Evidence map›Paper›PMID 40608022›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2025

Understanding Viral-Glycocalyx Interactions Using Brush-Linked to Cross-Linked Models.

Matthew Ziarnik, Decheng Hou, Xiaohui Frank Zhang, Anand Jagota

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2025. 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
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. Review
  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.

Matthew ZiarnikDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.
Decheng HouDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.ORCID 0000-0001-7936-1076
Xiaohui Frank ZhangDepartment of Biomedical Engineering, University of Massachusetts at Amherst, Amherst, Massachusetts 01002, United States.
Anand JagotaDepartment of Bioengineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States.ORCID 0000-0002-0779-0880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interaction of viruses with cells is mediated by the glycocalyx, a ubiquitous cell coating layer. Here, we present a study of the effects of the cellular glycocalyx, a complex outer cell structure, on viral internalization. Using both simulations and experiments, we have shown that the structure of the glycocalyx, specifically the number of cross-links within it, can greatly influence the ability of a virus to infect a cell. We show that the presence of the glycocalyx plays a direct role in viral internalization, and targeting the glycocalyx can be a potential avenue for future therapies. Overall, by comparison with experimental results, we conclude that a brush-like glycocalyx model is the more appropriate computational model compared to its partially cross-linked versions.

Indexed as

GlycocalyxVirus InternalizationCross-Linking ReagentsHumansCross-Linking Reagents

Identifiers

PMID40608022
PMCPMC12269076

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.