ImpactU Versión 3.11.2 Última actualización: Interfaz de Usuario: 16/10/2025 Base de Datos: 29/08/2025 Hecho en Colombia
Cognitive characteristics in a Uruguayan cohort of healthy subjects with high educational level in risk of development dementia and its relation with ApoE genotype
Abstract Background ApoE has been linked to individual differences in risk and resilience to neurodegeneration in normal aging. The ApoE4 genotype has been associated with an increased risk of developing late‐onset Alzheimer’s disease (age 65 and older). Within the cognitively healthy population, important differences have been reported in the distribution of ApoE4 alleles and their association with cognitive performance, especially in underrepresented groups. We describe the distribution of ApoE alleles in healthy subjects at risk of developing dementia in Uruguay, and its association with cognitive assessment and risk factors for dementia. Method we studied 73 subjects from the LatAm FINGERS project – Uruguayan cohort. Individuals had biobank analysis for the ApoE4 genotype, cognitive evaluation and risk factors for dementia. We compare the performance of participants in cognitive testing in relation with their ApoE allele characterization, and its relation with risk factors. Result demographic characteristics of study subjects are shown in Table 1. We report only one participant with E4/E4 allele combination and was exclude of analysis groups. Kruskal‐Wallis test (Table 2) revealed a significant difference in CERAD and CERAD Delayed measures between the different APOE allele combinations. We didn´t observed differences in other cognitive parameters. Also, Spearman´s Correlation showed an association between educational level, CERAD and CERAD delayed, GDS and CDR. Framingham Risk score was significantly correlated with CAIDE score. Conclusion our results suggest that the CERAD and CERAD Delayed may vary in different APOE allele combinations in normal subjects with a high educational level at risk of dementia in Uruguay. Understanding how genetic variability contributes to individual differences in cognition is important for the design of multidomain assessments and interventions, not only in subjects with cognitive impairment, but also in normal ageing in underrepresented populations.