Transcriptomic and Network Analysis Highlight the Association of Diabetes at Different Stages of Alzheimer’s Disease

• Published in: Frontiers in neuroscience Vol. 13; p. 1273
• Main Authors: Santiago, Jose A., Bottero, Virginie, Potashkin, Judith A.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 29.11.2019; Frontiers Media S.A
• Subjects: 1-Phosphatidylinositol 3-kinase; Aging; AKT protein; Alzheimer's disease; Apolipoproteins; Apoptosis; Arteriosclerosis; blood transcriptome; Cognitive ability; Comorbidity; Dementia; Diabetes; Diabetes mellitus (non-insulin dependent); DNA microarrays; Forkhead protein; FOXO3 protein; Gene expression; Infectious diseases; Inflammation; Insulin; Insulin resistance; Kinases; mild cognitive impairment; Molecular modelling; network analysis; Neurodegeneration; Neuroscience; Neurosciences; Proteins; Risk factors; Signal transduction; Studies; Therapeutic applications; Transcription; type 2 diabetes; United States > US; Chicago Illinois; blood transcriptome; mild cognitive impairment; network analysis; type 2 diabetes; Alzheimer’s disease
• ISSN: 1662-453X; 1662-4548; 1662-453X
• DOI: 10.3389/fnins.2019.01273

Alzheimer's disease (AD) and type 2 diabetes (T2D) are among the most prevalent chronic diseases affecting the aging population. Extensive research evidence indicates that T2D is a well-established risk factor for AD; however, the molecular mechanisms underlying this association have not been fully elucidated. Furthermore, how T2D may contribute to the progression of AD is a subject of extensive investigation. In this study, we compared the blood transcriptome of patients with mild cognitive impairment (MCI), AD, and advanced AD to those afflicted with T2D to unveil shared and unique pathways and potential therapeutic targets. Blood transcriptomic analyses revealed a positive correlation between gene expression profiles of MCI, AD, and T2D in seven independent microarrays. Interestingly, gene expression profiles from women with advanced AD correlated negatively with T2D, suggesting sex-specific differences in T2D as a risk factor for AD. Network and pathway analysis revealed that shared molecular networks between MCI and T2D were predominantly enriched in inflammation and infectious diseases whereas those networks shared between overt AD and T2D were involved in the phosphatidylinositol 3-kinase and protein kinase B/Akt (PI3K-AKT) signaling pathway, a major mediator of insulin signaling in the body. The PI3K-AKT signaling pathway became more significantly dysregulated in the advanced AD and T2D shared network. Furthermore, endocrine resistance and atherosclerosis pathways emerged as dysregulated pathways in the advanced AD and T2D shared network. Interestingly, network analysis of shared differentially expressed genes between children with T2D and MCI subjects identified forkhead box O3 (FOXO3) as a central transcriptional regulator, suggesting that it may be a potential therapeutic target for early intervention in AD. Collectively, these results suggest that T2D may be implicated at different stages of AD through different molecular pathways disrupted during the preclinical phase of AD and more advanced stages of the disease.