Journal
FRONTIERS IN AGING NEUROSCIENCE
Volume 15, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fnagi.2023.1273825
Keywords
cognitive impairment; MMSE; long-living individuals; GWAS; polygenic risk score; APOE; dementia; molecular dynamics
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This study investigated possible causes of cognitive impairment and proposed preventive options. The rs429358 polymorphism in the APOE gene was found to cause changes in protein structure, potentially contributing to the development of cognitive impairment. However, cognitive impairment is determined by multiple factors, as confirmed by the polygenic risk score model. The findings can contribute to the development of early detection strategies for cognitive impairment in older adults.
Background Cognitive impairment is an irreversible, aging-associated condition that robs people of their independence. The purpose of this study was to investigate possible causes of this condition and propose preventive options.Methods We assessed cognitive status in long-living adults aged 90+ (n = 2,559) and performed a genome wide association study using two sets of variables: Mini-Mental State Examination scores as a continuous variable (linear regression) and cognitive status as a binary variable (> 24, no cognitive impairment; <10, impairment) (logistic regression).Results Both variations yielded the same polymorphisms, including a well-known marker of dementia, rs429358in the APOE gene. Molecular dynamics simulations showed that this polymorphism leads to changes in the structure of alpha helices and the mobility of the lipid-binding domain in the APOE protein.Conclusion These changes, along with higher LDL and total cholesterol levels, could be the mechanism underlying the development of cognitive impairment in older adults. However, this polymorphism is not the only determining factor in cognitive impairment. The polygenic risk score model included 45 polymorphisms (ROC AUC 69%), further confirming the multifactorial nature of this condition. Our findings, particularly the results of PRS modeling, could contribute to the development of early detection strategies for predisposition to cognitive impairment in older adults.
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