Evidence map›Paper›PMID 26153713›Full record

ArticleBiophysical journal2015

Predicting first traversal times for virions and nanoparticles in mucus with slowed diffusion.

Austen M Erickson, Bruce I Henry, John M Murray, Per Johan Klasse, Christopher N Angstmann

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 17 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

5 authors at 2 institutions in 2 countries.

Austen M EricksonSchool of Mathematics and Statistics, UNSW Australia, Sydney, New South Wales, Australia.
Bruce I HenrySchool of Mathematics and Statistics, UNSW Australia, Sydney, New South Wales, Australia.
John M MurraySchool of Mathematics and Statistics, UNSW Australia, Sydney, New South Wales, Australia.
Per Johan KlasseDepartment of Microbiology and Immunology, Weill Cornell Medical College, Cornell University, New York, New York.
Christopher N AngstmannSchool of Mathematics and Statistics, UNSW Australia, Sydney, New South Wales, Australia. Electronic address: c.angstmann@unsw.edu.au.
UNSW Sydney · AUCornell University · US

Funding

NEUTRALIZATION OF PRIMARY HIV1 VIRUSESR37AI036082 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI MOORE, JOHN P · 1998 to 2017
$7.0M
NIAID NIH HHS R37 AI036082NIAID NIH HHS R37AI36082
6 · The paper itself

Abstract

Particle-tracking experiments focusing on virions or nanoparticles in mucus have measured mean-square displacements and reported diffusion coefficients that are orders of magnitude smaller than the diffusion coefficients of such particles in water. Accurate description of this subdiffusion is important to properly estimate the likelihood of virions traversing the mucus boundary layer and infecting cells in the epithelium. However, there are several candidate models for diffusion that can fit experimental measurements of mean-square displacements. We show that these models yield very different estimates for the time taken for subdiffusive virions to traverse through a mucus layer. We explain why fits of subdiffusive mean-square displacements to standard diffusion models may be misleading. Relevant to human immunodeficiency virus infection, using computational methods for fractional subdiffusion, we show that subdiffusion in normal acidic mucus provides a more effective barrier against infection than previously thought. By contrast, the neutralization of the mucus by alkaline semen, after sexual intercourse, allows virions to cross the mucus layer and reach the epithelium in a short timeframe. The computed barrier protection from fractional subdiffusion is some orders of magnitude greater than that derived by fitting standard models of diffusion to subdiffusive data.

Indexed as

Cervix UteriCoitusComputer SimulationDiffusionEpitheliumFemaleHIVHumansHydrogen-Ion ConcentrationModels, BiologicalMucusNanoparticlesSemenTime FactorsVaginaVirion

Identifiers

PMID26153713
PMCPMC4572576
OpenAlexW2138885211

What OpenQuestion holds

Textmetadata
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.