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Zhou D, Zhao S, He K, Liu Q, Zhang F, Pu Z, Xiao L, Zhang L, Chen S, Qian X, Wu X, Shen Y, Yu L, Zhang H, Jin J, Xu M, Wang X, Zhu D, Xie Z, Xu X. Longitudinal dynamic single-cell mass cytometry analysis of peripheral blood mononuclear cells in COVID-19 patients within 6 months after viral RNA clearance. BMC Infect Dis 2024; 24:567. [PMID: 38844850 PMCID: PMC11157885 DOI: 10.1186/s12879-024-09464-0] [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: 09/09/2023] [Accepted: 06/03/2024] [Indexed: 06/09/2024] Open
Abstract
This study investigates the longitudinal dynamic changes in immune cells in COVID-19 patients over an extended period after recovery, as well as the interplay between immune cells and antibodies. Leveraging single-cell mass spectrometry, we selected six COVID-19 patients and four healthy controls, dissecting the evolving landscape within six months post-viral RNA clearance, alongside the levels of anti-spike protein antibodies. The T cell immunophenotype ascertained via single-cell mass spectrometry underwent validation through flow cytometry in 37 samples. Our findings illuminate that CD8 + T cells, gamma-delta (gd) T cells, and NK cells witnessed an increase, in contrast to the reduction observed in monocytes, B cells, and double-negative T (DNT) cells over time. The proportion of monocytes remained significantly elevated in COVID-19 patients compared to controls even after six-month. Subpopulation-wise, an upsurge manifested within various T effector memory subsets, CD45RA + T effector memory, gdT, and NK cells, whereas declines marked the populations of DNT, naive and memory B cells, and classical as well as non-classical monocytes. Noteworthy associations surfaced between DNT, gdT, CD4 + T, NK cells, and the anti-S antibody titer. This study reveals the changes in peripheral blood mononuclear cells of COVID-19 patients within 6 months after viral RNA clearance and sheds light on the interactions between immune cells and antibodies. The findings from this research contribute to a better understanding of immune transformations during the recovery from COVID-19 and offer guidance for protective measures against reinfection in the context of viral variants.
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Affiliation(s)
- Diwenxin Zhou
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Shuai Zhao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Keting He
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Qiuhong Liu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Fen Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Zhangya Pu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Lanlan Xiao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Lingjian Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Shangci Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Xiaohan Qian
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Xiaoxin Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Yangfan Shen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Ling Yu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Huafen Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Jiandi Jin
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Min Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Xiaoyan Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Danhua Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Zhongyang Xie
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.
| | - Xiaowei Xu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.
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Kado A, Tsutsumi T, Yotsuyanagi H, Ikeuchi K, Okushin K, Moriya K, Koike K, Fujishiro M. Differential peripheral memory T cell subsets sensitively indicate the severity of nonalcoholic fatty liver disease. Hepatol Res 2024; 54:525-539. [PMID: 38157267 DOI: 10.1111/hepr.14009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 12/19/2023] [Accepted: 12/23/2023] [Indexed: 01/03/2024]
Abstract
AIM Differential patterns of peripheral memory T cell subsets in nonalcoholic fatty liver disease (NAFLD) were assessed using flow cytometry (FCM) to elucidate their association with NAFLD severity and provide a new noninvasive method to sensitively detect the disease severity in addition to existing biomarkers. METHODS We assessed the differential frequencies of peripheral memory T cell subsets in 103 patients with NAFLD according to the degree of liver fibrosis (FIB) using FCM analysis. We focused on the following populations: CCR7+ CD45RA+ naïve T, CCR7+ CD45RA- central memory T cells (TCM), CCR7- CD45RA- effector memory T, and CCR7- CD45RA+ terminally differentiated effector memory T (TEMRA) cells in CD4+ and CD8+ T, Th1, Th2, and Th17 cells, respectively. To evaluate the pathological progression of the disease, these frequencies were also examined according to the degree of the NAFLD activity score (NAS). RESULTS Several significant correlations were observed between laboratory parameters and peripheral memory T lymphocyte frequencies according to the degree of liver FIB and NAS in NAFLD. In univariate and multivariate analyses, the frequency of CD8+ TEMRA cells predicted severe FIB, and the predictive power was validated in an independent cohort. Furthermore, the frequencies of several memory T cell subsets sensitively indicated the pathological progression of NAFLD (Th17 TCM: steatosis, CD4+ TCM: lobular inflammation, and CD8+ TEMRA and effector memory T cells: hepatocellular ballooning). CONCLUSIONS Our results suggest that the analysis of peripheral memory T lymphocyte frequencies can noninvasively predict severe FIB and sensitively indicate the pathological progression of NAFLD.
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Affiliation(s)
- Akira Kado
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Division for Health Service Promotion, The University of Tokyo, Tokyo, Japan
| | - Takeya Tsutsumi
- Department of Infection Control and Prevention, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Infectious Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroshi Yotsuyanagi
- Division of Infectious Diseases, Advanced Clinical Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kazuhiko Ikeuchi
- Department of Infectious Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuya Okushin
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Infection Control and Prevention, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kyoji Moriya
- Division of Infection Control and Prevention, Education Research Center, The Tokyo Health Care University, Tokyo, Japan
| | - Kazuhiko Koike
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Gastroenterology, Kanto Central Hospital, Tokyo, Japan
| | - Mitsuhiro Fujishiro
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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3
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Hartmann JA, Cardoso MR, Talarico MCR, Kenney DJ, Leone MR, Reese DC, Turcinovic J, O'Connell AK, Gertje HP, Marino C, Ojeda PE, De Paula EV, Orsi FA, Velloso LA, Cafiero TR, Connor JH, Ploss A, Hoelzemer A, Carrington M, Barczak AK, Crossland NA, Douam F, Boucau J, Garcia-Beltran WF. Evasion of NKG2D-mediated cytotoxic immunity by sarbecoviruses. Cell 2024; 187:2393-2410.e14. [PMID: 38653235 PMCID: PMC11088510 DOI: 10.1016/j.cell.2024.03.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 01/30/2024] [Accepted: 03/19/2024] [Indexed: 04/25/2024]
Abstract
SARS-CoV-2 and other sarbecoviruses continue to threaten humanity, highlighting the need to characterize common mechanisms of viral immune evasion for pandemic preparedness. Cytotoxic lymphocytes are vital for antiviral immunity and express NKG2D, an activating receptor conserved among mammals that recognizes infection-induced stress ligands (e.g., MIC-A/B). We found that SARS-CoV-2 evades NKG2D recognition by surface downregulation of MIC-A/B via shedding, observed in human lung tissue and COVID-19 patient serum. Systematic testing of SARS-CoV-2 proteins revealed that ORF6, an accessory protein uniquely conserved among sarbecoviruses, was responsible for MIC-A/B downregulation via shedding. Further investigation demonstrated that natural killer (NK) cells efficiently killed SARS-CoV-2-infected cells and limited viral spread. However, inhibition of MIC-A/B shedding with a monoclonal antibody, 7C6, further enhanced NK-cell activity toward SARS-CoV-2-infected cells. Our findings unveil a strategy employed by SARS-CoV-2 to evade cytotoxic immunity, identify the culprit immunevasin shared among sarbecoviruses, and suggest a potential novel antiviral immunotherapy.
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Affiliation(s)
- Jordan A Hartmann
- Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | | | | | - Devin J Kenney
- Department of Virology, Immunology, and Microbiology, Chobanian and Avedisian Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Madison R Leone
- Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Dagny C Reese
- Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Jacquelyn Turcinovic
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Aoife K O'Connell
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Hans P Gertje
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Caitlin Marino
- Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Pedro E Ojeda
- Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA
| | - Erich V De Paula
- School of Medical Sciences, University of Campinas, Campinas, SP, Brazil; Hematology and Hemotherapy Center, University of Campinas, Campinas, SP, Brazil
| | - Fernanda A Orsi
- School of Medical Sciences, University of Campinas, Campinas, SP, Brazil; Hematology and Hemotherapy Center, University of Campinas, Campinas, SP, Brazil
| | - Licio Augusto Velloso
- School of Medical Sciences, University of Campinas, Campinas, SP, Brazil; Obesity and Comorbidities Research Center, University of Campinas, Campinas, SP, Brazil
| | - Thomas R Cafiero
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - John H Connor
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Alexander Ploss
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Angelique Hoelzemer
- First Department of Medicine, Division of Infectious Diseases, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany; Institute for Infection and Vaccine Development (IIRVD), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany; Research Department Virus Immunology, Leibniz Institute for Virology, Hamburg, Germany
| | - Mary Carrington
- Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA; Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA; Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Amy K Barczak
- Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Nicholas A Crossland
- Department of Virology, Immunology, and Microbiology, Chobanian and Avedisian Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA; Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Florian Douam
- Department of Virology, Immunology, and Microbiology, Chobanian and Avedisian Boston University School of Medicine, Boston, MA, USA; National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
| | - Julie Boucau
- Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA.
| | - Wilfredo F Garcia-Beltran
- Ragon Institute of Mass General, MIT and Harvard, Cambridge, MA, USA; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
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4
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Domènech-Montoliu S, Puig-Barberà J, Pac-Sa MR, Orrico-Sanchéz A, Gómez-Lanas L, Sala-Trull D, Domènech-Leon C, Del Rio-González A, Sánchez-Urbano M, Satorres-Martinez P, Aparisi-Esteve L, Badenes-Marques G, Blasco-Gari R, Casanova-Suarez J, Gil-Fortuño M, Hernández-Pérez N, Jovani-Sales D, López-Diago L, Notari-Rodríguez C, Pérez-Olaso O, Romeu-Garcia MA, Ruíz-Puig R, Arnedo-Pena A. Cellular Immunity of SARS-CoV-2 in the Borriana COVID-19 Cohort: A Nested Case-Control Study. EPIDEMIOLOGIA 2024; 5:167-186. [PMID: 38651389 PMCID: PMC11036210 DOI: 10.3390/epidemiologia5020012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 03/27/2024] [Accepted: 04/05/2024] [Indexed: 04/25/2024] Open
Abstract
Our goal was to determine the cellular immune response (CIR) in a sample of the Borriana COVID-19 cohort (Spain) to identify associated factors and their relationship with infection, reinfection and sequelae. We conducted a nested case-control study using a randomly selected sample of 225 individuals aged 18 and older, including 36 individuals naïve to the SARS-CoV-2 infection and 189 infected patients. We employed flow-cytometry-based immunoassays for intracellular cytokine staining, using Wuhan and BA.2 antigens, and chemiluminescence microparticle immunoassay to detect SARS-CoV-2 antibodies. Logistic regression models were applied. A total of 215 (95.6%) participants exhibited T-cell response (TCR) to at least one antigen. Positive responses of CD4+ and CD8+ T cells were 89.8% and 85.3%, respectively. No difference in CIR was found between naïve and infected patients. Patients who experienced sequelae exhibited a higher CIR than those without. A positive correlation was observed between TCR and anti-spike IgG levels. Factors positively associated with the TCR included blood group A, number of SARS-CoV-2 vaccine doses received, and anti-N IgM; factors inversely related were the time elapsed since the last vaccine dose or infection, and blood group B. These findings contribute valuable insights into the nuanced immune landscape shaped by SARS-CoV-2 infection and vaccination.
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Affiliation(s)
| | - Joan Puig-Barberà
- Vaccines Research Unit, Foundation for the Promotion of Health and Biomedical Research in Valencia Region FISABIO-Public Health, 46020 Valencia, Spain; (J.P.-B.); (A.O.-S.)
| | - María Rosario Pac-Sa
- Public Health Center, 12003 Castelló de la Plana, Spain; (M.R.P.-S.); (M.A.R.-G.)
| | - Alejandro Orrico-Sanchéz
- Vaccines Research Unit, Foundation for the Promotion of Health and Biomedical Research in Valencia Region FISABIO-Public Health, 46020 Valencia, Spain; (J.P.-B.); (A.O.-S.)
- Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Secretary of Chair of Vaccines Catholic University of Valencia, 46001 Valencia, Spain
| | - Lorna Gómez-Lanas
- Emergency Service University Hospital de la Plana, 12540 Vila-real, Spain; (L.G.-L.); (D.S.-T.); (M.S.-U.); (P.S.-M.); (G.B.-M.); (R.B.-G.); (D.J.-S.); (C.N.-R.); (R.R.-P.)
| | - Diego Sala-Trull
- Emergency Service University Hospital de la Plana, 12540 Vila-real, Spain; (L.G.-L.); (D.S.-T.); (M.S.-U.); (P.S.-M.); (G.B.-M.); (R.B.-G.); (D.J.-S.); (C.N.-R.); (R.R.-P.)
| | - Carmen Domènech-Leon
- Department of Medicine, University CEU Cardenal Herrera, 12006 Castelló de la Plana, Spain;
| | | | - Manuel Sánchez-Urbano
- Emergency Service University Hospital de la Plana, 12540 Vila-real, Spain; (L.G.-L.); (D.S.-T.); (M.S.-U.); (P.S.-M.); (G.B.-M.); (R.B.-G.); (D.J.-S.); (C.N.-R.); (R.R.-P.)
| | - Paloma Satorres-Martinez
- Emergency Service University Hospital de la Plana, 12540 Vila-real, Spain; (L.G.-L.); (D.S.-T.); (M.S.-U.); (P.S.-M.); (G.B.-M.); (R.B.-G.); (D.J.-S.); (C.N.-R.); (R.R.-P.)
| | | | - Gema Badenes-Marques
- Emergency Service University Hospital de la Plana, 12540 Vila-real, Spain; (L.G.-L.); (D.S.-T.); (M.S.-U.); (P.S.-M.); (G.B.-M.); (R.B.-G.); (D.J.-S.); (C.N.-R.); (R.R.-P.)
| | - Roser Blasco-Gari
- Emergency Service University Hospital de la Plana, 12540 Vila-real, Spain; (L.G.-L.); (D.S.-T.); (M.S.-U.); (P.S.-M.); (G.B.-M.); (R.B.-G.); (D.J.-S.); (C.N.-R.); (R.R.-P.)
| | | | - María Gil-Fortuño
- Microbiology Service University Hospital de la Plana, 12540 Vila-real, Spain; (M.G.-F.); (N.H.-P.); (O.P.-O.)
| | - Noelia Hernández-Pérez
- Microbiology Service University Hospital de la Plana, 12540 Vila-real, Spain; (M.G.-F.); (N.H.-P.); (O.P.-O.)
| | - David Jovani-Sales
- Emergency Service University Hospital de la Plana, 12540 Vila-real, Spain; (L.G.-L.); (D.S.-T.); (M.S.-U.); (P.S.-M.); (G.B.-M.); (R.B.-G.); (D.J.-S.); (C.N.-R.); (R.R.-P.)
| | - Laura López-Diago
- Clinical Analysis Service University Hospital de la Plana, 12540 Vila-real, Spain;
| | - Cristina Notari-Rodríguez
- Emergency Service University Hospital de la Plana, 12540 Vila-real, Spain; (L.G.-L.); (D.S.-T.); (M.S.-U.); (P.S.-M.); (G.B.-M.); (R.B.-G.); (D.J.-S.); (C.N.-R.); (R.R.-P.)
| | - Oscar Pérez-Olaso
- Microbiology Service University Hospital de la Plana, 12540 Vila-real, Spain; (M.G.-F.); (N.H.-P.); (O.P.-O.)
| | | | - Raquel Ruíz-Puig
- Emergency Service University Hospital de la Plana, 12540 Vila-real, Spain; (L.G.-L.); (D.S.-T.); (M.S.-U.); (P.S.-M.); (G.B.-M.); (R.B.-G.); (D.J.-S.); (C.N.-R.); (R.R.-P.)
| | - Alberto Arnedo-Pena
- Public Health Center, 12003 Castelló de la Plana, Spain; (M.R.P.-S.); (M.A.R.-G.)
- Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Department of Health Science, Public University Navarra, 31006 Pamplona, Spain
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5
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Canderan G, Muehling LM, Kadl A, Ladd S, Bonham C, Cross CE, Lima SM, Yin X, Sturek JM, Wilson JM, Keshavarz B, Bryant N, Murphy DD, Cheon IS, McNamara CA, Sun J, Utz PJ, Dolatshahi S, Irish JM, Woodfolk JA. Distinct Type 1 Immune Networks Underlie the Severity of Restrictive Lung Disease after COVID-19. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.03.587929. [PMID: 38617217 PMCID: PMC11014603 DOI: 10.1101/2024.04.03.587929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
The variable etiology of persistent breathlessness after COVID-19 have confounded efforts to decipher the immunopathology of lung sequelae. Here, we analyzed hundreds of cellular and molecular features in the context of discrete pulmonary phenotypes to define the systemic immune landscape of post-COVID lung disease. Cluster analysis of lung physiology measures highlighted two phenotypes of restrictive lung disease that differed by their impaired diffusion and severity of fibrosis. Machine learning revealed marked CCR5+CD95+ CD8+ T-cell perturbations in mild-to-moderate lung disease, but attenuated T-cell responses hallmarked by elevated CXCL13 in more severe disease. Distinct sets of cells, mediators, and autoantibodies distinguished each restrictive phenotype, and differed from those of patients without significant lung involvement. These differences were reflected in divergent T-cell-based type 1 networks according to severity of lung disease. Our findings, which provide an immunological basis for active lung injury versus advanced disease after COVID-19, might offer new targets for treatment.
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6
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Paniskaki K, Goretzki S, Anft M, Konik MJ, Meister TL, Pfaender S, Lechtenberg K, Vogl M, Dogan B, Dolff S, Westhoff TH, Rohn H, Felderhoff-Mueser U, Stervbo U, Witzke O, Dohna-Schwake C, Babel N. Increased SARS-CoV-2 reactive low avidity T cells producing inflammatory cytokines in pediatric post-acute COVID-19 sequelae (PASC). Pediatr Allergy Immunol 2023; 34:e14060. [PMID: 38146118 DOI: 10.1111/pai.14060] [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: 07/22/2023] [Revised: 11/13/2023] [Accepted: 11/29/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND A proportion of the convalescent SARS-CoV-2 pediatric population presents nonspecific symptoms, mental health problems, and a reduction in quality of life similar to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID-19 symptomatic. However, data regarding its clinical manifestation and immune mechanisms are currently scarce. METHODS In this study, we perform a comprehensive clinical and immunological profiling of 17 convalescent COVID-19 children with post-acute COVID-19 sequelae (PASC) manifestation and 13 convalescent children without PASC manifestation. A detailed medical history, blood and instrumental tests, and physical examination were obtained from all patients. SARS-CoV-2 reactive T-cell response was analyzed via multiparametric flow cytometry and the humoral immunity was addressed via pseudovirus neutralization and ELISA assay. RESULTS The most common PASC symptoms were shortness of breath/exercise intolerance, paresthesia, smell/taste disturbance, chest pain, dyspnea, headache, and lack of concentration. Blood count and clinical chemistry showed no statistical differences among the study groups. We detected higher frequencies of spike (S) reactive CD4+ and CD8+ T cells among the PASC study group, characterized by TNFα and IFNγ production and low functional avidity. CRP levels are positively correlated with IFNγ producing reactive CD8+ T cells. CONCLUSIONS Our data might indicate a possible involvement of a persistent cellular inflammatory response triggered by SARS-CoV-2 in the development of the observed sequelae in pediatric PASC. These results may have implications on future therapeutic and prevention strategies.
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Affiliation(s)
- Krystallenia Paniskaki
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Bochum, Germany
| | - Sarah Goretzki
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Department of Pediatrics I, Children's Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Moritz Anft
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Bochum, Germany
| | - Margarethe J Konik
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Toni L Meister
- Department of Molecular and Medical Virology, Ruhr-University Bochum, Bochum, Germany
| | - Stephanie Pfaender
- Department of Molecular and Medical Virology, Ruhr-University Bochum, Bochum, Germany
| | - Klara Lechtenberg
- Department of Pediatrics I, Children's Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Melanie Vogl
- Department of Pediatrics III, Pediatric Pulmonology and Sleep Medicine, Children's Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Burcin Dogan
- Department of Pediatrics I, Children's Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Sebastian Dolff
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Timm H Westhoff
- Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany
| | - Hana Rohn
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Ursula Felderhoff-Mueser
- Department of Pediatrics I, Children's Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences C-TNBS, University of Duisburg-Essen, Essen, Germany
| | - Ulrik Stervbo
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Bochum, Germany
| | - Oliver Witzke
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Christian Dohna-Schwake
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Department of Pediatrics I, Children's Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences C-TNBS, University of Duisburg-Essen, Essen, Germany
| | - Nina Babel
- Center for Translational Medicine and Immune Diagnostics Laboratory, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Bochum, Germany
- Berlin Institute of Health at Charité - University Clinic Berlin, BIH Center for Regenerative Therapies (BCRT) Berlin, Berlin, Germany
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7
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Choy C, Chen J, Li J, Gallagher DT, Lu J, Wu D, Zou A, Hemani H, Baptiste BA, Wichmann E, Yang Q, Ciffelo J, Yin R, McKelvy J, Melvin D, Wallace T, Dunn C, Nguyen C, Chia CW, Fan J, Ruffolo J, Zukley L, Shi G, Amano T, An Y, Meirelles O, Wu WW, Chou CK, Shen RF, Willis RA, Ko MSH, Liu YT, De S, Pierce BG, Ferrucci L, Egan J, Mariuzza R, Weng NP. SARS-CoV-2 infection establishes a stable and age-independent CD8 + T cell response against a dominant nucleocapsid epitope using restricted T cell receptors. Nat Commun 2023; 14:6725. [PMID: 37872153 PMCID: PMC10593757 DOI: 10.1038/s41467-023-42430-z] [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: 04/04/2023] [Accepted: 10/11/2023] [Indexed: 10/25/2023] Open
Abstract
The resolution of SARS-CoV-2 replication hinges on cell-mediated immunity, wherein CD8+ T cells play a vital role. Nonetheless, the characterization of the specificity and TCR composition of CD8+ T cells targeting non-spike protein of SARS-CoV-2 before and after infection remains incomplete. Here, we analyzed CD8+ T cells recognizing six epitopes from the SARS-CoV-2 nucleocapsid (N) protein and found that SARS-CoV-2 infection slightly increased the frequencies of N-recognizing CD8+ T cells but significantly enhanced activation-induced proliferation compared to that of the uninfected donors. The frequencies of N-specific CD8+ T cells and their proliferative response to stimulation did not decrease over one year. We identified the N222-230 peptide (LLLDRLNQL, referred to as LLL thereafter) as a dominant epitope that elicited the greatest proliferative response from both convalescent and uninfected donors. Single-cell sequencing of T cell receptors (TCR) from LLL-specific CD8+ T cells revealed highly restricted Vα gene usage (TRAV12-2) with limited CDR3α motifs, supported by structural characterization of the TCR-LLL-HLA-A2 complex. Lastly, transcriptome analysis of LLL-specific CD8+ T cells from donors who had expansion (expanders) or no expansion (non-expanders) after in vitro stimulation identified increased chromatin modification and innate immune functions of CD8+ T cells in non-expanders. These results suggests that SARS-CoV-2 infection induces LLL-specific CD8+ T cell responses with a restricted TCR repertoire.
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Affiliation(s)
- Cecily Choy
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Joseph Chen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Jiangyuan Li
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - D Travis Gallagher
- National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA
| | - Jian Lu
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Daichao Wu
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, USA
| | - Ainslee Zou
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Humza Hemani
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Beverly A Baptiste
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Emily Wichmann
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Qian Yang
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Jeffrey Ciffelo
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Rui Yin
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, USA
| | - Julia McKelvy
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Denise Melvin
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Tonya Wallace
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Christopher Dunn
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Cuong Nguyen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Chee W Chia
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Jinshui Fan
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Jeannie Ruffolo
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Linda Zukley
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | | | | | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Osorio Meirelles
- Laboratory of Epidemiology & Population Sciences, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Wells W Wu
- Facility for Biotechnology Resources, CBER, Food and Drug Administration, Silver Spring, MD, USA
| | - Chao-Kai Chou
- Facility for Biotechnology Resources, CBER, Food and Drug Administration, Silver Spring, MD, USA
| | - Rong-Fong Shen
- Facility for Biotechnology Resources, CBER, Food and Drug Administration, Silver Spring, MD, USA
| | - Richard A Willis
- NIH Tetramer Core Facility at Emory University, Atlanta, GA, USA
| | | | | | - Supriyo De
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Brian G Pierce
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Josephine Egan
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Roy Mariuzza
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, USA
| | - Nan-Ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA.
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