Literature DB >> 34052240

One-year durability of anti-spike IgG to SARS-CoV-2: Preliminary data from the anticrown prospective observational study one year durability of COVID-19 anti-spike IgG.

Amedeo F Capetti1, Fabio Borgonovo2, Davide Mileto3, Gloria Gagliardi3, Chiara Mariani4, Angelica Lupo2, Gianfranco Dedivitiis2, Paola Meraviglia2, Martina Pellicciotta2, Luciana Armiento2, Maria V Cossu2, Giuliano Rizzardini2.   

Abstract

Data are presented of 368/503 post-COVID-19 outpatients followed within the AntiCROWN Cohort who have a one-year control and a baseline assessment of anti-S1/S2 antibodies, detected with the The LIAISON® SARS-CoV-2 S1/S2 IgG solution by DiaSorin. Loss of response occurred in 4 subjects having a baseline level below 50 AU/mL.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  Antibodies; COVID-19; Coronavirus; Durability; Observational; Spike

Year:  2021        PMID: 34052240      PMCID: PMC8158344          DOI: 10.1016/j.jinf.2021.05.023

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


Dear Editor, We read with interest the article by Ross J Harris and colleagues, showing assay-dependent durability of antibodies to SARS-CoV-2 after 6 months of symptomatic and asymptomatic COVID-19 as assessed by five different immunoassays with a prediction of durability at one year. We present our preliminary data on DiaSorin anti S1/S2 IgG production after one year from disease onset or detection of SARS-CoV-2 infection. The AntiCROWN study is being run in an hospital-based outpatient clinic open to all people who have serological or PCR evidence of SARS-Cov-2 infection. On May 13, 2020, the Infectious Diseases Department of Luigi Sacco Hospital, Milan, Italy, started an outpatient clinic for the follow-up of COVID-19 patients, diagnosed by a positive nasopharyngeal swab or a combination of clinical and epidemiological criteria and a positive serological test. Only patients whose onset was dated between February 20 and April 30, 2020 are included in this analysis (the so called “first wave”). The LIAISON® SARS-CoV-2 S1/S2 IgG solution (DiaSorin, Saluggia, Italy) used to quantify the antibody response shows a positive agreement of 94.4% (88.8%–97.2%) with in vitro neutralising antibody titre. The response was tested at the first outpatient visit (T1) set at week 12 ± 3 weeks from symptoms onset or diagnosis in asymptomatic subjects, at T2 (20 ± 3 weeks), T3 (32 ± 3 weeks) and T4 (52 ± 3 weeks). Since December, 2020, we were imposed a ceiling cut-off of 400 AU/mL. According to the WHO classification for COVID-19 severity patients were divided into mild, moderate, severe and critical. We calculated the relative risk of falling < 15 Arbitrary Units (AU)/mL with 95% confidence interval and statistical significance according to Altman and the significance of decay or increase over time through the Mann-Whitney and Wilcoxon log-rank test. The study was approved by the “Comitato Etico Interaziendale Area 1″. All patients signed a written informed consent. The full ARCOVID cohort counts 1048 outpatients, of whom 503 from the ‘first wave’. We present preliminary data of 368 patients who had a one-year control of serum anti-S1/S2 IgG levels (11 to 14 months, median 12.5 months). Our patients belonged to all severity classes according to the WHO definition. However, since response better correlated with baseline antibody production, we used this criterion to analyse data presented in Table 1 , stratifying by <15 (positive cut-off value), 15–50 (arbitrary cut-off for low antibody production) and >50 AU/mL. The mean age was 58.9 years (range 4–92 years) and 174 (41.8%) were females. Immune suppression or immune depression (HIV infection, cancer, immune diseases and autoimmunity, steroids, anti-cancer chemotherapy, monoclonal anti-B lymphocyte drugs) were present in patients. Our data suggest that loss of anti-S1/S2 IgG response at one year may be a rare event, occurring only in subjects who produce less than 50 AU/mL within the initial 4 months since disease onset. Of note, 12 patients had unexpected increase of antibody production in the absence of vaccination (+ 40 AU/mL and at least double compared to baseline), which suggests renewed exposure to the virus without developing symptoms. Stratifying for baseline antibody production did not show significant differences in such phenomenon. Moreover, only 6 patients had a new clinical COVID-19 event, four having IgG levels below 15 AU/mL. Events were mild and only one patient, who had recently been receiving monoclonal anti-B lymphocyte suppressive therapy for lymphoma, developed moderate pneumonia and was admitted to hospital, showing rapid clinical improvement during a 5-day stay. This patient subsequently responded minimally to recall vaccination with the BNT162b2 vaccine (15.1 AU/mL), whereas all the remaining 75 patients who were vaccinated showed an increase in antibody production over the ceiling cut-off, 67 (88.2%) having received a single vaccine shot. Fig. 1 allows overall visual understanding of the antibody production over time. In conclusion, our observation suggests that antiS1/S2 antibodies are fairly stable over one year. The few clinical events seem to occur almost only in those patients who had never responded and loss of protection in those who showed poor initial antibody response. This confirms similar observations reported in a shorter time frame by Lumley et al. Our aim now is to continue the observation until two years and widen the population with the “second wave”, which, by November, will bring our one-year observation to almost 1.100 patients, as well as to follow the response to single-dose vaccination over time in COVID-19 patients. If data are confirmed, we feel that COVID-19 provides long-lasting immunity to symptomatic subjects as well as to a proportion of asymptomatic subjects, although boosting immunity with a single dose, irrespective of the time lapsed from the clinical event, may improve the intensity and possibly the duration of such response. Similar observations may help inform health policy decisions, although their main limitation remains the fact they are necessarily performed in a setting influenced by the WHO advices and further restricted by local authorities’ measures. Indeed, nobody knows what this means in a world free of masks and social distancing.
Table 1

Antibody response and new COVID-19 events, total 368/503 patients with results at one year.

Baseline value (AU*/mL)< 1515–50>50
N (%)29 (7.9)65 (17.7)274 (74.4)
one died of mesothelioma
Female sex, n (%)9 (31)41 (63.1)126 (46)
Median age (range)48.5 (18-92)46.5 (15–83)59 (4–87)
Immune depression/ immune suppression, n (%)1 (3.4)9 (14.3)43 (15.9)
WHO severity scale represented (m: mild; M: moderate; S: severe; C: critical, n, %)20 m (68.9); 7 M (24.2); 1 S (3.4); 1 C (3.4)49 m (77.8); 11 M (14.3); 2 S (3.2); 3 C (4.8)93 m (34.1); 73 M (26.3); 46 S (16.7); 62 C (23)
Lost response (<15 AU/mL)4 (6.1% of evaluable natural course)0
§RR vs >50 for losing reponse [95% CI]37.5 [2.0–688.0]p = 0.0146
Lost response (<3.8 AU/mL)00
Maintained natural response49241
Lost AU/mL, median [IQR], variance;-4.4 [13; +1-2.5], 1125.2-25 [-56; +7], 12184.2
P for lost AU/mL vs >50p = 0.0295
Vaccinated, n (% achieved >400 AU/mL)4 (75), all baseline >10 AU/mL, 1 with recall dose15 (100), 3 with recall dose57 (100), 5 with recall dose
Acquired response later3
Repeated clinical COVID-19, n (%=)4 (13.8) one admitted for pneumonia1 (1.5)1 (0.4)
RR vs >50 for repeating clinical COVID [95%CI]37.7 [4.4–326.9]p = 0.0014.2 [0.3–66.5]p = 0.3067

*AU = Arbitrary Units

†CI = Confidence Interval

‡IQR = InterQuartile Range

§RR = Relative Risk

Fig. 1

One Year follow-up of anti-S1/S2 antibody levels in subjects: A, with baselibe lavels <15 AU/mL; B, with baseline levels 15 to 50 AU/mL; C, with baseline levels >50 AU/mL. D: responses in vaccinated subjects (Results limited by ceiling cut-off effect at 400 AU/mL)).

Antibody response and new COVID-19 events, total 368/503 patients with results at one year. *AU = Arbitrary Units †CI = Confidence Interval ‡IQR = InterQuartile Range §RR = Relative Risk One Year follow-up of anti-S1/S2 antibody levels in subjects: A, with baselibe lavels <15 AU/mL; B, with baseline levels 15 to 50 AU/mL; C, with baseline levels >50 AU/mL. D: responses in vaccinated subjects (Results limited by ceiling cut-off effect at 400 AU/mL)).
  2 in total

1.  Serological surveillance of SARS-CoV-2: Six-month trends and antibody response in a cohort of public health workers.

Authors:  Ross J Harris; Heather J Whitaker; Nick J Andrews; Felicity Aiano; Zahin Amin-Chowdhury; Jessica Flood; Ray Borrow; Ezra Linley; Shazaad Ahmad; Lorraine Stapley; Bassam Hallis; Gayatri Amirthalingam; Katja Höschler; Ben Parker; Alex Horsley; Timothy J G Brooks; Kevin E Brown; Mary E Ramsay; Shamez N Ladhani
Journal:  J Infect       Date:  2021-03-22       Impact factor: 6.072

2.  Antibody Status and Incidence of SARS-CoV-2 Infection in Health Care Workers.

Authors:  Sheila F Lumley; Denise O'Donnell; Nicole E Stoesser; Philippa C Matthews; Alison Howarth; Stephanie B Hatch; Brian D Marsden; Stuart Cox; Tim James; Fiona Warren; Liam J Peck; Thomas G Ritter; Zoe de Toledo; Laura Warren; David Axten; Richard J Cornall; E Yvonne Jones; David I Stuart; Gavin Screaton; Daniel Ebner; Sarah Hoosdally; Meera Chand; Derrick W Crook; Anne-Marie O'Donnell; Christopher P Conlon; Koen B Pouwels; A Sarah Walker; Tim E A Peto; Susan Hopkins; Timothy M Walker; Katie Jeffery; David W Eyre
Journal:  N Engl J Med       Date:  2020-12-23       Impact factor: 91.245

  2 in total
  6 in total

1.  Long-term evolution of humoral immune response after SARS-CoV-2 infection.

Authors:  Elisa Teyssou; Karen Zafilaza; Sophie Sayon; Stéphane Marot; Margot Dropy; Cathia Soulie; Basma Abdi; Florence Tubach; Pierre Hausfater; Anne-Geneviève Marcelin; David Boutolleau
Journal:  Clin Microbiol Infect       Date:  2022-03-17       Impact factor: 13.310

2.  Robust and Functional Immune Memory Up to 9 Months After SARS-CoV-2 Infection: A Southeast Asian Longitudinal Cohort.

Authors:  Hoa Thi My Vo; Alvino Maestri; Heidi Auerswald; Sopheak Sorn; Sokchea Lay; Heng Seng; Sotheary Sann; Nisa Ya; Polidy Pean; Philippe Dussart; Olivier Schwartz; Sovann Ly; Timothée Bruel; Sowath Ly; Veasna Duong; Erik A Karlsson; Tineke Cantaert
Journal:  Front Immunol       Date:  2022-02-03       Impact factor: 7.561

3.  Assessment of Diagnostic Specificity of Anti-SARS-CoV-2 Antibody Tests and Their Application for Monitoring of Seroconversion and Stability of Antiviral Antibody Response in Healthcare Workers in Moscow.

Authors:  Vera S Kichatova; Fedor A Asadi Mobarkhan; Ilya A Potemkin; Sergey P Zlobin; Oksana M Perfilieva; Vladimir T Valuev-Elliston; Alexander V Ivanov; Sergey A Solonin; Mikhail A Godkov; Maria G Belikova; Mikhail I Mikhailov; Karen K Kyuregyan
Journal:  Microorganisms       Date:  2022-02-12

4.  Comparative Characterization of Human Antibody Response Induced by BNT162b2 Vaccination vs. SARS-CoV-2 Wild-Type Infection.

Authors:  Theano Lagousi; John Routsias; Maria Mavrouli; Ioanna Papadatou; Maria Geropeppa; Vana Spoulou
Journal:  Vaccines (Basel)       Date:  2022-07-29

5.  Waning antibodies in SARS-CoV-2 naïve vaccinees: Results of a three-month interim analysis of ongoing immunogenicity and efficacy surveillance of the mRNA-1273 vaccine in healthcare workers.

Authors:  Marie Tré-Hardy; Roberto Cupaiolo; Alain Wilmet; Ingrid Beukinga; Laurent Blairon
Journal:  J Infect       Date:  2021-06-20       Impact factor: 38.637

6.  Decreasing humoral response among healthcare workers up to 4 months after two doses of BNT162b2 vaccine.

Authors:  Valentine Marie Ferré; Samuel Lebourgeois; Reyene Menidjel; Gilles Collin; Houssem Redha Chenane; Manuella Onambele Guindi; Yazdan Yazdanpanah; Jean-François Timsit; Charlotte Charpentier; Diane Descamps; Nadhira Fidouh; Benoit Visseaux
Journal:  J Infect       Date:  2021-09-29       Impact factor: 6.072

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.