Evidence map›Paper›PMID 41386880›Full record

ArticleJournal, genetic engineering & biotechnology2025

Integrative analysis of transcriptomics and drug-target networks identifies SMN1 as a novel biomarker and therapeutic target for amyotrophic lateral sclerosis.

Deboral Eshak, Mohanapriya Arumugam

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2025. 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

2 authors.

Deboral EshakDepartment of Biotechnology, School of Bioscience and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India.
Mohanapriya ArumugamDepartment of Biotechnology, School of Bioscience and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu 632014, India. Electronic address: mohanapriyaa@vit.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a prevalent and debilitating neurodegenerative disorder characterized by the selective degeneration of motor neurons. This study aims to unravel the molecular mechanisms underlying ALS through an integrated analysis of drug-target networks and gene expression data. Gene expression datasets related to ALS, including GSE115130 and GSE76220, were retrieved from the GEO database and systematically analyzed. Differential gene expression (DEG) analysis identified key upregulated and downregulated genes, while weighted gene co-expression network analysis (WGCNA) uncovered gene modules associated with ALS pathology. DEG analysis revealed genetic insights into ALS by pinpointing genes potentially involved in disease development and progression. WGCNA provided a systems-level understanding of ALS mechanisms, identifying highly correlated gene clusters and their relationship with clinical ALS characteristics. In the GSE115130 dataset, 6,105 genes were upregulated and 6,069 were downregulated. Conversely, the GSE76220 dataset showed 4,850 upregulated genes and 7,691 downregulated genes. Using the STRING database, a protein-protein interaction (PPI) network was constructed to investigate the functional relationships among ALS-associated genes. The findings highlighted the significant role of the survival motor neuron 1 (SMN1) gene in ALS, particularly in sporadic cases. Additionally, drug-target network mapping identified potential therapeutic targets and candidate drugs, offering valuable insights into the molecular mechanisms of ALS and possible interventions. This integrative approach underscored SMN1 as a novel diagnostic biomarker and potential therapeutic target for ALS, emphasizing its critical role in disease pathogenesis. These findings pave the way for further mechanistic studies and clinical validation, aiming to enhance therapeutic strategies for ALS.

Indexed as

Amyotrophic lateral sclerosis (ALS)Drug-Target NetworkGene Expression AnalysisSMN1 BiomarkerWeighted Gene Co-expression Network Analysis (WGCNA)

Identifiers

PMID41386880
PMCPMC12721162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.