BrainNeurosciencePeer-reviewed journal article
Regulation of mitophagy by the NSL complex underlies genetic risk for Parkinson's disease at Chr16q11.2 and on the MAPT H1 allele
Marc P. M. SoutariD, Daniela MelandriiD, Benjamin J. O’CallaghaniD, Emily AnnuarioiD, Amy E. MonaghaniD, Natalie J. WelshiD, Karishma D’SaiD, Sebastian GuelfiiD, David ZhangiD, Alan Michael PittmaniD, Daniah TrabzuniiD, Anouk H. A. VerboveniD, Kylie S. PaniD, Demis A. Kia, Magda BictashiD, Sonia GandhiiD, Henry HouldeniD, Mark CooksoniD, Nael Nadif KasriiD, Nicholas W WoodiD, Andrew SingletoniD, John HardyiD, Paul John WhitingiD, Cornelis BlauwendraatiD, Alexander J. WhitworthiD, , Hélène Plun‐FavreauiD
Abstract
Parkinsons disease (PD) is a common incurable neurodegenerative disease. The identification of genetic variants via genome-wide association studies (GWAS) has considerably advanced our understanding of the PD genetic risk. Understanding the functional significance of the risk loci is now a critical step towards translating these genetic advances into an enhanced biological understanding of the disease. Impaired mitophagy is a key causative pathway in familial PD, but its relevance to idiopathic PD is unclear. We used a mitophagy screening assay to evaluate the functional significance of risk genes identified through GWAS. We identified two new regulators of PINK1-mitophagy, KAT8 and KANSL1, previously shown to modulate lysine acetylation. We show that KAT8 and KANSL1 modulate PINK1 gene expression and subsequent PINK1-mitophagy. These findings suggest PINK1-mitophagy is a contributing factor to idiopathic PD. KANSL1 is located on chromosome 17q21 where the risk associated gene has long been considered to be MAPT. While our data does not exclude a possible association between the MAPT gene and PD, it provides strong evidence that KANSL1 plays a crucial role in the disease. Finally, these results enrich our understanding of physiological events regulating mitophagy and establish a novel pathway for drug targeting in neurodegeneration.
- organism: human
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 60
- FWCI
- 6.45
- Field percentile
- top 2%
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