Impaired cytotoxic CD8+ T cell response in elderly COVID-19 patients
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Abstract
SARS-CoV-2 infection induces a T cell response that most likely contributes to virus control in COVID-19 patients, but may also induce immunopathology. Until now, the cytotoxic T cell response has not been very well characterized in COVID-19 patients.
Here, we analyzed the differentiation and cytotoxic profile of T cells in 30 cases of mild COVID-19 during acute infection. SARS-CoV-2 infection induced a cytotoxic response of CD8+ T cells, but not CD4+ T cells, characterized by the simultaneous production of granzyme A and B, as well as perforin within different effector CD8+ T cell subsets. PD-1 expressing CD8+ T cells also produced cytotoxic molecules during acute infection indicating that they were not functionally exhausted. However, in COVID-19 patients over the age of 80 years the cytotoxic T cell potential was diminished, especially in effector memory and terminally differentiated effector CD8+ cells, showing that elderly patients have impaired cellular immunity against SARS-CoV-2.
Our data provides valuable information about T cell responses in COVID-19 patients that may also have important implications for vaccine development.
Importance
Cytotoxic T cells are responsible for the elimination of infected cells and are key players for the control of viruses. CD8+ T cells with an effector phenotype express cytotoxic molecules and are able to perform target cell killing. COVID-19 patients with a mild disease course were analyzed for the differentiation status and cytotoxic profile of CD8+ T cells. SARS-CoV-2 infection induced a vigorous cytotoxic CD8+ T cell response. However, this cytotoxic profile of T cells was not detected in COVID-19 patients over the age of 80 years. Thus, the absence of a cytotoxic response in elderly patients might be a possible reason for the more frequent severity of COVID-19 in this age group in comparison to younger patients.
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SciScore for 10.1101/2020.08.21.262329: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: Written consent was obtained from each of the study participants.
IACUC: The study was approved by the University Hospital Essen’s ethical committee (ethics vote 20-9216-BO).Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Antibodies Sentences Resources For the surface staining of human cells, specific antibodies against human CD3 (OKT3, BioLegend), CD4 (OKT4, BioLegend), CD8 (BW135/80, Miltenyi Biotec), CD45RO (UCHL1, BioLegend), CCR7 (G043H7, BioLegend), CD28 (CD28.2, BioLegend), and PD-1 (EH12.2 H7, BioLegend) were used. human CD3suggested: NoneOKT3suggested: NoneCD4suggest…SciScore for 10.1101/2020.08.21.262329: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: Written consent was obtained from each of the study participants.
IACUC: The study was approved by the University Hospital Essen’s ethical committee (ethics vote 20-9216-BO).Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Antibodies Sentences Resources For the surface staining of human cells, specific antibodies against human CD3 (OKT3, BioLegend), CD4 (OKT4, BioLegend), CD8 (BW135/80, Miltenyi Biotec), CD45RO (UCHL1, BioLegend), CCR7 (G043H7, BioLegend), CD28 (CD28.2, BioLegend), and PD-1 (EH12.2 H7, BioLegend) were used. human CD3suggested: NoneOKT3suggested: NoneCD4suggested: NoneOKT4suggested: NoneCD8suggested: NoneCD45ROsuggested: NoneUCHL1suggested: NoneCCR7suggested: NoneG043H7suggested: NoneCD28suggested: NoneCD28.2suggested: NonePD-1suggested: NoneFor intracellular staining antibodies against human GzmA (CB9, BioLegend), GzmB (QA16A02, BioLegend) and perforin (B-D48, BioLegend) were used. CB9suggested: NoneQA16A02suggested: NoneSoftware and Algorithms Sentences Resources Analyses were done using FACSDiva software (Becton Dickinson) and FlowJo software (Becton Dickinson). FACSDivasuggested: (BD FACSDiva Software, RRID:SCR_001456)FlowJosuggested: (FlowJo, RRID:SCR_008520)A Pearson correlation coefficient was used for the definition of correlation. (GraphPad Prism software; GraphPad Software Inc. GraphPad Prismsuggested: (GraphPad Prism, RRID:SCR_002798)GraphPadsuggested: (GraphPad Prism, RRID:SCR_002798)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
- No funding statement was detected.
- No protocol registration statement was detected.
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