Evidence map›Paper›PMID 41312257›Full record

ArticleAnnals of neurosciences2025

Identification of Ageing-related Hub Genes in Humans, Mouse and Rat Based on Bioinformatics Analysis.

Mona Chaurasiya, Gajendra Prasad

Abstract read
In one paragraph

Article in Annals of neurosciences, 2025. 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

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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

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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. 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.

Mona ChaurasiyaUniversity Department of Biotechnology, L.N. Mithila University, Darbhanga, Bihar, India.ORCID https://orcid.org/0009-0003-6961-8968
Gajendra PrasadUniversity Department of Botany, L.N. Mithila University, Darbhanga, Bihar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ageing is a natural process observed in all living organisms. It is a complex biological process involving many genes and pathways. As such, ageing in an organism is associated with an increased likelihood of developing various neurological diseases, for example, Alzheimer's disease (AD) and Parkinson's disease (PD). Purpose: Ageing is associated with many complex processes and functions that are highly interconnected. In this study, we identified pivotal nodes or hubs that significantly contribute to an ageing network, including those highly connected nodes within the network that are particularly important, using available bioinformatics tools in humans and other model organisms. Thus, mutating or altering any of these nodes in a network can result in significant changes in the overall functioning of an organism. Methods: For this study, the ageing genes of humans and mice were retrieved from the GenAge database, while the ageing genes of rats were retrieved from the Ageing & Age related Diseases present in Rat Genome Database. STRING (version 11.5), an online tool, was used to create the network. Cytoscape (version 3.10.0), an open-source software with an integrated tool called cytoHubba, was used to identify the hubs from the STRING network in humans, mice and rats. The online tool Enrichr was used to test the functional enrichment of hub genes in humans. Results: TP53, Trp53 and Actb were identified as important genes in the network, contributing significantly to the process of ageing in humans, mice and rats, respectively, along with others in the network. Conclusion: Identification of these hubs from the network of ageing and ageing-associated genes deserves further investigation to advance existing knowledge and to improve our understanding of ageing in humans and other model organisms.

Indexed as

Functiongeneticsmolecular structureneurology

Identifiers

PMID41312257
PMCPMC12646954

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