Plasma microRNAs as potential biomarkers in early Alzheimer disease expression

Carmen Peña-Bautista1, Adrián Tarazona-Sánchez1, Aitana Braza-Boils2

  • 1Alzheimer Disease Research Group, Instituto de Investigación Sanitaria La Fe, Avda de Fernando Abril Martorell, 106, 46026, Valencia, Spain.

Scientific Reports
|September 16, 2022
PubMed

Insights

This study identifies three plasma microRNAs (miRNAs) as potential biomarkers for Alzheimer Disease (AD). Lower levels of miR-92a-3p and miR-486-5p, and higher levels of miR-29a-3p, show potential association with AD pathology.

Area of Science:

  • Neuroscience
  • Biomarker Discovery
  • Molecular Biology

Background:

  • Alzheimer Disease (AD) requires novel biomarkers for early diagnosis using minimally invasive samples.
  • MicroRNAs (miRNAs) are regulators of biological pathways and potential biomarkers for complex diseases like AD.

Purpose of the Study:

  • To investigate plasma miRNAs as potential biomarkers for Alzheimer Disease (AD).
  • To explore the role of specific miRNAs in AD pathology development.

Main Methods:

  • Plasma miRNA expression profiling using Next Generation Sequencing in participants with mild cognitive impairment due to AD (MCI-AD), preclinical AD, and healthy controls.
  • Validation of selected miRNAs using quantitative PCR (q-PCR).
  • Classification of participants based on cerebrospinal fluid (CSF) biomarkers and neuropsychological assessment.

Main Results:

  • A panel of 11 miRNAs was initially selected, with 8 validated by q-PCR.
  • Individually, the validated miRNAs did not show significant differences between groups.
  • A multivariate model indicated potential AD association for three miRNAs: lower miR-92a-3p and miR-486-5p, and higher miR-29a-3p levels in AD patients.

Conclusions:

  • Plasma miR-92a-3p, miR-486-5p, and miR-29a-3p show slight dysregulation in AD and may serve as potential biomarkers.
  • These miRNAs could be involved in regulating pathways crucial to AD pathogenesis.
  • Further large-scale studies are needed to validate these findings and elucidate their mechanisms.

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