scholarly journals The Application of Seaweed Polysaccharides and Their Derived Products with Potential for the Treatment of Alzheimer’s Disease

Marine Drugs ◽  
2021 ◽  
Vol 19 (2) ◽  
pp. 89
Author(s):  
Sarah Bauer ◽  
Weihua Jin ◽  
Fuming Zhang ◽  
Robert J. Linhardt
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neurodegenerative Diseases ◽  
Neurodegenerative Disease ◽  
Research Area ◽  
Important Research ◽  
Disease Treatment ◽  
Number Of Patients ◽  
Important Research Area

Neurodegenerative diseases are among the most widespread diseases affecting humans, and the number of patients is only rising. Seaweed polysaccharide extracts show significant neuroprotective and reparative activities. Seaweed polysaccharides might provide the next big breakthrough in neurodegenerative disease treatment. This paper reviews the applications of seaweed polysaccharides as potential treatments of neurodegenerative diseases. The particular focus is on fucoidan, ulvan, and their derivatives as potential agents to treat Alzheimer’s disease. This review provides a critical update on the progress in this important research area.

scholarly journals P38α MAPK Signaling—A Robust Therapeutic Target for Rab5-Mediated Neurodegenerative Disease

2020 ◽  
Vol 21 (15) ◽  
pp. 5485
Author(s):  
Ursula A. Germann ◽  
John J. Alam
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neurodegenerative Diseases ◽  
Neurodegenerative Disease ◽  
Therapeutic Target ◽  
Kinase Inhibitors ◽  
Mapk Signaling ◽  
Mitogen Activated Protein Kinase ◽  
Therapeutic Effects ◽  
P38α Kinase

Multifactorial pathologies, involving one or more aggregated protein(s) and neuroinflammation are common in major neurodegenerative diseases, such as Alzheimer’s disease and dementia with Lewy bodies. This complexity of multiple pathogenic drivers is one potential explanation for the lack of success or, at best, the partial therapeutic effects, respectively, with approaches that have targeted one specific driver, e.g., amyloid-beta, in Alzheimer’s disease. Since the endosome-associated protein Rab5 appears to be a convergence point for many, if not all the most prominent pathogenic drivers, it has emerged as a major therapeutic target for neurodegenerative disease. Further, since the alpha isoform of p38 mitogen-activated protein kinase (p38α) is a major regulator of Rab5 activity and its effectors, a biology that is distinct from the classical nuclear targets of p38 signaling, brain-penetrant selective p38α kinase inhibitors provide the opportunity for significant therapeutic advances in neurogenerative disease through normalizing dysregulated Rab5 activity. In this review, we provide a brief summary of the role of Rab5 in the cell and its association with neurodegenerative disease pathogenesis. We then discuss the connection between Rab5 and p38α and summarize the evidence that through modulating Rab5 activity there are therapeutic opportunities in neurodegenerative diseases for p38α kinase inhibitors.

scholarly journals DNA Methylation: A Promising Approach in Management of Alzheimer’s Disease and Other Neurodegenerative Disorders

Biology ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 90
Author(s):  
Gagandeep Kaur ◽  
Suraj Singh S. Rathod ◽  
Mohammed M. Ghoneim ◽  
Sultan Alshehri ◽  
Javed Ahmad ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Dna Methylation ◽  
Neurodegenerative Diseases ◽  
Epigenetic Modification ◽  
Research Area ◽  
Potential Biomarker ◽  
Novel Biomarkers ◽  
Different Populations

DNA methylation, in the mammalian genome, is an epigenetic modification that involves the transfer of a methyl group on the C5 position of cytosine to derive 5-methylcytosine. The role of DNA methylation in the development of the nervous system and the progression of neurodegenerative diseases such as Alzheimer’s disease has been an interesting research area. Furthermore, mutations altering DNA methylation affect neurodevelopmental functions and may cause the progression of several neurodegenerative diseases. Epigenetic modifications in neurodegenerative diseases are widely studied in different populations to uncover the plausible mechanisms contributing to the development and progression of the disease and detect novel biomarkers for early prognosis and future pharmacotherapeutic targets. In this manuscript, we summarize the association of DNA methylation with the pathogenesis of the most common neurodegenerative diseases, such as, Alzheimer’s disease, Parkinson’s disease, Huntington diseases, and amyotrophic lateral sclerosis, and discuss the potential of DNA methylation as a potential biomarker and therapeutic tool for neurogenerative diseases.

scholarly journals Significance of Hypouricaemia in the Development of Neurodegenerative Diseases

2021 ◽  
Vol 75 (2) ◽  
pp. 92-98
Author(s):  
Maximiliane Trapp ◽  
Anna Mihailova ◽  
Natalija Kakurina ◽  
Modra Murovska
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Uric Acid ◽  
Neurodegenerative Diseases ◽  
Neurodegenerative Disease ◽  
Vascular Dementia ◽  
Neuroprotective Effect ◽  
Significant Difference ◽  
Potential Risks

Abstract Hypouricaemia has received relatively little attention in the literature. As a result, there is less awareness or understanding of the potential risks of low uric acid levels. Emerging research indicates that normal uric acid levels may have an antioxidative and neuroprotective effect. This study aims to investigate possible associations between hypouricaemia and neurodegenerative disease. Data was collected from seventy-seven outpatients and inpatients who underwent routine uric acid testing, who were then stratified into patients with and without neurodegenerative disease. Patients with renal pathologies and patients using uric acid altering medications were excluded from the study. There was a significant difference in the prevalence of Alzheimer’s disease between hypouricemic and normouricemic patients (p = 0.001), however there was no difference in the prevalence of vascular dementia (p = 0.45). This study provides evidence that hypouricaemia has potential effects on health, specifically on the rate of neurodegenerative diseases such as Alzheimer’s disease and gives weight to the potential neuroprotective role of uric acid.

scholarly journals The role of mitochondria-targeted antioxidant MitoQ in neurodegenerative disease

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Linlin Zhang ◽  
Aurelio Reyes ◽  
Xiangdong Wang
Keyword(s):  
Oxidative Stress ◽  
Alzheimer’S Disease ◽  
Parkinson’S Disease ◽  
Alzheimer's Disease ◽  
Parkinson's Disease ◽  
Neurodegenerative Diseases ◽  
Mitochondrial Dysfunction ◽  
Neurodegenerative Disease ◽  
And Oxidative Stress

The discovery of charged molecules being able to cross the mitochondrial membrane has prompted many scholars to exploit this idea to find a way of preventing or slowing down aging. In this paper, we will focus on mitochondria-targeted antioxidants, which are cationic derivatives of plastoquinone, and in particular on the mitochondria-targeted antioxidant therapy of neurodegenerative diseases. It is well known that the accumulation of amyloid-β peptide (Aβ) in mitochondria and its related mitochondrial dysfunction are critical signatures of Alzheimer’s disease (AD). In another neurodegenerative disease, Parkinson’s disease (PD), the loss of dopaminergic neurons in the substantia nigra and the production of Lewy bodies are among their pathological features. Pathogenesis of Parkinson’s disease and Alzheimer’s disease has been frequently linked to mitochondrial dysfunction and oxidative stress. Recent studies show that MitoQ, a mitochondria-targeted antioxidant, may possess therapeutic potential for Aβ-related and oxidative stress-associated neurodegenerative diseases, especially AD. Although MitoQ has been developed to the stage of clinical trials in PD, its true clinical effect still need further verification. This review aims to discuss the role of mitochondrial pathology in neurodegenerative diseases, as well as the recent development of mitochondrial targeted antioxidants as a potential treatment for these diseases by removing excess oxygen free radicals and inhibiting lipid peroxidation in order to improve mitochondrial function.

scholarly journals Mild Cognitive Impairment Stratification by Artificial Intelligence on FDG PET

2021 ◽  
Author(s):  
Joan Prats-Climent ◽  
Maria Teresa Gandia-Ferrero ◽  
Irene Torres-Espallardo ◽  
Lourdes Álvarez-Sanchez ◽  
Begoña Martínez-Sanchis ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Neurodegenerative Diseases ◽  
Neurodegenerative Disease ◽  
Fdg Pet ◽  
Characteristic Curve ◽  
External Validation ◽  
Lewy Bodies

Abstract Purpose The purpose of this project is to develop and externally validate a Deep Learning (DL) FDG PET imaging algorithm able to identify patients with Alzheimer's Disease (AD), Frontotemporal Degeneration (FTD) and Dementia with Lewy Bodies (DLB) among a group of patients with Mild Cognitive Impairment (MCI). Methods A 3D Convolutional neural network, trained using images from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, was implemented. The ADNI dataset used for training and testing the model consisted of 822 subjects (472 AD and 350 MCI). The external validation was performed on an independent dataset from our hospital. The hospital real world dataset contains 90 subjects with MCI: 71 patients that developed a neurodegenerative disease (64 AD, 4 FTD and 3 DLB) and 19 subjects without associated neurodegenerative disease. Results The ADNI model had 79% accuracy, 88% sensitivity and 71% specificity in the identification of patients with neurodegenerative diseases tested on the 10% ADNI dataset, achieving an area under the receiver operating characteristic curve (AUC) of 0.897. When used for the external validation, the model preserved 77% accuracy, 75% sensitivity, 84% specificity and 0.860 area under the ROC curve. Conclusion This model based on FDG PET images can help the early non-invasive prediction of neurodegenerative diseases in MCI patients in standard clinical settings with an overall 77% classification accuracy.

Effect Of Nhexane Extract Of Caryota No Seed On Markers Of Neurodegeneration And Fecundity In Drosophila Melanogaster

2020 ◽  
Vol 6 (5) ◽  
pp. 1-7
Author(s):  
Chinonye A Maduagwuna ◽  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Drosophila Melanogaster ◽  
Neurodegenerative Diseases ◽  
Cognitive Functions ◽  
The Elderly ◽  
Common Cause ◽  
Chronic Neuroinflammation

Study background: Chronic neuroinflammation is a common emerging hallmark of several neurodegenerative diseases. Alzheimer’s Disease (AD) is the most common cause of dementia among the elderly and is characterized by loss of memory and other cognitive functions.

Identify Compounds' Target Against Alzheimer's Disease Based on In-Silico Approach

2019 ◽  
Vol 16 (3) ◽  
pp. 193-208 ◽  
Author(s):  
Yan Hu ◽  
Guangya Zhou ◽  
Chi Zhang ◽  
Mengying Zhang ◽  
Qin Chen ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Small Molecule ◽  
Characteristic Curve ◽  
Machine Learning Algorithms ◽  
Learner Model ◽  
Mao B ◽  
Number Of Patients ◽  
Sar Model ◽  
Set Up

Background: Alzheimer's disease swept every corner of the globe and the number of patients worldwide has been rising. At present, there are as many as 30 million people with Alzheimer's disease in the world, and it is expected to exceed 80 million people by 2050. Consequently, the study of Alzheimer’s drugs has become one of the most popular medical topics. Methods: In this study, in order to build a predicting model for Alzheimer’s drugs and targets, the attribute discriminators CfsSubsetEval, ConsistencySubsetEval and FilteredSubsetEval are combined with search methods such as BestFirst, GeneticSearch and Greedystepwise to filter the molecular descriptors. Then the machine learning algorithms such as BayesNet, SVM, KNN and C4.5 are used to construct the 2D-Structure Activity Relationship(2D-SAR) model. Its modeling results are utilized for Receiver Operating Characteristic curve(ROC) analysis. Results: The prediction rates of correctness using Randomforest for AChE, BChE, MAO-B, BACE1, Tau protein and Non-inhibitor are 77.0%, 79.1%, 100.0%, 94.2%, 93.2% and 94.9%, respectively, which are overwhelming as compared to those of BayesNet, BP, SVM, KNN, AdaBoost and C4.5. Conclusion: In this paper, we conclude that Random Forest is the best learner model for the prediction of Alzheimer’s drugs and targets. Besides, we set up an online server to predict whether a small molecule is the inhibitor of Alzheimer's target at http://47.106.158.30:8080/AD/. Furthermore, it can distinguish the target protein of a small molecule.

scholarly journals Antia, a Natural Antioxidant Product, Attenuates Cognitive Dysfunction in Streptozotocin-Induced Mouse Model of Sporadic Alzheimer’s Disease by Targeting the Amyloidogenic, Inflammatory, Autophagy, and Oxidative Stress Pathways

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Nesrine S. El Sayed ◽  
Mamdooh H. Ghoneum
Keyword(s):  
Oxidative Stress ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Neurodegenerative Diseases ◽  
Protective Effect ◽  
Cognitive Dysfunction ◽  
Protective Role ◽  
Sporadic Alzheimer’S Disease ◽  
Stat3 Pathway ◽  
And Oxidative Stress

Background. Many neurodegenerative diseases such as Alzheimer’s disease are associated with oxidative stress. Therefore, antioxidant therapy has been suggested for the prevention and treatment of neurodegenerative diseases. Objective. We investigated the ability of the antioxidant Antia to exert a protective effect against sporadic Alzheimer’s disease (SAD) induced in mice. Antia is a natural product that is extracted from the edible yamabushitake mushroom, the gotsukora and kothala himbutu plants, diosgenin (an extract from wild yam tubers), and amla (Indian gooseberry) after treatment with MRN-100. Methods. Single intracerebroventricular (ICV) injection of streptozotocin (STZ) (3 mg/kg) was used for induction of SAD in mice. Antia was injected intraperitoneally (i.p.) in 3 doses (25, 50, and 100 mg/kg/day) for 21 days. Neurobehavioral tests were conducted within 24 h after the last day of injection. Afterwards, mice were sacrificed and their hippocampi were rapidly excised, weighed, and homogenized to be used for measuring biochemical parameters. Results. Treatment with Antia significantly improved mice performance in the Morris water maze. In addition, biochemical analysis showed that Antia exerted a protective effect for several compounds, including GSH, MDA, NF-κB, IL-6, TNF-α, and amyloid β. Further studies with western blot showed the protective effect of Antia for the JAK2/STAT3 pathway. Conclusions. Antia exerts a significant protection against cognitive dysfunction induced by ICV-STZ injection. This effect is achieved through targeting of the amyloidogenic, inflammatory, and oxidative stress pathways. The JAK2/STAT3 pathway plays a protective role for neuroinflammatory and neurodegenerative diseases such as SAD.

Huprine Y – tryptophan heterodimers with potential implication to Alzheimer’s disease treatment

2021 ◽  
pp. 128100
Author(s):  
Eva Mezeiova ◽  
Martina Hrabinova ◽  
Vendula Hepnarova ◽  
Daniel Jun ◽  
Jana Janockova ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Disease Treatment ◽  
Potential Implication
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