• Journal of Acupuncture Research
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• 제23권3호
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• pp.117-127
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• 2006

Alzheimer's disease (AD) is the most prevalent form of neurodegenerative disease associated with aging in the human population. This disease is characterized by the following 4 structural changes : Atrophy of the Cortex, Parasympathetic, and other neural cells, the existence of Neurofibrillary tangles (NFTs), and the accumulation of Senile plaques. NFTs and Senile plaques is known to be the index of this disease. Senile plaques disturbs the neutro transmission and depletes of Acetylcholine. So, Recovery of Acetylcholine is the primal objective for treating Alzheimer's disease. So, Inhibiting the activity of Acetylcholine Esterase (AChE), which causes the hydrolysus of acetylcholine into choline and acetate, can be seen as a key role for treating Alzheimer's disease. Increasing body of evidence has been demonstrated that Bee Venom Acupuncture (BV) could compete with complex protein involving in multiple step of $NF-_{\kappa}B$ activation and exert the anti-inflammatory potential of combined inhibition of the prostanoid and nitric oxide synthesis systems by inhibition of IKK and $NF-_{\kappa}B$. BV dose-dependently attenuated Scopolamine-induced Acetylcholine esterase activities in cerebral cortex and hippocampus of the mice brain. This study therefore suggests that BV acupuncture method may be useful for prevention of development or progression of AD.

• 생명과학회지
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• 제30권12호
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• pp.1118-1127
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• 2020

알츠하이머병은 점진적인 신경세포의 손상과 이로 인해 인지기능 장애를 유발하는 질병이다. 이 질환은 현재로서는 치료할 수 있는 질환이 아니고 진행을 멈추게 할 수 있는 방법이 없다. 그러나 초기에 알츠하이머병을 치료하는 것이 가장 효과적이므로 초기 진단은 증상을 관리할 수 있는 가장 좋은 기회를 제공할 수 있다. 알츠하이머병을 진단하기 위한 바이오마커로는 아밀로이드 베타(Aβ), 병적인 타우, 그리고 신경퇴화가 있고, Aβ의 축적, 인산화 타우는 뇌척수액이나 양전자 방출 단층촬영술을 통해 분석할 수 있다. 그러나 뇌척수액의 채취는 매우 침습적이고 양전자 방출 단층촬영술은 전문적인 고가의 장비가 필요하다. 지난 수십년 동안 빠르고 최소한의 침습성을 가진 바이오마커 분석법을 개발하기 위하여 혈액에 기반한 바이오마커 분석 기술이 연구되어 왔다. 그 중 주목할 만 한 발견이 혈장에서 Aβ의 주요 원천으로 혈소판과의 관련성이다. 아밀로이드 베타는 혈액-뇌 장벽을 통과 할 수 있고 정상 상태에서는 뇌와 혈액 간 평형을 이루게 된다. 흥미롭게도, 여러 임상시험 결과 혈장에서 Aβ42/Aβ40 비율이 가벼운 인지장애 질환과 알츠하이머병에서 감소되어 있는 것을 증명하였다. 종합하면, 이러한 최근의 발견들은 침습성을 최소화한 알츠하이머병의 초기 진단 기술을 개발하는 데 이용될 수 있다. 본 총설에서, 저자들은 알츠하이머병의 바이오마커에 대한 최근 연구결과들, 특히 말초에서 Aβ를 생산하는 혈소판의 역할과 혈액 기반 바이오마커로서의 개발 가능성에 대해 고찰하였다.

• 한국임상약학회지
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• 제33권4호
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• pp.290-304
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• 2023

Background: Innovative Alzheimer's disease drugs received approval in the United States in 2021 and 2023. This study aims to assess the safety and efficacy of these novel treatments, elucidate their mechanisms of action, and compare their impact on cognitive function improvement with approved drugs. Methods: We conducted a comprehensive search of pivotal clinical studies related to Alzheimer's disease treatments in PubMed/Medline, Embase, and the Cochrane Library databases from January 1st, 2020 to December 31st, 2022. Meta-analysis was performed using RevMan 5.4 software. Results: A total of 14 studies were included in this systematic review. When compared to the placebo, the new drugs did not exhibit a statistically significant effect on MMSE (Mini-Mental State Examination) (mean difference= -0.04, 95% confidence intervals [CIs]: -0.31, 0.23, N=3662, I²=0%). However, they demonstrated a significant impact on ADAS-cog (Alzheimer's Disease Assessment Scale-Cognitive Subscale) (standardized mean difference= -0.15, 95% CIs: -0.2, -0.1, N=6710, I²=17%). When compared to the approved drugs, the new drugs showed a statistically significantly lower effect on MMSE (test for subgroup difference Chi²=23.13, N = 5870, p<0.00001) but showed only a trend of decreased efficacy on ADAS-cog (Chi²=1.16, N = 8670, p=0.28). Conclusion: New drugs yielded diverse clinical endpoint results compared to the placebo, and in comparison to existing approved drugs, they exhibited lower efficacy in improving cognitive function. The safety profile of these new drugs, as reported in clinical trials, was generally well-tolerated.

• 생물정신의학
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• 제21권4호
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• pp.115-117
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• 2014

Variety of biomarkers that are related to the Alzheimer's disease and its diagnosis and progress have been found. However, research lacks in predicting the reaction of the treatment. In addition, there is no definite treatment reaction to the disease but rather it is varied. The purpose of this review article is to study the research of the biomarkers that are able to predict the treatment reaction. There was a research that illustrated a relationship between plasma amyloid ${\beta}$ peptide, cerebrospinal fluid tau, neuroanatomical biomarkers and acetylcholinesterase inhibitors. Polymorphisms in genes of the cholinergic markers AChE, BuChE, ChAT and PON-1 were found to be associated with better clinical response to acetylcholinesterase inhibitors. Many pharmacogenetic studies have been conducted to evaluate the impact of the lipoprotein apolipoprotein E (APOE) genotype on treatment response to acetylcholinesterase inhibitor. However, there is no significant influence of the APOE genotypes on treatment response. Further research is needed to find other predictors of treatment with acetylcholinesterase inhibitors in patients with Alzheimer's disease.

• 대한의생명과학회지
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• 제25권1호
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• pp.7-14
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• 2019

Alzheimer's disease (AD) is highly prevalent in dementia, with no specifically effective treatment having yet been discovered. Amyloid plaques are one of the key hallmarks of AD. Transgenic mouse models exhibiting Alzheimer's disease-like pathology have been widely used to study the pathophysiology of Alzheimer's disease. In this study, we showed an age-dependent correlation between cognitive function, pathological findings, and [F-18] Florbetaben (FBB) PET images. Nineteen transgenic mice (12 with AD, 7 with controls) were used for this study. We observed an increase in ${\beta}$-Amyloid deposition ($A{\beta}$) in brain tissue and [F-18] FBB amyloid PET imaging in the AD group. The [F-18] FBB data showed a mildly negative trend with cognitive function. Pathological findings were negatively correlated with cognitive functions. These finding suggests that amyloid beta deposition can be well-monitored with [F-18] FBB PET and a decline in cognitive function is related to the increase in amyloid plaque burden.

• Nutrition Research and Practice
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• 제13권1호
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• pp.64-69
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• 2019

BACKGROUND/OBJECTIVES: Alzheimer's disease is a neurodegenerative disease that induces symptoms such as a decrease in motor function and cognitive impairment. Increases in the aggregation and deposition of amyloid beta protein ($A{\beta}$) in the brain may be closely correlated with the development of Alzheimer's disease. In this study, the effects of an adzuki bean extract on the aggregation of $A{\beta}$ were examined; moreover, the anti-Alzheimer's activity of the adzuki extract was examined. MATERIALS/METHODS: First, we undertook thioflavin T (ThT) fluorescence analysis and transmission electron microscopy (TEM) to evaluate the effect of an adzuki bean extract on $A{\beta}_{42}$ aggregation. To evaluate the effects of the adzuki extract on the symptoms of Alzheimer's disease in vivo, $A{\beta}_{42}$-overexpressing Drosophila were used. In these flies, overexpression of $A{\beta}_{42}$ induced the formation of $A{\beta}_{42}$ aggregates in the brain, decreased motor function, and resulted in cognitive impairment. RESULTS: Based on the results obtained by ThT fluorescence assays and TEM, the adzuki bean extract inhibited the formation of $A{\beta}_{42}$ aggregates in a concentration-dependent manner. When $A{\beta}_{42}$-overexpressing flies were fed regular medium containing adzuki extract, the $A{\beta}_{42}$ level in the brain was significantly lower than that in the group fed regular medium only. Furthermore, suppression of the decrease in motor function, suppression of cognitive impairment, and improvement in lifespan were observed in $A{\beta}_{42}$-overexpressing flies fed regular medium with adzuki extract. CONCLUSIONS: The results reveal the delaying effects of an adzuki bean extract on the progression of Alzheimer's disease and provide useful information for identifying novel prevention treatments for Alzheimer's disease.

• Journal of Multimedia Information System
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• 제8권4호
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• pp.233-242
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• 2021

Various anatomical MRI imaging biomarkers for Alzheimer's Disease (AD) identification have been recognized so far. Cortical and subcortical volume, hippocampal, amygdala volume, and genetics patterns have been utilized successfully to diagnose AD patients from healthy. These fundamental sMRI bio-measures have been utilized frequently and independently. The entire possibility of anatomical MRI imaging measures for AD diagnosis might thus still to analyze fully. Thus, in this paper, we merge different structural MRI imaging biomarkers to intensify diagnostic classification and analysis of Alzheimer's. For 54 clinically pronounce Alzheimer's patients, 58 cognitively healthy controls, and 99 Mild Cognitive Impairment (MCI); we calculated 1. Cortical and subcortical features, 2. The hippocampal subfield, amygdala nuclei volume using Freesurfer (6.0.0) and 3. Genetics (APoE ε4) biomarkers were obtained from the ADNI database. These three measures were first applied separately and then combined to predict the AD. After feature combination, we utilize the sequential feature selection [SFS (wrapper)] method to select the top-ranked features vectors and feed them into the Multi-Kernel SVM for classification. This diagnostic classification algorithm yields 94.33% of accuracy, 95.40% of sensitivity, 96.50% of specificity with 94.30% of AUC for AD/HC; for AD/MCI propose method obtained 85.58% of accuracy, 95.73% of sensitivity, and 87.30% of specificity along with 91.48% of AUC. Similarly, for HC/MCI, we obtained 89.77% of accuracy, 96.15% of sensitivity, and 87.35% of specificity with 92.55% of AUC. We also presented the performance comparison of the proposed method with KNN classifiers.

• Journal of Information Processing Systems
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• 제17권1호
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• pp.178-190
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• 2021

Alzheimer's disease (AD) is an insidious and degenerative neurological disease. It is a new topic for AD patients to use magnetic resonance imaging (MRI) and computer technology and is gradually explored at present. Preprocessing and correlation analysis on MRI data are firstly made in this paper. Then kernel principal component analysis (KPCA) is used to extract features of brain gray matter images. Finally supervised classification schemes such as AdaBoost algorithm and support vector machine algorithm are used to classify the above features. Experimental results by means of AD program Alzheimer's Disease Neuroimaging Initiative (ADNI) database which contains brain structural MRI (sMRI) of 116 AD patients, 116 patients with mild cognitive impairment, and 117 normal controls show that the proposed method can effectively assist the diagnosis and analysis of AD. Compared with principal component analysis (PCA) method, all classification results on KPCA are improved by 2%-6% among which the best result can reach 84%. It indicates that KPCA algorithm for feature extraction is more abundant and complete than PCA.

• 동의신경정신과학회지
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• 제28권4호
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• pp.359-371
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• 2017

Objectives: The objective of this study was to review the effect of oral administration of herbal medicines on the improvement of memory in Alzheimer's disease animal model reported in Korean domestic journals. Methods: The Korean databases (Koreantk, KISS) were searched with memory as a popular search term. During the searches, only animal study reports were reviewed. Data of animal models, intervention, observation methods of measuring indicators were extracted from the databases. Results: Typically, 36 articles were reviewed. Twenty-two studies used scopolamine to induce Alzheimer's disease, 24 studies used complex herbal medicines, and 12 studies used simple herbal medicines. Polygalae Radix and Acori Rhizoma were the most frequently used herbal medicines to improve memory in Alzheimer model. To evaluate the effect of herbal medicines, 36 studies used macroscopy, 16 studies used molecular biological analysis, 21 studies used biochemical analysis, 15 studies used histological analysis, and 11 studies used hematological analysis. Each study showed significant improvement with respect to memory indicators. Conclusions: Overall, the results suggest that treatment employing herbal medicines is an effective option to treat memory impairment in Alzheimer's disease.

• 한국식품영양학회지
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• 제33권6호
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• pp.614-623
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• 2020

The objective of this study was to produce a nutrient delivery system (NDS) using sialic acid extracted from edible bird's nest (EBN), which improves brain function in patients with Alzheimer's disease and Parkinson's disease, by affinity bead technology (ABT). The inhibitory activity of acetylcholinesterase (AChE) and pyramidal cells in the dentate gyrus of the hippocampus were analyzed to investigate the effect of a sialic acid NDS on Alzheimer's disease. Also, the effect of a sialic acid NDS on Parkinson's disease was evaluated by rota-rod test and pole test in an animal model. Among the groups treated with donepezil, EBN, and sialic acid NDS, the AChE activity was the lowest in the sialic acid NDS-treated group. The results of the hippocampus analysis of the rat model confirmed that the sialic acid NDS inhibited amyloid-beta accumulation depending upon the concentration. Also, the sialic acid NDS group showed more improvement in motor deterioration than the1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced group in both the rota-rod test and pole test. Therefore, the sialic acid NDS had an effect of protecting not only Alzheimer's disease by inhibiting AChE and amyloid-beta accumulation, but Parkinson's disease by preventing neurotoxicity induced by MPTP.