The role of inflammatory gene polymorphisms in severe COVID-19: a review
Jia Qi Yip, Adrian Oo, Yan Ling Ng, Kim Ling Chin, Kim-Kee Tan, Justin Jang Hann Chu, Sazaly Abubakar, Nurhafiza Zainal
Virology Journal, doi:10.1186/s12985-024-02597-3
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has profoundly impacted global healthcare systems and spurred extensive research efforts over the past three years. One critical aspect of the disease is the intricate interplay between the virus and the host immune response, particularly the role of inflammatory gene expression in severe COVID-19. While numerous previous studies have explored the role of genetic polymorphisms in COVID-19, research specifically focusing on inflammatory genes and their associations with disease severity remains limited. This review explores the relationship between severe COVID-19 outcomes and genetic polymorphisms within key inflammatory genes. By investigating the impact of genetic variations on immune responses, which include cytokine production and downstream signalling pathways, we aim to provide a comprehensive overview of how genetic polymorphisms contribute to the variability in disease presentation. Through an in-depth analysis of existing literature, we shed light on potential therapeutic targets and personalized approaches that may enhance our understanding of disease pathogenesis and treatment strategies.
Author contributions JQY, AO, and YLN were involved in the initial draft writing. NZ and KLC provided critical revisions to the manuscript. KKT, JJHC, and SAB edited and reviewed the manuscript. All authors have read and agreed to the published version of the manuscript.
Funding We extend our sincere gratitude to the Ministry of Science, Technology and Innovation for the MOSTI-Funding (MOSTI004-2021SRF) awarded to Dr. Nurhafiza Zainal, which made this study possible through their generous support. We also appreciate the support from the Higher Institution Centre of Excellence (HICoE) Program (Project MO002-2019).
Availability of data and materials Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.
Declarations Ethics approval and consent to participate Not applicable.
Consent for publication Not applicable.
Competing interests The authors declare that they have no competing interests.
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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