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1.
Genes (Basel) ; 13(4)2022 03 25.
Article in English | MEDLINE | ID: mdl-35456392

ABSTRACT

The present study evaluated the risk effect of 12 Single Nucleotide Polymorphisms in the SORL1 gene in the Mexican population using Late-Onset Alzheimer's Disease (LOAD) and control subjects. Considering APOE as the strongest genetic risk factor for LOAD, we conducted interaction analyses between single nucleotide polymorphisms (SNPs) and the APOE genotype. METHODS: Patients were interviewed during their scheduled visits at neurologic and geriatric clinics from different institutions. The LOAD diagnosis included neurological, geriatric, and psychiatric examinations, as well as the medical history and neuroimaging. Polymorphisms in SORL1 were genotyped by real-time PCR in 156 subjects with LOAD and 221 controls. APOE genotype was determined in each study subject. Allelic, genotypic, and haplotypic frequencies were analyzed; an ancestry analysis was also performed. RESULTS: The A/A genotype in rs1784933 might be associated with an increased LOAD risk. Two blocks with high degree linkage disequilibrium (LD) were identified. The first block composed by the genetic variants rs668387, rs689021 and rs641120 showed a positive interaction (mainly the rs689021) with rs1784933 polymorphism. Moreover, we found a significant association between the APOE ε4 allele carriers and the variant rs2070045 located in the second LD block. CONCLUSION: The rs1784933 polymorphism is associated with LOAD in Mexican patients. In addition, the presence of APOE ε4 allele and SORL1 variants could represent a genetic interaction effect that favors LOAD risk in the Mexican population. SNPs have been proposed as genetic markers associated with the development of LOAD that can support the clinical diagnosis. Future molecular studies could help understand sporadic Alzheimer's Disease (AD) among the Mexican population, where currently there is a sub-estimate number in terms of disease frequency and incidence.


Subject(s)
Alzheimer Disease , Aged , Alzheimer Disease/epidemiology , Alzheimer Disease/genetics , Apolipoprotein E4/genetics , Humans , LDL-Receptor Related Proteins/genetics , Membrane Transport Proteins/genetics , Mexico , Polymorphism, Single Nucleotide
2.
Antioxid Redox Signal ; 26(10): 542-560, 2017 04 01.
Article in English | MEDLINE | ID: mdl-27368351

ABSTRACT

SIGNIFICANCE: Recently, chronic degenerative diseases have become one of the main health problems worldwide. That is the case of Alzheimer's disease (AD) and metabolic syndrome (MetS), whose expression can be influenced by different risk factors. Recent Advances: In recent decades, it has been widely described that MetS increases the risk of cognitive impairment and dementia. MetS pathogenesis involves several vascular risk factors such as diabetes, dyslipidemia, hypertension, and insulin resistance (I/R). CRITICAL ISSUES: Reported evidence shows that vascular risk factors are associated with AD, particularly in the development of protein aggregation, inflammation, oxidative stress, neuronal dysfunction, and disturbances in signaling pathways, with insulin receptor signaling being a common alteration between MetS and AD. FUTURE DIRECTIONS: Insulin signaling has been involved in tau phosphorylation and amyloid ß (Aß) metabolism. However, it has also been demonstrated that Aß oligomers can bind to insulin receptors, triggering their internalization, decreasing neuron responsiveness to insulin, and promoting insulin I/R. Thus, it could be argued that Aß could be a convergent factor in the development of both pathologies. Antioxid. Redox Signal. 26, 542-560.


Subject(s)
Alzheimer Disease/etiology , Alzheimer Disease/metabolism , Amyloid beta-Peptides/metabolism , Metabolic Syndrome/complications , Alzheimer Disease/pathology , Animals , Brain/metabolism , Brain/pathology , Humans , Inflammation/genetics , Inflammation/immunology , Inflammation/metabolism , Insulin Resistance , Lipid Metabolism , Neurons/metabolism , Neurons/pathology , Oxidative Stress , Protein Aggregation, Pathological , Proteolysis , Risk Factors , Signal Transduction
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