ArticleCommunications biology2019
Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data.
Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.
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Who cites it
40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 60 citations in OpenAlex.
- Rethinking Alzheimer's: novel miRNAs illuminate a disease beyond the brain.Molecular psychiatry · 2026Pooled it
- Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer's disease created by integrative analysis of multi-omics data.Alzheimer's research & therapy · 2020Pooled it
- Identification of potential blood biomarkers for early diagnosis of Alzheimer's disease through RNA sequencing analysis.Alzheimer's research & therapy · 2020Pooled it
- Discovering non-linear dynamics of miRNAs in Alzheimer's disease-related cognitive impairment: a cross-species approach with explainable machine learning.Biology direct · 2026Article
- Literature-derived serum miRNA signatures associated with cognitive decline in Alzheimer's disease: integrated analysis and machine learning-based diagnostic modeling.Alzheimer's research & therapy · 2026Article
- miRBiT: a rules-based single-sample serum miRNA classifier for pan-cancer detection with multi-cohort validation.Briefings in bioinformatics · 2026Article
- Plasma multi-miRNA models classify Alzheimer's, Parkinson's, and Lewy body dementia.Frontiers in aging neuroscience · 2026Article
- The Role of miRNAs in the Differential Diagnosis of Alzheimer's Disease and Major Depression: A Bioinformatics-Based Approach.International journal of molecular sciences · 2025Article
- MicroRNA in neuroexosome as a potential biomarker for HIV-associated neurocognitive disorders.Journal of neurovirology · 2025Article
- Development of an AI-Based Predictive Algorithm for Early Diagnosis of High-Risk Dementia Groups among the Elderly: Utilizing Health Lifelog Data.Healthcare (Basel, Switzerland) · 2024Article
- Comparing preprocessing strategies for 3D-Gene microarray data of extracellular vesicle-derived miRNAs.BMC bioinformatics · 2024Article
- Enhanced analysis of tabular data through Multi-representation DeepInsight.Scientific reports · 2024Article
- Unveiling the Complex Role of Exosomes in Alzheimer's Disease.Journal of inflammation research · 2024Review
- Detection of APP gene recombinant in human blood plasma.Scientific reports · 2023Article
- Molecular biomarkers for vascular cognitive impairment and dementia.Nature reviews. Neurology · 2023Review
- Systematic analysis of transcriptome signature for improving outcomes in lung adenocarcinoma.Journal of cancer research and clinical oncology · 2023Article
- A new perspective on Alzheimer's disease: microRNAs and circular RNAs.Frontiers in genetics · 2023Review
- Identification of potential blood biomarkers for early diagnosis of Alzheimer's disease through immune landscape analysis.npj aging · 2022Article
- Research on nonstroke dementia screening and cognitive function prediction model for older people based on brain atrophy characteristics.Brain and behavior · 2022Article
- Assessment of Pediatric Cancer and Its Relationship to Environmental Contaminants: An Ecological Study in Idaho.GeoHealth · 2022Article
Corrections and comments
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Authors and funding
14 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alzheimer's disease (AD) is the most common subtype of dementia, followed by Vascular Dementia (VaD), and Dementia with Lewy Bodies (DLB). Recently, microRNAs (miRNAs) have received a lot of attention as the novel biomarkers for dementia. Here, using serum miRNA expression of 1,601 Japanese individuals, we investigated potential miRNA biomarkers and constructed risk prediction models, based on a supervised principal component analysis (PCA) logistic regression method, according to the subtype of dementia. The final risk prediction model achieved a high accuracy of 0.873 on a validation cohort in AD, when using 78 miRNAs: Accuracy = 0.836 with 86 miRNAs in VaD; Accuracy = 0.825 with 110 miRNAs in DLB. To our knowledge, this is the first report applying miRNA-based risk prediction models to a dementia prospective cohort. Our study demonstrates our models to be effective in prospective disease risk prediction, and with further improvement may contribute to practical clinical use in dementia.
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