Caloric restriction: beneficial effects on brain aging and Alzheimer’s disease

Dietary interventions such as caloric restriction (CR) extend lifespan and health span. Recent data from animal and human studies indicate that CR slows down the aging process, benefits general health, and improves memory performance. Caloric restriction also retards and slows down the progression of different age-related diseases, such as Alzheimer’s disease. However, the specific molecular basis of these effects remains unclear. A better understanding of the pathways underlying these effects could pave the way to novel preventive or therapeutic strategies. In this review, we will discuss the mechanisms and effects of CR on aging and Alzheimer’s disease. A potential alternative to CR as a lifestyle modification is the use of CR mimetics. These compounds mimic the biochemical and functional effects of CR without the need to reduce energy intake. We discuss the effect of two of the most investigated mimetics, resveratrol and rapamycin, on aging and their potential as Alzheimer’s disease therapeutics. However, additional research will be needed to determine the safety, efficacy, and usability of CR and its mimetics before a general recommendation can be proposed to implement them.     

Pushing the boundaries of brain organoids to study Alzheimer’s disease

Progression of Alzheimer’s disease (AD) entails deterioration or aberrant function of multiple brain cell types, eventually leading to neurodegeneration and cognitive decline. Defining how complex cell–cell interactions become dysregulated in AD requires novel human cell-based in vitro platforms that could recapitulate the intricate cytoarchitecture and cell diversity of the human brain. Brain organoids (BOs) are 3D self-organizing tissues that partially resemble the human brain architecture and can recapitulate AD-relevant pathology. In this review, we highlight the versatile applications of different types of BOs to model AD pathogenesis, including amyloid-β and tau aggregation, neuroinflammation, myelin breakdown, vascular dysfunction, and other phenotypes, as well as to accelerate therapeutic development for AD.     

The study of Alzheimer’s disease biomarkers

Alzheimer’s disease (AD) is by far the most common dementing illness of late life and is increasing with the ever-growing number of older adults, in particular, in developed countries. The disease is often referred to as the “Long-Goodbye” because the person with the illness slowly becomes lost to everyone a long time before the body finally gives out. Being able to detect AD earlier on during the course of the disease offers better prospects for the future, for AD individuals, their families and friends as well as on the economy, as a whole. Unfortunately, such a detection technique is not yet, available. However, there are a number of promising biological markers (biomarkers) that correlate well with clinical cognitive tests of individuals and/or postmortem histopathological manifestations of the disease, especially when at least two markers are used for the diagnosis. Biosensors are tools that combine a biochemical binding element to a signal conversion unit and are already being used in the study of some AD biomarkers. However, their use in clinical diagnosis remains a challenge. Introduction of nanotechnology leading to nanobiosensors has several potential advantages over other clinical and/or existing analytical tools, including increased assay speed, flexibility, reduced cost of diagnostic testing, potential to deliver molecular diagnostic tools to family general practitioners, and other health care systems. Even more important, nano-based assays have the potential to detect target proteins at attomolar concentration level. They are, therefore, being increasingly exploited for the detection of early metabolic changes associated with diseases. Because brain damage is irreversible, the use of nanotechnology is particularly important in AD and other neurodegenerative disorders. Nanosensors can also facilitate and enable pointofcare-testing (POCT). This article reviews the basic biochemical processes that lead to AD pathology, current biomarkers for AD, and the current role of nanosensor technology for the study of AD biomarkers. Furthermore, it discusses the huge potential of nanosensing to deliver new molecular diagnostic strategies to AD research.     

A brief overview of amyloids and Alzheimer’s disease

Amyloid fibrils are self-assembled fibrous protein aggregates that are associated with a number of presently incurable diseases such as Alzheimer’s and Parkinson’s disease. Millions of people worldwide suffer from amyloid diseases. This review summarizes the unique cross-β structure of amyloid fibrils, morphological variations, the kinetics of amyloid fibril formation, and the cytotoxic effects of these fibrils and oligomers. Alzheimer’s disease is also explored as an example of an amyloid disease to show the various approaches to treat these amyloid diseases. Finally, this review investigates the nanotechnological and biological applications of amyloid fibrils; as well as a summary of the typical biological pathways involved in the disposal of amyloid fibrils and their precursors.     

The effect of aging on brain barriers and the consequences for Alzheimer’s disease development

Life expectancy has increased in most developed countries, which has led to an increase in the proportion of elderly people in the world’s population. However, this increase in life expectancy is not accompanied by a lengthening of the health span since aging is characterized with progressive deterioration in cellular and organ functions. The brain is particularly vulnerable to disease, and this is reflected in the onset of age-related neurodegenerative diseases such as Alzheimer’s disease. Research shows that dysfunction of two barriers in the central nervous system (CNS), the blood–brain barrier (BBB) and the blood–cerebrospinal fluid (CSF) barrier (BCSFB), plays an important role in the progression of these neurodegenerative diseases. The BBB is formed by the endothelial cells of the blood capillaries, whereas the BCSFB is formed by the epithelial cells of the choroid plexus (CP), both of which are affected during aging. Here, we give an overview of how these barriers undergo changes during aging and in Alzheimer’s disease, thereby disturbing brain homeostasis. Studying these changes is needed in order to gain a better understanding of the mechanisms of aging at the brain barriers, which might lead to the development of new therapies to lengthen the health span (including mental health) and reduce the chances of developing Alzheimer’s disease.     

A genome-wide association study of Alzheimer’s disease using random forests and enrichment analysis

Alzheimer??s disease (AD) is a serious neurodegenerative disorder and its cause remains largely elusive. In past years, genome-wide association (GWA) studies have provided an effective means for AD research. However, the univariate method that is commonly used in GWA studies cannot effectively detect the biological mechanisms associated with this disease. In this study, we propose a new strategy for the GWA analysis of AD that combines random forests with enrichment analysis. First, backward feature selection using random forests was performed on a GWA dataset of AD patients carrying the apolipoprotein gene (APOE?4) and 1058 susceptible single nucleotide polymorphisms (SNPs) were detected, including several known AD-associated SNPs. Next, the susceptible SNPs were investigated by enrichment analysis and significantly-associated gene functional annotations, such as ??alternative splicing??, ??glycoprotein??, and ??neuron development??, were successfully discovered, indicating that these biological mechanisms play important roles in the development of AD in APOE?4 carriers. These findings may provide insights into the pathogenesis of AD and helpful guidance for further studies. Furthermore, this strategy can easily be modified and applied to GWA studies of other complex diseases.     

FKBP immunophilins and Alzheimer’s disease: A chaperoned affair

The FK506-binding protein (FKBP) family of immunophilins consists of proteins with a variety of protein–protein interaction domains and versatile cellular functions. Analysis of the functions of immunophilins has been the focus of studies in recent years and has led to the identification of various molecular pathways in which FKBPs play an active role. All FKBPs contain a domain with prolyl cis/trans isomerase (PPIase) activity. Binding of the immunosuppressant molecule FK506 to this domain inhibits their PPIase activity while mediating immune suppression through inhibition of calcineurin. The larger members, FKBP51 and FKBP52, interact with Hsp90 and exhibit chaperone activity that is shown to regulate steroid hormone signalling. From these studies it is clear that FKBP proteins are expressed ubiquitously but show relatively high levels of expression in the nervous system. Consistent with this expression, FKBPs have been implicated with both neuroprotection and neurodegeneration. This review will focus on recent studies involving FKBP immunophilins in Alzheimer’s-disease-related pathways.     

Oxidative stress and its effect on cell functional activity in Alzheimer’s disease

The review summarizes literature data on the importance of oxidative stress as one of the pathogenetic mechanisms in Alzheimer’s disease. Special attention is paid to the main specific and nonspecific ways of reactive oxygen species (ROS) generation in the course of the disease development. Generated ROS influence functional activity of cells, particularly, apoptosis and the mitotic cycle. Phosphorylation/dephosphorylation processes associated with intense phosphorylation of tau protein and mitosis-specific proteins play the nodal regulatory role in the cell. Alzheimer’s disease is accompanied by impairments of the regulatory functions of peptidyl-prolyl isomerases, particularly, Pin1 involved in maintaining a balanced state of phosphorylation/dephosphorylation processes. Taking into consideration the multifactorial impairment of the cell cycle control, this process should be considered from the viewpoint of the general state of metabolic processes, and oxidative stress has one of the key positions in aging.     

Tackling neurodegenerative diseases: animal models of Alzheimer’s disease and Parkinson’s disease

Our ageing society is confronted with a dramatic increase in incidence of age-related neurodegenerative diseases; biomedical research leading to novel therapeutic strategies is crucial to address this problem. Animal models of neurodegenerative conditions are invaluable in improving our understanding of the molecular basis of pathology, potentially revealing novel targets for intervention. Here, we review transgenic animal models of Alzheimer’s and Parkinson’s disease reported in mice, zebrafish, Caenorhabditis elegans and Drosophila melanogaster. This information will enable researchers to compare different animal models targeting disease-associated molecules by genomic engineering and to facilitate the development of novel animal models for any particular study, depending on the ultimate research goals.     

A standard model of Alzheimer’s disease?

ABSTRACT

The recent Research Framework proposed by the US National Institute on Aging and the Alzheimer’s Association (NIA-AA) recommends that Alzheimer’s disease be defined by its specific biology rather than by non-specific neurodegenerative and syndromal features. By affirming markers of abnormal Aβ and tau proteins as the essential pathobiological signature of Alzheimer’s disease, the Framework tacitly reinforces the amyloid (Aβ) cascade as the leading theory of Alzheimer pathogenesis. In light of recent evidence that the cascade is driven by the misfolding and templated aggregation of Aβ and tau, we believe that an empirically grounded Standard Model of Alzheimer’s pathogenesis is within reach. A Standard Model can clarify and consolidate existing information, contextualize risk factors and the complex disease phenotype, identify testable hypotheses for future research, and pave the most direct path to effective prevention and treatment.     

Mathematical model on Alzheimer’s disease

Background

Alzheimer disease (AD) is a progressive neurodegenerative disease that destroys memory and cognitive skills. AD is characterized by the presence of two types of neuropathological hallmarks: extracellular plaques consisting of amyloid β-peptides and intracellular neurofibrillary tangles of hyperphosphorylated tau proteins. The disease affects 5 million people in the United States and 44 million world-wide. Currently there is no drug that can cure, stop or even slow the progression of the disease. If no cure is found, by 2050 the number of alzheimer’s patients in the U.S. will reach 15 million and the cost of caring for them will exceed $ 1 trillion annually.

Results

The present paper develops a mathematical model of AD that includes neurons, astrocytes, microglias and peripheral macrophages, as well as amyloid β aggregation and hyperphosphorylated tau proteins. The model is represented by a system of partial differential equations. The model is used to simulate the effect of drugs that either failed in clinical trials, or are currently in clinical trials.

Conclusions

Based on these simulations it is suggested that combined therapy with TNF- α inhibitor and anti amyloid β could yield significant efficacy in slowing the progression of AD.

     

Phenotypic differences between Drosophila Alzheimer’s disease models expressing human Aβ42 in the developing eye and brain

Drosophila melanogaster expressing amyloid-β42 (Aβ42) transgenes have been used as models to study Alzheimer’s disease. Various Aβ42 transgenes with different structures induce different phenotypes, which make it difficult to compare data among studies which use different transgenic lines. In this study, we compared the phenotypes of four frequently used Aβ42 transgenic lines, UAS-Aβ42^2X, UAS-Aβ42^BL33770, UAS-Aβ42^11C39, and UAS-Aβ42^H29.3. Among the four transgenic lines, only UAS-Aβ42^2X has two copies of the upstream activation sequence-amyloid-β42 (UAS-Aβ42) transgene, while remaining three have one copy. UAS-Aβ42^BL33770 has the 3′ untranslated region of Drosophila α-tubulin, while the others have that of SV40. UAS-Aβ42^11C39 and UAS-Aβ42^H29.3 have the rat pre-proenkephalin signal peptide, while UAS-Aβ42^2X and UAS-Aβ42^BL33770 have that of the fly argos protein. When the transgenes were expressed ectopically in the developing eyes of the flies, UAS-Aβ42^2X transgene resulted in a strongly reduced and rough eye phenotype, while UAS-Aβ42^BL33770 only showed a strong rough eye phenotype; UAS-Aβ42^H29.3 and UAS-Aβ42^11C39 had mild rough eyes. The levels of cell death and reactive oxygen species (ROS) in the eye imaginal discs were consistently the highest in UAS-Aβ42^2X, followed by UAS-Aβ42^BL33770, UAS-Aβ42^11C39, and UAS-Aβ42^H29.3. Surprisingly, the reduction in survival during the development of these lines did not correlate with cell death or ROS levels. The flies which expressed UAS-Aβ42^11C39 or UAS-Aβ42^H29.3 experienced greatly reduced survival rates, although low levels of ROS or cell death were detected. Collectively, our results demonstrated that different Drosophila AD models show different phenotypic severity, and suggested that different transgenes may have different modes of cytotoxicity.

Abbreviations: Aβ42: amyloid-β42; AD: Alzheimer’s disease; UAS: upstream activation sequence     

Alzheimer’s disease and gut microbiota

Alzheimer’s disease (AD) is a most common neurodegenerative disorder, which associates with impaired cognition. Gut microbiota can modulate host brain function and behavior via microbiota-gut-brain axis, including cognitive behavior. Germ-free animals, antibiotics, probiotics intervention and diet can induce alterations of gut microbiota and gut physiology and also host cognitive behavior, increasing or decreasing risks of AD. The increased permeability of intestine and blood-brain barrier induced by gut microbiota disturbance will increase the incidence of neurodegeneration disorders. Gut microbial metabolites and their effects on host neurochemical changes may increase or decrease the risk of AD. Pathogenic microbes infection will also increase the risk of AD, and meanwhile, the onset of AD support the “hygiene hypothesis”. All the results suggest that AD may begin in the gut, and is closely related to the imbalance of gut microbiota. Modulation of gut microbiota through personalized diet or beneficial microbiota intervention will probably become a new treatment for AD.     

Copper transport and Alzheimer’s disease

This brief review discusses copper transport in humans, with an emphasis on knowledge learned from one of the simplest model organisms, yeast. There is a further focus on copper transport in Alzheimer’s Disease (AD). Copper homeostasis is essential for the well-being of all organisms, from bacteria to yeast to humans: survival depends on maintaining the required supply of copper for the many enzymes, dependent on copper for activity, while ensuring that there is no excess free copper, which would cause toxicity. A virtual orchestra of proteins are required to achieve copper homeostasis. For copper uptake, Cu(II) is first reduced to Cu(I) via a membrane-bound reductase. The reduced copper can then be internalised by a copper transporter where it is transferred to copper chaperones for transport and specific delivery to various organelles. Of significance are internal copper transporters, ATP7A and ATP7B, notable for their role in disorders of copper deficiency and toxicity, Menkes and Wilson’s disease, respectively. Metallothioneins and Cu/Zn superoxide dismutase can protect against excess copper in cells. It is clear too, increasing age, environmental and lifestyle factors impact on brain copper. Studies on AD suggest an important role for copper in the brain, with some AD therapies focusing on mobilising copper in AD brains. The transport of copper into the brain is complex and involves numerous players, including amyloid precursor protein, Aβ peptide and cholesterol.     

Design and characterization of bivalent compounds as potential neuroprotectants for Alzheimer’s disease: Impact of the spacer on biological activity

In our continuing efforts to develop bivalent compounds as potential neuroprotectants for Alzheimer’s disease, a series of bivalent compounds that contain cholesterylamine and an extended spacer were synthesized and biologically characterized. Our results demonstrated that incorporation of a piperazine ring into the spacer composition significantly improved the protective potency in MC65 cell models. Our results also suggested that the optimal spacer length for such bivalent compounds ranges from 17 to 21 atoms, and further spacer extension beyond 21 atoms results no further optimization. Notably, incorporation of a piperazine ring into the spacer diminished the biometal chelating capacity for these bivalent compounds, thus suggesting structural flexibility of these compounds in interactions with metals. Collectively, the results provided valuable guidance to develop new bivalent compounds as neuroprotectants for Alzheimer’s disease.     

Plasma lipoproteome in Alzheimer’s disease: a proof-of-concept study

Background

Although total plasma lipoproteome consists of proteins that have shown promises as biomarkers that can identify Alzheimer’s disease (AD), effect sizes are modest. The objective of this study is to provide initial proof-of-concept that the plasma lipoproteome more likely differ between AD cases and controls when measured in individual plasma lipoprotein fractions than when measured as total in immunodepleted plasma.

Methods

We first developed a targeted proteomics method based on selected reaction monitoring (SRM) and liquid chromatography and tandem mass spectrometry for measurement of 120 tryptic peptides from 79 proteins that are commonly present in plasma lipoproteins. Then in a proof-of concept case–control study of 5 AD cases and 5 sex- and age-matched controls, we applied the targeted proteomic method and performed relatively quantification of 120 tryptic peptides in plasma lipoprotein fractions (fractionated by sequential gradient ultracentrifugation) and in immunodepleted plasma (of albumin and IgG). Unadjusted p values from two-sample t-tests and overall fold change was used to evaluate a peptide relative difference between AD cases and controls, with lower p values (<?0.05) or greater fold differences (>?1.05 or?<?0.95) suggestive of greater peptide/protein differences.

Results

Within-day and between-days technical precisions (mean %CV [SD] of all SRM transitions) of the targeted proteomic method were 3.95% (2.65) and 9.31% (5.59), respectively. Between-days technical precisions (mean % CV [SD]) of the entire plasma lipoproteomic workflow including plasma lipoprotein fractionation was 27.90% (14.61). Ten tryptic peptides that belonged to 5 proteins in plasma lipoproteins had unadjusted p values?<?0.05, compared to no peptides in immunodepleted plasma. Furthermore, 27, 32, 17, and 20 tryptic peptides in VLDL, IDL, LDL and HDL, demonstrated overall peptide fold differences?>?1.05 or?<?0.95, compared to only 6 tryptic peptides in immunodepleted plasma. The overall comparisons, therefore, suggested greater peptide/protein differences in plasma lipoproteome when measured in individual plasma lipoproteins than as total in immunodepleted plasma. Specifically, protein complement C3’s peptide IHWESASLLR, had unadjusted p values of 0.00007, 0.00012, and 0.0006 and overall 1.25, 1.17, 1.14-fold changes in VLDL, IDL, and LDL, respectively. After positive False Discovery Rate (pFDR) adjustment, the complement C3 peptide IHWESASLLR in VLDL remained statistically different (adjusted p value?<?0.05).

Discussion

The findings may warrant future studies to investigate plasma lipoproteome when measured in individual plasma lipoprotein fractions for AD diagnosis.