Abstract
The identification of Alzheimer’s disease (AD)–associated genomic variants has provided powerful insight into disease etiology. Genome-wide association studies (GWASs) of AD have successfully identified previously unidentified targets but have almost exclusively used additive genetic models. Here, we performed a family-based GWAS of a recessive inheritance model using whole-genome sequencing from families affected by AD. We found an association between AD risk and the variant rs7161410, which is located in an intron of the PRKCH gene encoding protein kinase C eta (PKCη). In addition, a rare PRKCH missense mutation, K65R, was in linkage disequilibrium with rs7161410 and was present in homozygous carriers of the rs7161410 risk allele. In vitro analysis revealed that the catalytic rate, lipid dependence, and peptide substrate binding of the purified variant were indistinguishable from those of the wild-type kinase. However, cellular studies revealed that the K65R PKCη variant had reduced cytosolic activity and, instead, enhanced localization and signaling at the Golgi. Moreover, the K65R variant had altered interaction networks in transfected cells, particularly with proteins involved in Golgi processes such as vesicle transport. In human brain tissue, the AD-associated recessive genotype of rs7161410 was associated with increased expression of PRKCH, particularly in the amygdala. This association of aberrant PKCη signaling with AD and the insight into how its function is altered may lead to previously unidentified therapeutic targets for prevention and treatment.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | eadv0970 |
| Zeitschrift | Science Signaling |
| Jahrgang | 18 |
| Ausgabenummer | 893 |
| ISSN | 1945-0877 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 01.07.2025 |
Fördermittel
We wish to thank C. Wong and L. McGary at the Network Biology Collaborative Centre Proteomics Facility for the miniTurboID analysis. We thank P. Guo and the Nikon Imaging Center at UCSD for support through the microscopy experiments. The computations in this paper were run in part on the FASRC Cannon cluster supported by the FAS Division of Science Research Computing Group at Harvard University. Please refer to the Supplementary Materials for the full acknowledgements (text S1). Funding: This work was supported in part by Cure Alzheimer’s Fund (to C.L., A.C.N., and R.E.T.) and the National Institutes of Health grant R35 GM122523 (to A.C.N.).
| Träger | Trägernummer |
|---|---|
| University of California San Diego | |
| Harvard University | |
| Nikon Imaging Center | |
| Cure Alzheimer's Fund | |
| FASRC | |
| National Institutes of Health | R35 GM122523 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
Strategische Forschungsbereiche und Zentren
- Querschnittsbereich: Medizinische Genetik
DFG-Fachsystematik
- 2.23-06 Molekulare und zelluläre Neurologie und Neuropathologie
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