Prevention Of Alzheimer's Disease Research Articles

Inequalities in the Prevention and Treatment of Alzheimer Disease.

Incidence of Alzheimer disease (AD) is going to rise in the next years and to become a health and social emergency. The prevention and the therapeutic management of AD still present unmet needs worldwide. The recent approval of monoclonal antibodies against amyloid β (anti-Aβ mAbs) for AD has increased the level of uncertainty regarding on how such drugs should be administered, to whom, and for how long. Concerns about cost-effectiveness ratios of anti-Aβ mAbs and the need for actual strategies of risk prevention have further dug barriers of inequalities between the national health care systems. Planning research to address questions on the real feasibility of the correct therapeutic management, improving international cooperation on surveillance of risk factors, implementing pathways for timely diagnosis, and effective medical and social support for patients with AD worldwide would be extremely valuable to fight against this upcoming pandemic.

Neuroprotective effects of Anshen Bunao Syrup on cognitive dysfunction in Alzheimer's disease rat models

Alzheimer's disease (AD) presents a significant challenge due to its prevalence and lack of cure, driving the quest for effective treatments. Anshen Bunao Syrup, a traditional Chinese medicine known for its neuroprotective properties, shows promise in addressing this need. However, understanding its precise mechanisms in AD remains elusive. This study aimed to investigate Anshen Bunao Syrup's therapeutic potential in AD treatment using a scopolamine-induced AD rat model. Assessments included novel-object recognition and Morris water maze tasks to evaluate spatial learning and memory, alongside Nissl staining and ELISA analyses for neuronal damage and biomarker levels. Results demonstrated that Anshen Bunao Syrup effectively mitigated cognitive dysfunction by inhibiting amyloid-β and phosphorylation Tau aggregation, thereby reducing neuronal damage. Metabolomics profiling of rats cortex revealed alterations in key metabolites implicated in tryptophan and fatty acid metabolism pathways, suggesting a role in the therapeutic effects of Anshen Bunao Syrup. Additionally, ELISA and correlation analyses indicated attenuation of oxidative stress and immune response through metabolic remodeling. In conclusion, this study provides compelling evidence for the neuroprotective effects of Anshen Bunao Syrup in AD models, shedding light on its potential as a therapeutic agent for AD prevention and treatment.

Blue paper on Alzheimer's disease in China(Simplified Version)

With the population aging, the prevalence and mortality rate of Alzheimer's disease (AD) have been rising in China. AD has become one of the biggest threats to population health and social sustainable development. In order to support the Healthy China Initiative and promote health in China, the Blue Paper on Alzheimer's Disease in China was compiled by experts from the National Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University; the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention; the National Health Commission Capacity Building and Continuing Education Center; and the China Population and Development Research Center. The epidemiology, diagnosis, treatment, and control of AD and related cognitive disorders in China were reviewed in this blue paper. This work aimed to provide references for the prevention, diagnosis, treatment, and related policy formulation of AD in China. Specifically, the blue paper covered the following topics of AD and related cognitive disorders: (1)epidemiology characteristics; (2)economic burden; (3)impact factors; (4)China Brain Cognitive Health Index; (5)the diagnosis of AD and related cognitive disorders; (6)the treatment of AD and related cognitive disorders; (7)national center for cognitive disorders;(8)community prevention and control; (9)patient care; (10)public health resources for prevention and control.

Mushroom-derived bioactive components with definite structures in alleviating the pathogenesis of Alzheimer’s disease

Alzheimer’s disease (AD) is a complicated neurodegenerative condition with two forms: familial and sporadic. The familial presentation is marked by autosomal dominance, typically occurring early in individuals under 65 years of age, while the sporadic presentation is late-onset, occurring in individuals over the age of 65. The majority of AD cases are characterized by late-onset and sporadic. Despite extensive research conducted over several decades, there is a scarcity of effective therapies and strategies. Considering the lack of a cure for AD, it is essential to explore alternative natural substances with higher efficacy and fewer side effects for AD treatment. Bioactive compounds derived from mushrooms have demonstrated significant potential in AD prevention and treatment by different mechanisms such as targeting amyloid formation, tau, cholinesterase dysfunction, oxidative stress, neuroinflammation, neuronal apoptosis, neurotrophic factors, ER stress, excitotoxicity, and mitochondrial dysfunction. These compounds have garnered considerable interest from the academic community owing to their advantages of multi-channel, multi-target, high safety and low toxicity. This review focuses on the various mechanisms involved in the development and progression of AD, presents the regulatory effects of bioactive components with definite structure from mushroom on AD in recent years, highlights the possible intervention pathways of mushroom bioactive components targeting different mechanisms, and discusses the clinical studies, limitations, and future perspectives of mushroom bioactive components in AD prevention and treatment.

Does sauna bathing prevent chronic obstructive pulmonary disease or Alzheimer's disease? May adults with cardiovascular disease use a sauna? A systematic review

Recently, there has been a surge of interest in sauna bathing and its role in health aspects. However, there are few studies focusing on the association between regular sauntering and the risk of dementia and chronic obstructive pulmonary disease (COPD). Considerably better understood are the effects on the cardiovascular system. This study delves into contemporary scientific research on Finnish saunas, exploring their potential correlation with Alzheimer's disease prevention, their impact on vascular health in adults with cardiovascular disorders, and their association with reducing the risk of chronic obstructive pulmonary disease. Scientific studies published in PubMed, Scopus and Google Scholar databases were analyzed, including terms related to Finnish sauna, dementia, COPD and cardiovascular disease. The methodological quality and results of each study were evaluated. Sauna bathing in addition to being a relaxing lifestyle habit, remains a potential additional strategy which can be used in improving cardiovascular function in adults with well-controlled cardiovascular disorders. A limited amount of research has been identified on the correlation between sauna bathing and reduced risk of Alzheimer's disease and COPD. The accumulating evidence suggests that frequent sauna bathing may reduce the risk or severity of several vascular and nonvascular conditions including COPD and also moderate to high frequency of sauna bathing was associated with lowered risks of dementia and Alzheimer’s disease. Further research is required, especially large-scale cohort studies with repeated measurement on sauna to establish the potential mechanisms linking sauna bathing and either memory diseases or COPD and better understand the relationship between sauntering and cardiovascular health. Upcoming studies may become very promising for the development of sauna bathing as a new non-pharmacological treatment or prevention of various diseases and improvement in the quality of life.

Understanding Health Beliefs and Health Behaviors in Older Adults at Risk for Alzheimer's Disease.

There are significant public health benefits to delaying the onset of Alzheimer's disease (AD) in individuals at risk. However, adherence to brain healthy behaviors is low. The Health Belief Model proposes that specific beliefs are mediators of behavior change. To characterize health belief measures from the Science of Behavior Change Research Network (SBCRN) in an older adult population and associations between health beliefs, AD risk, and current health behaviors. A total of 172 individuals from the Rhode Island AD Prevention Registry participated. SBCRN health belief measures included assessments of future time perspective, self-efficacy, deferment of gratification, and consideration of future consequences. Outcome measures included individual AD risk index score, dementia risk awareness, and lifestyle behaviors including physical, cognitive, and social activity. Participants who were older had higher scores for AD risk, lower future time perspective, and lower generalized self-efficacy (all at p < 0.001). Higher generalized self-efficacy was related to increased physical activity (p < 0.010). Higher future time perspective (p < 0.001) and generalized self-efficacy (p = 0.48) were associated with lower AD risk score. Subjective cognitive decline (SCD) was associated with lower self-efficacy, ability to delay gratification, and a less expansive future time perspective. Greater self-efficacy and perceived future time remaining were associated with lower AD risk and greater engagement in physical activity. SCD was associated with health beliefs that may negatively affect engagement in positive brain health behaviors. Assessment of and psychoeducation about these intrapersonal health belief constructs may be important targets for behavioral interventions to reduce AD risk.

Melatonin Inhibits Hypoxia-Induced Alzheimer's Disease Pathogenesis by Regulating the Amyloidogenic Pathway in Human Neuroblastoma Cells.

Stroke and Alzheimer's disease (AD) are prevalent age-related diseases; however, the relationship between these two diseases remains unclear. In this study, we aimed to investigate the ability of melatonin, a hormone produced by the pineal gland, to alleviate the effects of ischemic stroke leading to AD by observing the pathogenesis of AD hallmarks. We utilized SH-SY5Y cells under the conditions of oxygen-glucose deprivation (OGD) and oxygen-glucose deprivation and reoxygenation (OGD/R) to establish ischemic stroke conditions. We detected that hypoxia-inducible factor-1α (HIF-1α), an indicator of ischemic stroke, was highly upregulated at both the protein and mRNA levels under OGD conditions. Melatonin significantly downregulated both HIF-1α mRNA and protein expression under OGD/R conditions. We detected the upregulation of β-site APP-cleaving enzyme 1 (BACE1) mRNA and protein expression under both OGD and OGD/R conditions, while 10 µM of melatonin attenuated these effects and inhibited beta amyloid (Aβ) production. Furthermore, we demonstrated that OGD/R conditions were able to activate the BACE1 promoter, while melatonin inhibited this effect. The present results indicate that melatonin has a significant impact on preventing the aberrant development of ischemic stroke, which can lead to the development of AD, providing new insight into the prevention of AD and potential stroke treatments.

In Search for Low-Molecular-Weight Ligands of Human Serum Albumin That Affect Its Affinity for Monomeric Amyloid β Peptide.

An imbalance between production and excretion of amyloid β peptide (Aβ) in the brain tissues of Alzheimer's disease (AD) patients leads to Aβ accumulation and the formation of noxious Aβ oligomers/plaques. A promising approach to AD prevention is the reduction of free Aβ levels by directed enhancement of Aβ binding to its natural depot, human serum albumin (HSA). We previously demonstrated the ability of specific low-molecular-weight ligands (LMWLs) in HSA to improve its affinity for Aβ. Here we develop this approach through a bioinformatic search for the clinically approved AD-related LMWLs in HSA, followed by classification of the candidates according to the predicted location of their binding sites on the HSA surface, ranking of the candidates, and selective experimental validation of their impact on HSA affinity for Aβ. The top 100 candidate LMWLs were classified into five clusters. The specific representatives of the different clusters exhibit dramatically different behavior, with 3- to 13-fold changes in equilibrium dissociation constants for the HSA-Aβ40 interaction: prednisone favors HSA-Aβ interaction, mefenamic acid shows the opposite effect, and levothyroxine exhibits bidirectional effects. Overall, the LMWLs in HSA chosen here provide a basis for drug repurposing for AD prevention, and for the search of medications promoting AD progression.

Alzheimer’s disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network

Multi-modal data can provide complementary information of Alzheimer’s disease (AD) and its development from different perspectives. Such information is closely related to the diagnosis, prevention, and treatment of AD, and hence it is necessary and critical to study AD through multi-modal data. Existing learning methods, however, usually ignore the influence of feature heterogeneity and directly fuse features in the last stages. Furthermore, most of these methods only focus on local fusion features or global fusion features, neglecting the complementariness of features at different levels and thus not sufficiently leveraging information embedded in multi-modal data. To overcome these shortcomings, we propose a novel framework for AD diagnosis that fuses gene, imaging, protein, and clinical data. Our framework learns feature representations under the same feature space for different modalities through a feature induction learning (FIL) module, thereby alleviating the impact of feature heterogeneity. Furthermore, in our framework, local and global salient multi-modal feature interaction information at different levels is extracted through a novel dual multilevel graph neural network (DMGNN). We extensively validate the proposed method on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset and experimental results demonstrate our method consistently outperforms other state-of-the-art multi-modal fusion methods. The code is publicly available on the GitHub website. (https://github.com/xiankantingqianxue/MIA-code.git)

Neuroticism polygenic risk predicts conversion from mild cognitive impairment to Alzheimer's disease by impairing inferior parietal surface area.

The high prevalence of conversion from amnestic mild cognitive impairment (aMCI) to Alzheimer's disease (AD) makes early prevention of AD extremely critical. Neuroticism, a heritable personality trait associated with mental health, has been considered a risk factor for conversion from aMCI to AD. However, whether the neuroticism genetic risk could predict the conversion of aMCI and its underlying neural mechanisms is unclear. Neuroticism polygenic risk score (N-PRS) was calculated in 278 aMCI patients with qualified genomic and neuroimaging data from ADNI. After 1-year follow-up, N-PRS in patients of aMCI-converted group was significantly greater than those in aMCI-stable group. Logistic and Cox survival regression revealed that N-PRS could significantly predict the early-stage conversion risk from aMCI to AD. These results were well replicated in an internal dataset and an independent external dataset of 933 aMCI patients from the UK Biobank. One sample Mendelian randomization analyses confirmed a potentially causal association from higher N-PRS to lower inferior parietal surface area to higher conversion risk of aMCI patients. These analyses indicated that neuroticism genetic risk may increase the conversion risk from aMCI to AD by impairing the inferior parietal structure.

Borneol regulates meningeal lymphatic valve plasticity to clear Aβ aggregates in the prevention of AD-like symptoms

BackgroundMeningeal lymphatic vessels (mLVs) have great potential to be the therapeutic target for β Amyloid protein (Aβ) clearing in Alzheimer's disease (AD), but the regulatory methods of the mLVs are limited. The lymphatic valve, marked by FOXC2, is the fundamental structure for maintaining stable lymphatic drainage function. Preliminary evidence suggested that borneol (BO) as the classical phytochemicals could enhance the expression of FOXC2 in the mLVs of healthy mice. PurposeThis study aims to explore the regulatory ability of BO on lymphatic valves of mLVs in the AD model mice. Study DesignWe used the intracerebroventricular injection of Aβ42 oligomers to construct the AD-like symptoms model induced by toxic protein deposition. We administered BO nano micelles(BO-Ms) orally before and after to simulate the AD prevention and treatment strategy. MethodsHerein, this study characterized the efficacy and pathways of BO-Ms for regulating mLVs in AD model by Rt-PCR, WB and confocal microscopy, and determined the effects of BO-Ms on Aβ clearance, behavior and safety of AD mice. ResultsThe AD modeling process severely impaired the expression of lymphatic valves. However, after oral administering BO-Ms for prevention and treatment, an increase in the lymphatic valves of the transverse sinus was observed, which derived from the up-regulation of the transcription factor (FOXC2 and Akt) and the down-regulation of the transcription inhibitors (FOXO1 and PRDM1). Furthermore, the effects of BO-Ms on the lymphatic valves could enhance the lymphatic drainage of the mLVs in AD-like mice, promoting the clearance of toxicity aggregates, protecting neurons, and alleviating AD-like symptoms. Simultaneously, continuous oral BO-Ms for 30 days didn't show any significant organ toxicity. The most important thing was that the preventive effect of BO administration was superior to therapeutic administration in all data. ConclusionIn summary, our research indicated that BO is a promoter of lymphatic valve formation in the mLVs, and could prevent or repair damage caused by toxic Aβ42. BO was the only bioactive natural product with the ability to regulate mLVs valves. Thus, BO has the potential to become phytochemicals for alleviating AD symptoms by enhancing the drainage function of mLVs.

Selective orexin 2 receptor blockade alleviates cognitive impairments and the pathological progression of Alzheimer's disease in 3xTg-AD mice.

The orexin system is closely related to the pathogenesis of Alzheimer's disease (AD). Orexin-A aggravates cognitive dysfunction and increases amyloid β (Aβ) deposition in AD model mice, but studies of different dual orexin receptor (OXR) antagonists in AD have shown inconsistent results. Our previous study revealed that OX1R blockade aggravates cognitive deficits and pathological progression in 3xTg-AD mice, but the effects of OX2R and its potential mechanism in AD have not been reported. In the present study, OX2R was blocked by oral administration of the selective OX2R antagonist MK-1064, and the effects of OX2R blockade on cognitive dysfunction and neuropsychiatric symptoms in 3xTg-AD mice were evaluated via behavioral tests. Then, immunohistochemistry, western blotting and ELISA were used to detect Aβ deposition, tau phosphorylation and neuroinflammation, and electrophysiological and wheel-running activity recording were recorded to observe hippocampal synaptic plasticity and circadian rhythm. The results showed that OX2R blockade ameliorated cognitive dysfunction, improved LTP depression, increased the expression of PSD-95, alleviated anxiety- and depression-like behaviors and circadian rhythm disturbances in 3xTg-AD mice, and reduced Aβ pathology, tau phosphorylation and neuroinflammation in the brains of 3xTg-AD mice. These results indicated that chronic OX2R blockade exerts neuroprotective effects in 3xTg-AD mice by reducing AD pathology at least partly through improving circadian rhythm disturbance and the sleep-wake cycle and that OX2R might be a potential target for the prevention and treatment of AD; however, the potential mechanism by which OX2R exerts neuroprotective effects on AD needs to be further investigated.

Characterizing brain tau and cognitive decline along the amyloid timeline in Alzheimer's disease.

Recent longitudinal PET imaging studies have established methods to estimate the age at which amyloid becomes abnormal at the level of the individual. Here we recontextualized amyloid levels into the temporal domain to better understand the downstream Alzheimer's disease processes of tau neurofibrillary tangle (NFT) accumulation and cognitive decline. This cohort study included a total of 601 individuals from the Wisconsin Registry for Alzheimer's Prevention and Wisconsin Alzheimer's Disease Research Center that underwent amyloid and tau PET, longitudinal neuropsychological assessments, and met clinical criteria for three clinical diagnosis groups: cognitively unimpaired (CU; n=537); mild cognitive impairment (MCI; n=48); or dementia (n=16)). Cortical 11C-Pittsburgh compound B (PiB) distribution volume ratio (DVR) and sampled iterative local approximation were used to estimate amyloid positive (A+; global PiB DVR>1.16 equivalent to 17.1 Centiloids) onset age and years of A+ duration at tau PET (i.e., amyloid chronicity). Tau PET burden was quantified using 18F-MK-6240 standardized uptake value ratios (SUVRs; 70-90 min, inferior cerebellar gray matter reference region). Whole-brain and region-specific approaches were used to examine tau PET binding along the amyloid timeline and across the Alzheimer's disease clinical continuum. Voxel-wise 18F-MK-6240 analyses revealed that with each decade of A+, the spatial extent of measurable tau spread (i.e., progressed) from regions associated with early to late NFT tau stages. Regional analyses indicated that tau burden in the entorhinal cortex was detectable, on average, within ten years of A+ onset. Additionally, the entorhinal cortex was the region most sensitive to early amyloid pathology and clinical impairment in this predominantly preclinical sample. Among initially CU (n=472) individuals with longitudinal cognitive follow-up, mixed effects models showed significant linear and non-linear interactions of A+ duration and entorhinal tau on cognitive decline, suggesting a synergistic effect whereby greater A+ duration together with a higher entorhinal tau burden increases the likelihood of cognitive decline beyond their separable effects. Overall, the amyloid time framework enabled a spatiotemporal characterization of tau deposition patterns across the Alzheimer's disease continuum. This approach, which examined cross-sectional tau PET data along the amyloid timeline to make longitudinal disease-course inferences, demonstrated that A+ duration explains a considerable amount of variability in the magnitude and topography of tau spread, which largely recapitulated NFT staging observed in human neuropathological studies. By anchoring disease progression to the onset of amyloid, this study provides a temporal disease context which may help inform disease prognosis and timing windows for anti-amyloid therapies.

DNA tetrahedron-based dual-signal fluorescence detection of apoE4 gene sites on a microplate reader.

As a neurodegenerative disorder, Alzheimer's disease (AD) is characterized by cognitive dysfunction and behavioral impairment. Among the various genetic risk factors for AD, apoE4 gene plays a pivotal role in the onset and progression of AD, and detection of apoE4 gene holds significance for prevention and early diagnosis of AD. Herein, dual-signal fluorescence detection of fragments associated with apoE ε4 allele near codon 112 (Tc1) and codon 158 (Tc2) was achieved using DNA tetrahedron nanostructure (DTN). The Förster resonance energy transfer (FRET) process in the DTN was initiated in which the nucleic acid intercalating dye thiazole orange (TO) served as the donor and the cyanine dyes of cyanine3 (Cy3) and cyanine5 (Cy5) at the two vertices of DTN served as the acceptors. In the presence of Tc1 and Tc2, the FRET process between TO and the cyanine dyes was hindered by the enzymatic cleavage reaction, which ensures the dual-signal fluorescence assay of apoE4 gene sites. The limit of detection for Tc1 and Tc2 was estimated to be 0.82nM and 0.77nM, respectively, and the whole assay was accomplished within 1h on a microplate reader. The proposed method thus possesses the advantages of easy operation, short detection time, and high-throughput capability.

The NeuroProtect Formula: A Preventive Approach to AD Targeting the HIF-1/PI3K-AKT Signaling Pathway Evaluated through In Vivo, In Vitro, and Network Pharmacology Approaches.

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder with limited options for reversing its middle-to-late stages. Early intervention is crucial to slow down disease progression. This study aimed to investigate the potential of the NeuroProtect (NP) formula, a combination of geniposide and Panax notoginseng saponins, in preventing AD. We evaluated the effects of the NP formula on amyloid plaque accumulation, neuronal degeneration, and molecular signaling pathways using in vivo and in vitro models. To predict functional pathways and potential downstream targets of NP intervention, we employed network pharmacology. The preventative impact of the NP formula was assessed using APP/PS1 mice. We conducted HE staining, ELISA assay, Golgi staining, and immunohistochemistry to detect the protective effect of NP. Additionally, cell experiments were performed to assess cell activity and target protein expression. Network pharmacology analysis revealed 145 drug-disease interactions and identified 5 core active targets associated with AD. Molecular docking results demonstrated strong binding affinity between the components of the NP formula (GP, GN-Rb1, GN-Rg1, NS-R1) and target proteins (STAT3, HIF1A, TLR4, mTOR, VEGFA). Notably, the binding energy between NS-R1 and mTOR was -11.4kcal/mol. Among the top 10 enriched KEGG pathways, the HIF-1 and PI3K-AKT signaling pathways were highlighted. In vivo experiments demonstrated that the NP formula significantly ameliorated pathological changes, decreased the Aβ42/Aβ40 ratio in the hippocampus and cortex, and increased dendritic spine density in the CA1 region during the early stage of AD. In vitro experiments further illustrated the NP formula's ability to reverse the inhibitory effects of Aβ25-35 on cell viability and regulate the expression of Tlr4, Mtor, Hif1a, Stat3, and Vegfa. Our findings suggest that NP exhibits neuroprotective effects during the early stages of AD, positioning it as a potential candidate for AD prevention. The NP formula may exert its preventive effects through the HIF-1/PI3K-AKT signaling pathway, with mTOR identified as a key target.

Aniracetam: An Evidence-Based Model for Preventing the Accumulation of Amyloid-β Plaques in Alzheimer's Disease.

Alzheimer's disease is the leading cause of dementia in the world. It affects 6 million people in the United States and 50 million people worldwide. Alzheimer's disease is characterized by the accumulation of amyloid-β plaques (Aβ), an increase in tau protein neurofibrillary tangles, and a loss of synapses. Since the 1990s, removing and reducing Aβ has been the focus of Alzheimer's treatment and prevention research. The accumulation of Aβ can lead to oxidative stress, inflammation, neurotoxicity, and eventually apoptosis. These insults impair signaling systems in the brain, potentially leading to memory loss and cognitive decline. Aniracetam is a safe, effective, cognitive-enhancing drug that improves memory in both human and animal studies. Aniracetam may prevent the production and accumulation of Aβ by increasing α-secretase activity through two distinct pathways: 1) increasing brain derived neurotrophic factor expression and 2) positively modulating metabotropic glutamate receptors. This is the first paper to propose an evidence-based model for aniracetam reducing the accumulation and production of Aβ.

Repurposing non-pharmacological interventions for Alzheimer's disease through link prediction on biomedical literature

Non-pharmaceutical interventions (NPI) have great potential to improve cognitive function but limited investigation to discover NPI repurposing for Alzheimer's Disease (AD). This is the first study to develop an innovative framework to extract and represent NPI information from biomedical literature in a knowledge graph (KG), and train link prediction models to repurpose novel NPIs for AD prevention. We constructed a comprehensive KG, called ADInt, by extracting NPI information from biomedical literature. We used the previously-created SuppKG and NPI lexicon to identify NPI entities. Four KG embedding models (i.e., TransE, RotatE, DistMult and ComplEX) and two novel graph convolutional network models (i.e., R-GCN and CompGCN) were trained and compared to learn the representation of ADInt. Models were evaluated and compared on two test sets (time slice and clinical trial ground truth) and the best performing model was used to predict novel NPIs for AD. Discovery patterns were applied to generate mechanistic pathways for high scoring candidates. The ADInt has 162,212 nodes and 1,017,284 edges. R-GCN performed best in time slice (MR = 5.2054, Hits@10 = 0.8496) and clinical trial ground truth (MR = 3.4996, Hits@10 = 0.9192) test sets. After evaluation by domain experts, 10 novel dietary supplements and 10 complementary and integrative health were proposed from the score table calculated by R-GCN. Among proposed novel NPIs, we found plausible mechanistic pathways for photodynamic therapy and Choerospondias axillaris to prevent AD, and validated psychotherapy and manual therapy techniques using real-world data analysis. The proposed framework shows potential for discovering new NPIs for AD prevention and understanding their mechanistic pathways.

Association of genetically predicted 486 blood metabolites on the risk of Alzheimer's disease: a Mendelian randomization study.

Studies have reported that metabolic disturbance exhibits in patients with Alzheimer's disease (AD). Still, the presence of definitive evidence concerning the genetic effect of metabolites on AD risk remains insufficient. A systematic exploration of the genetic association between blood metabolites and AD would contribute to the identification of new targets for AD screening and prevention. We conducted an exploratory two-sample Mendelian randomization (MR) study aiming to preliminarily identify the potential metabolites involved in AD development. A genome-wide association study (GWAS) involving 7,824 participants provided information on 486 human blood metabolites. Outcome information was obtained from a large-scale GWAS meta-analysis of AD, encompassing 21,982 cases and 41,944 controls of Europeans. The primary two-sample MR analysis utilized the inverse variance weighted (IVW) model while supplementary analyses used Weighted median (WM), MR Egger, Simple mode, and Weighted mode, followed by sensitivity analyses such as the heterogeneity test, horizontal pleiotropy test, and leave-one-out analysis. For the further identification of metabolites, replication and meta-analysis with FinnGen data, steiger test, linkage disequilibrium score regression, confounding analysis, and were conducted for further evaluation. Multivariable MR was performed to assess the direct effect of metabolites on AD. Besides, an extra replication analysis with EADB data was conducted for final evaluation of the most promising findings. After rigorous genetic variant selection, IVW, complementary analysis, sensitivity analysis, replication and meta-analysis with the FinnGen data, five metabolites (epiandrosterone sulfate, X-12680, pyruvate, docosapentaenoate, and 1-stearoylglycerophosphocholine) were identified as being genetically associated with AD. MVMR analysis disclosed that genetically predicted these four known metabolites can directly influence AD independently of other metabolites. Only epiandrosterone sulfate and X-12680 remained suggestive significant associations with AD after replication analysis with the EADB data. By integrating genomics with metabonomics, this study furnishes evidence substantiating the genetic association of epiandrosterone sulfate and X-12680 with AD. These findings hold significance for the screening, prevention, and treatment strategies for AD.

Kai-xin-san improves cognitive impairment in D-gal and Aβ25-35 induced ad rats by regulating gut microbiota and reducing neuronal damage

Ethnopharmacological relevanceKai-Xin-San (KXS) is a classic herbal formula for the treatment and prevention of AD (Alzheimer's disease) with definite curative effect, but its mechanism, which involves multiple components, pathways, and targets, is not yet fully understood. Aim of the studyTo verify the effect of KXS on gut microbiota and explore its anti-AD mechanism related with gut microbiota. Materials and methodsAD rat model was established and evaluated by intraperitoneal injection of D-gal and bilateral hippocampal CA1 injections of Aβ25-35. The pharmacodynamics of KXS in vivo includes general behavior, Morris water maze test, ELISA, Nissl & HE staining and immunofluorescence. Systematic analysis of gut microbiota was conducted using 16S rRNA gene sequencing technology. The potential role of gut microbiota in the anti-AD effect of KXS was validated with fecal microbiota transplantation (FMT) experiments. ResultsKXS could significantly improve cognitive impairment, reduce neuronal damage and attenuate neuroinflammation and colonic inflammation in vivo in AD model rats. Nine differential intestinal bacteria associated with AD were screened, in which four bacteria (Lactobacillus murinus, Ligilactobacillus, Alloprevotella, Prevotellaceae_NK3B31_group) were very significant. ConclusionKXS can maintain the ecological balance of intestinal microbiota and exert its anti-AD effect by regulating the composition and proportion of gut microbiota in AD rats through the microbiota-gut-brain axis.

Aging as a target for the prevention and treatment of Alzheimer's disease.

Alzheimer's disease (AD), the most common etiology of dementia in older adults, is projected to double in prevalence over the next few decades. Current treatments for AD manage symptoms or slow progressive decline, but are accompanied by significant inconvenience, risk, and cost. Thus, a better understanding of the risk factors and pathophysiology of AD is needed to develop novel prevention and treatment strategies. Aging is the most important risk factor for AD. Elucidating molecular mechanisms of aging may suggest novel therapeutic targets. While aging is inevitable, it may be accelerated by caloric excess and slowed by caloric restriction (CR) or intermittent fasting. As such, CR may slow aging and reduce the risk of all diseases of aging, including dementia due to AD. The literature on CR, intermittent fasting, and treatment with polyphenols such as resveratrol-a pharmacologic CR-mimetic-supports this hypothesis based on clinical outcomes as well as biomarkers of aging and AD. More studies exploring the role of CR in regulating aging and AD progression in man are needed to fill gaps in our understanding and develop safer and more effective strategies for the prevention and treatment of AD.