Literature DB >> 32467616

More bricks in the wall against SARS-CoV-2 infection: involvement of γ9δ2 T cells.

Ger Rijkers1,2,3, Trees Vervenne4, Pieter van der Pol4.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32467616      PMCID: PMC7331628          DOI: 10.1038/s41423-020-0473-0

Source DB:  PubMed          Journal:  Cell Mol Immunol        ISSN: 1672-7681            Impact factor:   11.530


× No keyword cloud information.
The SARS-CoV-2 virus which emerged in late December 2019 had reached pandemic proportions by March 2020.[1] Host defence mechanisms against this new member of the corona virus family will include innate immunity, humoral, and cellular immune responses, of yet unknown relative importance. Conventional CD8+ αβTCR cytotoxic T cells and natural killer cells are mainly responsible for detection and elimination of virus infected cells, with a special role for the CD94/NK group 2 member A (NKG2A) receptor as reported by Zheng et al. in this journal.[2,3] We want to report yet another brick in the wall against SARS-CoV-2 infection, made of a subset of γδTCR T cells.[4] Poccia et al. previously described that in peripheral blood of health care workers who survived a SARS-CoV infection during the 2003 outbreak, a selective expansion of the Vγ9Vδ2 T-cell population was found 3 months after the onset of disease.[4] This subset of γδ T cells also has been implicated in influenza infections.[5,6] We have therefore analyzed the frequency and activation status of Vγ9Vδ2 T cells in hospitalized patients (n = 24) with PCR proven SARS-CoV-2 infection (Supplementary Table 1). We find that the percentage of Vγ9Vδ2 T cells at the moment of hospital admission (on average 10 days after onset of clinical symptoms) is significantly lower than that of matched healthy controls (Fig. 1) (healthy controls 1.82 ± 0.41 × 104 Vγ9Vδ2 T cells/ml, COVID-19 patients 0.38 ± 0.40 × 104/ml ; p < 0.05). Six patients died while being hospitalized (four of them in the ICU) and they showed T lymphocytopenia, including decreased numbers of Vγ9Vδ2 T cells (0.06 ± 0.38 × 104/ml; Fig. 1). In five patients we could monitor the phenotype of Vγ9Vδ2 T cells during the 2 weeks they were admitted to the hospital. During that period, on average 26% of the Vγ9Vδ2 T-cell population shifts to a phenotype of effector (memory) cells, as compared with 8% within the total T-cell population.
Fig. 1

Reduced Vγ9Vδ2 T-cell numbers in SARS-CoV-2 infected patients with fatal outcome. Heparinized peripheral blood was incubated with a combination of CD45 V500, CD3 PerCP, CD4 PECy7, CD8 APC-H7, Vγ9 TCR PE, and Vδ2 TCR FITC labeled antibodies (see specifications in Supplementary Table 2) and measured by flow cytometry on a BD FACSLyric instrument (BD Biosciences, San Jose, CA, USA). Data analysis was performed with Infinicyt flow cytometry software (Cytognos, Capelle aan de IJssel, The Netherlands). Lymphocytes were gated on basis of CD45 and scatter characteristics. a, b Show the percentage of CD3+, CD4−, CD8 bright− T-lymphocytes expressing Vγ9 TCR and/or Vδ2 TCR of a representative COVID-19 patient and a healthy control donor, respectively. The boxed areas represents the Vγ9Vδ2 TCR T lymphocytes. c The numbers of Vγ9Vδ2 TCR T lymphocytes per ml are given for healthy controls and COVID-19 patients that died or survived. Patients who died of COVID-19 had a significant lower number of Vγ9Vδ2 TCR T lymphocytes (*p < 0.05 by two-sided Student T test). N.S. not significant

Reduced Vγ9Vδ2 T-cell numbers in SARS-CoV-2 infected patients with fatal outcome. Heparinized peripheral blood was incubated with a combination of CD45 V500, CD3 PerCP, CD4 PECy7, CD8 APC-H7, Vγ9 TCR PE, and Vδ2 TCR FITC labeled antibodies (see specifications in Supplementary Table 2) and measured by flow cytometry on a BD FACSLyric instrument (BD Biosciences, San Jose, CA, USA). Data analysis was performed with Infinicyt flow cytometry software (Cytognos, Capelle aan de IJssel, The Netherlands). Lymphocytes were gated on basis of CD45 and scatter characteristics. a, b Show the percentage of CD3+, CD4−, CD8 bright− T-lymphocytes expressing Vγ9 TCR and/or Vδ2 TCR of a representative COVID-19 patient and a healthy control donor, respectively. The boxed areas represents the Vγ9Vδ2 TCR T lymphocytes. c The numbers of Vγ9Vδ2 TCR T lymphocytes per ml are given for healthy controls and COVID-19 patients that died or survived. Patients who died of COVID-19 had a significant lower number of Vγ9Vδ2 TCR T lymphocytes (*p < 0.05 by two-sided Student T test). N.S. not significant It has been shown that Vγ9Vδ2 T cells have a so-called polycytotoxic profile.[6] Vγ9Vδ2 cells are the dominant γδ T-cell population in adults, but in the elderly this is more variable.[6,7] Our data could indicate that elderly with reduced numbers of Vγ9Vδ2 T cells constitute the SARS-CoV-2 vulnerable population. Alternatively, the Vγ9Vδ2 T cells in these patients have migrated to the lungs to kill SARS-CoV-2 infected cells. Long term monitoring of these patients should make this clear. Vγ9Vδ2 T cells do not recognize antigens presented by HLA molecules but use the alternative antigen presenting molecule BTN3A.[8] ICT01, a humanized activating anti-BTN3A antibody, is currently in Phase 1 studies for potential use in anticancer therapy.[9] In the context of the data presented here, this antibody could offer an alternative treatment strategy for COVID-19. The study was performed in accordance with the guidelines for sharing of patient data of observational scientific research in emergency situations as issued by the Commission on Codes of Conduct of the Foundation Federation of Dutch Medical Scientific Societies (https://www.federa.org/federa-english). Supplementary Tables
  1 in total

1.  WHO Declares COVID-19 a Pandemic.

Authors:  Domenico Cucinotta; Maurizio Vanelli
Journal:  Acta Biomed       Date:  2020-03-19
  1 in total
  20 in total

Review 1.  Hallmarks of Severe COVID-19 Pathogenesis: A Pas de Deux Between Viral and Host Factors.

Authors:  Roberta Rovito; Matteo Augello; Assaf Ben-Haim; Valeria Bono; Antonella d'Arminio Monforte; Giulia Marchetti
Journal:  Front Immunol       Date:  2022-06-10       Impact factor: 8.786

Review 2.  How to Train Your Dragon: Harnessing Gamma Delta T Cells Antiviral Functions and Trained Immunity in a Pandemic Era.

Authors:  Jonathan Caron; Laura Alice Ridgley; Mark Bodman-Smith
Journal:  Front Immunol       Date:  2021-03-29       Impact factor: 7.561

3.  T cell phenotypes in COVID-19 - a living review.

Authors:  Stephanie J Hanna; Amy S Codd; Ester Gea-Mallorqui; D Oliver Scourfield; Felix C Richter; Kristin Ladell; Mariana Borsa; Ewoud B Compeer; Owen R Moon; Sarah A E Galloway; Sandra Dimonte; Lorenzo Capitani; Freya R Shepherd; Joseph D Wilson; Lion F K Uhl; Awen M Gallimore; Anita Milicic
Journal:  Oxf Open Immunol       Date:  2020-12-29

Review 4.  The role of unconventional T cells in COVID-19.

Authors:  Kristen Orumaa; Margaret R Dunne
Journal:  Ir J Med Sci       Date:  2021-05-29       Impact factor: 1.568

5.  Ketogenic diet restrains aging-induced exacerbation of coronavirus infection in mice.

Authors:  Seungjin Ryu; Irina Shchukina; Yun-Hee Youm; Hua Qing; Brandon Hilliard; Tamara Dlugos; Xinbo Zhang; Yuki Yasumoto; Carmen J Booth; Carlos Fernández-Hernando; Yajaira Suárez; Kamal Khanna; Tamas L Horvath; Marcelo O Dietrich; Maxim Artyomov; Andrew Wang; Vishwa Deep Dixit
Journal:  Elife       Date:  2021-06-21       Impact factor: 8.140

6.  Lymphopenia in COVID-19: γδ T Cells-Based Therapeutic Opportunities.

Authors:  Elena Lo Presti; Francesco Dieli; Serena Meraviglia
Journal:  Vaccines (Basel)       Date:  2021-05-28

7.  Reappearance of effector T cells is associated with recovery from COVID-19.

Authors:  Ivan Odak; Joana Barros-Martins; Berislav Bošnjak; Klaus Stahl; Sascha David; Olaf Wiesner; Markus Busch; Marius M Hoeper; Isabell Pink; Tobias Welte; Markus Cornberg; Matthias Stoll; Lilia Goudeva; Rainer Blasczyk; Arnold Ganser; Immo Prinz; Reinhold Förster; Christian Koenecke; Christian R Schultze-Florey
Journal:  EBioMedicine       Date:  2020-07-07       Impact factor: 8.143

Review 8.  Mitigating Coronavirus Induced Dysfunctional Immunity for At-Risk Populations in COVID-19: Trained Immunity, BCG and "New Old Friends".

Authors:  Thomas-Oliver Kleen; Alicia A Galdon; Andrew S MacDonald; Angus G Dalgleish
Journal:  Front Immunol       Date:  2020-09-04       Impact factor: 7.561

9.  An unconventional view of COVID-19 T cell immunity.

Authors:  Hui-Fern Koay; Thomas S Fulford; Dale I Godfrey
Journal:  J Exp Med       Date:  2020-12-07       Impact factor: 14.307

10.  Endogenous control of inflammation characterizes pregnant women with asymptomatic or paucisymptomatic SARS-CoV-2 infection.

Authors:  Sara De Biasi; Domenico Lo Tartaro; Lara Gibellini; Annamaria Paolini; Andrew Quong; Carlene Petes; Geneve Awong; Samuel Douglas; Dongxia Lin; Jordan Nieto; Francesco Maria Galassi; Rebecca Borella; Lucia Fidanza; Marco Mattioli; Chiara Leone; Isabella Neri; Marianna Meschiari; Luca Cicchetti; Anna Iannone; Tommaso Trenti; Mario Sarti; Massimo Girardis; Giovanni Guaraldi; Cristina Mussini; Fabio Facchinetti; Andrea Cossarizza
Journal:  Nat Commun       Date:  2021-07-29       Impact factor: 14.919

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.