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Causal relationships between interleukins, interferons and COVID-19 risk: a Mendelian randomization study
Chao Wang1, Xin Wang2, Sainan Zhang1
1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.
This Mendelian randomization study reveals specific interleukins (ILs) and interferons (IFNs) that causally influence COVID-19 risk. Certain ILs and IFNs decrease risk, while others increase it, offering potential therapeutic targets.
Area of Science:
- Immunology
- Genetics
- Infectious Diseases
Background:
- Observational studies suggest associations between COVID-19 risk and cytokines like interleukins (ILs) and interferons (IFNs).
- The precise causal relationships between specific ILs, IFNs, and COVID-19 remain unclear.
Purpose of the Study:
- To investigate the causal effects of 47 cytokines, including 35 ILs and 12 IFNs, on COVID-19 risk.
- To elucidate the genetic underpinnings of cytokine involvement in COVID-19 pathogenesis.
Main Methods:
- Mendelian randomization analysis utilizing single nucleotide polymorphisms (SNPs) as instrumental variables (IVs).
- Employed three methods for causal effect estimation and MR-Egger regression for horizontal pleiotropy assessment.
- Conducted sensitivity analyses to ensure the robustness of the findings.
Main Results:
- Identified six cytokines associated with decreased COVID-19 risk: Interferon-omega-1 (IFN-W1) and Interleukins (IL-5, IL-6, IL-13, IL-16, IL-37).
- Identified six cytokines associated with increased COVID-19 risk: Interferon-gamma (IFNG) and Interleukins (IL-3, IL-8, IL-27, IL-31, IL-36β).
Conclusions:
- This Mendelian randomization study establishes causal links between specific ILs, IFNs, and COVID-19 risk.
- Findings provide valuable insights into potential cytokine-targeted therapeutic strategies for managing COVID-19.
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