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<p>Host genetic factors, specifically major histocompatibility complex (MHC) influence the prognosis of COVID-19 infections. It plays a central role in the body’s ability to recognize and respond to pathogens, including viruses like SARS-CoV-2. This study aims to identify the significant human leukocyte antigen B (HLA-B) allele genotypes associated with severe cases among SARS-CoV-2-positive patients attending the PCR unit in The Fever Hospital-Alexandria, Egypt. This cross-sectional study was conducted from November 2022 through April 2023. Two swabs (nasopharyngeal and oropharyngeal) were collected from each patient for RT-PCR to determine the cycle threshold (Ct) value. Subsequently, 2&#xa0;ml of EDTA blood was drawn from each patient for DNA extraction and HLA-B typing using the INNO-LiPA HLA-B Update Plus kit. Patients were divided according to the severity of their infection: mild (<i>N</i> = 15, mean Ct = 26.27 ± 1.27), moderate (<i>N</i> = 15, mean Ct = 24.20 ± 1.63), and severe (<i>N</i> = 15, mean Ct = 22.27 ± 0.93). Ct values were the lowest amongst the severe group with a mean of 22.27 (<i>p</i> = 0.026). Regarding the severity of SAR-CoV-2 infection, 39 HLA-B genotypes, 6 HLA-B super-types, and 22 HLA-B alleles were identified. HLA-B44 was the most significant allele when comparing the three groups of severity: mild, moderate, and severe <i>(p</i> = 0.044<i>)</i>. HLA-B08 and HLA-B44 had a statistical significance of <i>(p</i> = 0.011) and <i>(p</i> = 0.034<i>)</i> respectively when comparing the mild group to hospitalized group (severe + moderate). The Ct value is a clear predictor of SARS-CoV-2 severity. HLA-B44 and HLA-B08 were the most significant alleles associated with severe cases, emphasizing the association of human leukocyte antigen B alleles with disease severity and viral load in determining COVID-19 outcomes. These findings may contribute to the development of personalized medical management and improve strategies for COVID-19 control and prevention.</p>

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Association of human leukocyte antigen B genotypes with COVID-19 severity in Egyptian patients

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月17日

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  • Reham Abdelmonem,
  • Heba Selim,
  • Shymaa Abdullah Mohamed,
  • Richard Donkor Amponsah,
  • Mohamed Nabil Roshdy,
  • Mona Hassan Hashish

摘要

Host genetic factors, specifically major histocompatibility complex (MHC) influence the prognosis of COVID-19 infections. It plays a central role in the body’s ability to recognize and respond to pathogens, including viruses like SARS-CoV-2. This study aims to identify the significant human leukocyte antigen B (HLA-B) allele genotypes associated with severe cases among SARS-CoV-2-positive patients attending the PCR unit in The Fever Hospital-Alexandria, Egypt. This cross-sectional study was conducted from November 2022 through April 2023. Two swabs (nasopharyngeal and oropharyngeal) were collected from each patient for RT-PCR to determine the cycle threshold (Ct) value. Subsequently, 2 ml of EDTA blood was drawn from each patient for DNA extraction and HLA-B typing using the INNO-LiPA HLA-B Update Plus kit. Patients were divided according to the severity of their infection: mild (N = 15, mean Ct = 26.27 ± 1.27), moderate (N = 15, mean Ct = 24.20 ± 1.63), and severe (N = 15, mean Ct = 22.27 ± 0.93). Ct values were the lowest amongst the severe group with a mean of 22.27 (p = 0.026). Regarding the severity of SAR-CoV-2 infection, 39 HLA-B genotypes, 6 HLA-B super-types, and 22 HLA-B alleles were identified. HLA-B44 was the most significant allele when comparing the three groups of severity: mild, moderate, and severe (p = 0.044). HLA-B08 and HLA-B44 had a statistical significance of (p = 0.011) and (p = 0.034) respectively when comparing the mild group to hospitalized group (severe + moderate). The Ct value is a clear predictor of SARS-CoV-2 severity. HLA-B44 and HLA-B08 were the most significant alleles associated with severe cases, emphasizing the association of human leukocyte antigen B alleles with disease severity and viral load in determining COVID-19 outcomes. These findings may contribute to the development of personalized medical management and improve strategies for COVID-19 control and prevention.