Evidence map›Paper›PMID 38862968›Full record

ArticleBMC medical genomics2024

Network proximity analysis as a theoretical model for identifying potential novel therapies in primary sclerosing cholangitis.

Jessica Leighton, David E J Jones, Jessica K Dyson, Heather J Cordell

Abstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jessica LeightonTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK. jessleighton@live.co.uk.
David E J JonesTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Jessica K Dyson *Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Heather J Cordell *Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.

Funding

Wellcome TrustWellcome Trust 219424/Z/19/Z
6 · The paper itself

Abstract

Primary Sclerosing Cholangitis (PSC) is a progressive cholestatic liver disease with no licensed therapies. Previous Genome Wide Association Studies (GWAS) have identified genes that correlate significantly with PSC, and these were identified by systematic review. Here we use novel Network Proximity Analysis (NPA) methods to identify already licensed candidate drugs that may have an effect on the genetically coded aspects of PSC pathophysiology.Over 2000 agents were identified as significantly linked to genes implicated in PSC by this method. The most significant results include previously researched agents such as metronidazole, as well as biological agents such as basiliximab, abatacept and belatacept. This in silico analysis could potentially serve as a basis for developing novel clinical trials in this rare disease.

Indexed as

Cholangitis, SclerosingGenome-Wide Association StudyHumansModels, TheoreticalAutoimmune liver diseaseDruggable genomeGenome-wide association studiesHepatologyNetwork proximity analysisPrimary sclerosing cholangitisTherapeutics

Identifiers

PMID38862968
PMCPMC11165726

What OpenQuestion holds

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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.