Literature DB >> 32496544

Evaluating Immune Dysregulation in Patients With COVID-19 Requires a More Accurate Definition of the CD45RA+ T-cell Phenotype.

Chad Poloni1, Chrisos Tsoukas1.   

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Year:  2020        PMID: 32496544      PMCID: PMC7499531          DOI: 10.1093/cid/ciaa664

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


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To the Editor—The coronavirus disease 2019 (COVID-19) pandemic has disproportionally affected the elderly. The recently published study conducted in Wuhan, China, by Qin et al indicated dysregulation of the immune response specifically related to T lymphocytes, suggesting that they are highly involved in the pathophysiology of COVID-19 [1]. T-cell dysregulation is a major contributor to age-related changes of the immune system in the elderly, where T-cell responses become defective. The causes of immunodeficiency are multifactorial, including T-cell phenotypic changes, signal transduction failure, and thymic involution [2, 3]. Dysregulated T-cell responses have been linked to a variety of different diseases typically seen in the elderly, notably cardiovascular disease and Alzheimer’s [4, 5]. Furthermore, an immune phenotype known as the immune risk phenotype (IRP) has been used as a marker to track these changes, and is defined by a low CD4:CD8 T-cell ratio and an expansion of CD8+CD28− T cells in those cytomegalovirus seropositive [6]. It has been shown that IRP-positive individuals have an expansion of CD8+ effector memory T cells (TEM cells) that are low functioning and late-differentiated, causing memory inflation [7]. The recent COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2, has disproportionately impacted the elderly, with severe cases being linked to increases in proinflammatory cytokines in serum [1]. Qin et al sought to characterize the T-lymphocyte responses in COVID-19, with aims to differentiate between nonsevere and severe cases. The severe cases had a significantly higher average age compared to the nonsevere cases, indicating a worse outcome in the elderly. Additionally, the severe group had an increased incidence of cardiovascular disease as compared to the nonsevere population. As the IRP is seen at increased levels in the elderly and has been associated with increased incidence of cardiovascular disease, it would be interesting to see the significance of the IRP in terms of COVID-19 response. The Wuhan study also identified several differences in T-cell populations between the severe and nonsevere COVID-19 cases. Most notably, there were significantly higher levels of CD3+CD4+CD45RA+ T cells in the severe cases, which was attributed to increases in naive cells. Although naive T cells are characterized by the presence of a combination of surface markers including CD45RA, this marker alone cannot be used to define naive subsets. Furthermore, CD45RA is re-expressed during late differentiation and is part of a proinflammatory phenotype identified in the elderly [8]. This terminally differentiated T-cell population has been associated with immune dysregulation in the elderly and is further characterized by low CD28 and increased CD57 expression [9]. The Wuhan study failed to further characterize the CD45RA+ T-cell subset, making it impossible to attribute the increase specifically to the naive T-cell subset. Furthermore, the study did not report on CD8+CD45RA+ T-cell subsets, which are thought to play an important role in the inflammatory aging process. Improved characterization of terminally differentiated CD45RA+ T cells, along with screening for IRP positivity, may be beneficial in identifying those with potential for severe COVID-19.
  8 in total

Review 1.  From "truly naïve" to "exhausted senescent" T cells: when markers predict functionality.

Authors:  Anis Larbi; Tamas Fulop
Journal:  Cytometry A       Date:  2013-09-30       Impact factor: 4.355

Review 2.  T cell responses to cytomegalovirus.

Authors:  Paul Klenerman; Annette Oxenius
Journal:  Nat Rev Immunol       Date:  2016-04-25       Impact factor: 53.106

3.  Cytomegalovirus infection and risk of Alzheimer disease in older black and white individuals.

Authors:  Lisa L Barnes; Ana W Capuano; Alison E Aiello; Arlener D Turner; Robert H Yolken; E Fuller Torrey; David A Bennett
Journal:  J Infect Dis       Date:  2014-08-08       Impact factor: 5.226

4.  Comprehensive evaluation of the immune risk phenotype in successfully treated HIV-infected individuals.

Authors:  Patricia Ndumbi; Louise Gilbert; Christos M Tsoukas
Journal:  PLoS One       Date:  2015-02-03       Impact factor: 3.240

Review 5.  Cytomegalovirus Infection and Relative Risk of Cardiovascular Disease (Ischemic Heart Disease, Stroke, and Cardiovascular Death): A Meta-Analysis of Prospective Studies Up to 2016.

Authors:  Haoran Wang; Geng Peng; Jing Bai; Bing He; Kecheng Huang; Xinrong Hu; Dongliang Liu
Journal:  J Am Heart Assoc       Date:  2017-07-06       Impact factor: 5.501

6.  T cell aging: a review of the transcriptional changes determined from genome-wide analysis.

Authors:  Guobing Chen; Ana Lustig; Nan-Ping Weng
Journal:  Front Immunol       Date:  2013-05-20       Impact factor: 7.561

Review 7.  Immunosupportive therapies in aging.

Authors:  Tamas Fülöp; Anis Larbi; Katsuiku Hirokawa; Eugenio Mocchegiani; Bruno Lesourds; Stephen Castle; Anders Wikby; Claudio Franceschi; Graham Pawelec
Journal:  Clin Interv Aging       Date:  2007       Impact factor: 4.458

8.  Multiparameter flow cytometric analysis of CD4 and CD8 T cell subsets in young and old people.

Authors:  Sven Koch; Anis Larbi; Evelyna Derhovanessian; Dennis Ozcelik; Elissaveta Naumova; Graham Pawelec
Journal:  Immun Ageing       Date:  2008-07-25       Impact factor: 6.400

  8 in total

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