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Hai NTT, Nhung VP, Tam NTT, Ngoc TTB, Thuong MTH, Dai HV, Duong NT, Hai NV, Ton ND, Thach PN, Ha NH. HLA alleles associated with susceptibility and severity of the COVID-19 in Vietnamese. Hum Immunol 2024; 85:110796. [PMID: 38580537 DOI: 10.1016/j.humimm.2024.110796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 04/07/2024]
Abstract
The diversity of clinical manifestations in COVID-19 has been observed not only among individuals but also among various populations in globally. HLA molecules play a central role in physiology, protective immunity, and deleterious, disease-related autoimmune reactivity or overreaction. This study exploited the association between HLA frequencies and SARS-CoV-2 susceptibility and disease severity among the Vietnamese cohort (159 patients and 52 controls). A significant difference in frequency of both HLA class I and II in mild, moderate, and severe/fatal COVID-19 patients and negative exposure individuals - the controls were observed. Regarding SARS-CoV-2 sensitivity, HLA-A*03:01, 30:01, HLA-DQA1*01:02, DRB1*15:01, and DRB5*02:02 presented higher frequency in the control group compared with infected patients but DRB1 09:01 frequency was higher in infected patients. Regarding COVID-19 severity, HLA-F*01:01, 01:03 and DPA1*01:03 and 02:01, DPB1*04:01, DQA1*01:02, and DQB1*05:02 alleles were detected with higher frequency in severe patients but DOB*01:01, DRB1*05:01 and 09:01 had a significantly higher frequency in the mild group than remaining groups. Surprisingly, HLA-DQA1*01:02 and DRB1*09:01 alleles were identified with both inversely potential roles in protective function and severe risk. The obtained data herein will contribute to explore on the role of host genetic background in the pathology of COVID-19 disease.
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Affiliation(s)
- Nguyen Thi Thanh Hai
- National Hospital for Tropical Diseases, Kim Chung, Dong Anh, Hanoi 10000, Viet Nam; Department of Biochemistry, Hanoi Medical University, 1 Ton That Tung, Dong Da, Hanoi 10000, Viet Nam
| | - Vu Phuong Nhung
- Institute of Genome Research, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 10000, Viet Nam
| | - Nguyen Thi Thanh Tam
- Department of Biochemistry, Hanoi Medical University, 1 Ton That Tung, Dong Da, Hanoi 10000, Viet Nam
| | - Tran Thi Bich Ngoc
- Institute of Genome Research, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 10000, Viet Nam
| | - Ma Thi Huyen Thuong
- Institute of Genome Research, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 10000, Viet Nam
| | - Ha Van Dai
- National Hospital for Tropical Diseases, Kim Chung, Dong Anh, Hanoi 10000, Viet Nam
| | - Nguyen Thuy Duong
- Institute of Genome Research, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 10000, Viet Nam; Graduate University of Science and Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Viet Nam
| | - Nong Van Hai
- Institute of Genome Research, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 10000, Viet Nam; Graduate University of Science and Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Viet Nam
| | - Nguyen Dang Ton
- Institute of Genome Research, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 10000, Viet Nam; Graduate University of Science and Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Viet Nam
| | - Pham Ngoc Thach
- National Hospital for Tropical Diseases, Kim Chung, Dong Anh, Hanoi 10000, Viet Nam
| | - Nguyen Hai Ha
- Institute of Genome Research, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 10000, Viet Nam; Graduate University of Science and Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Viet Nam.
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Balas A, Moreno-Hidalgo MÁ, de la Calle-Prieto F, Vicario JL, Arsuaga M, Trigo E, de Miguel-Buckley R, Bellón T, Díaz-Menéndez M. Coronavirus-19 disease risk and protective factors associated with HLA/KIR polymorphisms in Ecuadorian patients residing in Madrid. Hum Immunol 2023; 84:571-577. [PMID: 37777360 DOI: 10.1016/j.humimm.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 09/20/2023] [Accepted: 09/20/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND Immigrants represented 21.8% of cases in a Spanish cohort of hospitalised patients with COVID-19, a proportion exceeding the percentage of immigrants in that area's total population. Among the ethnic-related genetic risk factors for COVID-19, human leukocyte antigen (HLA) genotypes in diverse populations might bias the response to SARS-CoV-2 infection and/or progression. Similarly, genetic differences in natural killer-activating and inhibitory receptors could play a role in the immune system's response to the viral infection. METHODS We characterised HLA alleles and KIR genes in 52 Ecuadorian patients hospitalised for moderate and severe COVID-19 and 87 Ecuadorian controls from the general population living in the same area. RESULTS There was a significantly increased frequency of the HLA-B*39 antigen and the activating KIR2DS4 receptor in the presence of its HLA-C*04 ligand in the COVID-19 group when compared with the control group. In contrast, there was a significant reduction in the frequency of carriers of KIR2DL1 and of the KIR3DL1/Bw4 receptor/ligand combination among COVID-19 group. On the other hand, HLA-A*24:02 and HLA-DRB1*09:01 alleles showed significantly lower frequencies specifically in the severe COVID-19 group. CONCLUSION HLA-B*39 alleles might be genetic risk factors for developing COVID-19 in Ecuadorian individuals. In the presence of its ligand C*04, the natural killer-activating receptor KIR2DS4 might also increase the risk of developing COVID-19, while, in the presence of HLA-Bw4 alleles, the inhibitory receptor KIR3DL1 might play a protective role. Patients with COVID-19 who carry HLA-A*24:02 and HLA-DRB1*09:01 alleles might be protected against more severe forms of COVID-19.
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Affiliation(s)
- Antonio Balas
- Histocompatibility Unit, Centro de Transfusion de la Comunidad de Madrid, Madrid, Spain
| | | | - Fernando de la Calle-Prieto
- National Referral Unit for Imported Tropical Diseases and Travel Medicine, Infectious Diseases Department, Hospital Universitario La Paz-Carlos III, IdiPAZ, CIBERINFEC, Madrid, Spain
| | - José Luis Vicario
- Histocompatibility Unit, Centro de Transfusion de la Comunidad de Madrid, Madrid, Spain
| | - Marta Arsuaga
- National Referral Unit for Imported Tropical Diseases and Travel Medicine, Infectious Diseases Department, Hospital Universitario La Paz-Carlos III, IdiPAZ, CIBERINFEC, Madrid, Spain
| | - Elena Trigo
- National Referral Unit for Imported Tropical Diseases and Travel Medicine, Infectious Diseases Department, Hospital Universitario La Paz-Carlos III, IdiPAZ, CIBERINFEC, Madrid, Spain
| | - Rosa de Miguel-Buckley
- National Referral Unit for Imported Tropical Diseases and Travel Medicine, Infectious Diseases Department, Hospital Universitario La Paz-Carlos III, IdiPAZ, CIBERINFEC, Madrid, Spain
| | - Teresa Bellón
- Institute for Health Research Hospital Universitario La Paz (IdiPAZ), Madrid, Spain.
| | - Marta Díaz-Menéndez
- National Referral Unit for Imported Tropical Diseases and Travel Medicine, Infectious Diseases Department, Hospital Universitario La Paz-Carlos III, IdiPAZ, CIBERINFEC, Madrid, Spain
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Fujii SI, Yamasaki S, Iyoda T, Shimizu K. Association of cellular immunity with severity of COVID-19 from the perspective of antigen-specific memory T cell responses and cross-reactivity. Inflamm Regen 2022; 42:50. [PMCID: PMC9706959 DOI: 10.1186/s41232-022-00239-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/10/2022] [Indexed: 11/30/2022] Open
Abstract
AbstractCoronaviruses regularly cause outbreaks of zoonotic diseases characterized by severe pneumonia. The new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused the global pandemic disease COVID-19 that began at the end of 2019 and spread rapidly owing to its infectious nature and rapidly progressing pneumonia. Although the infectivity of SARS-CoV-2 is high, indicated by the worldwide spread of the disease in a very short period, many individuals displayed only subclinical infection, and some of them transmitted the disease to individuals who then developed a severe symptomatic infection. Furthermore, there are differences in the severity of infection across countries, which can be attributed to factors such as the emergence of viral mutations in a short period of time as well as to the immune responses to viral factors. Anti-viral immunity generally consists of neutralizing antibodies that block viral infection and cytotoxic CD8+ T cells that eliminate the virus-infected cells. There is compelling evidence for the role of neutralizing antibodies in protective immunity in SARS-CoV-2 infection. However, the role of CD4+ and CD8+ T cells after the viral entry is complex and warrants a comprehensive discussion. Here, we discuss the protection afforded by cellular immunity against initial infection and development of severe disease. The initial failure of cellular immunity to control the infection worsens the clinical outcomes and functional profiles that inflict tissue damage without effectively eliminating viral reservoirs, while robust T cell responses are associated with mild outcomes. We also discuss persistent long-lasting memory T cell-mediated protection after infection or vaccination, which is rather complicated as it may involve SARS-CoV-2-specific cytotoxic T lymphocytes or cross-reactivity with previously infected seasonal coronaviruses, which are largely related to HLA genotypes. In addition, cross-reactivity with mutant strains is also discussed. Lastly, we discuss appropriate measures to be taken against the disease for immunocompromised patients. In conclusion, we provide evidence and discuss the causal relationship between natural infection- or vaccine-mediated memory T cell immunity and severity of COVID-19. This review is expected to provide a basis to develop strategies for the next generation of T cell-focused vaccines and aid in ending the current pandemic.
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Spira B. The Impact of the Highly Virulent SARS-CoV-2 Gamma Variant on Young Adults in the State of São Paulo: Was It Inevitable? Cureus 2022; 14:e26486. [PMID: 35919213 PMCID: PMC9339207 DOI: 10.7759/cureus.26486] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2022] [Indexed: 11/21/2022] Open
Abstract
Background The coronavirus disease 2019 (COVID-19) pandemic had and is still having a tremendous impact on people all over the world, but it has been particularly harsh in South America. Nine out of 13 South American countries are among the 50 countries with the highest COVID-19 death rates. The gamma severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant that emerged by the end of 2020 in the Brazilian Amazon quickly spread throughout the country causing the harsh COVID-19 second wave. This variant displayed high viral loads, high transmissibility, and increased virulence as compared to previous variants. Aims The aim of this retrospective study is to revisit and analyse the epidemiology of the COVID-19 second wave in the state of São Paulo, the most populous Brazilian state. In addition to examining the possible factors that led to the emergence and propagation of the gamma variant, measures that could have prevented its spread and that of other highly virulent variants were also investigated. Materials and methods Data from São Paulo's official sources on morbidity, mortality, age distribution, and testing prior to and during the COVID-19 second wave (February - June 2021) and data regarding the distribution of SARS-CoV-2 variants in the country were parsed, analyzed, and compared to the period that anteceded the eruption of the second COVID-19 wave. Results In the state of São Paulo, the toll of the COVID-19 second wave surpassed that of the first 11 months of the pandemic (from March 2020 to January 2021), as 56% of the deaths occurred in the five months of the second wave between February and June 2021. The mean age of COVID-19 victims, which was already below life expectancy in the state dropped even further in the pandemic's second wave, reaching an average of 60 years of age. The years of life lost per death per month doubled and the case-fatality rate (CFR) of young adults (20-39 years old) more than trebled during this period. A number of hypotheses have been raised that might explain the emergence and spread of the gamma variant and the measures that could have been taken to prevent it and minimise its impact on the population. Conclusions Over 142,000 people died as a result of the SARS-CoV-2 gamma variant sweep in São Paulo in the first semester of 2021. Due to its high viral load, the gamma variant displayed high transmissibility and a high degree of virulence resulting in increased case fatality rates across most age tiers. Notably, this second wave was marked by a very significant increase in deaths among young adults. This increase was at least partially due to a deterioration in general health provoked by non-pharmaceutical interventions. In hindsight, a safer and more effective measure might have been to allow the free spread of the virus among the young and healthy in the first wave, thus conferring immunity against more virulent variants that emerged later on.
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HLA Allele Frequencies and Association with Severity of COVID-19 Infection in Northern Italian Patients. Cells 2022; 11:cells11111792. [PMID: 35681490 PMCID: PMC9179900 DOI: 10.3390/cells11111792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/26/2022] [Accepted: 05/27/2022] [Indexed: 12/03/2022] Open
Abstract
HLA allelic distribution was analysed in a cohort of 96 Northern Italian subjects (53M/43F) (mean age 59.9 ± 13.3 years) from Lombardy who developed COVID-19 during the first two pandemic waves to investigate possible correlations between HLA molecules and disease severity. An important role of HLA- B and HLA-C loci in modulating the clinical severity of COVID-19 disease was identified. In particular, the HLA-B07 supertype was observed to be associated with a significant risk for severe disease; conversely, the HLA-B27 supertype and C*12:02 allele played a protective role as they were associated with milder disease. These associations were confirmed after applying a multinomial regression analysis to adjust the correlation for age, gender and comorbidities with COVID-19 severity. Though the power of results is limited by the small sample size, data herein contribute to shedding light on the role played by genetic background in COVID-19 infection.
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Deng H, Yan X, Yuan L. Human genetic basis of coronavirus disease 2019. Signal Transduct Target Ther 2021; 6:344. [PMID: 34545062 PMCID: PMC8450706 DOI: 10.1038/s41392-021-00736-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 07/28/2021] [Accepted: 08/08/2021] [Indexed: 02/08/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in considerable morbidity and mortality worldwide. COVID-19 incidence, severity, and mortality rates differ greatly between populations, genders, ABO blood groups, human leukocyte antigen (HLA) genotypes, ethnic groups, and geographic backgrounds. This highly heterogeneous SARS-CoV-2 infection is multifactorial. Host genetic factors such as variants in the angiotensin-converting enzyme gene (ACE), the angiotensin-converting enzyme 2 gene (ACE2), the transmembrane protease serine 2 gene (TMPRSS2), along with HLA genotype, and ABO blood group help to explain individual susceptibility, severity, and outcomes of COVID-19. This review is focused on COVID-19 clinical and viral characteristics, pathogenesis, and genetic findings, with particular attention on genetic diversity and variants. The human genetic basis could provide scientific bases for disease prediction and targeted therapy to address the COVID-19 scourge.
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Affiliation(s)
- Hao Deng
- grid.216417.70000 0001 0379 7164Health Management Center, the Third Xiangya Hospital, Central South University, Changsha, China ,grid.216417.70000 0001 0379 7164Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China ,grid.216417.70000 0001 0379 7164Disease Genome Research Center, Central South University, Changsha, China ,grid.216417.70000 0001 0379 7164Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
| | - Xue Yan
- grid.216417.70000 0001 0379 7164Health Management Center, the Third Xiangya Hospital, Central South University, Changsha, China ,grid.216417.70000 0001 0379 7164Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China ,grid.216417.70000 0001 0379 7164Disease Genome Research Center, Central South University, Changsha, China
| | - Lamei Yuan
- grid.216417.70000 0001 0379 7164Health Management Center, the Third Xiangya Hospital, Central South University, Changsha, China ,grid.216417.70000 0001 0379 7164Center for Experimental Medicine, the Third Xiangya Hospital, Central South University, Changsha, China ,grid.216417.70000 0001 0379 7164Disease Genome Research Center, Central South University, Changsha, China ,grid.216417.70000 0001 0379 7164Department of Neurology, the Third Xiangya Hospital, Central South University, Changsha, China
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