ArticleExperimental biology and medicine (Maywood, N.J.)2024
Whole blood transcriptome profile identifies motor neurone disease RNA biomarker signatures.
Article in Experimental biology and medicine (Maywood, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Depression comorbidity in children and adolescents with type 2 diabetes mellitus: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Anesthetic Management and Perioperative Outcome of Emergency Laparotomy in a Patient With Advanced Motor Neurone Disease: A Case Report.Clinical case reports · 2026Article
- Cross-disease LC-MS/MS plasma proteomics identifies reproducible shared and disease-enriched biomarker signatures in neurodegenerative disorders.Acta neuropathologica communications · 2026Article
- A whole-transcriptome analysis of differentially expressed genes, transcripts, and transcript usage in blood samples from Parkinson's disease patients.Experimental biology and medicine (Maywood, N.J.) · 2026Article
- Peripheral blood mononuclear cell DNA methylation biomarkers for prognostic stratification in Chinese lung adenocarcinoma: a genome-wide epigenetic profiling study.Clinical epigenetics · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
Blood-based biomarkers for motor neuron disease are needed for better diagnosis, progression prediction, and clinical trial monitoring. We used whole blood-derived total RNA and performed whole transcriptome analysis to compare the gene expression profiles in (motor neurone disease) MND patients to the control subjects. We compared 42 MND patients to 42 aged and sex-matched healthy controls and described the whole transcriptome profile characteristic for MND. In addition to the formal differential analysis, we performed functional annotation of the genomics data and identified the molecular pathways that are differentially regulated in MND patients. We identified 12,972 genes differentially expressed in the blood of MND patients compared to age and sex-matched controls. Functional genomic annotation identified activation of the pathways related to neurodegeneration, RNA transcription, RNA splicing and extracellular matrix reorganisation. Blood-based whole transcriptomic analysis can reliably differentiate MND patients from controls and can provide useful information for the clinical management of the disease and clinical trials.
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