Mitochondrial Dysfunction in Dopaminergic Neurons Derived from Patients with LRRK2- and SNCA-Associated Genetic Forms

Anna S Vetchinova1, Marina R Kapkaeva1, Mikhail V Ivanov2

  • 1Laboratory of Neurobiology and Tissue Engineering, Brain Science Institute, Research Center of Neurology, Moscow 125367, Russia.

PubMed

Insights

Genetic mutations in LRRK2 and SNCA genes are linked to Parkinson's disease (PD). Mitochondrial gene activity and structure are altered in PD patient-derived cells, offering potential biomarkers for early diagnosis.

Area of Science:

  • Neuroscience
  • Genetics
  • Cell Biology

Background:

  • Parkinson's disease (PD) is a prevalent neurodegenerative disorder with genetic links, particularly mutations in LRRK2 and SNCA genes.
  • Early diagnosis of PD is crucial for developing effective neuroprotective strategies, highlighting the need for reliable biomarkers.
  • Induced pluripotent stem cell (iPSC) technology offers a powerful platform for modeling PD and discovering novel biomarkers in vitro.

Purpose of the Study:

  • To investigate mitochondrial gene expression and ultrastructural changes in iPSC-derived dopaminergic neurons from patients with LRRK2- and SNCA-associated Parkinson's disease.
  • To identify potential mitochondrial biomarkers for early diagnosis and prognosis of Parkinson's disease.

Main Methods:

  • Utilized multiplex gene expression profiling with barcoding on the Nanostring platform to analyze 105 mitochondrial proteome genes.
  • Employed electron microscopy to examine ultrastructural mitochondrial morphology in patient-derived iPSC cultures.
  • Compared gene activity and mitochondrial morphology between iPSC-derived neurons from PD patients (LRRK2 and SNCA mutations) and healthy donors.

Main Results:

  • Electron microscopy revealed ultrastructural mitochondrial abnormalities in both LRRK2 and SNCA mutant cells compared to healthy controls.
  • SNCA-mutant cells showed a significantly reduced ratio of mitochondrial area to total cytoplasm area.
  • Nanostring analysis identified differential gene expression in pathways including respiratory complexes, ATP production, mitochondria-endoplasmic reticulum interactions, mitophagy, calcium regulation, and mitochondrial DNA replication.

Conclusions:

  • Mitochondrial dysfunction is a key feature in genetic forms of Parkinson's disease, evident at both the ultrastructural and gene expression levels.
  • Altered mitochondrial gene activity in iPSC-derived neurons represents a promising avenue for identifying diagnostic and prognostic biomarkers for Parkinson's disease.
  • This study underscores the potential of iPSC technology combined with advanced profiling techniques for understanding PD pathogenesis and biomarker discovery.

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