Intramembranous Fragment of Amyloid-β: A Potential Immunogen for Alzheimer’s Disease Immunotherapy

Immunotherapy holds great promise for Alzheimer’s disease (AD), but meningoencephalitis observed in the first AD vaccination trial, which accompanied T-lymphocytic infiltration, needs to be overcome. This study was aimed to investigate alternative approaches for a safer vaccine to treat AD. We used intramembranous fragment of amyloid-β (IF-Aβ) to immunize Kunming mice for up to 2.5 months and then evaluated the immunization efficacy and potential adverse effects. Immunization of mice with IF-Aβ plus Freund’s adjuvant resulted in moderate levels of Aβ antibodies (IgG), and the anti-sera were able to neutralize Aβ1-42-neurotoxicity in cultured primary cortical neurons. IF-Aβ itself did not show neurotoxicity, and immunization with IF-Aβ did not cause behavioral deficits in Morris water maze or any abnormalities by histological examinations of major organs including the brain. We conclude that vaccination with IF-Aβ may be a potentially safe and effective treatment for AD.     

Characterization of Novel CSF Tau and ptau Biomarkers for Alzheimer’s Disease

Cerebral spinal fluid (CSF) Aβ42, tau and p181tau are widely accepted biomarkers of Alzheimer’s disease (AD). Numerous studies show that CSF tau and p181tau levels are elevated in mild-to-moderate AD compared to age-matched controls. In addition, these increases might predict preclinical AD in cognitively normal elderly. Despite their importance as biomarkers, the molecular nature of CSF tau and ptau is not known. In the current study, reverse-phase high performance liquid chromatography was used to enrich and concentrate tau prior to western-blot analysis. Multiple N-terminal and mid-domain fragments of tau were detected in pooled CSF with apparent sizes ranging from <20 kDa to ~40 kDa. The pattern of tau fragments in AD and control samples were similar. In contrast, full-length tau and C-terminal-containing fragments were not detected. To quantify levels, five tau ELISAs and three ptau ELISAs were developed to detect different overlapping regions of the protein. The discriminatory potential of each assay was determined using 20 AD and 20 age-matched control CSF samples. Of the tau ELISAs, the two assays specific for tau containing N-terminal sequences, amino acids 9-198 (numbering based on tau 441) and 9-163, exhibited the most significant differences between AD and control samples. In contrast, CSF tau was not detected with an ELISA specific for a more C-terminal region (amino acids 159-335). Significant discrimination was also observed with ptau assays measuring amino acids 159-p181 and 159-p231. Interestingly, the discriminatory potential of p181 was reduced when measured in the context of tau species containing amino acids 9-p181. Taken together, these results demonstrate that tau in CSF occurs as a series of fragments and that discrimination of AD from control is dependent on the subset of tau species measured. These assays provide novel tools to investigate CSF tau and ptau as biomarkers for other neurodegenerative diseases.     

Neuroanatomical Correlates of Recognizing Face Expressions in Mild Stages of Alzheimer’s Disease

Early Alzheimer’s disease can involve social disinvestment, possibly as a consequence of impairment of nonverbal communication skills. This study explores whether patients with Alzheimer’s disease at the mild cognitive impairment or mild dementia stage have impaired recognition of emotions in facial expressions, and describes neuroanatomical correlates of emotion processing impairment. As part of the ongoing PACO study (personality, Alzheimer’s disease and behaviour), 39 patients with Alzheimer’s disease at the mild cognitive impairment or mild dementia stage and 39 matched controls completed tests involving discrimination of four basic emotions—happiness, fear, anger, and disgust—on photographs of faces. In patients, automatic volumetry of 83 brain regions was performed on structural magnetic resonance images using MAPER (multi-atlas propagation with enhanced registration). From the literature, we identified for each of the four basic emotions one brain region thought to be primarily associated with the function of recognizing that emotion. We hypothesized that the volume of each of these regions would be correlated with subjects’ performance in recognizing the associated emotion. Patients showed deficits of basic emotion recognition, and these impairments were correlated with the volumes of the expected regions of interest. Unexpectedly, most of these correlations were negative: better emotional facial recognition was associated with lower brain volume. In particular, recognition of fear was negatively correlated with the volume of amygdala, disgust with pallidum, and happiness with fusiform gyrus. Recognition impairment in mild stages of Alzheimer’s disease for a given emotion was thus associated with less visible atrophy of functionally responsible brain structures within the patient group. Possible explanations for this counterintuitive result include neuroinflammation, regional β-amyloid deposition, or transient overcompensation during early stages of Alzheimer’s disease.     

Multifaceted Alzheimer’s Disease: Building a Roadmap for Advancement of Novel Therapies

Neurochemical Research - Alzheimer's disease (AD) is one of the most prevailing neurodegenerative disorders of elderly humans associated with cognitive damage. Biochemical, epigenetic, and...     

Alzheimer’s Disease is an Important Risk Factor of Fractures: a Meta-analysis of Cohort Studies

The risk of fracture in individuals with Alzheimer’s disease had not been fully quantified. A systematic review and meta-analysis of cohort studies was performed to estimate the impact of Alzheimer’s disease on risk of fractures. Pubmed and Embase were searched for eligible cohort studies assessing the association between Alzheimer’s disease and risk of fractures. The overall relative risks (RRs) with 95% CIs were calculated using a random-effects model to evaluate the association. Six cohort studies with a total of 137,986 participants were included into the meta-analysis. Meta-analysis of a total of six studies showed that Alzheimer’s disease was significantly associated with two-fold increased risk of fractures (RR?=?2.18, 95 % CI 1.64–2.90, P?<?0.001; I ²?=?91.4 %). Meta-regression analysis showed that type of fractures was a source of heterogeneity (P?=?0.003). Meta-analysis of five studies on hip fracture showed that Alzheimer’s disease was significantly associated with 2.5-fold increased risk of hip fracture (RR?=?2.52, 95 % CI 2.26–2.81, P?<?0.001; I ²?=?25.2 %). There was no risk of publication bias observed in the funnel plot. There is strong evidence that Alzheimer’s disease is a risk factor of hip fracture.     

β-Arrestins as Potential Therapeutic Targets for Alzheimer’s Disease

β-arrestins represent a small family of G protein-coupled receptors (GPCRs) regulators, which provide modulating effects by facilitating desensitization and internalization of GPCRs as well as initiating their own signalings. Recent reports have demonstrated that β-arrestins levels were correlated with amyloid-β peptide (Aβ) pathology in brains of Alzheimer’s disease (AD) patients and animal models. β-arrestins could enhance the activity of γ-secretase via interacting with anterior pharynx defective 1 subunit, which increased Aβ production and contributed to the pathogenesis of AD. In addition, Aβ-induced internalization of β2-adrenergic receptor internalization and loss of dendritic spine in neurons were proven to be mediated by β-arrestins, further establishing their pathogenic role in AD. More importantly, deletion of β-arrestins markedly attenuated AD pathology, without causing any gross abnormality. Here, we review the evidence about the roles of β-arrestins in the progression of AD. In addition, the established and postulated mechanisms by which β-arrestins mediated in AD pathogenesis are also discussed. Based on the role of β-arrestins in AD pathogenesis, genetically or pharmacologically targeting β-arrestins might provide new opportunities for AD treatment.     

Alzheimer’s Disease and Epilepsy: A Perspective on the Opportunities for Overlapping Therapeutic Innovation

Early-onset Alzheimer’s disease (AD) is associated with variants in amyloid precursor protein (APP) and presenilin (PSEN) 1 and 2. It is increasingly recognized that patients with AD experience undiagnosed focal seizures. These AD patients with reported seizures may have worsened disease trajectory. Seizures in epilepsy can also lead to cognitive deficits, neuroinflammation, and neurodegeneration. Epilepsy is roughly three times more common in individuals aged 65 and older. Due to the numerous available antiseizure drugs (ASDs), treatment of seizures has been proposed to reduce the burden of AD. More work is needed to establish the functional impact of seizures in AD to determine whether ASDs could be a rational therapeutic strategy. The efficacy of ASDs in aged animals is not routinely studied, despite the fact that the elderly represents the fastest growing demographic with epilepsy. This leaves a particular gap in understanding the discrete pathophysiological overlap between hyperexcitability and aging, and AD more specifically. Most of our preclinical knowledge of hyperexcitability in AD has come from mouse models that overexpress APP. While these studies have been invaluable, other drivers underlie AD, e.g. PSEN2. A diversity of animal models should be more frequently integrated into the study of hyperexcitability in AD, which could be particularly beneficial to identify novel therapies. Specifically, AD-associated risk genes, in particular PSENs, altogether represent underexplored contributors to hyperexcitability. This review assesses the available studies of ASDs administration in clinical AD populations and preclinical studies with AD-associated models and offers a perspective on the opportunities for further therapeutic innovation.

     

Memantine Monotherapy for Alzheimer’s Disease: A Systematic Review and Meta-Analysis

Background

We performed an updated meta-analysis of randomized placebo-controlled trials testing memantine monotherapy for patients with Alzheimer’s disease (AD).

Methods

The meta-analysis included randomized controlled trials of memantine monotherapy for AD, omitting those in which patients were also administered a cholinesterase inhibitor. Cognitive function, activities of daily living, behavioral disturbances, global function, stage of dementia, drug discontinuation rate, and individual side effects were compared between memantine monotherapy and placebo groups. The primary outcomes were cognitive function and behavioral disturbances; the others were secondary outcomes.

Results

Nine studies including 2433 patients that met the study’s inclusion criteria were identified. Memantine monotherapy significantly improved cognitive function [standardized mean difference (SMD)=−0.27, 95% confidence interval (CI)=−0.39 to −0.14, p=0.0001], behavioral disturbances (SMD=−0.12, 95% CI=−0.22 to −0.01, p=0.03), activities of daily living (SMD=−0.09, 95% CI=−0.19 to −0.00, p=0.05), global function assessment (SMD=−0.18, 95% CI=−0.27 to −0.09, p=0.0001), and stage of dementia (SMD=−0.23, 95% CI=−0.33 to −0.12, p=0.0001) scores. Memantine was superior to placebo in terms of discontinuation because of inefficacy [risk ratio (RR)=0.36, 95% CI=0.17¬ to 0.74, p=0.006, number needed to harm (NNH)=non significant]. Moreover, memantine was associated with less agitation compared with placebo (RR=0.68, 95% CI=0.49 to 0.94, p=0.02, NNH=non significant). There were no significant differences in the rate of discontinuation because of all causes, all adverse events, and individual side effects other than agitation between the memantine monotherapy and placebo groups.

Conclusions

Memantine monotherapy improved cognition, behavior, activities of daily living, global function, and stage of dementia and was well-tolerated by AD patients. However, the effect size in terms of efficacy outcomes was small and thus there is limited evidence of clinical benefit.     

Icariin: A Potential Neuroprotective Agent in Alzheimer’s Disease and Parkinson’s Disease

Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the most common neurodegenerative diseases worldwide. They are characterized by the loss of neurons and synapses in special parts of the central nervous system (CNS). There is no definitive treatment for AD and PD, but extensive studies are underway to identify the effective drugs which can slow the progression of these diseases by affecting the factors involved in their pathophysiology (i.e., aggregated proteins, neuroinflammation, and oxidative stress). Icariin, a natural compound isolated from Epimedii herba, is known because of its anti-inflammatory and anti-oxidant properties. In this regard, there are numerous studies indicating its potential as a natural compound against the progression of CNS disorders, such as neurodegenerative diseases. Therefore, this review aims to re-examine findings on the pharmacologic effects of icariin on factors involved in the pathophysiology of AD and PD.

     

Sirtuin1: A Promising Serum Protein Marker for Early Detection of Alzheimer’s Disease

Sirtuin (SIRT) pathway has a crucial role in Alzheimer’s disease (AD). The present study evaluated the alterations in serum sirtuin1 (SIRT1) concentration in healthy individuals (young and old) and patients with AD and mild cognitive impairment (MCI). Blood samples were collected from 40 AD and 9 MCI patients as cases and 22 young healthy adults and 22 healthy elderly individuals as controls. Serum SIRT1 was estimated by Surface Plasmon Resonance (SPR), Western Blot and Enzyme Linked Immunosorbent Assay (ELISA). A significant (p<0.0001) decline in SIRT1 concentration was observed in patients with AD (2.27±0.46 ng/µl) and MCI (3.64±0.15 ng/µl) compared to healthy elderly individuals (4.82±0.4 ng/µl). The serum SIRT1 concentration in healthy elderly was also significantly lower (p<0.0001) compared to young healthy controls (8.16±0.87 ng/µl). This study, first of its kind, has demonstrated, decline in serum concentration of SIRT1 in healthy individuals as they age. In patients with AD and MCI the decline was even more pronounced, which provides an opportunity to develop this protein as a predictive marker of AD in early stages with suitable cut off values.     

The Basic Biology of BACE1: A Key Therapeutic Target for Alzheimer’s Disease

Alzheimer’s disease (AD) is an intractable, neurodegenerative disease that appears to be brought about by both genetic and non-genetic factors. The neuropathology associated with AD is complex, although amyloid plaques composed of the β-amyloid peptide (Aβ) are hallmark neuropathological lesions of AD brain. Indeed, Aβ plays an early and central role in this disease. β-site amyloid precursor protein (APP) cleaving enzyme 1 (BACE1) is the initiating enzyme in Aβ genesis and BACE1 levels are elevated under a variety of conditions. Given the strong correlation between Aβ and AD, and the elevation of BACE1 in this disease, this enzyme is a prime drug target for inhibiting Aβ production in AD. However, nine years on from the initial identification of BACE1, and despite intense research, a number of key questions regarding BACE1 remain unanswered. Indeed, drug discovery and development for AD continues to be challenging. While current AD therapies temporarily slow cognitive decline, treatments that address the underlying pathologic mechanisms of AD are completely lacking. Here we review the basic biology of BACE1. We pay special attention to recent research that has provided some answers to questions such as those involving the identification of novel BACE1 substrates, the potential causes of BACE1 elevation and the putative function of BACE1 in health and disease. Our increasing understanding of BACE1 biology should aid the development of compounds that interfere with BACE1 expression and activity and may lead to the generation of novel therapeutics for AD.Key Words: Alzheimer’s, BACE1, β-secretase, Aβ, vascular disease, regulation, stress.     

Effects of Polyphenols on Brain Ageing and Alzheimer’s Disease: Focus on Mitochondria

The global trend of the phenomenon of population ageing has dramatic consequences on public health and the incidence of neurodegenerative diseases. Physiological changes that occur during normal ageing of the brain may exacerbate and initiate pathological processes that may lead to neurodegenerative disorders, especially Alzheimer's disease (AD). Hence, the risk of AD rises exponentially with age. While there is no cure currently available, sufficient intake of certain micronutrients and secondary plant metabolites may prevent disease onset. Polyphenols are highly abundant in the human diet, and several experimental and epidemiological evidences indicate that these secondary plant products have beneficial effects on AD risks. This study reviews current knowledge on the potential of polyphenols and selected polyphenol-rich diets on memory and cognition in human subjects, focusing on recent data showing in vivo efficacy of polyphenols in preventing neurodegenerative events during brain ageing and in dementia. Concentrations of polyphenols in animal brains following oral administration have been consistently reported to be very low, thus eliciting controversial discussion on their neuroprotective effects and potential mechanisms. Whether polyphenols exert any direct antioxidant effects in the brain or rather act by evoking alterations in regulatory systems of the brain or even the body periphery is still unclear. To understand the mechanisms behind the protective abilities of polyphenol-rich foods, an overall understanding of the biotransformation of polyphenols and identification of the various metabolites arising in the human body is also urgently needed.     

A Spectral Graph Regression Model for Learning Brain Connectivity of Alzheimer’s Disease

Understanding network features of brain pathology is essential to reveal underpinnings of neurodegenerative diseases. In this paper, we introduce a novel graph regression model (GRM) for learning structural brain connectivity of Alzheimer''s disease (AD) measured by amyloid-β deposits. The proposed GRM regards ¹¹C-labeled Pittsburgh Compound-B (PiB) positron emission tomography (PET) imaging data as smooth signals defined on an unknown graph. This graph is then estimated through an optimization framework, which fits the graph to the data with an adjustable level of uniformity of the connection weights. Under the assumed data model, results based on simulated data illustrate that our approach can accurately reconstruct the underlying network, often with better reconstruction than those obtained by both sample correlation and ℓ1-regularized partial correlation estimation. Evaluations performed upon PiB-PET imaging data of 30 AD and 40 elderly normal control (NC) subjects demonstrate that the connectivity patterns revealed by the GRM are easy to interpret and consistent with known pathology. Moreover, the hubs of the reconstructed networks match the cortical hubs given by functional MRI. The discriminative network features including both global connectivity measurements and degree statistics of specific nodes discovered from the AD and NC amyloid-beta networks provide new potential biomarkers for preclinical and clinical AD.     

Molecular and Cellular Mechanism of Okadaic Acid (OKA)-Induced Neurotoxicity: A Novel Tool for Alzheimer’s Disease Therapeutic Application

Okadaic acid (OKA), a polyether C38 fatty acid toxin extracted from a black sponge Hallichondria okadaii, is a potent and selective inhibitor of protein phosphatase, PP1 and PP2A. OKA has been proved to be a powerful probe for studying the various regulatory mechanisms and neurotoxicity. Because of its property to inhibit phosphatase activity, OKA is associated with protein phosphorylation; it is implicated in hyperphosphorylation of tau and in later stages causes Alzhiemer’s disease (AD)-like pathology. AD is a progressive neurodegenerative disorder, pathologically characterized by extracellular amyloid beta (Aβ) plaques and intracellular neurofibrillary tangles (NFTs). The density of tau tangles in AD pathology is associated with cognitive dysfunction. Recent studies have highlighted the importance of serine/threonine protein phosphatases in many processes including apoptosis and neurotoxicity. Although OKA causes neurotoxicity by various pathways, the exact mechanism is still not clear. The activation of major kinases, such as Ser/Thr, MAPK, ERK, PKA, JNK, PKC, CaMKII, Calpain, and GSK3β, in neurons is associated with AD pathology. These kinases, associated with abnormal hyperphosphorylation of tau, suggest that the cascade of these kinases could exclusively be involved in the pathogenesis of AD. The activity of serine/threonine protein phosphatases needs extensive study as these enzymes are potential targets for novel therapeutics with applications in many diseases including cancer, inflammatory diseases, and neurodegeneration. There is a need to pay ample attention on MAPK kinase pathways in AD, and OKA can be a better tool to study cellular and molecular mechanism for AD pathology. This review elucidates the regulatory mechanism of PP2A and MAPK kinase and their possible mechanisms involved in OKA-induced apoptosis, neurotoxicity, and AD-like pathology.     

Strong Evidence for a Genetic Contribution to Late-Onset Alzheimer’s Disease Mortality: A Population-Based Study

Background

Alzheimer’s disease (AD) is an international health concern that has a devastating effect on patients and families. While several genetic risk factors for AD have been identified much of the genetic variance in AD remains unexplained. There are limited published assessments of the familiality of Alzheimer’s disease. Here we present the largest genealogy-based analysis of AD to date.

Methods

We assessed the familiality of AD in The Utah Population Database (UPDB), a population-based resource linking electronic health data repositories for the state with the computerized genealogy of the Utah settlers and their descendants. We searched UPDB for significant familial clustering of AD to evaluate the genetic contribution to disease. We compared the Genealogical Index of Familiality (GIF) between AD individuals and randomly selected controls and estimated the Relative Risk (RR) for a range of family relationships. Finally, we identified pedigrees with a significant excess of AD deaths.

Results

The GIF analysis showed that pairs of individuals dying from AD were significantly more related than expected. This excess of relatedness was observed for both close and distant relationships. RRs for death from AD among relatives of individuals dying from AD were significantly increased for both close and more distant relatives. Multiple pedigrees had a significant excess of AD deaths.

Conclusions

These data strongly support a genetic contribution to the observed clustering of individuals dying from AD. This report is the first large population-based assessment of the familiality of AD mortality and provides the only reported estimates of relative risk of AD mortality in extended relatives to date. The high-risk pedigrees identified show a true excess of AD mortality (not just multiple cases) and are greater in depth and width than published AD pedigrees. The presence of these high-risk pedigrees strongly supports the possibility of rare predisposition variants not yet identified.     

Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease

Being able to estimate a patient’s progress in the course of Alzheimer’s disease and predicting future progression based on a number of observed biomarker values is of great interest for patients, clinicians and researchers alike. In this work, an approach for disease progress estimation is presented. Based on a set of subjects that convert to a more severe disease stage during the study, models that describe typical trajectories of biomarker values in the course of disease are learned using quantile regression. A novel probabilistic method is then derived to estimate the current disease progress as well as the rate of progression of an individual by fitting acquired biomarkers to the models. A particular strength of the method is its ability to naturally handle missing data. This means, it is applicable even if individual biomarker measurements are missing for a subject without requiring a retraining of the model. The functionality of the presented method is demonstrated using synthetic and—employing cognitive scores and image-based biomarkers—real data from the ADNI study. Further, three possible applications for progress estimation are demonstrated to underline the versatility of the approach: classification, construction of a spatio-temporal disease progression atlas and prediction of future disease progression.     

Targeting Estrogen Receptors for the Treatment of Alzheimer’s Disease

The significantly higher incidence of Alzheimer's disease (AD) in women than in men has been attributed to loss of estrogen and a variety of related mechanisms at the molecular, cellular, and hormonal levels, which subsequently elucidate neuroprotective roles of estrogen against AD-related pathology. Recent studies have proposed that beneficial effects of estrogen on AD are directly linked to its ability to reduce amyloid-β peptides and tau aggregates, two hallmark lesions of AD. Despite high expectations, large clinical trials with postmenopausal women indicated that the beneficial effects of estrogen therapies were insignificant and, in fact, elicited adverse effects. Here, we review the current status of AD prevention and treatment using estrogens focusing on recent understandings of their biochemical links to AD pathophysiology. This review also discusses development of selective ligands that specifically target either estrogen receptor α (ERα) or ERβ isoforms, which are potentially promising strategies for safe and efficient treatment of AD.