Strategy For Treatment Of Alzheimer's Disease Research Articles

Connexin43 Contributes to Alzheimer's Disease by Promoting the Mitochondria-Associated Membrane-Related Autophagy Inhibition.

The perturbed structure and function of mitochondria-associated membranes (MAM), instead of the amyloid cascade, have been gradually proposed to play a basic role in the pathogenesis of Alzheimer's disease (AD). Notably, autophagy inhibition is one of the main mechanisms of MAM dysfunction and plays an important role in neuronal injury. However, the upstream molecular mechanism underlying the MAM dysfunctions remains elusive. Here, we defined an unexpected and critical role of connexin43 (Cx43) in regulating the MAM structure. The expression levels of Cx43 and mitofusin-2 (MFN2, the MAM biomarker) increase significantly in 9-month-old APPswe/PS1dE9 double-transgenic AD model mice, and there is an obvious colocalization relationship. Moreover, both AD mice and cells lacking Cx43 exhibit an evident reduction in the MAM contact sites, which subsequently promotes the conversion from microtubule-associated protein 1 light-chain 3B I (LC3B-I) to LC3B-II via inhibition mTOR-dependent pathway and then initiates the generation of autophagosomes. Autophagosome formation ultimately promotes β-amyloid (Aβ) clearance and attenuates Aβ-associated pathological changes in AD, mainly including astrogliosis and neuronal apoptosis. Our findings not only reveal a previously unrecognized effect of Cx43 on MAM upregulation but also highlight the major player of MAM-induced autophagy inhibition in Cx43-facilitated AD pathogenesis, providing a novel insight into the alternative therapeutic strategies for the early treatment of AD.

A tailored phytosomes based nose-to-brain drug delivery strategy: Silver bullet for Alzheimer's disease

With the aging of the population, the incidence of Alzheimer's disease (AD) has increased dramatically, causing severe medical, care, and economic burdens on society and families. The efficacy of rivastigmine hydrogen tartrate (RHT), the first-line clinical treatment, is severely limited by the complex and multiple pathogenesis of AD and low brain bioavailability caused by the blood-brain barrier (BBB). Confronting such two bottlenecks, the development of multi-target agents encapsulated BBB-bypassing drug delivery systems offer tremendous therapeutics possibilities for AD. In this study, a tailored phytosomes based nose-to-brain drug delivery system with appropriate plume was successfully designed and developed. On the one hand, Ginseng RG3-based phytosomes loaded with RHT was designed for the co-delivery of GRg3 and RHT, achieving the multi-target pharmacology for AD treatment. On the other hand, a tailored nose-to-brain drug delivery system was established for the satisfactory nose-to-brain delivery efficiency, avoiding the obstacle of BBB through bypassing it. In the pharmacodynamic study based on AD rat model, GRg3@RHT exhibited obviously synergic effect, effectively break the vicious cycle of AD progression, ultimately markedly ameliorating learning and memory ability as well as behavioral dysfunctions, and delaying the neurodegenerative process associated with AD. In addition, the strong correlation of viscosity-droplet size-plume geometry-olfactory deposition was also established, and further proved by the in vivo pharmacokinetic study, which is proposed to provide evidence to enhance nose-to-brain delivery efficiency. This study is anticipated to provide novel insights into AD treatment strategies while offering innovative ideas for drug delivery approaches targeting nervous system disorders.

Dual-Carbon Dots Composite: A Multifunctional Photo-Propelled Nanomotor Against Alzheimer's β-Amyloid.

The abnormal accumulation of β-amyloid protein (Aβ) is considered as the main pathological hallmark of Alzheimer's disease (AD). The design of potent multifunctional theranostic agents targeting Aβ is one of the effective strategies for AD prevention and treatment. Nanomotors as intelligent, advanced, and multifunctional nanoplatforms can perform many complex tasks, but their application in AD theranostics is rare. Herein, sub-10nm multifunctional dual-carbon dots composites (ERCD) with photo-propelled nanomotor behavior are fabricated by conjugating near-infrared (NIR) carbon dots (RCD) of thermogenic and photodynamic capability with the previously reported epigallocatechin gallate-derived carbonized polymer dots (ECD). ERCD-1 (ECD:RCD = 1:2.5) showed potent inhibitory capability similar to ECD in the absence of NIR light, and exhibited photooxygenation activity and nanomotor behavior powered by "self-thermophoretic force" under NIR irradiation, significantly enhancing the inhibition, disaggregation, and photooxygenation capabilities. The nanomotor suppressed Aβ fibrillization and rapidly disaggregated mature Aβ fibrils at very low concentrations (0.5µg mL-1). Moreover, the NIR-activated ERCD-1 imaged Aβ plaques in vivo and prolonged nematode lifespan by 6 d at 2µg mL-1. As a proof-of-concept, this work opened a new avenue to the design of multifunctional sub-10nm nanomotors targeting Aβ for AD theranostics.

Knowledge-guided Deep Temporal Clustering for Alzheimer's Disease Subtypes in Completed Clinical Trials.

Alzheimer's disease (AD) is a multifaceted neurodegenerative disorder with varied patient progression. We aim to test the hypothesis that AD patients can be categorized into subgroups based on differences in progression. We leveraged data from three randomized clinical trials (RCTs) to develop a knowledge-guided, deep temporal clustering (KG-DTC) framework for AD subtyping. This model combined autoencoders for contextual information capture, k-means clustering for representation formation, and clinical outcome classification for clinical knowledge integration. The derived representations, encompassing demographics, APOE genotype, cognitive assessments, brain volumes, and biomarkers, were clustered using the Gaussian Mixture Model to identify AD subtypes. Our novel KG-DTC framework was developed using placebo data from 2,087 AD patients across three solanezumab clinical trials (EXPEDITION, EXPEDITION2, and EXPEDITION3), achieving high performance in outcome prediction and clustering. The KG-DTC model demonstrated superior clustering structures, especially when combined with k-means clustering loss. External validation with independent clinical trial data showed consistent clustering results, with a 0.33 silhouette score for three clusters. The model's stability was confirmed through a leave-one-out approach, with an average adjusted Rand Index around 0.945. Three distinct AD subtypes were identified, each exhibiting unique patterns of cognitive function, neurodegeneration, and amyloid beta levels. Notably, Subtype 3 (S3) showed rapid cognitive decline across multiple clinical measures (e.g., 0.64 in S1 vs. -1.06 in S2 vs. 15.09 in S3 of average ADAS total change score, p<.001). This innovative approach offers promising insights for understanding variability in treatment outcomes and personalizing AD treatment strategies.

Gene deletion of Pregnancy-associated Plasma Protein-A (PAPP-A) improves pathology and cognition in an Alzheimer's disease mouse model

Alzheimer's disease (AD) is a progressive neurodegenerative disease of age with no effective preventative or treatment approaches. Deeper understanding of the mechanisms underlying the accumulation of toxic β-amyloid oligopeptides and the formation of amyloid plaque in AD has the potential to identify new therapeutic targets. Prior research links the insulin-like growth factor (IGF) system to pathologic mechanisms underlying AD. Suppression of local IGF-I receptor (IGFIR) signaling in AD mice has been shown to reduce plaque formation in the brain and delay neurodegeneration and behavioral changes. However, direct inhibitors of IGFIR signaling are not a viable treatment option for AD due to the essentiality of the IGFIR in physiological growth and metabolism. We have previously demonstrated a more selective means to reduce local IGFIR signaling through inhibition of PAPP-A, a novel zinc metalloprotease that regulates local IGF-I bioavailability through cleavage of inhibitory IGF binding proteins. Here we tested if deletion of PAPP-A in a mouse model of AD provides protection against pathology and behavioral changes. We show that compared to AD mice, AD/PAPP-A KO mice had significantly less plaque burden, reduced astrocytic activation, decreased IGF-IR activity, and improved cognition. Human senile AD plaques showed specific immunostaining for PAPP-A. Thus, inhibition of PAPP-A expression or activity may represent a novel treatment strategy for AD.

Osmundacetone ameliorates Alzheimer's-like pathologies by inhibiting β-amyloid fibrillation, oxidative damage and neuroinflammation in APP/PS1 transgenic mice

Backgroundβ-Amyloid (Aβ) fibrillation is critical for Aβ deposition and cytotoxicity during the progression of Alzheimer's disease (AD). Consequently, anti-Aβ monoclonal antibody drugs targeting Aβ oligomers and aggregation are considered potential therapeutic strategies for AD treatment. Similar to the working mechanisms of anti-Aβ monoclonal antibody drugs, our study identified osmundacetone (OAC), a small-molecule compound isolated from the traditional Chinese medicine Rhizoma Osmundae, as exerting anti-AD effects by targeting Aβ. PurposeThis study sought to determine whether OAC influences the Aβ burden in APP/PS1 mice and to identify potential regulatory mechanisms. MethodsFive-month-old APP/PS1 mice were injected intraperitoneally with OAC at a dose of 1 mg/kg for 12 weeks. The cognitive functions of the mice were assessed via the Morris water maze test and the open field test. Osmundacetone was analyzed via molecular docking, an isothermal dose‒response fingerprint-cellular context thermal shift assay, a thioflavine T fluorescence assay, and an atomic force microscopy assay to analyze the effects of OAC on Aβ fibrillation. Immunofluorescence, immunoblotting, and immunohistochemistry were used to assess Aβ clearance, AD pathology, oxidative stress, and inflammatory responses. ResultsThe innovative biochemical and physical data illustrated that the ability of OAC to inhibit Aβ fibrillation was accomplished by binding directly to Aβ, which differed from the majority of previously reported natural polyphenols that modulate the Aβ content and structure in an indirect manner. The inhibition of Aβ fibrosis by OAC subsequently promoted Aβ lysosomal degradation, resulting in a decreased Aβ burden in APP/PS1 mice. Furthermore, OAC treatment inhibited oxidative damage by upregulating glutathione peroxidase expression and attenuated the production of inflammatory factors by downregulating nuclear factor-kB phosphorylation in APP/PS1 mice. ConclusionThese findings demonstrate, for the first time, that OAC could reduce the brain Aβ burden in APP/PS1 mice by inhibiting Aβ fibrillation through direct binding to Aβ and improve cognitive dysfunction by attenuating oxidative damage and neuroinflammation. These findings indicate that OAC may be a promising candidate for the treatment of AD.

Synthesis of Flavonoid/Sulfonamide Hybrid Molecules as Potential Inhibitors of Cholinesterases: In Vitro, Molecular Docking, Molecular Dynamic and DFT Studies

AbstractAcetylcholinesterase (AChE) and butyrylcholinesterase (BChE) belong to the serine hydrolase enzyme family and has been implicated to have a crucial role in the pathogenesis of Alzheimer's disease (AD). Generally, treatment strategies for AD has focused on the development of inhibitors of these enzymes. In light of this, a series of novel N‐(4‐sulfamoylphenyl)‐3‐methylflavone‐8‐carboxamide compounds were synthesized and their inhibition potentials on AChE and BChE were investigated. The results of the inhibition assay revealed that N‐(2,6‐dichloro‐4‐sulfamoylphenyl)‐3‐methylflavone‐8‐carboxamide was the most active inhibitor for AChE and BChE with Ki values of 4.2 nM and 0.15 μM, respectively. Compared to the standard drug rivastigmine all the synthesized compounds showed better AChE inhibition properties, while the BChE inhibition was comparable to the drug. The results indicate that N‐(2,6‐dichloro‐4‐sulfamoylphenyl)‐3‐methylflavone‐8‐carboxamide can be considered for further drug design studies and thus DFT analyses were conducted to clarify the electronic structures of the compound while molecular docking was performed to determine the binding affinities of the compound to target proteins. Lastly, molecular dynamics (MD) simulations were conducted to assess the time‐dependent behavioral changes of the complexes.

Mechanisms Underlying Obesity-induced Aβ Accumulation in Alzheimer's Disease: A Qualitative Review.

Epidemiological studies show that individuals with obesity are more likely to develop Alzheimer's disease (AD) than those who do not have obesity. However, the mechanisms underlying the relationship between obesity and AD are not entirely unclear. Here, we have reviewed and analyzed relevant articles published in the literature and found that obesity has correlation or potential increase in the levels of β-amyloid (Aβ) protein, which may explain why people with obesity are more likely to suffer from AD. Additionally, the published findings point to the roles of obesity-related metabolic disorders, such as diabetes, inflammation, oxidative stress, and imbalance in gut microbiota in Aβ accumulation caused by obesity. Therefore, in-depth experimental and clinical studies on these mechanisms in the future may help shed light on appropriate prevention and treatment strategies for AD, such as dietary changes and regular exercise to reverse or prevent obesity and related metabolic disorders.

Latest Perspectives on Alzheimer's Disease Treatment: The Role of Blood-Brain Barrier and Antioxidant-Based Drug Delivery Systems.

There has been a growing interest recently in exploring the role of the blood-brain barrier (BBB) in the treatment of Alzheimer's disease (AD), a neurodegenerative disorder characterized by cognitive decline and memory loss that affects millions of people worldwide. Research has shown that the BBB plays a crucial role in regulating the entry of therapeutics into the brain. Also, the potential benefits of using antioxidant molecules for drug delivery were highlighted in Alzheimer's treatment to enhance the therapeutic efficacy and reduce oxidative stress in affected patients. Antioxidant-based nanomedicine shows promise for treating AD by effectively crossing the BBB and targeting neuroinflammation, potentially slowing disease progression and improving cognitive function. Therefore, new drug delivery systems are being developed to overcome the BBB and improve the delivery of therapeutics to the brain, ultimately improving treatment outcomes for AD patients. In this context, the present review provides an in-depth analysis of recent advancements in AD treatment strategies, such as silica nanoparticles loaded with curcumin, selenium nanoparticles loaded with resveratrol, and many others, focusing on the critical role of the BBB and the use of antioxidant-based drug delivery systems.

Autoimmune hypothesis of Alzheimer's disease: unanswered question.

Alzheimer's disease (AD) was described more than a century ago. However, there are still no effective approaches to its treatment, which may suggest that the search for the cure is not being conducted in the most productive direction. AD begins as selective impairments of declarative memory with no deficits in other cognitive functions. Therefore, understanding of the AD pathogenesis has to include the understanding of this selectivity. Currently, the main efforts aimed at prevention and treatment of AD are based on the dominating hypothesis for the AD pathogenesis: the amyloid hypothesis. But this hypothesis does not explain selective memory impairments since β-amyloid accumulates extracellularly and should be toxic to all types of cerebral neurons, not only to "memory engram neurons." To explain selective memory impairment, I propose the autoimmune hypothesis of AD, based on the analysis of risk factors for AD and molecular mechanisms of memory formation. Memory formation is associated with epigenetic modifications of chromatin in memory engram neurons and, therefore, might be accompanied by the expression of memory-specific proteins recognized by the adaptive immune system as "non-self" antigens. Normally, the brain is protected by the blood-brain barrier (BBB). All risk factors for AD provoke BBB disruptions, possibly leading to an autoimmune reaction against memory engram neurons. This reaction would make them selectively sensitive to tauopathy. If this hypothesis is confirmed, the strategies for AD prevention and treatment would be radically changed.

Highly BBB-permeable nanomedicine reverses neuroapoptosis and neuroinflammation to treat Alzheimer's disease

The prevalence of Alzheimer's disease (AD) is increasing globally due to population aging. However, effective clinical treatment strategies for AD still remain elusive. The mechanisms underlying AD onset and the interplay between its pathological factors have so far been unclear. Evidence indicates that AD progression is ultimately driven by neuronal loss, which in turn is caused by neuroapoptosis and neuroinflammation. Therefore, the inhibition of neuroapoptosis and neuroinflammation could be a useful anti-AD strategy. Nonetheless, the delivery of active drug agents into the brain parenchyma is hindered by the blood-brain barrier (BBB). To address this challenge, we fabricated a black phosphorus nanosheet (BP)-based methylene blue (MB) delivery system (BP-MB) for AD therapy. After confirming the successful preparation of BP-MB, we proved that its BBB-crossing ability was enhanced under near-infrared light irradiation. In vitro pharmacodynamics analysis revealed that BP and MB could synergistically scavenge excessive reactive oxygen species (ROS) in okadaic acid (OA)-treated PC12 cells and lipopolysaccharide (LPS)-treated BV2 cells, thus efficiently reversing neuroapoptosis and neuroinflammation. To study in vivo pharmacodynamics, we established a mouse model of AD mice, and behavioral tests confirmed that BP-MB treatment could successfully improve cognitive function in these animals. Notably, the results of pathological evaluation were consistent with those of the in vitro assays. The findings demonstrated that BP-MB could scavenge excessive ROS and inhibit Tau hyperphosphorylation, thereby alleviating downstream neuroapoptosis and regulating the polarization of microglia from the pro-inflammatory M1 phenotype to the anti-inflammatory M2 phenotype. Overall, this study highlights the therapeutic potential of a smart nanomedicine with the capability of reversing neuroapoptosis and neuroinflammation for AD treatment.

Diosgenin-rich Yam (rhizome of Dioscorea batatas) extract ameliorates cognitive functions and plasma biomarkers for mild cognitive impairment and mild Alzheimer's disease: A randomized controlled trial

IntroductionIn Alzheimer's disease (AD), neural circuit disconnection primarily causes memory dysfunction, which leads to the hypothesis that repairing neural networks may be an appropriate treatment strategy for AD. We previously found that diosgenin stimulated neurite regeneration and synapse formation in AD model mice, and diosgenin-rich Yam extract enhanced cognitive function in healthy people and normal mice. In this study, we investigated the efficacy and safety of Yam extract in patients with mild cognitive impairment (MCI) and mild AD. MethodsPatients were administered either diosgenin-rich Yam extract or placebo, respectively, for 24 weeks. The primary outcome was cognitive function, which was evaluated using the Mini Mental State Examination Japanese version (MMSE-J), Alzheimer's Disease Assessment Scale-Cognition (ADAS-Cog), and verbal fluency test; the secondary outcomes were plasma biomarker levels [neurofilament light chain (NfL); axonal marker, glial fibrillary acidic protein levels; reactive astrocyte marker, and the Aβ42/40 ratio; marker of brain Aβ]. ResultsDiosgenin-rich Yam extract improved the ADAS-Cog Praxis domain score and plasma NfL (12 to 24 weeks) in all patients. The number of patients with improved/maintained ADAS-Cog total, Praxis or Memory scores was high in the Yam extract group, but not in placebo group. Divided by severity of pathology, diosgenin-rich Yam extract also improved the total and Memory domain in ADAS-Cog, and plasma NfL levels in patients with MCI. In the Yam extract group, improvement of MMSE-J was related to plasma Aβ42/40 increase, and improvement of plasma NfL was related to better MMSE-J. ConclusionTreatment with diosgenin-rich Yam extract for 24 weeks resulted in modest cognitive improvement and a decrease in plasma NfL levels, which may suggest axonal protection in the brain.

Deciphering the Role of Peroxisome Proliferator-activated Receptor α and Phosphodiesterase Type 5 Targets in Alzheimer's Disease.

The most prevalent cause of dementia is Alzheimer's disease (AD). Although the global AD rate is on a constant rise, medical research is yet to find a cure for this neurological condition. Current available therapeutic drugs for AD treatment only provide symptomatic alleviation. Therefore, it is essential to establish effective AD treatment strategies in addressing clinical needs. The development of disease-modifying treatments for use in the disease's early stages and the advancement of symptomatic drugs principally used in the disease's later stages are priorities in AD research. Given that the etiology of AD is difficult to comprehend, using a multimodal therapy intervention that targets molecular targets of AD-related degenerative processes is a practical strategy to change the course of AD progression. The current review article discussed PPAR-α (Peroxisome proliferator-activated receptor-α) and PDE5 (Phosphodiesterase type 5) targets with evidence for their preclinical and clinical importance. Furthermore, we support the targets with AD-related processes, functions, and remedial measures. A unique synergistic method for treating AD may involve the beneficial combinatorial targeting of these two receptors. Furthermore, we reviewed different PDE chemical families in this research and identified PDE5 inhibitors as one of the promising AD-related experimental and clinical disease-modifying medications. Lastly, we suggest jointly targeting these two pathways would be more beneficial than monotherapy in AD treatments.

Ketone body metabolism and the NLRP3 inflammasome in Alzheimer's disease.

Alzheimer's disease (AD) is a degenerative brain disorder and the most common form of dementia. AD pathology is characterized by senile plaques and neurofibrillary tangles (NFTs) composed of amyloid-β (Aβ) and hyperphosphorylated tau, respectively. Neuroinflammation has been shown to drive Aβ and tau pathology, with evidence suggesting the nod-like receptor family pyrin domain containing 3 (NLRP3) inflammasome as a key pathway in AD pathogenesis. NLRP3 inflammasome activation in microglia, the primary immune effector cells of the brain, results in caspase-1 activation and secretion of IL-1β and IL-18. Recent studies have demonstrated a dramatic interplay between the metabolic state and effector functions of immune cells. Microglial metabolism in AD is of particular interest, as ketone bodies (acetone, acetoacetate (AcAc), and β-hydroxybutyrate (BHB)) serve as an alternative energy source when glucose utilization is compromised in the brain of patients with AD. Furthermore, reduced cerebral glucose metabolism concomitant with increased BHB levels has been demonstrated to inhibit NLRP3 inflammasome activation. Here, we review the role of the NLRP3 inflammasome and microglial ketone body metabolism in AD pathogenesis. We also highlight NLRP3 inflammasome inhibition by several ketone body therapies as a promising new treatment strategy for AD.

Autoencoder to Identify Sex-Specific Sub-phenotypes in Alzheimer's Disease Progression Using Longitudinal Electronic Health Records.

Alzheimer's Disease (AD) is a complex neurodegenerative disorder significantly influenced by sex differences, with approximately two-thirds of AD patients being women. Characterizing the sex-specific AD progression and identifying its progression trajectory is a crucial step to developing effective risk stratification and prevention strategies. In this study, we developed an autoencoder to uncover sex-specific sub-phenotypes in AD progression leveraging longitudinal electronic health record (EHR) data from OneFlorida+ Clinical Research Consortium. Specifically, we first constructed temporal patient representation using longitudinal EHRs from a sex-stratified AD cohort. We used a long short-term memory (LSTM)-based autoencoder to extract and generate latent representation embeddings from sequential clinical records of patients. We then applied hierarchical agglomerative clustering to the learned representations, grouping patients based on their progression sub-phenotypes. The experimental results show we successfully identified five primary sex-based AD sub-phenotypes with corresponding progression pathways with high confidence. These sex-specific sub-phenotypes not only illustrated distinct AD progression patterns but also revealed differences in clinical characteristics and comorbidities between females and males in AD development. These findings could provide valuable insights for advancing personalized AD intervention and treatment strategies.

Tirzepatide shows neuroprotective effects via regulating brain glucose metabolism in APP/PS1 mice

Tirzepatide (LY3298176), a GLP-1 and GIP receptor agonist, is fatty-acid-modified and 39-amino acid linear peptide, which ameliorates learning and memory impairment in diabetic rats. However, the specific molecular mechanism remains unknown. In the present study, we investigated the role of tirzepatide in the neuroprotective effects in Alzheimer's disease (AD) model mice. Tirzepatide was administrated intraperitoneal (i.p.) APP/PS1 mice for 8 weeks with at 10 nmol/kg once-weekly, it significantly decreased the levels of GLP-1R, and GFAP protein expression and amyloid plaques in the cortex, it also lowered neuronal apoptosis induced by amyloid-β (Aβ), but did not affect the anxiety and cognitive function in APP/PS1 mice. Moreover, tirzepatide reduced the blood glucose levels and increased the mRNA expression of GLP-1R, SACF1, ATF4, Glu2A, and Glu2B in the hypothalamus of APP/PS1 mice. Tirzepatide increased the mRNA expression of glucose transporter 1, hexokinase, glucose-6-phosphate dehydrogenase, and phosphofructokinase in the cortex. Lastly, tirzepatide improved the energetic metabolism by regulated reactive oxygen species production and mitochondrial membrane potential caused by Aβ, thereby decreasing mitochondrial function and ATP levels in astrocytes through GLP-1R. These results provide valuable insights into the mechanism of brain glucose metabolism and mitochondrial function of tirzepatide, presenting potential strategies for AD treatment.

Alzheimer's Disease Knowledge Graph Enhances Knowledge Discovery and Disease Prediction.

Alzheimer's disease (AD), a progressive neurodegenerative disorder, continues to increase in prevalence without any effective treatments to date. In this context, knowledge graphs (KGs) have emerged as a pivotal tool in biomedical research, offering new perspectives on drug repurposing and biomarker discovery by analyzing intricate network structures. Our study seeks to build an AD-specific knowledge graph, highlighting interactions among AD, genes, variants, chemicals, drugs, and other diseases. The goal is to shed light on existing treatments, potential targets, and diagnostic methods for AD, thereby aiding in drug repurposing and the identification of biomarkers. We annotated 800 PubMed abstracts and leveraged GPT-4 for text augmentation to enrich our training data for named entity recognition (NER) and relation classification. A comprehensive data mining model, integrating NER and relationship classification, was trained on the annotated corpus. This model was subsequently applied to extract relation triplets from unannotated abstracts. To enhance entity linking, we utilized a suite of reference biomedical databases and refine the linking accuracy through abbreviation resolution. As a result, we successfully identified 3,199,276 entity mentions and 633,733 triplets, elucidating connections between 5,000 unique entities. These connections were pivotal in constructing a comprehensive Alzheimer's Disease Knowledge Graph (ADKG). We also integrated the ADKG constructed after entity linking with other biomedical databases. The ADKG served as a training ground for Knowledge Graph Embedding models with the high-ranking predicted triplets supported by evidence, underscoring the utility of ADKG in generating testable scientific hypotheses. Further application of ADKG in predictive modeling using the UK Biobank data revealed models based on ADKG outperforming others, as evidenced by higher values in the areas under the receiver operating characteristic (ROC) curves. The ADKG is a valuable resource for generating hypotheses and enhancing predictive models, highlighting its potential to advance AD's disease research and treatment strategies.

Epigenetics in the Development of Alzheimer’s Disease

Alzheimer's Disease (AD), a cause of dementia, has emerged as a significant public health concern that affects societies worldwide. Statistics of 2021 reveal that there are 55 million reported cases of this disease globally, this disease is characterized by the gradual deterioration of nerve cells in the brain, which inevitably leads to a decline in cognitive abilities. The progression of AD is significantly influenced by genetic factors. Scientific research has helped identify over 40 genetic risk loci that are associated with the disease, giving an idea on the molecular mechanisms behind its development. However, environmental factors and epigenetic modifications, which are changes in gene expression not caused by alterations in the DNA sequence, also play important roles in the disease's development and progression. The current treatment strategies for AD primarily aim to manage the symptoms and slow the rate of cognitive decline, but these treatments are not curative and the disease continues to progress. This underlines the importance of early diagnosis, which can significantly improve the effectiveness of these treatments. Decoding the role of genetics and epigenetics in the development of AD is key to identifying potential therapeutic targets and developing effective treatments. The understanding of these factors will provide valuable insights into the pathophysiology of AD, contributing to advancements in medical research and healthcare strategies aimed at combating the disease.

Natural Bioactive Compounds from Macroalgae and Microalgae for the Treatment of Alzheimer's Disease: A Review.

Neuroinflammation, toxic protein aggregation, oxidative stress, and mitochondrial dysfunction are key pathways in neurodegenerative diseases like Alzheimer's disease (AD). Targeting these mechanisms with antioxidants, anti-inflammatory compounds, and inhibitors of Aβ formation and aggregation is crucial for treatment. Marine algae are rich sources of bioactive compounds, including carbohydrates, phenolics, fatty acids, phycobiliproteins, carotenoids, fatty acids, and vitamins. In recent years, they have attracted interest from the pharmaceutical and nutraceutical industries due to their exceptional biological activities, which include anti-inflammation, antioxidant, anticancer, and anti-apoptosis properties. Multiple lines of evidence have unveiled the potential neuroprotective effects of these multifunctional algal compounds for application in treating and managing AD. This article will provide insight into the molecular mechanisms underlying the neuroprotective effects of bioactive compounds derived from algae based on in vitro and in vivo models of neuroinflammation and AD. We will also discuss their potential as disease-modifying and symptomatic treatment strategies for AD.

Norboldine improves cognitive impairment and pathological features in Alzheimer's disease by activating AMPK/GSK3β/Nrf2 signaling pathway

Ethnopharmacological relevanceLindera aggregata (Sims) Kosterm is a common traditional herb that has multiple bioactivities. Radix Linderae (LR), the dry roots of Lindera aggregata (Sims) Kosterm, is a traditional Chinese herbal medicine with antioxidant, anti-inflammatory and immunomodulatory properties, first found in Kaibao Era. Norboldine (Nor) is an alkaloid extracted from LR and is one of the primary active ingredients of LR. However, the pharmacological functions and mechanism of Nor in Alzheimer's disease (AD) are still unknown. Aim of the studyThis study aims to investigate the effect and mechanism of Nor therapy in improving the cognitive impairment and pathological features of 3 × Tg mice. Materials and methods3 × Tg mice were treated with two concentrations of Nor for one month and then the memory and cognitive abilities of mice were assessed by novel object recognition experiment and Morris water maze. The impact of Nor on the pathology of ADwere examined in PC12 cells and animal tissues using western blotting and immunofluorescence. Finally, western blotting was used to verify the anti-apoptotic effect of Nor by activating AMPK/GSK3β/Nrf2 signaling pathway at animal and cellular levels. ResultsIn this study, we showed that Nor treatment improved the capacity of the learning and memory of 3 × Tg mice and alleviated AD pathology such as Aβ deposition. In addition, Nor restored the abnormalities of mitochondrial membrane potential, significantly reduced the production of intracellular ROS and neuronal cell apoptosis. Mechanistically, we combined network pharmacology and experimental verification to show that Nor may exert antioxidant stress and anti-apoptotic through the AMPK/GSK3β/Nrf2 signaling pathway. ConclusionOur data provide some evidence that Nor exerts a neuroprotective effect through the AMPK/GSK3β/Nrf2 pathway, thereby improving cognitive impairment in AD model mice. Natural products derived from traditional Chinese medicines are becoming increasingly popular in the process of new drug development and discovery, and our findings provide new perspectives for the discovery of improved treatment strategies for AD.