IFNL4, ACE1, PKR, IFNG, MBL2 genetic polymorphisms and severe COVID-19: A protocol for systematic review and

Hengjia Tu1, Junrong Bao2

  • 1Guangzhou Medical University, Xinzao, Panyu District, Guangzhou City, Guangdong Province, People's Republic of China.

Medicine
|May 27, 2022
PubMed
Abstract

Insights

This study examines genetic polymorphisms in IFNL4, ACE1, PKR, IFNG, and MBL2 and their association with severe COVID-19. Findings will aid in early prevention strategies for coronavirus disease 2019.

Area of Science:

  • Genetics and Molecular Biology
  • Infectious Diseases
  • Immunology

Background:

  • Severe COVID-19 pathogenesis involves SARS-CoV-2 interaction with host ACE-2.
  • Genetic variations across populations may impact COVID-19 severity.
  • The role of specific gene polymorphisms (IFNL4, ACE1, PKR, IFNG, MBL2) in severe COVID-19 remains unclear.

Purpose of the Study:

  • To systematically review and meta-analyze the association between IFNL4, ACE1, PKR, IFNG, MBL2 genetic polymorphisms and severe COVID-19.
  • To consolidate existing evidence on the genetic underpinnings of severe coronavirus disease 2019.
  • To identify potential genetic markers influencing COVID-19 outcomes.

Main Methods:

  • Comprehensive literature search of English and Chinese studies in major databases (PubMed, MEDLINE, Embase, Web of Science, Scopus, Cochrane Library, Google Scholar) up to March 31, 2022.
  • Independent screening and data extraction by two researchers.
  • Methodological quality assessment using the Cochrane Handbook for Systematic Reviews of Interventions.

Main Results:

  • This systematic review and meta-analysis will synthesize data on the relationship between IFNL4, ACE1, PKR, IFNG, MBL2 genetic polymorphisms and severe COVID-19.
  • Results will quantify the association, providing statistical evidence.
  • Findings will be prepared for publication in a peer-reviewed journal.

Conclusions:

  • The study will provide evidence regarding the influence of specific genetic polymorphisms on severe COVID-19.
  • Results aim to contribute to the understanding of COVID-19 susceptibility and progression.
  • Findings may inform early prevention strategies for severe coronavirus disease 2019.