Research Article | Open Access
Volume 2022 - 1 | Article ID 218 | https://dx.doi.org/10.51521/IJGHE.2022.1205
Academic Editor: John Bose
GREGORIO RANGEL1,2*, PORNLADA NUCHNOI3, ANUWAT
PINYACHART2 AND SURASAK WANRAM2*
1Department of
Biomedical Laboratory Sciences, Dili Health Science Institute, Timor-Leste
2College of
Medicine and Public Health; Center for Excellence in Biomedical Science and
Engineering, Ubon Ratchathani, 34190 Thailand
3Department of
Clinical Microscopy, Faculty of Medical Technology, Mahidol University,
Bangkok, 10700 Thailand; Center for Research and Innovation, Faculty of Medical
Technology, Mahidol University, Bangkok, Thailand.
*Corresponding author: Gregorio Rangel., Department of Biomedical
Laboratory Science, Dili Health Science Institute, Timor-Leste, Emil: gregoriorangel20@gmail.com
Citation: Gregorio
Rangel*, Pornlada Nuchnoi, Anuwat Pinyachart and Surasak Wanram*, (2022)
Bioinformatics Analysis on MicroRNAs that Modulate Significant Host Response
Genes as Potential Biomarkers in Cerebral Malaria Infection. Int J
Gastroenterol Hepatol Endosc, 1(2);1-8.
Copyright: ©
2022, Gregorio Rangel et al., This is an open-access article
distributed under the terms of the Creative Commons Attribution 4.0
International License, which permits unrestricted use, distribution and
reproduction in any medium, provided the original author and source are
credited.
ABSTRACT
Introduction: Pathogenesis of severe malaria and
cerebral malaria infection is a major problem that affects human body.
Candidate genes related to the pathogenesis of malaria disease such as CD36,
IFN-γ, TLR4, PRR15 may associate with host microRNA. The contribution of the malaria pathogenesis with
host cytokine responses through the cerebral malaria infection may associate
with significant miRNAs serving for biomarkers still remain unclear.
Objectives: This study was focused on bioinformatics
analysis of host target miRNAs response genes association with pathogenesis of
malaria as a potential biomarker for development of severe malaria and cerebral
malaria.
Materials
and methods: Two
different bioinformatics tools including miRanda and Target Scan were used in
the prediction of the host genes associated specifically with miRNA as
potential biomarkers of malaria.
Results: The prediction result using
bioinformatics tools showed that miR-203a-3p.1, miR-146, miR-155-5p,
miR-425-5p, miR-217, miR-153-3p, miR-455-3p.2, miR-223, miR-143-3p, miR-146-5p,
miR- 216a-5p were able to regulate host genes during the development of severe
malaria and cerebral malaria.
Conclusion: The
bioinformatics analysis of the host microRNA as potential biomarkers from
selected gene CD36, TLR4, IFN-γ and PRR15 using
bioinformatics tools designated that associated with definite miRNAs such as
miR-146 and miR-155. The circulating microRNAs
associated with panels of significant host genes should be further
investigated.
KEYWORDS: Malaria, P. falciparum, Circulating miRNAs, Host
genes, Prognostic biomarker.
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