Early-stage Alzheimer's Disease Patients Research Articles

Design and Evaluation of a Comprehensive Assistance App for Early-Stage Alzheimer's Patients

This study endeavors to create and assess a specialized mobile application (app) designed to cater to the unique needs of individuals in the early stages of Alzheimer's disease (AD). The ultimate goal is to improve their daily life management. This abstract offers a comprehensive overview of the research, encompassing the research context, problem analysis, design principles, user interface development, and evaluation of the app's users. Throughout the study, rigorous scholarly standards are upheld, with the inclusion of citations from academic literature to support the assertions put forth. The research context highlights the increasing prevalence of Alzheimer's disease and the growing importance of developing supportive tools for affected individuals. The problem investigation delves into the specific challenges faced by early-stage AD patients in their daily lives, such as memory deficits and cognitive impairments, emphasizing the need for tailored solutions. In the design phase, the study outlines the principles guiding the app's development, emphasizing user-centered design and accessibility. The user interface development section provides insights into the app's visual and interactive elements, with a focus on simplicity and usability to accommodate the cognitive limitations of the target audience. Furthermore, the paper discusses the rigorous evaluation process undertaken to gauge the app's effectiveness in improving daily life management for early-stage AD patients. This evaluation includes user feedback, usability testing, and performance metrics, ensuring that the app meets its intended objectives. Throughout this research, citations from academic literature are incorporated to validate the research findings and demonstrate the scholarly rigor of the study.

Multi-proteomic analyses of 5xFAD mice reveal new molecular signatures of early-stage Alzheimer's disease.

An early diagnosis of Alzheimer's disease is crucial as treatment efficacy is limited to the early stages. However, the current diagnostic methods are limited to mid or later stages of disease development owing to the limitations of clinical examinations and amyloid plaque imaging. Therefore, this study aimed to identify molecular signatures including blood plasma extracellular vesicle biomarker proteins associated with Alzheimer's disease to aid early-stage diagnosis. The hippocampus, cortex, and blood plasma extracellular vesicles of 3- and 6-month-old 5xFAD mice were analyzed using quantitative proteomics. Subsequent bioinformatics and biochemical analyses were performed to compare the molecular signatures between wild type and 5xFAD mice across different brain regions and age groups to elucidate disease pathology. There was a unique signature of significantly altered proteins in the hippocampal and cortical proteomes of 3- and 6-month-old mice. The plasma extracellular vesicle proteomes exhibited distinct informatic features compared with the other proteomes. Furthermore, the regulation of several canonical pathways (including phosphatidylinositol 3-kinase/protein kinase B signaling) differed between the hippocampus and cortex. Twelve potential biomarkers for the detection of early-stage Alzheimer's disease were identified and validated using plasma extracellular vesicles from stage-divided patients. Finally, integrin α-IIb, creatine kinase M-type, filamin C, glutamine γ-glutamyltransferase 2, and lysosomal α-mannosidase were selected as distinguishing biomarkers for healthy individuals and early-stage Alzheimer's disease patients using machine learning modeling with approximately 79% accuracy. Our study identified novel early-stage molecular signatures associated with the progression of Alzheimer's disease, thereby providing novel insights into its pathogenesis.

Comparison of 18F-FDG PET and arterial spin labeling MRI in evaluating Alzheimer’s disease and amnestic mild cognitive impairment using integrated PET/MR

BackgroundDeveloping biomarkers for early stage AD patients is crucial. Glucose metabolism measured by 18F-FDG PET is the most common biomarker for evaluating cellular energy metabolism to diagnose AD. Arterial spin labeling (ASL) MRI can potentially provide comparable diagnostic information to 18F-FDG PET in patients with neurodegenerative disorders. However, the conclusions about the diagnostic performance of AD are still controversial between 18F-FDG PET and ASL. This study aims to compare quantitative cerebral blood flow (CBF) and glucose metabolism measured by 18F-FDG PET diagnostic values in patients with Alzheimer’s disease (AD) and amnestic mild cognitive impairment (aMCI) using integrated PET/MR.ResultsAnalyses revealed overlapping between decreased regional rCBF and 18F-FDG PET SUVR in patients with AD compared with NC participants in the bilateral parietotemporal regions, frontal cortex, and cingulate cortex. Compared with NC participants, patients with aMCI exclusively demonstrated lower 18F-FDG PET SUVR in the bilateral temporal cortex, insula cortex, and inferior frontal cortex. Comparison of the rCBF in patients with aMCI and NC participants revealed no significant difference (P > 0.05). The ROC analysis of rCBF in the meta-ROI could diagnose patients with AD (AUC, 0.87) but not aMCI (AUC, 0.61). The specificity of diagnosing aMCI has been improved to 75.56% when combining rCBF and 18F-FDG PET SUVR.ConclusionASL could detect similar aberrant patterns of abnormalities compared to 18F-FDG PET in patients with AD compared with NC participants but not in aMCI. The diagnostic efficiency of 18F-FDG-PET for AD and aMCI patients remained higher to ASL. Our findings support that applying 18F-FDG PET may be preferable for diagnosing AD and aMCI.

The relationship between polypharmacy and physical performance in patients with early-stage Alzheimer’s disease

Introduction Our aim was to evaluate the association between polypharmacy and certain physical performance measures used to assess ambulation in early-stage Alzheimer patients. Materials and methods This cross-sectional study was conducted in the dementia outpatient clinic of a tertiary care center. The usage of five or more drugs per day was accepted as polypharmacy and patients with moderate and severe dementia were excluded. Usual gait speed (UGS), timed up and go (TUG), and chair sit-to-stand test (CSST) were applied to assess physical performance status. Results There were 134 participants in our study (67.9% female, mean age 80.2 ± 7.9 years) and 75 (56%) patients were polypharmacy patients. The patients with polypharmacy showed poor physical performance compared to the patients without polypharmacy (UGS p = .005, TUG p < .001, CSST p < .001). The parameters that were significantly higher and more common in the polypharmacy group were body mass index (p = .026), hypertension (p = .013), diabetes mellitus (p = .018), ischemic heart disease (p < .001), atrial fibrillation (p = .030), depression (p = .012), and hypothyroidism (p = .007). In multivariate analyses, polypharmacy was independently associated with slow UGS [Odds ratio (OR) 1.248 (95%) confidence interval (CI) 1.145–1.523, p = .007]; long TUG [OR 1.410 (95%) CI 1.146–1.736, p = .001]; and long CSST [OR 1.892 (95%) CI 1.389–2.578, p < .001]. Conclusion Our study demonstrated the association of polypharmacy with poor physical performance in patients with early stage Alzheimer’s disease. Prospective long-term studies investigating the relationship of polypharmacy and drug subgroups with physical performance in elderly patients with Alzheimer’s disease would be appropriate.

The autophagy protein Def8 is altered in Alzheimer's disease and Aβ42-expressing Drosophila brains

Alzheimer's disease (AD) is the most common neurodegenerative disorder, characterized by protein accumulation in the brain as a main neuropathological hallmark. Among them, Aβ42 peptides tend to aggregate and create oligomers and plaques. Macroautophagy, a form of autophagy characterized by a double-membrane vesicle, plays a crucial role in maintaining neuronal homeostasis by degrading protein aggregates and dysfunctional organelles as a quality control process. Recently, DEF8, a relatively uncharacterized protein, has been proposed as a participant in vesicular traffic and autophagy pathways. We have reported increased DEF8 levels in lymphocytes from mild cognitive impairment (MCI) and early-stage AD patients and a neuronal profile in a murine transgenic AD model. Here, we analyzed DEF8 localization and levels in the postmortem frontal cortex of AD patients, finding increased levels compared to healthy controls. To evaluate the potential function of DEF8 in the nervous system, we performed an in silico assessment of its expression and network profiles, followed by an in vivo evaluation of a neuronal Def8 deficient model using a Drosophila melanogaster model of AD based on Aβ42 expression. Our findings show that DEF8 is an essential protein for maintaining cellular homeostasis in the nervous system, and it is upregulated under stress conditions generated by Aβ42 aggregation. This study suggests DEF8 as a novel actor in the physiopathology of AD, and its exploration may lead to new treatment avenues.

Can you find it? Novel oddity detection task for the early detection of Alzheimer's disease.

We aimed to develop a measure to specifically assess the functioning of the perirhinal cortex (PRC), a brain structure affected very early in Alzheimer's disease (AD) pathology. In this novel task, participants were shown arrays of six complex figures and had to identify the "odd-one." The pilot study included 50 normal controls (NCs) and 50 patients in very early stages of AD. Participants completed the task and received MRI scanning. Best differentiating items were determined and applied in a validation study including 25 NCs, 27 early-stage AD patients, and 26 patients with major depression. Logistic regression models investigated if task performance predicted group membership. Task performance was then related to whole-brain gray matter integrity. As proof of concept, cortical thickness values of four regions of interest (ROIs; e.g., medial PRC and entorhinal cortex [ERC]) were compared between the groups. The associations of task performance and cortical thickness of the ROIs were investigated using linear models. Task performance showed good discriminative ability between early-stage AD patients and NCs. Whole-brain analyses revealed four significant clusters (p < .001) with peak voxels in parahippocampal regions including PRC and ERC. ROI analyses showed distinctly reduced cortical thickness in the AD group compared to both other groups in the medial PRC and ERC (p ≤ .001). Task performance modeled by ROI cortical thickness did not achieve significant results. Although further validation is needed, especially with age-matched participant groups, these findings indicate that the task detects early cognitive impairment related to AD. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Toward Reagent-Free Discrimination of Alzheimer's Disease Using Blood Plasma Spectral Digital Biomarkers and Machine Learning.

Alzheimer's disease (AD) is the most prevalent neurodegenerative disease. The detection of early-stage AD is particularly desirable because it would allow early intervention. However, a minimally invasive, low-cost, and accurate discrimination or diagnostic method for AD is especially difficult in the earliest stage of AD. The aim of this research is to discover blood plasma spectral digital biomarkers of AD, develop a novel intelligent method for the discrimination of AD and accelerate the translation of Fourier transform infrared (FTIR) spectral-based disease discrimination methods from the laboratory to clinical practice. Since vibration spectroscopy can provide the structure and chemical composition information of biological samples at the molecular level, we investigated the potential of FTIR spectral biomarkers of blood plasma to differentiate between AD patients and healthy controls. Combined with machine learning technology, we designed a hierarchical discrimination system that provides reagent-free and accurate AD discrimination based on blood plasma spectral digital biomarkers of AD. Accurate segregation between AD patients and healthy controls was achieved with 89.3% sensitivity and 85.7% specificity for early-stage AD patients, 92.8% sensitivity and 87.5% specificity for middle-stage AD patients, and 100% sensitivity and 100% specificity for late-stage AD patients. Our results show that blood plasma spectral digital biomarkers hold great promise as discrimination markers of AD, indicating the potential for the development of an inexpensive, reagent-free, and less laborious clinical test. As a result, our research outcome will accelerate the clinical application of spectral digital biomarkers and machine learning.

Balance performance measured by posturography in mild-moderate Alzheimer's Disease: An undervalued assessment

PurposeThe aim of the study was to compare balance performance in mild-moderate stage Alzheimer's disease (AD) patients and healthy peers using clinical balance tests and computerized posturography. MethodsWe recruited 95 patients and divided them into two groups; 51 patients (62 % (n=32) female) in AD group and 44 patients in healthy controls group (50 % (n=22) female). Berg Balance Scale (BBS) and Timed Up & Go (TUG) test were performed. Computerized posturography was performed. ResultsThe mean age was 77.2±5.5 years in the AD group and 73.8±4.4 years in the control group (p<0.001). Sensory organization test composite equilibrium score (60[30-81], p<0.001), step quick turn-sway velocity (69.2 [38.2-95.8], p<0.001) and step quick turn-time (3.8 [1.6-8.4], p<0.001) were significantly impaired in mild-moderate stage AD patients. Berg Balance Scale (50 [32-56], p<0.001) and TUG test (13.0 [7.0-25.7], p<0.001) results were worse in AD. ConclusionsComputerized posturography measures were impaired in mild-moderate AD patients. The results highlight importance of early screening for balance and fall risk in AD patients. The study provides multi-dimensional and holistic assessment of balance performance in early-stage AD patients. Alzheimer's disease patients at earlier stages are prone to fall risk and should be evaluated accordingly.

The Effect of IMS on Cognitive and Behavioral Abilities of mutant Drosophila, causing Neuroplasticity

The goal of this experiment was to determine the effect of the Intermediate Metabolic Switching (IMS) diet on the short and long-term memory of mutant Drosophila due to neuroplasticity. Neuroplasticity creates new neural networks and can be measured in ketone count. The IMS diet includes two components: fasting and a low-carbohydrate, high-fat diet. The Phenol-Sulfuric Acid Test and the Hanus Iodine Solution Test were both used to quantify two ratios, a 2:2 ratio carbs to fats, and the 4:1 ratio fats to carbs. It was hypothesized that if fruit flies are fed the IMS diet, leading to plasticity, then their overall memory and behavioral health will increase because of the amount of ketones released, increasing memory formation. Mutant Drosophila tested, which lacked the Amyloid-Precursor Protein-like gene (APPL), exhibited similarities to early-stage Alzheimer's patients. Assays include the Aversive Phototaxic Suppression Assay to measure short term memory, the Aversive Pavlovian Olfactory Assay to measure long-term memory, the Drosophila Activity Monitor software to track movement of Drosophila, the Drosophila Stress Odorent (dSO) Assay to measure mood changes, and the ß-Hydroxybutyrate Ketone Quantification assay to measure ketone levels and ensure the IMS diet worked. Results were all conclusive, establishing that the flies in the 4:1 diet were more sensitive but retain short and long term memory, showing IMS could be used as a preventative mechanism for Alzheimer’s.

Brief Test of Olfactory Dysfunction Based on Diagnostic Features of Specific Odors in Early-Stage Alzheimer Disease.

BACKGROUND Olfactory impairment is an early symptom of Alzheimer disease (AD). However, it is rarely assessed in clinical practice. This study aimed to assess the identification and discrimination of specific odors in patients with early-stage AD using the Sniffin' Sticks test and determine the items that would be most valuable in the diagnosis of early-stage AD in order to create a brief test of olfactory dysfunction. MATERIAL AND METHODS Three groups of participants were enrolled, including 30 patients with mild cognitive impairment due to AD (MCI-AD group), 30 with mild dementia due to AD (MD-AD group), and 30 older participants with normal cognition (NC group). All participants underwent cognitive (Clinical Dementia Rating, Mini-Mental State Examination, Alzheimer's Disease Assessment Scale-Cognitive Subscale, and verbal fluency tests) and olfactory (Burghart Sniffin' Sticks odor identification and odor discrimination tests) assessments. RESULTS The MD-AD group scored significantly lower than the MCI-AD group and the MCI-AD group scored significantly lower than the NC group in both the odor identification (P<0.001) and discrimination (P<0.05) tasks. The shortened versions of the odor identification and discrimination tasks showed good diagnostic properties in differentiating patients with AD from the NC participants (receiver operating characteristic [ROC] area under the curve [AUC]=0.912 and 0.954, respectively) and differentiating patients with MCI-AD from the NC participants (ROC AUC=0.871 and 0.959, respectively). CONCLUSIONS The brief versions of olfactory tests, containing selected items that were found to differ the most between cognitively normal participants and early-stage AD patients, have good diagnostic qualities and can aid clinicians in screening for early-stage AD.

Discrepancy of synaptic and microtubular protein phosphorylation in the hippocampus of APP/PS1 and MAPT×P301S transgenic mice at the early stage of Alzheimer's disease.

Alzheimer's disease (AD) is the most common neurodegenerative disorder, and is caused by multiple pathological factors, such as the overproduction of β-amyloid (Aβ) and the hyperphosphorylation of tau. However, there is limited knowledge of the mechanisms underlying AD pathogenesis and no effective biomarker for the early diagnosis of this disorder. Thus in this study, a quantitative phosphoproteomics analysis was performed to evaluate global protein phosphorylation in the hippocampus of Aβ overexpressing APP/PS1 transgenic mice and tau overexpressing MAPT×P301S transgenic mice, two in vivo AD model systems. These animals, up to ten weeks old, do not exhibit cognitive dysfunctions and are widely used to simulate early-stage AD patients. The number of differentially phosphorylated proteins (DPPs) was greater for APP/PS1 transgenic mice than for MAPT×P301S transgenic mice. The function of the DPPs in APP/PS1 transgenic mice was mainly related to synapses, while the function of the DPPs in MAPT×P301S transgenic mice was mainly related to microtubules. In addition, an AD core network was established including seven phosphoproteins differentially expressed in both animal models, and the function of this core network was related to synapses and oxidative stress. The results of this study suggest that Aβ and tau induce different protein phosphorylation profiles in the early stage of AD, leading to the dysfunctions in synapses and microtubule, respectively. And the detection of same DPPs in these animal models might be used for early AD diagnosis.

The Rationale for Radiation Therapy in Alzheimer's Disease.

Alzheimer's Disease (AD) represents a major health problem without effective treatments. As the incidence of the disease will continue to rise, it is imperative to find new treatment options to halt or slow disease progression. In recent years, several groups have begun to study the utility of low total dose radiation therapy (LTDRT) to inhibit some of the pathological features of AD and improve cognition in a variety of animal models. These preclinical studies have led to Phase 1 and 2 trials in different centers around the world. In this review, we present and interpret the pre-clinical evidence report some preliminary clinical data from a Phase 2 trial in early-stage AD patients.

Polyunsaturated Fatty Acids Mend Macrophage Transcriptome, Glycome, and Phenotype in the Patients with Neurodegenerative Diseases, Including Alzheimer's Disease.

Macrophages of healthy subjects have a pro-resolution phenotype, upload amyloid-β (Aβ) into endosomes, and degrade Aβ, whereas macrophages of patients with Alzheimer's disease (AD) generally have a pro-inflammatory phenotype and lack energy for brain clearance of Aβ. To clarify the pathogenesis of sporadic AD and therapeutic effects of polyunsaturated fatty acids (PUFA) with vitamins B and D and antioxidants on monocyte/macrophage (MM) migration in the AD brain, MM transcripts in energy and Aβ degradation, MM glycome, and macrophage clearance of Aβ. We followed for 31.3 months (mean) ten PUFA-supplemented neurodegenerative patients: 3 with subjective cognitive impairment (SCI), 2 with mild cognitive impairment (MCI), 3 MCI/vascular cognitive impairment, 2 with dementia with Lewy bodies, and 7 non-supplemented caregivers. We examined: monocyte migration in the brain and a blood-brain barrier model by immunochemistry and electron microscopy; macrophage transcriptome by RNAseq; macrophage glycome by N-glycan profiling and LTQ-Orbitrap mass spectrometry; and macrophage phenotype and phagocytosis by immunofluorescence. MM invade Aβ plaques, upload but do not degrade Aβ, and release Aβ into vessels, which develop cerebrovascular amyloid angiopathy (CAA); PUFA upregulate energy and Aβ degradation enzyme transcripts in macrophages; PUFA enhance sialylated N-glycans in macrophages; PUFA reduce oxidative stress and increase pro-resolution MM phenotype, mitochondrial membrane potential, and Aβ phagocytosis (p < 0.001). Macrophages of SCI, MCI, and AD patients have interrelated defects in the transcriptome, glycome, Aβ phagocytosis, and Aβ degradation. PUFA mend macrophage transcriptome, enrich glycome, enhance Aβ clearance, and benefit the cognition of early-stage AD patients.

Identification of novel regulators involved in AD pathogenesis using the CRISPR-Cas9 system

The production of amyloid β peptide (Aβ) is an important process relating to the pathogenesis of Alzheimer disease (AD). It is widely known that the sequential cleavage of amyloid precursor protein (APP) by β- and γ-secretases lead to the production of Aβ. However, the precise regulatory mechanism for Aβ production remains unclear. We have established a CRISPR-Cas9 based screening system to identify the novel regulators of Aβ production. Calcium and integrin-binding protein 1 (CIB1) was identified as a novel potential negative regulator of Aβ production. The knockdown and knockout of Cib1 significantly increased Aβ levels. In addition, immunoprecipitation showed that CIB1 interacts with the γ-secretase complex but did not alter its enzymatic activity. Moreover, Cib1 disruption specifically reduced the cell-surface localization of the γ-secretase complex. Finally, the single-cell RNA-seq analysis in the human brain demonstrated that early-stage AD patients have lower neuronal CIB1 mRNA levels compared to healthy controls. Taken together, we have shown that CIB1 controls the subcellular localization of γ-secretase, resulting in the regulation of Aβ production, suggesting the involvement of CIB1 in the development of AD pathogenesis.

Activating transcription factor 4-dependent lactate dehydrogenase activation as a protective response to amyloid beta toxicity.

Accumulation of amyloid beta peptides is thought to initiate the pathogenesis of Alzheimer's disease. However, the precise mechanisms mediating their neurotoxicity are unclear. Our microarray analyses show that, in Drosophila models of amyloid beta 42 toxicity, genes involved in the unfolded protein response and metabolic processes are upregulated in brain. Comparison with the brain transcriptome of early-stage Alzheimer's patients revealed a common transcriptional signature, but with generally opposing directions of gene expression changes between flies and humans. Among these differentially regulated genes, lactate dehydrogenase (Ldh) was up-regulated by the greatest degree in amyloid beta 42 flies and the human orthologues (LDHA and LDHB) were down-regulated in patients. Functional analyses revealed that either over-expression or inhibition of Ldh by RNA interference (RNAi) slightly exacerbated climbing defects in both healthy and amyloid beta 42-induced Drosophila. This suggests that metabolic responses to lactate dehydrogenase must be finely-tuned, and that its observed upregulation following amyloid beta 42 production could potentially represent a compensatory protection to maintain pathway homeostasis in this model, with further manipulation leading to detrimental effects. The increased Ldh expression in amyloid beta 42 flies was regulated partially by unfolded protein response signalling, as ATF4 RNAi diminished the transcriptional response and enhanced amyloid beta 42-induced climbing phenotypes. Further functional studies are required to determine whether Ldh upregulation provides compensatory neuroprotection against amyloid beta 42-induced loss of activating transcription factor 4 activity and endoplasmatic reticulum stress. Our study thus reveals dysregulation of lactate dehydrogenase signalling in Drosophila models and patients with Alzheimer's disease, which may lead to a detrimental loss of metabolic homeostasis. Importantly, we observed that down-regulation of ATF4-dependent endoplasmic reticulum-stress signalling in this context appears to prevent Ldh compensation and to exacerbate amyloid beta 42-dependent neuronal toxicity. Our findings, therefore, suggest caution in the use of therapeutic strategies focussed on down-regulation of this pathway for the treatment of Alzheimer's disease, since its natural response to the toxic peptide may induce beneficial neuroprotective effects.

A systems-biology clinical trial of a personalized multimodal lifestyle intervention for early Alzheimer's disease.

IntroductionThere is an urgent need to develop effective interventional treatments for people with Alzheimer's disease (AD). AD results from a complex multi‐decade interplay of multiple interacting dysfunctional biological systems that have not yet been fully elucidated. Epidemiological studies have linked several modifiable lifestyle factors with increased incidence for AD. Because monotherapies have failed to prevent or ameliorate AD, interventional studies should deploy multiple, targeted interventions that address the dysfunctional systems that give rise to AD.MethodsThis randomized controlled trial (RCT) will examine the efficacy of a 12‐month personalized, multimodal, lifestyle intervention in 60 mild cognitive impairment (MCI) and early stage AD patients (aged 50+, amyloid positivity). Both groups receive data‐driven, lifestyle recommendations designed to target multiple systemic pathways implicated in AD. One group receives these personalized recommendations without coaching. The other group receives personalized recommendations with health coaching, dietary counseling, exercise training, cognitive stimulation, and nutritional supplements. We collect clinical, proteomic, metabolomic, neuroimaging, and genetic data to fuel systems‐biology analyses. We will examine effects on cognition and hippocampal volume. The overarching goal of the study is to longitudinally track biological systems implicated in AD to reveal the dynamics between these systems during the intervention to understand differences in treatment response.ResultsWe have developed and implemented a protocol for a personalized, multimodal intervention program for early AD patients. We began enrollment in September 2019; we have enrolled a third of our target (20 of 60) with a 95% retention and 86% compliance rate.DiscussionThis study presents a paradigm shift in designing multimodal, lifestyle interventions to reduce cognitive decline, and how to elucidate the biological systems being targeted. Analytical efforts to explain mechanistic or causal underpinnings of individual trajectories and the interplay between multi‐omic variables will inform the design of future hypotheses and development of effective precision medicine trials.

Alzheimer's disease as a systems network disorder: chronic stress/dyshomeostasis, innate immunity, and genetics.

Ineffective results of clinical trials of over 200 anti-Alzheimer's drug candidates, with a 99.6% attrition rate, suggest that the current paradigm of Alzheimer's disease (AD) may be incomplete, necessitating exploration of alternative and complementary frameworks.Using algorithms for hypothesis independent search and expert-assisted synthesis of heterogeneous data, we attempted to reconcile multimodal clinical profiles of early-stage AD patients and accumulated research data within a parsimonious framework. Results of our analysis suggest that Alzheimer’s may not be a brain disease but a progressive system-level network disorder, which is driven by chronic network stress and dyshomeostasis. The latter can be caused by various endogenous and exogenous factors, such as chronic inflammatory conditions, infections, vascular dysfunction, head trauma, environmental toxicity, and immune disorders. Whether originating in the brain or on the periphery, chronic stress, toxicity, and inflammation are communicated to the central nervous system (CNS) via humoral and neural routes, preferentially targeting high-centrality regulatory nodes and circuits of the nervous system, and eventually manifesting as a neurodegenerative CNS disease.In this report, we outline an alternative perspective on AD as a systems network disorder and discuss biochemical and genetic evidence suggesting the central role of chronic tissue injury/dyshomeostasis, innate immune reactivity, and inflammation in the etiopathobiology of Alzheimer’s disease.

Bone metabolic biomarkers and bone mineral density in male patients with early-stage Alzheimer's disease.

Alzheimer's disease (AD), osteoporosis, and osteopenia are the most common diseases in older individuals and share some similar pathophysiological processes of degeneration. The aim of this study is to investigate the association between bone metabolic biomarkers, bone mineral density (BMD), and early-stage AD in men. Forty-two male early-stage AD patients and 40 age-matched healthy older volunteers were enrolled. Serum calcium, osteocalcin, 1,25(OH)2D3, urine deoxypyridinoline/creatinine (DPD/Cr) ratio, urine calcium/creatinine (Ca/Cr) ratio, and BMD were measured. The correlation between early-stage AD and bone quality was evaluated. The urine DPD/Cr, urine Ca/Cr, and serum osteocalcin levels in the early-stage AD patients were significantly higher than those in the healthy control (HC) group (P < 0.05). The BMD data showed that the cortical and total BMD at 38% of the tibial length in the early-stage AD patients were lower than those in the HC group (P < 0.05). Furthermore, there was a negative correlation between the Montreal Cognitive Assessment score and serum osteocalcin or urine DPD/Cr levels. Abnormal urine DPD/Cr, urine Ca/Cr, and cortical BMD levels were independent risk factors in male patients with early-stage AD. Bone metabolic biomarkers and BMD are closely associated with early-stage AD in male patients. Our data indicated that the measurement of bone metabolic biomarkers and BMD may provide an alternative approach for screening AD patients at the early stage.

The Differences of Serum Metabolites Between Patients With Early-Stage Alzheimer's Disease and Mild Cognitive Impairment.

Background: Mild cognitive impairment (MCI) is regarded as a transition phase between normal aging and Alzheimer's disease (AD). Identification of novel and non-invasive biomarkers that can distinguish AD at an early stage from MCI is warranted for therapeutic and support planning. The goal of this study was to identify the differences of serum metabolomic profiles between MCI and early-stage AD, which could be potential non-invasive biomarkers for early diagnosis of AD.Methods: The subjects enrolled in the study were classified into two diagnostic groups: MCI (n = 40) and early-stage AD (n = 40). Targeted metabolomics analysis of serum samples was performed using the Biocrates Absolute-IDQ P180 kit. Targeted metabolic data were analyzed by TargetLynx, and MetIDQ software was applied to integrate the metabolites by automated calculation of metabolite concentrations.Results: The datasets of targeted metabolite analysis were analyzed by the orthogonal-projection-to-latent-structure–discriminant-analysis (OPLS-DA) model. The OPLS-DA score plots demonstrated considerable separation between the MCI and early-stage AD patients. The levels of pimelylcarnitine, putrescine, SM (OH) C24:1, and SM C24:0 were significantly lower, whereas the levels of acetylornithine, methionine sulfoxide, and PC ae C44:3 were significantly higher in early-stage AD patients as compared with MCI patients. Receiver operating characteristic curve analysis of a combination of three lipid metabolites [SM (OH) C24:1, SM C24:0, and PC ae C44:3] showed an acceptable discrimination between the early-stage AD and MCI patients (area under the curve = 0.788).Conclusions: Our results characterized the differences of serum metabolic profiles between MCI and early-stage AD patients. The positive findings from this study indicate that the minimally invasive method of blood sampling may help to identify patients with AD at an early stage from those with MCI.

It's about time: Adding processing to neuroemergentism

Alzheimer's disease (AD) patients are known to present semantic memory impairments, and semantic processing plays a crucial role in the formation of false memories. We assessed 40 early stage AD patients and 35 matched healthy volunteers with an emotional version of the Deese-Roediger-McDermott paradigm, which allows the study of false memory formation. Participants were presented with three negative, three neutral and three positive lists of words, each semantically associated to a critical unpresented word. After the presentation of the lists the volunteers were asked to respond to a recognition questionnaire stating whether these critical lures, as well as other presented and unpresented words, had been previously shown or not. We replicate the pattern of decreased discriminability between list-related and -unrelated items for AD patients compared to healthy seniors observed in previous studies. Moreover, like control participants, AD patients displayed enhanced true recognition for emotional materials, both positive and negative. With regards to false recognition, our data show decreased discriminability between related and unrelated lures for positive material. These results point out differential involvement of semantic-based information during memory formation in AD patients compared to healthy seniors. Nevertheless, our data indicate that emotional content effects over semantic-based false memory formation persist in this population, at least at early stages of disease development.