HLA-Bw4 in association with KIR3DL1 favors natural killer cell-mediated protection against severe COVID-19

Wang, Ruihua;Sun, Ying;Kuang, Bo-Hua;Yan, Xiao;Lei, Jinju;Lin, Yu-Xin;Tian, Jinxiu;Li, Yating;Xie, Xiaoduo;Chen, Tao;Zhang, Hui;Zeng, Yi-Xin;Zhao, Jincun;Feng, Lin

Description

Replicating SARS-CoV-2 has been shown to degrade HLA class I on target cells to evade the cytotoxic T-cell (CTL) response. HLA-I downregulation can be sensed by NK cells to unleash killer cell immunoglobulin-like receptor (KIR)-mediated self-inhibition by the cognate HLA-I ligands. Here, we investigated the impact of HLA and KIR genotypes and HLA-KIR combinations on COVID-19 outcome. We found that the peptide affinities of HLA alleles were not correlated with COVID-19 severity. The predicted poor binders for SARS-CoV-2 peptides belong to HLA-B subtypes that encode KIR ligands, including Bw4 and C1 (introduced by B*46:01), which have a small F pocket and cannot accommodate SARS-CoV-2 CTL epitopes. However, HLA-Bw4 weak binders were beneficial for COVID-19 outcome, and individuals lacking the HLA-Bw4 motif were at higher risk for serious illness from COVID-19. The presence of the HLA-Bw4 and KIR3DL1 combination had a 58.8% lower risk of developing severe COVID-19 (OR = 0.412, 95% CI = 0.187-0.904, p = 0.02). This suggests that HLA-Bw4 alleles that impair their ability to load SARS-CoV-2 peptides will become targets for NK-mediated destruction. Thus, we proposed that the synergistic responsiveness of CTLs and NK cells can efficiently control SARS-CoV-2 infection and replication, and NK-cell-mediated anti-SARS-CoV-2 immune responses being mostly involved in severe infection when the level of ORF8 is high enough to degrade HLA-I. The HLA-Bw4/KIR3DL1 genotype may be particularly important for East Asians undergoing COVID-19 who are enriched in HLA-Bw4-inhibitory KIR interactions and carry a high frequency of HLA-Bw4 alleles that bind poorly to coronavirus peptides.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.0

FAIR Score

85%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Immunology

Field

Immunology and Microbiology

Domain

Life Sciences

Confidence Score

98%

Source

Open Alex

Keywords

BiophysicsMolecular BiologyImmunologyFOS: Clinical medicineInfectious DiseasesFOS: Health sciencesVirologyComputational Biology

Normalization Factors

FT

40.38

CTw

1.00

MTw

1.00