Evidence map›Paper›PMID 38004723›Full record

ArticleMicroorganisms2023

Characterization of SARS-CoV-2 Variants in Military and Civilian Personnel of an Air Force Airport during Three Pandemic Waves in Italy.

Michele Equestre, Cinzia Marcantonio, Nadia Marascio, Federica Centofanti, Antonio Martina, Matteo Simeoni, Elisabetta Suffredini, Giuseppina La Rosa, Giusy Bonanno Ferraro, Pamela Mancini and 13 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 4 institutions in 1 country.

Michele EquestreDepartment of Neurosciences, Istituto Superiore di Sanità, 00161 Rome, Italy.
Cinzia MarcantonioDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Nadia MarascioClinical Microbiology Unit, Department of Health Sciences, "Magna Grecia" University, 88100 Catanzaro, Italy.ORCID 0000-0003-0880-8955
Federica CentofantiDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Antonio MartinaCenter for Immunobiologicals Research and Evaluation, Istituto Superiore di Sanità, 00161 Rome, Italy.
Matteo SimeoniCenter for Immunobiologicals Research and Evaluation, Istituto Superiore di Sanità, 00161 Rome, Italy.
Elisabetta SuffrediniDepartment of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0001-7605-0539
Giuseppina La RosaDepartment of Environment and Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-2657-100X
Giusy Bonanno FerraroDepartment of Environment and Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-1998-7517
Pamela ManciniDepartment of Environment and Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-1685-9982
Carolina VeneriDepartment of Environment and Health, Istituto Superiore di Sanità, 00161 Rome, Italy.
Giovanni MateraClinical Microbiology Unit, Department of Health Sciences, "Magna Grecia" University, 88100 Catanzaro, Italy.
Angela QuirinoClinical Microbiology Unit, Department of Health Sciences, "Magna Grecia" University, 88100 Catanzaro, Italy.
Angela CostantinoDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Stefania TaffonDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Elena TritarelliDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Carmelo CampanellaClinical Analysis and Molecular Biology Laboratory Rome, Institute of Aerospace Medicine, 00185 Rome, Italy.
Giulio PisaniCenter for Immunobiologicals Research and Evaluation, Istituto Superiore di Sanità, 00161 Rome, Italy.
Roberto NisiniDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Enea SpadaDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Paola VerdeAerospace Medicine Department, Aerospace Test Division, Militay Airport Mario De Bernardi, Pratica di Mare, 00040 Rome, Italy.
Anna Rita CiccaglioneDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.
Roberto BruniDepartment of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-3035-5510
Istituto Superiore di Sanità · ITMagna Graecia University · ITInstitute of Molecular Biology and Pathology · ITItalian Aerospace Research Centre · IT

Funding

Italian Ministry of Health Project N°7S06
6 · The paper itself

Abstract

We investigated SARS-CoV-2 variants circulating, from November 2020 to March 2022, among military and civilian personnel at an Air Force airport in Italy in order to classify viral isolates in a potential hotspot for virus spread. Positive samples were subjected to Next-Generation Sequencing (NGS) of the whole viral genome and Sanger sequencing of the spike coding region. Phylogenetic analysis classified viral isolates and traced their evolutionary relationships. Clusters were identified using 70% cut-off. Sequencing methods yielded comparable results in terms of variant classification. In 2020 and 2021, we identified several variants, including B.1.258 (4/67), B.1.177 (9/67), Alpha (B.1.1.7, 9/67), Gamma (P.1.1, 4/67), and Delta (4/67). In 2022, only Omicron and its sub-lineage variants were observed (37/67). SARS-CoV-2 isolates were screened to detect naturally occurring resistance in genomic regions, the target of new therapies, comparing them to the Wuhan Hu-1 reference strain. Interestingly, 2/30 non-Omicron isolates carried the G15S 3CLpro substitution responsible for reduced susceptibility to protease inhibitors. On the other hand, Omicron isolates carried unusual substitutions A1803V, D1809N, and A949T on PLpro, and the D216N on 3CLpro. Finally, the P323L substitution on RdRp coding regions was not associated with the mutational pattern related to polymerase inhibitor resistance. This study highlights the importance of continuous genomic surveillance to monitor SARS-CoV-2 evolution in the general population, as well as in restricted communities.

Indexed as

3CLpromutationsNext-Generation SequencingnucleocapsidPlproRdRpSangerSARS-CoV-2 variantspike

Identifiers

PMID38004723
PMCPMC10672769
OpenAlexW4388379876

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.