Evidence map›Paper›PMID 33254234›Full record

ArticleThe Journal of antimicrobial chemotherapy2021

Key genetic elements, single and in clusters, underlying geographically dependent SARS-CoV-2 genetic adaptation and their impact on binding affinity for drugs and immune control.

Romina Salpini, Mohammad Alkhatib, Giosuè Costa, Lorenzo Piermatteo, Francesca Alessandra Ambrosio, Velia Chiara Di Maio, Rossana Scutari, Leonardo Duca, Giulia Berno, Lavinia Fabeni and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Romina SalpiniDepartment of Experimental Medicine, University of Rome 'Tor Vergata', Rome, Italy.
Mohammad AlkhatibDepartment of Experimental Medicine, University of Rome 'Tor Vergata', Rome, Italy.
Giosuè CostaDipartimento di Scienze della Salute, Università 'Magna Græcia', Catanzaro, Italy.
Lorenzo PiermatteoDepartment of Experimental Medicine, University of Rome 'Tor Vergata', Rome, Italy.
Francesca Alessandra AmbrosioDipartimento di Scienze della Salute, Università 'Magna Græcia', Catanzaro, Italy.
Velia Chiara Di MaioDepartment of Experimental Medicine, University of Rome 'Tor Vergata', Rome, Italy.
Rossana ScutariDepartment of Experimental Medicine, University of Rome 'Tor Vergata', Rome, Italy.
Leonardo DucaDepartment of Experimental Medicine, University of Rome 'Tor Vergata', Rome, Italy.
Giulia BernoLaboratory of Virology, National Institute for Infectious Diseases 'Lazzaro Spallanzani'-IRCCS, Rome, Italy.
Lavinia FabeniLaboratory of Virology, National Institute for Infectious Diseases 'Lazzaro Spallanzani'-IRCCS, Rome, Italy.
Stefano AlcaroDipartimento di Scienze della Salute, Università 'Magna Græcia', Catanzaro, Italy.
Francesca Ceccherini-SilbersteinDepartment of Experimental Medicine, University of Rome 'Tor Vergata', Rome, Italy.
Anna ArteseDipartimento di Scienze della Salute, Università 'Magna Græcia', Catanzaro, Italy.
Valentina SvicherDepartment of Experimental Medicine, University of Rome 'Tor Vergata', Rome, Italy.
University of Rome Tor Vergata · ITMagna Graecia University · ITIstituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo define key genetic elements, single or in clusters, underlying SARS-CoV-2 (severe acute respiratory syndrome coronavirus-2) evolutionary diversification across continents, and their impact on drug-binding affinity and viral antigenicity.

methodsA total of 12 150 SARS-CoV-2 sequences (publicly available) from 69 countries were analysed. Mutational clusters were assessed by hierarchical clustering. Structure-based virtual screening (SBVS) was used to select the best inhibitors of 3-chymotrypsin-like protease (3CL-Pr) and RNA-dependent RNA polymerase (RdRp) among the FDA-approved drugs and to evaluate the impact of mutations on binding affinity of these drugs. The impact of mutations on epitope recognition was predicted following Grifoni et al. (Cell Host Microbe 2020. 27: 671-80.).

resultsThirty-five key mutations were identified (prevalence: ≥0.5%), residing in different viral proteins. Sixteen out of 35 formed tight clusters involving multiple SARS-CoV-2 proteins, highlighting intergenic co-evolution. Some clusters (including D614GSpike + P323LRdRp + R203KN + G204RN) occurred in all continents, while others showed a geographically restricted circulation (T1198KPL-Pr + P13LN + A97VRdRp in Asia, L84SORF-8 + S197LN in Europe, Y541CHel + H504CHel + L84SORF-8 in America and Oceania). SBVS identified 20 best RdRp inhibitors and 21 best 3CL-Pr inhibitors belonging to different drug classes. Notably, mutations in RdRp or 3CL-Pr modulate, positively or negatively, the binding affinity of these drugs. Among them, P323LRdRp (prevalence: 61.9%) reduced the binding affinity of specific compounds including remdesivir while it increased the binding affinity of the purine analogues penciclovir and tenofovir, suggesting potential hypersusceptibility. Finally, specific mutations (including Y541CHel + H504CHel) strongly hampered recognition of Class I/II epitopes, while D614GSpike profoundly altered the structural stability of a recently identified B cell epitope target of neutralizing antibodies (amino acids 592-620).

conclusionsKey genetic elements reflect geographically dependent SARS-CoV-2 genetic adaptation, and may play a potential role in modulating drug susceptibility and hampering viral antigenicity. Thus, a close monitoring of SARS-CoV-2 mutational patterns is crucial to ensure the effectiveness of treatments and vaccines worldwide.

Indexed as

Adaptation, BiologicalAmericasAmino Acid SequenceAntigens, ViralAntiviral AgentsAsiaComputer SimulationCoronavirus 3C ProteasesCoronavirus Protease InhibitorsCoronavirus RNA-Dependent RNA PolymeraseCOVID-19COVID-19 Drug TreatmentEuropeEvolution, MolecularHumansMolecular Docking Simulation3C-like protease, SARS coronavirusAntigens, ViralAntiviral AgentsCoronavirus 3C ProteasesCoronavirus Protease InhibitorsCoronavirus RNA-Dependent RNA Polymerase

Identifiers

PMID33254234
PMCPMC7799093
OpenAlexW3108303349

What OpenQuestion holds

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Registered trials

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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.