The retromer complex is an important component of the endosomal protein sorting machinery and mediates protein cargoes from endosomes to the trans-Golgi network (TGN) by retrograde pathway or to the cell surface through recycling pathway. Studies show that retromer and its receptors can make amyloid precursor protein (APP)/β-site APP-cleaving enzyme 1 (BACE1) away endosomes that reduces the production of amyloid β (Aβ). And, tetramer is also found to regulate phagocytic receptors to the plasma membrane of microglia, where some phagocytic receptors take part in Aβ clearance. Therefore, disruption of retromer will increase the production of Aβ. Recently, a plausible relationship between disturbance of retromer and tauopathies is raised. Retromer dysfunction may result in decreasing the clearance of extracellular tau and the level of cathepsin D, which enables tau-induced neurotoxicity. This review article summarizes the structure and function of retromer and its role in pathogenesis of AD. In the end, retromer may provide a potential therapeutic strategy for the treatment of AD.
A recent meta-analysis of genome-wide association studies (GWAS) in population of Caucasian identified a single nucleotide polymorphism (SNP) rs17125944 in the FERMT2 gene as a new susceptibility locus for late-onset Alzheimer's disease (LOAD). In order to validate the association of the rs17125944 polymorphism with LOAD risk in the northern Han Chinese, we recruited a case–control study of 2338 Han Chinese subjects (984 cases and 1354 age- and gender-matched controls). Our results demonstrated that there was no significant association between the rs17125944 polymorphism and LOAD (genotype: P = 0.953; allele: P = 0.975). Furthermore, no significant differences were observed in alleles and genotypes distribution after stratification by apolipoprotein E (APOE) ε4 and multivariate logistic regression analysis. We also performed a meta-analysis in 81908 individuals. The meta-analysis showed that the C allele is the risk factor for LOAD in Caucasian group (OR = 1.15, 95 % CI = 1.10–1.20) and combined population (OR = 1.13, 95 % CI = 1.08–1.19). While in Chinese population, the C allele is not associated with increased risk of LOAD (OR = 1.07, 95 % CI = 0.89–1.28). In conclusion, our study showed that the rs17125944 polymorphism in FERMT2 gene might not be association with LOAD in northern Han Chinese population.
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