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Zhu X, Ma E, Ning K, Feng X, Quan W, Wang F, Zhu C, Ma Y, Dong Y, Jiang Q. A comparative analysis of TCR immune repertoire in COVID-19 patients. Hum Immunol 2024; 85:110795. [PMID: 38582657 DOI: 10.1016/j.humimm.2024.110795] [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: 07/26/2023] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 04/08/2024]
Abstract
The coronavirus disease 2019 (COVID-19) has merged as a global health threat since its outbreak in December 2019. Despite widespread recognition, there has been a paucity of studies focusing on the T cell receptor (TCR) bias in adaptive immunity induced by SARS-CoV-2. This research conducted a comparative analysis of the TCR immune repertoire to identify notable αβ TCR bias sequences associated with the SARS-CoV-2 virus antigen. The present study encompassed 73 symptomatic COVID-19 patients, categorized as moderate/mild or severe/critical, along with 9 healthy controls. Our findings revealed specific TCR chains prominently utilized by moderate and severe patients, identified as TRAV30-J34-TRBV3-1-J2-7 and TRAV12-3-J6-TRBV28-J1-1, respectively. Additionally, our research explored critical TCR preferences in the bronchoalveolar lavage fluid (BALF) of COVID-19 patients at various disease stages. Indeed, monitoring the dynamics of immune repertoire changes in COVID-19 patients could serve as a crucial biomarker for predicting disease progression and recovery. Furthermore, the study explored TCR bias in both peripheral blood mononuclear cells (PBMCs) and BALF. The most common αβ VJ pair observed in BALF was TRAV12-3-J18-TRBV7-6-J2-7. In addition, a comparative analysis with the VDJdb database indicated that the HLA-A*02:01 allele exhibited the widest distribution and highest frequency in COVID-19 patients across different periods. This comprehensive examination provided a global characterization of the TCR immune repertoire in COVID-19 patients, contributing significantly to our understanding of TCR bias induced by SARS-CoV-2.
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MESH Headings
- Humans
- COVID-19/immunology
- SARS-CoV-2/immunology
- Male
- Female
- Middle Aged
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/immunology
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Adult
- Bronchoalveolar Lavage Fluid/immunology
- Aged
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/metabolism
- Adaptive Immunity/immunology
- Severity of Illness Index
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Affiliation(s)
- Xiao Zhu
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China; Lead Contact.
| | - Enze Ma
- School of Computer Science and Information Engineering, Harbin Normal University, Harbin, Heilongjiang, China
| | - Ke Ning
- School of Computer Science and Information Engineering, Harbin Normal University, Harbin, Heilongjiang, China
| | - Xiangyan Feng
- Department of Hematology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, Shandong, China.
| | - Wei Quan
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China
| | - Fei Wang
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China
| | - Chaoqun Zhu
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China
| | - Yuanjun Ma
- School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China
| | - Yucui Dong
- Department of Immunology, Binzhou Medical University, Yantai, Shandong, China
| | - Qinghua Jiang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, China.
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2
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Korosec CS, Dick DW, Moyles IR, Watmough J. SARS-CoV-2 booster vaccine dose significantly extends humoral immune response half-life beyond the primary series. Sci Rep 2024; 14:8426. [PMID: 38637521 PMCID: PMC11026522 DOI: 10.1038/s41598-024-58811-3] [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: 03/01/2024] [Accepted: 04/03/2024] [Indexed: 04/20/2024] Open
Abstract
SARS-CoV-2 lipid nanoparticle mRNA vaccines continue to be administered as the predominant prophylactic measure to reduce COVID-19 disease pathogenesis. Quantifying the kinetics of the secondary immune response from subsequent doses beyond the primary series and understanding how dose-dependent immune waning kinetics vary as a function of age, sex, and various comorbidities remains an important question. We study anti-spike IgG waning kinetics in 152 individuals who received an mRNA-based primary series (first two doses) and a subset of 137 individuals who then received an mRNA-based booster dose. We find the booster dose elicits a 71-84% increase in the median Anti-S half life over that of the primary series. We find the Anti-S half life for both primary series and booster doses decreases with age. However, we stress that although chronological age continues to be a good proxy for vaccine-induced humoral waning, immunosenescence is likely not the mechanism, rather, more likely the mechanism is related to the presence of noncommunicable diseases, which also accumulate with age, that affect immune regulation. We are able to independently reproduce recent observations that those with pre-existing asthma exhibit a stronger primary series humoral response to vaccination than compared to those that do not, and further, we find this result is sustained for the booster dose. Finally, via a single-variate Kruskal-Wallis test we find no difference between male and female humoral decay kinetics, however, a multivariate approach utilizing Least Absolute Shrinkage and Selection Operator (LASSO) regression for feature selection reveals a statistically significant (p < 1 × 10 - 3 ), albeit small, bias in favour of longer-lasting humoral immunity amongst males.
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Affiliation(s)
- Chapin S Korosec
- Modelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, M3J 1P3, ON, Canada.
- Centre for Disease Modelling, Mathematics and Statistics, York University, 4700 Keele St, Toronto, M3J 1P3, ON, Canada.
| | - David W Dick
- Modelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, M3J 1P3, ON, Canada.
- Centre for Disease Modelling, Mathematics and Statistics, York University, 4700 Keele St, Toronto, M3J 1P3, ON, Canada.
| | - Iain R Moyles
- Modelling Infection and Immunity Lab, Mathematics and Statistics, York University, 4700 Keele St, Toronto, M3J 1P3, ON, Canada
- Centre for Disease Modelling, Mathematics and Statistics, York University, 4700 Keele St, Toronto, M3J 1P3, ON, Canada
| | - James Watmough
- Department of Mathematics and Statistics, University of New Brunswick, 3 Bailey Dr, Fredericton, E3B 5A3, NB, Canada
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3
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Lineburg KE, Crooks P, Raju J, Le Texier L, Khaledi P, Berry K, Swaminathan S, Panikkar A, Rehan S, Guppy-Coles K, Neller MA, Khanna R, Smith C. Breakthrough SARS-COV-2 infection induces broad anti-viral T cell immunity. iScience 2023; 26:108474. [PMID: 38077128 PMCID: PMC10698266 DOI: 10.1016/j.isci.2023.108474] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/11/2023] [Accepted: 11/13/2023] [Indexed: 05/18/2024] Open
Abstract
Vaccines have curtailed the devastation wrought by COVID-19. Nevertheless, emerging variants result in a high incidence of breakthrough infections. Here we assess the impact of vaccination and breakthrough infection on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) T cell immunity. We demonstrate that COVID-19 vaccination induces robust spike-specific T cell responses that, within the CD4+ compartment, display comparable IFN-γ responses to SARS-CoV-2 infection without vaccination. Vaccine-induced CD8+ IFN-γ responses however, were significantly greater than those primed by SARS-CoV-2 infection alone. This increased responsiveness is associated with induction of novel HLA-restricted CD8+ T cell epitopes not primed by infection alone (without vaccination). Despite these augmented responses, breakthrough infection still induced de novo T cell responses against additional SARS-CoV-2 CD8+ epitopes that display HLA-associated immunodominance hierarchies consistent with those in unvaccinated COVID-19 convalescent individuals. This study demonstrates the unique modulation of anti-viral T cell responses against multiple viral antigens following consecutive yet distinct priming events in COVID-19 vaccination and breakthrough infection.
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Affiliation(s)
- Katie Eireann Lineburg
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Pauline Crooks
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Jyothy Raju
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Laetitia Le Texier
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Panteha Khaledi
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Kiana Berry
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
- Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia
| | - Srividhya Swaminathan
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
- Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia
| | - Archana Panikkar
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Sweera Rehan
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Kristyan Guppy-Coles
- Cardiology, Royal Brisbane and Women’s Hospital, Metro North Hospital and Health Services, Queensland Health, QLD 4006, Australia
| | - Michelle Anne Neller
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Rajiv Khanna
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Corey Smith
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Infection and Inflammation Program, QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
- Faculty of Medicine, The University of Queensland, Herston, QLD 4006, Australia
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4
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Wang H, Ji Z. T-cell receptor sequences correlate with and predict gene expression levels in T cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.27.568912. [PMID: 38076860 PMCID: PMC10705237 DOI: 10.1101/2023.11.27.568912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
T cells exhibit high heterogeneity in both their gene expression profiles and antigen specificities. We analyzed fifteen single-cell immune profiling datasets to systematically investigate the association between T-cell receptor (TCR) sequences and the gene expression profiles of T cells. Our findings reveal that T cells sharing identical or similar TCR sequences tend to have highly similar gene expression profiles. Additionally, we developed a foundational model that leverages TCR information to predict gene expression levels in T cells.
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Affiliation(s)
- Hao Wang
- Department of Statistical Science, Duke University, Durham, NC, USA
| | - Zhicheng Ji
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
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5
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Wang Y, Luu LDW, Liu S, Zhu X, Huang S, Li F, Huang X, Guo L, Zhang J, Ge H, Sun Y, Hui Y, Qu Y, Wang H, Wang X, Na W, Zhou J, Qu D, Tai J. Single-cell transcriptomic analysis reveals a systemic immune dysregulation in COVID-19-associated pediatric encephalopathy. Signal Transduct Target Ther 2023; 8:398. [PMID: 37848421 PMCID: PMC10582072 DOI: 10.1038/s41392-023-01641-y] [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: 04/01/2023] [Revised: 07/31/2023] [Accepted: 09/01/2023] [Indexed: 10/19/2023] Open
Abstract
Unraveling the molecular mechanisms for COVID-19-associated encephalopathy and its immunopathology is crucial for developing effective treatments. Here, we utilized single-cell transcriptomic analysis and integrated clinical observations and laboratory examination to dissect the host immune responses and reveal pathological mechanisms in COVID-19-associated pediatric encephalopathy. We found that lymphopenia was a prominent characteristic of immune perturbation in COVID-19 patients with encephalopathy, especially those with acute necrotizing encephalopathy (AE). This was characterized a marked reduction of various lymphocytes (e.g., CD8+ T and CD4+ T cells) and significant increases in other inflammatory cells (e.g., monocytes). Further analysis revealed activation of multiple cell apoptosis pathways (e.g., granzyme/perforin-, FAS- and TNF-induced apoptosis) may be responsible for lymphopenia. A systemic S100A12 upregulation, primarily from classical monocytes, may have contributed to cytokine storms in patients with AE. A dysregulated type I interferon (IFN) response was observed which may have further exacerbated the S100A12-driven inflammation in patients with AE. In COVID-19 patients with AE, myeloid cells (e.g., monocytic myeloid-derived suppressor cells) were the likely contributors to immune paralysis. Finally, the immune landscape in COVID-19 patients with encephalopathy, especially for AE, were also characterized by NK and T cells with widespread exhaustion, higher cytotoxic scores and inflammatory response as well as a dysregulated B cell-mediated humoral immune response. Taken together, this comprehensive data provides a detailed resource for elucidating immunopathogenesis and will aid development of effective COVID-19-associated pediatric encephalopathy treatments, especially for those with AE.
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Affiliation(s)
- Yi Wang
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, 100020, P.R. China.
| | | | - Shuang Liu
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Xiong Zhu
- Central & Clinical Laboratory of Sanya People's Hospital, Sanya, Hainan, 572000, P. R. China
| | - Siyuan Huang
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Fang Li
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Xiaolan Huang
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Linying Guo
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Jin Zhang
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Haiyan Ge
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Yuanyuan Sun
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Yi Hui
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Yanning Qu
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Huicong Wang
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Xiaoxia Wang
- Central & Clinical Laboratory of Sanya People's Hospital, Sanya, Hainan, 572000, P. R. China
| | - Weilan Na
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Juan Zhou
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, 100020, P.R. China
| | - Dong Qu
- Department of Critical Medicine, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China.
| | - Jun Tai
- Department of Otorhinolaryngology Head and Neck Surgery, Children's Hospital Affiliated Capital Institute of Pediatrics, Beijing, 100020, P.R. China.
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6
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Fan R, Cheng Z, Huang Z, Yang Y, Sun N, Hu B, Hou P, Liu B, Huang C, Liu S. TREM-1, TREM-2 and their association with disease severity in patients with COVID-19. Ann Med 2023; 55:2269558. [PMID: 37848000 PMCID: PMC10583614 DOI: 10.1080/07853890.2023.2269558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/28/2023] [Indexed: 10/19/2023] Open
Abstract
BACKGROUND Delayed diagnosis and inadequate treatment caused by limited biomarkers are associated with the outcomes of COVID-19 patients. It is necessary to identify other promising biomarkers and candidate targets for defining dysregulated inflammatory states. METHODS The triggering receptors expressed on myeloid cell (TREM)-1 and TREM-2 expression from hospitalized COVID-19 patients were characterized using ELISA and flow cytometry, respectively. Their correlation with disease severity and contrast with the main clinical indicators were evaluated. RESULTS Increased expression of soluble TREM-1 and TREM-2 in the plasma of COVID-19 patients was found compared to the control group. Moreover, membrane-bound TREM-1 and TREM-2 expression was upregulated on the cell surface of circulating blood T cells from COVID-19 patients. Correlation analysis showed that sTREM-2 levels were negatively correlated with PaO2/FiO2, but positively correlated with C-reactive protein (CRP), procalcitonin (PCT) and interleukin (IL)-6 levels. Receiver operating characteristic curve analysis indicated that the predictive efficacy of sTREM-1 and sTREM-2 was equivalent to CRP and IL-6, and a little better than absolute leukocyte or neutrophil count and PCT in distinguishing disease severity. CONCLUSION TREM-2 and TREM-1 are critical host immune factors that response to SARS-COV-2 infection and could serve as potential diagnostic biomarkers and therapeutic targets for COVID-19.
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Affiliation(s)
- Ruyue Fan
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Zuowang Cheng
- Department of Clinical Laboratory, Zhangqiu District People’s Hospital Affiliated to Jining Medical University, Jinan, China
| | - Zhisheng Huang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Department of Pulmonary and Critical Care Medicine, National Regional Center for Respiratory Medicine, Jiangxi Hospital of China-Japan Friendship Hospital, Nanchang, China
| | - Ying Yang
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Na Sun
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Bin Hu
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Peibin Hou
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Bo Liu
- Department of Pulmonary and Critical Care Medicine, Zibo Municipal Hospital, Zibo, China
| | - Chuanjun Huang
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Shuai Liu
- Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
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7
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Feng B, Zheng D, Yang L, Su Z, Tang L, Zhu Y, Xu X, Wang Q, Lin Q, Hu J, Lin M, Huang L, Zhou X, Liu H, Li S, Pan W, Shi R, Lu Y, Wu B, Ding B, Wang Z, Guo J, Zhang Z, Zheng G, Liu Y. Post-hospitalization rehabilitation alleviates long-term immune repertoire alteration in COVID-19 convalescent patients. Cell Prolif 2023; 56:e13450. [PMID: 36938980 PMCID: PMC10542649 DOI: 10.1111/cpr.13450] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/27/2023] [Accepted: 03/02/2023] [Indexed: 03/21/2023] Open
Abstract
The global pandemic of Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an once-in-a-lifetime public health crisis. Among hundreds of millions of people who have contracted with or are being infected with COVID-19, the question of whether COVID-19 infection may cause long-term health concern, even being completely recovered from the disease clinically, especially immune system damage, needs to be addressed. Here, we performed seven-chain adaptome immune repertoire analyses on convalescent COVID-19 patients who have been discharged from hospitals for at least 6 months. Surprisingly, we discovered lymphopenia, reduced number of unique CDR3s, and reduced diversity of the TCR/BCR immune repertoire in convalescent COVID-19 patients. In addition, the BCR repertoire appears to be activated, which is consistent with the protective antibody titres, but serological experiments reveal significantly lower IL-4 and IL-7 levels in convalescent patients compared to those in healthy controls. Finally, in comparison with convalescent patients who did not receive post-hospitalization rehabilitation, the convalescent patients who received post-hospitalization rehabilitation had attenuated immune repertoire abnormality, almost back to the level of healthy control, despite no detectable clinic demographic difference. Overall, we report the potential long-term immunological impairment for COVID-19 infection, and correction of this impairment via post-hospitalization rehabilitation may offer a new prospect for COVID-19 recovery strategy.
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8
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Xu J, Li XX, Yuan N, Li C, Yang JG, Cheng LM, Lu ZX, Hou HY, Zhang B, Hu H, Qian Y, Liu XX, Li GC, Wang YD, Chu M, Dong CR, Liu F, Ge QG, Yang YJ. T cell receptor β repertoires in patients with COVID-19 reveal disease severity signatures. Front Immunol 2023; 14:1190844. [PMID: 37475855 PMCID: PMC10355153 DOI: 10.3389/fimmu.2023.1190844] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/06/2023] [Indexed: 07/22/2023] Open
Abstract
Background The immune responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are crucial in maintaining a delicate balance between protective effects and harmful pathological reactions that drive the progression of coronavirus disease 2019 (COVID-19). T cells play a significant role in adaptive antiviral immune responses, making it valuable to investigate the heterogeneity and diversity of SARS-CoV-2-specific T cell responses in COVID-19 patients with varying disease severity. Methods In this study, we employed high-throughput T cell receptor (TCR) β repertoire sequencing to analyze TCR profiles in the peripheral blood of 192 patients with COVID-19, including those with moderate, severe, or critical symptoms, and compared them with 81 healthy controls. We specifically focused on SARS-CoV-2-associated TCR clonotypes. Results We observed a decrease in the diversity of TCR clonotypes in COVID-19 patients compared to healthy controls. However, the overall abundance of dominant clones increased with disease severity. Additionally, we identified significant differences in the genomic rearrangement of variable (V), joining (J), and VJ pairings between the patient groups. Furthermore, the SARS-CoV-2-associated TCRs we identified enabled accurate differentiation between COVID-19 patients and healthy controls (AUC > 0.98) and distinguished those with moderate symptoms from those with more severe forms of the disease (AUC > 0.8). These findings suggest that TCR repertoires can serve as informative biomarkers for monitoring COVID-19 progression. Conclusions Our study provides valuable insights into TCR repertoire signatures that can be utilized to assess host immunity to COVID-19. These findings have important implications for the use of TCR β repertoires in monitoring disease development and indicating disease severity.
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Affiliation(s)
- Jing Xu
- State Key Laboratory of Cardiovascular Diseases, Fuwai Hospital & National Center for Cardiovascular Diseases, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Xiao-xiao Li
- Department of Pharmacy and Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China
| | - Na Yuan
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Chao Li
- Department of Pharmacy and Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China
| | - Jin-gang Yang
- State Key Laboratory of Cardiovascular Diseases, Fuwai Hospital & National Center for Cardiovascular Diseases, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Li-ming Cheng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhong-xin Lu
- Department of Medical Laboratory, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hong-yan Hou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bo Zhang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Hu
- Department of Medical Laboratory, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Qian
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xin-xuan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Guo-chao Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- China National Center for Bioinformation, Beijing, China
| | - Yue-dan Wang
- Department of Immunology, School of Basic Medical Sciences, Peking University, NHC Key Laboratory of Medical Immunology (Peking University), Beijing, China
| | - Ming Chu
- Department of Immunology, School of Basic Medical Sciences, Peking University, NHC Key Laboratory of Medical Immunology (Peking University), Beijing, China
| | - Chao-ran Dong
- Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fan Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
- Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Saudi Arabia
| | - Qing-gang Ge
- Department of Pharmacy and Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China
| | - Yue-jin Yang
- State Key Laboratory of Cardiovascular Diseases, Fuwai Hospital & National Center for Cardiovascular Diseases, Beijing, China
- Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
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9
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Ren JX, Gao Q, Zhou XC, Chen L, Guo W, Feng KY, Lu L, Huang T, Cai YD. Identification of Gene Markers Associated with COVID-19 Severity and Recovery in Different Immune Cell Subtypes. BIOLOGY 2023; 12:947. [PMID: 37508378 PMCID: PMC10376631 DOI: 10.3390/biology12070947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 06/20/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023]
Abstract
As COVID-19 develops, dynamic changes occur in the patient's immune system. Changes in molecular levels in different immune cells can reflect the course of COVID-19. This study aims to uncover the molecular characteristics of different immune cell subpopulations at different stages of COVID-19. We designed a machine learning workflow to analyze scRNA-seq data of three immune cell types (B, T, and myeloid cells) in four levels of COVID-19 severity/outcome. The datasets for three cell types included 403,700 B-cell, 634,595 T-cell, and 346,547 myeloid cell samples. Each cell subtype was divided into four groups, control, convalescence, progression mild/moderate, and progression severe/critical, and each immune cell contained 27,943 gene features. A feature analysis procedure was applied to the data of each cell type. Irrelevant features were first excluded according to their relevance to the target variable measured by mutual information. Then, four ranking algorithms (last absolute shrinkage and selection operator, light gradient boosting machine, Monte Carlo feature selection, and max-relevance and min-redundancy) were adopted to analyze the remaining features, resulting in four feature lists. These lists were fed into the incremental feature selection, incorporating three classification algorithms (decision tree, k-nearest neighbor, and random forest) to extract key gene features and construct classifiers with superior performance. The results confirmed that genes such as PFN1, RPS26, and FTH1 played important roles in SARS-CoV-2 infection. These findings provide a useful reference for the understanding of the ongoing effect of COVID-19 development on the immune system.
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Affiliation(s)
- Jing-Xin Ren
- School of Life Sciences, Shanghai University, Shanghai 200444, China
| | - Qian Gao
- Department of Pharmacy, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Xiao-Chao Zhou
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200025, China
| | - Lei Chen
- College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
| | - Wei Guo
- Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine (SJTUSM) & Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS), Shanghai 200030, China
| | - Kai-Yan Feng
- Department of Computer Science, Guangdong AIB Polytechnic College, Guangzhou 510507, China
| | - Lin Lu
- Department of Radiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Tao Huang
- Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai 200444, China
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10
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Akter R, Rahman MR, Ahmed ZS, Afrose A. Plausibility of natural immunomodulators in the treatment of COVID-19-A comprehensive analysis and future recommendations. Heliyon 2023; 9:e17478. [PMID: 37366526 PMCID: PMC10284624 DOI: 10.1016/j.heliyon.2023.e17478] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 06/15/2023] [Accepted: 06/19/2023] [Indexed: 06/28/2023] Open
Abstract
The COVID-19 pandemic has inflicted millions of deaths worldwide. Despite the availability of several vaccines and some special drugs approved for emergency use to prevent or treat this disease still, there is a huge concern regarding their effectiveness, adverse effects, and most importantly, their efficacy against the new variants. A cascade of immune-inflammatory responses is involved with the pathogenesis and severe complications with COVID-19. People with dysfunctional and compromised immune systems display severe complications, including acute respiratory distress syndrome, sepsis, multiple organ failure etc., when they get infected with the SARS-CoV-2 virus. Plant-derived natural immune-suppressant compounds, such as resveratrol, quercetin, curcumin, berberine, luteolin, etc., have been reported to inhibit pro-inflammatory cytokines and chemokines. Therefore, natural products with immunomodulatory and anti-inflammatory potential could be plausible targets to treat this contagious disease. This review aims to delineate the clinical trials status and outcomes of natural compounds with immunomodulatory potential in COVID-19 patients along with the outcomes of their in-vivo studies. In clinical trials several natural immunomodulators resulted in significant improvement of COVID-19 patients by diminishing COVID-19 symptoms such as fever, cough, sore throat, and breathlessness. Most importantly, they reduced the duration of hospitalization and the need for supplemental oxygen therapy, improved clinical outcomes in patients with COVID-19, especially weakness, and eliminated acute lung injury and acute respiratory distress syndrome. This paper also discusses many potent natural immunomodulators yet to undergo clinical trials. In-vivo studies with natural immunomodulators demonstrated reduction of a wide range of proinflammatory cytokines. Natural immunomodulators that were found effective, safe, and well tolerated in small-scale clinical trials are warranted to undergo large-scale trials to be used as drugs to treat COVID-19 infections. Alongside, compounds yet to test clinically must undergo clinical trials to find their effectiveness and safety in the treatment of COVID-19 patients.
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Affiliation(s)
- Raushanara Akter
- School of Pharmacy, Brac University, 66 Mohakhali, Dhaka, Bangladesh
| | - Md Rashidur Rahman
- Department of Pharmacy, Faculty of Biological Science and Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh
| | - Zainab Syed Ahmed
- School of Pharmacy, Brac University, 66 Mohakhali, Dhaka, Bangladesh
| | - Afrina Afrose
- School of Pharmacy, Brac University, 66 Mohakhali, Dhaka, Bangladesh
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11
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Tian Z, Cen L. Interaction of Biochemical Processes between Chronic Obstructive Pulmonary Disease (COPD), Pulmonary Arterial Hypertension (PAH), and Coronavirus Disease 2019 (COVID-19). Pol J Microbiol 2023; 0:pjm-2023-015. [PMID: 37216361 DOI: 10.33073/pjm-2023-015] [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: 01/17/2023] [Accepted: 02/27/2023] [Indexed: 05/24/2023] Open
Abstract
Both pulmonary arterial hypertension (PAH) and chronic obstructive pulmonary disease (COPD) are risk factors for coronavirus disease 2019 (COVID-19). Patients with lung injury and altered pulmonary vascular anatomy or function are more susceptible to infections. The purpose of the study is to ascertain whether individuals with COPD or PAH are affected synergistically by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Data sources for the construction of a protein-protein interaction (PPI) network and the identification of differentially expressed genes (DEGs) included three RNA-seq datasets from the GEO database (GSE147507, GSE106986, and GSE15197). Then, relationships between miRNAs, common DEGs, and transcription factor (TF) genes were discovered. Functional analysis using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and other databases, as well as the forecasting of antiviral medications for COPD and PAH patients infected with SARS-CoV-2, were also performed. Eleven common DEGs were found in the three datasets, and their biological functions were primarily enriched in the control of protein modification processes, particularly phosphorylation. Growth factor receptor binding reflects molecular function. KEGG analysis indicated that co-DEGs mainly activate Ras, and PI3K-Akt signaling pathways and act on focal adhesions. NFKB1 interacted with HSA-miR-942 in the TF-miRNA-DEGs synergistic regulatory network. Acetaminophen is considered an effective drug candidate. There are some connections between COPD and PAH and the development of COVID-19. This research could aid in developing COVID-19 vaccines and medication candidates that would work well as COVID-19 therapies.
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12
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Norton NJ, Holder KA, Ings DP, Harnum DOA, Russell RS, Grant MD. Cellular Immune Responses to SARS-CoV-2 in Exposed Seronegative Individuals. Viruses 2023; 15:v15040996. [PMID: 37112977 PMCID: PMC10144856 DOI: 10.3390/v15040996] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/30/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
Some SARS-CoV-2-exposed individuals develop immunity without overt infection. We identified 11 individuals who were negative by nucleic acid testing during prolonged close contact and with no serological diagnosis of infection. As this could reflect natural immunity, cross-reactive immunity from previous coronavirus exposure, abortive infection due to de novo immune responses, or other factors, our objective was to characterize immunity against SARS-CoV-2 in these individuals. Blood was processed into plasma and peripheral blood mononuclear cells (PBMC) and screened for IgG, IgA, and IgM antibodies (Ab) against SARS-CoV-2 and common β-coronaviruses OC43 and HKU1. Receptor blocking activity and interferon-alpha (IFN-α) in plasma were also measured. Circulating T cells against SARS-CoV-2 were enumerated and CD4+ and CD8+ T cell responses discriminated after in vitro stimulation. Exposed uninfected individuals were seronegative against SARS-CoV-2 spike (S) and selectively reactive against OC43 nucleocapsid protein (N), suggesting common β-coronavirus exposure induced Ab cross-reactive against SARS-CoV-2 N. There was no evidence of protection from circulating angiotensin-converting enzyme (ACE2) or IFN-α. Six individuals had T cell responses against SARS-CoV-2, with four involving CD4+ and CD8+ T cells. We found no evidence of protection from SARS-CoV-2 through innate immunity or immunity induced by common β-coronaviruses. Cellular immune responses against SARS-CoV-2 were associated with time since exposure, suggesting that rapid cellular responses may contain SARS-CoV-2 infection below the thresholds required for a humoral response.
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Affiliation(s)
- Natasha J Norton
- Immunology and Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland and Labrador, St. John's, NL A1B 3V6, Canada
| | - Kayla A Holder
- Immunology and Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland and Labrador, St. John's, NL A1B 3V6, Canada
| | - Danielle P Ings
- Immunology and Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland and Labrador, St. John's, NL A1B 3V6, Canada
| | - Debbie O A Harnum
- Eastern Regional Health Authority, Department of Health and Community Services, St. John's, NL A1B 3V6, Canada
| | - Rodney S Russell
- Immunology and Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland and Labrador, St. John's, NL A1B 3V6, Canada
| | - Michael D Grant
- Immunology and Infectious Diseases Program, Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland and Labrador, St. John's, NL A1B 3V6, Canada
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13
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Immune Dynamics Involved in Acute and Convalescent COVID-19 Patients. IMMUNO 2023. [DOI: 10.3390/immuno3010007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
COVID-19 is a viral disease that has caused millions of deaths around the world since 2020. Many strategies have been developed to manage patients in critical conditions; however, comprehension of the immune system is a key factor in viral clearance, tissue repairment, and adaptive immunity stimulus. Participation of immunity has been identified as a major factor, along with biomarkers, prediction of clinical outcomes, and antibody production after infection. Immune cells have been proposed not only as a hallmark of severity, but also as a predictor of clinical outcomes, while dynamics of inflammatory molecules can also induce worse consequences for acute patients. For convalescent patients, mild disease was related to higher antibody production, although the factors related to the specific antibodies based on a diversity of antigens were not clear. COVID-19 was explored over time; however, the study of immunological predictors of outcomes is still lacking discussion, especially in convalescent patients. Here, we propose a review using previously published studies to identify immunological markers of COVID-19 outcomes and their relation to antibody production to further contribute to the clinical and laboratorial management of patients.
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14
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Maki FM, Al-Thwani AN, Jiad KS. Study of some immunological signatures and their association with COVID-19 in a sample of recovered Iraqi patients. Immunobiology 2023; 228:152348. [PMID: 36827832 PMCID: PMC9920766 DOI: 10.1016/j.imbio.2023.152348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/21/2023] [Accepted: 02/08/2023] [Indexed: 02/13/2023]
Abstract
Since its emergence about two years ago, the novel coronavirus has continued to be a challenge and threat to public health, struck most parts of the world, leaving more than half a billion cases of infection and more than five million deaths. Immune response abnormalities post-infection with SARS-CoV-2 have been reported, and the mechanisms that lead to them are still ambiguous. This study was conducted to evaluate some immunological markers in the serum samples of COVID-19 convalescent patients and investigate the association of these immunological signatures with their age and sex. The serum levels of immunoglobulin G, interleukin-1 beta, and interferon lambda-1 of 75 patients and 50 healthy control group members were measured, with 55 % males and 45 % females participating and ages ranging from 20 to 80 years. The measurement of the immunological signatures was performed using the enzyme-linked immunosorbent assay (ELISA). The result revealed highly significant elevated levels of the serum immunological signatures of the convalescent group in comparison to the control group, with P-values of 0.00001 for each signature. Moreover, age was observed to have an association with an elevated level of the immunological signatures as it increased in the elderly, whereas no association with sex was detected. The findings strongly suggest that COVID-19 infection results in a persistent inflammatory response, which leads to prolonged post-recovery symptoms. Post-COVID-19 syndrome necessitates additional research to clarify its pathophysiology, pathogenesis, and long-term implications.
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Affiliation(s)
- Fadia M Maki
- Genetic Engineering and Biotechnology Institute, University of Baghdad, Baghdad, Iraq.
| | - Amina N Al-Thwani
- Genetic Engineering and Biotechnology Institute, University of Baghdad, Baghdad, Iraq
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15
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Abd El-Baky N, Amara AA, Redwan EM. HLA-I and HLA-II Peptidomes of SARS-CoV-2: A Review. Vaccines (Basel) 2023; 11:548. [PMID: 36992131 PMCID: PMC10058130 DOI: 10.3390/vaccines11030548] [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: 01/29/2023] [Revised: 02/18/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
The adaptive (T-cell-mediated) immune response is a key player in determining the clinical outcome, in addition to neutralizing antibodies, after SARS-CoV-2 infection, as well as supporting the efficacy of vaccines. T cells recognize viral-derived peptides bound to major histocompatibility complexes (MHCs) so that they initiate cell-mediated immunity against SARS-CoV-2 infection or can support developing a high-affinity antibody response. SARS-CoV-2-derived peptides bound to MHCs are characterized via bioinformatics or mass spectrometry on the whole proteome scale, named immunopeptidomics. They can identify potential vaccine targets or therapeutic approaches for SARS-CoV-2 or else may reveal the heterogeneity of clinical outcomes. SARS-CoV-2 epitopes that are naturally processed and presented on the human leukocyte antigen class I (HLA-I) and class II (HLA-II) were identified for immunopeptidomics. Most of the identified SARS-CoV-2 epitopes were canonical and out-of-frame peptides derived from spike and nucleocapsid proteins, followed by membrane proteins, whereby many of which are not caught by existing vaccines and could elicit effective responses of T cells in vivo. This review addresses the detection of SARS-CoV-2 viral epitopes on HLA-I and HLA-II using bioinformatics prediction and mass spectrometry (HLA peptidomics). Profiling the HLA-I and HLA-II peptidomes of SARS-CoV-2 is also detailed.
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Affiliation(s)
- Nawal Abd El-Baky
- Protein Research Department, Genetic Engineering and Biotechnology Research Institute (GEBRI), City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab City, Alexandria P.O. Box 21934, Egypt
| | - Amro A. Amara
- Protein Research Department, Genetic Engineering and Biotechnology Research Institute (GEBRI), City of Scientific Research and Technological Applications (SRTA-City), New Borg El-Arab City, Alexandria P.O. Box 21934, Egypt
| | - Elrashdy M. Redwan
- Biological Sciences Department, Faculty of Science, King Abdulaziz University, Jeddah P.O. Box 80203, Saudi Arabia
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16
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Lin F, Lin X, Fu B, Xiong Y, Zaky MY, Wu H. Functional studies of HLA and its role in SARS-CoV-2: Stimulating T cell response and vaccine development. Life Sci 2023; 315:121374. [PMID: 36621539 PMCID: PMC9815883 DOI: 10.1016/j.lfs.2023.121374] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/02/2023] [Accepted: 01/03/2023] [Indexed: 01/07/2023]
Abstract
In the biological immune process, the major histocompatibility complex (MHC) plays an indispensable role in the expression of HLA molecules in the human body when viral infection activates the T-cell response to remove the virus. Since the first case of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in 2019, how to address and prevent SARS-CoV-2 has become a common problem facing all mankind. The T-cell immune response activated by MHC peptides is a way to construct a defense line and reduce the transmission and harm of the virus. Presentation of SARS-CoV-2 antigen is associated with different types of HLA phenotypes, and different HLA phenotypes induce different immune responses. The prediction of SARS-CoV-2 mutation information and the design of vaccines based on HLAs can effectively activate autoimmunity and cope with virus mutations, which can provide some references for the prevention and treatment of SARS-CoV-2.
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Affiliation(s)
- Feng Lin
- School of Life Sciences, Chongqing University, Shapingba, Chongqing, China
| | - Xiaoyuan Lin
- School of Life Sciences, Chongqing University, Shapingba, Chongqing, China.
| | - Beibei Fu
- School of Life Sciences, Chongqing University, Shapingba, Chongqing, China
| | - Yan Xiong
- School of Life Sciences, Chongqing University, Shapingba, Chongqing, China
| | - Mohamed Y Zaky
- Molecular Physiology Division, Zoology Department, Faculty of Science, Beni-Suef University, P.O. Box 62521, Beni-Suef, Egypt; Department of Oncology and Department of Biomedical and Clinical Science, Faculty of Medicine, Linköping University, Sweden
| | - Haibo Wu
- School of Life Sciences, Chongqing University, Shapingba, Chongqing, China.
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17
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Wang L, Peng HY, Pham A, Villazana E, Ballard DJ, Das JK, Kumar A, Xiong X, Song J. T Cell Response to SARS-CoV-2 Coinfection and Comorbidities. Pathogens 2023; 12:321. [PMID: 36839596 PMCID: PMC9965203 DOI: 10.3390/pathogens12020321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/03/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
For the past three years, COVID-19 has become an increasing global health issue. Adaptive immune cells, especially T cells, have been extensively investigated in regard to SARS-CoV-2 infection. However, human health and T cell responses are also impacted by many other pathogens and chronic diseases. We have summarized T cell performance during SARS-CoV-2 coinfection with other viruses, bacteria, and parasites. Furthermore, we distinguished if those altered T cell statuses under coinfection would affect their clinical outcomes, such as symptom severity and hospitalization demand. T cell alteration in diabetes, asthma, and hypertension patients with SARS-CoV-2 infection was also investigated in our study. We have summarized whether changes in T cell response influence the clinical outcome during comorbidities.
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Affiliation(s)
- Liqing Wang
- Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Bryan, TX 77807, USA
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA
| | - Hao-Yun Peng
- Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Bryan, TX 77807, USA
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA
| | - Aspen Pham
- Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Bryan, TX 77807, USA
| | - Eber Villazana
- Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Bryan, TX 77807, USA
| | - Darby J. Ballard
- Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Bryan, TX 77807, USA
| | - Jugal Kishore Das
- Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Bryan, TX 77807, USA
| | - Anil Kumar
- Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Bryan, TX 77807, USA
| | - Xiaofang Xiong
- Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Bryan, TX 77807, USA
| | - Jianxun Song
- Department of Microbial Pathogenesis and Immunology, Texas A&M University Health Science Center, Bryan, TX 77807, USA
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18
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Ivanova I, Filippenko A, Trufanova A, Omelchenko N, Chemisova O, Vodopyanov A, Bereznyak E, Sokolova E, Noskov A, Totolyan AAA. Assessment of the formation and intensity of adaptive immunity in patients with COVID-19. RUSSIAN JOURNAL OF INFECTION AND IMMUNITY 2023. [DOI: 10.15789/2220-7619-aof-2107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
The study of adaptive immunity in survivors of a new coronavirus infection is an important task, since there is no consensus on whether the severity of the disease affects the formation and intensity of the immune response to COVID-19. In this regard, a comparative assessment of the presence and duration of preservation of cellular and humoral immunity in patients with COVID-19 of varying severity was carried out. The study involved volunteers who had been ill with a new coronavirus infection asymptomatically (n=30), in moderate severity (n=21) and in severe form (n=12). The average age of the subjects was 47.312.5 years. The formation of cellular immunity was judged by an increase in the synthesis of IFN- in response to stimulation of lymphocytes for 16-20 hours by glycoprotein S(RBD) of the causative agent COVID-19. To determine IFN- products, the gamma InterferonIFA-BEST test system, manufactured by Vector-Best JSC, Russia, was used. The humoral immune response was recorded by detecting class G antibodies using the "SARS-CoV-2RBD-ELISA-Gamalei" test system (FSBI "N.F. Gamalei NITSEM" of the Ministry of Health of the Russian Federation). The results obtained indicate that patients from all groups have both humoral and cellular immunity to the causative agent of a new coronavirus infection. However, the number of people with adaptive immunity to COVID-19 and the duration of its preservation depends on the severity of the infection. A significant decrease in the number of people with cellular immunity was revealed in the group of seriously ill. At the same time, the majority of volunteers in this group registered the presence of class G immunoglobulins before the end of observation. In this group, unlike the other two, no patients were identified in whom only the cellular link of the immune response was activated. Volunteers who did not retain adaptive immunity to the causative agent of a new coronavirus infection appeared only by the end of the observation period. Among those who had the disease in an average form 7-8 months after recovery, there was a decrease in the number of people with cellular and humoral immunity. This process started earlier than in the group of patients who were asymptomatic and continued until the end of the study. The proportion of individuals with cellular immunity increased, and at a later date with a humoral immune response. By the end of the study, a high percentage of volunteers remained asymptomatically infected, having cellular and humoral immunity to SARS-CoV-2. Their number remained statistically higher than in the group of those who had a new coronavirus infection of moderate severity, but lower than in the group of those who were seriously ill. Also in this group, by the end of the experiment, an increase in the number of volunteers with only a cellular immune response was recorded. According to the data obtained, at the end of the observation period, the number of volunteers with humoral immunity to the causative agent of a new coronavirus infection is higher compared to those with a cellular immune response
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19
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Pagani L, Chinello C, Risca G, Capitoli G, Criscuolo L, Lombardi A, Ungaro R, Mangioni D, Piga I, Muscatello A, Blasi F, Favalli A, Martinovic M, Gori A, Bandera A, Grifantini R, Magni F. Plasma Proteomic Variables Related to COVID-19 Severity: An Untargeted nLC-MS/MS Investigation. Int J Mol Sci 2023; 24:ijms24043570. [PMID: 36834989 PMCID: PMC9962231 DOI: 10.3390/ijms24043570] [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: 12/31/2022] [Revised: 01/26/2023] [Accepted: 02/06/2023] [Indexed: 02/12/2023] Open
Abstract
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection leads to a wide range of clinical manifestations and determines the need for personalized and precision medicine. To better understand the biological determinants of this heterogeneity, we explored the plasma proteome of 43 COVID-19 patients with different outcomes by an untargeted liquid chromatography-mass spectrometry approach. The comparison between asymptomatic or pauci-symptomatic subjects (MILDs), and hospitalised patients in need of oxygen support therapy (SEVEREs) highlighted 29 proteins emerged as differentially expressed: 12 overexpressed in MILDs and 17 in SEVEREs. Moreover, a supervised analysis based on a decision-tree recognised three proteins (Fetuin-A, Ig lambda-2chain-C-region, Vitronectin) that are able to robustly discriminate between the two classes independently from the infection stage. In silico functional annotation of the 29 deregulated proteins pinpointed several functions possibly related to the severity; no pathway was associated exclusively to MILDs, while several only to SEVEREs, and some associated to both MILDs and SEVEREs; SARS-CoV-2 signalling pathway was significantly enriched by proteins up-expressed in SEVEREs (SAA1/2, CRP, HP, LRG1) and in MILDs (GSN, HRG). In conclusion, our analysis could provide key information for 'proteomically' defining possible upstream mechanisms and mediators triggering or limiting the domino effect of the immune-related response and characterizing severe exacerbations.
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Affiliation(s)
- Lisa Pagani
- Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy
| | - Clizia Chinello
- Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy
- Correspondence: ; Tel.:+39-333-5905725
| | - Giulia Risca
- Bicocca Bioinformatics Biostatistics and Bioimaging Centre—B4, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy
| | - Giulia Capitoli
- Bicocca Bioinformatics Biostatistics and Bioimaging Centre—B4, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy
| | - Lucrezia Criscuolo
- Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy
| | - Andrea Lombardi
- Department of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy
- Infectious Diseases Unit, IRCCS Ca’ Granda Ospedale Maggiore Policlinico Foundation, 20122 Milano, Italy
| | - Riccardo Ungaro
- Infectious Diseases Unit, IRCCS Ca’ Granda Ospedale Maggiore Policlinico Foundation, 20122 Milano, Italy
| | - Davide Mangioni
- Department of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy
- Infectious Diseases Unit, IRCCS Ca’ Granda Ospedale Maggiore Policlinico Foundation, 20122 Milano, Italy
| | - Isabella Piga
- Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy
| | - Antonio Muscatello
- Infectious Diseases Unit, IRCCS Ca’ Granda Ospedale Maggiore Policlinico Foundation, 20122 Milano, Italy
| | - Francesco Blasi
- Department of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy
- Respiratory Unit and Cystic Fibrosis Adult Center, Internal Medicine Department, Foundation IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milano, Italy
| | - Andrea Favalli
- Istituto Nazionale di Genetica Molecolare (INGM), 20122 Milano, Italy
| | | | - Andrea Gori
- Department of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy
- Infectious Diseases Unit, IRCCS Ca’ Granda Ospedale Maggiore Policlinico Foundation, 20122 Milano, Italy
| | - Alessandra Bandera
- Department of Pathophysiology and Transplantation, University of Milano, 20122 Milano, Italy
- Infectious Diseases Unit, IRCCS Ca’ Granda Ospedale Maggiore Policlinico Foundation, 20122 Milano, Italy
| | - Renata Grifantini
- Istituto Nazionale di Genetica Molecolare (INGM), 20122 Milano, Italy
| | - Fulvio Magni
- Proteomics and Metabolomics Unit, School of Medicine and Surgery, University of Milano-Bicocca, 20854 Vedano al Lambro, Italy
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20
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Clancy J, Hoffmann CS, Pickett BE. Transcriptomics secondary analysis of severe human infection with SARS-CoV-2 identifies gene expression changes and predicts three transcriptional biomarkers in leukocytes. Comput Struct Biotechnol J 2023; 21:1403-1413. [PMID: 36785619 PMCID: PMC9908618 DOI: 10.1016/j.csbj.2023.02.003] [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: 08/18/2022] [Revised: 02/02/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023] Open
Abstract
SARS-CoV-2 is the causative agent of COVID-19, which has greatly affected human health since it first emerged. Defining the human factors and biomarkers that differentiate severe SARS-CoV-2 infection from mild infection has become of increasing interest to clinicians. To help address this need, we retrieved 269 public RNA-seq human transcriptome samples from GEO that had qualitative disease severity metadata. We then subjected these samples to a robust RNA-seq data processing workflow to calculate gene expression in PBMCs, whole blood, and leukocytes, as well as to predict transcriptional biomarkers in PBMCs and leukocytes. This process involved using Salmon for read mapping, edgeR to calculate significant differential expression levels, and gene ontology enrichment using Camera. We then performed a random forest machine learning analysis on the read counts data to identify genes that best classified samples based on the COVID-19 severity phenotype. This approach produced a ranked list of leukocyte genes based on their Gini values that includes TGFBI, TTYH2, and CD4, which are associated with both the immune response and inflammation. Our results show that these three genes can potentially classify samples with severe COVID-19 with accuracy of ∼88% and an area under the receiver operating characteristic curve of 92.6--indicating acceptable specificity and sensitivity. We expect that our findings can help contribute to the development of improved diagnostics that may aid in identifying severe COVID-19 cases, guide clinical treatment, and improve mortality rates.
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21
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He B, Liu S, Xu M, Hu Y, Lv K, Wang Y, Ma Y, Zhai Y, Yue X, Liu L, Lu H, Zhou S, Li P, Mai G, Huang X, Li C, Chen S, Ye S, Zhao P, Yang Y, Li X, Jie Y, Shi M, Yang J, Shu Y, Chen YQ. Comparative global B cell receptor repertoire difference induced by SARS-CoV-2 infection or vaccination via single-cell V(D)J sequencing. Emerg Microbes Infect 2022; 11:2007-2020. [PMID: 35899581 PMCID: PMC9377262 DOI: 10.1080/22221751.2022.2105261] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/30/2022] [Accepted: 07/19/2022] [Indexed: 02/05/2023]
Abstract
Dynamic changes of the paired heavy and light chain B cell receptor (BCR) repertoire provide an essential insight into understanding the humoral immune response post-SARS-CoV-2 infection and vaccination. However, differences between the endogenous paired BCR repertoire kinetics in SARS-CoV-2 infection and previously recovered/naïve subjects treated with the inactivated vaccine remain largely unknown. We performed single-cell V(D)J sequencing of B cells from six healthy donors with three shots of inactivated SARS-CoV-2 vaccine (BBIBP-CorV), five people who received the BBIBP-CorV vaccine after having recovered from COVID-19, five unvaccinated COVID-19 recovered patients and then integrated with public data of B cells from four SARS-CoV-2-infected subjects. We discovered that BCR variable (V) genes were more prominently used in the SARS-CoV-2 exposed groups (both in the group with active infection and in the group that had recovered) than in the vaccinated groups. The VH gene that expanded the most after SARS-CoV-2 infection was IGHV3-33, while IGHV3-23 in the vaccinated groups. SARS-CoV-2-infected group enhanced more BCR clonal expansion and somatic hypermutation than the vaccinated healthy group. A small proportion of public clonotypes were shared between the SARS-CoV-2 infected, vaccinated healthy, and recovered groups. Moreover, several public antibodies had been identified against SARS-CoV-2 spike protein. We comprehensively characterize the paired heavy and light chain BCR repertoire from SARS-CoV-2 infection to vaccination, providing further guidance for the development of the next-generation precision vaccine.
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Affiliation(s)
- Bing He
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Shuning Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Mengxin Xu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yunqi Hu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Kexin Lv
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yuanyuan Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yong Ma
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yanmei Zhai
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Xinyu Yue
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Lin Liu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Hongjie Lu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Siwei Zhou
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Pengbin Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Guoqin Mai
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Xiaoping Huang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Chenhang Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Shifeng Chen
- Department of Respiratory and Critical Care Medicine, The 74(th) Group Army Hospital, Guangzhou, People’s Republic of China
| | - Shupei Ye
- SSL Central Hospital of Dongguan City, Dongguan, People’s Republic of China
| | - Pingsen Zhao
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Medical Research Center, Yuebei People’s Hospital, Shantou University Medical College, Shaoguan, People’s Republic of China
| | - Yuedong Yang
- School of Data and Computer Science, Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Xinhua Li
- Department of Infectious Diseases and Key Laboratory of Liver Disease of Guangdong Province, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Yusheng Jie
- Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China
| | - Mang Shi
- The Centre for Infection and Immunity Studies, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Jingyi Yang
- Vaccine and Immunology Research Center, Translational Medical Research Institute, Shanghai Public Health Clinical Center, Fudan University, Shanghai, People’s Republic of China
| | - Yuelong Shu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
| | - Yao-Qing Chen
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, People’s Republic of China
- b School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, People’s Republic of China
- k Ministry of Education, Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Guangzhou, People’s Republic of China
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Peng K, Moore J, Vahed M, Brito J, Kao G, Burkhardt AM, Alachkar H, Mangul S. pyTCR: A comprehensive and scalable solution for TCR-Seq data analysis to facilitate reproducibility and rigor of immunogenomics research. Front Immunol 2022; 13:954078. [PMID: 36451811 PMCID: PMC9704496 DOI: 10.3389/fimmu.2022.954078] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 10/05/2022] [Indexed: 01/29/2023] Open
Abstract
T cell receptor (TCR) studies have grown substantially with the advancement in the sequencing techniques of T cell receptor repertoire sequencing (TCR-Seq). The analysis of the TCR-Seq data requires computational skills to run the computational analysis of TCR repertoire tools. However biomedical researchers with limited computational backgrounds face numerous obstacles to properly and efficiently utilizing bioinformatics tools for analyzing TCR-Seq data. Here we report pyTCR, a computational notebook-based solution for comprehensive and scalable TCR-Seq data analysis. Computational notebooks, which combine code, calculations, and visualization, are able to provide users with a high level of flexibility and transparency for the analysis. Additionally, computational notebooks are demonstrated to be user-friendly and suitable for researchers with limited computational skills. Our tool has a rich set of functionalities including various TCR metrics, statistical analysis, and customizable visualizations. The application of pyTCR on large and diverse TCR-Seq datasets will enable the effective analysis of large-scale TCR-Seq data with flexibility, and eventually facilitate new discoveries.
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Affiliation(s)
- Kerui Peng
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Jaden Moore
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States,Computer Science Department, Orange Coast College, Costa Mesa, CA, United States
| | - Mohammad Vahed
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Jaqueline Brito
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Guoyun Kao
- Department of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Amanda M. Burkhardt
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Houda Alachkar
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States
| | - Serghei Mangul
- Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA, United States,*Correspondence: Serghei Mangul,
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Guo Q, Wang P, Liu Q, Hao Y, Gao Y, Qi Y, Xu R, Chen H, Xin M, Wu X, Sun R, Zhi H, Zhang Y, Ning S, Li X. CellTracer: a comprehensive database to dissect the causative multilevel interplay contributing to cell development trajectories. Nucleic Acids Res 2022; 51:D861-D869. [PMID: 36243976 PMCID: PMC9825461 DOI: 10.1093/nar/gkac892] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 09/15/2022] [Accepted: 10/03/2022] [Indexed: 01/30/2023] Open
Abstract
During the complex process of tumour development, the unique destiny of cells is driven by the fine-tuning of multilevel features such as gene expression, network regulation and pathway activation. The dynamic formation of the tumour microenvironment influences the therapeutic response and clinical outcome. Thus, characterizing the developmental landscape and identifying driver features at multiple levels will help us understand the pathological development of disease in individual cell populations and further contribute to precision medicine. Here, we describe a database, CellTracer (http://bio-bigdata.hrbmu.edu.cn/CellTracer), which aims to dissect the causative multilevel interplay contributing to cell development trajectories. CellTracer consists of the gene expression profiles of 1 941 552 cells from 222 single-cell datasets and provides the development trajectories of different cell populations exhibiting diverse behaviours. By using CellTracer, users can explore the significant alterations in molecular events and causative multilevel crosstalk among genes, biological contexts, cell characteristics and clinical treatments along distinct cell development trajectories. CellTracer also provides 12 flexible tools to retrieve and analyse gene expression, cell cluster distribution, cell development trajectories, cell-state variations and their relationship under different conditions. Collectively, CellTracer will provide comprehensive insights for investigating the causative multilevel interplay contributing to cell development trajectories and serve as a foundational resource for biomarker discovery and therapeutic exploration within the tumour microenvironment.
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Affiliation(s)
| | | | | | | | - Yue Gao
- Department of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Yue Qi
- Department of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Rongji Xu
- Department of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Hongyan Chen
- Department of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Mengyu Xin
- Department of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Xiaoting Wu
- Department of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Rui Sun
- Department of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Hui Zhi
- Department of Gynecology of the First Affiliated Hospital, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Yunpeng Zhang
- Correspondence may also be addressed to Yunpeng Zhang. Tel: +86 451 86615922; Fax: +86 451 86615922;
| | - Shangwei Ning
- Correspondence may also be addressed to Shangwei Ning. Tel: +86 451 86615922; Fax: +86 451 86615922;
| | - Xia Li
- To whom correspondence should be addressed. Tel: +86 451 86615922; Fax: +86 451 86615922;
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24
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Silva MJA, Ribeiro LR, Lima KVB, Lima LNGC. Adaptive immunity to SARS-CoV-2 infection: A systematic review. Front Immunol 2022; 13:1001198. [PMID: 36300105 PMCID: PMC9589156 DOI: 10.3389/fimmu.2022.1001198] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 09/26/2022] [Indexed: 01/08/2023] Open
Abstract
Background There is evidence that the adaptive or acquired immune system is one of the crucial variables in differentiating the course of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This work aimed to analyze the immunopathological aspects of adaptive immunity that are involved in the progression of this disease. Methods This is a systematic review based on articles that included experimental evidence from in vitro assays, cohort studies, reviews, cross-sectional and case-control studies from PubMed, SciELO, MEDLINE, and Lilacs databases in English, Portuguese, or Spanish between January 2020 and July 2022. Results Fifty-six articles were finalized for this review. CD4+ T cells were the most resolutive in the health-disease process compared with B cells and CD8+ T lymphocytes. The predominant subpopulations of T helper lymphocytes (Th) in critically ill patients are Th1, Th2, Th17 (without their main characteristics) and regulatory T cells (Treg), while in mild cases there is an influx of Th1, Th2, Th17 and follicular T helper cells (Tfh). These cells are responsible for the secretion of cytokines, including interleukin (IL) - 6, IL-4, IL-10, IL-7, IL-22, IL-21, IL-15, IL-1α, IL-23, IL-5, IL-13, IL-2, IL-17, tumor necrosis factor alpha (TNF-α), CXC motivating ligand (CXCL) 8, CXCL9 and tumor growth factor beta (TGF-β), with the abovementioned first 8 inflammatory mediators related to clinical benefits, while the others to a poor prognosis. Some CD8+ T lymphocyte markers are associated with the severity of the disease, such as human leukocyte antigen (HLA-DR) and programmed cell death protein 1 (PD-1). Among the antibodies produced by SARS-CoV-2, Immunoglobulin (Ig) A stood out due to its potent release associated with a more severe clinical form. Conclusions It is concluded that through this study it is possible to have a brief overview of the main immunological biomarkers and their function during SARS-CoV-2 infection in particular cell types. In critically ill individuals, adaptive immunity is varied, aberrantly compromised, and late. In particular, the T-cell response is also an essential and necessary component in immunological memory and therefore should be addressed in vaccine formulation strategies.
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Affiliation(s)
- Marcos Jessé Abrahão Silva
- Graduate Program in Epidemiology and Health Surveillance (PPGEVS), Bacteriology and Mycology Section (SABMI), Evandro Chagas Institute (IEC), Ananindeua, Brazil
- Bacteriology and Mycology Section (SABMI), Evandro Chagas Institute (IEC), Ananindeua, Brazil
- *Correspondence: Marcos Jessé Abrahão Silva,
| | - Layana Rufino Ribeiro
- Bacteriology and Mycology Section (SABMI), Evandro Chagas Institute (IEC), Ananindeua, Brazil
| | | | - Luana Nepomuceno Gondim Costa Lima
- Graduate Program in Epidemiology and Health Surveillance (PPGEVS), Bacteriology and Mycology Section (SABMI), Evandro Chagas Institute (IEC), Ananindeua, Brazil
- Bacteriology and Mycology Section (SABMI), Evandro Chagas Institute (IEC), Ananindeua, Brazil
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25
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Yang X, Chi H, Wu M, Wang Z, Lang Q, Han Q, Wang X, Liu X, Li Y, Wang X, Huang N, Bi J, Liang H, Gao Y, Zhao Y, Feng N, Yang S, Wang T, Xia X, Ge L. Discovery and characterization of SARS-CoV-2 reactive and neutralizing antibodies from humanized CAMouseHG mice through rapid hybridoma screening and high-throughput single-cell V(D)J sequencing. Front Immunol 2022; 13:992787. [PMID: 36211410 PMCID: PMC9545174 DOI: 10.3389/fimmu.2022.992787] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/26/2022] [Indexed: 11/13/2022] Open
Abstract
The coronavirus disease 2019 pandemic has caused more than 532 million infections and 6.3 million deaths to date. The reactive and neutralizing fully human antibodies of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are effective detection tools and therapeutic measures. During SARS-CoV-2 infection, a large number of SARS-CoV-2 reactive and neutralizing antibodies will be produced. Most SARS-CoV-2 reactive and neutralizing fully human antibodies are isolated from human and frequently encoded by convergent heavy-chain variable genes. However, SARS-CoV-2 viruses can mutate rapidly during replication and the resistant variants of neutralizing antibodies easily survive and evade the immune response, especially in the face of such focused antibody responses in humans. Therefore, additional tools are needed to develop different kinds of fully human antibodies to compensate for current deficiency. In this study, we utilized antibody humanized CAMouseHG mice to develop a rapid antibody discovery method and examine the antibody repertoire of SARS-CoV-2 RBD-reactive hybridoma cells derived from CAMouseHG mice by using high-throughput single-cell V(D)J sequencing analysis. CAMouseHG mice were immunized by 28-day rapid immunization method. After electrofusion and semi-solid medium screening on day 12 post-electrofusion, 171 hybridoma clones were generated based on the results of SARS-CoV-2 RBD binding activity assay. A rather obvious preferential usage of IGHV6-1 family was found in these hybridoma clones derived from CAMouseHG mice, which was significantly different from the antibodies found in patients with COVID-19. After further virus neutralization screening and antibody competition assays, we generated a noncompeting two-antibody cocktail, which showed a potent prophylactic protective efficacy against SARS-CoV-2 in cynomolgus macaques. These results indicate that humanized CAMouseHG mice not only provide a valuable platform to obtain fully human reactive and neutralizing antibodies but also have a different antibody repertoire from humans. Thus, humanized CAMouseHG mice can be used as a good complementary tool in discovery of fully human therapeutic and diagnostic antibodies.
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Affiliation(s)
- Xi Yang
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Hang Chi
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Meng Wu
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Zhenshan Wang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- College of Veterinary Medicine, Jilin Agricultural University, Changchun, China
| | - Qiaoli Lang
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Qiuxue Han
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences (CAMS) and Comparative Medicine Center, Peking Union Medical College (PUMC), Beijing, China
| | - Xinyue Wang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Xueqin Liu
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Yuanguo Li
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Xiwen Wang
- Food and Drug Inspection Laboratory, Administration for Drug and Instrument Supervision and Inspection, Beijing, China
| | - Nan Huang
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Jinhao Bi
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- College of Veterinary Medicine, Jilin Agricultural University, Changchun, China
| | - Hao Liang
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
| | - Yuwei Gao
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Yongkun Zhao
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Na Feng
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Songtao Yang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Tiecheng Wang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- *Correspondence: Liangpeng Ge, ; Tiecheng Wang, ; Xianzhu Xia,
| | - Xianzhu Xia
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- *Correspondence: Liangpeng Ge, ; Tiecheng Wang, ; Xianzhu Xia,
| | - Liangpeng Ge
- Institute of Bioengineering, ChongQing Academy of Animal Sciences, Chongqing, China
- *Correspondence: Liangpeng Ge, ; Tiecheng Wang, ; Xianzhu Xia,
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26
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He J, Shen J, Luo W, Han Z, Xie F, Pang T, Liao L, Guo Z, Li J, Li Y, Chen H. Research progress on application of single-cell TCR/BCR sequencing technology to the tumor immune microenvironment, autoimmune diseases, and infectious diseases. Front Immunol 2022; 13:969808. [PMID: 36059506 PMCID: PMC9434330 DOI: 10.3389/fimmu.2022.969808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
Single-cell omics is the profiling of individual cells through sequencing and other technologies including high-throughput analysis for single-cell resolution, cell classification, and identification as well as time series analyses. Unlike multicellular studies, single-cell omics overcomes the problem of cellular heterogeneity. It provides new methods and perspectives for in-depth analyses of the behavior and mechanism of individual cells in the cell population and their relationship with the body, and plays an important role in basic research and precision medicine. Single-cell sequencing technologies mainly include single-cell transcriptome sequencing, single-cell assay for transposase accessible chromatin with high-throughput sequencing, single-cell immune profiling (single-cell T-cell receptor [TCR]/B-cell receptor [BCR] sequencing), and single-cell transcriptomics. Single-cell TCR/BCR sequencing can be used to obtain a large amount of single-cell gene expression and immunomics data at one time, and combined with transcriptome sequencing and TCR/BCR diversity data, can resolve immune cell heterogeneity. This paper summarizes the progress in applying single-cell TCR/BCR sequencing technology to the tumor immune microenvironment, autoimmune diseases, infectious diseases, immunotherapy, and chronic inflammatory diseases, and discusses its shortcomings and prospects for future application.
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Affiliation(s)
- Jinhua He
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Jian Shen
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Wenfeng Luo
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Zeping Han
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Fangmei Xie
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Ting Pang
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Liyin Liao
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Zhonghui Guo
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
| | - Jianhao Li
- Institute of Cardiovascular Medicine, Central Hospital of Panyu District, Guangzhou, China
- *Correspondence: Hanwei Chen, ; Yuguang Li, ; Jianhao Li,
| | - Yuguang Li
- Administrative Office, He Xian Memorial Hospital, Southern Medical University, Guangzhou, China
- *Correspondence: Hanwei Chen, ; Yuguang Li, ; Jianhao Li,
| | - Hanwei Chen
- Central Laboratory, Central Hospital of Panyu District, Guangzhou, China
- Medical Imaging Institute of Panyu, Central Hospital of Panyu District, Guangzhou, China
- *Correspondence: Hanwei Chen, ; Yuguang Li, ; Jianhao Li,
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27
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Xia Y, Yao RQ, Zhao PY, Tao ZB, Zheng LY, Zhou HT, Yao YM, Song XM. Publication trends of research on COVID-19 and host immune response: A bibliometric analysis. Front Public Health 2022; 10:939053. [PMID: 36003630 PMCID: PMC9394856 DOI: 10.3389/fpubh.2022.939053] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 07/18/2022] [Indexed: 01/08/2023] Open
Abstract
IntroductionAs the first bibliometric analysis of COVID-19 and immune responses, this study will provide a comprehensive overview of the latest research advances. We attempt to summarize the scientific productivity and cooperation across countries and institutions using the bibliometric methodology. Meanwhile, using clustering analysis of keywords, we revealed the evolution of research hotspots and predicted future research focuses, thereby providing valuable information for the follow-up studies.MethodsWe selected publications on COVID-19 and immune response using our pre-designed search strategy. Web of Science was applied to screen the eligible publications for subsequent bibliometric analyses. GraphPad Prism 8.0, VOSviewer, and CiteSpace were applied to analyze the research trends and compared the contributions of countries, authors, institutions, and journals to the global publications in this field.ResultsWe identified 2,200 publications on COVID-19 and immune response published between December 1, 2019, and April 25, 2022, with a total of 3,154 citations. The United States (611), China (353), and Germany (209) ranked the top three in terms of the number of publications, accounting for 53.3% of the total articles. Among the top 15 institutions publishing articles in this area, four were from France, four were from the United States, and three were from China. The journal Frontiers in Immunology published the most articles (178) related to COVID-19 and immune response. Alessandro Sette (31 publications) from the United States were the most productive and influential scholar in this field, whose publications with the most citation frequency (3,633). Furthermore, the development and evaluation of vaccines might become a hotspot in relevant scope.ConclusionsThe United States makes the most indispensable contribution in this field in terms of publication numbers, total citations, and H-index. Although publications from China also take the lead regarding quality and quantity, their international cooperation and preclinical research need to be further strengthened. Regarding the citation frequency and the total number of published articles, the latest research progress might be tracked in the top-ranking journals in this field. By analyzing the chronological order of the appearance of retrieved keywords, we speculated that vaccine-related research might be the novel focus in this field.
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Affiliation(s)
- Yun Xia
- Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Ren-qi Yao
- Translational Medicine Research Center, Medical Innovation Research Division and Fourth Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China
- Department of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China
- Ren-qi Yao
| | - Peng-yue Zhao
- Department of General Surgery, First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China
| | - Zheng-bo Tao
- Department of Orthopedics, Changzheng Hospital, Naval Medical University, Shanghai, China
| | - Li-yu Zheng
- Translational Medicine Research Center, Medical Innovation Research Division and Fourth Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China
| | - Hui-ting Zhou
- Institute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, China
| | - Yong-ming Yao
- Translational Medicine Research Center, Medical Innovation Research Division and Fourth Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China
- Yong-ming Yao
| | - Xue-min Song
- Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, China
- *Correspondence: Xue-min Song
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Abu Shanap M, Sughayer M, Alsmadi O, Elzayat I, Al-Nuirat A, Tbakhi A, Sultan I. Factors that predict severity of infection and seroconversion in immunocompromised children and adolescents with COVID-19 infection. Front Immunol 2022; 13:919762. [PMID: 35990639 PMCID: PMC9381983 DOI: 10.3389/fimmu.2022.919762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesWe aimed to study the outcomes, severity, and seroconversion post SARS-CoV-2 infection in immunocompromised children and adolescents treated at our center.MethodFor this observational study, all pediatric patients who had COVID-19 infection from Sep-22-2020 to Nov-10-2021were identified by reviewing our laboratory records. Their charts were reviewed to determine clinical severity and outcome. Blood samples were drawn for anti-SARS-CoV-2 antibody assay. Serious COVID-19 infection (SVI) was defined if the patient had moderate, severe, or critical illness. A cutoff of 100 U/mL anti-SARS-CoV-2 antibodies was used to categorize low and high titer seroconversion.ResultsWe identified 263 pediatric patients with COVID-19; most (68%) were symptomatic: 5% had severe or critical infection, 25% were hospitalized, 12 required respiratory support, 12 were admitted to the ICU, and five patients (2%) died. Multivariable analysis revealed several factors that predict SVI: Age above 12 years (p=0.035), body mass index above 95th percentile (p=0.034), comorbid conditions (p=0.025), absolute neutrophil count ≤500(p=0.014) and absolute lymphocyte count ≤300 (p=0.022). Levels of anti-SARS-CoV-2 spike antibodies were obtained for 173 patients at a median of 94 days (range, 14–300) after PCR diagnosis; of them 142 (82%) patients seroconverted; the lowest seroconversion rate was observed in patients with hematological malignancies (79%). Our univariable model showed that the following factors were predictive of low titer: lower ANC, p=0.01; hematologic malignancy, p=0.023; receiving steroids in the last 14 days, p=0.032; time since last chemotherapy or immunosuppressive therapy less than 30 days, p=0.002; and being on active chemotherapy in the last 3 months prior to infection, p<0.001.ConclusionsSARS-CoV-2 antibodies developed in most immunocompromised patients with COVID-19 infection in our study. Mortality was relatively low in our patients. Our univariable and multivariable models showed multiple variables that predict severity of infections and antibody response post COVID-19 infection. These observations may guide choice of active therapy during infection and the best timing of vaccination in this high-risk population.
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Affiliation(s)
- Mayada Abu Shanap
- Department of Pediatrics, King Hussein Cancer Center, Amman, Jordan
- *Correspondence: Mayada Abu Shanap,
| | - Maher Sughayer
- Department of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman, Jordan
| | - Osama Alsmadi
- Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan
| | - Ismail Elzayat
- Department of Pediatrics, King Hussein Cancer Center, Amman, Jordan
| | - Abeer Al-Nuirat
- Department of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman, Jordan
| | - Abdelghani Tbakhi
- Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan
| | - Iyad Sultan
- Department of Pediatrics, King Hussein Cancer Center, Amman, Jordan
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Wang T, Miao F, Lv S, Li L, Wei F, Hou L, Sun R, Li W, Zhang J, Zhang C, Yang G, Xiang H, Meng K, Wan Z, Wang B, Feng G, Zhao Z, Luo D, Li N, Tu C, Wang H, Xue X, Liu Y, Gao Y. Proteomic and Metabolomic Characterization of SARS-CoV-2-Infected Cynomolgus Macaque at Early Stage. Front Immunol 2022; 13:954121. [PMID: 35903092 PMCID: PMC9315341 DOI: 10.3389/fimmu.2022.954121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 06/15/2022] [Indexed: 11/26/2022] Open
Abstract
Although tremendous effort has been exerted to elucidate the pathogenesis of severe COVID-19 cases, the detailed mechanism of moderate cases, which accounts for 90% of all patients, remains unclear yet, partly limited by lacking the biopsy tissues. Here, we established the COVID-19 infection model in cynomolgus macaques (CMs), monitored the clinical and pathological features, and analyzed underlying pathogenic mechanisms at early infection stage by performing proteomic and metabolomic profiling of lung tissues and sera samples from COVID-19 CMs models. Our data demonstrated that innate immune response, neutrophile and platelet activation were mainly dysregulated in COVID-19 CMs. The symptom of neutrophilia, lymphopenia and massive "cytokines storm", main features of severe COVID-19 patients, were greatly weakened in most of the challenged CMs, which are more semblable as moderate patients. Thus, COVID-19 model in CMs is rational to understand the pathogenesis of moderate COVID-19 and may be a candidate model to assess the safety and efficacy of therapeutics and vaccines against SARS-CoV-2 infection.
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Affiliation(s)
- Tiecheng Wang
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, China
| | - Faming Miao
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, China
| | - Shengnan Lv
- Department of Hepatobiliary and Pancreas Surgery, Jilin University First Hospital, Changchun, China
| | - Liang Li
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, China
| | - Feng Wei
- Department of Hepatobiliary and Pancreas Surgery, Jilin University First Hospital, Changchun, China
| | - Lihua Hou
- Vaccine and Antibody Engineering Laboratory, Beijing Institute of Biotechnology, Beijing, China
| | - Renren Sun
- Key Laboratory of Organ Regeneration & Transplantation of Ministry of Education, and National-Local Joint Engineering Laboratory of Animal Models for Human Diseases, The First Hospital of Jilin University, Changchun, China
| | - Wei Li
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Jian Zhang
- Department of Hepatobiliary and Pancreas Surgery, Jilin University First Hospital, Changchun, China
| | - Cheng Zhang
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Guang Yang
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Haiyang Xiang
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Keyin Meng
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Zhonghai Wan
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Busen Wang
- Vaccine and Antibody Engineering Laboratory, Beijing Institute of Biotechnology, Beijing, China
| | - Guodong Feng
- Department of Neurology, Zhongshan Hospital Fudan University, Shanghai, China
| | - Zhongpeng Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Deyan Luo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Nan Li
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Changchun Tu
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, China
| | - Hui Wang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Xiaochang Xue
- National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, The Key Laboratory of Medicinal Resources and Natural Pharmaceutical Chemistry, The Ministry of Education, College of Life Sciences, Shaanxi Normal University, Xi’an, China
| | - Yan Liu
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, China
| | - Yuwei Gao
- Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, China
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30
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Gao H, Yu L, Yan F, Zheng Y, Huang H, Zhuang X, Zeng Y. Landscape of B Cell Receptor Repertoires in COVID-19 Patients Revealed Through CDR3 Sequencing of Immunoglobulin Heavy and Light Chains. Immunol Invest 2022; 51:1994-2008. [PMID: 35797435 DOI: 10.1080/08820139.2022.2092407] [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: 11/05/2022]
Abstract
The outbreak and persistence of coronavirus disease 2019 (COVID-19) threaten human health. B cells play a vital role in fighting the infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite many studies on the immune responses in COVID-19 patients, it is still unclear how B cell receptor (BCR) constituents, including immunoglobulin heavy (IGHs) and light chains (IGLs), respond to SARS-CoV-2 in patients with varying symptoms. In this study, we conducted complementarity-determining region 3 (CDR3) sequencing of BCR IGHs and IGLs from the peripheral blood of COVID-19 patients and healthy donors. The results showed significantly reduced clonal diversity, more expanded clones, and longer CDR3 lengths of IGH and IGL in COVID-19 patients than those in healthy individuals. The IGLs had a much higher percentage of VJ skew usage (47.83% IGLV and 42.86% IGLJ were significantly regulated) than the IGHs (12.09% IGHV and 0% IGHJ) between the healthy individuals and patients, which indicated the importance of BCR light chains. Furthermore, we found a largely expanded IGLV3-25 gene cluster mostly pairing with IGLJ1 and ILGJ2 in COVID-19 patients and a newly identified upregulated IGLJ1 gene and IGLJ2+IGLV13-21 recombination, both of which are potential sources of SARS-CoV-2-targeting antibodies. Our findings on specific immune B-cell signatures associated with COVID-19 have clinical implications for vaccine and biomarker development for disease diagnosis.
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Affiliation(s)
- Hongzhi Gao
- Central Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.,Department of Respiratory Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Liying Yu
- Central Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Furong Yan
- Central Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Youxian Zheng
- Department of Microbiology, Quanzhou Municipal Center for Disease Control and Prevention, Fujian Province, Quanzhou, China
| | - Hongbo Huang
- Department of Pulmonary and Critical Care Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xibin Zhuang
- Department of Pulmonary and Critical Care Medicine, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yiming Zeng
- Department of Respiratory Medicine, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
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31
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SARS-CoV-2-Specific and Functional Cytotoxic CD8 Cells in Primary Antibody Deficiency: Natural Infection and Response to Vaccine. J Clin Immunol 2022; 42:914-922. [PMID: 35366743 PMCID: PMC8976534 DOI: 10.1007/s10875-022-01256-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 03/21/2022] [Indexed: 12/22/2022]
Abstract
PURPOSE CD8 cytotoxic T cells (CTLs) play a critical role in the clearance of virally infected cells. SARS-CoV-2-specific CD8 T cells and functional CTLs in natural infections and following COVID-19 vaccine in primary antibody deficiency (PAD) have not been reported. In this study, we evaluated T cell response following COVID-19 or COVID-19 mRNA vaccination in patients with PADs by assessing SARS-CoV-2 tetramer-positive CD8 T cells and functional CTLs. METHODS SARS-CoV-2-specific CD8 and functional CTLs were examined in a patient with X-linked agammaglobulinemia (XLA) and a patient with common variable immunodeficiency (CVID) following COVID-19 infection, and in 5 patients with CVID and 5 healthy controls 1 month following 2nd dose of COVID-19 mRNA vaccine (Pfizer-BioNTech). Cells were stained with SARS-CoV-2 spike protein-specific tetramers, and for functional CTLs (CD8+ CD107a+ granzyme B+ perforin+), with monoclonal antibodies and isotype controls and analyzed by flow cytometry. RESULTS SARS-CoV-2-specific tetramer + CD8 T cells and functional CTLs in the patient with XLA following COVID-19 infection were higher, as compared to healthy control subject following COVID-19 infection. On the other hand, SARS-CoV2-tetramer + CD8 T cells and functional CTLs were lower in CVID patient following COVID19 infection as compared to healthy control following COVID-19 infection. SARS-CoV2-tetramer + CD8 T cells and functional CTLs were significantly lower in SARS-CoV2-naive CVID patients (n = 10) following vaccination when compared to SARS-CoV-2-naive healthy vaccinated controls (n = 10). CONCLUSIONS CVID is associated with reduced SARS-CoV-2-specific CD8 T cells and functional CTLs in both natural SARS-CoV-2 infection and in response to SARS-CoV-2 mRNA vaccine, whereas natural infection in XLA is associated with a robust SARS-CoV-2-specific CD8 and functional CTL responses.
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32
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Long-lasting adaptive Immune memory specific to SARS-CoV-2 in convalescent COVID-19 Stable People living with HIV. AIDS 2022; 36:1373-1382. [PMID: 35730384 DOI: 10.1097/qad.0000000000003276] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE While the course of natural immunization specific to SARS-CoV-2 has been described among convalescent coronavirus disease 2019 (COVID-19) people without HIV (PWOH), a thorough evaluation of long-term serological and functional T- and B-cell immune memory among people with HIV (PWH) has not been reported. METHODS Eleven stable PWH developing mild (n = 5) and severe (n = 6) COVID-19 and 39 matched PWOH individuals with mild (MILD) (n = 20) and severe (SEV) (n = 19) COVID-19 infection were assessed and compared at 3 and 6 months after infection for SARS-CoV-2-specific serology, polyfunctional cytokine (interferon-γ [IFN-γ], interleukin 2 [IL-2], IFN-γ/IL-2, IL-21) producing T-cell frequencies against four main immunogenic antigens and for circulating SARS-CoV-2-specific immunoglobulin G (IgG)-producing memory B-cell (mBc). RESULTS In all time points, all SARS-COV-2-specific adaptive immune responses were highly driven by the clinical severity of COVID-19 infection, irrespective of HIV disease. Notably, while a higher proportion of mild PWH showed a higher decay on serological detection between the two time points as compared to PWOH, persistently detectable IgG-producing mBc were still detectable in most patients (4/4 (100%) for SEV PWH, 4/5 (80%) for MILD PWH, 10/13 (76.92%) for SEV PWOH and 15/18 (83.33%) for MILD PWOH). Likewise, SARS-CoV-2-specific IFN-γ-producing T-cell frequencies were detected in both PWH and PWOH, although significantly more pronounced among severe COVID-19 (6/6 (100%) for SEV PWH, 3/5 (60%) for MILD PWH, 18/19 (94.74%) for SEV PWOH and 14/19 (73.68%) for MILD PWOH). CONCLUSIONS PWH develop a comparable short and long-term natural functional cellular and humoral immune response than PWOH convalescent patients, which are highly influenced by the clinical severity of the COVID-19 infection.
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Cheng ML, Liu HY, Zhou C, Li RT, Zheng J, Qin YH, Yang N, Zhang Y, Huang JJ, Zhu Z, Meng QY, Wang GQ, Zhao H, Chen Y, Bai CQ, Qin CF, Li F. Longitudinal Dynamics of Cellular Responses in Recovered COVID-19 Patients. Front Immunol 2022; 13:911859. [PMID: 35663993 PMCID: PMC9161166 DOI: 10.3389/fimmu.2022.911859] [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: 04/03/2022] [Accepted: 05/06/2022] [Indexed: 12/15/2022] Open
Abstract
Safe and effective vaccines and therapeutics based on the understanding of antiviral immunity are urgently needed to end the COVID-19 pandemic. However, the understanding of these immune responses, especially cellular immune responses to SARS-CoV-2 infection, is limited. Here, we conducted a cohort study of COVID-19 patients who were followed and had blood collected to characterize the longitudinal dynamics of their cellular immune responses. Compared with healthy controls, the percentage of activation of SARS-CoV-2 S/N-specific T cells in recovered patients was significantly higher. And the activation percentage of S/N-specific CD8+ T cells in recovered patients was significantly higher than that of CD4+ T cells. Notably, SARS-CoV-2 specific T-cell responses were strongly biased toward the expression of Th1 cytokines, included the cytokines IFNγ, TNFα and IL2. Moreover, the secreted IFNγ and IL2 level in severe patients was higher than that in mild patients. Additionally, the number of IFNγ-secreting S-specific T cells in recovered patients were higher than that of N-specific T cells. Overall, the SARS-CoV-2 S/N-specific T-cell responses in recovered patients were strong, and virus-specific immunity was present until 14-16 weeks after symptom onset. Our work provides a basis for understanding the immune responses and pathogenesis of COVID-19. It also has implications for vaccine development and optimization and speeding up the licensing of the next generation of COVID-19 vaccines.
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Affiliation(s)
- Meng-Li Cheng
- Department of Pathogenobiology, The Key Laboratory of Zoonosis Research, Chinese Ministry of Education, College of Basic Medical Science, Jilin University, Changchun, China
| | - Hui-Ying Liu
- Department of Respiratory and Critical Care Diseases, The Fifth Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Chao Zhou
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Rui-Ting Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Jing Zheng
- Department of Respiratory and Critical Care Diseases, The Fifth Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Yan-Hong Qin
- Department of Respiratory and Critical Care Diseases, The Fifth Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Ning Yang
- Department of Respiratory and Critical Care Diseases, The Fifth Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Yue Zhang
- Department of Respiratory and Critical Care Diseases, The Fifth Medical Center, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Juan-Juan Huang
- Department of Pathogenobiology, The Key Laboratory of Zoonosis Research, Chinese Ministry of Education, College of Basic Medical Science, Jilin University, Changchun, China
| | - Zhu Zhu
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Qing-Yu Meng
- Department of Pathogenobiology, The Key Laboratory of Zoonosis Research, Chinese Ministry of Education, College of Basic Medical Science, Jilin University, Changchun, China
| | - Guo-Qing Wang
- Department of Pathogenobiology, The Key Laboratory of Zoonosis Research, Chinese Ministry of Education, College of Basic Medical Science, Jilin University, Changchun, China
| | - Hui Zhao
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Yun Chen
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Nanjing Medical University, Nanjing, China
| | - Chang-Qing Bai
- Department of Respiratory and Critical Care Medicine, Shenzhen University General Hospital, Shenzhen University, Shenzhen, China
| | - Cheng-Feng Qin
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Academy of Military Medical Sciences, Beijing, China
| | - Fan Li
- Department of Pathogenobiology, The Key Laboratory of Zoonosis Research, Chinese Ministry of Education, College of Basic Medical Science, Jilin University, Changchun, China.,China-Japan Union Hospital, Jilin University, Changchun, China
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Bai H, Ma J, Mao W, Zhang X, Nie Y, Hao J, Wang X, Qin H, Zeng Q, Hu F, Qi X, Chen X, Li D, Zhang B, Shi B, Zhang C. Identification of TCR repertoires in asymptomatic COVID-19 patients by single-cell T-cell receptor sequencing. Blood Cells Mol Dis 2022; 97:102678. [PMID: 35716403 PMCID: PMC9162783 DOI: 10.1016/j.bcmd.2022.102678] [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: 04/02/2022] [Revised: 05/29/2022] [Accepted: 05/29/2022] [Indexed: 12/03/2022]
Abstract
The T cell-mediated immune responses associated with asymptomatic infection (AS) of SARS-CoV-2 remain largely unknown. The diversity of T-cell receptor (TCR) repertoire is essential for generating effective immunity against viral infections in T cell response. Here, we performed the single-cell TCR sequencing of the PBMC samples from five AS subjects, 33 symptomatic COVID-19 patients and eleven healthy controls to investigate the size and the diversity of TCR repertoire. We subsequently analyzed the TCR repertoire diversity, the V and J gene segment deference, and the dominant combination of αβ VJ gene pairing among these three study groups. Notably, we revealed significant TCR preference in the AS group, including the skewed usage of TRAV1-2-J33-TRBV6-4-J2-2 and TRAV1-2-J33-TRBV6-1-J2-3. Our findings may shed new light on understanding the immunopathogenesis of COVID-19 and help identify optimal TCRs for development of novel therapeutic strategies against SARS-CoV-2 infection.
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Affiliation(s)
- Han Bai
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China; The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Junpeng Ma
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China; The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Weikang Mao
- LC-BIO TECHNOLOGIES (HANGZHOU) CO., LTD., Hanghzhou 310000, China
| | - Xuan Zhang
- Center for Molecular Diagnosis and Precision Medicine, The Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, 17 Yongwai Zhengjie, Nanchang 330006, China
| | - Yijun Nie
- Center for Molecular Diagnosis and Precision Medicine, The Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, 17 Yongwai Zhengjie, Nanchang 330006, China
| | - Jingcan Hao
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China
| | - Xiaorui Wang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China; The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Hongyu Qin
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China; The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Qiqi Zeng
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China; The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Fang Hu
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China; The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Xin Qi
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China; The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China
| | - Xiaobei Chen
- Department of Infectious Diseases, The Renmin Hospital of Wuhan University, East campus, Gaoxin 6th Road, East Lake New Technology Development Zone, Wuhan 430040, China
| | - Dong Li
- Department of Clinical Laboratory, The Renmin Hospital of Wuhan University, East campus, Gaoxin 6th Road, East Lake New Technology Development Zone, Wuhan 430040, China
| | - Binghong Zhang
- The Renmin Hospital of Wuhan University, East campus, Gaoxin 6th Road, East Lake New Technology Development Zone, Wuhan 430040, China
| | - Bingyin Shi
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China.
| | - Chengsheng Zhang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China; The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Building 21, Western China Science and Technology Innovation Harbor, Xi'an 710000, China; Center for Molecular Diagnosis and Precision Medicine, The Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, 17 Yongwai Zhengjie, Nanchang 330006, China; Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, China; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
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Richard D, Phillip S, Hosseinali A, Gracie DZ, Hai L, January W, Holtgrewe M, Charlotte T, Melina M, Xiaomin W, Zehra K, Jacopo S, Jan-Moritz D, Ralf-Harto H, Bernd H, Anja B, Sandra S, Dilduz T, Norbert S, Martin W, Stefan H, Carsten S, Wolfgang P, Leif E S, Dieter B, Florian K, Toumy G, Ulf L, Jan B, Khai L, Rubelt F, Bettina H. Highly multiplexed immune repertoire sequencing links multiple lymphocyte classes with severity of response to COVID-19. EClinicalMedicine 2022; 48:101438. [PMID: 35600330 PMCID: PMC9106482 DOI: 10.1016/j.eclinm.2022.101438] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 04/15/2022] [Accepted: 04/19/2022] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Disease progression of subjects with coronavirus disease 2019 (COVID-19) varies dramatically. Understanding the various types of immune response to SARS-CoV-2 is critical for better clinical management of coronavirus outbreaks and to potentially improve future therapies. Disease dynamics can be characterized by deciphering the adaptive immune response. METHODS In this cross-sectional study we analyzed 117 peripheral blood immune repertoires from healthy controls and subjects with mild to severe COVID-19 disease to elucidate the interplay between B and T cells. We used an immune repertoire Primer Extension Target Enrichment method (immunoPETE) to sequence simultaneously human leukocyte antigen (HLA) restricted T cell receptor beta chain (TRB) and unrestricted T cell receptor delta chain (TRD) and immunoglobulin heavy chain (IgH) immune receptor repertoires. The distribution was analyzed of TRB, TRD and IgH clones between healthy and COVID-19 infected subjects. Using McFadden's Adjusted R2 variables were examined for a predictive model. The aim of this study is to analyze the influence of the adaptive immune repertoire on the severity of the disease (value on the World Health Organization Clinical Progression Scale) in COVID-19. FINDINGS Combining clinical metadata with clonotypes of three immune receptor heavy chains (TRB, TRD, and IgH), we found significant associations between COVID-19 disease severity groups and immune receptor sequences of B and T cell compartments. Logistic regression showed an increase in shared IgH clonal types and decrease of TRD in subjects with severe COVID-19. The probability of finding shared clones of TRD clonal types was highest in healthy subjects (controls). Some specific TRB clones seems to be present in severe COVID-19 (Figure S7b). The most informative models (McFadden´s Adjusted R2=0.141) linked disease severity with immune repertoire measures across all three cell types, as well as receptor-specific cell counts, highlighting the importance of multiple lymphocyte classes in disease progression. INTERPRETATION Adaptive immune receptor peripheral blood repertoire measures are associated with COVID-19 disease severity. FUNDING The study was funded with grants from the Berlin Institute of Health (BIH).
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Affiliation(s)
| | - Suwalski Phillip
- Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, DE 10117, Germany
| | | | | | - Lin Hai
- Roche Sequencing Solutions Pleasanton, CA 94588, United States
| | - Weiner January
- Core Unit Bioinformatics Berlin, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, DE 10178, Germany
| | - Manuel Holtgrewe
- Core Unit Bioinformatics Berlin, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, DE 10178, Germany
| | - Thibeault Charlotte
- Department of Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, DE 12203, Germany
| | - Müller Melina
- Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, DE 10117, Germany
| | - Wang Xiaomin
- Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, DE 10117, Germany
| | - Karadeniz Zehra
- Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, DE 10117, Germany
| | - Saccomanno Jacopo
- Department of Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, DE 12203, Germany
| | - Doehn Jan-Moritz
- Department of Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, DE 12203, Germany
| | - Hübner Ralf-Harto
- Department of Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, DE 12203, Germany
| | | | - Blüher Anja
- Signature Diagnostics GmbH, DE 14473, Germany
| | | | - Telman Dilduz
- Roche Sequencing Solutions Pleasanton, CA 94588, United States
| | - Suttorp Norbert
- Department of Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, DE 12203, Germany
| | - Witzenrath Martin
- Department of Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, DE 12203, Germany
| | - Hippenstiel Stefan
- Department of Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, DE 12203, Germany
| | - Skurk Carsten
- Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, DE 10117, Germany
| | - Poller Wolfgang
- Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, DE 10117, Germany
| | - Sander Leif E
- Department of Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, DE 12203, Germany
| | - Beule Dieter
- Core Unit Bioinformatics Berlin, Berlin Institute of Health at Charité-Universitätsmedizin Berlin, DE 10178, Germany
| | - Kurth Florian
- Department of Infectious Diseases and Respiratory Medicine, Charité Universitätsmedizin Berlin, DE 12203, Germany
| | | | - Landmesser Ulf
- Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, DE 10117, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Germany
| | - Berka Jan
- Roche Sequencing Solutions Pleasanton, CA 94588, United States
| | - Luong Khai
- Roche Sequencing Solutions Pleasanton, CA 94588, United States
| | | | - Florian Rubelt
- Roche Sequencing Solutions Pleasanton, CA 94588, United States
| | - Heidecker Bettina
- Department of Cardiology, Charité Universitätsmedizin Berlin, Berlin, DE 10117, Germany
- Corresponding authors.
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Yang S, Tong Y, Chen L, Yu W. Human Identical Sequences, hyaluronan, and hymecromone ─ the new mechanism and management of COVID-19. MOLECULAR BIOMEDICINE 2022; 3:15. [PMID: 35593963 PMCID: PMC9120813 DOI: 10.1186/s43556-022-00077-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 05/04/2022] [Indexed: 02/08/2023] Open
Abstract
COVID-19 caused by SARS-CoV-2 has created formidable damage to public health and market economy. Currently, SARS-CoV-2 variants has exacerbated the transmission from person-to-person. Even after a great deal of investigation on COVID-19, SARS-CoV-2 is still rampaging globally, emphasizing the urgent need to reformulate effective prevention and treatment strategies. Here, we review the latest research progress of COVID-19 and provide distinct perspectives on the mechanism and management of COVID-19. Specially, we highlight the significance of Human Identical Sequences (HIS), hyaluronan, and hymecromone ("Three-H") for the understanding and intervention of COVID-19. Firstly, HIS activate inflammation-related genes to influence COVID-19 progress through NamiRNA-Enhancer network. Accumulation of hyaluronan induced by HIS-mediated HAS2 upregulation is a substantial basis for clinical manifestations of COVID-19, especially in lymphocytopenia and pulmonary ground-glass opacity. Secondly, detection of plasma hyaluronan can be effective for evaluating the progression and severity of COVID-19. Thirdly, spike glycoprotein of SARS-CoV-2 may bind to hyaluronan and further serve as an allergen to stimulate allergic reaction, causing sudden adverse effects after vaccination or the aggravation of COVID-19. Finally, antisense oligonucleotides of HIS or inhibitors of hyaluronan synthesis (hymecromone) or antiallergic agents could be promising therapeutic agents for COVID-19. Collectively, Three-H could hold the key to understand the pathogenic mechanism and create effective therapeutic strategies for COVID-19.
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Affiliation(s)
- Shuai Yang
- Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences & Shanghai Public Health Clinical Center & Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Key Laboratory of Medical Epigenetics, Shanghai, 200032, People's Republic of China
| | - Ying Tong
- Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences & Shanghai Public Health Clinical Center & Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Key Laboratory of Medical Epigenetics, Shanghai, 200032, People's Republic of China
| | - Lu Chen
- Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences & Shanghai Public Health Clinical Center & Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China
- Shanghai Key Laboratory of Medical Epigenetics, Shanghai, 200032, People's Republic of China
| | - Wenqiang Yu
- Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences & Shanghai Public Health Clinical Center & Department of General Surgery, Huashan Hospital, Cancer Metastasis Institute, Shanghai Medical College, Fudan University, Shanghai, 200032, People's Republic of China.
- Shanghai Key Laboratory of Medical Epigenetics, Shanghai, 200032, People's Republic of China.
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Feng W, Xiang Y, Wu L, Chen Z, Li Q, Chen J, Guo Y, Xia D, Chen N, Zhang L, Zhu S, Zhao K. Nucleocapsid protein of SARS‐CoV‐2 is a potential target for developing new generation of vaccine. J Clin Lab Anal 2022; 36:e24479. [PMID: 35527696 PMCID: PMC9169192 DOI: 10.1002/jcla.24479] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 03/28/2022] [Accepted: 04/23/2022] [Indexed: 11/11/2022] Open
Abstract
Background Methods Results Conclusion
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Affiliation(s)
- Weixu Feng
- School of Basic Medical Science Wenzhou Medical University Wenzhou China
| | - Yunru Xiang
- School of Basic Medical Science Wenzhou Medical University Wenzhou China
| | - Lianpeng Wu
- Department of Laboratory Medicine The Sixth People Hospital of Wenzhou Wenzhou China
| | - Zhuo Chen
- School of Basic Medical Science Wenzhou Medical University Wenzhou China
| | - Qingfeng Li
- School of Basic Medical Science Wenzhou Medical University Wenzhou China
| | - Jun Chen
- School of Basic Medical Science Wenzhou Medical University Wenzhou China
| | - Yanru Guo
- School of Basic Medical Science Wenzhou Medical University Wenzhou China
| | - Dandan Xia
- Department of Laboratory Medicine The Sixth People Hospital of Wenzhou Wenzhou China
| | - Na Chen
- Department of Laboratory Medicine The Sixth People Hospital of Wenzhou Wenzhou China
| | - Lifang Zhang
- School of Basic Medical Science Wenzhou Medical University Wenzhou China
| | - Shanli Zhu
- School of Basic Medical Science Wenzhou Medical University Wenzhou China
| | - Kong‐Nan Zhao
- School of Basic Medical Science Wenzhou Medical University Wenzhou China
- Department of Obstetrics and Gynaecology The Second Affiliated Hospital and Yuyin Children Hospital of Wenzhou Medical University Wenzhou China
- Australian Institute for Bioengineering and Nanotechnology The University of Queensland St Lucia Queensland Australia
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He Y, Dong YC. A Perspective on Re-Detectable Positive SARS-CoV-2 Nucleic Acid Results in Recovered COVID-19 Patients. Disaster Med Public Health Prep 2022; 16:482-486. [PMID: 33087207 PMCID: PMC7783137 DOI: 10.1017/dmp.2020.392] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 09/17/2020] [Accepted: 09/27/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVES There have been reports on re-detectable positive nucleic acid tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in recovered coronavirus disease (COVID-19) patients. In this study, we look at the clinical characteristics, possible causes, pathogenesis, and infectivity of re-detectable positive patients and provide up-to-date information to public health policy planners and clinicians. METHODS By consulting the latest research data and related progress data of re-detectable positive patients, this study addresses the implications that this special group brings to clinical work and disease prevention and control. RESULTS We discuss in detail the phenomenon of re-detectable positive nucleic acid tests for recovered patients. There are many possible causes of a re-detectable positive, but there is no 1 factor that can fully explain this phenomenon. CONCLUSIONS It can't be completely ruled out that the re-detectable positive patients are infectious. We should be alert to these re-detectable positive patients becoming chronic virus carriers, and virus serological IgM and IgG antibody tests should be added before patient discharge. It is urgent to find a more powerful evidence-based and virological basis for the integrity of viral ribonucleic acid and the variation of viral virulence with time through cell experiments in vitro and animal experiments in vivo.
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Affiliation(s)
- Yanfei He
- Department of Cadre Health Care, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yu-Chao Dong
- Department of Respiratory and Critical Care Medicine, Shanghai Hospital, Naval Medical University, Shanghai, China
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Mortezaee K, Majidpoor J. CD8 + T Cells in SARS-CoV-2 Induced Disease and Cancer-Clinical Perspectives. Front Immunol 2022; 13:864298. [PMID: 35432340 PMCID: PMC9010719 DOI: 10.3389/fimmu.2022.864298] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/07/2022] [Indexed: 12/13/2022] Open
Abstract
Dysregulated innate and adaptive immunity is a sign of SARS-CoV-2-induced disease and cancer. CD8+ T cells are important cells of the immune system. The cells belong to the adaptive immunity and take a front-line defense against viral infections and cancer. Extreme CD8+ T-cell activities in the lung of patients with a SARS-CoV-2-induced disease and within the tumor microenvironment (TME) will change their functionality into exhausted state and undergo apoptosis. Such diminished immunity will put cancer cases at a high-risk group for SARS-CoV-2-induced disease, rendering viral sepsis and a more severe condition which will finally cause a higher rate of mortality. Recovering responses from CD8+ T cells is a purpose of vaccination against SARS-CoV-2. The aim of this review is to discuss the CD8+ T cellular state in SARS-CoV-2-induced disease and in cancer and to present some strategies for recovering the functionality of these critical cells.
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Affiliation(s)
- Keywan Mortezaee
- Department of Anatomy, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Jamal Majidpoor
- Department of Anatomy, Faculty of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
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Chai M, Guo Y, Yang L, Li J, Liu S, Chen L, Shen Y, Yang Y, Wang Y, Xu L, Yu C. A high-throughput single cell-based antibody discovery approach against the full-length SARS-CoV-2 spike protein suggests a lack of neutralizing antibodies targeting the highly conserved S2 domain. Brief Bioinform 2022; 23:6561436. [PMID: 35362510 DOI: 10.1093/bib/bbac070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 01/25/2022] [Accepted: 02/12/2022] [Indexed: 12/12/2022] Open
Abstract
Coronavirus disease 2019 pandemic continues globally with a growing number of infections, but there are currently no effective antibody drugs against the virus. In addition, 90% amino acid sequence identity between the S2 subunit of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and SARS-CoV S proteins attracts us to examine S2-targeted cross-neutralizing antibodies that are not yet well defined. We therefore immunized RenMab mice with the full-length S protein and constructed a high-throughput antibody discovery method based on single-cell sequencing technology to isolate SARS-CoV-2 S-targeted neutralizing antibodies and cross-neutralizing antibodies against the S2 region of SARS-CoV-2/SARS-CoV S. Diversity of antibody sequences in RenMab mice and consistency in B-cell immune responses between RenMab mice and humans enabled screening of fully human virus-neutralizing antibodies. From all the frequency >1 paired clonotypes obtained from single-cell V(D)J sequencing, 215 antibodies with binding affinities were identified and primarily bound S2. However, only two receptor-binding domain-targeted clonotypes had neutralizing activity against SARS-CoV-2. Moreover, 5' single-cell RNA sequencing indicated that these sorted splenic B cells are mainly plasmablasts, germinal center (GC)-dependent memory B-cells and GC B-cells. Among them, plasmablasts and GC-dependent memory B-cells were considered the most significant possibility of producing virus-specific antibodies. Altogether, using a high-throughput single cell-based antibody discovery approach, our study highlighted the challenges of developing S2-binding neutralizing antibodies against SARS-CoV-2 and provided a novel direction for the enrichment of antigen-specific B-cells.
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Affiliation(s)
- Mengya Chai
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - Yajuan Guo
- Beijing Biocytogen Co., Ltd, Beijing 101111, China
| | - Liu Yang
- Beijing Biocytogen Co., Ltd, Beijing 101111, China
| | - Jianhui Li
- Beijing Biocytogen Co., Ltd, Beijing 101111, China
| | - Shuo Liu
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) and WHO Collaborating Center for Standardization and Evaluation of Biologicals, Beijing 102629, China
| | - Lei Chen
- Beijing Biocytogen Co., Ltd, Beijing 101111, China
| | - Yuelei Shen
- Beijing Biocytogen Co., Ltd, Beijing 101111, China
| | - Yi Yang
- Beijing Biocytogen Co., Ltd, Beijing 101111, China
| | - Youchun Wang
- Division of HIV/AIDS and Sex-transmitted Virus Vaccines, Institute for Biological Product Control, National Institutes for Food and Drug Control (NIFDC) and WHO Collaborating Center for Standardization and Evaluation of Biologicals, Beijing 102629, China
| | - Lida Xu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
| | - Changyuan Yu
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
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Gonzalez FA, Ângelo-Dias M, Martins C, Gomes R, Bacariza J, Fernandes A, Borrego LM, Group E. Characteristic Immune Dynamics in COVID-19 Patients with Cardiac Dysfunction. J Clin Med 2022; 11:jcm11071880. [PMID: 35407485 PMCID: PMC8999785 DOI: 10.3390/jcm11071880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/13/2022] [Accepted: 03/26/2022] [Indexed: 12/19/2022] Open
Abstract
Background: We aimed to explore immune parameters in COVID-19 patients admitted to the intensive care unit (ICU) to identify distinctive features in patients with cardiac injury. Methods: A total of 30 COVID-19 patients >18 years admitted to the ICU were studied on days D1, D3 and D7 after admission. Cardiac function was assessed using speckle-tracking echocardiography (STE). Peripheral blood immunophenotyping, cardiac (pro-BNP; troponin) and inflammatory biomarkers were simultaneously evaluated. Results: Cardiac dysfunction (DYS) was detected by STE in 73% of patients: 40% left ventricle (LV) systolic dysfunction, 60% LV diastolic dysfunction, 37% right ventricle systolic dysfunction. High-sensitivity cardiac troponin (hs-cTn) was detectable in 43.3% of the patients with a median value of 13.00 ng/L. There were no significant differences between DYS and nDYS patients regarding mortality, organ dysfunction, cardiac (including hs-cTn) or inflammatory biomarkers. Patients with DYS showed persistently lower lymphocyte counts (median 896 [661−1837] cells/µL vs. 2141 [924−3306] cells/µL, p = 0.058), activated CD3 (median 85 [66−170] cells/µL vs. 186 [142−259] cells/µL, p = 0.047) and CD4 T cells (median 33 [28−40] cells/µL vs. 63 [48−79] cells/µL, p = 0.005), and higher effector memory T cells (TEM) at baseline (CD4%: 10.9 [6.4−19.2] vs. 5.9 [4.2−12.8], p = 0.025; CD8%: 15.7 [7.9−22.8] vs. 8.1 [7.7−13.7], p = 0.035; CD8 counts: 40 cells/µL [17−61] vs. 10 cells/µL [7−17], p = 0.011) than patients without cardiac dysfunction. Conclusion: Our study suggests an association between the immunological trait and cardiac dysfunction in severe COVID-19 patients.
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Affiliation(s)
- Filipe André Gonzalez
- Intensive Care Department, Hospital Garcia de Orta, 2805-267 Almada, Portugal; (R.G.); (J.B.); (A.F.)
- Correspondence: ; Tel.: +351-91-793-2502
| | - Miguel Ângelo-Dias
- CEDOC—Chronic Diseases Research Center, NOVA Medical School, NOVA University of Lisbon, 1099-085 Lisbon, Portugal; (M.Â.-D.); (C.M.); (L.M.B.)
| | - Catarina Martins
- CEDOC—Chronic Diseases Research Center, NOVA Medical School, NOVA University of Lisbon, 1099-085 Lisbon, Portugal; (M.Â.-D.); (C.M.); (L.M.B.)
| | - Rui Gomes
- Intensive Care Department, Hospital Garcia de Orta, 2805-267 Almada, Portugal; (R.G.); (J.B.); (A.F.)
| | - Jacobo Bacariza
- Intensive Care Department, Hospital Garcia de Orta, 2805-267 Almada, Portugal; (R.G.); (J.B.); (A.F.)
| | - Antero Fernandes
- Intensive Care Department, Hospital Garcia de Orta, 2805-267 Almada, Portugal; (R.G.); (J.B.); (A.F.)
| | - Luís Miguel Borrego
- CEDOC—Chronic Diseases Research Center, NOVA Medical School, NOVA University of Lisbon, 1099-085 Lisbon, Portugal; (M.Â.-D.); (C.M.); (L.M.B.)
- Immunoallergy Department, Hospital da Luz Lisboa, 1500-650 Lisbon, Portugal
| | - EchoCrit Group
- Intensive Care Department, Hospital Garcia de Orta, 2805-267 Almada, Portugal; (R.G.); (J.B.); (A.F.)
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Xiao C, Mao L, Wang Z, Gao L, Zhu G, Su J, Chen X, Yuan J, Hu Y, Yin Z, Xie J, Ji W, Niu H, Gao F, Luo OJ, Xiao L, Wang P, Chen G. SARS-CoV-2 variant B.1.1.7 caused HLA-A2 + CD8 + T cell epitope mutations for impaired cellular immune response. iScience 2022; 25:103934. [PMID: 35194575 PMCID: PMC8851741 DOI: 10.1016/j.isci.2022.103934] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 09/29/2021] [Accepted: 02/14/2022] [Indexed: 12/15/2022] Open
Abstract
Here, we evaluated the immune properties of the HLA-A2 restricted CD8+ T cell epitopes containing mutations from B.1.1.7, and furthermore performed a comprehensive analysis of the SARS-CoV-2 specific CD8+ T cell responses from COVID-19 convalescent patients and SARS-CoV-2 vaccinees recognizing the ancestral Wuhan strain compared to B.1.1.7. First, most of the predicted CD8+ T cell epitopes showed proper binding with HLA-A2, whereas epitopes from B.1.1.7 had lower binding capability than those from the ancestral strain. In addition, these peptides could effectively induce the activation and cytotoxicity of CD8+ T cells. Our results further showed that at least two site mutations in B.1.1.7 resulted in a decrease in CD8+ T cell activation and a possible immune evasion, namely A1708D mutation in ORF1ab1707-1716 and I2230T mutation in ORF1ab2230-2238. Our current analysis provides information that contributes to the understanding of SARS-CoV-2-specific CD8+ T cell responses elicited by infection of mutated strains or vaccination.
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Affiliation(s)
- Chanchan Xiao
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou 510000, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou 510000, China
| | - Lipeng Mao
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou 510000, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou 510000, China
| | - Zhigang Wang
- Affiliated Huaqiao Hospital, Jinan University, Guangzhou 510000, China
| | - Lijuan Gao
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou 510000, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou 510000, China
| | - Guodong Zhu
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou 510000, China
- Department of Geriatrics, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510000, China
| | - Jun Su
- Affiliated Huaqiao Hospital, Jinan University, Guangzhou 510000, China
| | - Xiongfei Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510000, China
| | - Jun Yuan
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510000, China
| | - Yutian Hu
- Meng Yi Center Limited, Macau 999078, China
| | - Zhinan Yin
- Biomedical Translational Research Institute, Jinan University, Guangzhou 510000, China
| | - Jun Xie
- ShangHai GuangHua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200052, China
- Arthritis Institute of Integrated Traditional Chinese and Western Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai University of Chinese Traditional Medicine, Shanghai 200052, China
| | - Weiqing Ji
- ShangHai GuangHua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200052, China
- Arthritis Institute of Integrated Traditional Chinese and Western Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai University of Chinese Traditional Medicine, Shanghai 200052, China
| | - Haitao Niu
- School of Medicine & Institute of Laboratory Animal Sciences, Jinan University, Guangzhou 510000, China
| | - Feng Gao
- School of Medicine, Jinan University, Guangzhou 510000, China
| | - Oscar Junhong Luo
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou 510000, China
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou 510000, China
| | - Lianbo Xiao
- ShangHai GuangHua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200052, China
- Arthritis Institute of Integrated Traditional Chinese and Western Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai University of Chinese Traditional Medicine, Shanghai 200052, China
| | - Pengcheng Wang
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou 510000, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou 510000, China
| | - Guobing Chen
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou 510000, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou 510000, China
- Affiliated Huaqiao Hospital, Jinan University, Guangzhou 510000, China
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Akelew Y, Andualem H, Ebrahim E, Atnaf A, Hailemichael W. Immunomodulation of COVID‐19 severity by helminth co‐infection: Implications for COVID‐19 vaccine efficacy. Immun Inflamm Dis 2022; 10:e573. [PMID: 34861106 PMCID: PMC8926508 DOI: 10.1002/iid3.573] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/07/2021] [Accepted: 11/24/2021] [Indexed: 12/19/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), an emerging virus in late 2019 causing coronavirus disease 2019 (COVID‐19), has caused a catastrophic effect, resulting in an unprecedented global crisis. The immunopathology of COVID‐19 appears to be clearly associated with a dysregulated immune response leading to organ failure and death. Similarly, over two billion people worldwide are infected with helminth, with those living in low‐middle‐income countries disproportionately affected. Helminth infections have been shown to possess immunomodulatory effects in several conditions. Helminth co‐infection in COVID‐19 patients is one of the potential reasons for global attention to answer why COVID‐19 severity is still lower in helminth endemic countries. Recent studies have shown that helminth endemic countries showed fewer cases and deaths so far and helminth co‐infection might reduce the severity of COVID‐19. Moreover, lessons from other diseases with helminth co‐infection have been shown to substantially reduce vaccine efficacy that could also be implicated for COVID‐19. This immunomodulatory effect of helminth has intended and unintended consequences, both advantageous and disadvantageous which could decrease the severity of COVID‐19 and COVID‐19 vaccine efficacy respectively. Herewith, we discuss the overview of COVID‐19 immune response, immunomodulatory effects of helminth co‐infections in COVID‐19, lessons from other diseases, and perspectives on the efficacy of COVID‐19 vaccines.
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Affiliation(s)
- Yibeltal Akelew
- Immunology and Molecular Biology, Medical Laboratory Sciences, College of Health Sciences Debre Markos University Debre Markos Ethiopia
| | - Henok Andualem
- Immunology and Molecular Biology, Medical Laboratory Sciences, College of Health Sciences Debre Tabor University Debre Tabor Ethiopia
| | - Endris Ebrahim
- Immunology and Molecular Biology, Medical Laboratory Sciences, College of Health Sciences Wollo University Dessie Ethiopia
| | - Aytenew Atnaf
- Hematology and Immunohematology, Medical Laboratory Sciences, College of Health Sciences Debre Markos University Debre Markos Ethiopia
| | - Wasihun Hailemichael
- Immunology and Molecular Biology, Medical Laboratory Sciences, College of Health Sciences Debre Tabor University Debre Tabor Ethiopia
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Nair S, Chen X. Biology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the humoral immunoresponse: a systematic review of evidence to support global policy-level actions and research. GLOBAL HEALTH JOURNAL 2022; 6:38-43. [PMID: 34840854 PMCID: PMC8603838 DOI: 10.1016/j.glohj.2021.11.005] [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: 06/06/2021] [Revised: 09/12/2021] [Accepted: 11/14/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Both population-level epidemiological data and individual-level biological data are needed to control the coronavirus disease 2019 (COVID-19) pandemic. Population-level data are widely available and efforts to combat COVID-19 have generated proliferate data on the biology and immunoresponse to the causative pathogen, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there remains a paucity of systemized data on this subject. OBJECTIVE In this review, we attempt to extract systemized data on the biology and immuno-response to SARS-CoV-2 from the most up-to-date peer-reviewed studies. We will focus on the biology of the virus and immunological variations that are key for determining long-term immunity, transmission potential, and prognosis. DATA SOURCES AND METHODS Peer-reviewed articles were sourced from the PubMed database and by snowballing search of selected publications. Search terms included: "Novel Coronavirus" OR "COVID-19" OR "SARS-CoV-2" OR "2019-nCoV" AND "Immunity" OR "Immune Response" OR "Antibody Response" OR "Immunologic Response". Studies published from December 31, 2019 to December 31, 2020 were included. To ensure validity, papers in pre-print were excluded. RESULTS Of 2 889 identified papers, 36 were included. Evidence from these studies suggests early seroconversion in patients infected with SARS-CoV-2. Antibody titers appear to markedly increase two weeks after infection, followed by a plateau. A more robust immune response is seen in patients with severe COVID-19 as opposed to mild or asymptomatic presentations. This trend persists with regard to the length of antibody maintenance. However, overall immunity appears to wane within two to three months post-infection. CONCLUSION Findings of this study indicate that immune responses to SARS-CoV-2 follow the general pattern of viral infection. Immunity generated through natural infection appears to be short, suggesting a need for long-term efforts to control the pandemic. Antibody testing will be essential to gauge the epidemic and inform decision-making on effective strategies for treatment and prevention. Further research is needed to illustrate immunoglobulin-specific roles and neutralizing antibody activity.
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Exploring COVID-19 at the single-cell level: a narrative review. JOURNAL OF BIO-X RESEARCH 2022. [DOI: 10.1097/jbr.0000000000000109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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46
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Evaluation of the Levels of Peripheral CD3 +, CD4 +, and CD8 + T Cells and IgG and IgM Antibodies in COVID-19 Patients at Different Stages of Infection. Microbiol Spectr 2022; 10:e0084521. [PMID: 35196808 PMCID: PMC8865559 DOI: 10.1128/spectrum.00845-21] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection affects the stimulatory levels of cellular-mediated immunity, which plays an essential role in controlling SARS-CoV-2 infection. In fact, several studies have shown the association of lymphopenia with severe COVID-19 in patients. The aim of this study is to investigate the response of the immune system, including cell-mediated immunity and antibody production, during different stages of SARS-CoV-2 infection. Peripheral blood and serum samples were collected from patients with moderate infection, patients under medication (hospitalized), patients who had recovered, and healthy individuals (n = 80). Flow cytometry analysis was performed on peripheral blood samples to determine the cellular immunity profile of each patient. The data showed a significant reduction in the levels of CD3+, CD4+, and CD8+ T cells and CD45+ cells in the moderate and under-medication groups, suggesting lymphopenia in those patients. Also, enzyme-linked immunosorbent assay (ELISA) was conducted on the serum samples to measure the levels of antibodies, including IgM and IgG, in each patient. The results revealed a significant increase in the levels of IgM in the moderate infection and under-medication patients, thus indicating the production of IgM during the first week of infection. Furthermore, changes in the levels of IgG were significantly detected among recovered patients, indicating therefore a remarkable increase during the recovery stage of SARS-CoV-2 infection and thus a strong humoral-mediated immunity. In summary, the results of this study may help us to understand the main role of the cellular immune responses, including CD3+, CD4+, and CD8+ T cells, against SARS-CoV-2 infection. This understanding might support the development of SARS-CoV-2 treatments and vaccines in the near future. IMPORTANCE Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in late 2019 in China. This virus is a serious threat to people not only in China but also worldwide, where it has been detected in over 222 countries. It has been reported that ∼3.4% of SARS-CoV-2-infected patients have died. The significance of our study relies on the fact that an enzyme-linked immunosorbent assay and flow cytometry were used to measure the levels of antibodies and cellular immune response, respectively, from clinical samples of patients infected with SARS-CoV-2.
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Li X, Garg M, Jia T, Liao Q, Yuan L, Li M, Wu Z, Wu W, Bi Y, George N, Papatheodorou I, Brazma A, Luo H, Fang S, Miao Z, Shu Y. Single-Cell Analysis Reveals the Immune Characteristics of Myeloid Cells and Memory T Cells in Recovered COVID-19 Patients With Different Severities. Front Immunol 2022; 12:781432. [PMID: 35046942 PMCID: PMC8762286 DOI: 10.3389/fimmu.2021.781432] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/03/2021] [Indexed: 12/20/2022] Open
Abstract
Despite many studies on the immune characteristics of Coronavirus disease 2019 (COVID-19) patients in the progression stage, a detailed understanding of pertinent immune cells in recovered patients is lacking. We performed single-cell RNA sequencing on samples from recovered COVID-19 patients and healthy controls. We created a comprehensive immune landscape with more than 260,000 peripheral blood mononuclear cells (PBMCs) from 41 samples by integrating our dataset with previously reported datasets, which included samples collected between 27 and 47 days after symptom onset. According to our large-scale single-cell analysis, recovered patients, who had severe symptoms (severe/critical recovered), still exhibited peripheral immune disorders 1-2 months after symptom onset. Specifically, in these severe/critical recovered patients, human leukocyte antigen (HLA) class II and antigen processing pathways were downregulated in both CD14 monocytes and dendritic cells compared to healthy controls, while the proportion of CD14 monocytes increased. These may lead to the downregulation of T-cell differentiation pathways in memory T cells. However, in the mild/moderate recovered patients, the proportion of plasmacytoid dendritic cells increased compared to healthy controls, accompanied by the upregulation of HLA-DRA and HLA-DRB1 in both CD14 monocytes and dendritic cells. In addition, T-cell differentiation regulation and memory T cell-related genes FOS, JUN, CD69, CXCR4, and CD83 were upregulated in the mild/moderate recovered patients. Further, the immunoglobulin heavy chain V3-21 (IGHV3-21) gene segment was preferred in B-cell immune repertoires in severe/critical recovered patients. Collectively, we provide a large-scale single-cell atlas of the peripheral immune response in recovered COVID-19 patients.
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Affiliation(s)
- Xu Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Manik Garg
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Tingting Jia
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Qijun Liao
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Lifang Yuan
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Mao Li
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Zhengyu Wu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Weihua Wu
- Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Yalan Bi
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Nancy George
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Irene Papatheodorou
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Alvis Brazma
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Huanle Luo
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Shisong Fang
- Major Infectious Disease Control Key Laboratory, Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Zhichao Miao
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom.,Translational Research Institute of Brain and Brain-Like Intelligence and Department of Anesthesiology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Yuelong Shu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
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Evangelou K, Veroutis D, Paschalaki K, Foukas PG, Lagopati N, Dimitriou M, Papaspyropoulos A, Konda B, Hazapis O, Polyzou A, Havaki S, Kotsinas A, Kittas C, Tzioufas AG, de Leval L, Vassilakos D, Tsiodras S, Stripp BR, Papantonis A, Blandino G, Karakasiliotis I, Barnes PJ, Gorgoulis VG. Pulmonary infection by SARS-CoV-2 induces senescence accompanied by an inflammatory phenotype in severe COVID-19: possible implications for viral mutagenesis. Eur Respir J 2022; 60:13993003.02951-2021. [PMID: 35086840 PMCID: PMC8796696 DOI: 10.1183/13993003.02951-2021] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/24/2021] [Indexed: 02/07/2023]
Abstract
Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection of the respiratory system can progress to a multisystemic disease with aberrant inflammatory response. Cellular senescence promotes chronic inflammation, named senescence-associated secretory phenotype (SASP). We investigated whether coronavirus disease 2019 (COVID-19) is associated with cellular senescence and SASP. Methods Autopsy lung tissue samples from 11 COVID-19 patients and 43 age-matched non-COVID-19 controls with similar comorbidities were analysed by immunohistochemistry for SARS-CoV-2, markers of senescence and key SASP cytokines. Virally induced senescence was functionally recapitulated in vitro, by infecting epithelial Vero-E6 cells and a three-dimensional alveosphere system of alveolar type 2 (AT2) cells with SARS-CoV-2 strains isolated from COVID-19 patients. Results SARS-CoV-2 was detected by immunocytochemistry and electron microscopy predominantly in AT2 cells. Infected AT2 cells expressed angiotensin-converting enzyme 2 and exhibited increased senescence (p16INK4A and SenTraGor positivity) and interleukin (IL)-1β and IL-6 expression. In vitro, infection of Vero-E6 cells with SARS-CoV-2 induced senescence (SenTraGor), DNA damage (γ-H2AX) and increased cytokine (IL-1β, IL-6, CXCL8) and apolipoprotein B mRNA-editing (APOBEC) enzyme expression. Next-generation sequencing analysis of progenies obtained from infected/senescent Vero-E6 cells demonstrated APOBEC-mediated SARS-CoV-2 mutations. Dissemination of the SARS-CoV-2-infection and senescence was confirmed in extrapulmonary sites (kidney and liver) of a COVID-19 patient. Conclusions We demonstrate that in severe COVID-19, AT2 cells infected by SARS-CoV-2 exhibit senescence and a proinflammatory phenotype. In vitro, SARS-CoV-2 infection induces senescence and inflammation. Importantly, infected senescent cells may act as a source of SARS-CoV-2 mutagenesis mediated by APOBEC enzymes. Therefore, SARS-CoV-2-induced senescence may be an important molecular mechanism of severe COVID-19, disease persistence and mutagenesis. In severe COVID-19, alveolar type 2 (AT2) cells infected by SARS-CoV-2 exhibit senescence accompanied by a proinflammatory phenotype, a molecular mechanism that may be important in persistence of disease (post-acute sequelae of COVID-19) and mutagenesis https://bit.ly/3fnopg9
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Affiliation(s)
- Konstantinos Evangelou
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitris Veroutis
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Periklis G Foukas
- 2nd Department of Pathology, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nefeli Lagopati
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Marios Dimitriou
- Laboratory of Biology, Department of Medicine, Democritus University of Thrace, Alexandroupolis, Greece
| | - Angelos Papaspyropoulos
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Bindu Konda
- Lung and Regenerative Medicine Institutes, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Orsalia Hazapis
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Aikaterini Polyzou
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Sophia Havaki
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Athanassios Kotsinas
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Christos Kittas
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Athanasios G Tzioufas
- Department of Pathophysiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Laurence de Leval
- Institute of Pathology, Lausanne University Hospital, Lausanne, Switzerland
| | - Demetris Vassilakos
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Sotirios Tsiodras
- 4th Department of Internal Medicine, Attikon University Hospital, University of Athens Medical School, Athens, Greece.,Hellenic Centre for Disease Control and Prevention, Athens, Greece
| | - Barry R Stripp
- Lung and Regenerative Medicine Institutes, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Argyris Papantonis
- Translational Epigenetics Group, Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany.,Center for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Giovanni Blandino
- Oncogenomic and Epigenetic Unit, IRCCS, Regina Elena National Cancer Institute, Rome, Italy
| | - Ioannis Karakasiliotis
- Laboratory of Biology, Department of Medicine, Democritus University of Thrace, Alexandroupolis, Greece
| | - Peter J Barnes
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Vassilis G Gorgoulis
- Molecular Carcinogenesis Group, Department of Histology and Embryology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Faculty Institute for Cancer Sciences, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, UK.,Biomedical Research Foundation, Academy of Athens, Athens, Greece.,Center for New Biotechnologies and Precision Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.,Faculty of Health and Medical Sciences, University of Surrey, UK
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Hasankhani A, Bahrami A, Sheybani N, Aria B, Hemati B, Fatehi F, Ghaem Maghami Farahani H, Javanmard G, Rezaee M, Kastelic JP, Barkema HW. Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic. Front Immunol 2022; 12:789317. [PMID: 34975885 PMCID: PMC8714803 DOI: 10.3389/fimmu.2021.789317] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 11/26/2021] [Indexed: 01/08/2023] Open
Abstract
Background The recent emergence of COVID-19, rapid worldwide spread, and incomplete knowledge of molecular mechanisms underlying SARS-CoV-2 infection have limited development of therapeutic strategies. Our objective was to systematically investigate molecular regulatory mechanisms of COVID-19, using a combination of high throughput RNA-sequencing-based transcriptomics and systems biology approaches. Methods RNA-Seq data from peripheral blood mononuclear cells (PBMCs) of healthy persons, mild and severe 17 COVID-19 patients were analyzed to generate a gene expression matrix. Weighted gene co-expression network analysis (WGCNA) was used to identify co-expression modules in healthy samples as a reference set. For differential co-expression network analysis, module preservation and module-trait relationships approaches were used to identify key modules. Then, protein-protein interaction (PPI) networks, based on co-expressed hub genes, were constructed to identify hub genes/TFs with the highest information transfer (hub-high traffic genes) within candidate modules. Results Based on differential co-expression network analysis, connectivity patterns and network density, 72% (15 of 21) of modules identified in healthy samples were altered by SARS-CoV-2 infection. Therefore, SARS-CoV-2 caused systemic perturbations in host biological gene networks. In functional enrichment analysis, among 15 non-preserved modules and two significant highly-correlated modules (identified by MTRs), 9 modules were directly related to the host immune response and COVID-19 immunopathogenesis. Intriguingly, systemic investigation of SARS-CoV-2 infection identified signaling pathways and key genes/proteins associated with COVID-19's main hallmarks, e.g., cytokine storm, respiratory distress syndrome (ARDS), acute lung injury (ALI), lymphopenia, coagulation disorders, thrombosis, and pregnancy complications, as well as comorbidities associated with COVID-19, e.g., asthma, diabetic complications, cardiovascular diseases (CVDs), liver disorders and acute kidney injury (AKI). Topological analysis with betweenness centrality (BC) identified 290 hub-high traffic genes, central in both co-expression and PPI networks. We also identified several transcriptional regulatory factors, including NFKB1, HIF1A, AHR, and TP53, with important immunoregulatory roles in SARS-CoV-2 infection. Moreover, several hub-high traffic genes, including IL6, IL1B, IL10, TNF, SOCS1, SOCS3, ICAM1, PTEN, RHOA, GDI2, SUMO1, CASP1, IRAK3, HSPA5, ADRB2, PRF1, GZMB, OASL, CCL5, HSP90AA1, HSPD1, IFNG, MAPK1, RAB5A, and TNFRSF1A had the highest rates of information transfer in 9 candidate modules and central roles in COVID-19 immunopathogenesis. Conclusion This study provides comprehensive information on molecular mechanisms of SARS-CoV-2-host interactions and identifies several hub-high traffic genes as promising therapeutic targets for the COVID-19 pandemic.
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Affiliation(s)
- Aliakbar Hasankhani
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Abolfazl Bahrami
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.,Biomedical Center for Systems Biology Science Munich, Ludwig-Maximilians-University, Munich, Germany
| | - Negin Sheybani
- Department of Animal and Poultry Science, College of Aburaihan, University of Tehran, Tehran, Iran
| | - Behzad Aria
- Department of Physical Education and Sports Science, School of Psychology and Educational Sciences, Yazd University, Yazd, Iran
| | - Behzad Hemati
- Biotechnology Research Center, Karaj Branch, Islamic Azad University, Karaj, Iran
| | - Farhang Fatehi
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | | | - Ghazaleh Javanmard
- Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
| | - Mahsa Rezaee
- Department of Medical Mycology, School of Medical Science, Tarbiat Modares University, Tehran, Iran
| | - John P Kastelic
- Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Herman W Barkema
- Department of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
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50
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Qiu C, Xiao C, Wang Z, Zhu G, Mao L, Chen X, Gao L, Deng J, Su J, Su H, Fang EF, Zhang ZJ, Zhang J, Xie C, Yuan J, Luo OJ, Huang L, Wang P, Chen G. CD8+ T-Cell Epitope Variations Suggest a Potential Antigen HLA-A2 Binding Deficiency for Spike Protein of SARS-CoV-2. Front Immunol 2022; 12:764949. [PMID: 35116022 PMCID: PMC8804355 DOI: 10.3389/fimmu.2021.764949] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 12/14/2021] [Indexed: 12/15/2022] Open
Abstract
We identified SARS-CoV-2 specific antigen epitopes by HLA-A2 binding affinity analysis and characterized their ability to activate T cells. As the pandemic continues, variations in SARS-CoV-2 virus strains have been found in many countries. In this study, we directly assess the immune response to SARS-CoV-2 epitope variants. We first predicted potential HLA-A*02:01-restricted CD8+ T-cell epitopes of SARS-CoV-2. Using the T2 cell model, HLA-A*02:01-restricted T-cell epitopes were screened for their binding affinity and ability to activate T cells. Subsequently, we examined the identified epitope variations and analyzed their impact on immune response. Here, we identified specific HLA-A2-restricted T-cell epitopes in the spike protein of SARS-CoV-2. Seven epitope peptides were confirmed to bind with HLA-A*02:01 and potentially be presented by antigen-presenting cells to induce host immune responses. Tetramers containing these peptides could interact with specific CD8+ T cells from convalescent COVID-19 patients, and one dominant epitope (n-Sp1) was defined. These epitopes could activate and generate epitope-specific T cells in vitro, and those activated T cells showed cytolytic activity toward target cells. Meanwhile, n-Sp1 epitope variant 5L>F significantly decreased the proportion of specific T-cell activation; n-Sp1 epitope 8L>V variant showed significantly reduced binding to HLA-A*02:01 and decreased proportion of n-Sp1-specific CD8+ T cell, which potentially contributes to the immune escape of SARS-CoV-2. Our data indicate that the variation of a dominant epitope will cause the deficiency of HLA-A*02:01 binding and T-cell activation, which subsequently requires the formation of a new CD8+ T-cell immune response in COVID-19 patients.
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Affiliation(s)
- Congling Qiu
- Department of Neurology, Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
| | - Chanchan Xiao
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
| | - Zhigang Wang
- Department of Neurology, Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China
| | - Guodong Zhu
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
- Department of Geriatrics, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, China
| | - Lipeng Mao
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
| | - Xiongfei Chen
- Department of Primary Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Lijuan Gao
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
| | - Jieping Deng
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
| | - Jun Su
- Department of Neurology, Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China
| | - Huanxing Su
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, Macau SAR, China
| | - Evandro Fei Fang
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
- Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog, Norway
| | - Zhang-Jin Zhang
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
- School of Chinese Medicine, Li Ka Shing (LKS) Faculty of Medicine, the University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Jikai Zhang
- Department of Biological Products and Materia Medica, Institute of Biologics and Pharmaceuticals Research, Guangzhou, China
| | - Caojun Xie
- Department of Primary Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Jun Yuan
- Department of Primary Public Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Oscar Junhong Luo
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China
| | - Li`an Huang
- Department of Neurology, Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China
| | - Pengcheng Wang
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
- *Correspondence: Pengcheng Wang, ; Guobing Chen,
| | - Guobing Chen
- Department of Neurology, Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Department of Microbiology and Immunology, Jinan University, Guangzhou, China
- *Correspondence: Pengcheng Wang, ; Guobing Chen,
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