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Wang Q, Su Z, Zhang J, Yan H, Zhang J. Unraveling the copper-death connection: Decoding COVID-19's immune landscape through advanced bioinformatics and machine learning approaches. Hum Vaccin Immunother 2024; 20:2310359. [PMID: 38468184 PMCID: PMC10936617 DOI: 10.1080/21645515.2024.2310359] [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: 09/01/2023] [Accepted: 01/23/2024] [Indexed: 03/13/2024] Open
Abstract
This study aims to analyze Coronavirus Disease 2019 (COVID-19)-associated copper-death genes using the Gene Expression Omnibus (GEO) dataset and machine learning, exploring their immune microenvironment correlation and underlying mechanisms. Utilizing GEO, we analyzed the GSE217948 dataset with control samples. Differential expression analysis identified 16 differentially expressed copper-death genes, and Cell type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) quantified immune cell infiltration. Gene classification yielded two copper-death clusters, with Weighted Gene Co-expression Network Analysis (WGCNA) identifying key module genes. Machine learning models (random forest, Support Vector Machine (SVM), Generalized Linear Model (GLM), eXtreme Gradient Boosting (XGBoost)) selected 6 feature genes validated by the GSE213313 dataset. Ferredoxin 1 (FDX1) emerged as the top gene, corroborated by Area Under the Curve (AUC) analysis. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) revealed enriched pathways in T cell receptor, natural killer cytotoxicity, and Peroxisome Proliferator-Activated Receptor (PPAR). We uncovered differentially expressed copper-death genes and immune infiltration differences, notably CD8 T cells and M0 macrophages. Clustering identified modules with potential implications for COVID-19. Machine learning models effectively predicted COVID-19 risk, with FDX1's pivotal role validated. FDX1's high expression was associated with immune pathways, suggesting its role in COVID-19 pathogenesis. This comprehensive approach elucidated COVID-19-related copper-death genes, their immune context, and risk prediction potential. FDX1's connection to immune pathways offers insights into COVID-19 mechanisms and therapy.
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Affiliation(s)
- Qi Wang
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Zhenzhong Su
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Jing Zhang
- Department of General Gynecology, The First Hospital of Jilin University, Changchun, Jilin, China
| | - He Yan
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, Jilin, China
| | - Jie Zhang
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, Jilin, China
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2
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Yan Q, Zhang Y, Hou R, Pan W, Liang H, Gao X, Deng W, Huang X, Qu L, Tang C, He P, Liu B, Wang Q, Zhao X, Lin Z, Chen Z, Li P, Han J, Xiong X, Zhao J, Li S, Niu X, Chen L. Deep immunoglobulin repertoire sequencing depicts a comprehensive atlas of spike-specific antibody lineages shared among COVID-19 convalescents. Emerg Microbes Infect 2024; 13:2290841. [PMID: 38044868 PMCID: PMC10810631 DOI: 10.1080/22221751.2023.2290841] [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: 09/07/2023] [Accepted: 11/29/2023] [Indexed: 12/05/2023]
Abstract
Neutralizing antibodies are a key component in protective humoral immunity against SARS-CoV-2. Currently, available technologies cannot track epitope-specific antibodies in global antibody repertoires. Thus, the comprehensive repertoire of spike-specific neutralizing antibodies elicited by SARS-CoV-2 infection is not fully understood. We therefore combined high-throughput immunoglobulin heavy chain (IgH) repertoire sequencing, and structural and bioinformatics analysis to establish an antibodyomics pipeline, which enables tracking spike-specific antibody lineages that target certain neutralizing epitopes. We mapped the neutralizing epitopes on the spike and determined the epitope-preferential antibody lineages. This analysis also revealed numerous overlaps between immunodominant neutralizing antibody-binding sites and mutation hotspots on spikes as observed so far in SARS-CoV-2 variants. By clustering 2677 spike-specific antibodies with 360 million IgH sequences that we sequenced, a total of 329 shared spike-specific antibody clonotypes were identified from 33 COVID-19 convalescents and 24 SARS-CoV-2-naïve individuals. Epitope mapping showed that the shared antibody responses target not only neutralizing epitopes on RBD and NTD but also non-neutralizing epitopes on S2. The immunodominance of neutralizing antibody response is determined by the occurrence of specific precursors in human naïve B-cell repertoires. We identified that only 28 out of the 329 shared spike-specific antibody clonotypes persisted for at least 12 months. Among them, long-lived IGHV3-53 antibodies are likely to evolve cross-reactivity to Omicron variants through accumulating somatic hypermutations. Altogether, we created a comprehensive atlas of spike-targeting antibody lineages in COVID-19 convalescents and antibody precursors in human naïve B cell repertoires, providing a valuable reference for future vaccine design and evaluation.
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Affiliation(s)
- Qihong Yan
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Yudi Zhang
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- University of Chinese Academy of Science, Beijing, People’s Republic of China
| | - Ruitian Hou
- Guangzhou Institute of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Wenjing Pan
- Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
- Nanjing ARP Biotechnology Co., Ltd, Nanjing, People’s Republic of China
| | - Huan Liang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Xijie Gao
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Weiqi Deng
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- University of Chinese Academy of Science, Beijing, People’s Republic of China
| | - Xiaohan Huang
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Linbing Qu
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Congli Tang
- Nanjing ARP Biotechnology Co., Ltd, Nanjing, People’s Republic of China
| | - Ping He
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Banghui Liu
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Qian Wang
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Xinwei Zhao
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Zihan Lin
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- University of Chinese Academy of Science, Beijing, People’s Republic of China
| | - Zhaoming Chen
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Pingchao Li
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Jian Han
- iRepertoire Inc., Huntsville, AL, USA
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Song Li
- Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Xuefeng Niu
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Ling Chen
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- Guangzhou Institute of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
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3
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Cheng Y, Peng Y, Cao LM, Huang XF, He LY. Identifying the geospatial relationship of surface ozone pollution in China: Implications for key pollution control regions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 930:172763. [PMID: 38670373 DOI: 10.1016/j.scitotenv.2024.172763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 04/28/2024]
Abstract
Surface ozone pollution, as a pressing environmental concern, has garnered widespread attention across China. Due to air mass transport, effective control of ozone pollution is highly dependent on collaborative efforts across neighboring regions. However, specific regions with strong internal interactions of ozone pollution are not yet well identified. Here, we introduced the Geospatial SHapley Additive exPlanation (GeoSHAP) approach, which primarily involves machine learning and geostatistical algorithms. Based on extensive atmospheric environmental monitoring data from 2017 to 2021, machine learning models were employed to train and predict ozone concentrations at the target location. The R2 values on the test sets of different scale regions all reached 0.98 in the overall condition, indicating that the core model has good accuracy and generalization ability. The results highlight key regions with high ozone geospatial relationship (OGR) index, predominantly located in the Northern District (ND), spanning the Fen-Wei Plain, the Loess Plateau, and the North China Plain, as well as within portions of the Yangtze River Delta (YRD) and the Pearl River Delta (PRD). Further investigation indicated that high geospatial relationships stem from a synergy between anthropogenic and natural factors, with anthropogenic factors serving as a pivotal element. This study revealed key regions with the most urgent need for joint control of anthropogenic sources to mitigate ozone pollution.
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Affiliation(s)
- Yong Cheng
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Yan Peng
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Li-Ming Cao
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Xiao-Feng Huang
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
| | - Ling-Yan He
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
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Abril AG, Alejandre J, Mariscal A, Alserawan L, Rabella N, Roman E, Lopez-Contreras J, Navarro F, Serrano E, Nomdedeu JM, Vidal S. Titers of IgG and IgA against SARS-CoV-2 proteins and their association with symptoms in mild COVID-19 infection. Sci Rep 2024; 14:12725. [PMID: 38830902 PMCID: PMC11148197 DOI: 10.1038/s41598-024-59634-y] [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: 09/21/2022] [Accepted: 04/12/2024] [Indexed: 06/05/2024] Open
Abstract
Humoral immunity in COVID-19 includes antibodies (Abs) targeting spike (S) and nucleocapsid (N) SARS-CoV-2 proteins. Antibody levels are known to correlate with disease severity, but titers are poorly reported in mild or asymptomatic cases. Here, we analyzed the titers of IgA and IgG against SARS-CoV-2 proteins in samples from 200 unvaccinated Hospital Workers (HWs) with mild COVID-19 at two time points after infection. We analyzed the relationship between Ab titers and patient characteristics, clinical features, and evolution over time. Significant differences in IgG and IgA titers against N, S1 and S2 proteins were found when samples were segregated according to time T1 after infection, seroprevalence at T1, sex and age of HWs and symptoms at infection. We found that IgM + samples had higher titers of IgG against N antigen and IgA against S1 and S2 antigens than IgM - samples. There were significant correlations between anti-S1 and S2 Abs. Interestingly, IgM + patients with dyspnea had lower titers of IgG and IgA against N, S1 and S2 than those without dyspnea. Comparing T1 and T2, we found that IgA against N, S1 and S2 but only IgG against certain Ag decreased significantly. In conclusion, an association was established between Ab titers and the development of infection symptoms.
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Affiliation(s)
- Andrés G Abril
- Departament Biologia Cel·lular, Facultat de Medicina, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193, Bellaterra, Spain
- Althaia Xarxa Assistencial Universitària de Manresa, 08243, Manresa, Spain
- Institut de Recerca i Innovació en Ciències de la Vida i de la Salut a la Catalunya Central (IRIS-CC), 08500, Vic, Spain
| | - Jose Alejandre
- Grup de Malalties Inflamatòries, IIB-Sant Pau, Institut Recerca Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Anais Mariscal
- Servei d'Immunologia, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Leticia Alserawan
- Servei d'Immunologia, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Nuria Rabella
- Servei de Microbiologia, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Eva Roman
- Servei de Patologia Digestiva, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Joaquin Lopez-Contreras
- Servei de Malalties Infeccioses, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Ferran Navarro
- Servei de Microbiologia, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | | | - Josep M Nomdedeu
- Servei d'Hematologia, Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain
| | - Silvia Vidal
- Departament Biologia Cel·lular, Facultat de Medicina, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193, Bellaterra, Spain.
- Grup de Malalties Inflamatòries, IIB-Sant Pau, Institut Recerca Hospital de la Santa Creu i Sant Pau, 08041, Barcelona, Spain.
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Xie H, Deng YM, Li JY, Xie KH, Tao T, Zhang JF. Predicting the risk of primary Sjögren's syndrome with key N7-methylguanosine-related genes: A novel XGBoost model. Heliyon 2024; 10:e31307. [PMID: 38803884 PMCID: PMC11128997 DOI: 10.1016/j.heliyon.2024.e31307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 05/10/2024] [Accepted: 05/14/2024] [Indexed: 05/29/2024] Open
Abstract
Objectives N7-methylguanosine (m7G) plays a crucial role in mRNA metabolism and other biological processes. However, its regulators' function in Primary Sjögren's Syndrome (PSS) remains enigmatic. Methods We screened five key m7G-related genes across multiple datasets, leveraging statistical and machine learning computations. Based on these genes, we developed a prediction model employing the extreme gradient boosting decision tree (XGBoost) method to assess PSS risk. Immune infiltration in PSS samples was analyzed using the ssGSEA method, revealing the immune landscape of PSS patients. Results The XGBoost model exhibited high accuracy, AUC, sensitivity, and specificity in both training, test sets and extra-test set. The decision curve confirmed its clinical utility. Our findings suggest that m7G methylation might contribute to PSS pathogenesis through immune modulation. Conclusions m7G regulators play an important role in the development of PSS. Our study of m7G-realted genes may inform future immunotherapy strategies for PSS.
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Affiliation(s)
- Hui Xie
- Department of Radiotherapy, Affiliated Hospital (Clinical College) of Xiangnan University, Chenzhou, 423000, PR China
- Faulty of Applied Sciences, Macao Polytechnic University, Macao, 999078, PR China
| | - Yin-mei Deng
- Department of Nursing, Affiliated Hospital (Clinical College) of Xiangnan University, Chenzhou, 423000, PR China
| | - Jiao-yan Li
- Department of Rheumatology and Clinical Immunology, The First Hospital of Changsha, 410005, Changsha, PR China
| | - Kai-hong Xie
- Department of Oncology, Affiliated Hospital (Clinical College) of Xiangnan University, Chenzhou, 423000, PR China
| | - Tan Tao
- Faulty of Applied Sciences, Macao Polytechnic University, Macao, 999078, PR China
| | - Jian-fang Zhang
- Department of Physical Examination, Center for Disease Control and Prevention of Beihu District, Chenzhou, 423000, PR China
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Vránová L, Poláková I, Vaníková Š, Saláková M, Musil J, Vaníčková M, Vencálek O, Holub M, Bohoněk M, Řezáč D, Dresler J, Tachezy R, Šmahel M. Multiparametric analysis of the specific immune response against SARS-CoV-2. Infect Dis (Lond) 2024:1-19. [PMID: 38805304 DOI: 10.1080/23744235.2024.2358379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 05/17/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND SARS-CoV-2, which causes COVID-19, has killed more than 7 million people worldwide. Understanding the development of postinfectious and postvaccination immune responses is necessary for effective treatment and the introduction of appropriate antipandemic measures. OBJECTIVES We analysed humoral and cell-mediated anti-SARS-CoV-2 immune responses to spike (S), nucleocapsid (N), membrane (M), and open reading frame (O) proteins in individuals collected up to 1.5 years after COVID-19 onset and evaluated immune memory. METHODS Peripheral blood mononuclear cells and serum were collected from patients after COVID-19. Sampling was performed in two rounds: 3-6 months after infection and after another year. Most of the patients were vaccinated between samplings. SARS-CoV-2-seronegative donors served as controls. ELISpot assays were used to detect SARS-CoV-2-specific T and B cells using peptide pools (S, NMO) or recombinant proteins (rS, rN), respectively. A CEF peptide pool consisting of selected viral epitopes was applied to assess the antiviral T-cell response. SARS-CoV-2-specific antibodies were detected via ELISA and a surrogate virus neutralisation assay. RESULTS We confirmed that SARS-CoV-2 infection induces the establishment of long-term memory IgG+ B cells and memory T cells. We also found that vaccination enhanced the levels of anti-S memory B and T cells. Multivariate comparison also revealed the benefit of repeated vaccination. Interestingly, the T-cell response to CEF was lower in patients than in controls. CONCLUSION This study supports the importance of repeated vaccination for enhancing immunity and suggests a possible long-term perturbation of the overall antiviral immune response caused by SARS-CoV-2 infection.
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Affiliation(s)
- Lucie Vránová
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Ingrid Poláková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Šárka Vaníková
- Department of Immunomonitoring and Flow Cytometry, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Martina Saláková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Jan Musil
- Department of Immunomonitoring and Flow Cytometry, Institute of Hematology and Blood Transfusion, Prague, Czech Republic
| | - Marie Vaníčková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Ondřej Vencálek
- Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacky University in Olomouc, Olomouc, Czech Republic
| | - Michal Holub
- Department of Infectious Diseases, First Faculty of Medicine, Military University Hospital Prague and Charles University, Prague, Czech Republic
| | - Miloš Bohoněk
- Department of Hematology and Blood Transfusion, Military University Hospital Prague, Prague, Czech Republic
- Faculty of Biomedical Engineering, Czech Technical University, Prague, Czech Republic
| | - David Řezáč
- Department of Infectious Diseases, First Faculty of Medicine, Military University Hospital Prague and Charles University, Prague, Czech Republic
| | - Jiří Dresler
- Military Health Institute, Military Medical Agency, Prague, Czech Republic
| | - Ruth Tachezy
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
| | - Michal Šmahel
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, Vestec, Czech Republic
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Adami FL, de Castro MV, Almeida BDS, Daher IP, Yamamoto MM, Souza Santos K, Zatz M, Naslavsky MS, Rosa DS, Cunha-Neto E, de Oliveira VL, Kalil J, Boscardin SB. Anti-RBD IgG antibodies from endemic coronaviruses do not protect against the acquisition of SARS-CoV-2 infection among exposed uninfected individuals. Front Immunol 2024; 15:1396603. [PMID: 38846944 PMCID: PMC11153698 DOI: 10.3389/fimmu.2024.1396603] [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: 03/06/2024] [Accepted: 05/07/2024] [Indexed: 06/09/2024] Open
Abstract
Background The Coronaviridae family comprises seven viruses known to infect humans, classified into alphacoronaviruses (HCoV-229E and HCoV-NL63) and betacoronaviruses (HCoV-OC43 and HCoV-HKU1), which are considered endemic. Additionally, it includes SARS-CoV (severe acute respiratory syndrome), MERS-CoV (Middle East respiratory syndrome), and the novel coronavirus SARS-CoV-2, responsible for COVID-19. SARS-CoV-2 induces severe respiratory complications, particularly in the elderly, immunocompromised individuals and those with underlying diseases. An essential question since the onset of the COVID-19 pandemic has been to determine whether prior exposure to seasonal coronaviruses influences immunity or protection against SARS-CoV-2. Methods In this study, we investigated a cohort of 47 couples (N=94), where one partner tested positive for SARS-CoV-2 infection via real-time PCR while the other remained negative. Plasma samples, collected at least 30 days post-PCR reaction, were assessed using indirect ELISA and competition assays to measure specific antibodies against the receptor-binding domain (RBD) portion of the Spike (S) protein from SARS-CoV-2, HCoV-229E, HCoV-NL63, HCoV-OC43, and HCoV-HKU1. Results IgG antibody levels against the four endemic coronavirus RBD proteins were similar between the PCR-positive and PCR-negative individuals, suggesting that IgG against endemic coronavirus RBD regions was not associated with protection from infection. Moreover, we found no significant IgG antibody cross-reactivity between endemic coronaviruses and SARS-CoV-2 RBDs. Conclusions Taken together, results suggest that anti-RBD antibodies induced by a previous infection with endemic HCoVs do not protect against acquisition of COVID-19 among exposed uninfected individuals.
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Affiliation(s)
- Flávia Lopes Adami
- Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
| | - Mateus Vidigal de Castro
- Centro de Estudos do Genoma Humano e Células Tronco, Universidade de São Paulo, São Paulo, Brazil
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil
| | - Bianca da Silva Almeida
- Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
| | - Isabela Pazotti Daher
- Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
- Laboratório de Imunologia, LIM19, Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, Brazil
| | - Márcio Massao Yamamoto
- Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
| | - Keity Souza Santos
- Laboratório de Imunologia, LIM19, Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, Brazil
- Departamento de Clínica Médica, Disciplina de Alergia e Imunologia Clínica, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil
- Instituto de Investigação em Imunologia-Instituto Nacional de Ciências e Tecnologia (iii-INCT), São Paulo, Brazil
| | - Mayana Zatz
- Centro de Estudos do Genoma Humano e Células Tronco, Universidade de São Paulo, São Paulo, Brazil
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil
| | - Michel Satya Naslavsky
- Centro de Estudos do Genoma Humano e Células Tronco, Universidade de São Paulo, São Paulo, Brazil
- Departamento de Genética e Biologia Evolutiva, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil
| | - Daniela Santoro Rosa
- Instituto de Investigação em Imunologia-Instituto Nacional de Ciências e Tecnologia (iii-INCT), São Paulo, Brazil
- Departamento de Microbiologia, Imunologia e Parasitologia, Disciplina de Imunologia, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Edecio Cunha-Neto
- Laboratório de Imunologia, LIM19, Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, Brazil
- Departamento de Clínica Médica, Disciplina de Alergia e Imunologia Clínica, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil
- Instituto de Investigação em Imunologia-Instituto Nacional de Ciências e Tecnologia (iii-INCT), São Paulo, Brazil
| | - Vivian Leite de Oliveira
- Laboratório de Imunologia, LIM19, Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, Brazil
| | - Jorge Kalil
- Laboratório de Imunologia, LIM19, Instituto do Coração (InCor), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), São Paulo, Brazil
- Departamento de Clínica Médica, Disciplina de Alergia e Imunologia Clínica, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil
- Instituto de Investigação em Imunologia-Instituto Nacional de Ciências e Tecnologia (iii-INCT), São Paulo, Brazil
| | - Silvia Beatriz Boscardin
- Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
- Instituto de Investigação em Imunologia-Instituto Nacional de Ciências e Tecnologia (iii-INCT), São Paulo, Brazil
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Mizuno Y, Nakasone W, Nakamura M, Otaki JM. In Silico and In Vitro Evaluation of the Molecular Mimicry of the SARS-CoV-2 Spike Protein by Common Short Constituent Sequences (cSCSs) in the Human Proteome: Toward Safer Epitope Design for Vaccine Development. Vaccines (Basel) 2024; 12:539. [PMID: 38793790 PMCID: PMC11125730 DOI: 10.3390/vaccines12050539] [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: 04/30/2024] [Revised: 05/12/2024] [Accepted: 05/12/2024] [Indexed: 05/26/2024] Open
Abstract
Spike protein sequences in SARS-CoV-2 have been employed for vaccine epitopes, but many short constituent sequences (SCSs) in the spike protein are present in the human proteome, suggesting that some anti-spike antibodies induced by infection or vaccination may be autoantibodies against human proteins. To evaluate this possibility of "molecular mimicry" in silico and in vitro, we exhaustively identified common SCSs (cSCSs) found both in spike and human proteins bioinformatically. The commonality of SCSs between the two systems seemed to be coincidental, and only some cSCSs were likely to be relevant to potential self-epitopes based on three-dimensional information. Among three antibodies raised against cSCS-containing spike peptides, only the antibody against EPLDVL showed high affinity for the spike protein and reacted with an EPLDVL-containing peptide from the human unc-80 homolog protein. Western blot analysis revealed that this antibody also reacted with several human proteins expressed mainly in the small intestine, ovary, and stomach. Taken together, these results showed that most cSCSs are likely incapable of inducing autoantibodies but that at least EPLDVL functions as a self-epitope, suggesting a serious possibility of infection-induced or vaccine-induced autoantibodies in humans. High-risk cSCSs, including EPLDVL, should be excluded from vaccine epitopes to prevent potential autoimmune disorders.
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Affiliation(s)
- Yuya Mizuno
- The BCPH Unit of Molecular Physiology, Department of Chemistry, Biology and Marine Science, Faculty of Science, University of the Ryukyus, Senbaru, Nishihara 903-0213, Okinawa, Japan
| | - Wataru Nakasone
- Computer Science and Intelligent Systems Unit, Department of Engineering, Faculty of Engineering, University of the Ryukyus, Senbaru, Nishihara 903-0213, Okinawa, Japan
| | - Morikazu Nakamura
- Computer Science and Intelligent Systems Unit, Department of Engineering, Faculty of Engineering, University of the Ryukyus, Senbaru, Nishihara 903-0213, Okinawa, Japan
| | - Joji M. Otaki
- The BCPH Unit of Molecular Physiology, Department of Chemistry, Biology and Marine Science, Faculty of Science, University of the Ryukyus, Senbaru, Nishihara 903-0213, Okinawa, Japan
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Brunet J, Choucha Z, Gransagne M, Tabbal H, Ku MW, Buchrieser J, Fernandes P, Batalie D, Lopez J, Ma L, Dufour E, Simon E, Hardy D, Petres S, Guinet F, Strick-Marchand H, Monot M, Charneau P, Majlessi L, Duprex WP, Gerke C, Martin A, Escriou N. A measles-vectored vaccine candidate expressing prefusion-stabilized SARS-CoV-2 spike protein brought to phase I/II clinical trials: candidate selection in a preclinical murine model. J Virol 2024; 98:e0169323. [PMID: 38563763 DOI: 10.1128/jvi.01693-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/10/2024] [Indexed: 04/04/2024] Open
Abstract
In the early COVID-19 pandemic with urgent need for countermeasures, we aimed at developing a replicating viral vaccine using the highly efficacious measles vaccine as vector, a promising technology with prior clinical proof of concept. Building on our successful pre-clinical development of a measles virus (MV)-based vaccine candidate against the related SARS-CoV, we evaluated several recombinant MV expressing codon-optimized SARS-CoV-2 spike glycoprotein. Candidate V591 expressing a prefusion-stabilized spike through introduction of two proline residues in HR1 hinge loop, together with deleted S1/S2 furin cleavage site and additional inactivation of the endoplasmic reticulum retrieval signal, was the most potent in eliciting neutralizing antibodies in mice. After single immunization, V591 induced similar neutralization titers as observed in sera of convalescent patients. The cellular immune response was confirmed to be Th1 skewed. V591 conferred long-lasting protection against SARS-CoV-2 challenge in a murine model with marked decrease in viral RNA load, absence of detectable infectious virus loads, and reduced lesions in the lungs. V591 was furthermore efficacious in an established non-human primate model of disease (see companion article [S. Nambulli, N. Escriou, L. J. Rennick, M. J. Demers, N. L. Tilston-Lunel et al., J Virol 98:e01762-23, 2024, https://doi.org/10.1128/jvi.01762-23]). Thus, V591 was taken forward into phase I/II clinical trials in August 2020. Unexpected low immunogenicity in humans (O. Launay, C. Artaud, M. Lachâtre, M. Ait-Ahmed, J. Klein et al., eBioMedicine 75:103810, 2022, https://doi.org/10.1016/j.ebiom.2021.103810) revealed that the underlying mechanisms for resistance or sensitivity to pre-existing anti-measles immunity are not yet understood. Different hypotheses are discussed here, which will be important to investigate for further development of the measles-vectored vaccine platform.IMPORTANCESARS-CoV-2 emerged at the end of 2019 and rapidly spread worldwide causing the COVID-19 pandemic that urgently called for vaccines. We developed a vaccine candidate using the highly efficacious measles vaccine as vector, a technology which has proved highly promising in clinical trials for other pathogens. We report here and in the companion article by Nambulli et al. (J Virol 98:e01762-23, 2024, https://doi.org/10.1128/jvi.01762-23) the design, selection, and preclinical efficacy of the V591 vaccine candidate that was moved into clinical development in August 2020, 7 months after the identification of SARS-CoV-2 in Wuhan. These unique in-human trials of a measles vector-based COVID-19 vaccine revealed insufficient immunogenicity, which may be the consequence of previous exposure to the pediatric measles vaccine. The three studies together in mice, primates, and humans provide a unique insight into the measles-vectored vaccine platform, raising potential limitations of surrogate preclinical models and calling for further refinement of the platform.
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Affiliation(s)
- Jérémy Brunet
- Institut Pasteur, Université Paris Cité, Département de Santé Globale, Paris, France
| | - Zaineb Choucha
- Institut Pasteur, Université Paris Cité, Département de Santé Globale, Paris, France
| | - Marion Gransagne
- Institut Pasteur, Université Paris Cité, Département de Santé Globale, Paris, France
| | - Houda Tabbal
- Institut Pasteur, Université Paris Cité, CNRS UMR3569, Génétique Moléculaire des Virus à ARN, Paris, France
| | - Min-Wen Ku
- Institut Pasteur, Université Paris Cité, Pasteur-TheraVectys Joint Lab, Paris, France
| | - Julian Buchrieser
- Institut Pasteur, Université Paris Cité, CNRS UMR3569, Virus and Immunity Unit, Paris, France
| | - Priyanka Fernandes
- Institut Pasteur, Université Paris Cité, INSERM U1223, Innate Immunity Unit, Paris, France
| | - Damien Batalie
- Institut Pasteur, Université Paris Cité, CNRS UMR3569, Génétique Moléculaire des Virus à ARN, Paris, France
| | - Jodie Lopez
- Institut Pasteur, Université Paris Cité, Pasteur-TheraVectys Joint Lab, Paris, France
| | - Laurence Ma
- Institut Pasteur, Université Paris Cité, Biomics, C2RT, Paris, France
| | - Evelyne Dufour
- Institut Pasteur, Université Paris Cité, CNRS UMR 3528, Production and Purification of Recombinant Proteins Technological Platform, Paris, France
| | - Emeline Simon
- Institut Pasteur, Université Paris Cité, CNRS UMR3569, Génétique Moléculaire des Virus à ARN, Paris, France
| | - David Hardy
- Institut Pasteur, Université Paris Cité, Histopathology Platform, Paris, France
| | - Stéphane Petres
- Institut Pasteur, Université Paris Cité, CNRS UMR 3528, Production and Purification of Recombinant Proteins Technological Platform, Paris, France
| | - Françoise Guinet
- Institut Pasteur, Université Paris Cité, INSERM U1223, Lymphocytes and Immunity Unit, Paris, France
| | - Helene Strick-Marchand
- Institut Pasteur, Université Paris Cité, INSERM U1223, Innate Immunity Unit, Paris, France
| | - Marc Monot
- Institut Pasteur, Université Paris Cité, Biomics, C2RT, Paris, France
| | - Pierre Charneau
- Institut Pasteur, Université Paris Cité, Pasteur-TheraVectys Joint Lab, Paris, France
| | - Laleh Majlessi
- Institut Pasteur, Université Paris Cité, Pasteur-TheraVectys Joint Lab, Paris, France
| | - W Paul Duprex
- Center for Vaccine Research, Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Christiane Gerke
- Institut Pasteur, Université Paris Cité, Innovation Office, Vaccine Programs, Paris, France
| | - Annette Martin
- Institut Pasteur, Université Paris Cité, CNRS UMR3569, Génétique Moléculaire des Virus à ARN, Paris, France
| | - Nicolas Escriou
- Institut Pasteur, Université Paris Cité, Département de Santé Globale, Paris, France
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Pušnik J, Zorn J, Monzon-Posadas WO, Peters K, Osypchuk E, Blaschke S, Streeck H. Vaccination impairs de novo immune response to omicron breakthrough infection, a precondition for the original antigenic sin. Nat Commun 2024; 15:3102. [PMID: 38600072 PMCID: PMC11006949 DOI: 10.1038/s41467-024-47451-w] [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: 11/16/2023] [Accepted: 04/02/2024] [Indexed: 04/12/2024] Open
Abstract
Several studies have suggested the imprinting of SARS-CoV-2 immunity by original immune challenge without addressing the formation of the de novo response to successive antigen exposures. As this is crucial for the development of the original antigenic sin, we assessed the immune response against the mutated epitopes of omicron SARS-CoV-2 after vaccine breakthrough. Our data demonstrate a robust humoral response in thrice-vaccinated individuals following omicron breakthrough which is a recall of vaccine-induced memory. The humoral and memory B cell responses against the altered regions of the omicron surface proteins are impaired. The T cell responses to mutated epitopes of the omicron spike protein are present due to the high cross-reactivity of vaccine-induced T cells rather than the formation of a de novo response. Our findings, therefore, underpin the speculation that the imprinting of SARS-CoV-2 immunity by vaccination may lead to the development of original antigenic sin if future variants overcome the vaccine-induced immunity.
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Affiliation(s)
- Jernej Pušnik
- Institute of Virology, University Hospital Bonn, Bonn, Germany.
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Braunschweig, Germany.
| | - Jasmin Zorn
- Institute of Virology, University Hospital Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Braunschweig, Germany
| | - Werner O Monzon-Posadas
- Institute of Virology, University Hospital Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Braunschweig, Germany
- Occupational Medicine Department, University Hospital Bonn, Bonn, Germany
| | - Kathrin Peters
- Institute of Virology, University Hospital Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Braunschweig, Germany
| | - Emmanuil Osypchuk
- Institute of Virology, University Hospital Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Braunschweig, Germany
| | - Sabine Blaschke
- Emergency Department, University Medical Center Goettingen, Goettingen, Germany
| | - Hendrik Streeck
- Institute of Virology, University Hospital Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), partner site Bonn-Cologne, Braunschweig, Germany
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11
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Qian J, Zhang S, Wang F, Li J, Zhang J. What makes SARS-CoV-2 unique? Focusing on the spike protein. Cell Biol Int 2024; 48:404-430. [PMID: 38263600 DOI: 10.1002/cbin.12130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/25/2023] [Accepted: 01/02/2024] [Indexed: 01/25/2024]
Abstract
Severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) seriously threatens public health and safety. Genetic variants determine the expression of SARS-CoV-2 structural proteins, which are associated with enhanced transmissibility, enhanced virulence, and immune escape. Vaccination is encouraged as a public health intervention, and different types of vaccines are used worldwide. However, new variants continue to emerge, especially the Omicron complex, and the neutralizing antibody responses are diminished significantly. In this review, we outlined the uniqueness of SARS-CoV-2 from three perspectives. First, we described the detailed structure of the spike (S) protein, which is highly susceptible to mutations and contributes to the distinct infection cycle of the virus. Second, we systematically summarized the immunoglobulin G epitopes of SARS-CoV-2 and highlighted the central role of the nonconserved regions of the S protein in adaptive immune escape. Third, we provided an overview of the vaccines targeting the S protein and discussed the impact of the nonconserved regions on vaccine effectiveness. The characterization and identification of the structure and genomic organization of SARS-CoV-2 will help elucidate its mechanisms of viral mutation and infection and provide a basis for the selection of optimal treatments. The leaps in advancements regarding improved diagnosis, targeted vaccines and therapeutic remedies provide sound evidence showing that scientific understanding, research, and technology evolved at the pace of the pandemic.
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Affiliation(s)
- Jingbo Qian
- Department of Laboratory Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Shichang Zhang
- Department of Clinical Laboratory Medicine, Shenzhen Hospital of Southern Medical University, Shenzhen, China
| | - Fang Wang
- Department of Laboratory Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Jiexin Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
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12
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Lidenge SJ, Yalcin D, Bennett SJ, Ngalamika O, Kweyamba BB, Mwita CJ, Tso FY, Mwaiselage J, West JT, Wood C. Viral Epitope Scanning Reveals Correlation between Seasonal HCoVs and SARS-CoV-2 Antibody Responses among Cancer and Non-Cancer Patients. Viruses 2024; 16:448. [PMID: 38543814 PMCID: PMC10975915 DOI: 10.3390/v16030448] [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: 01/27/2024] [Revised: 02/23/2024] [Accepted: 03/09/2024] [Indexed: 04/01/2024] Open
Abstract
Seasonal coronaviruses (HCoVs) are known to contribute to cross-reactive antibody (Ab) responses against SARS-CoV-2. While these responses are predictable due to the high homology between SARS-CoV-2 and other CoVs, the impact of these responses on susceptibility to SARS-CoV-2 infection in cancer patients is unclear. To investigate the influence of prior HCoV infection on anti-SARS-CoV-2 Ab responses among COVID-19 asymptomatic individuals with cancer and controls without cancers, we utilized the VirScan technology in which phage immunoprecipitation and sequencing (PhIP-seq) of longitudinal plasma samples was performed to investigate high-resolution (i.e., epitope level) humoral CoV responses. Despite testing positive for anti-SARS-CoV-2 Ab in the plasma, a majority of the participants were asymptomatic for COVID-19 with no prior history of COVID-19 diagnosis. Although the magnitudes of the anti-SARS-CoV-2 Ab responses were lower in individuals with Kaposi sarcoma (KS) compared to non-KS cancer individuals and those without cancer, the HCoV Ab repertoire was similar between individuals with and without cancer independent of age, sex, HIV status, and chemotherapy. The magnitudes of the anti-spike HCoV responses showed a strong positive association with those of the anti-SARS-CoV-2 spike in cancer patients, and only a weak association in non-cancer patients, suggesting that prior infection with HCoVs might play a role in limiting SARS-CoV-2 infection and COVID-19 disease severity.
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Affiliation(s)
- Salum J. Lidenge
- Department of Clinical Research, Training, and Consultancy, Ocean Road Cancer Institute, Dar es Salaam P.O. Box 3592, Tanzania; (S.J.L.); (B.B.K.); (J.M.)
- Department of Clinical Oncology, Muhimbili University of Health and Allied Sciences, Dar es Salaam P.O. Box 65001, Tanzania
| | - Dicle Yalcin
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA; (D.Y.); (S.J.B.); (F.Y.T.); (J.T.W.)
| | - Sydney J. Bennett
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA; (D.Y.); (S.J.B.); (F.Y.T.); (J.T.W.)
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE 68516, USA
| | - Owen Ngalamika
- Dermatology and Venereology Division, University Teaching Hospital, University of Zambia School of Medicine, Lusaka P.O. Box 50001, Zambia;
| | - Brenda B. Kweyamba
- Department of Clinical Research, Training, and Consultancy, Ocean Road Cancer Institute, Dar es Salaam P.O. Box 3592, Tanzania; (S.J.L.); (B.B.K.); (J.M.)
| | - Chacha J. Mwita
- Department of Clinical Research, Training, and Consultancy, Ocean Road Cancer Institute, Dar es Salaam P.O. Box 3592, Tanzania; (S.J.L.); (B.B.K.); (J.M.)
| | - For Yue Tso
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA; (D.Y.); (S.J.B.); (F.Y.T.); (J.T.W.)
| | - Julius Mwaiselage
- Department of Clinical Research, Training, and Consultancy, Ocean Road Cancer Institute, Dar es Salaam P.O. Box 3592, Tanzania; (S.J.L.); (B.B.K.); (J.M.)
- Department of Clinical Oncology, Muhimbili University of Health and Allied Sciences, Dar es Salaam P.O. Box 65001, Tanzania
| | - John T. West
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA; (D.Y.); (S.J.B.); (F.Y.T.); (J.T.W.)
| | - Charles Wood
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA; (D.Y.); (S.J.B.); (F.Y.T.); (J.T.W.)
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE 68516, USA
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13
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Yaghoobizadeh F, Roayaei Ardakani M, Ranjbar MM, Khosravi M, Galehdari H. Development of a potent recombinant scFv antibody against the SARS-CoV-2 by in-depth bioinformatics study: Paving the way for vaccine/diagnostics development. Comput Biol Med 2024; 170:108091. [PMID: 38295473 DOI: 10.1016/j.compbiomed.2024.108091] [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: 05/09/2023] [Revised: 01/26/2024] [Accepted: 01/27/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND The SARS-CoV-2 has led to a worldwide disaster. Thus, developing prophylactics/therapeutics is required to overcome this public health issue. Among these, producing the anti-SARS-CoV-2 single-chain variable fragment (scFv) antibodies has attracted a significant attention. Accordingly, this study aims to address this question: Is it possible to bioinformatics-based design of a potent anti-SARS-CoV-2 scFv as an alternative to current production approaches? METHOD Using the complexed SARS-CoV-2 spike-antibodies, two sets analyses were performed: (1) B-cell epitopes (BCEs) prediction in the spike receptor-binding domain (RBD) region as a parameter for antibody screening; (2) the computational analysis of antibodies variable domains (VH/VL). Based on these primary screenings, and docking/binding affinity rating, one antibody was selected. The protein-protein interactions (PPIs) among the selected antibody-epitope complex were predicted and its epitope conservancy was also evaluated. Thereafter, some elements were added to the final scFv: (1) the PelB signal peptide; (2) a GSGGGGS linker to connect the VH-VL. Finally, this scFv was analyzed/optimized using various web servers. RESULTS Among the antibody library, only one met the various criteria for being an efficient scFv candidate. Moreover, no interaction was predicted between its paratope and RBD hot-spot residues of SARS-CoV-2 variants-of-Concern (VOCs). CONCLUSIONS Herein, a step-by-step bioinformatics platform has been introduced to bypass some barriers of traditional antibody production approaches. Based on existing literature, the current study is one of the pioneer works in the field of bioinformatics-based scFv production. This scFv may be a good candidate for diagnostics/therapeutics design against the SARS-CoV-2 as an emerging aggressive pathogen.
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Affiliation(s)
- Fatemeh Yaghoobizadeh
- Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Khouzestan, 6135783151, Iran.
| | - Mohammad Roayaei Ardakani
- Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Khouzestan, 6135783151, Iran.
| | | | - Mohammad Khosravi
- Department of Pathobiology, Faculty of Veterinary Medicine, Shahid Chamran University of Ahvaz, Ahvaz, Khouzestan, 6135783151, Iran.
| | - Hamid Galehdari
- Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Khouzestan, 6135783151, Iran.
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14
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Zhang J, Kuang T, Liu X. Advances in researches on long coronavirus disease in children: a narrative review. Transl Pediatr 2024; 13:318-328. [PMID: 38455739 PMCID: PMC10915432 DOI: 10.21037/tp-23-472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/31/2023] [Indexed: 03/09/2024] Open
Abstract
Background and Objective In the context of the global pandemic of coronavirus disease 2019 (COVID-19), more than 700 million infections and millions of deaths have occurred in countries around the world. Currently, two main sequelae of this disease are considered to occur in children, namely, multi-system inflammatory syndrome in children and long COVID. Among these two, the incidence of long COVID is higher and its impact on the population is more extensive, which is the focus of us. However, due to the lack of relevant studies and the limitations of most studies, the studies on sequelae of COVID-19 infection lag behind those of adults, but they have begun to attract the attention of some clinicians and researchers. We aim to summarize the current knowledge of long COVID in children, helping pediatricians and researchers to better understand this disease and providing guidance on research and clinical treatment of it. Methods We reviewed all the studies on "long COVID", pediatric, children, adolescent, post-COVID syndrome in PubMed published after 2019. Key Content and Findings This review summarizes the latest researches on epidemiology, pathogenesis, clinical manifestations, prevention and treatment of long COVID in children. Based on the existing research data, we summarized and analyzed the characteristics of long COVID in children, discovering the means to decipher the diagnosis of COVID-19 in children and some potential therapeutic treatments. Conclusions We aim to summarize existing research on long COVID in children and help pediatricians and government agencies quickly understand the disease so that it can be used for clinical diagnosis, treatment and prevention in the population. In addition, providing a research basis for further researches on the cellular and even molecular level to explain the occurrence and development of diseases, and has a guiding role for future research direction.
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15
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Aldoukhi AH, Bilalis P, Alhattab DM, Valle-Pérez AU, Susapto HH, Pérez-Pedroza R, Backhoff-García E, Alsawaf SM, Alshehri S, Boshah H, Alrashoudi AA, Aljabr WA, Alaamery M, Alrashed M, Hasanato RM, Farzan RA, Alsubki RA, Moretti M, Abedalthagafi MS, Hauser CAE. Fusing Peptide Epitopes for Advanced Multiplex Serological Testing for SARS-CoV-2 Antibody Detection. ACS BIO & MED CHEM AU 2024; 4:37-52. [PMID: 38404747 PMCID: PMC10885102 DOI: 10.1021/acsbiomedchemau.3c00010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 07/29/2023] [Accepted: 07/31/2023] [Indexed: 02/27/2024]
Abstract
The tragic COVID-19 pandemic, which has seen a total of 655 million cases worldwide and a death toll of over 6.6 million seems finally tailing off. Even so, new variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to arise, the severity of which cannot be predicted in advance. This is concerning for the maintenance and stability of public health, since immune evasion and increased transmissibility may arise. Therefore, it is crucial to continue monitoring antibody responses to SARS-CoV-2 in the general population. As a complement to polymerase chain reaction tests, multiplex immunoassays are elegant tools that use individual protein or peptide antigens simultaneously to provide a high level of sensitivity and specificity. To further improve these aspects of SARS-CoV-2 antibody detection, as well as accuracy, we have developed an advanced serological peptide-based multiplex assay using antigen-fused peptide epitopes derived from both the spike and the nucleocapsid proteins. The significance of the epitopes selected for antibody detection has been verified by in silico molecular docking simulations between the peptide epitopes and reported SARS-CoV-2 antibodies. Peptides can be more easily and quickly modified and synthesized than full length proteins and can, therefore, be used in a more cost-effective manner. Three different fusion-epitope peptides (FEPs) were synthesized and tested by enzyme-linked immunosorbent assay (ELISA). A total of 145 blood serum samples were used, compromising 110 COVID-19 serum samples from COVID-19 patients and 35 negative control serum samples taken from COVID-19-free individuals before the outbreak. Interestingly, our data demonstrate that the sensitivity, specificity, and accuracy of the results for the FEP antigens are higher than for single peptide epitopes or mixtures of single peptide epitopes. Our FEP concept can be applied to different multiplex immunoassays testing not only for SARS-CoV-2 but also for various other pathogens. A significantly improved peptide-based serological assay may support the development of commercial point-of-care tests, such as lateral-flow-assays.
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Affiliation(s)
- Ali H. Aldoukhi
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Panayiotis Bilalis
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Dana M. Alhattab
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Alexander U. Valle-Pérez
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Hepi H. Susapto
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Rosario Pérez-Pedroza
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Emiliano Backhoff-García
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Sarah M. Alsawaf
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Salwa Alshehri
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Hattan Boshah
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Abdulelah A. Alrashoudi
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Waleed A. Aljabr
- Research
Centre, King Fahad Medical City, Riyadh 12231, Saudi Arabia
| | - Manal Alaamery
- Developmental
Medicine Department, King Abdullah International Medical Research
Center, King Abdulaziz Medical City, Ministry of National Guard-Health
Affairs, King Saud Bin Abdulaziz University
for Health Sciences, Riyadh 11426, Saudi Arabia
- KACST-BWH
Centre of Excellence for Biomedicine, Joint Centers of Excellence
Program, King Abdulaziz City for Science
and Technology (KACST), Riyadh 12371, Saudi Arabia
- Saudi
Human Genome Project (SHGP), Satellite Lab at King Abdulaziz Medical
City (KAMC), Ministry of National Guard Health Affairs (MNG-HA), King Abdulaziz City for Science and Technology (KACST), Riyadh 11426, Saudi Arabia
| | - May Alrashed
- Department
of Clinical Laboratory Science, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
- Chair
of Medical and Molecular Genetics Research, King Saud University, Riyadh 11433, Saudi Arabia
| | - Rana M. Hasanato
- Department
of Pathology and Laboratory Medicine, King
Saud University, Riyadh 11433, Saudi Arabia
| | - Raed A. Farzan
- Department
of Clinical Laboratory Science, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
- Chair
of Medical and Molecular Genetics Research, King Saud University, Riyadh 11433, Saudi Arabia
| | - Roua A. Alsubki
- Department
of Clinical Laboratory Science, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia
- Chair
of Medical and Molecular Genetics Research, King Saud University, Riyadh 11433, Saudi Arabia
| | - Manola Moretti
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
| | - Malak S. Abedalthagafi
- Pathology and Laboratory Medicine, Emory
School of Medicine, Atlanta, Georgia 30329, United States
| | - Charlotte A. E. Hauser
- Laboratory
for Nanomedicine, Division of Biological and Environmental Science
and Engineering (BESE), King Abdullah University
of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational
Bioscience Research Center (CBRC), King
Abdullah University of Science and Technology, Thuwal 23955-69900, Saudi Arabia
- Red Sea
Research Center, Division of Biological and Environmental
Science and Engineering (BESE), King Abdullah
University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
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16
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Reinig S, Shih SR. Non-neutralizing functions in anti-SARS-CoV-2 IgG antibodies. Biomed J 2024; 47:100666. [PMID: 37778697 PMCID: PMC10825350 DOI: 10.1016/j.bj.2023.100666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 08/31/2023] [Accepted: 09/27/2023] [Indexed: 10/03/2023] Open
Abstract
Most individuals infected with or vaccinated against COVID-19 develop antigenic neutralizing immunoglobulin G (IgG) antibodies against the SARS-CoV-2 spike protein. Although neutralizing antibodies are biomarkers of the adaptive immune response, their mere presence is insufficient to explain the protection afforded against the disease or its pathology. IgG exhibits other secondary effector functions that activate innate immune components, including complement, natural killer cells, and macrophages. The affinity for effector cells depends on the isotypes and glycosylation of IgG antibodies. The anti-spike IgG titer should be sufficient to provide significant Fc-mediated effects in severe COVID-19, mRNA, and protein subunit vaccinations. In combination with aberrant effector cells, pro-inflammatory afucosylated IgG1 and IgG3 may be detrimental in severe COVID-19. The antibody response of mRNA vaccines leads to higher fucosylation and a less inflammatory IgG profile, with a long-term shift to IgG4, which is correlated with protection from disease.
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Affiliation(s)
- Sebastian Reinig
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
| | - Shin-Ru Shih
- Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Research Center for Chinese Herbal Medicine, Chang Gung University of Science and Technology, Taoyuan, Taiwan.
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17
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Musunuri S, Weidenbacher PAB, Kim PS. Bringing immunofocusing into focus. NPJ Vaccines 2024; 9:11. [PMID: 38195562 PMCID: PMC10776678 DOI: 10.1038/s41541-023-00792-x] [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: 05/29/2023] [Accepted: 12/07/2023] [Indexed: 01/11/2024] Open
Abstract
Immunofocusing is a strategy to create immunogens that redirect humoral immune responses towards a targeted epitope and away from non-desirable epitopes. Immunofocusing methods often aim to develop "universal" vaccines that provide broad protection against highly variant viruses such as influenza virus, human immunodeficiency virus (HIV-1), and most recently, severe acute respiratory syndrome coronavirus (SARS-CoV-2). We use existing examples to illustrate five main immunofocusing strategies-cross-strain boosting, mosaic display, protein dissection, epitope scaffolding, and epitope masking. We also discuss obstacles for immunofocusing like immune imprinting. A thorough understanding, advancement, and application of the methods we outline here will enable the design of high-resolution vaccines that protect against future viral outbreaks.
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Affiliation(s)
- Sriharshita Musunuri
- Stanford ChEM-H, Stanford University, Stanford, CA, 94305, USA
- Department of Biochemistry, Stanford University, Stanford, CA, 94305, USA
| | - Payton A B Weidenbacher
- Stanford ChEM-H, Stanford University, Stanford, CA, 94305, USA
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA
| | - Peter S Kim
- Stanford ChEM-H, Stanford University, Stanford, CA, 94305, USA.
- Department of Biochemistry, Stanford University, Stanford, CA, 94305, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.
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18
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Guo C, Wu JY. Pathogen Discovery in the Post-COVID Era. Pathogens 2024; 13:51. [PMID: 38251358 PMCID: PMC10821006 DOI: 10.3390/pathogens13010051] [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: 11/11/2023] [Revised: 12/22/2023] [Accepted: 01/03/2024] [Indexed: 01/23/2024] Open
Abstract
Pathogen discovery plays a crucial role in the fields of infectious diseases, clinical microbiology, and public health. During the past four years, the global response to the COVID-19 pandemic highlighted the importance of early and accurate identification of novel pathogens for effective management and prevention of outbreaks. The post-COVID era has ushered in a new phase of infectious disease research, marked by accelerated advancements in pathogen discovery. This review encapsulates the recent innovations and paradigm shifts that have reshaped the landscape of pathogen discovery in response to the COVID-19 pandemic. Primarily, we summarize the latest technology innovations, applications, and causation proving strategies that enable rapid and accurate pathogen discovery for both acute and historical infections. We also explored the significance and the latest trends and approaches being employed for effective implementation of pathogen discovery from various clinical and environmental samples. Furthermore, we emphasize the collaborative nature of the pandemic response, which has led to the establishment of global networks for pathogen discovery.
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Affiliation(s)
- Cheng Guo
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Jian-Yong Wu
- School of Public Health, Xinjiang Medical University, Urumqi 830017, China
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19
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Mead MN, Seneff S, Wolfinger R, Rose J, Denhaerynck K, Kirsch S, McCullough PA. COVID-19 mRNA Vaccines: Lessons Learned from the Registrational Trials and Global Vaccination Campaign. Cureus 2024; 16:e52876. [PMID: 38274635 PMCID: PMC10810638 DOI: 10.7759/cureus.52876] [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] [Accepted: 01/24/2024] [Indexed: 01/27/2024] Open
Abstract
Our understanding of COVID-19 vaccinations and their impact on health and mortality has evolved substantially since the first vaccine rollouts. Published reports from the original randomized phase 3 trials concluded that the COVID-19 mRNA vaccines could greatly reduce COVID-19 symptoms. In the interim, problems with the methods, execution, and reporting of these pivotal trials have emerged. Re-analysis of the Pfizer trial data identified statistically significant increases in serious adverse events (SAEs) in the vaccine group. Numerous SAEs were identified following the Emergency Use Authorization (EUA), including death, cancer, cardiac events, and various autoimmune, hematological, reproductive, and neurological disorders. Furthermore, these products never underwent adequate safety and toxicological testing in accordance with previously established scientific standards. Among the other major topics addressed in this narrative review are the published analyses of serious harms to humans, quality control issues and process-related impurities, mechanisms underlying adverse events (AEs), the immunologic basis for vaccine inefficacy, and concerning mortality trends based on the registrational trial data. The risk-benefit imbalance substantiated by the evidence to date contraindicates further booster injections and suggests that, at a minimum, the mRNA injections should be removed from the childhood immunization program until proper safety and toxicological studies are conducted. Federal agency approval of the COVID-19 mRNA vaccines on a blanket-coverage population-wide basis had no support from an honest assessment of all relevant registrational data and commensurate consideration of risks versus benefits. Given the extensive, well-documented SAEs and unacceptably high harm-to-reward ratio, we urge governments to endorse a global moratorium on the modified mRNA products until all relevant questions pertaining to causality, residual DNA, and aberrant protein production are answered.
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Affiliation(s)
- M Nathaniel Mead
- Biology and Nutritional Epidemiology, Independent Research, Copper Hill, USA
| | - Stephanie Seneff
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA
| | - Russ Wolfinger
- Biostatistics and Epidemiology, Independent Research, Research Triangle Park, USA
| | - Jessica Rose
- Immunology and Public Health Research, Independent Research, Ottawa, CAN
| | - Kris Denhaerynck
- Epidemiology and Biostatistics, Independent Research, Basel, CHE
| | - Steve Kirsch
- Data Science, Independent Research, Los Angeles, USA
| | - Peter A McCullough
- Cardiology, Epidemiology, and Public Health, McCullough Foundation, Dallas, USA
- Cardiology, Epidemiology, and Public Health, Truth for Health Foundation, Tucson, USA
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20
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Tang HP, He YP, Wang J, Zhan JM, Lian WB, Xue F, Wang L, Li Y, Zhang A, Zhang F, Xu C, Li J, Xu WX. Epitope delimitation: A new method for defining epitopes of human IgG-reactive antigenic peptides based on rabbit-recognized epitope motifs. J Med Virol 2024; 96:e29388. [PMID: 38235845 DOI: 10.1002/jmv.29388] [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: 09/05/2023] [Revised: 12/07/2023] [Accepted: 12/28/2023] [Indexed: 01/19/2024]
Abstract
The use of precise epitope peptides as antigens is essential for accurate serological diagnosis of viral-infected individuals, but now it remains an unsolvable problem for mapping precise B cell epitopes (BCEs) recognized by human serum. To address this challenge, we propose a novel epitope delimitation (ED) method to uncover BCEs in the delineated human IgG-reactive (HR) antigenic peptides (APs). Specifically, the method based on the rationale of similarities in humoral immune responses between mammalian species consists of a pair of elements: experimentally delineated HR-AP and rabbit-recognized (RR) BCE motif and corresponding pair of sequence alignment analysis. As a result of using the ED approach, after decoding four RR-epitomes of human papillomavirus types 16/18-E6 and E7 proteins utilizing rabbit serum against each recombinant protein and sequence alignment analysis of HR-APs and RR-BCEs, 19 fine BCEs in 17 of 22 known HR-APs were defined based on each corresponding RR-BCE motifs, including the type-specificity of each delimited BCE in homologous proteins. The test with 22 known 16/20mer HR-APs demonstrated that the ED method is effective and efficient, indicating that it can be used as an alternative method to the conventional identification of fine BCEs using overlapping 8mer peptides.
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Affiliation(s)
- Hai-Ping Tang
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
| | - Ya-Ping He
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
| | - Jian Wang
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
| | - Jian-Min Zhan
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
| | - Wen-Bo Lian
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
| | - Feng Xue
- Department of Histo-Embryology Genetics and Developmental Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Wang
- Department of Histo-Embryology Genetics and Developmental Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yijie Li
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Ailian Zhang
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Fuchun Zhang
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Chen Xu
- Department of Histo-Embryology Genetics and Developmental Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinyao Li
- Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Wan-Xiang Xu
- NHC Key Lab of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China
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21
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Filimonova I, Innocenti G, Vogl T. Phage Immunoprecipitation Sequencing (PhIP-Seq) for Analyzing Antibody Epitope Repertoires Against Food Antigens. Methods Mol Biol 2024; 2717:101-122. [PMID: 37737980 DOI: 10.1007/978-1-0716-3453-0_7] [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] [Indexed: 09/23/2023]
Abstract
While thousands of food and environmental allergens have been reported, conventional methods for allergy testing typically rely on measuring immunoglobulin E (IgE) binding against panels of dozens to hundreds of antigens. Beyond IgE, also the specificity of other Ig (sub-)classes such as IgG4, has gained interest because of a potential protective role toward allergy.Phage immunoprecipitation sequencing (PhIP-Seq) allows to study hundreds of thousands of rationally selected peptide antigens and to resolve binding specificities of different Ig classes. This technology combines synthetic DNA libraries encoding antigens, with the display on the surface of T7 bacteriophages and next-generation sequencing (NGS) for quantitative readouts. Thereby binding of entire Ig repertoires can be measured to detect the exact epitopes of food allergens and to study potential cross-reactivity.In this chapter, we provide a summary of both the key experimental steps and various strategies for analyzing PhIP-Seq datasets, as well as comparing the advantages and disadvantages of this methodology for measuring antibody responses against food antigens.
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Affiliation(s)
- Ioanna Filimonova
- Medical University of Vienna, Center for Cancer Research, Vienna, Austria
| | - Gabriel Innocenti
- Medical University of Vienna, Center for Cancer Research, Vienna, Austria
| | - Thomas Vogl
- Medical University of Vienna, Center for Cancer Research, Vienna, Austria.
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22
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Harhala MA, Gembara K, Baniecki K, Pikies A, Nahorecki A, Jędruchniewicz N, Kaźmierczak Z, Rybicka I, Klimek T, Witkiewicz W, Barczyk K, Kłak M, Dąbrowska K. Experimental Identification of Cross-Reacting IgG Hotspots to Predict Existing Immunity Evasion of SARS-CoV-2 Variants by a New Biotechnological Application of Phage Display. Viruses 2023; 16:58. [PMID: 38257758 PMCID: PMC10820762 DOI: 10.3390/v16010058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/20/2023] [Accepted: 12/22/2023] [Indexed: 01/24/2024] Open
Abstract
Multiple pathogens are competing against the human immune response, leading to outbreaks that are increasingly difficult to control. For example, the SARS-CoV-2 virus continually evolves, giving rise to new variants. The ability to evade the immune system is a crucial factor contributing to the spread of these variants within the human population. With the continuous emergence of new variants, it is challenging to comprehend all the possible combinations of previous infections, various vaccination types, and potential exposure to new variants in an individual patient. Rather than conducting variant-to-variant comparisons, an efficient approach could involve identifying key protein regions associated with the immune evasion of existing immunity against the virus. In this study, we propose a new biotechnological application of bacteriophages, the phage display platform for experimental identification of regions (linear epitopes) that may function as cross-reacting IgG hotspots in SARS-CoV-2 structural proteins. A total of 34,949 epitopes derived from genomes of all SARS-CoV-2 variants deposited prior to our library design were tested in a single assay. Cross-reacting IgG hotspots are protein regions frequently recognized by cross-reacting antibodies in many variants. The assay facilitated the one-step identification of immunogenic regions of proteins that effectively induced specific IgG in SARS-CoV-2-infected patients. We identified four regions demonstrating both significant immunogenicity and the activity of a cross-reacting IgG hotspot in protein S (located at NTD, RBD, HR1, and HR2/TM domains) and two such regions in protein N (at 197-280 and 358-419 aa positions). This novel method for identifying cross-reacting IgG hotspots holds promise for informing vaccine design and serological diagnostics for COVID-19 and other infectious diseases.
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Affiliation(s)
- Marek Adam Harhala
- Research and Development Center, Regional Specialist Hospital in Wrocław, Kamieńskiego 73a St., 51-124 Wrocław, Poland; (M.A.H.); (K.G.); (N.J.); (Z.K.); (T.K.); (W.W.); (M.K.)
- Hirszfeld Institute of Immunology and Experimental Therapy, Weigla 12 St., 53-114 Wrocław, Poland;
| | - Katarzyna Gembara
- Research and Development Center, Regional Specialist Hospital in Wrocław, Kamieńskiego 73a St., 51-124 Wrocław, Poland; (M.A.H.); (K.G.); (N.J.); (Z.K.); (T.K.); (W.W.); (M.K.)
- Hirszfeld Institute of Immunology and Experimental Therapy, Weigla 12 St., 53-114 Wrocław, Poland;
| | - Krzysztof Baniecki
- Healthcare Centre in Bolesławiec, Jeleniogórska 4, 59-700 Bolesławiec, Poland; (K.B.); (A.P.); (A.N.); (K.B.)
| | - Aleksandra Pikies
- Healthcare Centre in Bolesławiec, Jeleniogórska 4, 59-700 Bolesławiec, Poland; (K.B.); (A.P.); (A.N.); (K.B.)
| | - Artur Nahorecki
- Healthcare Centre in Bolesławiec, Jeleniogórska 4, 59-700 Bolesławiec, Poland; (K.B.); (A.P.); (A.N.); (K.B.)
| | - Natalia Jędruchniewicz
- Research and Development Center, Regional Specialist Hospital in Wrocław, Kamieńskiego 73a St., 51-124 Wrocław, Poland; (M.A.H.); (K.G.); (N.J.); (Z.K.); (T.K.); (W.W.); (M.K.)
| | - Zuzanna Kaźmierczak
- Research and Development Center, Regional Specialist Hospital in Wrocław, Kamieńskiego 73a St., 51-124 Wrocław, Poland; (M.A.H.); (K.G.); (N.J.); (Z.K.); (T.K.); (W.W.); (M.K.)
- Hirszfeld Institute of Immunology and Experimental Therapy, Weigla 12 St., 53-114 Wrocław, Poland;
| | - Izabela Rybicka
- Hirszfeld Institute of Immunology and Experimental Therapy, Weigla 12 St., 53-114 Wrocław, Poland;
| | - Tomasz Klimek
- Research and Development Center, Regional Specialist Hospital in Wrocław, Kamieńskiego 73a St., 51-124 Wrocław, Poland; (M.A.H.); (K.G.); (N.J.); (Z.K.); (T.K.); (W.W.); (M.K.)
| | - Wojciech Witkiewicz
- Research and Development Center, Regional Specialist Hospital in Wrocław, Kamieńskiego 73a St., 51-124 Wrocław, Poland; (M.A.H.); (K.G.); (N.J.); (Z.K.); (T.K.); (W.W.); (M.K.)
| | - Kamil Barczyk
- Healthcare Centre in Bolesławiec, Jeleniogórska 4, 59-700 Bolesławiec, Poland; (K.B.); (A.P.); (A.N.); (K.B.)
| | - Marlena Kłak
- Research and Development Center, Regional Specialist Hospital in Wrocław, Kamieńskiego 73a St., 51-124 Wrocław, Poland; (M.A.H.); (K.G.); (N.J.); (Z.K.); (T.K.); (W.W.); (M.K.)
| | - Krystyna Dąbrowska
- Research and Development Center, Regional Specialist Hospital in Wrocław, Kamieńskiego 73a St., 51-124 Wrocław, Poland; (M.A.H.); (K.G.); (N.J.); (Z.K.); (T.K.); (W.W.); (M.K.)
- Hirszfeld Institute of Immunology and Experimental Therapy, Weigla 12 St., 53-114 Wrocław, Poland;
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23
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Do WL, Wang L, Forgues M, Liu J, Rabibhadana S, Pupacdi B, Zhao Y, Gholian H, Bhudhisawasdi V, Pairojkul C, Sukeepaisarnjaroen W, Pugkhem A, Luvira V, Lertprasertsuke N, Chotirosniramit A, Auewarakul CU, Ungtrakul T, Sricharunrat T, Sangrajrang S, Phornphutkul K, Budhu A, Harris CC, Mahidol C, Ruchirawat M, Wang XW. Pan-viral serology uncovers distinct virome patterns as risk predictors of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Cell Rep Med 2023; 4:101328. [PMID: 38118412 PMCID: PMC10772458 DOI: 10.1016/j.xcrm.2023.101328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 07/31/2023] [Accepted: 11/17/2023] [Indexed: 12/22/2023]
Abstract
This study evaluates the pan-serological profiles of hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA) compared to several diseased and non-diseased control populations to identify risk factors and biomarkers of liver cancer. We used phage immunoprecipitation sequencing, an anti-viral antibody screening method using a synthetic-phage-displayed human virome epitope library, to screen patient serum samples for exposure to over 1,280 strains of pathogenic and non-pathogenic viruses. Using machine learning methods to develop an HCC or iCCA viral score, we discovered that both viral scores were positively associated with several liver function markers in two separate at-risk populations independent of viral hepatitis status. The HCC score predicted all-cause mortality over 8 years in patients with chronic liver disease at risk of HCC, while the viral hepatitis status was not predictive of survival. These results suggest that non-hepatitis viral infections may contribute to HCC and iCCA development and could be biomarkers in at-risk populations.
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Affiliation(s)
- Whitney L Do
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Limin Wang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Marshonna Forgues
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Jinping Liu
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | | | - Yongmei Zhao
- Office of Science and Technology Resources, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Heelah Gholian
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | | | | | | | - Vor Luvira
- Khon Kaen University, Khon Kaen, Thailand
| | | | | | | | | | | | | | | | - Anuradha Budhu
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Curtis C Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | | | - Mathuros Ruchirawat
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA; Center of Excellence on Environmental Health and Toxicology, Office of Higher Education Commission, Ministry of Education, Bangkok, Thailand.
| | - Xin Wei Wang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
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24
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Shamabadi NS, Bagasra AB, Pawar S, Bagasra O. Potential use of endemic human coronaviruses to stimulate immunity against pathogenic SARS-CoV-2 and its variants. Libyan J Med 2023; 18:2209949. [PMID: 37186902 DOI: 10.1080/19932820.2023.2209949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023] Open
Abstract
While severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes significant morbidity and mortality in humans, there is a wide range of disease outcomes following virus exposures. Some individuals are asymptomatic while others develop complications within a few days after infection that can lead to fatalities in a smaller portion of the population. In the present study, we have analyzed the factors that may influence the outcome of post-SARS-CoV-2 infection. One factor that may influence virus control is pre-existing immunity conferred by an individual's past exposures to endemic coronaviruses (eCOVIDs) which cause the common cold in humans and generally, most children are exposed to one of the four eCOVIDs before 2 years of age. Here, we have carried out protein sequence analyses to show the amino acid homologies between the four eCOVIDs (i.e. OC43, HKU1, 229E, and NL63) as well as examining the cross-reactive immune responses between SARS-CoV-2 and eCOVIDs by epidemiologic analyses. Our results show that the nations where continuous exposures to eCOVIDs are very high due to religious and traditional causes showed significantly lower cases and low mortality rates per 100,000. We hypothesize that in the areas of the globe where Muslims are in majority and due to religious practices are regularly exposed to eCOVIDs they show a significantly lower infection, as well as mortality rate, and that is due to pre-existing cross-immunity against SARS-CoV-2. This is due to cross-reactive antibodies and T-cells that recognize SARS-CoV-2 antigens. We also have reviewed the current literature that has also proposed that human infections with eCOVIDs impart protection against disease caused by subsequent exposure to SARS-CoV-2. We propose that a nasal spray vaccine consisting of selected genes of eCOVIDs would be beneficial against SARS-CoV-2 and other pathogenic coronaviruses.
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Affiliation(s)
| | - Anisah B Bagasra
- Department of Psychology, Kennesaw State University, Kennesaw, GA, USA
| | - Shrikant Pawar
- Department of Computer Science and Biology, Claflin University, SC, USA
| | - Omar Bagasra
- South Carolina Center for Biotechnology, Claflin University, Orangeburg, SC, USA
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De-Simone SG, Napoleão-Pêgo P, Lechuga GC, Carvalho JPRS, Monteiro ME, Morel CM, Provance DW. Mapping IgA Epitope and Cross-Reactivity between Severe Acute Respiratory Syndrome-Associated Coronavirus 2 and DENV. Vaccines (Basel) 2023; 11:1749. [PMID: 38140154 PMCID: PMC10747746 DOI: 10.3390/vaccines11121749] [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: 10/12/2023] [Revised: 11/12/2023] [Accepted: 11/16/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND The newly introduced COVID-19 vaccines have reduced disease severity and hospitalizations. However, they do not significantly prevent infection or transmission. In the same context, measuring IgM and IgG antibody levels is important, but it does not provide information about the status of the mucosal immune response. This article describes a comprehensive mapping of IgA epitopes of the S protein, its cross-reactivity, and the development of an ELISA-peptide assay. METHODS IgA epitope mapping was conducted using SPOT synthesis and sera from RT-qPCR COVID-19-positive patients. Specific and cross-reacting epitopes were identified, and an evolutionary analysis from the early Wuhan strain to the Omicron variant was performed using bioinformatics tools and a microarray of peptides. The selected epitopes were chemically synthesized and evaluated using ELISA-IgA. RESULTS A total of 40 IgA epitopes were identified with 23 in S1 and 17 in the S2 subunit. Among these, at least 23 epitopes showed cross-reactivity with DENV and other organisms and 24 showed cross-reactivity with other associated coronaviruses. Three MAP4 polypeptides were validated by ELISA, demonstrating a sensitivity of 90-99.96% and a specificity of 100%. Among the six IgA-RBD epitopes, only the SC/18 epitope of the Omicron variants (BA.2 and BA.2.12.1) presented a single IgA epitope. CONCLUSIONS This research unveiled the IgA epitome of the S protein and identified many epitopes that exhibit cross-reactivity with DENV and other coronaviruses. The S protein of variants from Wuhan to Omicron retains many conserved IgA epitopes except for one epitope (#SCov/18). The cross-reactivity with DENV suggests limitations in using the whole S protein or the S1/S2/RBD segment for IgA serological diagnostic tests for COVID-19. The expression of these identified specific epitopes as diagnostic biomarkers could facilitate monitoring mucosal immunity to COVID-19, potentially leading to more accurate diagnoses and alternative mucosal vaccines.
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Affiliation(s)
- Salvatore G. De-Simone
- Center for Technological Development in Health (CDTS)/National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil; (P.N.-P.); (G.C.L.); (J.P.R.S.C.); (M.E.M.); (C.M.M.); (D.W.P.J.)
- Epidemiology and Molecular Systematics Laboratory (LEMS), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil
- Program of Post-Graduation on Science and Biotechnology, Department of Molecular and Cellular Biology, Biology Institute, Federal Fluminense University, Niterói 22040-036, RJ, Brazil
- Program of Post-Graduation on Parasitic Biology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil
| | - Paloma Napoleão-Pêgo
- Center for Technological Development in Health (CDTS)/National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil; (P.N.-P.); (G.C.L.); (J.P.R.S.C.); (M.E.M.); (C.M.M.); (D.W.P.J.)
- Epidemiology and Molecular Systematics Laboratory (LEMS), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil
| | - Guilherme C. Lechuga
- Center for Technological Development in Health (CDTS)/National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil; (P.N.-P.); (G.C.L.); (J.P.R.S.C.); (M.E.M.); (C.M.M.); (D.W.P.J.)
- Epidemiology and Molecular Systematics Laboratory (LEMS), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil
| | - João P. R. S. Carvalho
- Center for Technological Development in Health (CDTS)/National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil; (P.N.-P.); (G.C.L.); (J.P.R.S.C.); (M.E.M.); (C.M.M.); (D.W.P.J.)
- Program of Post-Graduation on Science and Biotechnology, Department of Molecular and Cellular Biology, Biology Institute, Federal Fluminense University, Niterói 22040-036, RJ, Brazil
| | - Maria E. Monteiro
- Center for Technological Development in Health (CDTS)/National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil; (P.N.-P.); (G.C.L.); (J.P.R.S.C.); (M.E.M.); (C.M.M.); (D.W.P.J.)
- Program of Post-Graduation on Parasitic Biology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil
| | - Carlos M. Morel
- Center for Technological Development in Health (CDTS)/National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil; (P.N.-P.); (G.C.L.); (J.P.R.S.C.); (M.E.M.); (C.M.M.); (D.W.P.J.)
| | - David W. Provance
- Center for Technological Development in Health (CDTS)/National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil; (P.N.-P.); (G.C.L.); (J.P.R.S.C.); (M.E.M.); (C.M.M.); (D.W.P.J.)
- Epidemiology and Molecular Systematics Laboratory (LEMS), Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, RJ, Brazil
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Chaudhuri D, Majumder S, Datta J, Giri K. In silico designing of an epitope-based peptide vaccine cocktail against Nipah virus: an Indian population-based epidemiological study. Arch Microbiol 2023; 205:380. [PMID: 37955744 DOI: 10.1007/s00203-023-03717-3] [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: 09/20/2023] [Revised: 10/09/2023] [Accepted: 10/21/2023] [Indexed: 11/14/2023]
Abstract
Nipah virus, a zoonotic virus from the family Paramyxoviridae has led to significant loss of lives till date with the most recent outbreak in India reported in Kerala. The virus has a considerably high mortality rate along with lack of characteristic symptoms which results in the delay of the virus detection. No specific vaccine is available for the virus although monoclonal antibody treatment has been seen to be effective along with favipiravir. The high mortality and complications caused by the virus underscores the necessity to develop alternative modes of vaccination. One such method has been designed in this study using peptide cocktail consisting of the immunologically important epitopes for use as vaccine. The human leucocytic antigens that are used for the study were analyzed for their presence in various ethnic Indian populations. This study may serve as a new avenue for development of more efficient peptide cocktail vaccines in recent future based on the population genetics and ethnicity.
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Affiliation(s)
- Dwaipayan Chaudhuri
- Department of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India
| | - Satyabrata Majumder
- Department of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India
| | - Joyeeta Datta
- Department of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India
| | - Kalyan Giri
- Department of Life Sciences, Presidency University, 86/1 College Street, Kolkata, 700073, India.
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27
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Huang CQ, Vishwanath S, Carnell GW, Chan ACY, Heeney JL. Immune imprinting and next-generation coronavirus vaccines. Nat Microbiol 2023; 8:1971-1985. [PMID: 37932355 DOI: 10.1038/s41564-023-01505-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 09/13/2023] [Indexed: 11/08/2023]
Abstract
Vaccines based on historical virus isolates provide limited protection from continuously evolving RNA viruses, such as influenza viruses or coronaviruses, which occasionally spill over between animals and humans. Despite repeated booster immunizations, population-wide declines in the neutralization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have occurred. This has been compared to seasonal influenza vaccinations in humans, where the breadth of immune responses induced by repeat exposures to antigenically distinct influenza viruses is confounded by pre-existing immunity-a mechanism known as imprinting. Since its emergence, SARS-CoV-2 has evolved in a population with partial immunity, acquired by infection, vaccination or both. Here we critically examine the evidence for and against immune imprinting in host humoral responses to SARS-CoV-2 and its implications for coronavirus disease 2019 (COVID-19) booster vaccine programmes.
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Affiliation(s)
- Chloe Qingzhou Huang
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Sneha Vishwanath
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - George William Carnell
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Andrew Chun Yue Chan
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Jonathan Luke Heeney
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
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28
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Hammer Q, Cuapio A, Bister J, Björkström NK, Ljunggren HG. NK cells in COVID-19-from disease to vaccination. J Leukoc Biol 2023; 114:507-512. [PMID: 36976012 DOI: 10.1093/jleuko/qiad031] [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: 11/21/2022] [Revised: 02/22/2023] [Accepted: 03/06/2023] [Indexed: 03/13/2023] Open
Abstract
Natural killer cells participate in the host innate immune response to viral infection. Conversely, natural killer cell dysfunction and hyperactivation can contribute to tissue damage and immunopathology. Here, we review recent studies with respect to natural killer cell activity during infection with SARS-CoV-2. Discussed are initial reports of patients hospitalized with COVID-19, which revealed prompt natural killer cell activation during the acute disease state. Another hallmark of COVID-19, early on observed, was a decrease in numbers of natural killer cells in the circulation. Data from patients with acute SARS-CoV-2 infection as well as from in vitro models demonstrated strong anti-SARS-CoV-2 activity by natural killer cells, likely through direct cytotoxicity as well as indirectly by secreting cytokines. Additionally, we describe the molecular mechanisms underlying natural killer cell recognition of SARS-CoV-2-infected cells, which involve triggering of multiple activating receptors, including NKG2D, as well as loss of inhibition through NKG2A. Discussed is also the ability of natural killer cells to respond to SARS-CoV-2 infection via antibody-dependent cellular cytotoxicity. With respect to natural killer cells in the pathogenesis of COVID-19, we review studies demonstrating how hyperactivation and misdirected NK cell responses could contribute to disease course. Finally, while knowledge is still rather limited, we discuss current insights suggesting a contribution of an early natural killer cell activation response in the generation of immunity against SARS-CoV-2 following vaccination with anti-SARS-CoV-2 mRNA vaccines.
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Affiliation(s)
- Quirin Hammer
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels allé 8, Stockholms län, 141 52 Huddinge, Sweden
| | - Angelica Cuapio
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels allé 8, Stockholms län, 141 52 Huddinge, Sweden
| | - Jonna Bister
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels allé 8, Stockholms län, 141 52 Huddinge, Sweden
| | - Niklas K Björkström
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels allé 8, Stockholms län, 141 52 Huddinge, Sweden
| | - Hans-Gustaf Ljunggren
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels allé 8, Stockholms län, 141 52 Huddinge, Sweden
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29
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Chen Y, Hu C, Wang Z, Su J, Wang S, Li B, Liu X, Yuan Z, Li D, Wang H, Zhu B, Shao Y. Immunity Induced by Inactivated SARS-CoV-2 Vaccine: Breadth, Durability, Potency, and Specificity in a Healthcare Worker Cohort. Pathogens 2023; 12:1254. [PMID: 37887770 PMCID: PMC10610065 DOI: 10.3390/pathogens12101254] [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: 08/27/2023] [Revised: 09/29/2023] [Accepted: 10/15/2023] [Indexed: 10/28/2023] Open
Abstract
Vaccination has proven to be highly effective against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but the long-term immunogenicity and the functional preserved immune responses of vaccines are needed to inform evolving evidence-based guidelines for boosting schedules. We enrolled 205 healthcare workers into a cohort study; all had received three doses of BBIBP-CorV (China Sinopharm Bio-Beijing Company, Beijing, China) inactivated vaccine. We assessed SARS-CoV-2 specific binding antibodies, neutralizing antibodies, and peripheral T and B cell responses. We demonstrated that more robust antibody responses to SARS-CoV-2 were elicited by booster immunization compared with primary vaccination. Neutralizing antibody titers to SARS-CoV-2 Omicron BA.1 were also efficiently elevated post-homologous vaccine booster despite being in a lower titer compared with the prototype stain. In addition to S-specific humoral and cellular immunity, BBIBP-CorV also induced N-specific antibody and effector T cell responses. The third-dose vaccination led to further expansion of critical polyfunctional T cell responses, likely an essential element for vaccine protection. In particular, a functional role for Tfh cell subsets in immunity was suggested by the correlation between both CD4+ Tfh and CD8+ Tfh with total antibody, IgG, B cell responses, and neutralizing antibodies. Our study details the humoral and cellular responses generated by the BBIBP-CorV booster vaccination in a seven-month follow-up study. There is a clear immunologic boosting value of homologous inactivated SARS-CoV-2 vaccine boosters, a consideration for future vaccine strategies.
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Affiliation(s)
- Ying Chen
- Department of Infectious Diseases, Zhejiang Hospital, Hangzhou 310003, China;
| | - Caiqin Hu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
| | - Zheng Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Junwei Su
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
| | - Shuo Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Bin Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Xiang Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
| | - Zhenzhen Yuan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Dan Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
| | - Hong Wang
- Department of Infectious Diseases, Zhejiang Hospital, Hangzhou 310003, China;
| | - Biao Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
| | - Yiming Shao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; (C.H.); (J.S.); (X.L.)
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; (Z.W.); (S.W.); (B.L.); (Z.Y.)
- Changping Laboratory, Beijing 102206, China
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30
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Yeung J, Wang T, Shi PY. Improvement of mucosal immunity by a live-attenuated SARS-CoV-2 nasal vaccine. Curr Opin Virol 2023; 62:101347. [PMID: 37604085 DOI: 10.1016/j.coviro.2023.101347] [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: 01/25/2023] [Accepted: 07/18/2023] [Indexed: 08/23/2023]
Abstract
The effectiveness of early COVID-19 vaccines in reducing the severity of the disease has led to a focus on developing next-generation vaccines that can prevent infection and transmission of the virus. One promising approach involves the induction of mucosal immunity through nasal administration and a variety of mucosal vaccine candidates using different platforms are currently in development. Live-attenuated viruses, less pathogenic versions of SARS-CoV-2, have promising features as a mucosal vaccine platform and have the potential to induce hybrid immunity in individuals who have already received mRNA vaccines. This review discusses the potential benefits and considerations for the use of live-attenuated SARS-CoV-2 intranasal vaccines and highlights the authors' work in developing such a vaccine platform.
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Affiliation(s)
- Jason Yeung
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA
| | - Tian Wang
- Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA; Department of Pathology, University of Texas Medical Branch, Galveston, TX, USA; Sealy Institute for Vaccine Sciences, University of Texas Medical Branch, Galveston, TX, USA; Institute for Human Infection and Immunity, University of Texas Medical Branch, Galveston, TX, USA
| | - Pei-Yong Shi
- Department of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA; Sealy Institute for Vaccine Sciences, University of Texas Medical Branch, Galveston, TX, USA; Institute for Human Infection and Immunity, University of Texas Medical Branch, Galveston, TX, USA; Sealy Institute for Drug Discovery, University of Texas Medical Branch, Galveston, TX, USA; Institute for Translational Sciences, University of Texas Medical Branch, Galveston, TX, USA; Sealy Center for Structural Biology & Molecular Biophysics, University of Texas Medical Branch, Galveston, TX, USA.
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31
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Rottmayer K, Loeffler-Wirth H, Gruenewald T, Doxiadis I, Lehmann C. Individual Immune Response to SARS-CoV-2 Infection-The Role of Seasonal Coronaviruses and Human Leukocyte Antigen. BIOLOGY 2023; 12:1293. [PMID: 37887003 PMCID: PMC10603889 DOI: 10.3390/biology12101293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 09/24/2023] [Accepted: 09/25/2023] [Indexed: 10/28/2023]
Abstract
During the coronavirus pandemic, evidence is growing that the severity, susceptibility and host immune response to SARS-CoV-2 infection can be highly variable. Several influencing factors have been discussed. Here, we investigated the humoral immune response against SARS-CoV-2 spike, S1, S2, the RBD, nucleocapsid moieties and S1 of seasonal coronaviruses: hCoV-229E, hCoV-HKU1, hCoV-NL63 and hCoV-OC43, as well as MERS-CoV and SARS-CoV, in a cohort of 512 individuals. A bead-based multiplex assay allowed simultaneous testing for all the above antigens and the identification of different antibody patterns. Then, we correlated these patterns with 11 HLA loci. Regarding the seasonal coronaviruses, we found a moderate negative correlation between antibody levels against hCoV-229E, hCoV-HKU1 and hCoV-NL63 and the SARS-CoV-2 antigens. This could be an indication of the original immunological imprinting. High and low antibody response patterns were distinguishable, demonstrating the individuality of the humoral response towards the virus. An immunogenetical factor associated with a high antibody response (formation of ≥4 different antibodies) was the presence of HLA A*26:01, C*02:02 and DPB1*04:01 alleles, whereas the HLA alleles DRB3*01:01, DPB1*03:01 and DB1*10:01 were enriched in low responders. A better understanding of this variable immune response could enable more individualized protective measures.
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Affiliation(s)
- Karla Rottmayer
- Laboratory for Transplantation Immunology, University Hospital Leipzig, Johannisallee 32, 04103 Leipzig, Germany
| | - Henry Loeffler-Wirth
- Interdisciplinary Centre for Bioinformatics, IZBI, Leipzig University, Haertelstr. 16–18, 04107 Leipzig, Germany
| | - Thomas Gruenewald
- Clinic for Infectious Diseases and Tropical Medicine, Klinikum Chemnitz, Flemmingstraße 2, 09116 Chemnitz, Germany
| | - Ilias Doxiadis
- Laboratory for Transplantation Immunology, University Hospital Leipzig, Johannisallee 32, 04103 Leipzig, Germany
| | - Claudia Lehmann
- Laboratory for Transplantation Immunology, University Hospital Leipzig, Johannisallee 32, 04103 Leipzig, Germany
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Hu D, Irving AT. Massively-multiplexed epitope mapping techniques for viral antigen discovery. Front Immunol 2023; 14:1192385. [PMID: 37818363 PMCID: PMC10561112 DOI: 10.3389/fimmu.2023.1192385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 09/04/2023] [Indexed: 10/12/2023] Open
Abstract
Following viral infection, viral antigens bind specifically to receptors on the surface of lymphocytes thereby activating adaptive immunity in the host. An epitope, the smallest structural and functional unit of an antigen, binds specifically to an antibody or antigen receptor, to serve as key sites for the activation of adaptive immunity. The complexity and diverse range of epitopes are essential to study and map for the diagnosis of disease, the design of vaccines and for immunotherapy. Mapping the location of these specific epitopes has become a hot topic in immunology and immune therapy. Recently, epitope mapping techniques have evolved to become multiplexed, with the advent of high-throughput sequencing and techniques such as bacteriophage-display libraries and deep mutational scanning. Here, we briefly introduce the principles, advantages, and disadvantages of the latest epitope mapping techniques with examples for viral antigen discovery.
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Affiliation(s)
- Diya Hu
- Zhejiang University-University of Edinburgh Institute, Zhejiang University School of Medicine, Zhejiang University, Haining, China
| | - Aaron T. Irving
- Department of Clinical Laboratory Studies, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Centre for Infection, Immunity & Cancer, Zhejiang University-University of Edinburgh Institute, Zhejiang University School of Medicine, Zhejiang University, Haining, China
- Biomedical and Health Translational Research Centre of Zhejiang Province (BIMET), Haining, China
- College of Medicine & Veterinary Medicine, The University of Edinburgh, Edinburgh, United Kingdom
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Ruhs EC, Chia WN, Foo R, Peel AJ, Li Y, Larman HB, Irving AT, Wang L, Brook CE. Applications of VirScan to broad serological profiling of bat reservoirs for emerging zoonoses. Front Public Health 2023; 11:1212018. [PMID: 37808979 PMCID: PMC10559906 DOI: 10.3389/fpubh.2023.1212018] [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: 04/25/2023] [Accepted: 09/04/2023] [Indexed: 10/10/2023] Open
Abstract
Introduction Bats are important providers of ecosystem services such as pollination, seed dispersal, and insect control but also act as natural reservoirs for virulent zoonotic viruses. Bats host multiple viruses that cause life-threatening pathology in other animals and humans but, themselves, experience limited pathological disease from infection. Despite bats' importance as reservoirs for several zoonotic viruses, we know little about the broader viral diversity that they host. Bat virus surveillance efforts are challenged by difficulties of field capture and the limited scope of targeted PCR- or ELISA-based molecular and serological detection. Additionally, virus shedding is often transient, thus also limiting insights gained from nucleic acid testing of field specimens. Phage ImmunoPrecipitation Sequencing (PhIP-Seq), a broad serological tool used previously to comprehensively profile viral exposure history in humans, offers an exciting prospect for viral surveillance efforts in wildlife, including bats. Methods Here, for the first time, we apply PhIP-Seq technology to bat serum, using a viral peptide library originally designed to simultaneously assay exposures to the entire human virome. Results Using VirScan, we identified past exposures to 57 viral genera-including betacoronaviruses, henipaviruses, lyssaviruses, and filoviruses-in semi-captive Pteropus alecto and to nine viral genera in captive Eonycteris spelaea. Consistent with results from humans, we find that both total peptide hits (the number of enriched viral peptides in our library) and the corresponding number of inferred past virus exposures in bat hosts were correlated with poor bat body condition scores and increased with age. High and low body condition scores were associated with either seropositive or seronegative status for different viruses, though in general, virus-specific age-seroprevalence curves defied assumptions of lifelong immunizing infection, suggesting that many bat viruses may circulate via complex transmission dynamics. Discussion Overall, our work emphasizes the utility of applying biomedical tools, like PhIP-Seq, first developed for humans to viral surveillance efforts in wildlife, while highlighting opportunities for taxon-specific improvements.
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Affiliation(s)
- Emily Cornelius Ruhs
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
- Grainger Bioinformatics Center, Field Museum of Natural History, Chicago, IL, United States
| | - Wan Ni Chia
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
- CoV Biotechnology Pte Ltd., Singapore, Singapore
| | - Randy Foo
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Alison J. Peel
- Centre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Brisband, QLD, Australia
| | - Yimei Li
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
- Quantitative and Computational Biology, Princeton University, Princeton, NJ, United States
| | - H. Benjamin Larman
- HBL – Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, United States
| | - Aaron T. Irving
- Second Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Zhejiang University-University of Edinburgh Institute, Haining, Zhejiang, China
- BIMET - Biomedical and Translational Research Centre of Zhejiang Province, Zhejiang Province, China
| | - Linfa Wang
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
- SingHealth Duke-NUS Global Health Institute, Singapore, Singapore
| | - Cara E. Brook
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
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Setyo Utomo DI, Suhaimi H, Muhammad Azami NA, Azmi F, Mohd Amin MCI, Xu J. An Overview of Recent Developments in the Application of Antigen Displaying Vaccine Platforms: Hints for Future SARS-CoV-2 VLP Vaccines. Vaccines (Basel) 2023; 11:1506. [PMID: 37766182 PMCID: PMC10536610 DOI: 10.3390/vaccines11091506] [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: 08/18/2023] [Revised: 09/08/2023] [Accepted: 09/19/2023] [Indexed: 09/29/2023] Open
Abstract
Recently, a great effort has been devoted to studying attenuated and subunit vaccine development against SARS-CoV-2 since its outbreak in December 2019. It is known that diverse virus-like particles (VLPs) are extensively employed as carriers to display various antigenic and immunostimulatory cargo modules for vaccine development. Single or multiple antigens or antigenic domains such as the spike or nucleocapsid protein or their variants from SARS-CoV-2 could also be incorporated into VLPs via either a genetic or chemical display approach. Such antigen display platforms would help screen safer and more effective vaccine candidates capable of generating a strong immune response with or without adjuvant. This review aims to provide valuable insights for the future development of SARS-CoV-2 VLP vaccines by summarizing the latest updates and perspectives on the vaccine development of VLP platforms for genetic and chemical displaying antigens from SARS-CoV-2.
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Affiliation(s)
- Doddy Irawan Setyo Utomo
- Research Center for Vaccine and Drug, Research Organization for Health, National Research and Innovation Agency (BRIN), Gedung 611, LAPTIAB, KST Habibie, Serpong, Tangerang Selatan 15314, Indonesia;
| | - Hamizah Suhaimi
- Centre of Drug Delivery Technology, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (H.S.); (F.A.); (M.C.I.M.A.)
| | - Nor Azila Muhammad Azami
- UKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia;
| | - Fazren Azmi
- Centre of Drug Delivery Technology, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (H.S.); (F.A.); (M.C.I.M.A.)
| | - Mohd Cairul Iqbal Mohd Amin
- Centre of Drug Delivery Technology, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia; (H.S.); (F.A.); (M.C.I.M.A.)
| | - Jian Xu
- Laboratory of Biology and Information Science, School of Life Sciences, East China Normal University, Shanghai 200062, China
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Frische A, Gunalan V, Krogfelt KA, Fomsgaard A, Lassaunière R. A Candidate DNA Vaccine Encoding the Native SARS-CoV-2 Spike Protein Induces Anti-Subdomain 1 Antibodies. Vaccines (Basel) 2023; 11:1451. [PMID: 37766128 PMCID: PMC10535225 DOI: 10.3390/vaccines11091451] [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: 07/24/2023] [Revised: 08/25/2023] [Accepted: 08/31/2023] [Indexed: 09/29/2023] Open
Abstract
The ideal vaccine against viral infections should elicit antibody responses that protect against divergent strains. Designing broadly protective vaccines against SARS-CoV-2 and other divergent viruses requires insight into the specific targets of cross-protective antibodies on the viral surface protein(s). However, unlike therapeutic monoclonal antibodies, the B-cell epitopes of vaccine-induced polyclonal antibody responses remain poorly defined. Here we show that, through the combination of neutralizing antibody functional responses with B-cell epitope mapping, it is possible to identify unique antibody targets associated with neutralization breadth. The polyclonal antibody profiles of SARS-CoV-2 index-strain-vaccinated rabbits that demonstrated a low, intermediate, or high neutralization efficiency of different SARS-CoV-2 variants of concern (VOCs) were distinctly different. Animals with an intermediate and high cross-neutralization of VOCs targeted fewer antigenic sites on the spike protein and targeted one particular epitope, subdomain 1 (SD1), situated outside the receptor binding domain (RBD). Our results indicate that a targeted functional antibody response and an additional focus on non-RBD epitopes could be effective for broad protection against different SARS-CoV-2 variants. We anticipate that the approach taken in this study can be applied to other viral vaccines for identifying future epitopes that confer cross-neutralizing antibody responses, and that our findings will inform a rational vaccine design for SARS-CoV-2.
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Affiliation(s)
- Anders Frische
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 2300 Copenhagen, Denmark; (A.F.); (V.G.); (K.A.K.); (A.F.)
- Section of Molecular and Medicinal Biology, Department of Science and Environment, Roskilde University, 4000 Roskilde, Denmark
| | - Vithiagaran Gunalan
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 2300 Copenhagen, Denmark; (A.F.); (V.G.); (K.A.K.); (A.F.)
| | - Karen Angeliki Krogfelt
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 2300 Copenhagen, Denmark; (A.F.); (V.G.); (K.A.K.); (A.F.)
- Section of Molecular and Medicinal Biology, Department of Science and Environment, Roskilde University, 4000 Roskilde, Denmark
| | - Anders Fomsgaard
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 2300 Copenhagen, Denmark; (A.F.); (V.G.); (K.A.K.); (A.F.)
- Infectious Diseases Unit, Clinical Institute, University of Southern Denmark, 5230 Odense, Denmark
| | - Ria Lassaunière
- Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, 2300 Copenhagen, Denmark; (A.F.); (V.G.); (K.A.K.); (A.F.)
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Szardenings M, Delaroque N, Kern K, Ramirez-Caballero L, Puder M, Ehrentreich-Förster E, Beige J, Zürner S, Popp G, Wolf J, Borte S. Detection of Antibodies against Endemic and SARS-CoV-2 Coronaviruses with Short Peptide Epitopes. Vaccines (Basel) 2023; 11:1403. [PMID: 37766081 PMCID: PMC10535424 DOI: 10.3390/vaccines11091403] [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: 07/14/2023] [Revised: 08/08/2023] [Accepted: 08/17/2023] [Indexed: 09/29/2023] Open
Abstract
(1) Background: Coronavirus proteins are quite conserved amongst endemic strains (eCoV) and SARS-CoV-2. We aimed to evaluate whether peptide epitopes might serve as useful diagnostic biomarkers to stratify previous infections and COVID-19. (2) Methods: Peptide epitopes were identified at an amino acid resolution that applied a novel statistical approach to generate data sets of potential antibody binding peptides. (3) Results: Data sets from more than 120 COVID-19 or eCoV-infected patients, as well as vaccinated persons, have been used to generate data sets that have been used to search in silico for potential epitopes in proteins of SARS-CoV-2 and eCoV. Peptide epitopes were validated with >300 serum samples in synthetic peptide micro arrays and epitopes specific for different viruses, in addition to the identified cross reactive epitopes. (4) Conclusions: Most patients develop antibodies against non-structural proteins, which are useful general markers for recent infections. However, there are differences in the epitope patterns of COVID-19, and eCoV, and the S-protein vaccine, which can only be explained by a high degree of cross-reactivity between the viruses, a pre-existing immune response against some epitopes, and even an alternate processing of the vaccine proteins.
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Affiliation(s)
- Michael Szardenings
- Fraunhofer Institute for Cell Therapy and Immunology (IZI), Perlickstr. 1, 04103 Leipzig, Germany; (N.D.); (K.K.); (S.Z.); (G.P.)
- epitopic GmbH, Deutscher Platz 5e, 04103 Leipzig, Germany;
| | - Nicolas Delaroque
- Fraunhofer Institute for Cell Therapy and Immunology (IZI), Perlickstr. 1, 04103 Leipzig, Germany; (N.D.); (K.K.); (S.Z.); (G.P.)
| | - Karolin Kern
- Fraunhofer Institute for Cell Therapy and Immunology (IZI), Perlickstr. 1, 04103 Leipzig, Germany; (N.D.); (K.K.); (S.Z.); (G.P.)
- epitopic GmbH, Deutscher Platz 5e, 04103 Leipzig, Germany;
| | - Lisbeth Ramirez-Caballero
- Fraunhofer Institute for Cell Therapy and Immunology (IZI), Perlickstr. 1, 04103 Leipzig, Germany; (N.D.); (K.K.); (S.Z.); (G.P.)
| | - Marcus Puder
- epitopic GmbH, Deutscher Platz 5e, 04103 Leipzig, Germany;
| | - Eva Ehrentreich-Förster
- Fraunhofer Institute for Cell Therapy and Immunology, Branch Bioanalytics and Bioprocesses IZI-BB, Am Mühlenberg 13, 14476 Potsdam, Germany;
| | - Joachim Beige
- Martin-Luther-University Halle/Wittenberg, Medical Clinic 2, 06112 Halle, Germany;
| | - Sebastian Zürner
- Fraunhofer Institute for Cell Therapy and Immunology (IZI), Perlickstr. 1, 04103 Leipzig, Germany; (N.D.); (K.K.); (S.Z.); (G.P.)
- WINF/Informationsmanagement, University Leipzig, Grimmaische Straße 12, 04109 Leipzig, Germany
| | - Georg Popp
- Fraunhofer Institute for Cell Therapy and Immunology (IZI), Perlickstr. 1, 04103 Leipzig, Germany; (N.D.); (K.K.); (S.Z.); (G.P.)
| | - Johannes Wolf
- Department of Laboratory Medicine, Hospital St. Georg, Delitzscher Strasse 141, 04129 Leipzig, Germany; (J.W.); (S.B.)
- ImmunoDeficiencyCenter Leipzig (IDCL), Jeffrey Modell Diagnostic and Research Center for Primary Immunodeficiency Diseases, Hospital St. Georg, Delitzscher Strasse 141, 04129 Leipzig, Germany
| | - Stephan Borte
- Department of Laboratory Medicine, Hospital St. Georg, Delitzscher Strasse 141, 04129 Leipzig, Germany; (J.W.); (S.B.)
- ImmunoDeficiencyCenter Leipzig (IDCL), Jeffrey Modell Diagnostic and Research Center for Primary Immunodeficiency Diseases, Hospital St. Georg, Delitzscher Strasse 141, 04129 Leipzig, Germany
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N’Guessan A, Kailasam S, Mostefai F, Poujol R, Grenier JC, Ismailova N, Contini P, De Palma R, Haber C, Stadler V, Bourque G, Hussin JG, Shapiro BJ, Fritz JH, Piccirillo CA. Selection for immune evasion in SARS-CoV-2 revealed by high-resolution epitope mapping and sequence analysis. iScience 2023; 26:107394. [PMID: 37599818 PMCID: PMC10433132 DOI: 10.1016/j.isci.2023.107394] [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: 08/05/2022] [Revised: 02/10/2023] [Accepted: 07/10/2023] [Indexed: 08/22/2023] Open
Abstract
Here, we exploit a deep serological profiling strategy coupled with an integrated, computational framework for the analysis of SARS-CoV-2 humoral immune responses. Applying a high-density peptide array (HDPA) spanning the entire proteomes of SARS-CoV-2 and endemic human coronaviruses allowed identification of B cell epitopes and relate them to their evolutionary and structural properties. We identify hotspots of pre-existing immunity and identify cross-reactive epitopes that contribute to increasing the overall humoral immune response to SARS-CoV-2. Using a public dataset of over 38,000 viral genomes from the early phase of the pandemic, capturing both inter- and within-host genetic viral diversity, we determined the evolutionary profile of epitopes and the differences across proteins, waves, and SARS-CoV-2 variants. Lastly, we show that mutations in spike and nucleocapsid epitopes are under stronger selection between than within patients, suggesting that most of the selective pressure for immune evasion occurs upon transmission between hosts.
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Affiliation(s)
- Arnaud N’Guessan
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill Genome Centre, McGill University, Montréal, QC, Canada
| | - Senthilkumar Kailasam
- Canadian Center for Computational Genomics, Montréal, QC, Canada
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Fatima Mostefai
- Research Centre, Montreal Heart Institute, Montreal, QC, Canada
- Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC, Canada
| | - Raphaël Poujol
- Research Centre, Montreal Heart Institute, Montreal, QC, Canada
| | | | - Nailya Ismailova
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill University Research Center on Complex Traits (MRCCT), McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Paola Contini
- Department of Internal Medicine, University of Genoa and IRCCS IST-Ospedale San Martino, Genoa, Italy
| | - Raffaele De Palma
- Department of Internal Medicine, University of Genoa and IRCCS IST-Ospedale San Martino, Genoa, Italy
| | | | | | - Guillaume Bourque
- Canadian Center for Computational Genomics, Montréal, QC, Canada
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Julie G. Hussin
- Research Centre, Montreal Heart Institute, Montreal, QC, Canada
- Département de Médecine, Université de Montréal, Montréal, QC, Canada
| | - B. Jesse Shapiro
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill Genome Centre, McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Jörg H. Fritz
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill University Research Center on Complex Traits (MRCCT), McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Ciriaco A. Piccirillo
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill University Research Center on Complex Traits (MRCCT), McGill University, Montréal, QC, Canada
- Infectious Diseases and Immunity in Global Health Program of the Research Institute of McGill Health Center, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
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Qiu J, Engelbrektson A, Song L, Park J, Murugan V, Williams S, Chung Y, Pompa-Mera EN, Sandoval-Ramirez JL, Mata-Marin JA, Gaytan-Martinez J, Troiani E, Sanguinetti M, Roncada P, Urbani A, Moretti G, Torres J, LaBaer J. Comparative Analysis of Antimicrobial Antibodies between Mild and Severe COVID-19. Microbiol Spectr 2023; 11:e0469022. [PMID: 37278651 PMCID: PMC10433851 DOI: 10.1128/spectrum.04690-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 05/17/2023] [Indexed: 06/07/2023] Open
Abstract
Patients with 2019 coronavirus disease (COVID-19) exhibit a broad spectrum of clinical presentations. A person's antimicrobial antibody profile, as partially shaped by past infection or vaccination, can reflect the immune system health that is critical to control and resolve the infection. We performed an explorative immunoproteomics study using microbial protein arrays displaying 318 full-length antigens from 77 viruses and 3 bacteria. We compared antimicrobial antibody profiles between 135 patients with mild COVID-19 disease and 215 patients with severe disease in 3 independent cohorts from Mexico and Italy. Severe disease patients were older with higher prevalence of comorbidities. We confirmed that severe disease patients elicited a stronger anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) response. We showed that antibodies against HCoV-229E and HcoV-NL63 but not against HcoV-HKU1 and HcoV-OC43 were also higher in those who had severe disease. We revealed that for a set of IgG and IgA antibodies targeting coronaviruses, herpesviruses, and other respiratory viruses, a subgroup of patients with the highest reactivity levels had a greater incidence of severe disease compared to those with mild disease across all three cohorts. On the contrary, fewer antibodies showed consistent greater prevalence in mild disease in all 3 cohorts. IMPORTANCE The clinical presentations of COVID-19 range from asymptomatic to critical illness that may lead to intensive care or even death. The health of the immune system, as partially shaped by past infections or vaccinations, is critical to control and resolve the infection. Using an innovative protein array platform, we surveyed antibodies against hundreds of full-length microbial antigens from 80 different viruses and bacteria in COVID-19 patients from different geographic regions with mild or severe disease. We not only confirmed the association of severe COVID-19 disease with higher reactivity of antibody responses to SARS-CoV-2 but also uncovered known and novel associations with antibody responses against herpesviruses and other respiratory viruses. Our study represents a significant step forward in understanding the factors contributing to COVID-19 disease severity. We also demonstrate the power of comprehensive antimicrobial antibody profiling in deciphering risk factors for severe COVID-19. We anticipate that our approach will have broad applications in infectious diseases.
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Affiliation(s)
- Ji Qiu
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Anna Engelbrektson
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Lusheng Song
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Jin Park
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Vel Murugan
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Stacy Williams
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
| | - Yunro Chung
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
- College of Health Solutions, Arizona State University, Phoenix, Arizona, USA
| | - Ericka Nelly Pompa-Mera
- Unidad de Investigación Médica en Enfermedades Infecciosas y Parasitarias, UMAE Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
- Hospital de Infectología, CMN “La Raza”, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | | | - Jose Antonio Mata-Marin
- Hospital de Infectología, CMN “La Raza”, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Jesus Gaytan-Martinez
- Hospital de Infectología, CMN “La Raza”, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | | | - Maurizio Sanguinetti
- Università Cattolica del Sacro Cuore, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Paola Roncada
- Department of Health Sciences, University Magna Græcia of Catanzaro, Catanzaro, Italy
| | - Andrea Urbani
- Università Cattolica del Sacro Cuore, Rome, Italy
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giacomo Moretti
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Javier Torres
- Unidad de Investigación Médica en Enfermedades Infecciosas y Parasitarias, UMAE Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Joshua LaBaer
- Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, Arizona, USA
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Stoddard CI, Sung K, Yaffe ZA, Weight H, Beaudoin-Bussières G, Galloway J, Gantt S, Adhiambo J, Begnel ER, Ojee E, Slyker J, Wamalwa D, Kinuthia J, Finzi A, Matsen FA, Lehman DA, Overbaugh J. Elevated binding and functional antibody responses to SARS-CoV-2 in infants versus mothers. Nat Commun 2023; 14:4864. [PMID: 37567924 PMCID: PMC10421871 DOI: 10.1038/s41467-023-40554-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 08/01/2023] [Indexed: 08/13/2023] Open
Abstract
Infant antibody responses to viral infection can differ from those in adults. However, data on the specificity and function of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in infants, and direct comparisons between infants and adults are limited. Here, we characterize antibody binding and functionality against Wuhan-Hu-1 (B lineage) strain SARS-CoV-2 in convalescent plasma from 36 postpartum women and 14 of their infants infected with SARS-CoV-2 from a vaccine-naïve prospective cohort in Nairobi, Kenya. We find significantly higher antibody titers against SARS-CoV-2 Spike, receptor binding domain and N-terminal domain, and Spike-expressing cell-surface staining levels in infants versus mothers. Plasma antibodies from mothers and infants bind to similar regions of the Spike S2 subunit, including the fusion peptide (FP) and stem helix-heptad repeat 2. However, infants display higher antibody levels and more consistent antibody escape pathways in the FP region compared to mothers. Finally, infants have significantly higher levels of antibody-dependent cellular cytotoxicity (ADCC), though, surprisingly, Spike pseudovirus neutralization titers between infants and mothers are similar. These results suggest infants develop distinct SARS-CoV-2 binding and functional antibody activities and reveal age-related differences in humoral immunity to SARS-CoV-2 infection that could be relevant to protection and COVID-19 disease outcomes.
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Affiliation(s)
| | - Kevin Sung
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Zak A Yaffe
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Haidyn Weight
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Guillaume Beaudoin-Bussières
- Centre de Recherche du CHUM, Université de Montréal, Montreal, QC, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, QC, Canada
| | - Jared Galloway
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Soren Gantt
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, QC, Canada
- Centre de Recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada
| | - Judith Adhiambo
- Department of Pediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Emily R Begnel
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Ednah Ojee
- Department of Pediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Jennifer Slyker
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Dalton Wamalwa
- Department of Pediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - John Kinuthia
- Department of Global Health, University of Washington, Seattle, WA, USA
- Department of Research and Programs, Kenyatta National Hospital, Nairobi, Kenya
| | - Andrés Finzi
- Centre de Recherche du CHUM, Université de Montréal, Montreal, QC, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, QC, Canada
| | - Frederick A Matsen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Dara A Lehman
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Department of Global Health, University of Washington, Seattle, WA, USA.
| | - Julie Overbaugh
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
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Rappazzo CG, Fernández-Quintero ML, Mayer A, Wu NC, Greiff V, Guthmiller JJ. Defining and Studying B Cell Receptor and TCR Interactions. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 211:311-322. [PMID: 37459189 PMCID: PMC10495106 DOI: 10.4049/jimmunol.2300136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 04/15/2023] [Indexed: 07/20/2023]
Abstract
BCRs (Abs) and TCRs (or adaptive immune receptors [AIRs]) are the means by which the adaptive immune system recognizes foreign and self-antigens, playing an integral part in host defense, as well as the emergence of autoimmunity. Importantly, the interaction between AIRs and their cognate Ags defies a simple key-in-lock paradigm and is instead a complex many-to-many mapping between an individual's massively diverse AIR repertoire, and a similarly diverse antigenic space. Understanding how adaptive immunity balances specificity with epitopic coverage is a key challenge for the field, and terms such as broad specificity, cross-reactivity, and polyreactivity remain ill-defined and are used inconsistently. In this Immunology Notes and Resources article, a group of experimental, structural, and computational immunologists define commonly used terms associated with AIR binding, describe methodologies to study these binding modes, as well as highlight the implications of these different binding modes for therapeutic design.
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Affiliation(s)
| | | | - Andreas Mayer
- Division of Infection and Immunity, University College London, London WC1E 6BT, UK
| | - Nicholas C. Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Victor Greiff
- Department of Immunology, University of Oslo and Oslo University Hospital, 0372 Oslo, Norway
| | - Jenna J. Guthmiller
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045
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41
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Mitchell MM, Leng Y, Boppana S, Britt WJ, Gutierrez Sanchez LH, Elledge SJ. Signatures of AAV-2 immunity are enriched in children with severe acute hepatitis of unknown etiology. Sci Transl Med 2023; 15:eadh9917. [PMID: 37494473 PMCID: PMC10501808 DOI: 10.1126/scitranslmed.adh9917] [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: 03/27/2023] [Accepted: 06/21/2023] [Indexed: 07/28/2023]
Abstract
Severe acute hepatitis of unknown etiology in children is under investigation in 35 countries. Although several potential etiologic agents have been investigated, a clear cause for the liver damage observed in these cases remains to be identified. Using VirScan, a high-throughput antibody profiling technology, we probed the antibody repertoires of nine cases of severe acute hepatitis of unknown etiology treated at Children's of Alabama and compared their antibody responses with 38 pediatric and 470 adult controls. We report increased adeno-associated dependoparvovirus A (AAV-A) breadth in cases relative to controls and adeno-associated virus 2 (AAV-2) peptide responses that were conserved in seven of nine cases but rarely observed in pediatric and adult controls. These findings suggest that AAV-2 is a likely etiologic agent of severe acute hepatitis of unknown etiology.
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Affiliation(s)
- Moriah M. Mitchell
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Program in Systems, Synthetic, and Quantitative Biology, Harvard University, Boston, MA 02115, USA
| | - Yumei Leng
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Suresh Boppana
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - William J. Britt
- Division of Pediatric Infectious Diseases, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Luz Helena Gutierrez Sanchez
- Division of Gastroenterology, Hepatitis, and Nutrition, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Stephen J. Elledge
- Division of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
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42
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Williams DM, Hornsby HR, Shehata OM, Brown R, Gallis M, Meardon N, Newman TAH, Plowright M, Zafred D, Shun-Shion ASM, Hodder AJ, Bliss D, Metcalfe A, Edgar JR, Gordon DE, Sayers JR, Nicklin MJ, Carroll M, Collini PJ, Brown S, de Silva TI, Peden AA. Establishing SARS-CoV-2 membrane protein-specific antibodies as a valuable serological target via high-content microscopy. iScience 2023; 26:107056. [PMID: 37346049 PMCID: PMC10246304 DOI: 10.1016/j.isci.2023.107056] [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: 12/15/2022] [Revised: 03/31/2023] [Accepted: 06/01/2023] [Indexed: 06/23/2023] Open
Abstract
The prevalence and strength of serological responses mounted toward SARS-CoV-2 proteins other than nucleocapsid (N) and spike (S), which may be of use as additional serological markers, remains underexplored. Using high-content microscopy to assess antibody responses against full-length StrepTagged SARS-CoV-2 proteins, we found that 85% (166/196) of unvaccinated individuals with RT-PCR confirmed SARS-CoV-2 infections and 74% (31/42) of individuals infected after being vaccinated developed detectable IgG against the structural protein M, which is higher than previous estimates. Compared with N antibodies, M IgG displayed a shallower time-dependent decay and greater specificity. Sensitivity for SARS-CoV-2 seroprevalence was enhanced when N and M IgG detection was combined. These findings indicate that screening for M seroconversion may be a good approach for detecting additional vaccine breakthrough infections and highlight the potential to use HCM as a rapidly deployable method to identify the most immunogenic targets of newly emergent pathogens.
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Affiliation(s)
- Daniel M Williams
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Hailey R Hornsby
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Ola M Shehata
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Rebecca Brown
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Marta Gallis
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Naomi Meardon
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Thomas A H Newman
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Megan Plowright
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Domen Zafred
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Amber S M Shun-Shion
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Anthony J Hodder
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Deepa Bliss
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Andrew Metcalfe
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - James R Edgar
- Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK
| | - David E Gordon
- Department of Pathology, Emory University, Whitehead Building, Atlanta, GA, USA
| | - Jon R Sayers
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Martin J Nicklin
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
| | - Miles Carroll
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK
| | - Paul J Collini
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Stephen Brown
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
| | - Thushan I de Silva
- Department of Infection, Immunity and Cardiovascular Diseases, University of Sheffield Medical School, Beech Hill Road, Sheffield S10 2RX, UK
- South Yorkshire Regional Department of Infection and Tropical Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Glossop Road, Sheffield S10 2JF, UK
| | - Andrew A Peden
- School of Bioscience, University of Sheffield, Western Bank, Sheffield S10 2TN, UK
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McConnell SA, Sachithanandham J, Mudrak NJ, Zhu X, Farhang PA, Cordero RJB, Wear MP, Shapiro JR, Park HS, Klein SL, Tobian AAR, Bloch EM, Sullivan DJ, Pekosz A, Casadevall A. Spike-protein proteolytic antibodies in COVID-19 convalescent plasma contribute to SARS-CoV-2 neutralization. Cell Chem Biol 2023; 30:726-738.e4. [PMID: 37354908 PMCID: PMC10288624 DOI: 10.1016/j.chembiol.2023.05.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 03/23/2023] [Accepted: 05/26/2023] [Indexed: 06/26/2023]
Abstract
Understanding the mechanisms of antibody-mediated neutralization of SARS-CoV-2 is critical in combating the COVID-19 pandemic. Based on previous reports of antibody catalysis, we investigated the proteolysis of spike (S) by antibodies in COVID-19 convalescent plasma (CCP) and its contribution to viral neutralization. Quenched fluorescent peptides were designed based on S epitopes to sensitively detect antibody-mediated proteolysis. We observed epitope cleavage by CCP from different donors which persisted when plasma was heat-treated or when IgG was isolated from plasma. Further, purified CCP antibodies proteolyzed recombinant S domains, as well as authentic viral S. Cleavage of S variants suggests CCP antibody-mediated proteolysis is a durable phenomenon despite antigenic drift. We differentiated viral neutralization occurring via direct interference with receptor binding from that occurring by antibody-mediated proteolysis, demonstrating that antibody catalysis enhanced neutralization. These results suggest that antibody-catalyzed damage of S is an immunologically relevant function of neutralizing antibodies against SARS-CoV-2.
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Affiliation(s)
- Scott A McConnell
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Jaiprasath Sachithanandham
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Nathan J Mudrak
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Xianming Zhu
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Parsa Alba Farhang
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Radames J B Cordero
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Maggie P Wear
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Janna R Shapiro
- Department of International Health, Johns Hopkins School of Public Health, Baltimore, MD 21205, USA
| | - Han-Sol Park
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Sabra L Klein
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA; Department of International Health, Johns Hopkins School of Public Health, Baltimore, MD 21205, USA; Department of Biochemistry and Molecular Biology, Johns Hopkins School of Public Health, Baltimore, MD 21205, USA
| | - Aaron A R Tobian
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - Evan M Bloch
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
| | - David J Sullivan
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Arturo Casadevall
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
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Wong F, de la Fuente-Nunez C, Collins JJ. Leveraging artificial intelligence in the fight against infectious diseases. Science 2023; 381:164-170. [PMID: 37440620 PMCID: PMC10663167 DOI: 10.1126/science.adh1114] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 06/05/2023] [Indexed: 07/15/2023]
Abstract
Despite advances in molecular biology, genetics, computation, and medicinal chemistry, infectious disease remains an ominous threat to public health. Addressing the challenges posed by pathogen outbreaks, pandemics, and antimicrobial resistance will require concerted interdisciplinary efforts. In conjunction with systems and synthetic biology, artificial intelligence (AI) is now leading to rapid progress, expanding anti-infective drug discovery, enhancing our understanding of infection biology, and accelerating the development of diagnostics. In this Review, we discuss approaches for detecting, treating, and understanding infectious diseases, underscoring the progress supported by AI in each case. We suggest future applications of AI and how it might be harnessed to help control infectious disease outbreaks and pandemics.
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Affiliation(s)
- Felix Wong
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Institute for Medical Engineering & Science and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Cesar de la Fuente-Nunez
- Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA
- Penn Institute for Computational Science, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - James J. Collins
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Institute for Medical Engineering & Science and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA
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45
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Stražar M, Park J, Abelin JG, Taylor HB, Pedersen TK, Plichta DR, Brown EM, Eraslan B, Hung YM, Ortiz K, Clauser KR, Carr SA, Xavier RJ, Graham DB. HLA-II immunopeptidome profiling and deep learning reveal features of antigenicity to inform antigen discovery. Immunity 2023; 56:1681-1698.e13. [PMID: 37301199 PMCID: PMC10519123 DOI: 10.1016/j.immuni.2023.05.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 02/08/2023] [Accepted: 05/11/2023] [Indexed: 06/12/2023]
Abstract
CD4+ T cell responses are exquisitely antigen specific and directed toward peptide epitopes displayed by human leukocyte antigen class II (HLA-II) on antigen-presenting cells. Underrepresentation of diverse alleles in ligand databases and an incomplete understanding of factors affecting antigen presentation in vivo have limited progress in defining principles of peptide immunogenicity. Here, we employed monoallelic immunopeptidomics to identify 358,024 HLA-II binders, with a particular focus on HLA-DQ and HLA-DP. We uncovered peptide-binding patterns across a spectrum of binding affinities and enrichment of structural antigen features. These aspects underpinned the development of context-aware predictor of T cell antigens (CAPTAn), a deep learning model that predicts peptide antigens based on their affinity to HLA-II and full sequence of their source proteins. CAPTAn was instrumental in discovering prevalent T cell epitopes from bacteria in the human microbiome and a pan-variant epitope from SARS-CoV-2. Together CAPTAn and associated datasets present a resource for antigen discovery and the unraveling genetic associations of HLA alleles with immunopathologies.
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Affiliation(s)
- Martin Stražar
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jihye Park
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Hannah B Taylor
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Thomas K Pedersen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Technical University of Denmark, Kongens Lyngby, Denmark
| | | | - Eric M Brown
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Basak Eraslan
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Yuan-Mao Hung
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Kayla Ortiz
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Karl R Clauser
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Steven A Carr
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Daniel B Graham
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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46
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López-Muñoz AD, Santos JJS, Yewdell JW. Cell surface nucleocapsid protein expression: A betacoronavirus immunomodulatory strategy. Proc Natl Acad Sci U S A 2023; 120:e2304087120. [PMID: 37399385 PMCID: PMC10334784 DOI: 10.1073/pnas.2304087120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 06/08/2023] [Indexed: 07/05/2023] Open
Abstract
We recently reported that SARS-CoV-2 nucleocapsid (N) protein is abundantly expressed on the surface of both infected and neighboring uninfected cells, where it enables activation of Fc receptor-bearing immune cells with anti-N antibodies (Abs) and inhibits leukocyte chemotaxis by binding chemokines (CHKs). Here, we extend these findings to N from the common cold human coronavirus (HCoV)-OC43, which is also robustly expressed on the surface of infected and noninfected cells by binding heparan sulfate/heparin (HS/H). HCoV-OC43 N binds with high affinity to the same set of 11 human CHKs as SARS-CoV-2 N, but also to a nonoverlapping set of six cytokines. As with SARS-CoV-2 N, HCoV-OC43 N inhibits CXCL12β-mediated leukocyte migration in chemotaxis assays, as do all highly pathogenic and common cold HCoV N proteins. Together, our findings indicate that cell surface HCoV N plays important evolutionarily conserved roles in manipulating host innate immunity and as a target for adaptive immunity.
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Affiliation(s)
- Alberto Domingo López-Muñoz
- Cellular Biology Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases National Institutes of Health, Bethesda, MD20892
| | - Jefferson J. S. Santos
- Cellular Biology Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases National Institutes of Health, Bethesda, MD20892
| | - Jonathan W. Yewdell
- Cellular Biology Section, Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases National Institutes of Health, Bethesda, MD20892
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47
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Jang H, Choudhury S, Yu Y, Sievers BL, Gelbart T, Singh H, Rawlings SA, Proal A, Tan GS, Qian Y, Smith D, Freire M. Persistent immune and clotting dysfunction detected in saliva and blood plasma after COVID-19. Heliyon 2023; 9:e17958. [PMID: 37483779 PMCID: PMC10362241 DOI: 10.1016/j.heliyon.2023.e17958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/21/2023] [Accepted: 07/03/2023] [Indexed: 07/25/2023] Open
Abstract
A growing number of studies indicate that coronavirus disease 2019 (COVID-19) is associated with inflammatory sequelae, but molecular signatures governing the normal versus pathologic convalescence process have not been well-delineated. Here, we characterized global immune and proteome responses in matched plasma and saliva samples obtained from COVID-19 patients collected between 20 and 90 days after initial clinical symptoms resolved. Convalescent subjects showed robust total IgA and IgG responses and positive antibody correlations in saliva and plasma samples. Shotgun proteomics revealed persistent inflammatory patterns in convalescent samples including dysfunction of salivary innate immune cells, such as neutrophil markers (e.g., myeloperoxidase), and clotting factors in plasma (e.g., fibrinogen), with positive correlations to acute COVID-19 disease severity. Saliva samples were characterized by higher concentrations of IgA, and proteomics showed altered myeloid-derived pathways that correlated positively with SARS-CoV-2 IgA levels. Beyond plasma, our study positions saliva as a viable fluid to monitor normal and aberrant immune responses including vascular, inflammatory, and coagulation-related sequelae.
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Affiliation(s)
- Hyesun Jang
- Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA, and Rockville, MD, USA
| | | | - Yanbao Yu
- Department of Chemistry & Biochemistry, University of Delaware, Newark, DE, USA, 19716
| | - Benjamin L Sievers
- Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA, and Rockville, MD, USA
| | - Terri Gelbart
- Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA, and Rockville, MD, USA
| | - Harinder Singh
- Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA, and Rockville, MD, USA
| | - Stephen A Rawlings
- MMP Adult Infectious Disease, Maine Medical Center, South Portland, ME, 04106, USA
| | - Amy Proal
- PolyBio Research Foundation. Mercer Island, WA, USA
| | - Gene S Tan
- Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA, and Rockville, MD, USA
- Division of Infectious Diseases and Global Public Health Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Yu Qian
- Informatics, J. Craig Venter Institute, La Jolla, CA, and Rockville, MD, USA
| | - Davey Smith
- Division of Infectious Diseases and Global Public Health Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Marcelo Freire
- Genomic Medicine and Infectious Diseases, J. Craig Venter Institute, La Jolla, CA, and Rockville, MD, USA
- Division of Infectious Diseases and Global Public Health Department of Medicine, University of California San Diego, La Jolla, CA, USA
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48
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Liang S, Gao H, He T, Li L, Zhang X, Zhao L, Chen J, Xie Y, Bao J, Gao Y, Dai E, Wang Y. Association between SUMF1 polymorphisms and COVID-19 severity. BMC Genom Data 2023; 24:34. [PMID: 37344788 DOI: 10.1186/s12863-023-01133-6] [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: 10/29/2022] [Accepted: 05/22/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND Evidence shows that genetic factors play important roles in the severity of coronavirus disease 2019 (COVID-19). Sulfatase modifying factor 1 (SUMF1) gene is involved in alveolar damage and systemic inflammatory response. Therefore, we speculate that it may play a key role in COVID-19. RESULTS We found that rs794185 was significantly associated with COVID-19 severity in Chinese population, under the additive model after adjusting for gender and age (for C allele = 0.62, 95% CI = 0.44-0.88, P = 0.0073, logistic regression). And this association was consistent with this in European population Genetics Of Mortality In Critical Care (GenOMICC: OR for C allele = 0.94, 95% CI = 0.90-0.98, P = 0.0037). Additionally, we also revealed a remarkable association between rs794185 and the prothrombin activity (PTA) in subjects (P = 0.015, Generalized Linear Model). CONCLUSIONS In conclusion, our study for the first time identified that rs794185 in SUMF1 gene was associated with the severity of COVID-19.
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Affiliation(s)
- Shaohui Liang
- Department of Respiratory, Hebei Chest Hospital, Shijiazhuang, 050000, Hebei, China
| | - Huixia Gao
- Department of Laboratory Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China
| | - Tongxin He
- College of Plant Protection, Hunan Agricultural University, Changsha, 410128, Hunan, China
| | - Li Li
- Intensive Care Unit, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China
| | - Xin Zhang
- Department of Tuberculosis, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China
| | - Lei Zhao
- The Second Internal Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China
| | - Jie Chen
- Graduate School of Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Yanyan Xie
- Graduate School of Hebei Medical University, Shijiazhuang, 050017, Hebei, China
| | - Jie Bao
- Department of Respiratory, Hebei Chest Hospital, Shijiazhuang, 050000, Hebei, China
| | - Yong Gao
- Department of Respiratory, Hebei Chest Hospital, Shijiazhuang, 050000, Hebei, China
| | - Erhei Dai
- Department of Laboratory Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China.
| | - Yuling Wang
- Department of Tuberculosis, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, 050021, Hebei, China.
- Graduate School of Hebei Medical University, Shijiazhuang, 050017, Hebei, China.
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49
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Chowdhury R, Taguchi AT, Kelbauskas L, Stafford P, Diehnelt C, Zhao ZG, Williamson PC, Green V, Woodbury NW. Modeling the sequence dependence of differential antibody binding in the immune response to infectious disease. PLoS Comput Biol 2023; 19:e1010773. [PMID: 37339137 DOI: 10.1371/journal.pcbi.1010773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 05/15/2023] [Indexed: 06/22/2023] Open
Abstract
Past studies have shown that incubation of human serum samples on high density peptide arrays followed by measurement of total antibody bound to each peptide sequence allows detection and discrimination of humoral immune responses to a variety of infectious diseases. This is true even though these arrays consist of peptides with near-random amino acid sequences that were not designed to mimic biological antigens. This "immunosignature" approach, is based on a statistical evaluation of the binding pattern for each sample but it ignores the information contained in the amino acid sequences that the antibodies are binding to. Here, similar array-based antibody profiles are instead used to train a neural network to model the sequence dependence of molecular recognition involved in the immune response of each sample. The binding profiles used resulted from incubating serum from 5 infectious disease cohorts (Hepatitis B and C, Dengue Fever, West Nile Virus and Chagas disease) and an uninfected cohort with 122,926 peptide sequences on an array. These sequences were selected quasi-randomly to represent an even but sparse sample of the entire possible combinatorial sequence space (~1012). This very sparse sampling of combinatorial sequence space was sufficient to capture a statistically accurate representation of the humoral immune response across the entire space. Processing array data using the neural network not only captures the disease-specific sequence-binding information but aggregates binding information with respect to sequence, removing sequence-independent noise and improving the accuracy of array-based classification of disease compared with the raw binding data. Because the neural network model is trained on all samples simultaneously, a highly condensed representation of the differential information between samples resides in the output layer of the model, and the column vectors from this layer can be used to represent each sample for classification or unsupervised clustering applications.
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Affiliation(s)
- Robayet Chowdhury
- Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, fsupArizona, United States of America
- School of Molecular Sciences, Arizona State University, Tempe, Arizona, United States of America
| | | | - Laimonas Kelbauskas
- Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, fsupArizona, United States of America
| | - Phillip Stafford
- Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, fsupArizona, United States of America
| | - Chris Diehnelt
- Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, fsupArizona, United States of America
| | - Zhan-Gong Zhao
- Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, fsupArizona, United States of America
| | | | - Valerie Green
- Creative Testing Solutions, Tempe, Arizona, United States of America
| | - Neal W Woodbury
- Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, fsupArizona, United States of America
- School of Molecular Sciences, Arizona State University, Tempe, Arizona, United States of America
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Rathore APS, St John AL. Promises and challenges of mucosal COVID-19 vaccines. Vaccine 2023; 41:4042-4049. [PMID: 37045682 PMCID: PMC10083204 DOI: 10.1016/j.vaccine.2023.04.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/29/2023] [Accepted: 04/04/2023] [Indexed: 04/14/2023]
Abstract
Coronavirus disease-2019 (COVID-19) is an ongoing pandemic caused by the newly emerged virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Currently, COVID-19 vaccines are given intramuscularly and they have been shown to evoke systemic immune responses that are highly efficacious towards preventing severe disease and death. However, vaccine-induced immunity wanes within a short time, and booster doses are currently recommended. Furthermore, current vaccine formulations do not adequately restrict virus infection at the mucosal sites, such as in the nasopharyngeal tract and, therefore, have limited capacity to block virus transmission. With these challenges in mind, several mucosal vaccines are currently being developed with the aim of inducing long-lasting protective immune responses at the mucosal sites where SARS-COV-2 infection begins. Past successes in mucosal vaccinations underscore the potential of these developmental stage SARS-CoV-2 vaccines to reduce disease burden, if not eliminate it altogether. Here, we discuss immune responses that are triggered at the mucosal sites and recent advances in our understanding of mucosal responses induced by SARS-CoV-2 infection and current COVID-19 vaccines. We also highlight several mucosal SARS-COV-2 vaccine formulations that are currently being developed or tested for human use and discuss potential challenges to mucosal vaccination.
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Affiliation(s)
- Abhay P S Rathore
- Department of Pathology, Duke University Medical Center, Durham, North Carolina 27705, USA
| | - Ashley L St John
- Department of Pathology, Duke University Medical Center, Durham, North Carolina 27705, USA; Program in Emerging Infectious Diseases, Duke-National University of Singapore Medical School, 169857 Singapore, Singapore; Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; SingHealth Duke-NUS Global Health Institute, Singapore.
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