Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
1.
EBioMedicine ; 81: 104129, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1906949

ABSTRACT

BACKGROUND: There is currently no consensus on the diagnosis, definition, symptoms, or duration of COVID-19 illness. The diagnostic complexity of Long COVID is compounded in many patients who were or might have been infected with SARS-CoV-2 but not tested during the acute illness and/or are SARS-CoV-2 antibody negative. METHODS: Given the diagnostic conundrum of Long COVID, we set out to investigate SARS-CoV-2-specific T cell responses in patients with confirmed SARS-CoV-2 infection and/or Long COVID from a cohort of mostly non-hospitalised patients. FINDINGS: We discovered that IL-2 release (but not IFN-γ release) from T cells in response to SARS-CoV-2 peptides is both sensitive (75% +/-13%) and specific (88%+/-7%) for previous SARS-CoV-2 infection >6 months after a positive PCR test. We identified that 42-53% of patients with Long COVID, but without detectable SARS-CoV-2 antibodies, nonetheless have detectable SARS-CoV-2 specific T cell responses. INTERPRETATION: Our study reveals evidence (detectable T cell mediated IL-2 release) of previous SARS-CoV-2 infection in seronegative patients with Long COVID. FUNDING: This work was funded by the Addenbrooke's Charitable Trust (900276 to NS), NIHR award (G112259 to NS) and supported by the NIHR Cambridge Biomedical Research Centre. NJM is supported by the MRC (TSF MR/T032413/1) and NHSBT (WPA15-02). PJL is supported by the Wellcome Trust (PRF 210688/Z/18/Z, 084957/Z/08/Z), a Medical Research Council research grant MR/V011561/1 and the United Kingdom Research and a Innovation COVID Immunology Consortium grant (MR/V028448/1).


Subject(s)
COVID-19 , Antibodies, Viral , COVID-19/complications , Humans , Interleukin-2 , SARS-CoV-2 , Post-Acute COVID-19 Syndrome
2.
Nature ; 596(7872): 417-422, 2021 08.
Article in English | MEDLINE | ID: covidwho-1287811

ABSTRACT

Although two-dose mRNA vaccination provides excellent protection against SARS-CoV-2, there is little information about vaccine efficacy against variants of concern (VOC) in individuals above eighty years of age1. Here we analysed immune responses following vaccination with the BNT162b2 mRNA vaccine2 in elderly participants and younger healthcare workers. Serum neutralization and levels of binding IgG or IgA after the first vaccine dose were lower in older individuals, with a marked drop in participants over eighty years old. Sera from participants above eighty showed lower neutralization potency against the B.1.1.7 (Alpha), B.1.351 (Beta) and P.1. (Gamma) VOC than against the wild-type virus and were more likely to lack any neutralization against VOC following the first dose. However, following the second dose, neutralization against VOC was detectable regardless of age. The frequency of SARS-CoV-2 spike-specific memory B cells was higher in elderly responders (whose serum showed neutralization activity) than in non-responders after the first dose. Elderly participants showed a clear reduction in somatic hypermutation of class-switched cells. The production of interferon-γ and interleukin-2 by SARS-CoV-2 spike-specific T cells was lower in older participants, and both cytokines were secreted primarily by CD4 T cells. We conclude that the elderly are a high-risk population and that specific measures to boost vaccine responses in this population are warranted, particularly where variants of concern are circulating.


Subject(s)
Aging/immunology , COVID-19 Vaccines/immunology , Immunity , SARS-CoV-2/immunology , Adult , Aged , Aged, 80 and over , Aging/blood , Antibodies, Neutralizing/blood , Antibodies, Neutralizing/immunology , Antibodies, Viral/blood , Antibodies, Viral/immunology , Autoantibodies/immunology , B-Lymphocytes/cytology , B-Lymphocytes/immunology , B-Lymphocytes/metabolism , BNT162 Vaccine , COVID-19 Vaccines/administration & dosage , Female , Health Personnel , Humans , Immunity/genetics , Immunization, Secondary , Immunoglobulin A/immunology , Immunoglobulin Class Switching , Immunoglobulin G/genetics , Immunoglobulin G/immunology , Immunologic Memory/immunology , Inflammation/blood , Inflammation/immunology , Interferon-gamma/immunology , Interleukin-2/immunology , Male , Middle Aged , Somatic Hypermutation, Immunoglobulin , Spike Glycoprotein, Coronavirus/immunology , T-Lymphocytes/immunology , Vaccination , Vaccines, Synthetic/administration & dosage , Vaccines, Synthetic/immunology
3.
Health Qual Life Outcomes ; 18(1): 387, 2020 Dec 14.
Article in English | MEDLINE | ID: covidwho-977679

ABSTRACT

BACKGROUND: Little is known about the impact of the global coronavirus disease-2019 (COVID-19) pandemic on patients with cardiovascular disease (CVD), the biggest global killer and major risk factor for severe COVID-19 infections. We aim to explore the indirect consequences of COVID-19 on health-related quality of life (HRQoL) of patients with CVD. METHODS: Eighty-one adult outpatients with CVD were assessed using the EQ-5D, a generic health status instrument with five dimensions (mobility, self-care, usual activities, pain/discomfort, anxiety/depression), before and during the pandemic. Changes in the EQ-5D dimensional responses were compared categorically as well as using the dimension-specific sum-score (range 1-3, with a higher score indicating worse health). The responses and sum-score were compared using the exact test of symmetry and the paired t-test, respectively. RESULTS: These patients [mean age (SD) 59.8 (10.5); 92.6% males; 56% New York Heart Association (NYHA) functional class I] had coronary artery disease (69%), heart failure (28%), or arrhythmias (15%). None experienced change in NYHA class between assessments. About 30% and 38% of patients reported problems with at least one of the EQ-5D dimensions pre-pandemic and during the pandemic, respectively. The highest increase in health problems was reported for anxiety/depression (12.5% pre-pandemic vs 23.5% during pandemic; p = 0.035) with mean domain-specific score from 1.12 (SD 0.33) to 1.25 (SD 0.46) (standardized effect size = 0.373, p = 0.012). There was no meaningful change in other dimensions as well as overall HRQoL. CONCLUSION: The COVID-19 pandemic is associated with a significant worsening of the mental health of patients with CVD.


Subject(s)
COVID-19/psychology , Cardiovascular Diseases/psychology , Health Status , Quality of Life , Activities of Daily Living , Adult , Aged , Anxiety/complications , Asian People , Cardiovascular Diseases/complications , Cardiovascular Diseases/ethnology , Depression/complications , Female , Health Surveys , Humans , Longitudinal Studies , Male , Middle Aged , Pain/etiology , Pandemics , Self Care , Singapore
SELECTION OF CITATIONS
SEARCH DETAIL