Regular articleMammalian target of rapamycin hyperactivity mediates the detrimental effects of a high sucrose diet on Alzheimer's disease pathology
Introduction
Alzheimer's disease (AD) is an untreatable neurodegenerative disorder currently affecting more than 5 million Americans. The vast majority of AD cases are sporadic and of unknown etiology; nevertheless, epidemiologic studies have provided crucial insight into disease risk factors (Mayeux and Stern, 2012). Growing evidence shows that certain lifestyle choices, such as a high sugar or high fat diet, increase the risk of developing AD (Biessels et al., 2006). The Rotterdam study, a historic prospective population-based longitudinal study, identified that diabetes alone increases the risk of developing AD by ∼2-fold (Ott et al., 1999); this finding has been widely confirmed (reviewed by Sims-Robinson et al., 2010). Treating midlife health conditions known to increase the risk for developing AD, such as diabetes, may provide an opportunity for managing the projected increase in AD incidence.
Clinically, type 2 diabetic (T2D), metabolic syndrome and AD patients share many common pathophysiological features. These include hyperglycemia, hyperinsulinemia, insulin resistance, glucose intolerance, dyslipidemia and inflammation; these traits reportedly correlate with attention and memory deficits (Jones et al., 2009). Mounting evidence suggests that insulin resistance and concomitant elevated blood glucose is a key metabolic dysfunction contributing to AD (reviewed by Cholerton et al., 2013). Namely, recent studies have reported evidence for insulin resistance in AD brains independent of the patients' diabetic status (e.g., Talbot et al., 2012). Additionally, preliminary results from an ongoing clinical study have revealed that T2D patients taking the insulin sensitizing drug, metformin, were less likely to develop AD then T2D patients taking other anti-diabetic medications (ClinicalTrials.gov Identifier: NCT01595646).
Neuropathologically, the AD brain is characterized by the accumulation of plaques, comprised mainly of amyloid-β (Aβ), and neurofibrillary tangles that are largely formed of hyperphosphorylated protein tau (Querfurth and LaFerla, 2010). Notably, patients with T2D have increased levels of hyperphosphorylated tau in their brains (Liu et al., 2009), further strengthening the link between diabetes and AD. The use of AD mouse models with either genetically or chemically induced-diabetes have also reported a link between diabetes and AD pathologies (Jolivalt et al., 2010, Ke et al., 2009, Plaschke et al., 2010, Takeda et al., 2010). For example, inducing type I diabetes by streptozotocin exacerbated the development of neurofibrillary tangles in a mouse model overexpressing mutant human tau (Ke et al., 2009). Similarly, induction of experimental diabetes with streptozotocin or analogous drugs increased Aβ and tau levels in wild-type mice and rabbits (Bitel et al., 2012, Ke et al., 2009). Collectively, studies provide compelling evidence that these prevalent age-associated diseases share alterations in common molecular pathways associated with glucose metabolism. However, the molecular mechanisms underlying the link between abnormal glucose homeostasis and AD remain to be elucidated.
Mammalian target of rapamycin (mTOR) is a protein kinase that plays a key role in maintaining energy homeostasis in the brain and other tissue types (Mannaa et al., 2013). As an energy sensor, mTOR regulates numerous cellular pathways including protein translation, cell growth, and proliferation. To modulate insulin signaling in times of high nutrient exposure, mTOR directly phosphorylates the insulin receptor leading to its internalization; this, in turn, results in a decrease of mTOR signaling (Wullschleger et al., 2006). However, through the same mechanisms, chronic mTOR hyperactivity leads to insulin resistance, a key feature of T2D (Saha et al., 2011). mTOR hyperactivity is also found in AD brains and in AD mouse models (Caccamo et al., 2010, Caccamo et al., 2011, Oddo, 2012, Pei and Hugon, 2008). We, and others, have shown that restoring mTOR activity using an mTOR inhibitor, rapamycin, mitigates AD-associated pathology and cognitive deficits (Caccamo et al., 2010, Majumder et al., 2011, Majumder et al., 2012, Spilman et al., 2010). As mTOR hyperactivity is common to both diabetes and AD, here, we explored the role of mTOR signaling as a molecular link between these two age-related diseases.
Section snippets
Mice
The 3xTg-AD mice used in these studies have been previously described (Oddo et al., 2003); only female mice were used for this study. Mice were housed in 4–5 to cages. Twice weekly, fresh 20% sucrose dissolved in water was given to all 3xTg-ADSuc and 3xTgADSuc + Rapa mice. Additionally, microencapsulated rapamycin (Harrison et al., 2009) was added at a concentration of 14 mg/kg to mouse chow for 3xTgADSuc + Rapa mice. The 3xTg-ADCTL mice were on regular water and regular chow. Mice were kept on
Prolonged sucrose intake altered insulin signaling in 3xTg-AD mice
To better understand the relation among AD, insulin resistance, and diabetes we used a candidate approach and focused on the role of mTOR signaling, given its involvement in AD pathogenesis, energy homeostasis, and insulin signaling. Specifically, 12-month-old 3xTg-AD mice, a widely used animal model of AD, were randomly assigned to one of the following groups: (1) 15 mice had ad libitum access to 20% sucrose water as the only source of water, these mice will be referred to as 3xTg-ADSuc
Discussion
Currently there are no pharmacologic interventions that effectively cure, prevent, or delay AD progression. Midlife health conditions known to increase the risk for developing AD, such as diabetes, are treatable and may provide an opportunity for intervention. While many studies have independently confirmed an increased risk of AD and diabetes (reviewed by Sims-Robinson et al., 2010), since the pivotal Rotterdam study was originally published in 1999, little progress has been made to understand
Disclosure statement
The authors declare no competing financial interests. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Acknowledgements
This work was supported by an National Institutes of Health grant to Salvatore Oddo, AG037637-03. Miranda Orr is supported by a training grant from the National Institute of Aging (T32 AG021890).
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