Evidence map›Paper›PMID 33647008›Full record

ArticlePLoS computational biology2021

Success of prophylactic antiviral therapy for SARS-CoV-2: Predicted critical efficacies and impact of different drug-specific mechanisms of action.

Peter Czuppon, Florence Débarre, Antonio Gonçalves, Olivier Tenaillon, Alan S Perelson, Jérémie Guedj, François Blanquart

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 60 citations in OpenAlex.

  1. Trial
  2. Article
  3. The kinetics of SARS-CoV-2 infection based on a human challenge study.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Synthesis of bis-furyl-pyrrolo[3,4-RSC medicinal chemistry · 2023
    Article
  14. Review
  15. Article
  16. Treatment of Respiratory Viral Coinfections.Epidemiologia (Basel, Switzerland) · 2022
    Article
  17. Article
  18. Article
  19. In vivo kinetics of SARS-CoV-2 infection and its relationship with a person's infectiousness.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. Article
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

7 authors at 3 institutions in 2 countries.

Peter CzupponInstitute of Ecology and Environmental Sciences of Paris, Sorbonne Université, CNRS, UPEC, IRD, INRAE, Paris, France.ORCID 0000-0003-1462-7237
Florence DébarreInstitute of Ecology and Environmental Sciences of Paris, Sorbonne Université, CNRS, UPEC, IRD, INRAE, Paris, France.ORCID 0000-0003-2497-833X
Antonio GonçalvesUniversité de Paris, INSERM, IAME, Paris, France.ORCID 0000-0002-8759-2429
Olivier TenaillonUniversité de Paris, INSERM, IAME, Paris, France.ORCID 0000-0002-3796-1601
Alan S PerelsonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.ORCID 0000-0002-2455-0002
Jérémie GuedjUniversité de Paris, INSERM, IAME, Paris, France.ORCID 0000-0002-5534-5482
François BlanquartCenter for Interdisciplinary Research in Biology, CNRS, Collège de France, PSL Research University, Paris, France.
Centre National de la Recherche Scientifique · FRInserm · FRLos Alamos National Laboratory · US

Funding

Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
NIAID NIH HHS R01 AI028433NIH HHS R01 OD011095
6 · The paper itself

Abstract

Repurposed drugs that are safe and immediately available constitute a first line of defense against new viral infections. Despite limited antiviral activity against SARS-CoV-2, several drugs are being tested as medication or as prophylaxis to prevent infection. Using a stochastic model of early phase infection, we evaluate the success of prophylactic treatment with different drug types to prevent viral infection. We find that there exists a critical efficacy that a treatment must reach in order to block viral establishment. Treatment by a combination of drugs reduces the critical efficacy, most effectively by the combination of a drug blocking viral entry into cells and a drug increasing viral clearance. Below the critical efficacy, the risk of infection can nonetheless be reduced. Drugs blocking viral entry into cells or enhancing viral clearance reduce the risk of infection more than drugs that reduce viral production in infected cells. The larger the initial inoculum of infectious virus, the less likely is prevention of an infection. In our model, we find that as long as the viral inoculum is smaller than 10 infectious virus particles, viral infection can be prevented almost certainly with drugs of 90% efficacy (or more). Even when a viral infection cannot be prevented, antivirals delay the time to detectable viral loads. The largest delay of viral infection is achieved by drugs reducing viral production in infected cells. A delay of virus infection flattens the within-host viral dynamic curve, possibly reducing transmission and symptom severity. Thus, antiviral prophylaxis, even with reduced efficacy, could be efficiently used to prevent or alleviate infection in people at high risk.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsBasic Reproduction NumberComputational BiologyCOVID-19Drug RepositioningDrug Therapy, CombinationHost Microbial InteractionsHumansModels, BiologicalPandemicsPrimary PreventionRisk FactorsStochastic ProcessesTime FactorsAntiviral Agents

Identifiers

PMID33647008
PMCPMC7951973
OpenAlexW3134790283

What OpenQuestion holds

Textmetadata
LicenceCC0
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.