Recent investigations have shed light on the potential of seaweed, an abundant source of bioactive compounds, to mitigate and combat neurodegenerative diseases. In this comprehensive review, the accumulating evidence supporting the neuroprotective properties of seaweed-derived compounds is evaluated and their putative mechanisms of action are elucidated. The background of this review encompasses the general understanding of neurodegenerative diseases as debilitating conditions characterized by the progressive loss of nerve cell function and viability in the central nervous system. Furthermore, the global prevalence of these diseases, encompassing Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease, and the persistent absence of effective treatments are emphasized. To address this critical issue, an innovative avenue of research is explored by investigating the potential of seaweed and its diverse array of bioactive compounds. By examining the available literature, the evidence supporting the neuroprotective effects of seaweed-derived compounds is consolidated. These bioactive constituents exhibit promising properties in preventing and mitigating neurodegeneration. Mechanistically, their actions involve intricate pathways that contribute to neuronal survival, reduction of oxidative stress, inhibition of neuroinflammation, and modulation of protein aggregation processes. This review provides a comprehensive analysis of the mechanisms underlying the neuroprotective effects of seaweed compounds. In conclusion, this review highlights the potential of seaweed as a valuable source of neuroprotective compounds and underscores the advancements made in this burgeoning field. The identification and elucidation of the mechanisms through which seaweed compounds exert their neuroprotective effects hold promise for the development of novel therapeutic interventions. These findings transcend disciplinary boundaries, offering insight into the potential application of seaweed-derived compounds as a valuable resource for combating neurodegenerative diseases across scientific domains.
{"title":"From the ocean to the brain: harnessing the power of marine algae for neuroprotection and therapeutic advances","authors":"Leonel Pereira, A. Valado","doi":"10.37349/ent.2023.00058","DOIUrl":"https://doi.org/10.37349/ent.2023.00058","url":null,"abstract":"Recent investigations have shed light on the potential of seaweed, an abundant source of bioactive compounds, to mitigate and combat neurodegenerative diseases. In this comprehensive review, the accumulating evidence supporting the neuroprotective properties of seaweed-derived compounds is evaluated and their putative mechanisms of action are elucidated. The background of this review encompasses the general understanding of neurodegenerative diseases as debilitating conditions characterized by the progressive loss of nerve cell function and viability in the central nervous system. Furthermore, the global prevalence of these diseases, encompassing Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease, and the persistent absence of effective treatments are emphasized. To address this critical issue, an innovative avenue of research is explored by investigating the potential of seaweed and its diverse array of bioactive compounds. By examining the available literature, the evidence supporting the neuroprotective effects of seaweed-derived compounds is consolidated. These bioactive constituents exhibit promising properties in preventing and mitigating neurodegeneration. Mechanistically, their actions involve intricate pathways that contribute to neuronal survival, reduction of oxidative stress, inhibition of neuroinflammation, and modulation of protein aggregation processes. This review provides a comprehensive analysis of the mechanisms underlying the neuroprotective effects of seaweed compounds. In conclusion, this review highlights the potential of seaweed as a valuable source of neuroprotective compounds and underscores the advancements made in this burgeoning field. The identification and elucidation of the mechanisms through which seaweed compounds exert their neuroprotective effects hold promise for the development of novel therapeutic interventions. These findings transcend disciplinary boundaries, offering insight into the potential application of seaweed-derived compounds as a valuable resource for combating neurodegenerative diseases across scientific domains.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":"24 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139266181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Parkinson’s disease (PD) is a prevalent neurodegenerative disease (NDD) affecting millions of individuals. The pathogenesis of PD centers around α-synuclein (α-Syn), a pivotal protein whose aggregation significantly impacts disease progression. Although existing treatments mainly focus on managing motor symptoms by targeting the dopaminergic system, they frequently overlook other non-motor symptoms. The intricate nature of PD pathogenesis contributes to challenges in disease analysis and has hindered the development of effective PD treatments. In recent years, various novel therapies utilizing immunotherapy methods have exhibited promise in preclinical animal models. In NDDs, immunotherapy aims to counteract the detrimental effects of protein accumulation by neutralizing toxic species and aiding their elimination. Numerous active therapy (AI) and passive immunotherapy (PI) strategies have been devised for PD and related synucleinopathies, many of which are currently undergoing clinical trials. Despite demonstrating remarkable success in animal models, immunotherapies encountered substantial setbacks during the late stages of clinical trials, with the exception of lecanemab, which targets amyloid-β (Aβ) in Alzheimer’s disease (AD) and has recently received approval from the Food and Drug Administration (FDA). The lack of translation from experimental investigations to successful clinical outcomes, particularly in terms of cognitive and functional evaluations, highlights the limitations of relying solely on animal studies to comprehend the effects of immunotherapeutic approaches. This comprehensive review focuses on α-Syn-based immunotherapies and delves into their underlying mechanisms of action. Furthermore, Furthermore, the article discusses recent advancements and future prospects concerning the potential of immunotherapeutic strategies for PD. The focus is on highlighting the latest research in this domain to illuminate the challenges and opportunities related to the development of efficacious immunotherapies for individuals with PD.
{"title":"Targeting α-synuclein aggregation with immunotherapy: a promising therapeutic approach for Parkinson’s disease","authors":"Gabriela Henríquez, M. Narayan","doi":"10.37349/ent.2023.00048","DOIUrl":"https://doi.org/10.37349/ent.2023.00048","url":null,"abstract":"Parkinson’s disease (PD) is a prevalent neurodegenerative disease (NDD) affecting millions of individuals. The pathogenesis of PD centers around α-synuclein (α-Syn), a pivotal protein whose aggregation significantly impacts disease progression. Although existing treatments mainly focus on managing motor symptoms by targeting the dopaminergic system, they frequently overlook other non-motor symptoms. The intricate nature of PD pathogenesis contributes to challenges in disease analysis and has hindered the development of effective PD treatments. In recent years, various novel therapies utilizing immunotherapy methods have exhibited promise in preclinical animal models. In NDDs, immunotherapy aims to counteract the detrimental effects of protein accumulation by neutralizing toxic species and aiding their elimination. Numerous active therapy (AI) and passive immunotherapy (PI) strategies have been devised for PD and related synucleinopathies, many of which are currently undergoing clinical trials. Despite demonstrating remarkable success in animal models, immunotherapies encountered substantial setbacks during the late stages of clinical trials, with the exception of lecanemab, which targets amyloid-β (Aβ) in Alzheimer’s disease (AD) and has recently received approval from the Food and Drug Administration (FDA). The lack of translation from experimental investigations to successful clinical outcomes, particularly in terms of cognitive and functional evaluations, highlights the limitations of relying solely on animal studies to comprehend the effects of immunotherapeutic approaches. This comprehensive review focuses on α-Syn-based immunotherapies and delves into their underlying mechanisms of action. Furthermore, Furthermore, the article discusses recent advancements and future prospects concerning the potential of immunotherapeutic strategies for PD. The focus is on highlighting the latest research in this domain to illuminate the challenges and opportunities related to the development of efficacious immunotherapies for individuals with PD.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44828865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amyotrophic lateral sclerosis (ALS) is the most prevalent type of motor neuron disease (MND) and is diagnosed with a delay from the first appearance of symptoms. Surrogate markers that may be used to detect pathological changes before a significant neuronal loss occurs and allow for early intervention with disease-modifying therapy techniques are desperately needed. Using water molecules that diffuse within the tissue and experience displacement on the micron scale, diffusion magnetic resonance imaging (MRI) is a promising technique that can be used to infer microstructural characteristics of the brain, such as microstructural integrity and complexity, axonal density, order, and myelination. Diffusion tensor imaging (DTI) is the primary diffusion MRI technique used to evaluate the pathogenesis of ALS. Neurite orientation dispersion and density imaging (NODDI), diffusion kurtosis imaging (DKI), and free water elimination DTI (FWE-DTI) are only a few of the approaches that have been developed to overcome the shortcomings of the diffusion tensor technique. This article provides a summary of these methods and their potential as surrogate markers for detecting the onset of ALS at an early stage.
{"title":"Diffusion magnetic resonance imaging-based surrogate marker in amyotrophic lateral sclerosis","authors":"Y. Saito","doi":"10.37349/ent.2023.00047","DOIUrl":"https://doi.org/10.37349/ent.2023.00047","url":null,"abstract":"Amyotrophic lateral sclerosis (ALS) is the most prevalent type of motor neuron disease (MND) and is diagnosed with a delay from the first appearance of symptoms. Surrogate markers that may be used to detect pathological changes before a significant neuronal loss occurs and allow for early intervention with disease-modifying therapy techniques are desperately needed. Using water molecules that diffuse within the tissue and experience displacement on the micron scale, diffusion magnetic resonance imaging (MRI) is a promising technique that can be used to infer microstructural characteristics of the brain, such as microstructural integrity and complexity, axonal density, order, and myelination. Diffusion tensor imaging (DTI) is the primary diffusion MRI technique used to evaluate the pathogenesis of ALS. Neurite orientation dispersion and density imaging (NODDI), diffusion kurtosis imaging (DKI), and free water elimination DTI (FWE-DTI) are only a few of the approaches that have been developed to overcome the shortcomings of the diffusion tensor technique. This article provides a summary of these methods and their potential as surrogate markers for detecting the onset of ALS at an early stage.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41469036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Ávila, Mar Pérez, M. Avila-Villanueva, I. Santa-María, F. Hernández
Currently, the predominant targets for the treatment of Alzheimer’s disease (AD) are the main components of the two pathological structures: senile plaques (composed of amyloid beta peptide aggregates) or neurofibrillary tangles (constructed of tau protein polymers). However, the existence of adequate disease modifiers based on such targets is discussed. In this special issue, it has been suggested to search for new possible targets for AD therapy. This contribution tries to analyze non-neuronal tissues (periphery) to identify potential factors (target) involved in the development of AD.
{"title":"Looking at the periphery—new hypothesis to look for new targets for Alzheimer’s disease therapy","authors":"J. Ávila, Mar Pérez, M. Avila-Villanueva, I. Santa-María, F. Hernández","doi":"10.37349/ent.2023.00044","DOIUrl":"https://doi.org/10.37349/ent.2023.00044","url":null,"abstract":"Currently, the predominant targets for the treatment of Alzheimer’s disease (AD) are the main components of the two pathological structures: senile plaques (composed of amyloid beta peptide aggregates) or neurofibrillary tangles (constructed of tau protein polymers). However, the existence of adequate disease modifiers based on such targets is discussed. In this special issue, it has been suggested to search for new possible targets for AD therapy. This contribution tries to analyze non-neuronal tissues (periphery) to identify potential factors (target) involved in the development of AD.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45468432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Bianchi, L. Becattini, L. Chico, G. Ricci, G. Siciliano
Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder affecting motor neurons. The complex etiopathogenetic mechanism of ALS can lead to extensive alterations, including cortical changes, neuroinflammation, and changes in muscular structure. These ALS-derived alterations may contribute to fatigue, a symptom severely impacting patients’ quality of life that is commonly associated with muscular exercise. Intriguingly, muscular exercise can be at once a promoter of motor neuron degeneration in predisposed patients as well as an effective non-pharmacological treatment of ALS. To fully disclose its therapeutic potential, muscular exercise must be tailored to patients’ phenotypes, balancing potential benefits and risks that are unique to each ALS case. Biomarkers of muscular fatigue, with their potential for insight into inflammation and oxidation, can be used to ensure that the intensity of physical activity remains below the threshold level beyond which exercise might become harmful. In this review, the authors explore the concept of fatigue in ALS patients, focusing on fatigue generation, definition, detection, quantification, and treatment. The study discusses the most important fatigue biomarkers, putting them in relation to the mechanism of fatigue generation and with monitoring of muscular exercise as a possible treatment of fatigue.
{"title":"Muscle fatigue and exercise-related biomarkers in amyotrophic lateral sclerosis","authors":"F. Bianchi, L. Becattini, L. Chico, G. Ricci, G. Siciliano","doi":"10.37349/ent.2023.00045","DOIUrl":"https://doi.org/10.37349/ent.2023.00045","url":null,"abstract":"Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder affecting motor neurons. The complex etiopathogenetic mechanism of ALS can lead to extensive alterations, including cortical changes, neuroinflammation, and changes in muscular structure. These ALS-derived alterations may contribute to fatigue, a symptom severely impacting patients’ quality of life that is commonly associated with muscular exercise. Intriguingly, muscular exercise can be at once a promoter of motor neuron degeneration in predisposed patients as well as an effective non-pharmacological treatment of ALS. To fully disclose its therapeutic potential, muscular exercise must be tailored to patients’ phenotypes, balancing potential benefits and risks that are unique to each ALS case. Biomarkers of muscular fatigue, with their potential for insight into inflammation and oxidation, can be used to ensure that the intensity of physical activity remains below the threshold level beyond which exercise might become harmful. In this review, the authors explore the concept of fatigue in ALS patients, focusing on fatigue generation, definition, detection, quantification, and treatment. The study discusses the most important fatigue biomarkers, putting them in relation to the mechanism of fatigue generation and with monitoring of muscular exercise as a possible treatment of fatigue.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43539288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aim: Up to date many successful attempts to identify various types of lesions with machine learning (ML) were made, however, the recognition of Alzheimer’s disease (AD) from brain images and interpretation of the models is still a topic for the research. Here, using AD Imaging Initiative (ADNI) structural magnetic resonance imaging (MRI) brain images, the scope of this work was to find an optimal artificial neural network architecture for multiclass classification in AD, circumventing the dozens of images pre-processing steps and avoiding to increase the computational complexity. Methods: For this analysis, two supervised deep neural network (DNN) models were used, a three-dimensional 16-layer visual geometry-group (3D-VGG-16) standard convolutional network (CNN) and a three-dimensional residual network (ResNet3D) on the T1-weighted, 1.5 T ADNI MRI brain images that were divided into three groups: cognitively normal (CN), mild cognitive impairment (MCI), and AD. The minimal pre-processing procedure of the images was applied before training the two networks. Results: Results achieved suggest, that the network ResNet3D has a better performance in class prediction, which is higher than 90% in training set accuracy and arrives to 85% in validation set accuracy. ResNet3D also showed requiring less computational power than the 3D-VGG-16 network. The emphasis is also given to the fact that this result was achieved from raw images, applying minimal image preparation for the network. Conclusions: In this work, it has been shown that ResNet3D might have superiority over the other CNN models in the ability to classify high-complexity images. The prospective stands in doing a step further in creating an expert system based on residual DNNs for better brain image classification performance in AD detection.
{"title":"Alzheimer’s disease detection from magnetic resonance imaging: a deep learning perspective","authors":"Karolina Armonaite, Marco La Ventura, Luigi Laura","doi":"10.37349/ent.2023.00043","DOIUrl":"https://doi.org/10.37349/ent.2023.00043","url":null,"abstract":"Aim: Up to date many successful attempts to identify various types of lesions with machine learning (ML) were made, however, the recognition of Alzheimer’s disease (AD) from brain images and interpretation of the models is still a topic for the research. Here, using AD Imaging Initiative (ADNI) structural magnetic resonance imaging (MRI) brain images, the scope of this work was to find an optimal artificial neural network architecture for multiclass classification in AD, circumventing the dozens of images pre-processing steps and avoiding to increase the computational complexity.\u0000\u0000Methods: For this analysis, two supervised deep neural network (DNN) models were used, a three-dimensional 16-layer visual geometry-group (3D-VGG-16) standard convolutional network (CNN) and a three-dimensional residual network (ResNet3D) on the T1-weighted, 1.5 T ADNI MRI brain images that were divided into three groups: cognitively normal (CN), mild cognitive impairment (MCI), and AD. The minimal pre-processing procedure of the images was applied before training the two networks.\u0000\u0000Results: Results achieved suggest, that the network ResNet3D has a better performance in class prediction, which is higher than 90% in training set accuracy and arrives to 85% in validation set accuracy. ResNet3D also showed requiring less computational power than the 3D-VGG-16 network. The emphasis is also given to the fact that this result was achieved from raw images, applying minimal image preparation for the network.\u0000\u0000Conclusions: In this work, it has been shown that ResNet3D might have superiority over the other CNN models in the ability to classify high-complexity images. The prospective stands in doing a step further in creating an expert system based on residual DNNs for better brain image classification performance in AD detection.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47096678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Ricaurte-Fajardo, Laura Rodríguez Suarez, Nathalia Melo Gonzalez
Reversible cerebral vasoconstriction syndrome (RCVS) is characterized by thunderclap headache and intracranial segmental vasoconstriction with or without signs of neurological deficit with a variable course that requires extensive study to prevent complications. The evidence shows RCVS is characterized by being multi-etiological; both the cause and the specific symptoms must be treated to reduce the chance of complications and recurrence. The timely identification of the RCVS and its etiology is the cornerstone of success in managing the disease. New data must be generated to have more efficient resources for the approach to this disease.
{"title":"Reversible cerebral vasoconstriction syndrome: a clinical and therapeutic challenge","authors":"A. Ricaurte-Fajardo, Laura Rodríguez Suarez, Nathalia Melo Gonzalez","doi":"10.37349/ent.2023.00041","DOIUrl":"https://doi.org/10.37349/ent.2023.00041","url":null,"abstract":"Reversible cerebral vasoconstriction syndrome (RCVS) is characterized by thunderclap headache and intracranial segmental vasoconstriction with or without signs of neurological deficit with a variable course that requires extensive study to prevent complications. The evidence shows RCVS is characterized by being multi-etiological; both the cause and the specific symptoms must be treated to reduce the chance of complications and recurrence. The timely identification of the RCVS and its etiology is the cornerstone of success in managing the disease. New data must be generated to have more efficient resources for the approach to this disease.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42829061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Late-onset Alzheimer’s disease (LOAD) is the most common form of Alzheimer’s disease (AD) and its risk increases exponentially with aging. The incidence of LOAD is reported to increase from 1 in every 1,000 people aged 37 to 65 in every 100 people aged 80 years and older. LOAD is extensively associated with aging and cognition decline. Several risk factors, including lifestyle choices, environmental factors, and medical ailments, affect cellular stress. The cellular stress can bring upon epigenetic alterations that affect cellular aging making the individual more susceptible to LOAD development. In due course the cellular stress resulting into epigenetic deregulation, oxidative burden, and genomic mutations leads to increased disease risk. Role of epigenetic and non-epigenetic mechanisms in accelerated cellular aging that are reported to increase the risk of LOAD development are summarized in this review. The underlying biological mechanism of cellular aging and the risk factors that could predispose cellular aging and LOAD development are also discussed in the upcoming sections.
{"title":"Epigenetic and non-epigenetic mechanisms in the accelerated cellular aging in late-onset Alzheimer’s disease","authors":"Kajal Rawat, Prathiba Garlapally","doi":"10.37349/ent.2023.00040","DOIUrl":"https://doi.org/10.37349/ent.2023.00040","url":null,"abstract":"Late-onset Alzheimer’s disease (LOAD) is the most common form of Alzheimer’s disease (AD) and its risk increases exponentially with aging. The incidence of LOAD is reported to increase from 1 in every 1,000 people aged 37 to 65 in every 100 people aged 80 years and older. LOAD is extensively associated with aging and cognition decline. Several risk factors, including lifestyle choices, environmental factors, and medical ailments, affect cellular stress. The cellular stress can bring upon epigenetic alterations that affect cellular aging making the individual more susceptible to LOAD development. In due course the cellular stress resulting into epigenetic deregulation, oxidative burden, and genomic mutations leads to increased disease risk. Role of epigenetic and non-epigenetic mechanisms in accelerated cellular aging that are reported to increase the risk of LOAD development are summarized in this review. The underlying biological mechanism of cellular aging and the risk factors that could predispose cellular aging and LOAD development are also discussed in the upcoming sections.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47227145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Damaris Vazquez-Guevara, Alejandro Orozco-Narvaez, Héctor G. Hernández-Rodríguez, F. Rivas-Ruvalcaba, J. Shiguetomi-Medina, Ildefonso Rodríguez-Leyva
Aim: To compare the efficacy of memantine with that of valproate as a prophylactic treatment for episodic migraine within three months. The efficacy, safety, and response rate were evaluated. Methods: Prospective, randomized, double-blind, controlled clinical trial randomized participants were divided into two groups. The memantine group received memantine 10 mg twice daily, and the valproate group received valproate 500 mg twice daily. Results: Thirty-three patients participated in the study; 27 completed the treatment protocol, 14 in the memantine group, and 13 in the valproate group. The mean number of migraine attacks per month in the memantine group was 5.31 [standard deviation (SD) ± 1.54] initially and 0.93 (SD ± 1.49) at the end of treatment, noting a decrease of 4.21 (SD ± 1.76; P < 0.001). In the valproate group, the mean number of migraine attacks per month was 5.35 (SD ± 1.11) initially and 0.77 (SD ± 1.16) at the end of treatment, with a difference of 4.5 (SD ± 1.39; P < 0.001). All 27 patients had excellent response rates. Adverse effects were infrequent and mild in severity. Conclusions: A clinical trial compared the efficacy of memantine with that of valproate (first-line drug) as a prophylactic treatment. A significant reduction in attacks was noted in both drugs. Memantine could be a new preventive treatment option for migraine.
{"title":"Efficacy of memantine compared with sodium valproate as prophylactic treatment for migraine: a controlled randomized pilot study","authors":"Damaris Vazquez-Guevara, Alejandro Orozco-Narvaez, Héctor G. Hernández-Rodríguez, F. Rivas-Ruvalcaba, J. Shiguetomi-Medina, Ildefonso Rodríguez-Leyva","doi":"10.37349/ent.2023.00042","DOIUrl":"https://doi.org/10.37349/ent.2023.00042","url":null,"abstract":"Aim: To compare the efficacy of memantine with that of valproate as a prophylactic treatment for episodic migraine within three months. The efficacy, safety, and response rate were evaluated.\u0000Methods: Prospective, randomized, double-blind, controlled clinical trial randomized participants were divided into two groups. The memantine group received memantine 10 mg twice daily, and the valproate group received valproate 500 mg twice daily.\u0000Results: Thirty-three patients participated in the study; 27 completed the treatment protocol, 14 in the memantine group, and 13 in the valproate group. The mean number of migraine attacks per month in the memantine group was 5.31 [standard deviation (SD) ± 1.54] initially and 0.93 (SD ± 1.49) at the end of treatment, noting a decrease of 4.21 (SD ± 1.76; P < 0.001). In the valproate group, the mean number of migraine attacks per month was 5.35 (SD ± 1.11) initially and 0.77 (SD ± 1.16) at the end of treatment, with a difference of 4.5 (SD ± 1.39; P < 0.001). All 27 patients had excellent response rates. Adverse effects were infrequent and mild in severity.\u0000Conclusions: A clinical trial compared the efficacy of memantine with that of valproate (first-line drug) as a prophylactic treatment. A significant reduction in attacks was noted in both drugs. Memantine could be a new preventive treatment option for migraine.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42496022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alzheimer’s disease (AD), which affects around twenty-seven million people globally, is an aging-related neurodegenerative condition characterized by the extracellular deposition of misfolded amyloid-β (Aβ) peptides and the intracellular production of neurofibrillary tangles (NFTs) AD results from the death of certain groups of neurons in the brain while appearing to have no impact on neighboring neurons. It is progressive and incurable. Therefore, the pathophysiology of afflicted populations and the development of intervention measures to stop neuronal cell death have been the main areas of attention for delineating therapeutic options. Proinflammatory cytokines are responsible for the stimulation of inflammatory responses and are mostly generated by activated macrophages in the brain. This review discusses how glial cells and innate and adaptive immune responses have a critical role in AD. It also provides information about microglial activation through the cluster of differentiation 40 (CD40) ligation and CD40L. CD40L ligation of microglial CD40 results in a large increase in tumor necrosis factor-α (TNF-α) production. Cultured cortical neuronal injury is caused when microglia are activated by CD40 ligation in the presence of interferon-γ (IFN-γ). This injury is significantly reduced by blocking the CD40 pathway or neutralising TNF-α. The management of AD would require integrating all available information about the innate and adaptive immune response affecting AD-related neuronal death.
{"title":"Innate and adaptive glial cell responses in Alzheimer’s disease","authors":"Ankita Singh, T. Singh","doi":"10.37349/ent.2023.00039","DOIUrl":"https://doi.org/10.37349/ent.2023.00039","url":null,"abstract":"Alzheimer’s disease (AD), which affects around twenty-seven million people globally, is an aging-related neurodegenerative condition characterized by the extracellular deposition of misfolded amyloid-β (Aβ) peptides and the intracellular production of neurofibrillary tangles (NFTs) AD results from the death of certain groups of neurons in the brain while appearing to have no impact on neighboring neurons. It is progressive and incurable. Therefore, the pathophysiology of afflicted populations and the development of intervention measures to stop neuronal cell death have been the main areas of attention for delineating therapeutic options. Proinflammatory cytokines are responsible for the stimulation of inflammatory responses and are mostly generated by activated macrophages in the brain. This review discusses how glial cells and innate and adaptive immune responses have a critical role in AD. It also provides information about microglial activation through the cluster of differentiation 40 (CD40) ligation and CD40L. CD40L ligation of microglial CD40 results in a large increase in tumor necrosis factor-α (TNF-α) production. Cultured cortical neuronal injury is caused when microglia are activated by CD40 ligation in the presence of interferon-γ (IFN-γ). This injury is significantly reduced by blocking the CD40 pathway or neutralising TNF-α. The management of AD would require integrating all available information about the innate and adaptive immune response affecting AD-related neuronal death.","PeriodicalId":73000,"journal":{"name":"Exploration of neuroprotective therapy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44558565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：