Evidence map›Paper›PMID 34491986›Full record

ArticlePLoS computational biology2021

Episome partitioning and symmetric cell divisions: Quantifying the role of random events in the persistence of HPV infections.

Thomas Beneteau, Christian Selinger, Mircea T Sofonea, Samuel Alizon

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 93% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Observational
  2. Review
  3. Review
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

4 authors at 1 institution in 1 country.

Thomas BeneteauLaboratoire MIVEGEC, Université de Montpellier, Centre national de la recherche scientifique, Institut de recherche pour le développement, Montpellier, France.ORCID 0000-0003-4885-696X
Christian SelingerLaboratoire MIVEGEC, Université de Montpellier, Centre national de la recherche scientifique, Institut de recherche pour le développement, Montpellier, France.ORCID 0000-0002-4361-549X
Mircea T SofoneaLaboratoire MIVEGEC, Université de Montpellier, Centre national de la recherche scientifique, Institut de recherche pour le développement, Montpellier, France.ORCID 0000-0002-4499-0435
Samuel AlizonLaboratoire MIVEGEC, Université de Montpellier, Centre national de la recherche scientifique, Institut de recherche pour le développement, Montpellier, France.ORCID 0000-0002-0779-9543
Institut de Recherche pour le Développement · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human Papillomaviruses (HPV) are one of the most prevalent sexually transmitted infections (STI) and the most oncogenic viruses known to humans. The vast majority of HPV infections clear in less than 3 years, but the underlying mechanisms, especially the involvement of the immune response, are still poorly known. Building on earlier work stressing the importance of randomness in the type of cell divisions in the clearance of HPV infection, we develop a stochastic mathematical model of HPV dynamics that combines the previous aspect with an explicit description of the intracellular level. We show that the random partitioning of virus episomes upon stem cell division and the occurrence of symmetric divisions dramatically affect viral persistence. These results call for more detailed within-host studies to better understand the relative importance of stochasticity and immunity in HPV infection clearance.

Indexed as

Cell DivisionComputational BiologyComputer SimulationHost Microbial InteractionsHumansModels, BiologicalModels, ImmunologicalPapillomaviridaePapillomavirus InfectionsPlasmidsStochastic ProcessesViral Load

Identifiers

PMID34491986
PMCPMC8448377
OpenAlexW3161420129

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.