Nanotransfection-based vasculogenic cell reprogramming drives functional recovery in a mouse model of ischemic stroke.
Luke R LemmermanMaria H H BalchJordan T MooreDiego Alzate-CorreaMaria A Rincon-BenavidesAna Salazar-PuertaSurya GnyawaliHallie N HarrisWilliam R LawrenceLilibeth Ortega-PinedaLauren WilchIan B RisserAidan J MaxwellSilvia Duarte-SanmiguelDaniel J DoddGina P Guio-VegaDana M McTigueW David ArnoldShahid M NimjeeChandan K SenSavita KhannaCameron RinkNatalia Higuita-CastroDaniel Gallego PerezPublished in: Science advances (2021)
Ischemic stroke causes vascular and neuronal tissue deficiencies that could lead to substantial functional impairment and/or death. Although progenitor-based vasculogenic cell therapies have shown promise as a potential rescue strategy following ischemic stroke, current approaches face major hurdles. Here, we used fibroblasts nanotransfected with Etv2, Foxc2, and Fli1 (EFF) to drive reprogramming-based vasculogenesis, intracranially, as a potential therapy for ischemic stroke. Perfusion analyses suggest that intracranial delivery of EFF-nanotransfected fibroblasts led to a dose-dependent increase in perfusion 14 days after injection. MRI and behavioral tests revealed ~70% infarct resolution and up to ~90% motor recovery for mice treated with EFF-nanotransfected fibroblasts. Immunohistological analysis confirmed increases in vascularity and neuronal cellularity, as well as reduced glial scar formation in response to treatment with EFF-nanotransfected fibroblasts. Together, our results suggest that vasculogenic cell therapies based on nanotransfection-driven (i.e., nonviral) cellular reprogramming represent a promising strategy for the treatment of ischemic stroke.
Keyphrases
- single cell
- atrial fibrillation
- mouse model
- cell therapy
- extracellular matrix
- magnetic resonance imaging
- acute lymphoblastic leukemia
- heart failure
- risk assessment
- coronary artery disease
- magnetic resonance
- mesenchymal stem cells
- skeletal muscle
- adipose tissue
- acute myocardial infarction
- big data
- human health
- metabolic syndrome
- neuropathic pain
- artificial intelligence
- cell fate