ArticleJournal of Alzheimer's disease : JAD2019
Validation of MicroRNA Biomarkers for Alzheimer's Disease in Human Cerebrospinal Fluid.
Article in Journal of Alzheimer's disease : JAD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.
- 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
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- SECmeres outperform extracellular vesicles as potential blood RNA biomarkers for Alzheimer's disease.Nature communications · 2026Article
- Dysregulation of Extracellular Vesicle Concentration, MicroRNAs, and Surface Proteins in Patients With Niemann-Pick Disease Type C.Journal of extracellular biology · 2026Article
- Plasma multi-miRNA models classify Alzheimer's, Parkinson's, and Lewy body dementia.Frontiers in aging neuroscience · 2026Article
- Quantification of EV-associated miRNA in liquid biopsies for biomarker signature development.Extracellular vesicles and circulating nucleic acids · 2026Review
- Comparison of multi-miRNA models from donor-matched plasma and cerebrospinal fluid as candidate biomarkers for Alzheimer's disease prediction.Scientific reports · 2025Article
- The miR-133b and miR-206 serum levels as a candidate biomarker in Alzheimer's patients with dyslipidemia.IBRO neuroscience reports · 2025Article
- MicroRNA Signatures Predict Brain Amyloidosis and Neurodegeneration in Alzheimer's Disease: Insights from [Brain and behavior · 2025Article
- Identification of novel microRNAs: Biomarkers for pathogenesis of hepatocellular carcinoma in mice model.Biochemistry and biophysics reports · 2025Article
- miR-423-5p and miR-92a-3p in Alzheimer's disease: relationship with pathology and cognition.Frontiers in aging neuroscience · 2025Article
- Serum microRNA Biomarker Expression in HIV and TB: A Concise Overview.Infectious disorders drug targets · 2025Review
- Insights into the Role of microRNAs as Clinical Tools for Diagnosis, Prognosis, and as Therapeutic Targets in Alzheimer's Disease.International journal of molecular sciences · 2024Review
- Analysis of the longitudinal stability of human plasma miRNAs and implications for disease biomarkers.Scientific reports · 2024Article
- DNI-MDCAP: improvement of causal MiRNA-disease association prediction based on deep network imputation.BMC bioinformatics · 2024Article
- MicroRNA biomarkers in leprosy: insights from the Northern Brazilian Amazon population and their implications in disease immune-physiopathology.Frontiers in genetics · 2024Article
- Noncoding RNAs in Alzheimer's Disease: Overview of Functional and Therapeutic Significance.Current topics in medicinal chemistry · 2024Review
- Recommendations for reproducibility of cerebrospinal fluid extracellular vesicle studies.Journal of extracellular vesicles · 2024Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
We previously discovered microRNAs (miRNAs) in cerebrospinal fluid (CSF) that differentiate Alzheimer's disease (AD) patients from Controls. Here we examined the performance of 37 candidate AD miRNA biomarkers in a new and independent cohort of CSF from 47 AD patients and 71 Controls on custom TaqMan arrays. We employed a consensus ranking approach to provide an overall priority score for each miRNA, then used multimarker models to assess the relative contributions of the top-ranking miRNAs to differentiate AD from Controls. We assessed classification performance of the top-ranking miRNAs when combined with apolipoprotein E4 (APOE4) genotype status or CSF amyloid-β42 (Aβ42):total tau (T-tau) measures. We also assessed whether miRNAs that ranked higher as AD markers correlate with Mini-Mental State Examination (MMSE) scores. We show that of 37 miRNAs brought forth from the discovery study, 26 miRNAs remained viable as candidate biomarkers for AD in the validation study. We found that combinations of 6-7 miRNAs work better to identify AD than subsets of fewer miRNAs. Of 26 miRNAs that contribute most to the multimarker models, 14 have higher potential than the others to predict AD. Addition of these 14 miRNAs to APOE4 status or CSF Aβ42:T-tau measures significantly improved classification performance for AD. We further show that individual miRNAs that ranked higher as AD markers correlate more strongly with changes in MMSE scores. Our studies validate that a set of CSF miRNAs serve as biomarkers for AD, and support their advancement toward development as biomarkers in the clinical setting.
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Registered trials
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.