PPAR Gamma Agonist Leriglitazone Recovers Alterations Due to Pank2-Deficiency in hiPS-Derived Astrocytes.
Paolo SantambrogioAnna CozziIvano Di MeoChiara CavestroCristina VergaraLaura Rodríguez-PascauMarc MartinellPilar PizcuetaValeria TirantiSonia LeviPublished in: Pharmaceutics (2023)
The novel brain-penetrant peroxisome proliferator-activated receptor gamma agonist leriglitazone, previously validated for other rare neurodegenerative diseases, is a small molecule that acts as a regulator of mitochondrial function and exerts neuroprotective, anti-oxidative and anti-inflammatory effects. Herein, we tested whether leriglitazone can be effective in ameliorating the mitochondrial defects that characterize an hiPS-derived model of Pantothenate kinase-2 associated Neurodegeneration (PKAN). PKAN is caused by a genetic alteration in the mitochondrial enzyme pantothenate kinase-2, whose function is to catalyze the first reaction of the CoA biosynthetic pathway, and for which no effective cure is available. The PKAN hiPS-derived astrocytes are characterized by mitochondrial dysfunction, cytosolic iron deposition, oxidative stress and neurotoxicity. We monitored the effect of leriglitazone in comparison with CoA on hiPS-derived astrocytes from three healthy subjects and three PKAN patients. The treatment with leriglitazone did not affect the differentiation of the neuronal precursor cells into astrocytes, and it improved the viability of PKAN cells and their respiratory activity, while diminishing the iron accumulation similarly or even better than CoA. The data suggest that leriglitazone is well tolerated in this cellular model and could be considered a beneficial therapeutic approach in the treatment of PKAN.
Keyphrases
- oxidative stress
- induced apoptosis
- small molecule
- cell cycle arrest
- newly diagnosed
- cerebral ischemia
- dna damage
- endoplasmic reticulum stress
- electronic health record
- prognostic factors
- genome wide
- cell death
- gene expression
- transcription factor
- type diabetes
- big data
- tyrosine kinase
- replacement therapy
- machine learning
- dna methylation
- patient reported outcomes
- adipose tissue
- ischemia reperfusion injury
- pi k akt
- protein kinase
- deep learning
- heat shock protein
- clinical evaluation