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Publication : GSK3-ARC/Arg3.1 and GSK3-Wnt signaling axes trigger amyloid-β accumulation and neuroinflammation in middle-aged Shugoshin 1 mice.

First Author  Rao CV Year  2020
Journal  Aging Cell Volume  19
Issue  10 Pages  e13221
PubMed ID  32857910 Mgi Jnum  J:296937
Mgi Id  MGI:6469371 Doi  10.1111/acel.13221
Citation  Rao CV, et al. (2020) GSK3-ARC/Arg3.1 and GSK3-Wnt signaling axes trigger amyloid-beta accumulation and neuroinflammation in middle-aged Shugoshin 1 mice. Aging Cell 19(10):e13221
abstractText  The cerebral amyloid-beta accumulation that begins in middle age is considered the critical triggering event in the pathogenesis of late-onset Alzheimer's disease (LOAD). However, the molecular mechanism remains elusive. The Shugoshin 1 (Sgo1(-/+) ) mouse model, a model for mitotic cohesinopathy-genomic instability that is observed in human AD at a higher rate, showed spontaneous accumulation of amyloid-beta in the brain at old age. With the model, novel insights into the molecular mechanism of LOAD development are anticipated. In this study, the initial appearance of cerebral amyloid-beta accumulation was determined as 15-18 months of age (late middle age) in the Sgo1(-/+) model. The amyloid-beta accumulation was associated with unexpected GSK3alpha/beta inactivation, Wnt signaling activation, and ARC/Arg3.1 accumulation, suggesting involvement of both the GSK3-Arc/Arg3.1 axis and the GSK3-Wnt axis. As observed in human AD brains, neuroinflammation with IFN-gamma expression occurred with amyloid-beta accumulation and was pronounced in the aged (24-month-old) Sgo1(-/+) model mice. AD-relevant protein panels (oxidative stress defense, mitochondrial energy metabolism, and beta-oxidation and peroxisome) analysis indicated (a) early increases in Pdk1 and Phb in middle-aged Sgo1(-/+) brains, and (b) misregulations in 32 proteins among 130 proteins tested in old age. Thus, initial amyloid-beta accumulation in the Sgo1(-/+) model is suggested to be triggered by GSK3 inactivation and the resulting Wnt activation and ARC/Arg3.1 accumulation. The model displayed characteristics and affected pathways similar to those of human LOAD including neuroinflammation, demonstrating its potential as a study tool for the LOAD development mechanism and for preclinical AD drug research and development.
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