• 제목/요약/키워드: Disease model

검색결과 3,142건 처리시간 0.031초

Sinapic Acid Ameliorates REV-ERB α Modulated Mitochondrial Fission against MPTP-Induced Parkinson's Disease Model

  • Lee, Sang-Bin;Yang, Hyun Ok
    • Biomolecules & Therapeutics
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    • 제30권5호
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    • pp.409-417
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    • 2022
  • Parkinson's disease (PD) is the second most common neurodegenerative disease worldwide, and accumulating evidence indicates that mitochondrial dysfunction is associated with progressive deterioration in PD patients. Previous studies have shown that sinapic acid has a neuroprotective effect, but its mechanisms of action remain unclear. The neuroprotective effect of sinapic acid was assayed in a PD mouse model generated by the neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) as well as in SH-SY5Y cells. Target protein expression was detected by western blotting. Sinapic acid treatment attenuated the behavioral defects and loss of dopaminergic neurons in the PD models. Sinapic acid also improved mitochondrial function in the PD models. MPTP treatment increased the abundance of mitochondrial fission proteins such as dynamin-related protein 1 (Drp1) and phospho-Drp1 Ser616. In addition, MPTP decreased the expression of the REV-ERB α protein. These changes were attenuated by sinapic acid treatment. We used the pharmacological REV-ERB α inhibitor SR8278 to confirmation of protective effect of sinapic acid. Treatment of SR8278 with sinapic acid reversed the protein expression of phospho-Drp1 Ser616 and REV-ERB α on MPTP-treated mice. Our findings demonstrated that sinapic acid protects against MPTP-induced PD and these effects might be related to the inhibiting abnormal mitochondrial fission through REV-ERB α.

목근피가 $\betaA$로 유도된 Alzheimer's Disease 생쥐 모델에 미치는 영향 (The Effects of Hibiscus Syriacus Extract on the Alzheimer's Disease Mice Model Induced by $\betaA$)

  • 이상룡;정인철
    • 동의생리병리학회지
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    • 제18권3호
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    • pp.797-807
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    • 2004
  • This research investigates the effect of the Hibiscus syriacus(HSS) on Alzheimer's disease. The effects of the HSS extract on the behavior in the Morris water maze experiment; the expression of IL-1β, TNF-α, IL-1β mRNA, TNF-α mRNA, CD68/GFAP and RDS; the the infarction area of the hippocampus, and brain tissue injury in Alzheimer's diseased mice induced with M were investigated. The HSS extract group showed a significant inhibitory effect on the memory deficit on the mice with Alzheimer's disease induced by βA in the Morris water maze experiment. The HSS extract group suppressed the over-expression of IL-1β, TNF-α, IL-1β and TNF-α mRNA, CD68/GFAP, RDS in the mice with Alzheimer's disease induced by βA. The HSS extract reduced the infarction area of hippocampus, and controlled the injury of brain tissue in the mice with Alzheimer's disease induced by βA. This study suggest that HSS may be effective for the prevention and treatment of Alzheimer's disease

Development of Leaf Spot (Myrothecium roridum) and Dispersal of Inoculum in Mulberry (Morus spp.)

  • Kumar, P.M.Pratheesh;Pal, S.C.;Qadri, S.M.H.;Gangwar, S.K.;Saratchandra, B.
    • International Journal of Industrial Entomology and Biomaterials
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    • 제6권2호
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    • pp.163-169
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    • 2003
  • Studies were conducted on the effect of pruning time, host age, conidial dispersal and weather parameters on the incidence and severity of mulberry leaf spot (Myrothecium roridum). The disease severity (%) increased with increase in shoot age irrespective of pruning date. Maximum disease severity was observed in plants pruned during first week of April and minimum disease severity in plants pruned during first week of March. Significant (P < 0.01) influence of date of pruning, shoot age and their interaction was observed on severity of the disease. Apparent infection rate (r) was significantly higher during the plant growth period from day 48 to day 55. Average apparent yale was higher in plants pruned during first week of April and least in plants pruned during first week of July. The disease infection was negatively correlated to distance from the inoculum source. Leaf spot severity (%) was influenced by weather parameters. Multiple regression analysis revealed contribution of various combinations of weather parameters on the disease severity. Linear prediction model $(Y = -81.803+1.176x_2+0.765x_3) with significant $R^2$ was developed for prediction of the disease under natural epiphytotic condition.

동물(젖소) 건강 Monitoring System 모델 개발 III. 목장에서 빈발하는 질병의 비용 평가 (Development of a Model for a National Animal Health Monitoring System in Gyeongnam III. Cost Estimates of Selected Dairy Cattle Diseases)

  • 김종수;김용환;이효종;김곤섭;김충희;박정희;하대식;최민철
    • 한국임상수의학회지
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    • 제16권2호
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    • pp.428-438
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    • 1999
  • A study was conducted to estimate cost of major dairy cattle diseases. Forty (n=40) of the 167 dairy herds in Gyeongnam (Chinju) area were stratified and selected randomly for participation in the national animal health monitoring system. Gyeongsnag University veterinarians, Gyeongnam Livestock Promotion Institute veterinarians and clinic veterinarian visited each herd once a month for a total periods of 12 months. At a each visit data on disease, production, management, finance, treatments, preventive activities, animal events, and any other relevant events were collected. Monthly and annual cost estimates of disease treatment were in computed in each herd and stratum(including cost of prevention). Results were expressed as cost per head and given separately for cows, young stock, and calves. In cows, the most expensive seven diseases entities (from the most to the least) were : (1) clinical mastitis; (2) breeding problems; (3)gastrointestinal problems; (4) multiple system problem; (5) birth problems; (6) metabolic/nutritional disease; (7) lameness. In young stock, the most costly disease were the multiple system problems, breeding problems, respiratory disease, gastrointestinal disease, and lameness. In calves, the most costly disease problems were gastrointestinal problems, respiratory disease, integumental, multiple system problems, and metabolic/nutritional problems.

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고랭지배추 바이러스병의 발생 및 피해요인 분석 (Occurrence of Virus Disease of Chinese Cabbage and Its Influence on Cabbage Production in Alpine Area)

  • 최준근;이재홍;이세원;함영일;안재훈;최장경
    • 한국식물병리학회지
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    • 제14권5호
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    • pp.433-439
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    • 1998
  • The studies on the ecology of virus disease on Chinese cabbage (Brassica campestris subsp. pekinensis) cultivated in alpine area of Kangwon province during summer season to analyse its influence on damage and develope a prediction model were performed from 1993 to 1997. Virus disease on Chinese cabbage occurring in the alpine area showed various symptom types and among there, necrotic spots and dwarf were mainly detected. The disease was increased from early August and continued mid September in every year. The occurrence of virus disease was the highest in 1994 with 20.5%, and the number of aphid vectors were also the highest during the same period. The number of aphids in the alpine areas showed twice peaks every year. For the analysis of damage by virus infection, the infection and injured ratio of all treatments were more than 90% and 80%, respectively. The most important factor for the occurrence of virus disease on Chinese cabbage was temperature. Factors influencing the development of the viral disease in the alpine area were maximum temperature and number of aphid vectors.

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Development of a Clinical Nursing Practice Training Simulation Program using Standardized Patient for Nursing Students Focused on Infectious Respiratory

  • Hur, Jung
    • International Journal of Advanced Culture Technology
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    • 제9권4호
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    • pp.169-179
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    • 2021
  • This study was conducted to develop and apply clinical nursing practice training simulation program using Standardized Patient for Nursing Students focused on infectious respiratory disease. This study is descriptive methodological study. Through prior consideration of documents and educational task of infectious respiratory disease was conducted with interview of clinical specialists of infection control managers. Development of educational task for infectious respiratory disease for Nursing Students went through the content validity. Finally, 10 educational tasks are developed 'knowledge of respiratory infections disease', 'hand washing', 'put on mask', 'lead to put on mask to patients and caregiver', 'intravenous injection via 3way', 'surgical aseptic technique', 'sterilization medical instrument', 'management of contaminated linen', 'infected personnel management manual'. The infectious respiratory disease simulation program was developed based on the ADDIE model and proceeded to 4 steps of analysis, design, development, implementation. The infection control education program included lectures (20 min), skill training (20 min), simulation using standardized patient (20 min), and debriefing (40 min), The collected data were analyzed by descriptive statistics with SPSS program for version 23.0. The results of this study confirmed that the clinical nursing practice training simulation program using standardized patients was effective in infectious respiratory disease of the nursing college students in knowledge of infectious respiratory disease and clinical nursing performance. we found this practical training program for nursing college students to improve knowledge and clinical competency of infection control. we expected that this developed program could be applied to practical training for various infectious control.

A Statistical Model for Severe Acute Respiratory Syndrome

  • Hong, Yeon-Woong
    • Journal of the Korean Data and Information Science Society
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    • 제14권3호
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    • pp.615-622
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    • 2003
  • The severe acute respiratory syndrome(SARS) is a novel infectious disease with global impact. The rapid worldwide spread of SARS has led to 30 countries reporting cases of July 13, 2003. In this paper, we develop a statistical model for SARS-caused-death data under some assumptions. The model developed is a continuous time Markov process with a constant intensity for each stage.

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Patient-specific pluripotent stem cell-based Parkinson's disease models showing endogenous alpha-synuclein aggregation

  • Oh, Yohan
    • BMB Reports
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    • 제52권6호
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    • pp.349-359
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    • 2019
  • After the first research declaring the generation of human induced pluripotent stem cells (hiPSCs) in 2007, several attempts have been made to model neurodegenerative disease in vitro during the past decade. Parkinson's disease (PD) is the second most common neurodegenerative disorder, which is mainly characterized by motor dysfunction. The formation of unique and filamentous inclusion bodies called Lewy bodies (LBs) is the hallmark of both PD and dementia with LBs. The key pathology in PD is generally considered to be the alpha-synuclein (${\alpha}$-syn) accumulation, although it is still controversial whether this protein aggregation is a cause or consequence of neurodegeneration. In the present work, the recently published researches which recapitulated the ${\alpha}$-syn aggregation phenomena in sporadic and familial PD hiPSC models were reviewed. Furthermore, the advantages and potentials of using patient-derived PD hiPSC with focus on ${\alpha}$-syn aggregation have been discussed.

Early Detection of Rice Leaf Blast Disease using Deep-Learning Techniques

  • Syed Rehan Shah;Syed Muhammad Waqas Shah;Hadia Bibi;Mirza Murad Baig
    • International Journal of Computer Science & Network Security
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    • 제24권4호
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    • pp.211-221
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    • 2024
  • Pakistan is a top producer and exporter of high-quality rice, but traditional methods are still being used for detecting rice diseases. This research project developed an automated rice blast disease diagnosis technique based on deep learning, image processing, and transfer learning with pre-trained models such as Inception V3, VGG16, VGG19, and ResNet50. The modified connection skipping ResNet 50 had the highest accuracy of 99.16%, while the other models achieved 98.16%, 98.47%, and 98.56%, respectively. In addition, CNN and an ensemble model K-nearest neighbor were explored for disease prediction, and the study demonstrated superior performance and disease prediction using recommended web-app approaches.

성별을 고려한 중풍 변증진단 판별모형개발(V) (Discriminant Model V for Syndrome Differentiation Diagnosis based on Sex in Stroke Patients)

  • 강병갑;이정섭;고미미;권세혁;방옥선
    • 동의생리병리학회지
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    • 제25권1호
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    • pp.138-143
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    • 2011
  • In spite of abundant clinical resources of stroke patients, the objective and logical data analyses or diagnostic systems were not established in oriental medicine. As a part of researches for standardization and objectification of differentiation of syndromes for stroke, in this present study, we tried to develop the statistical diagnostic tool discriminating the 4 subtypes of syndrome differentiation using the essential indices considering the sex. Discriminant analysis was carried out using clinical data collected from 1,448 stroke patients who was identically diagnosed for the syndrome differentiation subtypes diagnosed by two clinical experts with more than 3 year experiences. Empirical discriminant model(V) for different sex was constructed using 61 significant symptoms and sign indices selected by stepwise selection. We comparison. We make comparison a between discriminant model(V) and discriminant model(IV) using 33 significant symptoms and sign indices selected by stepwise selection. Development of statistical diagnostic tool discriminating 4 subtypes by sex : The discriminant model with the 24 significant indices in women and the 19 significant indices in men was developed for discriminating the 4 subtypes of syndrome differentiation including phlegm-dampness, qi-deficiency, yin-deficiency and fire-heat. Diagnostic accuracy and prediction rate of syndrome differentiation by sex : The overall diagnostic accuracy and prediction rate of 4 syndrome differentiation subtypes using 24 symptom and sign indices was 74.63%(403/540) and 68.46%(89/130) in women, 19 symptom and sign indices was 72.05%(446/619) and 70.44%(112/159) in men. These results are almost same as those of that the overall diagnostic accuracy(73.68%) and prediction rate(70.59%) are analyzed by the discriminant model(IV) using 33 symptom and sign indices selected by stepwise selection. Considering sex, the statistical discriminant model(V) with significant 24 symptom and sign indices in women and 19 symptom and sign indices in men, instead of 33 indices would be used in the field of oriental medicine contributing to the objectification of syndrome differentiation with parsimony rule.