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Unraveling potential gene biomarkers for dengue infection through RNA sequencing

Suppiah J 1 , Md Sani SS 2 , Hassan SS 3 , Nadzar NIF 3 , Ibrahim N' 4 , Thayan R 3 Show all authors , Mohd Zain R 3

Affiliations 

  • 1 Virology Unit, Infectious Disease Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, 40170, Setia Alam, Selangor Darul Ehsan, Malaysia. jeyanthi@moh.gov.my
  • 2 Hospital Kuala Lumpur, Jalan Pahang, 50586, Kuala Lumpur, Malaysia
  • 3 Virology Unit, Infectious Disease Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, 40170, Setia Alam, Selangor Darul Ehsan, Malaysia
  • 4 Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000, Cheras, Kuala Lumpur, Malaysia
Virus Genes, 2025 Feb;61(1):26-37.
PMID: 39397194 DOI: 10.1007/s11262-024-02114-2

Abstract

Dengue virus hijacks host cell mechanisms and immune responses in order to replicate efficiently. The interaction between the host and the virus affects the host's gene expression, which remains largely unexplored. This pilot study aimed to profile the host transcriptome as a potential strategy for identifying specific biomarkers for dengue prediction and detection. High-throughput RNA sequencing (RNA-seq) was employed to generate host transcriptome profiles in 16 dengue patients and 10 healthy controls. Differentially expressed genes (DEGs) were identified in patients with severe dengue and those with dengue with warning signs compared to healthy individuals. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to elucidate the functions of upregulated and downregulated genes. Compared to healthy controls, 6466 genes were significantly differentially expressed (p 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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