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The Conundrum of Giglio Island: Unraveling the dynamics of an apparent resistance to COVID-19 – A descriptive study

Authors :
Antonio Bognanni
Armando Schiaffino
Fulvia Pimpinelli
Sara Donzelli
Ilaria Celesti
Sabrina Strano
Elena Solari
Giorgia Schiaffino
Gabriele Solari
Domenico Solari
Serena Delbue
Marta Rigoni
Giandomenico Nollo
Greta E. Muti
Giovanna E.U. Muti Schünemann
Holger J Schünemann
Giovanni Blandino
Aldo Morrone
Paola Muti
Source :
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 1467-1471 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Objectives: Despite an extensive risk of exposure to COVID-19, the residents of Giglio Island, Italy, did not develop any symptom of SARS-CoV-2. The present study aims to characterize the nature of exposure and to describe the local population dynamics underlying its apparent resistance to COVID-19. Methods: Descriptive study of an islander partially-segregated population cohort based on a seroprevalence screening conducted from Aprile 29 to May 3, 2020 and including SARS-CoV-2 seroprevalence and viral prevalence in samples of saliva assessed through RT-qPCR. Serologic testing was performed using a COVID-19 IgG/IgM rapid test while molecular analyses were carried out by Allplex 2019-nCoV Assay (Seegene). Results: A total of 634 residents out of 748 (84.8%) present at the time, and 89 non-residents underwent serological testing. 364 males and 359 females with a median age of 58.5 years. The serological screening identified one positive, asymptomatic subject. The Nucleic Acid Amplification Tests (NAAT) did not yield any positive result. Conclusion: Despite extensive exposure to SARS-CoV-2, possibly only one new asymptomatic infection occurred in this population, as documented by IgM positivity not confirmed by RT-qPCR. This may be due to unknown protective factors or chance. On the basis of this baseline study, using its population as a reference model, further investigations will be conducted to test the advanced hypotheses, focusing on the evaluation of a possible cross-reactivity to SARS-CoV-2 from exposure to endemic viruses.

Details

Language :
English
ISSN :
20010370
Volume :
19
Issue :
1467-1471
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.3455a4c6042be99d1fd47ed0e74e9
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2021.02.008