ArticleScientific reports2023
miRNA profiling as a complementary diagnostic tool for amyotrophic lateral sclerosis.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- MicroRNAs in the pathogenesis of neurodegenerative disorders: Potential as therapeutic targets.Neural regeneration research · 2026Article
- miRNAs in Amyotrophic Lateral Sclerosis: Tiny Molecules, Tremendous Impact.Molecular neurobiology · 2026Review
- Association of Reduced Brain Metabolism With Motor Function and Survival in Amyotrophic Lateral Sclerosis Patients With Neurofilament Heavy (NEFH) Gene Mutation.European journal of neurology · 2025Article
- Selective diagnostics of Amyotrophic Lateral Sclerosis, Alzheimer's and Parkinson's Diseases with machine learning and miRNA.Metabolic brain disease · 2025Article
- Exosomal microRNA signatures in youth at clinical high risk for bipolar disorder.Frontiers in psychiatry · 2025Article
- Expression Changes of miRNAs in Humans and Animal Models of Amyotrophic Lateral Sclerosis and Their Potential Application for Clinical Diagnosis.Life (Basel, Switzerland) · 2024Review
- Sporadic Amyotrophic Lateral Sclerosis Skeletal Muscle Transcriptome Analysis: A Comprehensive Examination of Differentially Expressed Genes.Biomolecules · 2024Review
- A microRNA diagnostic biomarker for amyotrophic lateral sclerosis.Brain communications · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amyotrophic lateral sclerosis (ALS), the most prevalent motor neuron disease characterized by its complex genetic structure, lacks a single diagnostic test capable of providing a conclusive diagnosis. In order to demonstrate the potential for genetic diagnosis and shed light on the pathogenic role of miRNAs in ALS, we developed an ALS diagnostic rule by training the model using 80% of a miRNA profiling dataset consisting of 253 ALS samples and 103 control samples. Subsequently, we validated the diagnostic rule using the remaining 20% of unseen samples. The diagnostic rule we developed includes miR-205-5p, miR-206, miR-376a-5p, miR-412-5p, miR-3927-3p, miR-4701-3p, miR-6763-5p, and miR-6801-3p. Remarkably, the rule achieved an 82% true positive rate and a 73% true negative rate when predicting the unseen samples. Furthermore, the identified miRNAs target 21 genes in the PI3K-Akt pathway and 27 genes in the ALS pathway, including notable genes such as BCL2, NEFH, and OPTN. We propose that miRNA profiling may serve as a complementary diagnostic tool to supplement the clinical presentation and aid in the early recognition of ALS.
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Registered trials
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