Evidence map›Paper›PMID 39292690›Full record

ArticlePloS one2024

Identification of pivotal genes and pathways in Chorea-acanthocytosis using comprehensive bioinformatic analysis.

Ravinder Sharma, Kiran Yadav, Leeza Monga, Vikas Gupta, Vikas Yadav

Abstract read
In one paragraph

Article in PloS one, 2024. 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
–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

1 citing paper in PubMed.

  1. Article
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.

Ravinder SharmaFaculty of Pharmaceutical Sciences, The ICFAI University, Baddi, Himachal Pradesh, India.
Kiran YadavFaculty of Pharmaceutical Sciences, The ICFAI University, Baddi, Himachal Pradesh, India.
Leeza MongaDepartment of Clinical Research, National Institute of Pharmaceutical Education and Research, S.A.S. Nagar, Mohali, Punjab, India.
Vikas GuptaUniversity Centre of Excellence in Research, Baba Farid University of Health Sciences, Faridkot, Punjab, India.
Vikas YadavDepartment of Translational Medicine, Clinical Research Centre, Skåne University Hospital, Lund University, Malmö, Sweden.ORCID 0000-0003-4353-3731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chorea-acanthocytosis (ChAc), an autosomal recessive disorder, is associated with cognitive and behavioral abnormalities. Previous studies were focused around exploring the functional annotation of VPS13A gene in ChAc, whereas the genetic labyrinth underlying this disease and plausible drug targets were underexplored. In the present study, we have identified the pivotal genes and molecular pathways implicated in ChAc using comprehensive bioinformatics analysis. In our analysis we found 27 distinct genes in Homo sapiens linked to ChAc, out of which 15 were selected as candidate genes for enrichment analysis based on their Gene Ontology (GO) annotations and involvement in relevant molecular pathways. By constructing a Protein-Protein Interaction (PPI) network consisting of 26 nodes and 62 edges, we identified two gene modules. Subsequently, using the MCODE algorithm, we identified 6 hub genes-ATN1, JPH3, TBP, VPS13A, DMD, and HTT-as core candidates. These hub genes are primarily associated with processes such as neuron development and differentiation, the CAMKK-AMPK signaling cascade, ion transmembrane transport systems, and protein localization. Furthermore, using drug gene databank we identified 23 FDA-approved drugs that possess the propensity to target 3 out of the 6 identified hub genes. We believe that our findings could open promising avenues for potential therapeutic interventions in ChAc.

Indexed as

Computational BiologyNeuroacanthocytosisProtein Interaction MapsGene OntologyGene Regulatory NetworksHumansSignal TransductionVesicular Transport ProteinsVesicular Transport ProteinsVPS13A protein, human

Identifiers

PMID39292690
PMCPMC11410245

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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.