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1.
J Clin Endocrinol Metab ; 108(7): e474-e479, 2023 Jun 16.
Article in English | MEDLINE | ID: covidwho-2196659

ABSTRACT

CONTEXT: Poor glucose control has been associated with increased mortality in COVID-19 patients with type 1 diabetes (T1D). OBJECTIVE: This work aimed to assess the effect of prevaccination glucose control on antibody response to the SARS-CoV-2 vaccine BNT162b2 in T1D. METHODS: We studied 26 patients with T1D scheduled to receive 2 doses, 21 days apart, of BNT162b2, followed prospectively for 6 months with regular evaluation of SARS-CoV-2 antibodies and glucose control. Immunoglobulin G (IgG) to spike glycoprotein were assessed by enzyme-linked immunosorbent assay, and serum neutralization by a live SARS-CoV-2 assay (Vero E6 cells system). Glycated hemoglobin A1c (HbA1c) and continuous glucose monitoring (CGM), including time in range (TIR) and above range (TAR), were collected. The primary exposure and outcome measures were prevaccination glucose control, and antibody response after vaccination, respectively. RESULTS: Prevaccination HbA1c was unrelated to postvaccine spike IgG (r = -0.33; P = .14). Of note, the CGM profile collected during the 2 weeks preceding BNT162b2 administration correlated with postvaccine IgG response (TIR: r = 0.75; P = .02; TAR: r = -0.81; P = .008). Patients meeting the recommended prevaccination glucose targets of TIR (≥ 70%) and TAR (≤ 25%) developed stronger neutralizing antibody titers (P < .0001 and P = .008, respectively), regardless of HbA1c. Glucose control along the study time frame was also associated with IgG response during follow-up (TIR: r = 0.93; P < .0001; TAR: r = -0.84; P < .0001). CONCLUSION: In T1D, glucose profile during the 2 weeks preceding vaccination is associated with stronger spike antibody binding and neutralization, highlighting a role for well-controlled blood glucose in vaccination efficacy.


Subject(s)
COVID-19 , Diabetes Mellitus, Type 1 , Humans , COVID-19 Vaccines , Glucose , BNT162 Vaccine , Blood Glucose , Antibody Formation , Blood Glucose Self-Monitoring , COVID-19/prevention & control , Glycated Hemoglobin , SARS-CoV-2 , Immunoglobulin G , Antibodies, Neutralizing , Antibodies, Viral
3.
iScience ; 24(8): 102898, 2021 Aug 20.
Article in English | MEDLINE | ID: covidwho-1322153

ABSTRACT

The clinical benefit of convalescent plasma (CP) for patients with coronavirus disease (COVID)-19 is still debated. In this systematic review and meta-analysis, we selected 10 randomized clinical trials (RCTs) and 15 non-randomized studies (total number of patients = 22,591) of CP treatment and evaluated two different scenarios: (1) disease stage of plasma recipients and (2) donated plasma antibody titer, considering all-cause mortality at the latest follow-up. Our results show that, when provided at early stages of the disease, CP significantly reduced mortality: risk ratio (RR) 0.72 (0.68, 0.77), p < 0.00001, while provided in severe or critical conditions, it did not (RR: 0.94 [0.86, 1.04], p = 0.22). On the other hand, the benefit on mortality was not increased by using plasma with a high-antibody titer compared with unselected plasma. This meta-analysis might promote CP usage in patients with early-stage COVID-19 in further RCTs to maximize its benefit in decreasing mortality, especially in less affluent countries.

4.
BMC Infect Dis ; 21(1): 350, 2021 Apr 15.
Article in English | MEDLINE | ID: covidwho-1186555

ABSTRACT

BACKGROUND: The SARS-CoV-2 infection has emerged as a rapidly spreading infection. Today it is relatively easy to isolate Covid-19 symptomatic cases, while remains problematic to control the disease spread by infected but symptom-free individuals. The control of this possible path of contagion requires drastic measures of social distancing, which imply the suspension of most activities and generate economic and social issues. This study is aimed at estimating the percentage of asymptomatic SARS-CoV-2 infection in a geographic area with relatively low incidence of Covid-19. METHODS: Blood serum samples from 388 healthy volunteers were analyzed for the presence of anti-SARS-CoV-2 IgG by using an ELISA assay based on recombinant viral nucleocapsid protein. RESULTS: We found that 7 out of 388 healthy volunteers, who declared no symptoms of Covid-19, like fever, cough, fatigue etc., in the preceding 5 months, have bona fide serum anti-SARS-CoV-2 IgG, that is 1.8% of the asymptomatic population (95% confidence interval: 0.69-2.91%). CONCLUSIONS: The estimated range of asymptomatic individuals with anti-SARS-CoV-2 IgG should be between 26,565 and 112, 350. In the same geographic area, there are 4665 symptomatic diagnosed cases.


Subject(s)
Antibodies, Viral/blood , Asymptomatic Infections , COVID-19/epidemiology , Adult , Aged , Humans , Immunoglobulin G/blood , Incidence , Italy/epidemiology , Middle Aged , Young Adult
6.
Trends Immunol ; 42(1): 18-30, 2021 01.
Article in English | MEDLINE | ID: covidwho-1065237

ABSTRACT

Severe infection with severe acute respiratory syndrome coronavirus (SARS-CoV)-2 is characterized by massive cytokine release and T cell loss. The exaggerated host immune response, incapable of viral clearance, instead aggravates respiratory distress, as well as cardiac, and/or damage to other organs. The mortality pattern of SARS-CoV-2 infection, higher in older versus younger adults and almost absent in children, is possibly caused by the effects of age and pre-existing comorbidities on innate and adaptive immunity. Here, we speculate that the abnormal and excessive immune response to SARS-CoV-2 infection partly depends on T cell immunological memory, which is more pronounced in adults compared with children, and may significantly contribute to immunopathology and massive collateral damage in coronavirus disease 2019 (COVID-19) patients.


Subject(s)
Adaptive Immunity/immunology , COVID-19/immunology , Immunity, Innate/immunology , SARS-CoV-2/immunology , T-Lymphocytes/immunology , COVID-19/prevention & control , COVID-19/virology , Cytokines/immunology , Cytokines/metabolism , Humans , Immunologic Memory/immunology , Models, Immunological , SARS-CoV-2/physiology , T-Lymphocyte Subsets/cytology , T-Lymphocyte Subsets/immunology , T-Lymphocyte Subsets/metabolism , T-Lymphocytes/cytology , T-Lymphocytes/metabolism
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