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Pierre CN, Adams LE, Higgins JS, Anasti K, Goodman D, Mielke D, Stanfield-Oakley S, Powers JM, Li D, Rountree W, Wang Y, Edwards RJ, Alam SM, Ferrari G, Tomaras GD, Haynes BF, Baric RS, Saunders KO. Non-neutralizing SARS-CoV-2 N-terminal domain antibodies protect mice against severe disease using Fc-mediated effector functions. PLoS Pathog 2024; 20:e1011569. [PMID: 38900807 PMCID: PMC11218955 DOI: 10.1371/journal.ppat.1011569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 07/02/2024] [Accepted: 04/26/2024] [Indexed: 06/22/2024] Open
Abstract
Antibodies perform both neutralizing and non-neutralizing effector functions that protect against certain pathogen-induced diseases. A human antibody directed at the SARS-CoV-2 Spike N-terminal domain (NTD), DH1052, was recently shown to be non-neutralizing, yet it protected mice and cynomolgus macaques from severe disease. The mechanisms of NTD non-neutralizing antibody-mediated protection are unknown. Here we show that Fc effector functions mediate NTD non-neutralizing antibody (non-nAb) protection against SARS-CoV-2 MA10 viral challenge in mice. Though non-nAb prophylactic infusion did not suppress infectious viral titers in the lung as potently as neutralizing antibody (nAb) infusion, disease markers including gross lung discoloration were similar in nAb and non-nAb groups. Fc functional knockout substitutions abolished non-nAb protection and increased viral titers in the nAb group. Fc enhancement increased non-nAb protection relative to WT, supporting a positive association between Fc functionality and degree of protection from SARS-CoV-2 infection. For therapeutic administration of antibodies, non-nAb effector functions contributed to virus suppression and lessening of lung discoloration, but the presence of neutralization was required for optimal protection from disease. This study demonstrates that non-nAbs can utilize Fc-mediated mechanisms to lower viral load and prevent lung damage due to coronavirus infection.
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Affiliation(s)
- Camille N. Pierre
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Lily E. Adams
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Jaclyn S. Higgins
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Kara Anasti
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Derrick Goodman
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Dieter Mielke
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Sherry Stanfield-Oakley
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - John M. Powers
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Dapeng Li
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Wes Rountree
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Yunfei Wang
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Robert J. Edwards
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - S. Munir Alam
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Guido Ferrari
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, United States of America
| | - Georgia D. Tomaras
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, United States of America
- Department of Immunology, Duke University, Durham, North Carolina, United States of America
| | - Barton F. Haynes
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Immunology, Duke University, Durham, North Carolina, United States of America
| | - Ralph S. Baric
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Kevin O. Saunders
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, United States of America
- Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, United States of America
- Department of Immunology, Duke University, Durham, North Carolina, United States of America
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Vanderven HA, Kent SJ. Fc-mediated functions and the treatment of severe respiratory viral infections with passive immunotherapy - a balancing act. Front Immunol 2023; 14:1307398. [PMID: 38077353 PMCID: PMC10710136 DOI: 10.3389/fimmu.2023.1307398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023] Open
Abstract
Passive immunotherapies have been used to treat severe respiratory infections for over a century, with convalescent blood products from recovered individuals given to patients with influenza-related pneumonia as long ago as the Spanish flu pandemic. However, passive immunotherapy with convalescent plasma or hyperimmune intravenous immunoglobulin (hIVIG) has not provided unequivocal evidence of a clinical benefit for severe respiratory infections including influenza and COVID-19. Efficacy trials, primarily conducted in late-stage disease, have demonstrated inconsistent efficacy and clinical benefit for hIVIG treatment of severe respiratory infections. To date, most serological analyses of convalescent plasma and hIVIG trial samples have focused on the measurement of neutralizing antibody titres. There is, however, increasing evidence that baseline antibody levels and extra-neutralizing antibody functions influence the outcome of passive immunotherapy in humans. In this perspective, findings from convalescent plasma and hIVIG trials for severe influenza, COVID-19 and respiratory syncytial virus (RSV) will be described. Clinical trial results will be discussed in the context of the potential beneficial and deleterious roles of antibodies with Fc-mediated effector functions, with a focus on natural killer cells and antibody-dependent cellular cytotoxicity. Overall, we postulate that treating respiratory viral infections with hIVIG represents a delicate balance between protection and immunopathology.
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Affiliation(s)
- Hillary A. Vanderven
- Biomedical Sciences and Molecular Biology, College of Public Health, Medical and Veterinary Sciences, James Cook University, Douglas, QLD, Australia
- Australian Institute of Tropical Health and Medicine, James Cook University, Douglas, QLD, Australia
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC, Australia
| | - Stephen J. Kent
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, VIC, Australia
- Melbourne Sexual Health Centre and Department of Infectious Diseases, Alfred Health, Central Clinical School, Monash University, Carlton, VIC, Australia
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3
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Capuano C, De Federicis D, Ciuti D, Turriziani O, Angeloni A, Anastasi E, Giannini G, Belardinilli F, Molfetta R, Alvaro D, Palmieri G, Galandrini R. Impact of SARS-CoV-2 vaccination on FcγRIIIA/CD16 dynamics in Natural Killer cells: relevance for antibody-dependent functions. Front Immunol 2023; 14:1285203. [PMID: 38045702 PMCID: PMC10693335 DOI: 10.3389/fimmu.2023.1285203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 10/27/2023] [Indexed: 12/05/2023] Open
Abstract
Introduction Natural Killer (NK) cells contribute to the protective effects of vaccine-induced antibodies thanks to the low affinity receptor for IgG, FcγRIIIA/CD16, whose aggregation leads to the killing of infected cells and IFNγ release, through which they potentiate adaptive immune responses. Methods Forty-seven healthy young individuals undergoing either homologous (ChAdOx1-S/ChAdOx1-S) or heterologous (ChAdOx1-S/BNT162B2) SARS-CoV-2 vaccination settings were recruited. Peripheral blood samples were collected immediately prior to vaccination and 8 weeks after the booster dose. The phenotypic and functional profile of NK cells was evaluated by flow cytometry at both time points. Serum samples were tested to evaluate circulating anti-Spike IgG levels and cytomegalovirus serostatus. CD16 F158V polymorphism was assessed by sequencing analysis. Results The downregulation of CD16 and the selective impairment of antibody-dependent cytotoxicity and IFNγ production in CD56dim NK population, persisting 8 weeks after boosting, were observed in heterologous, but not in homologous SARS-CoV-2 vaccination scheme. While the magnitude of CD16-dependent functions of the global CD56dim pool correlated with receptor levels before and after vaccination, the responsivity of NKG2C+ subset, that displays amplified size and functionality in HCMV+ individuals, resulted intrinsically insensitive to CD16 levels. Individual CD16 responsiveness was also affected by CD16F158V polymorphism; F/F low affinity individuals, characterized by reduced CD16 levels and functions independently of vaccination, did not show post-vaccinal functional impairment with respect to intermediate and high affinity ones, despite a comparable CD16 downregulation. Further, CD16 high affinity ligation conditions by means of afucosylated mAb overcame vaccine-induced and genotype-dependent functional defects. Finally, the preservation of CD16 expression directly correlated with anti-Spike IgG titer, hinting that the individual magnitude of receptor-dependent functions may contribute to the amplification of the vaccinal response. Conclusion This study demonstrates a durable downmodulation of CD16 levels and Ab-dependent NK functions after SARS-CoV-2 heterologous vaccination, and highlights the impact of genetic and environmental host-related factors in modulating NK cell susceptibility to post-vaccinal Fc-dependent functional impairment.
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Affiliation(s)
- Cristina Capuano
- Departmental Faculty of Medicine and Surgery, UniCamillus-Saint Camillus International University of Health and Medical Sciences, Rome, Italy
| | - Davide De Federicis
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Daniel Ciuti
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | | | - Antonio Angeloni
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Emanuela Anastasi
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Giannini
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | | | - Rosa Molfetta
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Domenico Alvaro
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | - Gabriella Palmieri
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
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Fang C, Yan W, Chen Y, Dou Z, Liu T, Luo F, Chen W, Li X, Chen Y, Wu W, Yuan Z, Niu Y, Wang P, Zhu W, Luo X, Chen T, Bai X, Wang X, Ning Q. Long-term SARS-CoV-2 neutralizing antibody level prediction using multimodal deep learning: A prospective cohort study on longitudinal data in Wuhan, China. J Med Virol 2023; 95:e29036. [PMID: 37621210 DOI: 10.1002/jmv.29036] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 07/07/2023] [Accepted: 08/02/2023] [Indexed: 08/26/2023]
Abstract
The ongoing epidemic of SARS-CoV-2 is taking a substantial financial and health toll on people worldwide. Assessing the level and duration of SARS-CoV-2 neutralizing antibody (Nab) would provide key information for government to make sound healthcare policies. Assessed at 3-, 6-, 12-, and 18-month postdischarge, we described the temporal change of IgG levels in 450 individuals with moderate to critical COVID-19 infection. Moreover, a data imputation framework combined with a novel deep learning model was implemented to predict the long-term Nab and IgG levels in these patients. Demographic characteristics, inspection reports, and CT scans during hospitalization were used in this model. Interpretability of the model was further validated with Shapely Additive exPlanation (SHAP) and Gradient-weighted Class Activation Mapping (GradCAM). IgG levels peaked at 3 months and remained stable in 12 months postdischarge, followed by a significant decline in 18 months postdischarge. However, the Nab levels declined from 6 months postdischarge. By training on the cohort of 450 patients, our long-term antibody prediction (LTAP) model could predict long-term IgG levels with relatively high area under the receiver operating characteristic curve (AUC), accuracy, precision, recall, and F1-score, which far exceeds the performance achievable by commonly used models. Several prognostic factors including FDP levels, the percentages of T cells, B cells and natural killer cells, older age, sex, underlying diseases, and so forth, served as important indicators for IgG prediction. Based on these top 15 prognostic factors identified in IgG prediction, a simplified LTAP model for Nab level prediction was established and achieved an AUC of 0.828, which was 8.9% higher than MLP and 6.6% higher than LSTM. The close correlation between IgG and Nab levels making it possible to predict long-term Nab levels based on the factors selected by our LTAP model. Furthermore, our model identified that coagulation disorders and excessive immune response, which indicate disease severity, are closely related to the production of IgG and Nab. This universal model can be used as routine discharge tests to identify virus-infected individuals at risk for recurrent infection and determine the optimal timing of vaccination for general populations.
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Affiliation(s)
- Cong Fang
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China
| | - Weiming Yan
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuying Chen
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiyong Dou
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Liu
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fengning Luo
- Department of Computer Science, University of Toronto, Toronto, Canada
| | - Weiwei Chen
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xitang Li
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yajie Chen
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China
| | - Wenhui Wu
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhize Yuan
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuxin Niu
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peng Wang
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhen Zhu
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoping Luo
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tao Chen
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiang Bai
- School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaojing Wang
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Ning
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Gao ZZ, Jiao JY, Zhou YQ, Qi J, Zhu SS, Xu JY, Nie L, Wang HB. A novel monospecific tetravalent IgG1-(scFv) 2 version shown enhanced neutralizing and Fc-mediated effector functions against SARS-CoV-2. 3 Biotech 2023; 13:283. [PMID: 37501919 PMCID: PMC10368608 DOI: 10.1007/s13205-023-03702-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 07/11/2023] [Indexed: 07/29/2023] Open
Abstract
Neutralizing monoclonal antibodies (nMABs) have been proved to be effective therapeutics in treating coronavirus disease (COVID-19). To enhance the potency of nMAB 553-15, we generated a novel monospecific tetravalent IgG1-(scFv)2 version. This was achieved by covalently fusing two forms of 553-15-derived single chain variable fragments (scFv) to the C-terminus of the hIgG1 (human Immunoglobulin G1) Fc fragment. We found that the Fc-fused VL-linker-VH format achieved similar binding affinity and neutralizing behavior as 553-15. The tetravalent versions were constructed by fusing the scFv domains to the C-terminus of nMAB 553-15. As a result, the tetravalent version 55,315-VLVH exhibited significantly higher binding activity to target spike protein variants and enhanced neutralization against VOCs (variants of concern) pseudovirus compared to 553-15. We also measured the Fc effector responses of candidates using wild-type Spike-expressing CHOK1 cells. The 55,315-VLVH enhanced the function of ADCP (antibody-dependent cellular phagocytosis) but had similar IL-6 release levels compared to the bivalent 553-15. It seemed that the novel tetravalent version avoids the pro-inflammatory effect induced by macrophage activation. However, the 55,315-VLVH displayed slightly increased potency in ADCC (antibody-dependent cell-mediated cytotoxicity) and CDC (complement-dependent cytotoxicity), which might contribute to higher systemic inflammation. Further investigation is necessary to determine whether the tetravalent version is beneficial to balance efficiency and safety against COVID-19.
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Affiliation(s)
- Zhang-zhao Gao
- BioRay Biopharmaceutical Co., Ltd., Taizhou, 318000 Zhejiang China
- Hisun Biopharmaceutical Co., Ltd., Hangzhou, 311404 Zhejiang China
| | - Jing-yu Jiao
- BioRay Biopharmaceutical Co., Ltd., Taizhou, 318000 Zhejiang China
- Hisun Biopharmaceutical Co., Ltd., Hangzhou, 311404 Zhejiang China
| | - Ya-qiong Zhou
- BioRay Biopharmaceutical Co., Ltd., Taizhou, 318000 Zhejiang China
- Hisun Biopharmaceutical Co., Ltd., Hangzhou, 311404 Zhejiang China
| | - Jian Qi
- BioRay Biopharmaceutical Co., Ltd., Taizhou, 318000 Zhejiang China
- Hisun Biopharmaceutical Co., Ltd., Hangzhou, 311404 Zhejiang China
| | - Shan-shan Zhu
- BioRay Biopharmaceutical Co., Ltd., Taizhou, 318000 Zhejiang China
- Hisun Biopharmaceutical Co., Ltd., Hangzhou, 311404 Zhejiang China
| | - Jing-ya Xu
- BioRay Biopharmaceutical Co., Ltd., Taizhou, 318000 Zhejiang China
- Hisun Biopharmaceutical Co., Ltd., Hangzhou, 311404 Zhejiang China
| | - Lei Nie
- BioRay Biopharmaceutical Co., Ltd., Taizhou, 318000 Zhejiang China
- Hisun Biopharmaceutical Co., Ltd., Hangzhou, 311404 Zhejiang China
| | - Hai-bin Wang
- BioRay Biopharmaceutical Co., Ltd., Taizhou, 318000 Zhejiang China
- Hisun Biopharmaceutical Co., Ltd., Hangzhou, 311404 Zhejiang China
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6
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Pierre CN, Adams LE, Anasti K, Goodman D, Stanfield-Oakley S, Powers JM, Li D, Rountree W, Wang Y, Edwards RJ, Munir Alam S, Ferrari G, Tomaras GD, Haynes BF, Baric RS, Saunders KO. Non-neutralizing SARS-CoV-2 N-terminal domain antibodies protect mice against severe disease using Fc-mediated effector functions. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.25.550460. [PMID: 37546738 PMCID: PMC10402036 DOI: 10.1101/2023.07.25.550460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Antibodies perform both neutralizing and non-neutralizing effector functions that protect against certain pathogen-induced diseases. A human antibody directed at the SARS-CoV-2 Spike N-terminal domain (NTD), DH1052, was recently shown to be non-neutralizing yet it protected mice and cynomolgus macaques from severe disease. The mechanisms of this non-neutralizing antibody-mediated protection are unknown. Here we show that Fc effector functions mediate non-neutralizing antibody (non-nAb) protection against SARS-CoV-2 MA10 viral challenge in mice. Though non-nAb infusion did not suppress infectious viral titers in the lung as potently as NTD neutralizing antibody (nAb) infusion, disease markers including gross lung discoloration were similar in nAb and non-nAb groups. Fc functional knockout substitutions abolished non-nAb protection and increased viral titers in the nAb group. Finally, Fc enhancement increased non-nAb protection relative to WT, supporting a positive association between Fc functionality and degree of protection in SARS-CoV-2 infection. This study demonstrates that non-nAbs can utilize Fc-mediated mechanisms to lower viral load and prevent lung damage due to coronavirus infection.
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Affiliation(s)
- Camille N Pierre
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Duke University School of Medicine, Durham, NC USA
| | - Lily E Adams
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Kara Anasti
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Derrick Goodman
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
| | | | - John M Powers
- Department of Immunology, Duke University, Durham, NC USA
| | - Dapeng Li
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
| | - Wes Rountree
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Department of Medicine, Duke University School of Medicine, Durham, NC USA
| | - Yunfei Wang
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Department of Medicine, Duke University School of Medicine, Durham, NC USA
| | - Robert J Edwards
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Department of Medicine, Duke University School of Medicine, Durham, NC USA
| | - S Munir Alam
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Department of Medicine, Duke University School of Medicine, Durham, NC USA
| | - Guido Ferrari
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Department of Surgery, Duke University School of Medicine, Durham, NC USA
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC USA
| | - Georgia D Tomaras
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Department of Surgery, Duke University School of Medicine, Durham, NC USA
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC USA
- Department of Immunology, Duke University, Durham, NC USA
| | - Barton F Haynes
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Duke University School of Medicine, Durham, NC USA
- Department of Immunology, Duke University, Durham, NC USA
| | - Ralph S Baric
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Kevin O Saunders
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC USA
- Department of Surgery, Duke University School of Medicine, Durham, NC USA
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC USA
- Department of Immunology, Duke University, Durham, NC USA
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7
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Yazdanparast S, Bakhtiyaridovvombaygi M, Mikanik F, Ahmadi R, Ghorbani M, Mansoorian MR, Mansoorian M, Chegni H, Moshari J, Gharehbaghian A. Spotlight on contributory role of host immunogenetic profiling in SARS-CoV-2 infection: Susceptibility, severity, mortality, and vaccine effectiveness. Life Sci 2023:121907. [PMID: 37394094 DOI: 10.1016/j.lfs.2023.121907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 06/29/2023] [Accepted: 06/29/2023] [Indexed: 07/04/2023]
Abstract
BACKGROUND The SARS-CoV-2 virus has spread continuously worldwide, characterized by various clinical symptoms. The immune system responds to SARS-CoV-2 infection by producing Abs and secreting cytokines. Recently, numerous studies have highlighted that immunogenetic factors perform a putative role in COVID-19 pathogenesis and implicate vaccination effectiveness. AIM This review summarizes the relevant articles and evaluates the significance of mutation and polymorphism in immune-related genes regarding susceptibility, severity, mortality, and vaccination effectiveness of COVID-19. Furthermore, the correlation between host immunogenetic and SARS-CoV-2 reinfection is discussed. METHOD A comprehensive search was conducted to identify relevant articles using five databases until January 2023, which resulted in 105 total articles. KEY FINDINGS Taken to gather this review summarized that: (a) there is a plausible correlation between immune-related genes and COVID-19 outcomes, (b) the HLAs, cytokines, chemokines, and other immune-related genes expression profiles can be a prognostic factor in COVID-19-infected patients, and (c) polymorphisms in immune-related genes have been associated with the effectiveness of vaccination. SIGNIFICANCE Regarding the importance of mutation and polymorphisms in immune-related genes in COVID-19 outcomes, modulating candidate genes is expected to help clinical decisions, patient outcomes management, and innovative therapeutic approach development. In addition, the manipulation of host immunogenetics is hypothesized to induce more robust cellular and humoral immune responses, effectively increase the efficacy of vaccines, and subsequently reduce the incidence rates of reinfection-associated COVID-19.
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Affiliation(s)
- Somayeh Yazdanparast
- Student Research Committee, Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Bakhtiyaridovvombaygi
- Student Research Committee, Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Mikanik
- Student Research Committee, Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Reza Ahmadi
- Department of Infectious Diseases, School of Medicine, Infectious Diseases Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Mohammad Ghorbani
- Laboratory Hematology and Transfusion Medicine, Department of Pathology, Faculty Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.
| | | | - Mozhgan Mansoorian
- Nursing Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Hamid Chegni
- Department of Immunology, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jalil Moshari
- School of Medicine, Gonabad University of Medical Science, Gonabad, Iran
| | - Ahmad Gharehbaghian
- Department of Hematology and Blood Bank, School of Allied Medical Science, Shahid Beheshti University of Medical Science, Tehran, Iran; Pediatric Congenital Hematologic Disorders Research Center, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Cai H, Zhang H, Cheng H, Liu M, Wen S, Ren J. Progress in PRRSV Infection and Adaptive Immune Response Mechanisms. Viruses 2023; 15:1442. [PMID: 37515130 PMCID: PMC10385784 DOI: 10.3390/v15071442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 06/21/2023] [Accepted: 06/25/2023] [Indexed: 07/30/2023] Open
Abstract
Since its discovery, Porcine reproductive and respiratory syndrome (PRRS) has had a huge impact on the farming industry. The virus that causes PRRS is Porcine Reproductive and Respiratory Syndrome Virus (PRRSV), and because of its genetic diversity and the complexity of the immune response, the eradication of PRRS has been a challenge. To provide scientific references for PRRSV control and vaccine development, this study describes the processes of PRRSV-induced infection and escape, as well as the host adaptive immune response to PRRSV. It also discusses the relationship between PRRSV and the adaptive immune response.
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Affiliation(s)
- Huanchang Cai
- Wenzhou Key Laboratory for Virology and Immunology, Institute of Virology, Wenzhou University, Wenzhou 325035, China
| | - Hewei Zhang
- College of Food and Drugs, Luoyang Polytechnic, Luoyang 471099, China
- Animal Diseases and Public Health Engineering Research Center of Henan Province, Luoyang 471000, China
| | - Huai Cheng
- Wenzhou Key Laboratory for Virology and Immunology, Institute of Virology, Wenzhou University, Wenzhou 325035, China
| | - Min Liu
- Wenzhou Key Laboratory for Virology and Immunology, Institute of Virology, Wenzhou University, Wenzhou 325035, China
| | - Shubo Wen
- Preventive Veterinary Laboratory, College of Animal Science and Technology, Inner Mongolia Minzu University, Tongliao 028000, China
| | - Jingqiang Ren
- Wenzhou Key Laboratory for Virology and Immunology, Institute of Virology, Wenzhou University, Wenzhou 325035, China
- Animal Diseases and Public Health Engineering Research Center of Henan Province, Luoyang 471000, China
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Peng H, Xiang T, Xu F, Jiang Y, Zhong L, Peng Y, Le A, Zhang W, Liu Y. Redistribution and Activation of CD16brightCD56dim NK Cell Subset to Fight against Omicron Subvariant BA.2 after COVID-19 Vaccination. Microorganisms 2023; 11:microorganisms11040940. [PMID: 37110363 PMCID: PMC10145754 DOI: 10.3390/microorganisms11040940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 04/07/2023] Open
Abstract
With the alarming surge in COVID-19 cases globally, vaccination must be prioritised to achieve herd immunity. Immune dysfunction is detected in the majority of patients with COVID-19; however, it remains unclear whether the immune responses elicited by COVID-19 vaccination function against the Omicron subvariant BA.2. Of the 508 enrolled patients infected with Omicron BA.2, 102 were unvaccinated controls, and 406 were vaccinated. Despite the presence of clinical symptoms in both groups, vaccination led to a significant decline in nausea or vomiting, abdominal pain, headache, pulmonary infection, and overall clinical symptoms and a moderate rise in body temperature. The individuals infected with Omicron BA.2 were also characterised by a mild increase in both serum pro- and anti-inflammatory cytokine levels after vaccination. There were no significant differences or trend changes between T- and B-lymphocyte subsets; however, a significant expansion of NK lymphocytes in COVID-19-vaccinated patients was observed. Moreover, the most effective CD16brightCD56dim subsets of NK cells showed increased functional capacities, as evidenced by a significantly greater IFN-γ secretion and a stronger cytotoxic potential in the patients infected with Omicron BA.2 after vaccination. Collectively, these results suggest that COVID-19 vaccination interventions promote the redistribution and activation of CD16brightCD56dim NK cell subsets against viral infections and that they could facilitate the clinical management of patients infected with Omicron BA.2.
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Affiliation(s)
- Huiyun Peng
- Departments of Clinical Laboratory, Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
- National Regional Center for Respiratory Medicine, China-Japan Friendship Hospital Jiangxi Hospital, Nanchang 330200, China
| | - Tianxin Xiang
- National Regional Center for Respiratory Medicine, China-Japan Friendship Hospital Jiangxi Hospital, Nanchang 330200, China
- Department of Hospital Infection Control, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Fei Xu
- National Regional Center for Respiratory Medicine, China-Japan Friendship Hospital Jiangxi Hospital, Nanchang 330200, China
- Department of Respiratory Medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Yuhuan Jiang
- Departments of Clinical Laboratory, Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Lipeng Zhong
- Departments of Clinical Laboratory, Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Yanqi Peng
- Departments of Clinical Laboratory, Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Aiping Le
- Department of Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Wei Zhang
- National Regional Center for Respiratory Medicine, China-Japan Friendship Hospital Jiangxi Hospital, Nanchang 330200, China
- Department of Respiratory Medicine, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Yang Liu
- Departments of Clinical Laboratory, Medical Center of Burn Plastic and Wound Repair, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
- National Regional Center for Respiratory Medicine, China-Japan Friendship Hospital Jiangxi Hospital, Nanchang 330200, China
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Coordinated Loss and Acquisition of NK Cell Surface Markers Accompanied by Generalized Cytokine Dysregulation in COVID-19. Int J Mol Sci 2023; 24:ijms24031996. [PMID: 36768315 PMCID: PMC9917026 DOI: 10.3390/ijms24031996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/15/2023] [Accepted: 01/17/2023] [Indexed: 01/20/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, is accompanied by a dysregulated immune response. In particular, NK cells, involved in the antiviral response, are affected by the infection. This study aimed to investigate circulating NK cells with a focus on their activation, depletion, changes in the surface expression of key receptors, and functional activity during COVID-19, among intensive care unit (ICU) patients, moderately ill patients, and convalescents (CCP). Our data confirmed that NK cell activation in patients with COVID-19 is accompanied by changes in circulating cytokines. The progression of COVID-19 was associated with a coordinated decrease in the proportion of NKG2D+ and CD16+ NK cells, and an increase in PD-1, which indicated their exhaustion. A higher content of NKG2D+ NK cells distinguished surviving patients from non-survivors in the ICU group. NK cell exhaustion in ICU patients was additionally confirmed by a strong negative correlation of PD-1 and natural cytotoxicity levels. In moderately ill patients and convalescents, correlations were found between the levels of CD57, NKG2C, and NKp30, which may indicate the formation of adaptive NK cells. A reduced NKp30 level was observed in patients with a lethal outcome. Altogether, the phenotypic changes in circulating NK cells of COVID-19 patients suggest that the intense activation of NK cells during SARS-CoV-2 infection, most likely induced by cytokines, is accompanied by NK cell exhaustion, the extent of which may be critical for the disease outcome.
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Vietzen H, Furlano PL, Traugott M, Totschnig D, Hoepler W, Strassl R, Zoufaly A, Puchhammer‐Stöckl E. The natural killer cell-associated rs9916629-C allele is a novel genetic risk factor for fatal COVID-19. J Med Virol 2023; 95:e28404. [PMID: 36515427 PMCID: PMC9878105 DOI: 10.1002/jmv.28404] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 11/09/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022]
Abstract
The severity of COVID-19 is associated with individual genetic host factors. Among these, genetic polymorphisms affecting natural killer (NK) cell responses, as variations in the HLA-E- (HLA-E*0101/0103), FcγRIIIa- (FcγRIIIa-158-F/V), and NKG2C- (KLRC2wt/del ) receptor, were associated with severe COVID-19. Recently, the rs9916629-C/T genetic polymorphism was identified that indirectly shape the human NK cell repertoire towards highly pro-inflammatory CD56bright NK cells. We investigated whether the rs9916629-C/T variants alone and in comparison to the other risk factors are associated with a fatal course of COVID-19. We included 1042 hospitalized surviving and 159 nonsurviving COVID-19 patients as well as 1000 healthy controls. rs9916629-C/T variants were genotyped by TaqMan assays and were compared between the groups. The patients' age, comorbidities, HLA-E*0101/0103, FcγRIIIa-158-F/V, and KLRC2wt/del variants were also determined. The presence of the rs9916629-C allele was a risk factor for severe and fatal COVID-19 (p < 0.0001), independent of the patients' age or comorbidities. Fatal COVID-19 was more frequent in younger patients (<69.85 years) carrying the FcγRIIIa-158-V/V (p < 0.006) and in older patients expressing the KLRC2del variant (p < 0.003). Thus, patients with the rs9916629-C allele have a significantly increased risk for fatal COVID-19 and identification of the genetic variants may be used as prognostic marker for hospitalized COVID-19 patients.
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Affiliation(s)
- Hannes Vietzen
- Center for VirologyMedical University of ViennaViennaAustria
| | | | | | | | | | - Robert Strassl
- Division of Clinical VirologyMedical University of ViennaViennaAustria
| | - Alexander Zoufaly
- Department of Medicine IVClinic FavoritenViennaAustria,Faculty of MedicineSigmund Freud UniversityViennaAustria
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Yang K, Liu J, Gong Y, Li Y, Liu Q. Bioinformatics and systems biology approaches to identify molecular targeting mechanism influenced by COVID-19 on heart failure. Front Immunol 2022; 13:1052850. [DOI: 10.3389/fimmu.2022.1052850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 10/25/2022] [Indexed: 11/09/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a contemporary hazard to people. It has been known that COVID-19 can both induce heart failure (HF) and raise the risk of patient mortality. However, the mechanism underlying the association between COVID-19 and HF remains unclear. The common molecular pathways between COVID-19 and HF were identified using bioinformatic and systems biology techniques. Transcriptome analysis was performed to identify differentially expressed genes (DEGs). To identify gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways, common DEGs were used for enrichment analysis. The results showed that COVID-19 and HF have several common immune mechanisms, including differentiation of T helper (Th) 1, Th 2, Th 17 cells; activation of lymphocytes; and binding of major histocompatibility complex class I and II protein complexes. Furthermore, a protein-protein interaction network was constructed to identify hub genes, and immune cell infiltration analysis was performed. Six hub genes (FCGR3A, CD69, IFNG, CCR7, CCL5, and CCL4) were closely associated with COVID-19 and HF. These targets were associated with immune cells (central memory CD8 T cells, T follicular helper cells, regulatory T cells, myeloid-derived suppressor cells, plasmacytoid dendritic cells, macrophages, eosinophils, and neutrophils). Additionally, transcription factors, microRNAs, drugs, and chemicals that are closely associated with COVID-19 and HF were identified through the interaction network.
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