ArticleEXCLI journal2022
Plasma lncRNA profiling identified BC200 and NEAT1 lncRNAs as potential blood-based biomarkers for late-onset Alzheimer's disease.
Article in EXCLI journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Non-coding RNAs and Mitochondrial Dysfunction in Alzheimer's Disease: A Systematic Review.Molecular neurobiology · 2026Pooled it
- The Association and Prognostic Implications of Long Non-Coding RNAs in Major Psychiatric Disorders, Alzheimer's Diseases and Parkinson's Diseases: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Circulating long non-coding RNAs as novel diagnostic biomarkers for Alzheimer's disease (AD): A systematic review and meta-analysis.PloS one · 2023Pooled it
- lncRNAs: key player in Aβ deposition.RNA biology · 2026Review
- Long Non-Coding RNA PART1 in Alzheimer's Disease: Clinical Value and Improvement of Neurotoxicity and Apoptosis via miR-770-5p.Neurochemical research · 2026Article
- Epithelial-mesenchymal transition and its role in drug resistance of cervical cancer.Molecular biology reports · 2026Review
- Role of LncRNA NEAT1 in Alzheimer's Disease: Pathophysiological Insights and Therapeutic Approaches.Neurotoxicity research · 2026Review
- Mitochondrial dysfunction and programmed cell death in Alzheimer's disease: A retrospective bioinformatics study.Medicine · 2026Article
- Value of lncRNA LINC00641 as a Potential Biomarker for Diagnosis of Alzheimer's Disease and Elucidation of its Underlying Molecular Mechanism.Journal of molecular neuroscience : MN · 2026Article
- The Expanding Role of Non-Coding RNAs in Neurodegenerative Diseases: From Biomarkers to Therapeutic Targets.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Role of ncRNAs in Neurological Disorders and Cardiovascular Diseases.Experientia supplementum (2012) · 2026Review
- Comparison of long non-coding RNA NEAT1 expression, P53, and anti-oxidant factors between Alzheimer's patients and healthy individuals.Iranian journal of basic medical sciences · 2026Article
- Long Non-Coding RNAs: Crucial Regulators in Alzheimer's Disease Pathogenesis and Prospects for Precision Medicine.Molecular neurobiology · 2025Review
- Noncoding RNAs and their influence on maternal mental health: insights into perinatal depression: a review.Molecular biology reports · 2025Review
- Untangling the Genetic Threads of Alzheimer's: Insights into Risk Factors and Biomarkers.Current gene therapy · 2025Review
- Biofluid biomarkers for Alzheimer's disease: past, present, and future.Medical review (2021) · 2024Review
- Blood-Based Biomarkers in Alzheimer's Disease: Advancing Non-Invasive Diagnostics and Prognostics.International journal of molecular sciences · 2024Review
- The roles of long non-coding RNAs in Alzheimer's disease diagnosis, treatment, and their involvement in Alzheimer's disease immune responses.Non-coding RNA research · 2024Review
- The Association between Long Non-Coding RNAs and Alzheimer's Disease.Brain sciences · 2024Review
- Article
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
Long non-coding RNAs (lncRNA) play critical roles in pathogenesis of neurodegenerative diseases. Human plasma carries lncRNAs that are stable in the blood, and their disease-specific profile have made them valuable biomarkers for some diseases. This study reports screening of the plasma levels of 90 lncRNAs in patients with Alzheimer disease (AD) to find out plasma-based AD biomarkers. Total RNA was isolated from plasma samples of 50 AD and 50 matched healthy controls. The plasma samples of 10 advanced AD patients and 10 matched healthy controls were screened for expression levels of 90 lncRNAs using Human LncRNA Profiler qPCR Array Kit (SBI). Based on the profiling results, lncRNAs BC200, NDM29, NEAT1, FAS-AS1 and GAS5-AS1 were selected for further analysis in all samples and their biomarker potency was evaluated by ROC curve analysis. We further surveyed RNAseq data by
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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.