Evidence map›Paper›PMID 36255684›Full record

ArticleAdvances in neurobiology2023

Carbohydrates: Binding Sites and Potential Drug Targets for Neural-Affecting Pathogens.

Cara-Lynne Schengrund

Abstract read
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In one paragraph

Article in Advances in neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Cara-Lynne SchengrundDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA. cxs8@psu.edu.
Pennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of viruses that have caused wide spread concern e.g. Ebola, Zika, and SARS-CoV2 (severe acute respiratory syndrome coronavirus 2 also known as COVID 19) have at various times, become newsworthy as a result of being newly discovered, mutations enabling them to more efficiently infect humans or modern modes of transportation moving them to areas with naive, susceptible populations. As more is learned about the mechanisms whereby these pathogens enter human cells it has become increasingly evident that carbohydrates expressed on the surface of either target cells or the pathogens themselves are essential. Variability in carbohydrate structures as well as the presence of carbohydrate binding receptors (lectins) provides a plethora of potential binding interactions by which infection of cells can occur. Identification of specific lipid- or protein-associated carbohydrates essential for infection provides support for research being done to develop carbohydrate related inhibitors of those interactions. This chapter (1) discusses scenarios for how carbohydrates affect the ability of specific infectious agents to interact with neural cells, (2) gives examples of problems that may result from development of antibodies to carbohydrate antigens found on pathogens that are similar to epitopes expressed on mammalian cells, and (3) provides examples of approaches either in use or under consideration for translational uses of this information.

Indexed as

COVID-19Zika VirusZika Virus InfectionAnimalsBinding SitesCarbohydratesEpitopesHumansLectinsLipidsMammalsRNA, ViralSARS-CoV-2CarbohydratesEpitopesLectinsLipidsRNA, ViralBacterial toxinsGlycodendrimersLatencyLipid raftsMolecular mimicryMultivalencyPeptide mimetics

Identifiers

PMID36255684
OpenAlexW4306730627

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.