangers public health. Resistance to anti-malarial drugs and insecticides has made the prevention and control of malaria shown little improvement in the last four years. This study aimed to explore the changes in microRNA (miRNA) expression profiling of malaria patient and predict malaria-related miRNA by bioinformatics methods to provide theoretical basis for further verification of the correlation between specific miRNAs and immune regulation of malaria.MethodsSerum of patients infected by Plasmodium falciparum and healthy people from Myanmar border area was collected. miRNA expression profiling was obtained by RT-qPCR. Then the differentially expressed miRNA was screened and target genes were predicted by four miRNA databases (TargetScan, DIANA-microT, miRDB, and miRTarbase) and an intersection of target genes was obtained by Venn analysis. GO and KEGG analysis were performed for the overlapping target genes via Metascape. The results were further visualized by Cytoscape. Finally, Protein-protein interaction (PPI) network of predicted overlapping target genes was built by STRING.ResultsAmong the 341 tested serum miRNAs, 64 were differentially expressed in malaria patients (P<0.05), 27 miRNAs were up-regulated and 37 miRNAs were down-regulated. The miRNA with the most significant difference was hsa-miR-106b-5p (FC=14.871, adjusted.P.value<0.01); GO and KEGG analysis found that its overlapping predicted target gene set was remarkably enriched in biological functions such as GO:0007264~small GTPase mediated signal transduction, GO:0051056~regulation of small GTPase mediated signal transduction, GO:0051020~GTPase binding, GO:0048514~blood vessel morphogenesis(P<0.01) and signal pathway such as hsa04144: Endocytosis, hsa01521:EGFR tyrosine kinase inhibitor resistance, hsa05212:Pancreatic cancer (P<0.01); Besides, a PPI network containing 39 predicted target genes of hsa-miR-106b-5p was constructed, and 5 hub genes VEGFA, STAT3, RACGAP1, OCRL, and RBBP7 have been selected.ConclusionThe bioinformatics analysis results indicated that hsa-miR-106b-5p has a great relationship with malaria, it plays a part in inhibiting the emergence of ARTs resistance in Plasmodium and tumor progression, which may be achieved by regulating vascular morphogenesis, endocytosis, and VEGFA. The underlying mechanism needs to be further elucidated. We believe that this finding will facilitate an in-depth research on the association between malaria and miRNA.