Evidence map›Paper›PMID 40557318›Full record

ReviewFrontiers in cellular and infection microbiology2025

Pathogens that infect mammalian cells via sulfonated glycosaminoglycans.

Jessica S Morris, Paul A Dawson

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 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. Biology · 2026
    Article
  2. Article
  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

2 authors.

Jessica S MorrisMater Research Institute - University of Queensland, Translational Research Institute, Woolloongabba, QLD, Australia.
Paul A DawsonMater Research Institute - University of Queensland, Translational Research Institute, Woolloongabba, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sulfonated glycosaminoglycans, such as heparan sulfate and dermatan sulfate, form major components of the cell surface and extracellular matrix, and display vital roles in mammalian physiology, including growth and development. The identification of specific binding to different glycosaminoglycans by a variety of pathogens has led to increased interest in this mechanism for understanding infection. Over the past four decades there have been more than 300 studies on various pathogens that utilize glycosaminoglycans in their infection process. Currently, no articles have collated all known pathogens that use this process. So it is timely that this article provides an overview of all known pathogens that use glycosaminoglycans to enhance their binding and/or infection in human cells. This was done by using the search terms "sulfate/sulphate" "pathogen", "virus", "bacteria", "parasite", "infection" and "glycosaminoglycans" to curate peer-reviewed and relevant original research articles from PubMed. This search found that glycosaminoglycans are used in the infection process for 59 viruses, 28 bacteria, and 8 other pathogens (i.e. parasitic protozoa, prions). These findings highlight the conserved and widespread use of glycosaminoglycans for enhancing pathogen infection. In addition, the curated list of pathogens in this study provides a resource for future studies to consider potential therapeutic approaches for targeted disruption of the interaction between pathogens and glycosaminoglycans.

Indexed as

BacteriaGlycosaminoglycansHost-Pathogen InteractionsVirusesAnimalsHeparan SulfateHumansGlycosaminoglycansHeparan Sulfatebacteriaglycosaminoglycaninfectionparasiteproteoglycansulfatevirus

Identifiers

PMID40557318
PMCPMC12185431

What OpenQuestion holds

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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.