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dc.contributor.authorMadushani, AKM
dc.contributor.authorAbeygoonawardena, H
dc.contributor.authorNavaratne, PBV
dc.contributor.authorWijesinghe, RANK
dc.contributor.authorDe Silva, AD
dc.date.accessioned2023-11-03T04:03:04Z
dc.date.available2023-11-03T04:03:04Z
dc.date.issued2023-09
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/6790
dc.description.abstractDengue virus infection presents a wide spectrum of manifestations including asymptomatic infections, Dengue Fever (DF), or severe dengue, such as Dengue Haemorrhagic Fever (DHF) and dengue shock syndrome in affected individuals. Our aim was to predict the likelihood of a dengue patient, developing a severe form of the disease at an early stage, for more efficient patient management. Many studies have been carried out in protein assay methods to identify potential biomarkers, but quantitative transcriptomic level studies are rare for dengue. The extracted RNAs from the peripheral blood mononuclear cells of 59 DF patients and 35 DHF patients during the febrile stage of the disease were used to measure the expression levels of selected genes by quantitative polymerase chain reaction. The mRNA expression levels of cytokines IL-06, IL-10, LTF, TGFBR3, UQCRQ, and RASSF5 were analysed by relative quantification using GAPDH as a reference. The study revealed that the mRNA level of IL 06 was upregulated and other five genes such as IL-10, LTF, TGFFBR3, UQCRQ, and RASSF5 were down-regulated in DHF compared to DF patients during the acute phase of dengue infection. Statistically significant differences were found for UQCRQ and RASSF5 gene expression levels in DHF and DF patients. These may be useful as potential biomarkers for the clinical prognosis of severe dengue. Further studies need to be done to confirm the findings.
dc.language.isoenen_US
dc.subjectDengueen_US
dc.subjectBiomarkersen_US
dc.subjectReal-time Polymerase Chain Reactionen_US
dc.titlePrediction of Biomarkers to Detect Severe Dengue in the Acute Stageen_US
dc.typeArticle Abstracten_US
dc.identifier.facultyFaculty of Medicineen_US
dc.identifier.journal16th International Research Conferenceen_US
dc.identifier.pgnos4en_US


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