MicroRNA expression in extracellular vesicles as a novel blood-based biomarker for Alzheimer's disease

Ashish Kumar1, Yixin Su1, Mitu Sharma1

  • 1Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.

Abstract

Insights

Blood-based small extracellular vesicles (sEVs) carrying microRNAs (miRNAs) show promise for Alzheimer's disease (AD) detection. These brain cell-derived sEVs accurately distinguish dementia status and correlate with brain structure changes.

Area of Science:

  • Neuroscience
  • Biochemistry
  • Genetics

Background:

  • Alzheimer's disease (AD) diagnosis relies on clinical assessment and costly imaging/fluid biomarkers.
  • Small extracellular vesicles (sEVs) derived from brain cells circulate in blood, offering potential insights into neurological conditions.
  • Specific microRNAs (miRNAs) within sEVs may reflect brain cell activity and disease states.

Purpose of the Study:

  • To investigate the diagnostic potential of miRNAs within specific brain cell-derived sEV subtypes isolated from blood for Alzheimer's disease.
  • To correlate miRNA expression in sEVs with cognitive status and brain structure in older adults.

Main Methods:

  • Simultaneous enrichment of six brain cell-derived sEV subtypes (neuronal, astrocyte, microglia, oligodendrocyte, pericyte, endothelial) from plasma.
  • Analysis of specific miRNA expression profiles within these enriched sEV subtypes.
  • Comparison of miRNA expression between cognitively normal individuals and those with mild cognitive impairment (MCI) or AD dementia.

Main Results:

  • Differential miRNA expression in sEV subtypes effectively distinguished between normal cognition, MCI, MCI-to-AD conversion, and AD dementia (AUC > 0.90).
  • Plasma sEV miRNA levels correlated with temporal cortical thickness measured by MRI.
  • Specific miRNA alterations in endothelial and pericyte-derived sEVs suggested vascular dysfunction.

Conclusions:

  • Plasma-derived, brain cell-specific sEV miRNAs represent a novel, highly sensitive, and specific blood-based biomarker for Alzheimer's disease.
  • sEV miRNA profiles can reflect disease progression and correlate with neuroimaging findings.
  • This approach may offer a non-invasive method for early AD detection and monitoring.