Literature DB >> 21358044

PPARγ co-activator-1α (PGC-1α) reduces amyloid-β generation through a PPARγ-dependent mechanism.

Loukia Katsouri1, Callum Parr, Nenad Bogdanovic, Michael Willem, Magdalena Sastre.   

Abstract

We have previously reported that the nuclear receptor peroxisome proliferator activated receptor-γ (PPARγ) regulates the transcription of β-secretase (BACE1), a key enzyme involved in amyloid-β (Aβ) generation. Here, we aimed to investigate the role of PPARγ coactivator-1α (PGC-1α), which controls major metabolic functions through the co-activation of PPARγ and other transcription factors. Western blotting experiments with nuclear extracts from brain cortex of AD cases and controls showed a reduction in the levels of PGC-1α in AD patients. PGC-1α overexpression in N2a neuroblastoma cells induced a decrease in the levels of secreted Aβ and an increase in the levels of non-amyloidogenic soluble AβPPα. The decrease in Aβ after exogenous expression of PGC-1α was a consequence of reduced BACE1 expression and transcription, together with a decrease in BACE1 promoter activity. In addition, we detected a significant reduction in β-secretase activity by measuring the levels of β-carboxy terminus fragment (β-CTFs) and by using a commercial assay for β-secretase. In contrast, down-regulation of PGC-1α levels by transfection with PGC-1α siRNA increased BACE1 expression. These effects appeared to be dependent on PPARγ, because PGC-1α did not affect Aβ and BACE1 levels in N2a cells transfected with PPARγ siRNA or in PPARγ knockout fibroblasts. In conclusion, since PGC-1α appears to decrease Aβ generation, therapeutic modulation of PGC-1α could have real potential as a treatment for AD.

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Year:  2011        PMID: 21358044     DOI: 10.3233/JAD-2011-101356

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  49 in total

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5.  PPARγ-coactivator-1α gene transfer reduces neuronal loss and amyloid-β generation by reducing β-secretase in an Alzheimer's disease model.

Authors:  Loukia Katsouri; Yau M Lim; Katrin Blondrath; Ioanna Eleftheriadou; Laura Lombardero; Amy M Birch; Nazanin Mirzaei; Elaine E Irvine; Nicholas D Mazarakis; Magdalena Sastre
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