MicroRNA Expression Signature in Mild Cognitive Impairment Due to Alzheimer's Disease

Bruna De Felice1, Concetta Montanino2, Mariano Oliva3

  • 1Department of Environmental, Biological and Pharmaceutical Sciences and Technologies (DISTABIF), University of Campania "Luigi Vanvitelli", Via Vivaldi 43, 81100, Caserta, Italy. bruna.defelice@unicampania.it.

Molecular Neurobiology
|August 2, 2020
PubMed

Insights

Researchers identified specific microRNAs (miRNAs) in blood and cerebrospinal fluid that are dysregulated in individuals with mild cognitive impairment progressing to Alzheimer's disease (MCI-AD). These miRNA profiles may serve as potential biomarkers for early AD detection.

Area of Science:

  • Neuroscience
  • Molecular Biology
  • Genetics

Background:

  • Mild cognitive impairment (MCI) represents a transitional stage between normal aging and dementia, including Alzheimer's disease (AD).
  • Early identification of MCI patients who will progress to AD (MCI-AD) is critical for developing timely therapeutic interventions.
  • MicroRNAs (miRNAs) are increasingly implicated in the pathogenesis of AD, with specific miRNA-disease associations under investigation.

Purpose of the Study:

  • To analyze the microRNA transcriptome composition in biological samples from MCI-AD subjects.
  • To identify specific miRNAs dysregulated in MCI-AD patients compared to controls.
  • To explore the potential of these miRNAs as biomarkers for MCI-AD progression.

Main Methods:

  • Analysis of microRNA transcriptome in blood, serum, and cerebrospinal fluid (CSF) from MCI-AD subjects using an enriched small RNA library.
  • Real-time quantitative PCR (qPCR) to profile miRNA expression in MCI-AD patients, AD patients, and normal controls.
  • Target prediction analysis to identify messenger RNAs (mRNAs) regulated by dysregulated miRNAs.

Main Results:

  • Four miRNAs (hsa-mir-5588-5p, hsa-mir-3658, hsa-mir-567, and hsa-mir-3908) were found to be dysregulated in MCI-AD patients.
  • Hsa-mir-567 exhibited significant differential expression across CSF, blood, and serum samples from MCI-AD patients, with the highest fold change.
  • Target prediction indicated that hsa-mir-567 targets genes are functionally active in neuronal cells.

Conclusions:

  • The identified miRNA profiles in MCI-AD patients offer insights into AD-related cognitive decline.
  • Dysregulated miRNAs, particularly hsa-mir-567, show potential as diagnostic or prognostic biomarkers for MCI-AD progression to AD.
  • Further research into these miRNA signatures could facilitate the development of novel therapeutic strategies for AD.

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