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. 2015 Mar;36(3):1600.e1-4.
doi: 10.1016/j.neurobiolaging.2014.12.023. Epub 2014 Dec 24.

Blood Methylomic Signatures of Presymptomatic Dementia in Elderly Subjects With Type 2 Diabetes Mellitus

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Blood Methylomic Signatures of Presymptomatic Dementia in Elderly Subjects With Type 2 Diabetes Mellitus

Katie Lunnon et al. Neurobiol Aging. .
Free PMC article

Abstract

Due to an aging population, the incidence of dementia is steadily rising. The ability to identify early markers in blood, which appear before the onset of clinical symptoms is of considerable interest to allow early intervention, particularly in "high risk" groups such as those with type 2 diabetes. Here, we present a longitudinal study of genome-wide DNA methylation in whole blood from 18 elderly individuals with type 2 diabetes who developed presymptomatic dementia within an 18-month period following baseline assessment and 18 age-, sex-, and education-matched controls who maintained normal cognitive function. We identified a significant overlap in methylomic differences between groups at baseline and follow-up, with 8 CpG sites being consistently differentially methylated above our nominal significance threshold before symptoms at baseline and at 18 months follow up, after a diagnosis of presymptomatic dementia. Finally, we report a significant overlap between DNA methylation differences identified in converters, only after they develop symptoms of dementia, with differences at the same loci in blood samples from patients with clinically diagnosed Alzheimer's disease compared with unaffected control subjects.

Keywords: Alzheimer's disease (AD); Biomarker; Blood; DNA methylation; Dementia; Epigenetics; Type 2 diabetes.

Conflict of interest statement

Disclosure Statement

The authors declare that they have no conflicts of interest in regard to this work.

Figures

Figure 1
Figure 1. Correlation of the % methylation differences for the 100 top-ranked DMPs across both time points
DNA methylation differences for the 100 most significant DMPs at baseline (shown in Supplementary Table 2) (X-axis) are significantly correlated (r=0.652, P=1.69E-13) with DNA methylation differences in the same probes at 18 month follow up (Y-axis) (A). Similarly DNA methylation differences for the 100 most significant DMPs at 18 month follow-up (shown in Supplementary Table 3) (Y-axis) are significantly correlated (r=0.828, P=1.57E-26) with DNA methylation differences in the same probes at baseline (X-axis) (B).
Figure 1
Figure 1. Correlation of the % methylation differences for the 100 top-ranked DMPs across both time points
DNA methylation differences for the 100 most significant DMPs at baseline (shown in Supplementary Table 2) (X-axis) are significantly correlated (r=0.652, P=1.69E-13) with DNA methylation differences in the same probes at 18 month follow up (Y-axis) (A). Similarly DNA methylation differences for the 100 most significant DMPs at 18 month follow-up (shown in Supplementary Table 3) (Y-axis) are significantly correlated (r=0.828, P=1.57E-26) with DNA methylation differences in the same probes at baseline (X-axis) (B).

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