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Published on: November 5, 2021
SARS-CoV-2 Infection Associated with HHV-6A Reactivation and an Inhibitory KIR2DL2/HLA-C1 Immunogenetic Profile
Sabrina Rizzo1, Matteo Ferraresi1, Giovanni Strazzabosco1
1Department of Environmental and Prevention Sciences, University of Ferrara, 44121 Ferrara, Italy.
The KIR2DL2/HLA-C1 genetic type may increase susceptibility to human herpesvirus 6 (HHV-6) reactivation, especially during SARS-CoV-2 infection. This combination is linked to severe COVID-19 outcomes and immune dysregulation.
Area of Science:
- Immunology
- Virology
- Genetics
Background:
- Natural killer (NK) cells regulate antiviral immunity via activating and inhibitory receptors like killer immunoglobulin-like receptors (KIRs).
- Previous studies linked increased KIR2DL2 and HLA-C1 to higher human herpesvirus (HHV) susceptibility.
- KIR-mediated NK cell function plays a role in host-virus interactions.
Purpose of the Study:
- To investigate the association between KIR2DL2/HLA-C1 genotype and human herpesvirus 6 (HHV-6) reactivation in SARS-CoV-2 infected individuals.
- To explore the potential link between this genetic profile, HHV-6 co-infection, and COVID-19 severity.
Main Methods:
- Genotyping for KIR2DL2 and HLA-C1 was performed on 110 SARS-CoV-2 positive and 109 negative subjects.
- HHV-6A/B reactivation was assessed in plasma samples using molecular methods.
- Correlation analysis was conducted between genetic profiles, viral reactivation, and clinical outcomes, including mortality and comorbidities.
Main Results:
- SARS-CoV-2 positive individuals exhibited a higher frequency of the KIR2DL2/HLA-C1 haplotype.
- Increased HHV-6A reactivation was observed in SARS-CoV-2 positive subjects.
- The co-occurrence of KIR2DL2/HLA-C1 and HHV-6A DNAemia was more prevalent in deceased and comorbid patients, particularly those with cardiovascular issues.
Conclusions:
- The KIR2DL2/HLA-C1 haplotype may enhance NK cell inhibition, promoting HHV-6A persistence and immune dysregulation in SARS-CoV-2 infection.
- This genetic and viral combination could serve as a molecular signature for predicting COVID-19 outcomes.
- Understanding these interactions is crucial for managing viral co-infections and improving patient prognosis.
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