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Updated: Jul 9, 2026

Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR
Published on: January 22, 2014
Identification and evaluation of potential microRNA markers for diagnostics in neurodegenerative diseases and
Richard Novobilský1,2, Pavlína Kušnierová3,4, Dominik Štěpán3
1Clinic of Neurology, University Hospital Ostrava, Ostrava, Czech Republic.
Objectives:
MicroRNAs (miRNA) are short, non-coding RNA molecules that play a crucial role in the development of organisms and are involved in various biological processes. They are considered potential biomarkers for many diseases, including neurodegenerative diseases. This study aimed to identify a set of microRNA targets that exhibited the greatest potential in successfully distinguishing and differentiating neurodegenerative diseases and to establish a correlation between selected miRNAs across different diagnostic groups.
Methods:
The study included the analysis of 126 patients. The patients were divided into five diagnostic groups - Alzheimer's disease, non-Alzheimer's dementia, Movement disorder, Dementia and movement disorder, and Healthy controls. The circulating RNA was isolated using the iCatcher Circulating cfRNA 1000 Kit with the iCatcher 12 automated isolator. The determination of microRNA was performed by TT-qPCR in the CFX96™ Real-Time Detection System. The concentrations of the remaining biomarkers were determined by ELISA. The statistical data were processed using MS Excel and MedCalc® software.
Results:
The following miRNAs were studied based on the primary screen for identification of potential microRNA targets and published literature data:hsa-miR-23a-3p, hsa-miR-29c-3p, hsa-miR-30b-5p, hsa-miR-142a-5p, hsa-miR-146a-5p, hsa-miR-151a-3p.A statistically significant correlation was identified between hsa-miR-29c-3p and hsa-miR-30b-5p, hsa-miR-30b-5p and hsa-miR-151a-3p, hsa-miR-23a-3p and hsa-miR-29c-3p, hsa-miR-23a-3p and hsa-miR-151a-3p, between hsa-miR23a-3p and hsa-miR-30b-5p, between hsa-miR-142a-5p and hsa-miR-146a-5p, hsa-miR-142a-5p and hsa-miR-151a-3p as well as between hsa-miR-146a-5p and hsa-miR-151a-3p.Significant differences were observed in hsa-miR-23a-3p and hsa-miR-29c-3p among different diagnostic groups. Compared to classical biomarkers of dementia, significant correlations were observed between plasmatic amyloid-β peptide 42 and hsa-miR-29c-3p, hsa-miR-142a-5p, hsa-miR-146a-5p, hsa-miR-151a-3p. Similar correlations were also found with the plasmatic amyloid-β peptide ratio of 42/40.
Conclusions:
The most promising microRNAs for differentiating among neurodegenerative diseases are hsa-miR-23a-3p and hsa-miR-29c-3p. Additionally, there is a correlation between hsa-miR-29c-3p and amyloid-β peptide and the ratio of amyloid-β peptide 42/40.While more robust studies are necessary, there could be a potential for utilizing this miRNA as a therapeutic agent in the future.
Insights
MicroRNAs (miRNAs) show promise in distinguishing neurodegenerative diseases. Specifically, hsa-miR-23a-3p and hsa-miR-29c-3p correlate with disease status and amyloid-beta peptide levels.
Area of Science:
- Biochemistry
- Molecular Biology
- Neuroscience
Background:
- MicroRNAs (miRNAs) are key regulators of gene expression, implicated in various biological processes.
- miRNAs are emerging as potential biomarkers for diagnosing and differentiating complex diseases, including neurodegenerative disorders.
- Identifying specific miRNAs can aid in understanding disease mechanisms and developing targeted therapies.
Purpose of the Study:
- To identify microRNA (miRNA) targets with high potential for distinguishing between different neurodegenerative diseases.
- To investigate correlations between selected miRNAs and established biomarkers in patient cohorts.
- To explore the diagnostic and potential therapeutic value of specific miRNAs in neurodegenerative conditions.
Main Methods:
- Analysis of 126 patients across five groups: Alzheimer's disease, non-Alzheimer's dementia, Movement disorder, Dementia and movement disorder, and Healthy controls.
- Isolation of circulating RNA using the iCatcher Circulating cfRNA 1000 Kit and automated isolator.
- Quantification of microRNAs via TT-qPCR and other biomarkers by ELISA, with statistical analysis using MS Excel and MedCalc® software.
Main Results:
- Six miRNAs (hsa-miR-23a-3p, hsa-miR-29c-3p, hsa-miR-30b-5p, hsa-miR-142a-5p, hsa-miR-146a-5p, hsa-miR-151a-3p) were analyzed.
- Significant correlations were found between several miRNA pairs, including hsa-miR-29c-3p and hsa-miR-30b-5p.
- hsa-miR-23a-3p and hsa-miR-29c-3p showed significant differences across diagnostic groups, correlating with amyloid-beta peptide 42 and its ratio.
Conclusions:
- hsa-miR-23a-3p and hsa-miR-29c-3p are the most promising miRNAs for differentiating neurodegenerative diseases.
- A correlation exists between hsa-miR-29c-3p, amyloid-beta peptide, and the Aβ42/40 ratio, suggesting diagnostic utility.
- Further research may unlock the potential of these miRNAs as therapeutic agents for neurodegenerative conditions.
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