• BMB Reports
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• v.49 no.6
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• pp.337-343
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• 2016

Understanding of trafficking, processing, and degradation mechanisms of amyloid precursor protein (APP) is important because APP can be processed to produce β-amyloid (Aβ), a key pathogenic molecule in Alzheimer's disease (AD). Here, we found that APP contains KFERQ motif at its C-terminus, a consensus sequence for chaperone-mediated autophagy (CMA) or microautophagy which are another types of autophagy for degradation of pathogenic molecules in neurodegenerative diseases. Deletion of KFERQ in APP increased C-terminal fragments (CTFs) and secreted N-terminal fragments of APP and kept it away from lysosomes. KFERQ deletion did not abolish the interaction of APP or its cleaved products with heat shock cognate protein 70 (Hsc70), a protein necessary for CMA or microautophagy. These findings suggest that KFERQ motif is important for normal processing and degradation of APP to preclude the accumulation of APP-CTFs although it may not be important for CMA or microautophagy.

• Journal of Korean Physical Therapy Science
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• v.9 no.3
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• pp.171-178
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• 2002

This research recognized about general ancient temple of Alzheimer dementia. Research of cause of Alzheimer dementia is progressing up to now. Age, education, melancholia, estrogen, woman, smoking, thyroid gland disease, aluminum etc. are danger factor of an Alzheimer dementia. Familyish factor was proved in some degree by gene. Medicine in early patient's case imbecility some measure progress late in degree develop. However, ceilinged thing is true in treatment of Alzheimer dementia up to now, and must help so that their quality of life may can rise and laws of physical therapist must help to keep function in everyday life.

• The Korea Journal of Herbology
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• v.22 no.1
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• pp.35-40
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• 2007

Objectives : This in vitro research was conducted to investigate the effect of the Ginseng Radix plus Crataegi Fructus. on the cytokine protein release and Nitric oxide release in releted to Alzheimer's disease. Methods : Specifically, the effects of the Ginseng Radix plus Crataegi Fructus extract on $IL-1{\beta}$, IL-6, $TNF-{\alpha}$ of BV2 microglia cell line treated with lipopolysacchride. Results: The Ginseng Radix plus Crataegi Fructus extract suppressed the production of inflammatory cytokine protein $IL-1{\beta}$, IL-6, $TNF-{\alpha}$ and in BV2 microglia cell line treated with lipopolysacchride. Conclusion: These results suggest that the Ginseng Radix plus Crataegi Fructus extract may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the Gin-CHF extract for Alzheimer's disease is suggested for future research.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.216-226
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• 2020

In this paper, a stacked convolutional autoencoder model is proposed in order to classify Alzheimer's disease with high accuracy in PET/CT images. The proposed model makes use of the latent space representation - which is also called the bottleneck, of the encoder-decoder architecture: The input image is sent through the pipeline and the encoder part, using stacked convolutional filters, extracts the most useful information. This information is in the bottleneck, which then uses Softmax classification operation to classify between Alzheimer's disease, Mild Cognitive Impairment, and Normal Control. Using the data from Dong-A University, the model performs classification in detecting Alzheimer's disease up to 98.54% accuracy.

• BMB Reports
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• v.53 no.1
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• pp.28-34
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• 2020

Sphingolipids are ubiquitous building blocks of eukaryotic cell membranes that function as signaling molecules for regulating a diverse range of cellular processes, including cell proliferation, growth, survival, immune-cell trafficking, vascular and epithelial integrity, and inflammation. Recently, several studies have highlighted the pivotal role of sphingolipids in neuroinflammatory regulation. Sphingolipids have multiple functions, including induction of the expression of various inflammatory mediators and regulation of neuroinflammation by directly effecting the cells of the central nervous system. Accumulating evidence points to sphingolipid engagement in neuroinflammatory disorders, including Alzheimer's and Parkinson's diseases. Abnormal sphingolipid alterations, which involves an increase in ceramide and a decrease in sphingosine kinase, are observed during neuroinflammatory disease. These trends are observed early during disease development, and thus highlight the potential of sphingolipids as a new therapeutic and diagnostic target for neuroinflammatory diseases.

• Journal of the Korean Magnetic Resonance Society
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• v.13 no.2
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• pp.84-95
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• 2009

The purpose of this study was to evaluate the usefulness of the measurement of corpus callosum (CC) size in the Alzheimer patient by using magnetic resonance (MR) midsagittal image. We performed MR scanning in 20 normal high age group, and in 20 mild cognitive impairment (MCI) group, and in 20 Alzheimer disease (AD) group. The following parameters were employed in AD group: TRITE/FA 6650ms/66ms/$90^{\circ}$, NEX 2, Thickness/Gap 2/0, FOV 220mm. The magnetic field strength was used at 3.0 Tesla. We selected midsagittal image of the brain by using view forum program, measured CC size, which were anteroposterior length, diameter of genu, body, narrowing portion, and splenium. The present study demonstrates that CC size of Alzheimer disease can be useful for clinical assessment concerning the diameter of genu, body, and splenium.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.39
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• pp.129-142
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• 1996

The early diagnosis has an very important role in curing dementia. But there was not the effective method to diagnose it until now. In this paper we analyzed the EEG of Alzheimer's disease patients and normal groups by nonlinear methods. In the analysis we calculated the correlation dimensions $D_2$ and the largest Lyapunov exponent $L_1$. We found that patients with Alzheimer's disease have significantly lower $D_2$ and TEX>$L_1$ than normal groups. It means that brains injured by Alzheimer's disease have electrophysiological inactive elements and have decreased chaotic behaviour. We propose the nonlinear analysis of the EEG as a useful tool for the early diagnosis of Alzheimer's disease.

• ETRI Journal
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• v.46 no.1
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• pp.96-105
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• 2024

We propose a method to automatically predict Alzheimer's disease from speech data using the ChatGPT large language model. Alzheimer's disease patients often exhibit distinctive characteristics when describing images, such as difficulties in recalling words, grammar errors, repetitive language, and incoherent narratives. For prediction, we initially employ a speech recognition system to transcribe participants' speech into text. We then gather opinions by inputting the transcribed text into ChatGPT as well as a prompt designed to solicit fluency evaluations. Subsequently, we extract embeddings from the speech, text, and opinions by the pretrained models. Finally, we use a classifier consisting of transformer blocks and linear layers to identify participants with this type of dementia. Experiments are conducted using the extensively used ADReSSo dataset. The results yield a maximum accuracy of 87.3% when speech, text, and opinions are used in conjunction. This finding suggests the potential of leveraging evaluation feedback from language models to address challenges in Alzheimer's disease recognition.

• Journal of Physiology & Pathology in Korean Medicine
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• v.16 no.5
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• pp.960-966
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• 2002

Ramulus et Uncus Uncariae (JGD) has sweet in flavour and slightly cold in property, acting on the liver and pericardium channels. This drug was described in a medical classic as having the ability to remove 'heat', check hyperfunction of the liver and relieve dizziness, tremors, and convulsions, and subdue 'endogenous wind'. So this study was estimated to check the anti-neuropathological effect of JGD on the Alzheimer in βAPP overexpression in neuroblastoma cell line and JGD extract was showed significantly anti-alzheimer effects (50 and 100 μg/㎖ of JGD extracts) compared with control group. Ramulus et Uncus Uncariae has anti-alzheimer effects on the βAPP overexpression in neuroblastoma cell line. So we expect that Ramulus et Uncus Uncariae may be used as a drug for neurodegenerative disease, such as stroke, Alzheimer's disease (AD). These results indicate that Ramulus et Uncus Uncariae possess strong inhibitory effect in the nervous system of apoptosis and repair effect against the degeneration of Neuroblastoma cells by βAPP expression.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3583-3597
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• 2020

In this paper, a parallel deep learning model using a convolutional neural network and a dilated convolutional neural network is proposed to classify Alzheimer's disease with high accuracy in PET/CT images. The developed model consists of two pipelines, a conventional CNN pipeline, and a dilated convolution pipeline. An input image is sent through both pipelines, and at the end of both pipelines, extracted features are concatenated and used for classifying Alzheimer's disease. Complimentary abilities of both networks provide better overall accuracy than single conventional CNNs in the dataset. Moreover, instead of performing binary classification, the proposed model performs three-class classification being Alzheimer's disease, mild cognitive impairment, and normal control. Using the data received from Dong-a University, the model performs classification detecting Alzheimer's disease with an accuracy of up to 95.51%.