alzheimer’s disease
در نشریات گروه پزشکی-
The global rise of obesity has increased the prevalence of type 2 diabetes mellitus (T2DM) and the risk of Alzheimer’s disease (AD). The obesity, a key risk factor of T2DM, leads to insulin resistance, which contributes to cognitive decline and potentially AD through shared metabolic pathways. This Commentary highlights the connection between obesity, T2DM, and AD, suggesting that lifestyle changes like weight loss and discontinuation of sugar consumption may help to prevent these conditions. Comprehensive public health strategies focusing on diet, exercise, and education are essential to reduce the growing health crisis and improve metabolic and cognitive health globally.
Keywords: Obesity, Type 2 Diabetes Mellitus, Type 3 Diabetes, Alzheimer's Disease, Epidemic -
This review synthesizes and elaborates on current studies examining the neurotoxic effects of microplastics, emphasizing their mechanisms of entry into the central nervous system and their possible involvement in the development of neurodegenerative disorders. The pervasive presence of microplastics in the environment has heightened concerns about their accumulation in biological systems, particularly their capacity to traverse biological boundaries and engage with neuronal tissues. This article seeks to synthesize and critically evaluate the existing scientific literature on microplastic neuroinvasion, concentrating on the mechanisms through which these particles penetrate the blood-brain barrier (BBB) specifically via transcellular, paracellular, or Trojan horse pathways—and their ensuing effects on neuronal homeostasis.We investigate the physiological and molecular reactions triggered by microplastics, encompassing oxidative stress induction, mitochondrial failure, neuroinflammation, and synaptic disruption. These pathogenic processes may facilitate the onset and advancement of several neurodegenerative disorders, including Alzheimer’s disease, by intensifying amyloid-beta aggregation, tau phosphorylation, and neuroimmune activation. Additionally, we examine the burgeoning epidemiological and experimental evidence associating microplastic exposure with cognitive deterioration and neuronal impairment.This review offers a thorough analysis of microplastic neurotoxicity by evaluating both in vitro and in vivo studies, with the objective of elucidating the potential neurological hazards associated with these environmental contaminants. We emphasize significant deficiencies in existing research and propose future avenues, encompassing enhanced detection techniques, public health initiatives, and efforts to reduce human exposure to microplastics.
Keywords: Microplastics, Neurodegenerative Diseases, Alzheimer's Disease, Nanoplastics, NEUROTOXICITY -
Dementia is an umbrella term describing different types of diseases that lead to cognitive impairment and memory dysfunction, predominantly affecting older adults. The most common forms include Alzheimer's disease (AD), vascular dementia (VaD), dementia with Lewy bodies (DLB), and frontotemporal dementia (FTD). Despite extensive research, there is no definitive cure for dementia, primarily due to its complex and multifactorial nature, particularly the role of genetic abnormalities. Gene therapy, a novel therapeutic approach, aims to correct defective genes or introduce functional gene products by delivering specific DNA sequences to patients, and is often considered for individuals unresponsive to conventional treatments, such as those with dementia. Over the past decade, significant research has explored the potential of gene therapy in dementia, offering new hope for more effective treatments. However, several challenges remain in its practical application. One key challenge is developing safe and efficient gene delivery methods, as the brain's intricate structure and protective barriers present significant obstacles. Furthermore, ensuring the long-term expression and stability of therapeutic genes is crucial for sustained benefit. Future studies should focus on identifying genes implicated in different types of dementia, optimizing gene delivery systems, improving gene-targeting specificity, and conducting comprehensive clinical trials to assess the safety and efficacy of these therapies. Addressing these challenges could pave the way for novel treatment strategies, ultimately improving the quality of life for individuals with dementia.
Keywords: Gene Therapy, Alzheimer's Disease, Vascular Dementia, Parkinson's Disease, Frontotemporal Dementias, CRISPR -
Background and objectives
The cholinergic system plays a crucial role in CNS modulation, where dysfunctions are linked to cognitive and motor impairments. Cholinesterases (ChEs), essential enzymes for synaptic transmission in the CNS, are key therapeutic targets for neurodegenerative diseases. Moreover, these conditions feature elevated reactive oxygen species that compromise cellular integrity, leading to neuronal death. This study investigated the neuroprotective effects of Salvia aristata essential oilfocusing on its phytochemical composition and ChE inhibitory properties.
MethodsThe essential oil of S. aristata was extracted via hydrodistillation method and its chemical composition was analyzed by GC-MS. The ChE inhibitory effects were assessed using the modified Ellman’s method. Cell viability and neuroprotective effects of the essential oil were evaluated on PC12 cells under H₂O₂-induced oxidative stress by AlamarBlue assay.
Resultsanalysis identified 74 compounds, primarily sesquiterpene hydrocarbons (32.79%), with β-trans-caryophyllene (8.37%), caryophyllene oxide (8.26%), and bicyclogermacrene (5.73%) as the major components. The essential oil showed more potent butyrylcholinesterase (BChE) inhibitory activity (IC50 = 2.72 ± 0.21 µg/mL) than anti-acetylcholinesterase activity. Based on kinetic analysis, it exhibited a mixed-type inhibition against BChE (Ki = 4.81, Kis = 3.39 µg/mL). Additionally, it effectively protected PC12 cells against H₂O₂-induced oxidative stress (p<0.001).
ConclusionThe essential oil of S. aristata exhibited selective BChE inhibition and significant neuroprotective effects against oxidative stress in PC12 cells. These bioactivities, likely driven by major compounds like β-trans-caryophyllene, support the potential therapeutic use of the essential oil as a neuroprotective agent. However, further in vivo and clinical studies are suggested.
Keywords: Alzheimer's Disease, Butyrylcholinesterase, Lamiaceae, Nervous System Diseases, Salvia -
The prevalence of neurodegenerative diseases such as Alzheimer's disease (AD) has increased in recent years and put additional strain on the health systems of most countries. Although great progress has been made in the treatment of these diseases, so far no effective treatment has been found that can block the progression of these diseases. In recent years, there have been reports of inhibition of hyperphosphorylation of Tau protein by extracts or natural compounds derived from medicinal plants. In this review article, we tried to review some of the medicinal plants that have shown these effects in electronic databases. Some medicinal plants including Curcuma longa, Rosmarinus officinalis, Vitis vinifera, Apocynum venetum, Centella asiatica, Rhus succedanea, Maclura pomifera Allium sativum and Ginkgo biloba have been found to show anti-Tau hyperphosphorylation effects and therefore can be considered as adjuvant therapy in Alzheimer disease (AD). The essential oils or natural product of some medicinal plant inhibited the Tau hyperphosphorylation in studies and as results are suitable options in treatments of neurodegenerative diseases including AD.
Keywords: Tau, Hyperphosphorylation, Tauopathy, Alzheimer's Disease, Medicinal Plant -
Context:
Pesticides are widely used in agriculture and household settings and have been associated with various adverse health effects, including a potential link to neurodegenerative diseases (NDs). Alzheimer's disease (AD) and Parkinson's disease (PD) are the two most common disorders in this category, characterized by progressive neuronal cell loss and severe impairments in human functioning. Epidemiological studies have shown significant associations between pesticide exposure—specifically organochlorines, organophosphates (OP), carbamates, DDT, and paraquat—and AD and PD; however, little is known about the underlying biological mechanisms.
Evidence Acquisition:
A mini-review was conducted in the scientific literature on the biological mechanisms linking pesticide exposure to NDs using scientific databases (PubMed, Scopus, Web of Science, and Google Scholar).
ResultsIn AD, the connection may involve several biological mechanisms, including hyperphosphorylation of tau protein, which disrupts normal cellular function and contributes to neurofibrillary tangles. Genetic polymorphisms in microtubule-associated protein tau (MAPT) can also influence an individual's susceptibility to AD by affecting tau protein interactions with microtubules. Moreover, exposure to pesticides has been linked to elevated pro-inflammatory markers that exacerbate neuroinflammation, further contributing to neuronal damage. In PD, oxidative stress plays a crucial role by generating reactive oxygen species that damage cellular components. Mitochondrial dysfunction resulting from pesticide exposure impairs energy production in neurons, leading to cell death. Additionally, exacerbation of α-synuclein aggregation is a critical factor in PD pathology, as aggregated forms of this protein are toxic to neurons.
ConclusionsGiven the rapid increase of pesticides in the air, water, and food, it is essential to clarify the biological mechanisms linking pesticide exposure to NDs.
Keywords: Alzheimer's Disease, Parkinson's Disease, Pesticides, Organophosphates -
IntroductionAlzheimer's disease (AD) is associated with a marked reduction in brain-derived neurotrophic factor (BDNF) and fibronectin 1 (Fn1). This study investigates the effects of fisetin supplementation combined with high-intensity interval training (HIIT) on these neurogenesis markers in an aged mouse model of AD.MethodsIn this experimental study, 30 aged C57BL/6 mice (weight: 30 g) with AD were randomly assigned to one of the five groups: (1) Control, (2) AD, (3) AD + Fisetin, (4) AD + HIIT, and (5) AD + HIIT + Fisetin. Alzheimer's disease was induced in the AD groups by injecting amyloid-beta (Aβ1-42) into the hippocampus. The HIIT protocol consisted of a 10-minute warm-up at 50-55% VO2 max, followed by seven intervals, each comprising 4 minutes at 80-90% VO2 max and 3 minutes at 65-75% VO2 max. Fisetin was administered at 20 mg/kg for eight weeks. Data were analyzed using one-way ANOVA with a significance level of P ≤ 0.05.ResultsSignificant differences were observed in BDNF, Fn1, and Aβ gene expression levels across the five groups of aged mice (p < 0.001). BDNF and Fn1 expression were significantly reduced in the AD groups compared to the healthy controls (p < 0.001). However, their expression levels increased significantly in the AD + Training + Fisetin, AD + Training, and AD + Fisetin groups compared to the AD-only group (p < 0.001). The AD + Training + Fisetin group exhibited the highest expression levels, followed by the AD + Training and AD + Fisetin groups (p < 0.001). Aβ expression was significantly reduced in all intervention groups, with the AD + Training + Fisetin group showing the most substantial decrease (p < 0.001).ConclusionCombining HIIT and fisetin supplementation may promote cerebral neurogenesis in AD by reducing Aβ levels and enhancing BDNF and Fn1 gene expression. Notably, the combined intervention of HIIT and fisetin exhibits a more significant effect than either HIIT or fisetin alone, with HIIT being more effective than fisetin as a standalone treatment. Thus, the combination of HIIT and fisetin appears to be the most effective complementary approach for managing this disease.Keywords: High-Intensity Interval Training, BDNF, Fn1, Fisetin, Alzheimer's Disease
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Purpose
The importance of cognitive decline has increased due to an aging population and changing lifestyles. Currently, an absolute diagnosis of Alzheimer's disease (AD) can only be determined through postmortem histopathological examination, although in vivo imaging is making strides toward this diagnosis. Upon examining the postmortem brains of AD patients, the disease is associated with neuropathological features such as the accumulation of amyloid β (Aβ) plaques, also known as senile plaques and neurofibrillary tangles (NFT) of highly phosphorylated tau in the brain. Early detection and diagnosis of AD are crucial, but current research on the effectiveness of contrast agents and molecules is limited. To address this gap, we conducted a comprehensive study on PET and SPECT imaging to evaluate the role of these agents and indicators in diagnosing the disorder.
Materials and MethodsA comprehensive search was conducted in PubMed, using the PRISMA guidelines, without any time or language restrictions. Three independent researchers reviewed the studies based on criteria, and relevant data from the included articles were extracted and analyzed.
ResultsAs a result of the initial search, 172 original articles were included in the study. Finally, data from 116 studies were extracted. The most used contrast agents were [¹⁸F] fluorodeoxyglucose and its derivatives, [11C] acetate, and chemicals based on iodine, respectively. The most often employed transgenic mouse strains in the studies were APP/PS1, and 5XFAD. On average, 23 animals were used in each study. Respectively, Amyloid beta, Tau protein, Translocator protein (TSPO), Acetylcholinesterase (AChE), Monoamine oxidase B (MAO-B), and Gonadotropin-releasing hormone receptor (GnRHR) were identified the most as biomarkers in studies.
ConclusionThe study on PET and SPECT imaging for diagnosing AD has limitations, including the use of animal models and not evaluating the long-term effects or safety of contrast agents. Further research is needed to confirm these findings in clinical settings and assess the long-term impact of these contrast chemicals.
Keywords: Alzheimer's Disease, Single Photon Emission Computed Tomography, Positron Emission Tomography, Contrast Agents, Molecular Indicators -
زمینه و هدف
بیماری آلزایمر یکی از چالش های مهم بهداشتی در دنیای امروز است. مطالعه حاضر با هدف تعیین تاثیر تمرین هوازی به همراه مصرف عصاره گیاه بادرنجبویه بر بیان ژن های p53 p21, و کاسپاز 3 در موش های نر آلزایمری اجرا شد.
روش هادر این مطالعه تجربی، 48 رت به طور تصادفی به 6 گروه کنترل، آلزایمر، کنترل + ورزش هوازی، آلزایمر + ورزش هوازی، آلزایمر + ورزش هوازی + عصاره، آلزایمر + عصاره تقسیم شدند. مدل آلزایمر با تزریق آمیلوئید بتا 42-1 در هیپوکامپ ایجاد شد. تمرینات هوازی به مدت 8 هفته انجام شد. عصاره گیاه بادرنجبویه به میزان 100 میلی گرم به ازای هر کیلوگرم وزن بدن در 2 میلی لیتر آب مقطر حل شد و به موش های صحرایی به مدت 8 هفته گاواژ شد. برای تعیین میزان بیان ژن های p53 p21, و کاسپاز 3 از روش Real Time PCR استفاه گردید.
یافته هابعد از 8 هفته تمرین هوازی به همراه عصاره گیاه بادرنجبویه، بیان ژن p21 در گروه های مداخله نسبت به گروه آلزایمر افزایش معنی داری داشت (0/05>P). همچنین p53 و کاسپاز 3 در گروه آلزایمر + ورزش هوازی و گروه آلزایمر + ورزش هوازی + عصاره نسبت به گروه آلزایمر کاهش معنی داری داشتند (0/05>P).
نتیجه گیریبه نظر می رسد که ورزش هوازی به همراه مصرف عصاره گیاه بادرنجبویه بتواند از طریق سرکوب آپاپتوز، باعث مهار بیماری آلزایمر شود، با این حال، انجام مطالعات بیشتر در این زمینه ضروری است.
کلید واژگان: آلزایمر، تمرینات هوازی، بادرنجبویه، P53، کاسپاز 3Feyz, Volume:28 Issue: 5, 2024, PP 456 -462Background and AimAlzheimer's disease (AD) is a major health challenge in the world today. The present study aimed to determine the effect of aerobic exercise and Melissa officinalis extract on the expression of p53, p21, and caspase-3 genes in male rats with AD.
MethodsIn this experimental study, 48 rats were randomly divided into 6 groups: control, AD, control + aerobic exercise, AD + aerobic exercise, AD + aerobic exercise + extract, and AD + extract. The AD model was induced by injecting amyloid beta 42-1 into the hippocampus. Aerobic exercise was performed for 8 weeks. Melissa officinalis extract was dissolved in 2 ml of distilled water at a dose of 100 mg/kg body weight and gavaged to rats for 8 weeks. Real-Time PCR was used to determine the expression levels of p53, p21, and caspase-3 genes.
ResultsAfter 8 weeks of aerobic exercise combined with Melissa officinalis extract, the expression of the p21 gene in the intervention groups significantly increased compared to the AD group (P<0.05). Moreover, p53 and caspase-3 were significantly decreased in the AD + aerobic exercise and AD + aerobic exercise + extract groups compared to the AD group (P<0.05).
ConclusionIt seems that aerobic exercise combined with Melissa officinalis extract can inhibit AD by suppressing apoptosis, however, further studies in this field are needed.
Keywords: Alzheimer's Disease, Aerobic Exercise, Melissa Officinalis, P53, Caspase-3 -
مقدمه
بیماری آلزایمر (Alzheimer's disease) AD، یک بیماری پیشرونده و جزء شایع ترین اختلالات نورودژنراتیو می باشد. بیماری آلزایمر باعث اختلال در حافظه، یادگیری و سایر عملکردهای مهم ذهنی می شود. هدف این مطالعه، تاثیر اورایکتومی بر حافظه ی شناختی و یادگیری در مدل موش AD القا شده با اسکوپولامین می باشد.
روش هادر مطالعه ی حاضر 32 موش صحرایی ماده نژاد ویستار (وزن 180 تا 200 گرم) در چهار گروه شاهد، اواریکتومی (OVX)، آلزایمری (AD) و اواریکتومی + آلزایمری (AD+OVX) تقسیم شد. مدل آلزایمری توسط تزریق اسکوپولامین، mg/kg 1 بصورت داخل صفاقی به مدت 14 روز القا شد. حافظه ی کوتاه مدت و یادگیری غیر اجتنابی به ترتیب توسط آزمون رفتاری ماز Y شکل و شاتل باکس ارزیابی شد. برای ارزیابی میزان تخریب نورونی در ناحیه ی CA1 نمونه های بافت هیپوکمپ از روش رنگ آمیزی نیسل استفاده گردید. داده ها توسط آزمون ANOVA یک طرفه و آزمون تقریبی Tukey در سطح معنی داری 05/0 آنالیز گردید.
یافته هابر طبق آزمون ماز، شاخص درصد تناوب در گروه OVX، AD و AD+OVX کاهش معنی داری نسبت به گروه شاهد مشاهده شد. بر اساس آزمون شاتل باکس، میانگین مدت ورود به ناحیه ی تاریک در گروه OVX، AD و AD+OVX کاهش معنی داری نسبت به گروه شاهد مشاهده شد. نتایج رنگ آمیزی نیسل نشان داد که میانگین تعداد سلول های زنده در گروه OVX، AD و AD+OVX نسبت به گروه شاهد کاهش معنی داری داشت.
نتیجه گیریمحرومیت از استروژن ناشی از OVX می تواند اثرات تشدید کننده ای در علایم ناشی از آلزایمر بر حافظه ی شناختی، یادگیری و همچنین آسیب نورونی داشته باشد.
کلید واژگان: اواریکتومی، حافظه، یادگیری، بیماری آلزایمر، اسکوپولامینBackgroundAlzheimer's disease (AD) is a progressive disease and one of the most common neurodegenerative disorders. AD causes impairment in memory, learning and other important mental functions. The aim of this study is the effect of ovariectomy on cognitive memory and learning in AD mouse model induced with scopolamine.
MethodsIn the present study, 32 female Wistar rats (weight 180 to 200 grams) were divided into four groups: control, ovariectomy (OVX), Alzheimer's disease (AD), and ovariectomy + Alzheimer's disease (AD+OVX). Alzheimer's model was induced by intraperitoneal injection of scopolamine, 1 mg/kg for 14 days. Short-term memory and non-avoidance learning were evaluated by Y-shaped maze and shuttle box behavioral tests, respectively. Nissel's staining method was used to evaluate the degree of neuronal destruction in the CA1 area of hippocampal tissue samples. Data were analyzed by one-way ANOVA and Tukey's approximate test at a significance level of 0.05.
FindingsAccording to the Maze test, a significant decrease in frequency index was observed in the OVX, AD and AD+OVX groups compared to the control group. According to the shuttle box test, the average duration of entering the dark area in the OVX, AD and AD+OVX groups was significantly reduced compared to the control group. The Nissl staining results showed that the average number of live cells in the OVX, AD and AD+OVX groups was significantly reduced compared to the control group.
ConclusionDeprivation of estrogen caused by OVX can have aggravating effects on Alzheimer's symptoms on cognitive memory, learning and also neuronal damage.
Keywords: Ovariectomy, Memory, Learning, Alzheimer's Disease, Scopolamine -
هدف
بیماری آلزایمر به عنوان یک اختلال عصبی پیش رونده و تخریب کننده، به دلیل تاثیر قابل توجه بر کیفیت زندگی افراد، به ویژه سالمندان، از اهمیت بالایی برخوردار است. با توجه به افزایش روزافزون شیوع این بیماری، توسعه روش های دقیق برای پیش بینی و تشخیص زودهنگام آن ضروری است. در این پژوهش، با بهره گیری از روش های نوین انتخاب ویژگی و مدل های یادگیری ماشین، به دنبال شناسایی عوامل کلیدی موثر در پیش بینی بیماری آلزایمر هستیم. هدف اصلی این مطالعه، کمک به توسعه ابزارهای تشخیصی دقیق تر و در نتیجه بهبود مدیر یت و درمان این بیماری است.
روش هادر این پژوهش، با بهره گیری از ده روش انتخاب ویژگی مبتنی بر Wrapper ، به شناسایی دقیق ترین و مرتبط ترین ویژگی های بیماری آلزایمر پرداخته ایم. کارایی این مدل ها با استفاده از الگوریتم های یادگیری ماشین پرکاربرد و معیارهای ارزیابی استاندارد نظیر دقت، ویژگی، صحت، حساسیت، اندازه گیری F1 و تحلیل منحنی ROCمورد ارزیابی قرار گرفته و نتایج حاصل با یکدیگر مقایسه می شوند. تمامی ارزیابی ها بر روی مجموعه داده استاندارد بیماران آلزایمر ADNI انجام شده ا ست.
نتایجویژگی های اثرگذار شامل نتایج آزمون های شناختی (مانند آزمون کوتاه وضعیت ذهنی)، ارزیابی های عملکردی، گزارش های بیماران درباره مشکلات حافظه و رفتاری، و همچنین امتیاز فعالیت های روزمره، به عنوان شاخص های کلیدی در تشخیص بیماری آلزایمر، شناسایی شدند.
نتیجه گیرینتایج نشان میدهد که با استفاده از روش های نوین انتخاب ویژگی و الگوریتم های یادگیری ماشین، می توان مدل های دقیق تری برای پیش بینی بیماری آلزایمر توسعه داد. این یافته ها می تواند در بهبود تشخیص زود هنگام و مدیریت این بیماری موثر باشد.
کلید واژگان: کاهش ابعاد، انتخاب ویژگی، بیماری آلزایمر، یادگیری ماشینIntroductionAlzheimer’s disease, a progressive and debilitating neurological disorder, significantly impacts the quality of life, particularly in the elderly. Given the increasing prevalence of this disease, developing accurate methods for early prediction and diagnosis is crucial. This study aims to identify key factors influencing Alzheimer’s disease prediction using novel feature selection techniques and machine learning models. The primary objective of this study is to contribute to the development of more accurate diagnostic tools, thereby improving the management and treatment of this disease.
MethodsIn this study, we employed ten wrapper-based feature selection methods to identify the most accurate and relevant features of Alzheimer’s disease. The performance of these models was evaluated using popular machine learning algorithms and standard evaluation metrics such as accuracy, precision, recall, F1-score, and ROC curve analysis. All evaluations were conducted on the ADNI standard Alzheimer’s disease dataset.
ResultsThe influential features included cognitive test results (e.g., Mini-Mental State Examination), functional assessments, patient-reported memory and behavioral problems, and activities of daily living scores, which were identified as key indicators for Alzheimer’s disease diagnosis.
DiscussionThe results demonstrate that employing novel feature selection techniques and machine learning algorithms can lead to the development of more accurate models for predicting Alzheimer’s disease. These findings can contribute to improving early diagnosis and management of this diseas.
Keywords: Dimensionality Reduction, Feature Selection, Alzheimer's Disease, Machine Learning -
BackgroundAs there are currently no curative treatments for Alzheimer's disease (AD) and other forms of dementia, focusing on risk factor reduction and primary prevention is essential.ObjectivesThis study aimed to explore the factors that influence the occurrence of AD in comparison to other dementias.MethodsWe conducted a case-control study involving caregivers of Alzheimer's patients (n=60) and a control group of caregivers for individuals with other dementias (n=60). Participants were recruited from a hospital in Yogyakarta between January 2018 and December 31, 2023. An online questionnaire containing 62 questions was administered via Zoho Forms and analyzed using IBM SPSS Statistics 25.0. We employed chi-square tests, and logistic regression to identify factors associated with the incidence of AD relative to other dementias.ResultsOur findings indicated that an adequate dietary pattern (P=0.02; AOR=3.665; 95% CI=1.219-11.11) and age of 60 years or older (P=0.06; AOR=2.34; 95% CI=0.95-5.73) are significant risk factors for AD. Conversely, adequate sleep quality (P=0.03; AOR=0.24; 95% CI=0.07-0.87) and a history of stroke (P=0.00; AOR=0.07; 95% CI=0.02-0.26) were identified as protective factors against developing AD compared to other dementias. A poor diet can lead to systemic inflammation and oxidative stress, which may trigger neuroinflammation, including stroke. Additionally, increased tau load associated with being 60 years or older, along with poor sleep quality, can contribute to neuronal dysfunction and ultimately result in brain atrophy.ConclusionThis study identifies moderate dietary habits and age over 60 as risk factors for AD, while adequate sleep quality and a history of stroke serve as protective factors. The insights gained from this research may serve as foundational data for further studies and provide guidelines for preventing the onset of AD.Keywords: Aging, Alzheimer's Disease, Diet, Sleep Quality, Stroke
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مقدمهBcl-2 و Bax از عوامل موثر بر بروز بیماری آلزایمر در افراد مسن است. هدف این مطالعه بررسی تاثیر یک دوره تمرین مقاومتی به همراه مصرف مکمل سماق بر متغیر 2-Bcl و Bax موش های آلزایمری بود.روش کاردر این مطالعه تجربی، 35 سر رت به صورت تصادفی به پنج گروه کنترل، آلزایمری شده، آلزایمری شده همراه با مصرف مکمل سماق، آلزایمری شده همراه با تمرین مقاومتی و آلزایمری شده همراه با تمرین مقاومتی و مصرف مکمل سماق تقسیم شدند. سپس، مقدار 8 میلی گرم/کیلوگرم تری متیل تین کلراید جهت القای آلزایمر به موش ها تزریق شد. تمرینات مقاومتی به مدت 12 هفته انجام و نمونه خونی گرفته شد. متغیرها با روش الایزا مورد بررسی قرار گرفتند. از نرم افزار SPSS نسخه 28 و آزمون آنوای یک طرفه به همراه آزمون تعقیبی توکی در سطح معنی داری 0.05 برای تجزیه و تحلیل داده ها استفاده شد.یافته هایافته ها نشان داد که یک دوره تمرین مقاومتی به همراه دریافت مکمل سماق، همچنین دریافت سماق به تنهایی باعث کاهش معنی دار میزان بیان پروتئین p<0.001) Bax)، و افزایش میزان بیان پروتئین (p<0.001) Bcl-2در همه گروه های تحقیق شد (0.05 >p).نتیجه گیریبرنامه تمرین مقاومتی به همراه مصرف مکمل سماق می تواند باعث کاهش میزان بیان پروتئین Bax و افزایش بیان پروتئین Bcl-2 در همه گروه های تحقیق شود. این افزایش احتمالا می تواند موجب کاهش پیش روی بیماری آلزایمر و یا کندتر شدن روند آن گردد.کلید واژگان: یماری آلزایمر، تمرین مقاومتی، مکمل سماق، Bcl-2، BaxIntroductionBcl-2 and Bax are factors affecting the occurrence of Alzheimer's disease in the elderly.The aim of this study was to investigate the effect of a period of resistance training along with sumac supplementation on Bcl-2 and Bax variables in Alzheimer's rats.Materials and MethodsIn this experimental study, 35 rats were randomly divided into five control groups, Alzheimer's disease, Alzheimer's disease with sumac supplement, Alzheimer's disease with resistance training, and Alzheimer's disease with resistance training and sumac supplement consumption. Then, an amount of 8 mg/kg of trimethyltin chloride was injected into mice to induce Alzheimer's disease. Resistance exercises were performed for 12 weeks and blood samples were taken. The variables were analyzed by ELISA method. One-way ANOVA with Tukey's post hoc test at a significance level of 0.05 was used to analyze the data.ResultsThe findings showed that a period of resistance training along with receiving sumac supplement, as well as receiving sumac alone caused a significant decrease in Bax protein expression (p<0.001) and an increase in Bcl-2 protein expression (p<0.001) in all researched groups (p<0.05).ConclusionThe resistance training program along with the consumption of sumac supplement can reduce the expression of Bax protein and increase the expression of Bcl-2 protein in all research groups. This increase can probably reduce the progression of Alzheimer's disease or slow down its process.Keywords: Alzheimer's Disease, Resistance Training, Sumac Supplement, Bcl-2, Bax
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مقدمه
اختلال شناختی خفیف (Mild cognitive impairment) MCI، به عنوان مرحله ی ابتدایی بیماری آلزایمر شناخته می شود. این بیماری علائمی خفیف تر از بیماری آلزایمر دارد طوری که مشکلات جدی در اعمال و کارهای روزانه ایجاد نمی کند. به دلیل ماهیت و علائم خفیف اختلال شناختی خفیف، تشخیص این بیماری به مراتب دشوارتر از تشخیص آلزایمر است. با این حال تشخیص زودهنگام این بیماری، احتمال درمان آن را افزایش می دهد.
روش هاروش به کار گرفته شده، یک روش پردازشی پیشرفته با به کارگیری تبدیل موجک گسسته در پیش ردازش و استفاده از موجک بسته ای و فیلترهای فضایی- طیفی در استخراج ویژگی از سیگنال های الکتروانسفالوگرام است. در این مطالعه از سیگنال های الکتروانسفالوگرام مربوط به 29 فرد بیمار و 32 فرد سالم استفاده شده است.
یافته هااستفاده از ویولت بسته ای جهت استخراج زیر باندهای فرکانسی سیگنال الکتروانسفالوگرام موجب استخراج دقیق این زیرباندها شد به گونه ای که استخراج ویژگی با استفاده از ویژگی های استخراج شده توسط بانک فیلتر الگوی فضایی مشترک موجب افزایش دقت تشخیص افراد بیمار تا 100 درصد گردید.
نتیجه گیریاین مطالعه با استخراج ویژگی های طیفی- فضایی از زیرباندهای فرکانسی سیگنال الکتروانسفالوگرام برآمده از ویولت بسته ای روشی جدید جهت تشخیص اختلال شناختی خفیف ارائه نمود. نتایج این مطالعه بر نقش استفاده از موجک بسته ای در تفکیک زیرباندهای فرکانسی و اعمال الگوی فضایی مشترک روی زیر باندهای فرکانسی برای استخراج ویژگی های موثر در تفکیک افراد سالم از مبتلایان به اختلال شناختی خفیف تاکید دارد.
کلید واژگان: اختلال شناختی، آلزایمر، تحلیل موجک، تشخیص زودهنگام، الکتروانسفالوگرافیBackgroundMild cognitive impairment (MCI) is identified as the initial stage of Alzheimer's disease. This condition presents less severe symptoms compared to Alzheimer's Disease (AD) to the extent that it does not significantly impact daily activities. Due to its subtle symptoms, diagnosing MCI is considerably more challenging than diagnosing Alzheimer's. However, early detection of MCI enhances the chances of treatment and prevention of its progression to Alzheimer's and dementia.
MethodsThis study introduced a novel method for diagnosing MCI using an automated signal processing approach for electroencephalogram (EEG) signals. The method employs advanced signal processing techniques, including discrete wavelet transform in preprocessing and wavelet packet decomposition alongside spatial-spectral filters for feature extraction from EEG signals. EEG signals from 29 patients and 32 healthy individuals were utilized in this study.
FindingsThe proposed method achieved a classification accuracy of 100% using a random subsampling validation approach. Wavelet packet decomposition effectively isolated frequency sub-bands within the EEG signals, enabling precise extraction. Furthermore, feature extraction using features extracted by the filter bank common spatial pattern (FBCSP) contributed to the increased classification accuracy of the two groups.
ConclusionThis study introduces a novel approach for MCI diagnosis by extracting spatial-spectral features from frequency sub-bands of EEG signals obtained through wavelet packet decomposition. The findings underscore the significance of wavelet packet decomposition in separating frequency sub-bands and applying a common spatial pattern filter on these sub-bands for effective feature extraction in distinguishing healthy individuals from those with MCI.
Keywords: Cognitive Dysfunction, Alzheimer's Disease, Wavelet Analysis, Early Diagnosis, Electroencephalography -
Alzheimer's is a neurodegenerative disorder characterized by memory impairment and learning difficulties. Alzheimer's disease is recognized as the most common cause of memory loss and dementia in middle-aged and elderly individuals, and it is the fifth leading cause of death among the elderly. Extensive research is being conducted to identify the causes and pathological mechanisms involved in this disease, as a proper understanding of these mechanisms could lead to the discovery of fundamental treatments. In this article, we have looked at some of the pathological mechanisms of this disease, which result from changes in synaptic function and functional connectivity.
Keywords: Learning, Functional Connectivity, Synaptic Activity, Alzheimer's Disease -
Alzheimer's disease (AD) presents a significant challenge in healthcare, necessitating accurate and timely diagnosis for effective management. Resting-state functional magnetic resonance imaging (Rs-fMRI) has emerged as a valuable tool for understanding neural correlates and the early detection of AD. This article reviews recent advancements in utilizing Rs-fMRI in combination with machine learning (ML) techniques for early AD diagnosis. First, we discuss the underlying principles of Rs-fMRI, highlighting its ability to detect alterations in brain functional connectivity (FC) patterns associated with AD. We then explore the potential of ML algorithms, particularly support vector machines (SVMs), in analyzing Rs-fMRI data and discriminating between AD patients and healthy controls. We indicate the challenges and opportunities in integrating Rs-fMRI and ML, such as in data preprocessing, feature selection, and model interpretation. We also address the importance of large-scale, multi-site studies to validate the robustness and generalizability of the proposed approaches. Overall, the integration of Rs-fMRI and ML holds great promise as a non-invasive, objective, and sensitive diagnostic tool for AD, potentially enabling early detection and personalized treatment strategies. However, further studies are warranted to optimize methodologies, enhance interpretability, and facilitate clinical translation.
Keywords: Rs-Fmri, Machine Learning, Support Vector Machines (Svms), Alzheimer's Disease -
Background
Today, according to various studies, the gut microbiome is closely linked to various diseases such as cardiovascular disease, metabolic disorders, and neurological disorders like Alzheimer's disease (AD).
ObjectivesThe primary purpose of this investigation was to evaluate the quality and quantity of the gut microbiota in a mouse model of AD.
MethodsThe mice were randomly divided into either an AD group injected with streptozotocin (STZ, 3 mg/kg) or a control group. After 16 - 17 days, the mice were evaluated for their memory capacity and learning, using the Morris water maze (MWM) and passive avoidance response tests. Specific primers were designed to target the 16S rRNA genes of Enterobacter , Clostridium , Lactobacillus , and Bifidobacterium species in the fecal samples of mice by real‐time PCR assay.
ResultsThe MWM and passive avoidance tests confirmed that STZ caused AD in the mouse model. According to the results of real-time PCR assays, unlike Lactobacillus , Clostridium , and Enterobacter , the population of Bifidobacterium decreased significantly in mice after AD in day 28 (P < 0.05). In other words, mean difference of Bifidobacterium CFU between AD group in day 28 and control group was -5.680 (95% CI: -11.3826 to -0.0174).
ConclusionsRestructuring the gut microbiota using personalized dietary approaches or targeted interventions aimed at beneficial microbiota can potentially modify the composition of microbial communities and their metabolic byproducts, offering novel therapeutic possibilities for AD.
Keywords: Alzheimer's Disease, Gut Microbiome, Lactobacillus, Clostridium, Bifidobacterium, Enterobacter -
بیماری آلزایمر یک اختلال پیش رونده، بی وقفه و تحلیل برنده عصبی است که نواحی وسیعی از قشر مغز و هیپوکامپ را تحت تاثیر قرار می دهد. ناهنجاری ها ابتدا بافت مغز لوب های پیشانی و تمپورال را درگیر می کند و سپس به آرامی به سایر نواحی نئوکورتکس می رسد. به نظر می رسد بیماران مبتلا به آلزایمر که در فعالیت های ورزشی شرکت کرده اند افزایش در جریان خون، حجم هیپوکامپ و بهبود نوروژنز را داشته اند. در این مطالعه، مروری بر تاثیرات مثبت ورزش بر بیومارکرهای این بیماری چالش برانگیز ارائه گردیده است. در این مطالعه در پایگاه های اطلاعاتی PubMed, Google Scholar SID.IR, با کلید واژه های ,Alzheimer Resistance Training, Endurance Training, Biomarker بین سال های 2000 تا 2024 جست و جو انجام گرفت. نتایج مطالعات حاکی از آن است که ورزش می تواند یک استراتژی غیر دارویی برای جلوگیری یا به تعویق انداختن کاهش قدرت شناختی مغز باشد. از جمله تغییرات ایجاد شده به دنبال انجام فعالیت ورزشی، می توان به افزایش میزان بیان فاکتورهای نوروتروفیک در مغز، مهار استرس اکسیداتیو، و آنژیوژنز که منجر به افزایش خون رسانی به بافت هیپوکامپ می شود، اشاره کرد. همچنین ورزش در تغییرات بیومارکرهای پلاسمایی مرتبط با آلزایمر و اختلال شناختی مرتبط با بیماری نقش موثری دارد.
کلید واژگان: بیماری آلزایمر، بیومارکر، تمرین استقامتی، تمرین مقاومتیAlzheimer's disease is a progressive, incessant and neurodegenerative disorder that affects large areas of the cerebral cortex and hippocampus. Abnormalities first involve the frontal and temporal lobes in the brain tissue and then slowly reach other areas of the neocortex. It seems that Alzheimer's patients who participated in sports activities had an increase in blood flow, hippocampal volume and improved neurogenesis. In this study, we provide an overview of the positive effects of exercise on the biomarkers of this challenging disease. In this study, PubMed, Google Scholar, and SID.IR databases were searched with the keywords "Alzheimer, Resistance Training, Endurance Training, Biomarker" between the years 2000 and 2024. The results of the studies indicate that exercise can be a non-pharmacological strategy to prevent or delay the decline of the cognitive power of the brain. Exercise also plays an effective role in changes in plasma biomarkers associated with Alzheimer's and cognitive impairment associated with the disease. Among the changes created following sports activity, we can mention the increase in the expression of neurotrophic factors in the brain, inhibition of oxidative stress, and angiogenesis, which leads to an increase in blood supply to the hippocampus tissue.
Keywords: Alzheimer's Disease, Biomarker, Endurance Training, Resistance Training -
Purpose
Alzhеimеr’s disеasе (AD) is thе most prеvalеnt form of dеmеntia globally. Rеsеarch links thе incrеasе of rеactivе oxidativе spеciеs (ROS) to thе pathogеnеsis of AD; thus, this study invеstigatеd thе impact of mеthylglyoxal (MGO) on thе еxprеssion of miR-125b, miR-107, and gеnеs involvеd in oxidativе strеss signaling in SH-SY5Y cеlls.
MethodsThе MTT assay assеssеd MGO’s еffеcts on SH-SY5Y viability. miR-125b and miR-107 еxprеssion was analyzеd via rеal-timе PCR. Additionally, thе Human Oxidativе Strеss Pathway Plus RT2 Profilеr PCR array quantifiеd oxidativе pathway gеnе еxprеssion.
ResultsMGO concеntrations undеr 700μM did not significantly rеducе SH–SY5Y viability. MiR-125b and miR-107 еxprеssion in SH-SY5Y cеlls incrеasеd and dеcrеasеd rеspеctivеly (P<0.05). Cеlls trеatеd with 700μM MGO еxhibitеd incrеasеd CCS, CYBB, PRDX3, SPINK1, CYGB, DHCR24 and BAG2 еxprеssion (P<0.05). Thosе trеatеd with 1400μM MGO showеd incrеasеd CCS, CYBB, PRDX3, SPINK1, DUSP1, EPHX2, EPX, FOXM1, and GPX3 еxprеssion (P<0.05).
ConclusionMGO altеrs oxidativе strеss pathway gеnе, miR-125b, and miR-107 еxprеssion in SH-SY5Y cеlls. Targеting MGO or miR-125b and miR-107 may providе novеl AD thеrapеutic stratеgiеs or improvе sеvеrе symptoms. Furthеr rеsеarch should еlucidatе thе prеcisе mеchanisms.
Keywords: Alzheimer's Disease, Methylglyoxal, Mir-125B, Mir-107, Oxidative Stress Pathway -
مقدمه و هدف
پاتوژنز بیماری آلزایمر نشان می دهد که عدم تعادل بین تولید و پاکسازی آمیلوئید) β- (Aβعامل توسعه زوال عقل است. فعالیت ورزشی رسوب Aβ را از طریق مسیر سیگنال دهی AMPK کاهش می دهد. علاوه بر این، رزوراترول (RSV) دارای اثرات محافظت کننده عصبی مرتبط با زوال شناختی است. هدف از پژوهش حاضر بررسی اثر تمرین هوازی و مصرف رزوراترول بر مسیر AMPK/PGC-1α/SIRT1 هیپوکامپ موش های مبتلا با آلزایمر بود.
مواد و روش هادر این مطالعه تجربی، 35 سر موش صحرایی نر نژاد ویستار در پنج گروه کنترل (NO)، آلزایمر (AD)، آلزایمر-تمرین (ADT)، آلزایمر-رزوراترول (ADRSV) و آلزایمر-تمرین-رزوراترول (ADTRSV) قرار گرفتند. گروه های مکمل، طی دوره مداخله روزانه 20 میلی گرم RSV (به ازای هر کیلوگرم وزن بدن) را به صورت خوراکی دریافت کردند. برنامه تمرین هوازی شامل دویدن روی تردمیل با سرعت 18-6 متر در دقیقه، پنج روز هفته به مدت هشت هفته اجرا شد.
نتایجالقای AD باعث کاهش معنی داری در بیان ژن AMPK/PGC-1α/SIRT1 شد (0001/0=p). تمرین و RSV باعث افزایش معنی داری بیان ژن AMPK/PGC-1α/SIRT1 در موش های صحرایی AD شد (p<0.05). همچنین افزایش معنی داری در میزان تغییرات بیان ژن AMPK، PGC-1α و SIRT1 در گروه ADTRSV نسبت به گروه ADT (به ترتیب 034/0=p و p=020/0 و 038/0=p) و ADRSV (026/0=p ، 021/0=p و 021/0=p) مشاهده شد.
نتیجه گیریالقای AD با کاهش بیان ژن AMPK/PGC-1α/SIRT1 همراه بود و فعالیت ورزشی هوازی و مصرف RSV قادر است این روند را معکوس کند. به نظر تغییر سطوح این شاخص ها به دنبال فعالیت بدنی و استفاده از RSV می تواند تا حدی عوارض بیماری AD را کاهش دهد.
کلید واژگان: فعالیت ورزشی، رزوراترول، بیوژنز میتوکندری، بیماری آلزایمرBackground and ObjectiveThe pathogenesis of AD shows that the imbalance between the production and clearance of amyloid-β (Aβ) is the cause of the development of dementia. Exercise reduces Aβ deposition through the AMPK signaling pathway. In addition, resveratrol (RSV) has neuroprotective effects associated with cognitive decline. The aim of the present study was to investigate the effect of aerobic training and RSV consumption on the AMPK/PGC-1α/SIRT1 pathway in the hippocampus of rats with Alzheimer's disease.
Materials and MethodsIn this experimental study, 35 male Wistar rats were divided into 5 groups: Control (NO), Alzheimer's (AD), Alzheimer's-Training (ADT), Alzheimer's-Resveratrol (ADRSV) and Alzheimer's-Training-Resveratrol (ADTRSV). The supplement groups received 20 mg of RSV (per kg of body weight) orally during the intervention period. Aerobic exercise program including running on treadmill with a speed of 6-18 meters per minute, was performed 5 days a week for eight weeks.
ResultsAD induction caused a significant decrease in the gene expression of AMPK/PGC-1α/SIRT1 (p=0.0001). Exercise and RSV significantly increased the gene expression of AMPK/PGC-1α/SIRT1 in AD rats (p<0.05). Also, a significant increase was observed in the gene expression changes of AMPK, PGC-1α and SIRT1 in the ADTRSV group compared to the ADT group (p=0.034, p=0.020 and p=0.038, respectively) and ADRSV (p=0.026, p=0.021 and p=0.021).
ConclusionAD induction was associated with a decrease in AMPK/PGC-1α/SIRT1 gene expression, and aerobic exercise and RSV consumption can reverse this process. It seems that changing the levels of these indicators following physical activity and the use of RSV can partially reduce the complications of AD.
Keywords: Exercise, Resveratrol, Mitochondrial Biogenesis, Alzheimer's Disease
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