Mesenchymal Stem Cells from Familial Alzheimer's Patients Express MicroRNA Differently

Int J Mol Sci. 2024 Jan 27;25(3):1580. doi: 10.3390/ijms25031580.

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the predominant form of dementia globally. No reliable diagnostic, predictive techniques, or curative interventions are available. MicroRNAs (miRNAs) are vital to controlling gene expression, making them valuable biomarkers for diagnosis and prognosis. This study examines the transcriptome of olfactory ecto-mesenchymal stem cells (MSCs) derived from individuals with the PSEN1(A431E) mutation (Jalisco mutation). The aim is to determine whether this mutation affects the transcriptome and expression profile of miRNAs and their target genes at different stages of asymptomatic, presymptomatic, and symptomatic conditions. Expression microarrays compare the MSCs from mutation carriers with those from healthy donors. The results indicate a distinct variation in the expression of miRNAs and mRNAs among different symptomatologic groups and between individuals with the mutation. Using bioinformatics tools allows us to identify target genes for miRNAs, which in turn affect various biological processes and pathways. These include the cell cycle, senescence, transcription, and pathways involved in regulating the pluripotency of stem cells. These processes are closely linked to inter- and intracellular communication, vital for cellular functioning. These findings can enhance our comprehension and monitoring of the disease's physiological processes, identify new disorder indicators, and develop innovative treatments and diagnostic tools for preventing or treating AD.

Keywords: A431E; Alzheimer’s disease; Jalisco mutation; PSEN1; biomarkers; epigenetics; familial Alzheimer’s disease; mesenchymal stem cells; miRNA; olfactory; transcriptome.

MeSH terms

  • Alzheimer Disease* / metabolism
  • Biomarkers / metabolism
  • Humans
  • Mesenchymal Stem Cells* / metabolism
  • MicroRNAs* / genetics
  • MicroRNAs* / metabolism
  • Mutation

Substances

  • MicroRNAs
  • Biomarkers