• Journal of Oriental Neuropsychiatry
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• v.17 no.1
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• pp.37-57
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• 2006

Objective : This research investigates the effect of the CMT and MCMT on Alzheimer‘s disease. Methods : The effects of the CMT and MCMT extract on (1) amyloid precursor proteins(APP), acetylcholinesterase(AChE) mRNA of PC-12 cells treated with CT-105; (2) the AChE activity and the APP production of PC-12 cell treated with CT-105; (3) the behavior; (4) expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA, GFAP, CD68 abd CD11b; (5) the infarction area of the hippocampus in Alzheimer's diseased mice induced with ${\beta}A$ were investigated. Results : 1. The CMT and MCMT extract suppressed the expression of APP, AChE, and mRNA in PC-12 cells treated with CT-105. 2. The CMT and MCMT extract suppressed the AChE activity, and the production of APP significantly in PC-12 cells treated with CT-105. 3. For the CMT and MCMT extract group a significant inhibitory effect on the memory deficit was shown for the mice with Alzheimer's disease induced by ${\beta}A$ in the Morris water maze experiment, which measured stop-through latency, and distance movement-through latency. 4. The CMT and MCMT extract suppressed the over-expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA, GFAP, CD68 abd CD11bCD68/GFAP, in the mice with Alzheimer's disease induced by ${\beta}A$. 5. The CMT and MCMT extract reduced the infarction area of hippocampus with Alzheimer's disease induced by ${\beta}A$ 6. The MCMT showed more excellent effects than CMT in the every experiments except PC-12 cells. Conclusions : These results suggest that the CMT and MCMT extract may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the CMT and MCMT extract for Alzheimer's disease is suggested for future research.

• The Journal of Korean Medicine
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• v.28 no.2 s.70
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• pp.137-154
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• 2007

Objective : This experiment was designed to investigate the effect of the GYZB hot water extract & ultra-fine powder on the Alzheimer's disease model induced by amyloid ${\beta}$ protein (${\beta}A$). Method : We measured the effects of the GYZB hot water extract on expression of $IL-1{\beta}$, IL-6 mRNA and production of IL-6, $TNF-{\alpha}$ in the BV2 microglial cell line treated with lipopolysaccharide (LPS). The effects of the GYZB hot water extract & ultra-fine powder on (1) the behavior, (2) expression of $IL-1{\beta}$ and $TNF-{\alpha}$, (3) glucose in serum, (4) the infarction area of the hippocampus, and brain tissue injury in mice induced with Alzheimer's diseased by ${\beta}A$ were investigated. Results : The GYZB hot water extract suppressed the expression of $IL-1{\beta}$ and IL-6 mRNA and significantly suppressed the production of IL-6 and $TNF-{\alpha}$ in the BV2 microglial cell line treated with LPS. The GYZB hot water extract & ultra-fine powder showed a significant inhibitory effect on the memory deficit of the mice with Alzheimer's disease induced by ${\beta}A$ in the Morris water maze experiment, which measured stop-through latency and distance movement-through latency. The GYZB ultra-fine powder significantly suppressed the expression of $IL-1{\beta}$ and $TNF-{\alpha}$ protein, and the GYZB hot water extract significantly suppressed the expression of $TNF-{\alpha}$ protein in the microglial cell of mice with Alzheimer's disease induced by ${\beta}A$. The GYZB hot water extract & ultra-fine powder reduced the infarction area of hippocampus in the mice with Alzheimer's disease induced by ${\beta}A$. Conclusions : These results suggest that GYZB hot water extract & ultra-fine powder may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of GYZB for Alzheimer's disease is suggested for future research.

• Journal of Oriental Neuropsychiatry
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• v.18 no.2
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• pp.101-132
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• 2007

Objective : This research investigates the effect of the NogYongDaeBoTang,(NYDBT) on Alzheimer's disease. Method : The effects of the NYDBT extract on (1) $IL-1{\beta}$, IL-6, and $TNF-{\alpha}$ mRNA of PC-12 cells treated with LPS; (2) acetylcholinesterase(AChE), amyloid precursor proteins(APP), and glial fibrillary acidic protein(GFAP) mRNA the AChE activity and the APP production of PC-12 cell treated with CT-105; (3) the behavior; (4) expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA, $IL-1{\beta}$ mRNA, and $TNF-{\alpha}$ mRNA; (5) the infarction area of the hippocampus, and brain tissue injury in Alzheimer‘s diseased mice induced with ${\beta}A$ were investigated. Results : 1. The NYDBT extract suppressed the expression of $IL-1{\beta}$, IL-6 and $TNF-{\alpha}$ mRNA in BV2 microglia cell line treated with LPS. 2. The NYDBT extract suppressed the expression of $IL-1{\beta}$, IL-6, and $TNF-{\alpha}$ protein production in BV2 microglia cell line treated with LPS. 3. For the NYDBT extract group a significant inhibitory effect on the memory deficit was shown for the mice with Alzheimer's disease induced by $A{\beta}$ in the Morris water maze experiment, which measured stop-through latency, and distance movement-through latency. 4. The NYDBT extract suppressed the over-expression of $IL-1{\beta}$ protein, $TNF-{\alpha}$ protein, MDA, and CD68/CD11b, in the mice with Alzheimer's disease induced by $A{\beta}$. 5. The NYDBT extract reduced the infarction area of hippocampus, and controlled the injury of brain tissue in the mice with Alzheimer's disease induced by $A{\beta}$. 6. The NYDBT extract reduced the Tau protein, GFAP protein, and presenilin1/2 protein (immunohistochemistry) of hippocampus in the mice with Alzheimer's disease induced by $A{\beta}$. Conclusions : These results suggest that the NYDBT extract may be effective for the prevention and treatment of Alzheimer's disease.

• Journal of Oriental Neuropsychiatry
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• v.16 no.1
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• pp.97-117
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• 2005

This research investigates the effect of the Chaenomelis fructus(CMF) on Alzheimer's disease. Specifically, the effects of the CMF extract on (1) >$IL-1{\beta}$, IL-6, and $TNF-{\alpha}$ mRNA of PC-12 cells treated with LPS; (2) amyloid precursor proteins(APP), acetylcholinesterase(AChE), and glial fibrillary acidic protein(GFAP) mRNA of PC-12 cells treated with CT-105; (3) the AChE activity and the APP production of PC-12 cell treated with CT-105; (4) the behavior of AD mice with ${\beta}A$; (5) expression of $IL-1{\beta}$, $TNF-{\alpha}$, MDA, $IL-1{\beta}$ mRNA, $TNF-{\alpha}$ mRNA, and ROS; (6) the infarction area of the hippocampus, and brain tissue injury in Alzheimer's diseased mice induced with ${\beta}A$ were investigated. The results were summarized as follows; 1. The CMF extract suppressed the expression of $IL-1{\beta}$, IL-6 and $TNF-{\alpha}$ mRNA in THP-1 cells treated with LPS. 2. The CMF extract suppressed the expression of APP, AChE, and GFAP mRNA in PC-12 cells treated with CT-105. 3. The CMF extract suppressed the AChE activity, and the production of APP significantly in PC-12 cells treated with CT-105. 4. A significant inhibitory effect on the memory deficit was shown on the CMF extract group of the mice with Alzheimer's disease induced by ${\beta}A$ in the Morris water maze experiment, which measured stop-through latency, and distance movement-through latency. 5. The CMF extract suppressed the over-expression of $IL-1{\beta}$ protein, $TNF-{\alpha}$ protein, MDA, $IL-1{\beta}$ protein, mRNA, $TNF-{\alpha}$ mRNA, CD68/GFAP, and ROS in the mice with Alzheimer's disease induced by ${\beta}A$. 6. The CMF extract reduced the infarction area of hippocampus, and controlled the injury of brain tissue in the mice with Alzheimer’s disease induced by ${\beta}A$. These results suggest that the CMF extract may be effective for the treatment of Alzheimer’s disease. Investigation into the clinical use of the CMF extract for Alzheimer's disease is suggested for future research.

• Journal of the Korean Society of Radiology
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• v.10 no.5
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• pp.307-312
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• 2016

Alzheimer's disease is the most common degenerative brain diseases that causes dementia. ${\beta}$-amyloid neuritic plaque density that accumulates in the brain is difficult to perform daily living, such as memory loss, language ability deterioration. It is used to estimate ${\beta}$-amyloid neuritic plaque density in adult patients with cognitive impairment who are being evaluated for Alzheimer's disease and other causes of cognitive impairment. Using the $^{18}F$-Florbetaben with high sensitivity and specificity for the ${\beta}$-amyloid neuritic plaque density to evaluate the usefulness for the early diagnosis of Alzheimer's disease. In $^{18}F$-FDG Brain imaging shows no specific findings. And it appeared on the MR-Brain imaging without atrophy of the hippocampus. However, the intake of ${\beta}$-amyloid neuritic plaque density in $^{18}F$-Florbetaben informs that it is the progress of Alzheimer's disease. Therefore, $^{18}F$-Florobetaben is very useful for early diagnosis of Alzheimer's disease.

• Korean Journal of Plant Resources
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• v.20 no.4
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• pp.325-330
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• 2007

This study was conducted to investigate the effect of the mixed extract of P. ginseng C.A. Mey. and C. sinensis K. (Gin-CHF) on the infarction area of hippocampus in the mice with Alzheimer's disease induced by ${\beta}-amyloid({\beta}A)$. The Gin-CHF extract reduced the infarction area of hippocampus, and controlled the injury of brain tissue in the mice with Alzheimer's disease induced by ${\beta}A$. The Gin-CHF extract reduced the Tau protein, GFAP protein, and presenilin1/presenilin2 protein (immunohistochemistry) of hippocampus in the mice with Alzheimer's disease induced by ${\beta}A$. These results suggest that the Gin-CHF 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 further research.

• Journal of Korea Multimedia Society
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• v.22 no.10
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• pp.1168-1177
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• 2019

In order to diagnose and prevent Alzheimer's Disease (AD), it is becoming increasingly important to develop a CAD(Computer-aided Diagnosis) system for AD diagnosis, which provides effective treatment for patients by analyzing 3D MRI images. It is essential to apply powerful deep learning algorithms in order to automatically classify stages of Alzheimer's Disease and to develop a Alzheimer's Disease support diagnosis system that has the function of detecting hippocampus and CSF(Cerebrospinal fluid) which are important biomarkers in diagnosis of Alzheimer's Disease. In this paper, for AD diagnosis, we classify a given MRI data into three categories of AD, mild cognitive impairment, and normal control according by applying 3D brain MRI image to the Faster R-CNN model and detect hippocampus and CSF in MRI image. To do this, we use the 2D MRI slice images extracted from the 3D MRI data of the Faster R-CNN, and perform the widely used majority voting algorithm on the resulting bounding box labels for classification. To verify the proposed method, we used the public ADNI data set, which is the standard brain MRI database. Experimental results show that the proposed method achieves impressive classification performance compared with other state-of-the-art methods.

• Journal of Dental Anesthesia and Pain Medicine
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• v.17 no.4
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• pp.271-280
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• 2017

Background: The number of patients with Alzheimer's disease is growing worldwide, and the proportion of patients requiring dental treatment under general anesthesia increases with increasing severity of the disease. However, outpatient anesthesia management for these patients involves great risks, as most patients with Alzheimer's disease are old and may show reduced cardiopulmonary functions and have cognitive disorders. Methods: This study retrospectively investigated 43 patients with Alzheimer's disease who received outpatient anesthesia for dental treatment between 2012-2017. Pre-anesthesia patient evaluation, dental treatment details, anesthetics dose, blood pressure, duration and procedure of anesthesia, and post-recovery management were analyzed and compared between patients who underwent general anesthesia or intravenous sedation. Results: Mean age of patients was about 70 years; mean duration of Alzheimer's disease since diagnosis was 6.3 years. Severity was assessed using the global deterioration scale; 62.8% of patients were in level ${\geq}6$. Mean duration of anesthesia was 178 minutes for general anesthesia and 85 minutes for intravenous sedation. Mean recovery time was 65 minutes. Eleven patients underwent intravenous sedation using propofol, and 22/32 cases involved total intravenous anesthesia using propofol and remifentanil. Anesthesia was maintained with desflurane for other patients. While maintaining anesthesia, inotropic and atropine were used for eight and four patients, respectively. No patient developed postoperative delirium. All patients were discharged without complications. Conclusion: With appropriate anesthetic management, outpatient anesthesia was successfully performed without complications for dental treatment for patients with severe Alzheimer's disease.

• Journal of Multimedia Information System
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• v.8 no.4
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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.

• Toxicological Research
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• v.28 no.2
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• pp.93-98
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• 2012

This study has attempted to establish an analysis method through validation against heavy metals in the body (Pb, Cd and Hg) using ICP-MS and Gold amalgamation and find out the relevance between heavy metal and Alzheimer's disease after analyzing the distribution of heavy metal concentration (Pb, Cd and Hg) and correlations between a control group and Alzheimer's disease group. In this study, Pb and Cd levels in the blood and serum were validation using ICP-MS. For analysis of Hg levels in the blood and serum, the gold amalgamation-based 'Direct Mercury Analyzer' has been used. According to an analysis on the heavy metal concentration (Pb, Cd and Hg concentration) in the blood, Cd concentration was high in the Alzheimer's disease group. In the serum, on the contrary, Pb and Hg were high in the Alzheimer's disease group. For analysis of correlations between heavy metal levels in the blood and serum and Alzheimer's disease, t-test has been performed. Even though correlations were observed between the blood lead levels and Alzheimer's disease, they were statistically insignificant because the concentration was higher in a control group. No significance was found in Cd and Hg. In the serum, on the other hand, no statistical significance was found between the heavy metal (Pb, Cd and Hg) and Alzheimer's disease. In this study, no statistical significance was observed between heavy metal and decrease in cognitive intelligence. However, it appears that a further study needs to be performed because the results of the conventional studies were inconsistent.