International Journal of Alzheimer’s Disease

International Journal of Alzheimer’s Disease / 2011 / Article
Special Issue

Genetic Risk Factors: Their Function and Comorbidities in Alzheimer's Disease

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Review Article | Open Access

Volume 2011 |Article ID 806293 |

Giulio Maria Pasinetti, Jun Wang, Shanee Porter, Lap Ho, "Caloric Intake, Dietary Lifestyles, Macronutrient Composition, and Alzheimer’ Disease Dementia", International Journal of Alzheimer’s Disease, vol. 2011, Article ID 806293, 12 pages, 2011.

Caloric Intake, Dietary Lifestyles, Macronutrient Composition, and Alzheimer’ Disease Dementia

Academic Editor: Mikko Hiltunen
Received01 Dec 2010
Accepted12 May 2011
Published26 Jul 2011


Alzheimer's disease is a devastating neurodegenerative condition currently affecting over 5 million elderly individuals in the United States. There is much evidence suggesting that certain dietary lifestyles can help to prevent and possibly treat Alzheimer's disease. In this paper, we discuss how certain cardiovascular and diabetic conditions can induce an increased susceptibility for Alzheimer's disease and the mechanisms through which this occurs. We further discuss how the consumption of certain foods or food components can help to reduce one's risk for Alzheimer's disease and may possibly be developed as a therapeutic agent.

1. Introduction

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by a progressive decline in memory functions, which has become a growing public health concern. This condition of clinical dementia was first described by Alois Alzheimer in 1907, and ever since, the incidence of AD has increased exponentially. There are presently 5 million Americans affected with AD, and the estimated annual health care cost is almost 100 billion dollars. Further, due to the expected increase in the number of individuals 65 years or older, it has been estimated that the total incidence of AD will quadruple by the year 2050 [1].

As there is presently no cure for this devastating condition, there is an urgent need to find a means of preventing, delaying the onset, or reversing the course of AD. Recent research has provided evidence that certain dietary lifestyle choices can help to prevent Alzheimer’s disease. This area of research has been quite exciting in light of the fact that delaying the onset of AD by just five years could cut its incidence in half.

In this paper, we first discuss the major pathological features of AD clinical dementia, followed by an examination of research on certain dietary factors that have been found to influence AD. These dietary factors include calorie, fat, and glucose/sugar intake, in addition to the inclusion of foods like fish, certain fruits and vegetables, plant extracts, spices and red wine, or polyphenol-rich foods in one’s diet.

AD is pathologically characterized by the depositions of beta-amyloid aggregates in extracellular spaces and cerebral vasculatures as well as intracellular depositions of aggregated tau protein [2]. The “amyloid cascade hypothesis” is a popular model of AD pathogenesis and most of the autosomal dominant familial AD cases are caused by mutations in the amyloid precursor protein (APP), presenilin 1, or presenilin 2, which lead to increased generation of beta-amyloid (Aβ) peptides. However, the majority of the AD cases are sporadic. Cause(s) of sporadic AD are largely unknown. Multiple risk factors may contribute to the onset of sporadic AD. These risk factors include genetic risk factor such as the apolipoprotein E (APOE) genotype, as well as nongenetic and environmentally modifiable factors, including dietary, cardiovascular risk factors, physical and intellectual activities, and environment factors. As such, these factors have been generally considered as potential targets of intervention for AD prevention and therapy.

1.1. Alzheimer ’s Disease Neuropathology

AD is characterized in the brain by accumulated extracellular β-amyloid (Aβ) plaques and intracellular neurofibrillary tangles composed of abnormally hyperphosphorylated microtubular tau proteins. The manifestation of AD clinically is a progressive loss of cognitive abilities, including deficits in memory and planning. Neurotoxic Aβ is known to exist in multiple assembly states, which often result in varying pathophysiological effects. Additionally, although Aβ is classically understood to be deposited extracellularly, there is new evidence in mice and humans that Aβ peptides can also accumulate intraneuronally [3]. Aβ species are generated from the ubiquitously expressed amyloid precursor protein (APP) through sequential proteolysis by β- and γ-secretases [46]. Although the 40-amino acid form of Aβ (Aβ1–40) is considered to be the major secreted species in AD, the 42-amino acid form of Aβ (Aβ1–42), which contains two additional residues at its carboxyl terminus, is thought to initiate AD pathogenesis [7]. In addition, tau proteins in the brain (most particularly hyperphosphorylated tau), which aggregate into paired helical filaments and deposit as intracellular neurofibrillary tangles, [8, 9], are also considered to be a major pathology associated with Alzheimer’s disease. Researchers posit that abnormal hyperphosphorylation of tau leads to the sequestration of normal and hyperphosphorylated tau in microtubules, leading to alternations in the healthy functioning of tau in the brain (including changes in axon transport and microtubule stability and polymerization [10, 11]). As Aβ species and tau neurofibrillary tangles are the major hallmarks of AD neuropathology, research on therapies or preventions for AD are often geared toward attenuating or treating these neuropathologies.

In addition to Aβ and tau pathologies, mitochondrial functions also play a major role in AD clinical dementia [12]. Mitochondria regulate energy metabolism in cells and contribute largely to cell life or death (apoptosis). In the presence of increased Aβ content in the brain, mitochondria increase the generation of reactive oxygen species (ROS), which function as damaging agents and as signaling molecules. Highly reactive ROS, in fact, unleash a mechanism involving the liberation of cytochrome c, leading to neuronal apoptosis [13, 14]. In human AD patients, positron emission tomography (PET) imaging assessments have suggested that the AD brain is characterized by impaired mitochondrial glucose metabolism, leading to neuronal hyperglycemic conditions [15]. In light of this evidence, controlling mitochondrial glucose/energy metabolism in the brain has also been of high interest to AD researchers for the prevention and treatment of AD.

2. Obesity and the Metabolic Syndrome in AD

High-fat diets and sedentary lifestyles have become major concerns throughout the world. They have led to a growing incidence of obesity, dyslipidemia, high blood pressure, and hyperglycemic conditions, known collectively to be components of metabolic syndrome [16]. These health conditions are well known to develop along with, or be precursors of, atherosclerosis, cardiovascular disease, and diabetes. Recent studies have found that most of these disorders can also be linked to an increased risk of AD. Of note, accumulating evidence suggests a mechanistic link between cholesterol metabolism in the brain and the formation of amyloid plaques in AD development [17, 18].

Epidemiological studies have demonstrated that individuals with obesity and diabetes have a fourfold increased risk for AD. Health risks associated with obesity, including evidence that obesity may causally promote the AD degenerative process, are of high concern for public health. By the beginning of the twenty-first century, the fraction of Americans considered to be obese reached “epidemic” levels, according to a study published in [19]. This study, carried out between 1991 and 1998, observed a steady increase in weight in all 50 states, across genders, age groups, races, and educational levels, and occurring regardless of smoking status. This study found that obesity had increased from 12.0% in 1991 to 17.9% in 1998. Likewise, national survey data has shown that between 1976–1980 and 1988–1994, the age-adjusted prevalence of obesity increased by 8 percentage points, from 14.5% to 22.5%, in the US adult population ages 20–74 years [20].

Several major studies have been conducted in humans to explore the relationship between obesity and the brain. Recently, Pannacciulli and colleagues [21] explored the association between body fat and regional alterations in brain structure using voxel-based morphometry (VBM) imaging (based on high-definition 3D magnetic resonance imaging [MRI]). Compared to lean subjects, obese individuals were found to have significantly lower gray matter density in the postcentral gyrus, frontal operculum, putamen, and middle frontal gyrus, indicating differences in the brain regulation of taste, reward and behavioral control. Additionally, Whitmer and colleagues [22] evaluated the possible association between obesity (as measured by body mass index (BMI) and skinfold thickness) in middle age and risk of dementia in later life in a large scale, multiethnic population-based cohort. Findings revealed that obese individuals (BMI > 30) in middle age had a 35% higher risk for dementia compared to normal weight individuals (18.6 < BMI < 24.9), independent of other comorbid conditions. Additionally, Balakrishnan and colleagues [23] investigated the association between blood plasma Aβ levels (which promote AD development), BMI, and fat mass (FM) in healthy adults and found significant correlations of BMI and FM with plasma Aβ1–42 levels and also noted that the presence of certain proteins known to play a role in inflammation, cardiovascular disease, and type 2 diabetes strengthened these correlations.

Researchers have also investigated the role of leptin, a protein hormone secreted in fat cells associated with obesity (which regulates appetite and metabolism), in AD pathogenesis. In pathological conditions of aging, such as in AD, it has been demonstrated that the transport of leptin across the blood brain barrier (BBB) is significantly impaired, in particular, by the downregulation of megalin, a protein to which leptin must bind in order to enter the brain [24]. Leptin has also been shown to reduce β-secretase activity in neuronal cells, possibly by altering the lipid composition of membrane rafts, and thereby affecting Aβ generation. In fact, chronic administration of leptin actually reduced Aβ load in the brains of AD transgenic mice, suggesting the potential of leptin as a treatment for AD [25] and providing further support for the hypothesized link between obesity and AD.

3. Calorie Intake and Caloric Restriction

Research has demonstrated that caloric intake (among other nongenetic factors) influences one’s risk for AD, and, accordingly, that curbing obesity/calorie intake might play an important role in delaying the AD degenerative process. Clarifying the mechanisms through which caloric intake may ultimately influence AD neuropathology, and how caloric restriction (CR) may exert anti-β-amyloidogenic activities, may provide new avenues for designing preventive and/or therapeutic lifestyle strategies for AD and other neurodegenerative conditions.

The hypothesized preventive effects of CR on the development of mild cognitive impairment (MCI) or AD are supported by epidemiological evidence indicating that individuals who habitually consume fewer calories have a reduced incidence of AD [26, 27]. Additionally, studies have demonstrated that CR is one method by which one can mitigate the risk factor presented by elevated plasma homocysteine levels (which increase with age) for AD. Specifically, as high homocysteine levels render neurons to be more vulnerable by impairing DNA repair mechanisms (and thereby promoting cell death), lowering homocysteine levels through CR could potentially help to maintain the brain’s neuroprotective abilities and help prevent against AD [28].

Halagappa and colleagues [29] tested the hypothesis that two different dietary energy restriction regimens—40% calorie restriction (CR) and intermittent fasting (IF)—could protect against cognitive decline in a transgenic mouse model of AD and found that both regimens ameliorated age-related cognitive impairments but could not directly link the observed effects to Aβ and tau pathologies. Further, Wu and colleagues [30] investigated the effects of CR for 4 months on different AD phenotypes in another mouse model, finding that CR diets improved cognitive impairments in treated mice based on improved scores on assessments of novel object recognition and contextual fear conditioning memory. Further histological and biochemical analyses revealed that CR actually attenuated ventricle enlargement, caspace-3 activation and astrogliosis and reduced the induction of tau hyperphosphorylation. Importantly, DNA microarray analysis in this study also demonstrated that CR could increase the expression of neurogenesis-related genes and decrease the expression of inflammation-related genes in the hippocampus of the mice, indicating that CR could induce neuroprotective activity in the brain.

In accordance with this line of work, we initiated a series of studies to investigate whether AD pathogenesis can be prevented by reducing calorie intake to levels appropriate for cardiac health. At the beginning of this endeavor, although evidence had supported a possible neuroprotective role of CR in neurodegeneration, there had been no information regarding whether CR could attenuate AD neuropathology until recently.

We explored whether a clinically acceptable weight reduction/CR regimen, based on an approximately 30%-reduced carbohydrate intake, could attenuate AD neuropathology and possibly mitigate preexisting amyloid neuritic pathology (by a reduction in plaque size) resulting in the recovery of amyloid-associated neuritic dystrophy as a function of time in Tg2576 AD-type mice [31]. In this study [32], 3-month old Tg2576 mice, which developed AD-type amyloid neuropathology at 8–10 months of age, were fed with a daily low-carbohydrate (low-carb) diet for 9 months, resulting in 30% lower caloric intake compared to age- and gender-matched control mice fed ad libitum (AL) with a standard laboratory rodent diet (dietary content of protein, fat, cholesterol, vitamins, and minerals were identical across both mice groups). We found that the low-carb/CR diet in mice resulted in body weight stabilization, 3-fold lower ependymal fat pad weight, and improved glucose tolerance responses compared to the AL-fed mice at 9 months of age. This finding was consistent with clinical evidence indication that low-carb/CR diets considerably improve abnormal glucose control and obesity [3335], which are risk factors for diabetes and AD [27, 36]. Moreover, when examined for AD-type neuropathology, we found that the CR intervention almost completely prevented cortical and hippocampal AD-type amyloid plaque (lower Aβ1–40 and Aβ1–42 concentrations) development relative to the AL-fed group. We next proceeded to explore APP processing and Aβ peptide generation in the CR- and AL-fed mice, and, consistent with our previous evidence, we confirmed decreased levels of Aβ1–40 and Aβ1–42 in CR-fed compared to AL-fed mice. Further investigation revealed that γ-secretase activity had no involvement in the anti-amyloidogenic activity observed but that α-secretase activity (which promotes the nonamyloidogenic processing of APP) likely played a role in the observed benefits of CR treatment in mice. As α-secretase cleavage of APP is known to involve the release of a soluble and neuroprotective form of APP (sAPPα), it is possible that CR may not only promote a non-amyloidogenic pathway in the brain, but also may promote brain repair activities as a result of sAPPα neurotrophic function [37].

Current therapeutic approaches to AD are aimed at preventing the generation of amyloidogenic Aβ peptides, and for this reason, β- and γ-secretase activities required for the formation of Aβ peptides are central targets in the development of therapeutic agents in AD [38]. However, it has been difficult for scientists to find safe and selective β- and γ-secretase inhibitors, as these activities are vital in the processing of other cellular substrates [38]. Our studies collectively revealed that CR dietary intervention benefitted AD mice by promoting α-secretase activity, and thereby inhibiting the generation of high molecular weight Aβ peptides.

3.1. Sirtuins (SIRT1) in CR-Mediated AD Prevention

Sirtuins are class III histone deacetylases (HDAC) known as silent information regulators, which serve to catalyze deacetylation reactions in an NAD(+)-dependent manner. Often called “longevity” genes, sirtuins regulate important cell functions by deacetylating histone and nonhistone targets. Activation of sirtuins is known to extend lifespan by promoting healthy aging in a variety of species and by protecting crucial tissues in the body, including those in the heart and brain. In mammalian systems, sirtuin activators protect against axonal degeneration, polyglutamine toxicity, and microglia-mediated Aβ toxicity, suggesting the potential therapeutic value of sirtuin activation in patients with AD [39]. SIRT1 has been found to protect against microglia-dependent Aβ toxicity by inhibiting NF-κB signaling in the brain [40].

In 2006, we reported for the first time that promotion of SIRT1-mediated deacetylase activity may be a mechanism through which CR influences AD-type amyloid neuropathology. CR by 30% reduced carbohydrate intake was found to prevent amyloid neuropathology in young-adult Tg2576 mice, which may have been mediated in part through mechanisms involving activation of mammalian SIRT1 [41]. Consistent with this evidence in Tg2576 mice, we confirmed this finding in a new animal model by showing that a similar 30% CR regimen in squirrel monkeys coincided with a significant reduction in Aβ1–40 and Aβ1–42 peptide content in the brain, which inversely correlated with the elevation of SIRT1 protein concentrations, relative to AL-fed monkeys [42]. In view of the fact that several studies in squirrel monkeys have been successfully used to provide important human physiological and biological information at organism, tissue, cellular, and molecular levels, these studies in squirrel monkeys strongly support our hypothesis that clinically applicable CR regimens in humans might be effective in preventing amyloid neuropathology and possibly MCI and AD.

Collectively, our studies on CR in AD mice and in squirrel monkeys revealed that certain experimental CR dietary regimens may promote, attenuate, or even partially reverse features of AD [32, 41, 42]. In our studies, we found that high caloric intake, in particular of saturated fat, promotes AD-type β-amyloidosis and that reducing carbohydrate intake may actually prevent it, possibly through SIRT1-mediated response mechanisms.

4. The Role of Insulin in AD

Insulin and insulin signaling have been suggested to play a role the pathophysiology of AD [43, 44]. In population-based studies, individuals with type 2 diabetes mellitus are at an increased risk for cognitive impairment, dementia, and neurodegeneration. Mechanisms through which diabetes presents a risk factor include glycemia, insulin resistance, oxidative stress, advanced glycation endproducts, inflammatory cytokines, and microvascular and macrovascular disease [45]. The principal defect in type 2 diabetes is insulin resistance, leading to insulin deficiency. The islet of Langerhans (in the pancreas) in type 2 diabetes is characterized by β-cell loss and islet amyloid derived from islet amyloid polypeptide (IAPP) [4648], a protein co-expressed and secreted with insulin by β-cells. As with Aβ peptides, IAPP spontaneously forms into amyloid aggregates in an aqueous environment [49]. Additionally, as with AD, the incidence of type 2 diabetes strongly increases with age. Borderline diabetes is also associated with increased risks of dementia and AD, independent of whether one develops diabetes in later life, and may interact with severe systolic hypertension to multiply one’s risk for Alzheimer's disease [50]. These findings implicate a close biological relationship between type 2 diabetes and AD.

In addition to complications affecting the eyes, kidneys, heart, blood vessels and nerves, diabetes mellitus is associated with damage to the central nervous system (CNS) and cognitive deficits [51, 52]. Impairments in learning and memory have been documented in both types 1 and 2 diabetes. CNS deficits range from moderate to severe, depending on the quality of glycemic control, and involve mainly verbal memory and complex information processing [5355]. Furthermore, it has been shown that insulin affects several brain functions including cognition and memory, and several studies have established links between insulin resistance, diabetes mellitus and AD [56]. Recent evidence indicates that insulin regulates the metabolism of Aβ and tau proteins [5759]. It has also been suggested that desensitization of neuronal insulin receptors and certain signaling events in AD could lead to reduced acetylcholine levels and cerebral blood flow, resulting in chronic and increasing deficits in oxidative metabolism [60]. Additionally, insulin is known to facilitate the hepatic clearance of plasma Aβ1–40 by intracellular translocation of low-density lipoprotein receptor-related protein 1 (LRP-1) to the plasma membrane in hepatocytes [61].

Alzheimer's disease (AD) is associated with major impairments in insulin and insulin-like growth factor (IGF) gene expression and signaling in the brain, which increase with severity of dementia and deficits in energy metabolism and acetylchoine homeostasis. This coexistence of insulin/IGF deficiency and resistance in the brain suggests that AD may represent a brain-specific form of diabetes (i.e., type 3 diabetes). This hypothesis is supported by findings from de la Monte and colleagues [62] in an experimental animal model in which intracerebral streptozotocin (ic-STZ) was used to deplete brain, and not pancreatic, insulin. The ic-STZ treatment produced brain-specific insulin depletion and insulin resistance and was associated with progressive neurodegeneration sharing many features in common with AD. They demonstrated that early treatment with peroxisome-proliferator activated receptor agonists can effectively prevent ic-STZ-induced neurodegeneration and its associated deficits in learning and memory and that the observed effects were mediated by increased binding to insulin receptors, reduced levels of oxidative stress and tau phosphorylation, and increased choline acetyltransferase expression in the brain, suggesting potential therapeutic efficacy of insulin sensitizing agents in AD.

4.1. Diabetogenic Diets and AD Amyloid Pathology

There is in vitro evidence that insulin itself may significantly promote the generation of extracellular amyloidogenic Aβ peptides through mechanisms that involve accelerated APP/Aβ trafficking from the trans-Golgi network (a major cellular site for Aβ generation) to the plasma membrane [63]. While this evidence tentatively suggests that abnormal carbohydrate metabolism might play an important role in AD through mechanisms that involve Aβ peptide generation, experimental studies also suggest that insulin resistance may promote AD amyloid neuropathology in Tg2576 mice, possibly by limiting Aβ degradation via competition with insulin for degradation by the insulin-degrading enzyme (IDE) [64], a zincmetallopeptidase that preferentially cleaves proteins with a propensity to form β-pleated sheet-rich amyloid fibrils, such as monomeric Aβ peptides [64].

Recent evidence suggests a role for insulin even in normal memory function, thereby supporting the hypothesis that insulin by itself affects mechanisms related to neuronal activity and cognitive function. Of particular interest to our research group, chronic hyperinsulinemia and insulin resistance, or reduced insulin effectiveness, has been demonstrated to negatively influence memory [65, 66]. For example, Hoyer [60] proposed that low concentrations in circulating insulin in the CNS, along with reduced expression of insulin receptors and subsequent altered downstream signaling in AD, would ultimately lead to reduced levels of acetylcholine and a corresponding decrease in cerebral blood flow.

Based on this evidence, and the fact that type 2 diabetes appears to be associated with an increased relative risk for AD [60, 63, 6567], we recently explored in our laboratory the role of experimental type 2 diabetes in a Tg2576 mouse model of AD amyloid neuropathology. We found that a diabetogenic diet, resulting in elevated circulating levels of insulin, promoted amyloidogenic Aβ1–40 and Aβ1–42 peptide generation and amyloid plaque burden in the brain of Tg2576 mice. This also corresponded with increased γ-secretase activities and decreased IDE activities. Moreover, the increased AD-type amyloid neuropathology also coincided with increased impairments in spatial memory function [68]. Further exploration of this interrelationship between insulin resistance and brain amyloidosis revealed a functional decrease in insulin receptor- (IR-) mediated signal transduction in the brain, as suggested by decreased IR β-subunit (IR-β Y1162/1163) autophosphorylation and reduced phosphatidylinositol 3 (Pl3)-kinase/pS473-AKT/protein kinase- (PK-) B in these same brain samples [68]. This study collectively suggests that diet-induced insulin resistance in AD mice may significantly promote AD-type amyloidosis in the brain through mechanisms involving the elevation of γ-secretase activity as a result of impaired IR signaling and also that type 2 diabetes may contribute to AD amyloid pathology by attenuating the degradation of Aβ peptide pathways associated with IDEs.

Interestingly, a later study by Li and colleagues [69] explored whether AD-type pathological changes in the brain occur in two experimental rat models which develop type 1 and type 2 diabetes. They found accumulations of β-amyloid and phosphor-tau in these mice and that these pathologies were associated with neurite degeneration and neuronal loss. Changes in the rat model of type 2 diabetes were more severe and appeared to be associated with insulin resistance and possibly hypercholesterolemia. Additionally, Huang and colleages [70] found that compared to normal mice, a mouse model of hyperglycemia was more vulnerable to β-amyloid oxidative stress. These findings further support the role of insulin and insulin resistance in AD neuropathology and provide evidence that preventing diabetic conditions may in turn help to prevent AD dementia.

5. Hypertension and AD

Several studies have demonstrated an association between high blood pressure and AD [7173]. It has been suggested that hypertension can increase one’s risk for AD by potentially causing cerebrovascular disease or changes in blood vessel walls (which could lead to hypoperfusion, ischemia, and hypoxia), among other conditions, which can potentially initiate the pathological degenerative AD process. Additionally, subclinical AD has also been suggested as a risk factor for high blood pressure; thus, similar biological mechanisms may be involved in the pathogenesis of these two conditions [74].

The relationship between cognitive function and antihypertensive drug therapy has been investigated in several studies of hypertensive elderly human patients. For example, Guo and colleagues [75] found that a combination of certain calcium channel and β-adrenergic blockers used as antihypertensive agents protected elderly individuals from developing AD. Similarly, other studies have demonstrated that certain calcium channel blockers, such as dihydropyricine [76] and nitrendipine [77], decreased the incidence of AD in hypertensive individuals. Further, it has also been found that antihypertensive drugs that are K+-sparing diuretics, in particular, reduce the risk of AD in elderly individuals with hypertension [78]. Moreover, it was demonstrated that antihypertensive agents that cross the BBB and affect the rennin-angiotensin-aldosterone system (including perindopril or losartan), or brain calcium metabolism (like nitrendipine), provide additional protection against cognitive decline in addition to blood pressure control. All of these studies suggest a neuroprotective effect of certain antihypertensive agents.

In light of these findings, animal studies in our laboratory have shown that the application of certain antihypertensive drugs can improve cognition in animal models of AD. We conducted a high-throughput drug screening of 55 commercially available antihypertensive drugs and found 7 candidate agents that significantly reduced AD-type Aβ accumulation in the brains of Tg2576 mice. Of these 7 drugs, we found that valsartan, an angiotensin receptor blocker, attenuated the oligomerization of Aβ into high-molecular-weight (HMW) oligomeric peptides (known to be involved in cognitive deterioration) in vitro and reduced the content of soluble HMW oligomeric Aβ in the brain in preventive studies. Additionally, we also found that valsartan, delivered at a dose 2-fold lower than the equivalent clinical dosage used in humans for hypertension, significantly attenuated the development of Aβ-mediated cognitive deterioration [79]. Another in vitro study in this line of investigation revealed that the antihypertensive drugs furosemide, nitrendipine, and candesartan cilexetil prevented Aβ1–40 and Aβ1–42 oligomerization and that furosemide in particular dissociated preaggregated Aβ1–42 oligomers; follow-up studies revealed that short-term treatment with furosemide in Tg2576 mice resulted in reduced Aβ content in the brain [80]. Most recently, we have investigated the potential beneficial effects of carvedilol, a nonselective α/β-adrenergic receptor blocker used to treat hypertension, on AD pathogenesis and treatment in two AD mouse models. We found that chronic oral treatment with carvedilol significantly attenuated brain contents of oligomeric Aβ and cognitive deterioration in two mouse models of AD (the Tg2576 model of β-amyloidosis and TgCRND8 model of tauopathy), which coincided with improvements in neuronal transmission and the maintenance of less stable “learning” thin dendritic spines (associated with learning and memory functions) in the brains of these AD mice [81]. A related study in our laboratory investigated the benefits of carvedilol in AD on an electrophysiological parameter of learning and memory, long-term potentiation (LTP), as assessed in the TgCRND8 mouse model [82]. In this ex vivo study, hippocampal slices from carvedilol-treated TgCRND8 mice chronically treated with carvedilol showed improved basal neurotransmission and improved LTP, relative to slices from nontreated TgCRND8 mice, indicating that carvedilol improves neuroplasticity in this mouse model of AD.

Collectively, these studies suggest a clear link between hypertensive conditions and AD and, importantly, that antihypertensive agents may benefit AD. In turn, these studies also indicate that taking dietary precautions to prevent hypertension may, in turn, reduce one’s risk for AD.

A large area of research in the field of neurodegeneration has been focused on the role of specific foods and food components in the neurodegenerative process. Luchsinger et al. [65, 66] posited that taking nutritional supplements alone (e.g., carotenoids versus carrots) might not be as effective as whole foods in providing nutrients, perhaps because the interaction of nutrients within whole foods or certain dietary patterns might contribute largely to any food’s benefit. As an example, one study [83] demonstrated that plant-based low-fat diets might be superior to low-fat diets containing little plant-based food intake (e.g., lower consumption of fruits, vegetables, nuts, etc.), even if the two diets have identical contents of fat, protein, carbohydrates, and cholesterol. The authors further noted that the beneficial effect of low-density lipoprotein (LDL) cholesterol in one’s diet should not be underestimated.

One food of high interest in the AD prevention field has been fish. For example, researchers have investigated the benefits of certain omega-3 fatty acids found in fish and fish oils, specifically docosohexaenoic acid (DHA) and eicosapentaenoic acid, which have been shown to affect psychiatric and behavioral symptoms in AD, as demonstrated in animal studies and in human epidemiological studies [84, 85]. In this line of research, Lim and colleagues [86] demonstrated that DHA-enriched diets significantly reduced AD-type amyloid neuropathology by approximately 70%, including a decrease in Aβ1–42 levels, compared to low-DHA or control diets, in a mouse model of AD. Moreover, Hashimoto and colleagues [87] studied the effects of DHA on AD-type pathology following 12 weeks of DHA administration and found that DHA treatment led to a decreased number of working memory errors in Aβ-infused rats in addition to an increase in corticohippocampal DHA levels and in the molar ratio of DHA/arachidonic acid, suggesting that DHA treatment attenuated impaired spatial cognition and learning abilities. They further demonstrated that DHA suppressed increases in levels of lipid peroxide and reactive oxygen species in the cerebral cortex and hippocampus of these Aβ-infused rats, which suggested that DHA may also increase antioxidative defenses. These findings collectively demonstrated DHA’s potential as a therapeutic agent in AD.

Another area of interest to researchers has been the benefits of certain plant extracts and spices in AD. In traditional Asian medicine, various leaves, fruits, barks, roots, and so forth have been used as agents to improve memory functions. In Ayurvedic medicine (a traditional system of Indian medicine), for example, Bacopa monnieri, Centella asiatica, Withania somnifera, Glycrrhiza glabra, Acorus calamus, and Emblica officinalis have been considered to enhance one’s memory. Based on this notion, various laboratories have tested some of these memory-enhancing compounds in mouse models of AD. Mulberry leaf, for example, has been shown to inhibit Aβ1–42 fibril formation and protect hippocampal neurons from Aβ1–42-induced cell death in a concentration-dependent manner [88]. Additionally, in a screening of 27 herbs for their ability to protect Aβ1–42-induced neuronal death, Curcuma aromatia and Zingiber officinale (ginger) extracts were found to most effectively protect neurons. Several other herbs were also found to be neuroprotective (such as Ginkgo biloba (Ginkgo), Polygonatum sp. (King Solomon’s seal), Cinnamum cassia (Chinese cinnamon), and Rheum coreanum (Korean rhubarb)), but did not exert as potent effects [89].

Ginkgo biloba extract in particular has been heavily investigated for its use as a preventive and therapeutic agent in AD. It has been shown to exhibit neuroprotective effects in several mouse models [90] and improve cognitive function in AD patients [91, 92]. Several studies have demonstrated the mechanisms by which Ginkgo biloba extract may benefit AD. For example, it has been shown to improve age-related memory deficits and Aβ-peptide burden, act as a nitric oxide scavenger [93, 94], and regulate APP metabolism toward the α-secretase pathway [95]. Ginkgo biloba extract has also been shown to inhibit Aβ-induced free radical generation in a dose-dependent manner [96]. Further, Yao and colleagues [97] examined a specific Ginkgo biloba extract EGb761 in relation to cholesterol and amyloidogenesis and found that EGb761 treatment reduced APP and Aβ generation coincidental with decreased levels of free circulating cholesterol in in vivo (in rats) and in vitro studies. Moreover, Lee and colleagues [98] investigated ginkgolides A and B for their effect on Aβ-modulated acetylcholine release from hippocampal brain slices and found that ginkgolide B may produce antiamnestic effects by mitigating Aβ peptides’ inhibitory effect on cholinergic transmission. These studies have provided evidence supporting further investigation of Ginkgo biloba extract in AD.

Another plant extract, curcumin, a polyphenolic yellow pigment in the turmeric spice used in Indian curries and in Indian herbal medicine, has been investigated for its potential use in AD prevention and therapy. Epidemiological studies demonstrated that the prevalence of AD in individuals 70–79 years of age is 4.4-fold less in the India compared to the U.S. [99]. The curcumin compound (1,7-bis(4-hydroxy-3-methoxyphenyl)-1,6 heptadiene-2,5 dione) has been shown to be neuroprotective against Aβ toxicity in vitro [100], antiamyloidogenic [101, 102], and capable of reducing brain amyloid load and plaque burden [103]. Spectrophotometric studies have suggested that curcumin binds to the more readily redox-reactive metals Cu and Fe, but does not bind to Zn, and, in turn, acts as an antioxidant by chelating the redox active metal ions in the body [104]. Lim and colleagues [105] found that dietary curcumin treatment in AD mice significantly lowered levels of oxidized proteins, interleukin-1 β (a proinflammatory cytokine elevated in these mice), and insoluble and soluble Aβ in the brain and reduced amyloid plaque burden by 43%–50%.

Several other spices have been investigated for their role in AD. For example, aged garlic extract has been shown in vitro to suppress the generation of reactive oxygen species, which are known to be involved in apoptosis as a result of Aβ-mediated neurotoxicity [106], suggesting that garlic compounds may enhance antioxidant defenses in the brain. Additional in vitro evidence demonstrated that garlic treatment inhibits caspase-3 in a dose-dependent manner, which indicates that garlic may inhibit apoptotic neuronal death in the brain [107]. Another spice of interest to researchers as been Crocus sativus, or saffron, due to its unusually polar carotenoid components. Notable, certain saffron extracts have been shown to inhibit Aβ fibrillogenesis [108]. Further research on these extracts may illuminate precise mechanisms of action on AD neuropathology and their potential as preventive or therapeutic agents in AD.

6.1. Fruit Juices and Wine

Polyphenols, the most abundant dietary antioxidants, have been heavily investigated for their ability to provide neuroprotection against oxidative damage in the brain. One study that propagated research on polyphenols in AD, conducted by Dai and colleagues [109], revealed that long-term fruit juice consumption can reduce one’s risk for AD. The investigators suggested that the neuroprotective effects of fruit juices can be enhanced by consuming a combination of juices that are rich in phenolic compounds, which include juices derived from purple grapes, grapefruit, cranberries, and apples.

Several studies have examined the effects of certain fruit juices and extracts on AD. For example, apple juice was shown to prevent Aβ-induced oxidative damage in vitro [110], and blueberry treatment has been found to reverse the effects of aging on motor behavior and neuronal signaling in animal models [111], possibly through mechanisms involving signal transduction, neuronal communication, and enhancement of hippocampal plasticity [112, 113]. Moreover, treatment with antioxidant-rich pomegranate juice has been shown to reduce Aβ1–42 content and amyloid deposition in the hippocampus by approximately 50% in mice. A study conducted by Mullen and colleagues [114] examined 13 different fruit juices and reported that purple grape juice contained the highest number of individual phenolic compounds in addition to the highest concentration of total phenolics. The main components found in purple grape juice, accounting for 93% of the total phenolic conent, were flavan-3-ols, anthocyanins, and hydroxycinnamates. White grape juice, on the contrary, containing mainly hydroxycinnamates, had the lowest phenolic content of the juices examined.

Resveratrol is a naturally occurring polyphenol, found in the skin of grapes and red wine as a result of exposure to fungi or bacteria, which has been investigated for its ability to neuroprotect. Resveratrol has been demonstrated to maintain cell viability, exert antioxidant activity, exert proteasome-dependent antiamyloidogenic activity, and attenuate Aβ-induced cytotoxicity in PC12 cells in vitro [115117]. Importantly, resveratrol is also understood to activate the expression of sirtuins, often referred to as the “longevity gene,” in yeast [118] and in mammalian animal models of neurodegeneration [119, 120]—this resveratrol-induced sirtuin activation has been shown to promote neuroprotective activities against neuronal apoptosis. However, given recent evidence suggesting that resveratrol may not directly activate sirtuins [121], it is not quite clear if sirtuin activation plays a role in resveratrol’s observed benefits in AD-type neuropathology. Further research will certainly illuminate resveratrol’s bioactivity and the mechanisms through which it benefits AD.

Several studies have suggested that moderate red wine consumption reduces the incidence of AD clinical dementia [65, 66, 115, 122124] and may even benefit the course of AD [125]. Derived from red grapes, red wine is rich in antioxidants and holds neuroprotective properties. Studies in our laboratory, using an AD mouse model, examined whether moderate consumption of the red wine cabernet sauvignon (the most polyphenol-rich red wine, likely due to increased inclusion of grape skins) reduces AD-type neuropathology and cognitive deterioration. We found that cabernet sauvignon treatment was capable of attenuating AD-type cognitive deterioration and Aβ neuropathology by mechanisms involving nonamyloidogenic processing of APP, ultimately inhibiting Aβ generation [126, 127].

6.2. Grape Seed Polyphenolic Extract

Another area of investigation of high interest in the AD field has been the potential beneficial role of grape seed polyphenolic extract (GSPE) in attenuating AD-type neuropathology and cognitive impairments. Studies in our laboratory have investigated a specific GSPE (MegaNatural), which is comprised primarily of catechin and epicatechin in monomeric, oligomeric, and polymeric forms, is readily absorbed through the intestinal mucosua due to modification of the constituent polyphenols in its preparation and has been demonstrated to be safe in animal models [128131] and in humans with pre-hypertensive conditions [132]. In an initial investigation in a mouse model of AD [129], mice were treated for 5 months with 200 mg/kg/day GSPE in drinking water (equivalent to 1 g/day in humans, according to Food and Drug Administration criteria for converting drug dosages across species), after which in vitro and in vitro assessments were conducted at 6 (for behavior) and 10 (for neuropathology) months. In vitro studies revealed that GSPE prevented Aβ peptides from aggregating into high molecular weight (HMW) oligomers, and in vivo studies showed that GSPE treatment significantly reduced Aβ1–40 and Aβ1–42 peptide and HMW Aβ oligomer levels and amyloid plaque burden in the brain, relative to age- and gender-matched water-treated mice. Moreover, GSPE-treated mice also performed significantly better tests of cognitive function compared to age- and gender-matched water treated mice. A follow-up mechanistic study [130] investigated in vitro GSPE’s ability to alter the assembly of Aβ1–40 and Aβ1–42 oligomers and Aβ-induced cytotoxicity in Aβ-treated PC12 cells; these studies revealed that GSPE blocked Aβ protofibril formation, preprotofibrillar oligomerization, and the structure transition from initial coil to α-helix/β-sheet. Additionally, GSPE exerted protective activities in assays of Aβ-induced cytoxicity (prior to peptide assembly, following assembly, and just prior to peptide addition in cells). These studies collectively suggest a neuroprotective and possibly therapeutic role of GSPE in AD-type Aβ neuropathology and cognitive deterioration.

To follow this line of work, we also investigated in vitro the potential beneficial role of GSPE on AD-type tau neuropathology [133], another major hallmark of AD. Using an in vitro model system, we found that GSPE treatment significantly inhibited the aggregation of tau peptides into filaments and was also capable of dissociating preformed tau aggregates. This finding suggests that GSPE treatment may attenuate deposits of tau aggregates in the AD brain.

In light of our evidence that GSPE was capable of attenuating Aβ and tau pathology, we next explored GSPE bioavailability [131] to further assess its potential as an AD treatment. We found that acute oral administration of GSPE in Sprague Dawley rats led to detectable contents of catechin, epicatechin and their metabolites in the brain. Following repeated GSPE exposure, we detected accumulations of catechin, epicatechin, and gallic acid and their metabolites in the blood and similarly, catechin and epicatechin and their metabolites in the brain.

These studies, which demonstrate GSPE’s ability to attenuate AD-type Aβ pathology in vivo and in vitro and tau pathology in vitro, combined with its demonstrated safety and bioavailability, support the continued development of GSPE as a treatment for Aβ- and tau-mediated neurodegeneration and cognitive impairments.

Collectively, epidemiological and experimental research has demonstrated that dietary choices can play a key role in the prevention of AD and dementia. For example, much of the research described here suggest that preventing and managing conditions such as diabetes, hypertension, obesity, and heart disease may in turn prevent the onset of pathological aging and dementia. Research from our laboratory and others has demonstrated that reducing calorie intake can help prevent AD and similarly, given the demonstrated relationship between diabetogenic conditions and AD, that preventing diabetes (perhaps by limiting one’s glucose intake) may also decrease one’s risk for AD. Moreover, studies have demonstrated that consuming foods that are rich in polyphenols, such as blueberries or grapes, may also prevent AD and cognitive deterioration, perhaps through their antioxidant and antiamyloidogenic activities. Based on the evidence described, it seems possible that in the near future, we may be able to utilize our knowledge of AD prevention through dietary changes and work toward intensive dietary intervention(s) that might be capable of preventing or treating AD.

However, when reviewing this body of scientific literature, one must understand that this area of research is still in its infancy, and further research must be conducted before making any dietary recommendations to the general public for preventing neurodegenerative conditions of aging. For example, conditions such as AD are chronic and have a long latency period, and conducting clinical trials for dietary interventions under such circumstances, over long enough periods of time and on large enough samples to draw accurate and repeatable conclusions, would be a highly complex endeavor. Moreover, any dietary recommendations made toward this aim must always be incorporated into a general healthy diet. Future research on dietary lifestyles and their role in the prevention or treatment of dementia will certainly elucidate which diets and foods are capable of exerting neuroprotective activities, in what quantities, and by what mechanism(s) of action.

The current medical model for preventing and treating neurodegenerative conditions such as AD lacks a “whole organism” approach. For example, the onset of AD is likely a result of genomic and proteomic factors, but also psychosocial and lifestyle factors, such as nutrient intake or levels of stress. Today, Medicare and other insurers and individuals will pay billions of dollars for various surgical and medical procedures to treat chronic conditions (such as heart disease or diabetes), and yet they pay very little for integrative and preventive medicine approaches (such as alterations in diet) that can prevent or reverse many chronic conditions. By further investigating the role that dietary choices may play in AD and other dementias and diseases of aging, we will work toward the utilization of an integrative approach to medicine, taking into account all aspects of an individual’s lifestyle when working toward the maintenance and curing of chronic diseases.


  1. R. Brookmeyer, S. Gray, and C. Kawas, “Projections of Alzheimer's disease in the United States and the public health impact of delaying disease onset,” American Journal of Public Health, vol. 88, no. 9, pp. 1337–1342, 1998. View at: Google Scholar
  2. D. J. Selkoe, “Alzheimer's disease: genes, proteins, and therapy,” Physiological Reviews, vol. 81, no. 2, pp. 741–766, 2001. View at: Google Scholar
  3. F. M. LaFerla, K. N. Green, and S. Oddo, “Intracellular amyloid-β in Alzheimer's disease,” Nature Reviews Neuroscience, vol. 8, no. 7, pp. 499–509, 2007. View at: Publisher Site | Google Scholar
  4. C. Haass, M. G. Schlossmacher, A. Y. Hung et al., “Amyloid β-peptide is produced by cultured cells during normal metabolism,” Nature, vol. 359, no. 6393, pp. 322–325, 1992. View at: Publisher Site | Google Scholar
  5. M. Shoji, T. E. Golde, J. Ghiso et al., “Production of the Alzheimer amyloid β protein by normal proteolytic processing,” Science, vol. 258, no. 5079, pp. 126–129, 1992. View at: Google Scholar
  6. J. Busciglio, D. H. Gabuzda, P. Matsudaira, and B. A. Yankner, “Generation of β-amyloid in the secretory pathway in neuronal and nonneuronal cells,” Proceedings of the National Academy of Sciences of the United States of America, vol. 90, no. 5, pp. 2092–2096, 1993. View at: Google Scholar
  7. T. E. Golde, C. B. Eckman, and S. G. Younkin, “Biochemical detection of Aβ isoforms: implications for pathogenesis, diagnosis, and treatment of Alzheimer's disease,” Biochimica et Biophysica Acta—Molecular Basis of Disease, vol. 1502, no. 1, pp. 172–187, 2000. View at: Publisher Site | Google Scholar
  8. K. Mi and G. V. W. Johnson, “The role of tau phosphorylation in the pathogenesis of Alzheimer's disease,” Current Alzheimer Research, vol. 3, no. 5, pp. 449–463, 2006. View at: Publisher Site | Google Scholar
  9. N. Sahara, S. Maeda, and A. Takashima, “Tau oligomerization: a role for tau aggregation intermediates linked to neurodegeneration,” Current Alzheimer Research, vol. 5, no. 6, pp. 591–598, 2008. View at: Publisher Site | Google Scholar
  10. M. D. Weingarten, A. H. Lockwood, S. Y. Hwo, and M. W. Kirschner, “A protein factor essential for microtubule assembly,” Proceedings of the National Academy of Sciences of the United States of America, vol. 72, no. 5, pp. 1858–1862, 1975. View at: Google Scholar
  11. G. Sorrentino and V. Bonavita, “Neurodegeneration and Alzheimer's disease: the lesson from tauopathies,” Neurological Sciences, vol. 28, no. 2, pp. 63–71, 2007. View at: Publisher Site | Google Scholar
  12. P. Bubber, V. Haroutunian, G. Fisch, J. P. Blass, and G. E. Gibson, “Mitochondrial abnormalities in Alzheimer brain: mechanistic implications,” Annals of Neurology, vol. 57, no. 5, pp. 695–703, 2005. View at: Publisher Site | Google Scholar
  13. M. J. Picklo Sr. and T. J. Montine, “Mitochondrial effects of lipid-derived neurotoxins,” Journal of Alzheimer's Disease, vol. 12, no. 2, pp. 185–193, 2007. View at: Google Scholar
  14. J. Viña, A. Lloret, S. L. Vallès et al., “Effect of gender on mitochondrial toxicity of Alzheimer's Aβ peptide,” Antioxidants and Redox Signaling, vol. 9, no. 10, pp. 1677–1690, 2007. View at: Publisher Site | Google Scholar
  15. A. P. Haley, J. Knight-Scott, V. I. Simnad, and C. A. Manning, “Increased glucose concentration in the hippocampus in early Alzheimer's disease following oral glucose ingestion,” Magnetic Resonance Imaging, vol. 24, no. 6, pp. 715–720, 2006. View at: Publisher Site | Google Scholar
  16. J. M. Torpy, C. Lynm, and R. M. Glass, “JAMA patient page. The metabolic syndrome,” Journal of the American Medical Association, vol. 295, no. 7, p. 850, 2006. View at: Publisher Site | Google Scholar
  17. I. J. Martins, E. Hone, J. K. Foster et al., “Apolipoprotein E, cholesterol metabolism, diabetes, and the convergence of risk factors for Alzheimer's disease and cardiovascular disease,” Molecular Psychiatry, vol. 11, no. 8, pp. 721–736, 2006. View at: Publisher Site | Google Scholar
  18. P. C. Reid, Y. Urano, T. Kodama, and T. Hamakubo, “Alzheimer's disease: cholesterol, membrane rafts, isoprenoids and statins,” Journal of Cellular and Molecular Medicine, vol. 11, no. 3, pp. 383–392, 2007. View at: Publisher Site | Google Scholar
  19. A. H. Mokdad, M. K. Serdula, W. H. Dietz, B. A. Bowman, J. S. Marks, and J. P. Koplan, “The spread of the obesity epidemic in the United States, 1991–1998,” Journal of the American Medical Association, vol. 282, no. 16, pp. 1519–1522, 1999. View at: Publisher Site | Google Scholar
  20. K. M. Flegal and R. P. Troiano, “Changes in the distribution of body mass index of adults and children in the US population,” International Journal of Obesity and Related Metabolic Disorders, vol. 24, no. 7, pp. 807–818, 2000. View at: Google Scholar
  21. N. Pannacciulli, A. Del Parigi, K. Chen, D. S. N. T. Le, E. M. Reiman, and P. A. Tataranni, “Brain abnormalities in human obesity: a voxel-based morphometric study,” NeuroImage, vol. 31, no. 4, pp. 1419–1425, 2006. View at: Publisher Site | Google Scholar
  22. R. A. Whitmer, E. P. Gunderson, E. Barrett-Connor, C. P. Quesenberry Jr., and K. Yaffe, “Obesity in middle age and future risk of dementia: a 27 year longitudinal population based study,” British Medical Journal, vol. 330, no. 7504, pp. 1360–1362, 2005. View at: Publisher Site | Google Scholar
  23. K. Balakrishnan, G. Verdile, P. D. Mehta et al., “Plasma Aβ1-42 correlates positively with increased body fat in healthy individuals,” Journal of Alzheimer's Disease, vol. 8, no. 3, pp. 269–282, 2005. View at: Google Scholar
  24. M. O. Dietrich, C. Spuch, D. Antequera et al., “Megalin mediates the transport of leptin across the blood-CSF barrier,” Neurobiology of Aging, vol. 29, no. 6, pp. 902–912, 2007. View at: Publisher Site | Google Scholar
  25. D. C. Fewlass, K. Noboa, F. X. Pi-Sunyer, J. M. Johnston, S. D. Yan, and N. Tezapsidis, “Obesity-related leptin regulates Alzheimer's Aβ,” Journal of the Federation of American Societies for Experimental Biology, vol. 18, no. 15, pp. 1870–1878, 2004. View at: Publisher Site | Google Scholar
  26. J. A. Luchsinger, M. X. Tang, S. Shea, and R. Mayeux, “Caloric intake and the risk of Alzheimer disease,” Archives of Neurology, vol. 59, no. 8, pp. 1258–1263, 2002. View at: Publisher Site | Google Scholar
  27. D. Gustafson, E. Rothenberg, K. Blennow, B. Steen, and I. Skoog, “An 18-year follow-up of overweight and risk of Alzheimer disease,” Archives of Internal Medicine, vol. 163, no. 13, pp. 1524–1528, 2003. View at: Publisher Site | Google Scholar
  28. M. P. Mattson, “Will caloric restriction and folate protect against AD and PD?” Neurology, vol. 60, no. 4, pp. 690–695, 2003. View at: Google Scholar
  29. V. K. M. Halagappa, Z. Guo, M. Pearson et al., “Intermittent fasting and caloric restriction ameliorate age-related behavioral deficits in the triple-transgenic mouse model of Alzheimer's disease,” Neurobiology of Disease, vol. 26, no. 1, pp. 212–220, 2007. View at: Publisher Site | Google Scholar
  30. P. Wu, Q. Shen, S. Dong, Z. Xu, J. Z. Tsien, and Y. Hu, “Calorie restriction ameliorates neurodegenerative phenotypes in forebrain-specific presenilin-1 and presenilin-2 double knockout mice,” Neurobiology of Aging, vol. 29, no. 10, pp. 1502–1511, 2008. View at: Publisher Site | Google Scholar
  31. K. Hsiao, P. Chapman, S. Nilsen et al., “Correlative memory deficits, Aβ elevation, and amyloid plaques in transgenic mice,” Science, vol. 274, no. 5284, pp. 99–102, 1996. View at: Publisher Site | Google Scholar
  32. J. Wang, L. Ho, W. Qin et al., “Caloric restriction attenuates β-amyloid neuropathology in a mouse model of Alzheimer's disease,” Journal of the Federation of American Societies for Experimental Biology, vol. 19, no. 6, pp. 659–661, 2005. View at: Publisher Site | Google Scholar
  33. K. A. Meckling, C. O'Sullivan, and D. Saari, “Comparison of a low-fat diet to a low-carbohydrate diet on weight loss, body composition, and risk factors for diabetes and cardiovascular disease in free-living, overweight men and women,” Journal of Clinical Endocrinology and Metabolism, vol. 89, no. 6, pp. 2717–2723, 2004. View at: Publisher Site | Google Scholar
  34. L. Stern, N. Iqbal, P. Seshadri et al., “The Effects of low-carbohydrate versus conventional weight loss diets in severely obese adults: one-year follow-up of a randomized trial,” Annals of Internal Medicine, vol. 140, no. 10, pp. 778–785, 2004. View at: Google Scholar
  35. W. S. Yancy Jr., M. K. Olsen, J. R. Guyton, R. P. Bakst, and E. C. Westman, “A low-carbohydrate, ketogenic diet versus a low-fat diet to treat obesity and hyperlipidemia: a randomized, controlled trial,” Annals of Internal Medicine, vol. 140, no. 10, pp. 769–777, 2004. View at: Google Scholar
  36. M. Vanhanen and H. Soininen, “Glucose intolerance, cognitive impairment and Alzheimer's disease,” Current Opinion in Neurology, vol. 11, no. 6, pp. 673–677, 1998. View at: Publisher Site | Google Scholar
  37. S. Gandy, “Molecular basis for anti-amyloid therapy in the prevention and treatment of Alzheimer's disease,” Neurobiology of Aging, vol. 23, no. 6, pp. 1009–1016, 2002. View at: Publisher Site | Google Scholar
  38. J. L. Cummings, “Alzheimer's disease,” The New England Journal of Medicine, vol. 351, no. 1, pp. 56–57, 2004. View at: Google Scholar
  39. L. Gan, “Therapeutic potential of sirtuin-activating compounds in Alzheimer's disease,” Drug News and Perspectives, vol. 20, no. 4, pp. 233–239, 2007. View at: Publisher Site | Google Scholar
  40. J. Chen, Y. Zhou, S. Mueller-Steiner et al., “SIRT1 protects against microglia-dependent amyloid-β toxicity through inhibiting NF-κB signaling,” Journal of Biological Chemistry, vol. 280, no. 48, pp. 40364–40374, 2005. View at: Publisher Site | Google Scholar
  41. W. Qin, T. Yang, L. Ho et al., “Neuronal SIRT1 activation as a novel mechanism underlying the prevention of alzheimer disease amyloid neuropathology by calorie restriction,” Journal of Biological Chemistry, vol. 281, no. 31, pp. 21745–21754, 2006. View at: Publisher Site | Google Scholar
  42. W. Qin, M. Chachich, M. Lane et al., “Calorie restriction attenuates Alzheimer's disease type brain amyloidosis in Squirrel monkeys (Saimiri sciureus),” Journal of Alzheimer's Disease, vol. 10, no. 4, pp. 417–422, 2006. View at: Google Scholar
  43. J. M. Burns, J. E. Donnelly, H. S. Anderson et al., “Peripheral insulin and brain structure in early Alzheimer disease,” Neurology, vol. 69, no. 11, pp. 1094–1104, 2007. View at: Publisher Site | Google Scholar
  44. L. Li and C. Hölscher, “Common pathological processes in Alzheimer disease and type 2 diabetes: a review,” Brain Research Reviews, vol. 56, no. 2, pp. 384–402, 2007. View at: Publisher Site | Google Scholar
  45. R. A. Whitmer, “The epidemiology of adiposity and dementia,” Current Alzheimer Research, vol. 4, no. 2, pp. 117–122, 2007. View at: Publisher Site | Google Scholar
  46. G. J. S. Cooper, A. C. Willis, A. Clark, R. C. Turner, R. B. Sim, and K. B. M. Reid, “Purification and characterization of a peptide from amyloid-rich pancreases of type 2 diabetic patients,” Proceedings of the National Academy of Sciences of the United States of America, vol. 84, no. 23, pp. 8628–8632, 1987. View at: Google Scholar
  47. P. Westermark, C. Wernstedt, E. Wilander, D. W. Hayden, T. D. O’Brien, and K. H. Johnson, “Amyloid fibrils in human insulinoma and islets of Langerhans of the diabetic cat are derived from a neuropeptide-like protein also present in normal islet cells,” Proceedings of the National Academy of Sciences of the United States of America, vol. 84, no. 11, pp. 3881–3885, 1987. View at: Google Scholar
  48. K. H. Johnson, T. D. O'Brien, D. W. Hayden et al., “Immunolocalization of islet amyloid polypeptide (IAPP) in pancreatic beta cells by means of peroxidase-antiperoxidase (PAP) and protein A-gold techniques,” American Journal of Pathology, vol. 130, no. 1, pp. 1–8, 1988. View at: Google Scholar
  49. G. G. Glenner, E. D. Eanes, and C. A. Wiley, “Amyloid fibrils formed from a segment of the pancreatic islet amyloid protein,” Biochemical and Biophysical Research Communications, vol. 155, no. 2, pp. 608–614, 1988. View at: Google Scholar
  50. W. Xu, C. Qiu, B. Winblad, and L. Fratiglioni, “The effect of borderline diabetes on the risk of dementia and Alzheimer's disease,” Diabetes, vol. 56, no. 1, pp. 211–216, 2007. View at: Publisher Site | Google Scholar
  51. W. H. Gispen and G. J. Biessels, “Cognition and synaptic plasticity in diabetes mellitus,” Trends in Neurosciences, vol. 23, no. 11, pp. 542–549, 2000. View at: Publisher Site | Google Scholar
  52. D. Knopman, L. L. Boland, T. Mosley et al., “Cardiovascular risk factors and cognitive decline in middle-aged adults,” Neurology, vol. 56, no. 1, pp. 42–48, 2001. View at: Google Scholar
  53. C. M. Ryan, “Neurobehavioral complications of type I diabetes. Examination of possible risk factors,” Diabetes Care, vol. 11, no. 1, pp. 86–93, 1988. View at: Google Scholar
  54. M. W. J. Strachan, I. J. Deary, F. M. E. Ewing, and B. M. Frier, “Is type II diabetes associated with an increased risk of cognitive dysfunction? A critical review of published studies,” Diabetes Care, vol. 20, no. 3, pp. 438–445, 1997. View at: Google Scholar
  55. A. M. A. Brands, G. J. Biessels, E. H. F. De Haan, L. J. Kappelle, and R. P. C. Kessels, “The effects of type 1 diabetes on cognitive performance: a meta-analysis,” Diabetes Care, vol. 28, no. 3, pp. 726–735, 2005. View at: Publisher Site | Google Scholar
  56. L. Gasparini, W. J. Netzer, P. Greengard, and H. Xu, “Does insulin dysfunction play a role in Alzheimer's disease?” Trends in Pharmacological Sciences, vol. 23, no. 6, pp. 288–293, 2002. View at: Publisher Site | Google Scholar
  57. E. M. Mandelkow, G. Drewes, J. Biernat et al., “Glycogen synthase kinase-3 and the Alzheimer-like state of microtubule-associated protein tau,” Federation of European Biochemical Societies Letters, vol. 314, no. 3, pp. 315–321, 1992. View at: Publisher Site | Google Scholar
  58. D. C. Solano, M. Sironi, C. Bonfini, S. B. Solerte, S. Govoni, and M. Racchi, “Insulin regulates soluble amyloid precursor protein release via phosphatidyl inositol 3 kinase-dependent pathway,” Journal of the Federation of American Societies for Experimental Biology, vol. 14, no. 7, pp. 1015–1022, 2000. View at: Google Scholar
  59. L. Gasparini, G. K. Gouras, R. Wang et al., “Stimulation of β-amyloid precursor protein trafficking by insulin reduces intraneuronal β-amyloid and requires mitogen-activated protein kinase signaling,” Journal of Neuroscience, vol. 21, no. 8, pp. 2561–2570, 2001. View at: Google Scholar
  60. S. Hoyer, “The aging brain. Changes in the neuronal insulin/insulin receptor signal transduction cascade trigger late-onset sporadic Alzheimer disease (SAD),” Journal of Neural Transmission, vol. 109, no. 7–8, pp. 991–1002, 2002. View at: Publisher Site | Google Scholar
  61. C. Tamaki, S. Ohtsuki, and T. Terasaki, “Insulin facilitates the hepatic clearance of plasma amyloid β-peptide (1–40) by intracellular translocation of low-density lipoprotein receptor-related protein 1 (LRP-1) to the plasma membrane in hepatocytes,” Molecular Pharmacology, vol. 72, no. 4, pp. 850–855, 2007. View at: Publisher Site | Google Scholar
  62. S. M. de la Monte, M. Tong, N. Lester-Coll, M. Plater Jr., and J. R. Wands, “Therapeutic rescue of neurodegeneration in experimental type 3 diabetes: relevance to Alzheimer's disease,” Journal of Alzheimer's Disease, vol. 10, no. 1, pp. 89–109, 2006. View at: Google Scholar
  63. S. Craft and G. S. Watson, “Insulin and neurodegenerative disease: shared and specific mechanisms,” The Lancet Neurology, vol. 3, no. 3, pp. 169–178, 2004. View at: Publisher Site | Google Scholar
  64. W. Farris, S. Mansourian, Y. Chang et al., “Insulin-degrading enzyme regulates the levels of insulin, amyloid β-protein, and the β-amyloid precursor protein intracellular domain in vivo,” Proceedings of the National Academy of Sciences of the United States of America, vol. 100, no. 7, pp. 4162–4167, 2003. View at: Publisher Site | Google Scholar
  65. J. A. Luchsinger, M. X. Tang, S. Shea, and R. Mayeux, “Hyperinsulinemia and risk of Alzheimer disease,” Neurology, vol. 63, no. 7, pp. 1187–1192, 2004. View at: Google Scholar
  66. J. A. Luchsinger, M. X. Tang, M. Siddiqui, S. Shea, and R. Mayeux, “Alcohol intake and risk of dementia,” Journal of the American Geriatrics Society, vol. 52, no. 4, pp. 540–546, 2004. View at: Publisher Site | Google Scholar
  67. R. P. Stolk, M. M. B. Breteler, A. Ott et al., “Insulin and cognitive function in an elderly population the rotterdam study,” Diabetes Care, vol. 20, no. 5, pp. 792–795, 1997. View at: Google Scholar
  68. L. Ho, W. Qin, P. N. Pompl et al., “Diet-induced insulin resistance promotes amyloidosis in a transgenic mouse model of Alzheimer's disease,” Journal of the Federation of American Societies for Experimental Biology, vol. 18, no. 7, pp. 902–904, 2004. View at: Google Scholar
  69. Z. G. Li, W. Zhang, and A. A. F. Sima, “Alzheimer-like changes in rat models of spontaneous diabetes,” Diabetes, vol. 56, no. 2, pp. 1817–1824, 2007. View at: Google Scholar
  70. H. J. Huang, K. C. Liang, C. P. Chen, C. M. Chen, and H. M. Hsieh-Li, “Intrahippocampal administration of Aβ1-40 impairs spatial learning and memory in hyperglycemic mice,” Neurobiology of Learning and Memory, vol. 87, no. 4, pp. 483–494, 2007. View at: Publisher Site | Google Scholar
  71. I. Skoog and D. Gustafson, “Hypertension, hypertension-clustering factors and Alzheimer's disease,” Neurological Research, vol. 25, no. 6, pp. 675–680, 2003. View at: Publisher Site | Google Scholar
  72. K. M. Bellew, J. G. Pigeon, P. E. Stang, W. Fleischman, R. M. Gardner, and W. W. Baker, “Hypertension and the rate of cognitive decline in patients with dementia of the Alzheimer type,” Alzheimer Disease and Associated Disorders, vol. 18, no. 4, pp. 208–213, 2004. View at: Google Scholar
  73. F. C. Goldstein, A. V. Ashley, L. J. Freedman et al., “Hypertension and cognitive performance in African Americans with Alzheimer disease,” Neurology, vol. 64, no. 5, pp. 899–901, 2005. View at: Google Scholar
  74. I. Skoog and D. Gustafson, “Update on hypertension and Alzheimer's disease,” Neurological Research, vol. 28, no. 6, pp. 605–611, 2006. View at: Publisher Site | Google Scholar
  75. Z. Guo, M. Viitanen, B. Winblad, and L. Fratiglioni, “Low blood pressure and incidence of dementia in a very old sample: dependent on initial cognition,” Journal of the American Geriatrics Society, vol. 47, no. 6, pp. 723–726, 1999. View at: Google Scholar
  76. J. M. López-Arrieta and J. Birks, “Nimodipine for primary degenerative, mixed and vascular dementia,” Cochrane Database of Systematic Reviews, no. 3, Article ID CD000147, 2002. View at: Google Scholar
  77. F. Forette, M. L. Seux, J. A. Staessen et al., “The prevention of dementia with antihypertensive treatment: new evidence from the systolic hypertension in Europe (syst-eur) study,” Archives of Internal Medicine, vol. 162, no. 18, pp. 2046–2052, 2002. View at: Publisher Site | Google Scholar
  78. A. S. Khachaturian, P. P. Zandi, C. G. Lyketsos et al., “Antihypertensive medication use and incident Alzheimer disease: the Cache County Study,” Archives of Neurology, vol. 63, no. 5, pp. 686–692, 2006. View at: Publisher Site | Google Scholar
  79. J. Wang, L. Ho, L. Chen et al., “Valsartan lowers brain β-amyloid protein levels and improves spatial learning in a mouse model of Alzheimer disease,” Journal of Clinical Investigation, vol. 117, no. 11, pp. 3393–3402, 2007. View at: Publisher Site | Google Scholar
  80. W. Zhao, J. Wang, L. Ho, D. B. Teplow, and G. M. Pasinetti, “Identification of antihypertensive drugs which inhibit amyloid-β protein oligomerization,” Journal of Alzheimer's Disease, vol. 16, no. 1, pp. 49–57, 2009. View at: Publisher Site | Google Scholar
  81. J. Wang, K. Ono, D. L. Dickstein et al., “Carvedilol as a potential novel agent for the treatment of Alzheimer's disease,” Neurobiology of Aging. In press. View at: Publisher Site | Google Scholar
  82. I. Arrieta-Cruz, J. Wang, C. Pavlides, and G. M. Pasinetti, “Carvedilol reestablishes long-term potentiation in a mouse model of Alzheimer's disease,” Journal of Alzheimer's Disease, vol. 21, no. 2, pp. 649–654, 2010. View at: Publisher Site | Google Scholar
  83. C. D. Gardner, A. Coulston, L. Chatterjee, A. Rigby, G. Spiller, and J. W. Farquhar, “The effect of a plant-based diet on plasma lipids in hypercholesterolemic adults,” Annals of Internal Medicine, vol. 142, no. 9, pp. 725–733, 2005. View at: Google Scholar
  84. M. C. Morris, D. A. Evans, J. L. Bienias et al., “Consumption of fish and n-3 fatty acids and risk of incident Alzheimer disease,” Archives of Neurology, vol. 60, no. 7, pp. 940–946, 2003. View at: Publisher Site | Google Scholar
  85. G. Young and J. Conquer, “Omega-3 fatty acids and neuropsychiatric disorders,” Reproduction Nutrition Development, vol. 45, no. 1, pp. 1–28, 2005. View at: Publisher Site | Google Scholar
  86. G. P. Lim, F. Calon, T. Morihara et al., “A diet enriched with the omega-3 fatty acid docosahexaenoic acid reduces amyloid burden in an aged Alzheimer mouse model,” Journal of Neuroscience, vol. 25, no. 12, pp. 3032–3040, 2005. View at: Publisher Site | Google Scholar
  87. M. Hashimoto, Y. Tanabe, Y. Fujii, T. Kikuta, H. Shibata, and O. Shido, “Chronic administration of docosahexaenoic acid ameliorates the impairment of spatial cognition learning ability in amyloid β-infused rats,” Journal of Nutrition, vol. 135, no. 3, pp. 549–555, 2005. View at: Google Scholar
  88. T. Niidome, K. Takahashi, Y. Goto et al., “Mulberry leaf extract prevents amyloid beta-peptide fibril formation and neurotoxicity,” NeuroReport, vol. 18, no. 8, pp. 813–816, 2007. View at: Publisher Site | Google Scholar
  89. D. S. H. L. Kim, J. Y. Kim, and Y. S. Han, “Alzheimer's disease drug discovery from herbs: neuroprotectivity from β-amyloid (1-42) insult,” Journal of Alternative and Complementary Medicine, vol. 13, no. 3, pp. 333–340, 2007. View at: Publisher Site | Google Scholar
  90. F. V. Defeudis, “Bilobalide and neuroprotection,” Pharmacological Research, vol. 46, no. 6, pp. 565–568, 2002. View at: Publisher Site | Google Scholar
  91. B. S. Oken, D. M. Storzbach, and J. A. Kaye, “The efficacy of Ginkgo biloba on cognitive function in Alzheimer disease,” Archives of Neurology, vol. 55, no. 11, pp. 1409–1415, 1998. View at: Google Scholar
  92. P. L. Le Bars, F. M. Velasco, J. M. Ferguson, E. C. Dessain, M. Kieser, and R. Hoerr, “Influence of the severity of cognitive impairment on the effect of the Ginkgo biloba extract EGb 761® in Alzheimer's disease,” Neuropsychobiology, vol. 45, no. 1, pp. 19–26, 2002. View at: Publisher Site | Google Scholar
  93. S. Bastianetto, C. Ramassamy, S. Doré, Y. Christen, J. Poirier, and R. Quirion, “The Ginkgo biloba extract (EGb 761) protects hippocampal neurons against cell death induced by β-amyloid,” European Journal of Neuroscience, vol. 12, no. 6, pp. 1882–1890, 2000. View at: Publisher Site | Google Scholar
  94. Y. Luo, J. V. Smith, V. Paramasivam et al., “Inhibition of amyloid-β aggregation and caspase-3 activation by the Ginkgo biloba extract EGb761,” Proceedings of the National Academy of Sciences of the United States of America, vol. 99, no. 19, pp. 12197–12202, 2002. View at: Publisher Site | Google Scholar
  95. F. Colciaghi, B. Borroni, M. Zimmermann et al., “Amyloid precursor protein metabolism is regulated toward alpha-secretase pathway by Ginkgo biloba extracts,” Neurobiology of Disease, vol. 16, no. 2, pp. 454–460, 2004. View at: Publisher Site | Google Scholar
  96. Z. X. Yao, K. Drieu, and V. Papadopoulos, “The Ginkgo biloba extract EGb 761 rescues the PC12 neuronal cells from β-amyloid-induced cell death by inhibiting the formation of β-amyloid-derived diffusible neurotoxic ligands,” Brain Research, vol. 889, no. 1–2, pp. 181–190, 2001. View at: Publisher Site | Google Scholar
  97. Z. X. Yao, Z. Han, K. Drieu, and V. Papadopoulos, “Ginkgo biloba extract (Egb 761) inhibits β-amyloid production by lowering free cholesterol levels,” Journal of Nutritional Biochemistry, vol. 15, no. 12, pp. 749–756, 2004. View at: Publisher Site | Google Scholar
  98. T. F. Lee, C. F. Chen, and L. C. Wang, “Effect of ginkgolides on beta-amyloid-suppressed acetylocholine release from rat hippocampal slices,” Phytotherapy Research, vol. 18, no. 7, pp. 556–560, 2004. View at: Publisher Site | Google Scholar
  99. M. Ganguli, V. Chandra, M. I. Kamboh et al., “Apolipoprotein E polymorphism and Alzheimer disease: the Indo-US cross- national dementia study,” Archives of Neurology, vol. 57, no. 6, pp. 824–830, 2000. View at: Google Scholar
  100. S. Shishodia, G. Sethi, and B. B. Aggarwal, “Curcumin: getting back to the roots,” Annals of the New York Academy of Sciences, vol. 1056, pp. 206–217, 2005. View at: Publisher Site | Google Scholar
  101. M. Y. Aksenov and W. R. Markesbery, “Changes in thiol content and expression of glutathione redox system genes in the hippocampus and cerebellum in Alzheimer's disease,” Neuroscience Letters, vol. 302, no. 2–3, pp. 141–145, 2001. View at: Publisher Site | Google Scholar
  102. J. M. Ringman, S. A. Frautschy, G. M. Cole, D. L. Masterman, and J. L. Cummings, “A potential role of the curry spice curcumin in Alzheimer's disease,” Current Alzheimer Research, vol. 2, no. 2, pp. 131–136, 2005. View at: Publisher Site | Google Scholar
  103. F. Yang, G. P. Lim, A. N. Begum et al., “Curcumin inhibits formation of amyloid β oligomers and fibrils, binds plaques, and reduces amyloid in vivo,” Journal of Biological Chemistry, vol. 280, no. 7, pp. 5892–5901, 2005. View at: Publisher Site | Google Scholar
  104. L. Baum and A. Ng, “Curcumin interaction with copper and iron suggests one possible mechanism of action in Alzheimer's disease animal models,” Journal of Alzheimer's Disease, vol. 6, no. 4, pp. 367–377, 2004. View at: Google Scholar
  105. G. P. Lim, T. Chu, F. Yang, W. Beech, S. A. Frautschy, and G. M. Cole, “The curry spice curcumin reduces oxidative damage and amyloid pathology in an Alzheimer transgenic mouse,” Journal of Neuroscience, vol. 21, no. 21, pp. 8370–8377, 2001. View at: Google Scholar
  106. Q. Peng, A. R. Buz'Zard, and B. H. S. Lau, “Neuroprotective effect of garlic compounds in amyloid-β peptide-induced apoptosis in vitro,” Medical Science Monitor, vol. 8, no. 8, pp. BR328–BR337, 2002. View at: Google Scholar
  107. R. Jackson, B. McNeil, C. Taylor, G. Holl, D. Ruff, and E. T. Gwebu, “Effect of aged garlic extract on caspase-3 activity, in vitro,” Nutritional Neuroscience, vol. 5, no. 4, pp. 287–290, 2002. View at: Publisher Site | Google Scholar
  108. M. A. Papandreou, C. D. Kanakis, M. G. Polissiou et al., “Inhibitory activity on amyloid-β aggregation and antioxidant properties of Crocus sativus stigmas extract and its crocin constituents,” Journal of Agricultural and Food Chemistry, vol. 54, no. 23, pp. 8762–8768, 2006. View at: Publisher Site | Google Scholar
  109. Q. Dai, A. R. Borenstein, Y. Wu, J. C. Jackson, and E. B. Larson, “Fruit and vegetable juices and Alzheimer's disease: the kame project,” American Journal of Medicine, vol. 119, no. 9, pp. 751–759, 2006. View at: Publisher Site | Google Scholar
  110. D. Ortiz and T. B. Shea, “Apple juice prevents oxidative stress induced by amyloid-beta in culture,” Journal of Alzheimer's Disease, vol. 6, no. 1, pp. 27–30, 2004. View at: Google Scholar
  111. J. A. Joseph, N. A. Denisova, G. Arendash et al., “Blueberry supplementation enhances signaling and prevents behavioral deficits in an Alzheimer disease model,” Nutritional Neuroscience, vol. 6, no. 3, pp. 153–162, 2003. View at: Publisher Site | Google Scholar
  112. F. C. Lau, B. Shukitt-Hale, and J. A. Joseph, “The beneficial effects of fruit polyphenols on brain aging,” Neurobiology of Aging, vol. 26, pp. S128–S132, 2005. View at: Publisher Site | Google Scholar
  113. F. C. Lau, B. Shukitt-Hale, and J. A. Joseph, “Nutritional intervention in brain aging: reducing the effects of inflammation and oxidative stress,” Subcellular biochemistry, vol. 42, pp. 299–318, 2007. View at: Google Scholar
  114. W. Mullen, S. C. Marks, and A. Crozier, “Evaluation of phenolic compounds in commercial fruit juices and fruit drinks,” Journal of Agricultural and Food Chemistry, vol. 55, no. 8, pp. 3148–3157, 2007. View at: Publisher Site | Google Scholar
  115. E. Savaskan, G. Olivieri, F. Meier, E. Seifritz, A. Wirz-Justice, and F. Müller-Spahn, “Red wine ingredient resveratrol protects from β-amyloid neurotoxicity,” Gerontology, vol. 49, no. 6, pp. 380–383, 2003. View at: Publisher Site | Google Scholar
  116. J. H. Jang and Y. J. Surh, “Protective effect of resveratrol on β-amyloid-induced oxidative PC12 cell death,” Free Radical Biology and Medicine, vol. 34, no. 8, pp. 1100–1110, 2003. View at: Publisher Site | Google Scholar
  117. P. Marambaud, H. Zhao, and P. Davies, “Resveratrol promotes clearance of Alzheimer's disease amyloid-β peptides,” Journal of Biological Chemistry, vol. 280, no. 45, pp. 37377–37382, 2005. View at: Publisher Site | Google Scholar
  118. K. T. Howitz, K. J. Bitterman, H. Y. Cohen et al., “Small molecule activators of sirtuins extend Saccharomyces cerevisiae lifespan,” Nature, vol. 425, no. 6954, pp. 191–196, 2003. View at: Publisher Site | Google Scholar
  119. T. Araki, Y. Sasaki, and J. Milbrandt, “Increased nuclear NAD biosynthesis and SIRT1 activation prevent axonal degeneration,” Science, vol. 305, no. 5686, pp. 1010–1013, 2004. View at: Publisher Site | Google Scholar
  120. J. A. Parker, M. Arango, S. Abderrahmane et al., “Resveratrol rescues mutant polyglutamine cytotoxicity in nematode and mammalian neurons,” Nature Genetics, vol. 37, no. 4, pp. 349–350, 2005. View at: Publisher Site | Google Scholar
  121. M. Pacholec, J. E. Bleasdale, B. Chrunyk et al., “SRT1720, SRT2183, SRT1460, and resveratrol are not direct activators of SIRT1,” Journal of Biological Chemistry, vol. 285, no. 11, pp. 8340–8351, 2010. View at: Publisher Site | Google Scholar
  122. J. M. Orgogozo, J. F. Dartigues, S. Lafont et al., “Wine consumption and dementia in the elderly: a prospective community study in the Bordeaux area,” Revista de Neurología, vol. 153, no. 3, pp. 185–192, 1997. View at: Google Scholar
  123. A. Russo, M. Palumbo, C. Aliano, L. Lempereur, G. Scoto, and M. Renis, “Red wine micronutrients as protective agents in Alzheimer-like induced insult,” Life Sciences, vol. 72, no. 21, pp. 2369–2379, 2003. View at: Publisher Site | Google Scholar
  124. F. Panza, V. Solfrizzi, A. M. Colacicco et al., “Mediterranean diet and cognitive decline,” Public Health Nutrition, vol. 7, no. 7, pp. 1419–1425, 2004. View at: Google Scholar
  125. N. Scarmeas, Y. Stern, R. Mayeux, and J. A. Luchsinger, “Mediterranean diet, alzheimer disease, and vascular mediation,” Archives of Neurology, vol. 63, no. 12, pp. 1709–1717, 2006. View at: Publisher Site | Google Scholar
  126. J. Wang, L. Ho, Z. Zhao et al., “Moderate consumption of Cabernet Sauvignon attenuates Aβ neuropathology in a mouse model of Alzheimer's disease,” Journal of the Federation of American Societies for Experimental Biology, vol. 20, no. 13, pp. 2313–2320, 2006. View at: Publisher Site | Google Scholar
  127. L. Ho, L. H. Chen, J. Wang et al., “Heterogeneity in red wine polyphenolic contents differentially influences Alzheimer's disease-type neuropathology and cognitive deterioration,” Journal of Alzheimer's Disease, vol. 16, no. 1, pp. 59–72, 2009. View at: Publisher Site | Google Scholar
  128. S. S. Bentivegna and K. M. Whitney, “Subchronic 3-month oral toxicity study of grape seed and grape skin extracts,” Food and Chemical Toxicology, vol. 40, no. 12, pp. 1731–1743, 2002. View at: Publisher Site | Google Scholar
  129. J. Wang, L. Ho, W. Zhao et al., “Grape-derived polyphenolics prevent Aβ oligomerization and attenuate cognitive deterioration in a mouse model of Alzheimer's disease,” Journal of Neuroscience, vol. 28, no. 25, pp. 6388–6392, 2008. View at: Publisher Site | Google Scholar
  130. K. Ono, M. M. Condron, L. Ho et al., “Effects of grape seed-derived polyphenols on amyloid β-protein self-assembly and cytotoxicity,” Journal of Biological Chemistry, vol. 283, no. 47, pp. 32176–32187, 2008. View at: Publisher Site | Google Scholar
  131. M. G. Ferruzzi, J. K. Lobo, E. M. Janle et al., “Brain bioavailability of gallic acid and catechins is improved by repeated dosing in rats: implications for treatment in Alzheimer’s disease,” Journal of Alzheimer's Disease, vol. 18, no. 1, pp. 113–124, 2009. View at: Google Scholar
  132. B. Sivaprakasapillai, I. Edirisinghe, J. Randolph, F. Steinberg, and T. Kappagoda, “Effect of grape seed extract on blood pressure in subjects with the metabolic syndrome,” Metabolism, vol. 58, no. 12, pp. 1743–1746, 2009. View at: Publisher Site | Google Scholar
  133. L. Ho, S. Yemul, J. Wang, and G. M. Pasinetti, “Grape seed polyphenolic extract as a potential novel therapeutic agent in tauopathies,” Journal of Alzheimer's Disease, vol. 16, no. 2, pp. 433–439, 2009. View at: Publisher Site | Google Scholar

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