A multifactorial model of pathology for age of onset heterogeneity in familial Alzheimer’s disease

AbstractPresenilin-1 (PSEN1) mutations cause familial Alzheimer’s disease (FAD) characterized by early age of onset (AoO). Examination of a large kindred harboring the PSEN1-E280A mutation reveals a range of AoO spanning 30 years. The pathophysiological drivers and clinical impact of AoO variation in this population are unknown. We examined brains of 23 patients focusing on generation and deposition of beta-amyloid (Aβ) and Tau pathology profile. In 14 patients distributed at the extremes of AoO, we performed whole-exome capture to identify genotype–phenotype correlations. We also studied kinome activity, proteasome activity, and protein polyubiquitination in brain tissue, associating it with Tau phosphorylation profiles. PSEN1-E280A patients showed a bimodal distribution for AoO. Besides AoO, there were no clinical differences between analyzed groups. Despite the effect of mutant PSEN1 on production of Aβ, there were no relevant differences between groups in generation and deposition of Aβ. However, differences were found in hyperphosphorylated Tau (pTau) pathology, where early onset patients showed severe pathology with diffuse aggregation pattern associated with increased activation of stress kinases. In contrast, late-onset patients showed lesser pTau pathology and a distinctive kinase activity. Furthermore, we identified new protective genetic variants affecting ubiquitin–proteasome function in early onset patients, resulting in higher ubiquitin-dependent degradation of differentially phosphorylated Tau. In PSEN1-E280A carriers, altered γ-secretase activity and resulting Aβ accumulation are prerequisites for early AoO. However, Tau hyperphosphorylation pattern, and its degradation by the proteasome, drastically influences disease onset in individuals with otherwise similar Aβ pathology, hinting toward a multifactorial model of disease for FAD. In sporadic AD (SAD), a wide range of heterogeneity, also influenced by Tau pathology, has been identified. Thus, Tau-induced heterogeneity is a common feature in both AD variants, suggesting that a multi-target therapeutic approach should be used to treat AD.

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Nongenetic Factors as Modifiers of the Age of Onset of Familial Alzheimer's Disease

International Psychogeriatrics ◽

10.1017/s1041610203009591 ◽

2003 ◽

Vol 15 (4) ◽

pp. 337-349 ◽

Cited By ~ 34

Author(s):

Silvia Mejía ◽

Margarita Giraldo ◽

David Pineda ◽

Alfredo Ardila ◽

Francisco Lopera

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Logistic Regression ◽

Early Onset ◽

Age Of Onset ◽

Univariate Analysis ◽

Personal Factors ◽

Familial Alzheimer’S Disease ◽

Familial Alzheimer's Disease ◽

High Level

Objective: The purpose of this research was to identify environmental and personal factors that could be related to the variability in the age of onset of familial Alzheimer's disease (FAD) (36–62 years). Methods: A sample was taken of 49 subjects with FAD and with the mutation E280A in the presenilin-1 gene on chromosome 14; the sample was divided into two subgroups: 27 individuals with age of onset of the disease between 36 and 46 years (early onset) and 22 individuals whose disease began between 47 and 62 years (late onset). Information on environmental and personal factors was collected by means of a questionnaire answered by the patients if their clinical condition allowed it, or by their relatives; such information was organized in a categorical way. Comparisons between the two groups for each categorical variable were done by means of the chi-square test. Noncollinear variables that showed statistical significance were included as independent variables in a logistic regression analysis to predict their association with early onset of the disease. Results: Only 5 of the 140 studied variables were different between the two groups in univariate analysis: education, surgical history, type of stressful event, depression, and affective losses. The logistic regression model was constituted by education, depression, and affective losses. High-level education had approximately 15 times more probability of association with an early onset of the disease; both the history of affective losses and depressive symptoms had 4 times more probability of a similar association. Conclusions: The association of high-level education and early onset of the disease could be related to an earlier detection of symptoms, in turn determined by greater intellectual and environmental demands. The occurrence of depression and affective losses has been considered a prodromic manifestation of the disease. Our findings are evidence of high clinical heterogeneity even in a genetically homogeneous group.

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