• Title/Summary/Keyword: Disease models

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Application of Three-Dimensional Printed Models in Congenital Heart Surgery: Surgeon's Perspective (선천성 심기형의 수술에 있어서 삼차원 프린팅 모델의 적용: 심장외과의사의 관점)

  • Hyungtae Kim;Ki Seok Choo;Si Chan Sung;Kwang Ho Choi;Hyoung Doo Lee;Hoon Ko;Joung-Hee Byun;Byung Hee Cho
    • Journal of the Korean Society of Radiology
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    • v.81 no.2
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    • pp.310-323
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    • 2020
  • To treat congenital heart disease, it is important to understand the anatomical structure correctly. Three-dimensional (3D) printed models of the heart effectively demonstrate the structural features of congenital heart disease. Occasionally, the exact characteristics of complex cardiac malformations are difficult to identify on conventional computed tomography, magnetic resonance imaging, and echocardiography, and the use of 3D printed models can help overcome their limitations. Recently, 3D printed models have been used for congenital heart disease education, preoperative simulation, and decision-making processes. In addition, we will pave the way for the development of this technology in the future and discuss various aspects of its use, such as the development of surgical techniques and training of cardiac surgeons.

Management of Citrus Canker in Argentina, a Success Story

  • Canteros, B.I.;Gochez, A.M.;Moschini, R.C.
    • The Plant Pathology Journal
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    • v.33 no.5
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    • pp.441-449
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    • 2017
  • Citrus canker is an important bacterial disease of citrus in several regions of the world. Strains of Xanthomonas citri type-A (Xc-A) group are the primary pathogen where citrus canker occurs. After Xc-A entered the Northeast of Argentina in 1974, the disease spread rapidly from 1977 to 1980 and then slowed down and remained moving at slow pace until 1990 when it became endemic. Citrus canker was detected in Northwest Argentina in 2002. This paper presents the main steps in the fight of the disease and the management strategies that have been used to control citrus canker at this time. We think the process might be usefull to other countries with the same situation. Results from more than 40 years of research in Northeast (NE) Argentina indicate that we are at the limit of favorable environment for the disease. The severity of citrus canker is greatly affected by the environment and El $Ni{\tilde{n}}o$ Southern Oscillation (ENSO) phenomenon which causes cyclic fluctuations on the disease intensity in the NE region. Weather-based logistic regression models adjusted to quantify disease levels in field conditions showed that the environmental effect was strongly modulated by the distance from a windbreak. Production of healthy fruits in citrus canker endemic areas is possible knowing the dynamics of the disease. A voluntary Integrated Plan to Reduce the Risk of Canker has been in place since 1994 and it allows growers to export unsymptomatic, uninfested fresh fruit to countries which are free of the disease and require healthy, pathogen free fruits. The experience from Argentina can be replicated in other countries after appropriate trials.

Effect of Temperature and Leaf Wetness Period on the Components of Resistance to Late Leaf Spot Disease in Groundnut

  • Pande, Suresh;Rajesh, T.Ratna;Kishore, G.Krishna
    • The Plant Pathology Journal
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    • v.20 no.1
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    • pp.67-74
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    • 2004
  • A complete understanding of the epidemiological factors required for optimum for disease development facilitates the design of effective and reliable screening techniques and also disease prediction models. An attempt was made to study the effects of different temperatures ($15-35^{\circ}C$) and leaf wetness periods (4-24 h) on the development of late leaf spot (LLS) in three groundnut genotypes differing in their susceptibility to LLS infection. Irrespective of the genotype, the disease progress evaluated based on different components of resistance was maximum between $15-20^{\circ}C$ and minimum between $20-25^{\circ}C$. At temperatures $\geq$$30^{\circ}C$, LLS development was insignificant. The overall severity of LLS increased with an increase in the leaf wetness period from 4 h to 12 h a day. Further increase of wetness period to 16 h resulted in a rapid increase in the severity. Thereafter, the disease severity gradually decreased with an increase in the wetness period. The effect of temperature and wetness periods on the individual component of disease quantification was not uniform compared between genotypes with different levels of susceptibility/resistance to LLS infection. The results of this study indicate that temperature and leaf wetness period are critical in late leaf spot screening programs since the expression of disease symptoms measured from disease initiation till defoliation, varied differently in the test genotypes with respect to change in these two parameters.

Association Analysis of Charcoal Rot Disease Resistance in Soybean

  • Ghorbanipour, Ali;Rabiei, Babak;Rahmanpour, Siamak;Khodaparast, Seyed Akbar
    • The Plant Pathology Journal
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    • v.35 no.3
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    • pp.189-199
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    • 2019
  • In this research, the relationships among the 31 microsatellite markers with charcoal rot disease resistance related indices in 130 different soybean cultivars and lines were evaluated using association analysis based on the general linear model (GLM) and the mixed linear model (MLM) by the Structure and Tassel software. The results of microsatellite markers showed that the genetic structure of the studied population has three subpopulations (K=3) which the results of bar plat also confirmed it. In association analysis based on GLM and MLM models, 31 and 35 loci showed significant relationships with the evaluated traits, respectively, and confirmed considerable variation of the studied traits. The identified markers related to some of the studied traits were the same which can probably be due to pleiotropic effects or tight linkage among the genomic regions controlling these traits. Some of these relationships were including, the relationship between Sat_252 marker with amount of charcoal rot disease, Satt359, Satt190 and Sat_169 markers with number of microsclerota in stem, amount of charcoal rot disease and severity of charcoal rot disease, Sat_416 marker with number of microsclerota in stem and amount of charcoal rot disease and the Satt460 marker with number of microsclerota in stem and severity of charcoal rot disease. The results of this research and the linked microsatellite markers with the charcoal rot disease-related characteristics can be used to identify the suitable parents and to improve the soybean population in future breeding programs.

A Systematic Review of Toxicological Studies to Identify the Association between Environmental Diseases and Environmental Factors (환경성질환과 환경유해인자의 연관성을 규명하기 위한 독성 연구 고찰)

  • Ka, Yujin;Ji, Kyunghee
    • Journal of Environmental Health Sciences
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    • v.47 no.6
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    • pp.505-512
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    • 2021
  • Background: The occurrence of environmental disease is known to be associated with chronic exposure to toxic chemicals, including waterborne contaminants, air/indoor pollutants, asbestos, ingredients in humidifier disinfectants, etc. Objectives: In this study, we reviewed toxicological studies related to environmental disease as defined by the Environmental Health Act in Korea and toxic chemicals. We also suggested a direction for future toxicological research necessary for the prevention and management of environmental disease. Methods: Trends in previous studies related to environmental disease were investigated through PubMed and Web of Science. A detailed review was provided on toxicological studies related to the humidifier disinfectants. We identified adverse outcome pathways (AOPs) that can be linked to the induction of environmental diseases, and proposed a chemical screening system that uses AOP, chemical toxicity big data, and deep learning models to select chemicals that induce environmental disease. Results: Research on chemical toxicity is increasing every year, but there is a limitation to revealing a clear causal relationship between exposure to chemicals and the occurrence of environmental disease. It is necessary to develop various exposure- and effect-biomarkers related to disease occurrence and to conduct toxicokinetic studies. A novel chemical screening system that uses AOP and chemical toxicity big data could be useful for selecting chemicals that cause environmental diseases. Conclusions: From a toxicological point of view, developing AOP related to environmental diseases and a deep learning-based chemical screening system will contribute to the prevention of environmental diseases in advance.

Association of milk and dairy product consumption with the incidence of cardio-cerebrovascular disease incidence in middle-aged and older Korean adults: a 16-year follow-up of the Korean Genome and Epidemiology Study

  • Yeseung Jeong;Kyung Won Lee;Hyekyeong Kim;Yuri Kim
    • Nutrition Research and Practice
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    • v.17 no.6
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    • pp.1225-1237
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    • 2023
  • BACKGROUND/OBJECTIVES: Unhealthy dietary behaviors constitute one of risk the factors for chronic and cardiovascular diseases, which are prevalent in middle-aged and older populations. Milk and dairy products are high-quality foods and important sources of calcium. Calcium protects against osteoporosis and cardiovascular disease. Therefore, this study investigated the association of milk and dairy product consumption with cardio-cerebrovascular disease incidence in middle-aged and older Korean adults. SUBJECTS/METHODS: Data were derived from the Ansan-Anseong cohort study, and a total of 8,009 individuals aged 40-69 years were selected and followed up biennially. Cox proportional hazard models were used to examine the association of milk and dairy product consumption with cardio-cerebrovascular disease incidence. RESULTS: During a mean follow-up period of 96.5 person-months, 552 new cases of cardio-cerebrovascular disease were documented. Milk consumers (< 1 serving/day) exhibited a 23% lower risk of cardio-cerebrovascular disease incidence than non-milk consumers (hazard ratio [HR], 0.77; 95% confidence interval [CI], 0.61-0.97; P for trend = 0.842). High yogurt consumption was associated with a 29% lower incidence risk (≥ 0.5 servings/day vs. none: HR, 0.71; 95% CI, 0.53-0.96; P for trend = 0.049), whereas high ice cream consumption was associated with a 70% higher risk of cardio-cerebrovascular disease incidence (≥ 0.5 servings/day vs. none: HR, 1.70; 95% CI, 1.01-2.88; P for trend = 0.070). CONCLUSIONS: This study indicates that less than one serving of milk and high yogurt consumption are associated with a lower cardio-cerebrovascular disease risk in the middle-aged and older populations.

Trends in the development of human stem cell-based non-animal drug testing models

  • Lee, Su-Jin;Lee, Hyang-Ae
    • The Korean Journal of Physiology and Pharmacology
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    • v.24 no.6
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    • pp.441-452
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    • 2020
  • In vivo animal models are limited in their ability to mimic the extremely complex systems of the human body, and there is increasing disquiet about the ethics of animal research. Many authorities in different geographical areas are considering implementing a ban on animal testing, including testing for cosmetics and pharmaceuticals. Therefore, there is a need for research into systems that can replicate the responses of laboratory animals and simulate environments similar to the human body in a laboratory. An in vitro two-dimensional cell culture model is widely used, because such a system is relatively inexpensive, easy to implement, and can gather considerable amounts of reference data. However, these models lack a real physiological extracellular environment. Recent advances in stem cell biology, tissue engineering, and microfabrication techniques have facilitated the development of various 3D cell culture models. These include multicellular spheroids, organoids, and organs-on-chips, each of which has its own advantages and limitations. Organoids are organ-specific cell clusters created by aggregating cells derived from pluripotent, adult, and cancer stem cells. Patient-derived organoids can be used as models of human disease in a culture dish. Biomimetic organ chips are models that replicate the physiological and mechanical functions of human organs. Many organoids and organ-on-a-chips have been developed for drug screening and testing, so competition for patents between countries is also intensifying. We analyzed the scientific and technological trends underlying these cutting-edge models, which are developed for use as non-animal models for testing safety and efficacy at the nonclinical stages of drug development.

Expression of Expanded Polyglutamine Disease Proteins in Drosophila (Drosophila Polyglutamine Disease Models) (증가된 글루타민에 의해 초래되는 뇌신경질환의 초파리 모델에 대한 연구)

  • Shin, Sang Min;Paik, Kyung Hoon;Jin, Dong Kyu
    • Clinical and Experimental Pediatrics
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    • v.48 no.4
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    • pp.425-432
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    • 2005
  • Purpose : Polyglutamine diseases are a group of diseases caused by the expansion of a polyglutamine tract in the protein. The present study was performed to verify if polyglutamine disease transgenic Drosophila models show similar dysfunctions as are seen in human patients. Methods : Polyglutamine disease transgenic Drosophila were tested for their climbing ability. And using genetic methods, the effects of anti-apoptotic gene bcl-2 and chemical chaperones on neurodegeneration were observed. Also, spinocerebellar ataxia 2 (SCA2) transgenic Drosophila lines were generated for future studies. Results : Expanded forms of spinocerebellar ataxia 3 (SCA3) transgenic protein causes characteristic locomotor dysfunction when expressed in the nervous system of Drosophila but the anti-apoptotic gene bcl-2 shows no evidence of ameliorating the deleterious effect of the expanded protein. However, Glycerol, a chemical chaperone, seemed to reduce the toxicity, at least in the eyes of the transgenic flies. The level SCA2 expression is too weak in the transgenic SCA2 Drosophila for evaluation. Conclusion : SCA3 transgenic Drosophila show ataxic behavior as observed in human patients. Chemical chaperones such as glycerol may prove beneficial in this class of genetic disease, which has no current method of cure.

Metabolic Diseases Classification Models according to Food Consumption using Machine Learning (머신러닝을 활용한 식품소비에 따른 대사성 질환 분류 모델)

  • Hong, Jun Ho;Lee, Kyung Hee;Lee, Hye Rim;Cheong, Hwan Suk;Cho, Wan-Sup
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.354-360
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    • 2022
  • Metabolic disease is a disease with a prevalence of 26% in Korean, and has three of the five states of abdominal obesity, hypertension, hunger glycemic disorder, high neutral fat, and low HDL cholesterol at the same time. This paper links the consumer panel data of the Rural Development Agency(RDA) and the medical care data of the National Health Insurance Service(NHIS) to generate a classification model that can be divided into a metabolic disease group and a control group through food consumption characteristics, and attempts to compare the differences. Many existing domestic and foreign studies related to metabolic diseases and food consumption characteristics are disease correlation studies of specific food groups and specific ingredients, and this paper is logistic considering all food groups included in the general diet. We created a classification model using regression, a decision tree-based classification model, and a classification model using XGBoost. Of the three models, the high-precision model is the XGBoost classification model, but the accuracy was not high at less than 0.7. As a future study, it is necessary to extend the observation period for food consumption in the patient group to more than 5 years and to study the metabolic disease classification model after converting the food consumed into nutritional characteristics.

A Study on Dose-Response Models for Foodborne Disease Pathogens (주요 식중독 원인 미생물들에 대한 용량-반응 모델 연구)

  • Park, Myoung Su;Cho, June Ill;Lee, Soon Ho;Bahk, Gyung Jin
    • Journal of Food Hygiene and Safety
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    • v.29 no.4
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    • pp.299-304
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    • 2014
  • The dose-response models are important for the quantitative microbiological risk assessment (QMRA) because they would enable prediction of infection risk to humans from foodborne pathogens. In this study, we performed a comprehensive literature review and meta-analysis to better quantify this association. The meta-analysis applied a final selection of 193 published papers for total 43 species foodborne disease pathogens (bacteria 26, virus 9, and parasite 8 species) which were identified and classified based on the dose-response models related to QMRA studies from PubMed, ScienceDirect database and internet websites during 1980-2012. The main search keywords used the combination "food", "foodborne disease pathogen", "dose-response model", and "quantitative microbiological risk assessment". The appropriate dose-response models for Campylobacter jejuni, pathogenic E. coli O157:H7 (EHEC / EPEC / ETEC), Listeria monocytogenes, Salmonella spp., Shigella spp., Staphylococcus aureus, Vibrio parahaemolyticus, Vibrio cholera, Rota virus, and Cryptosporidium pavum were beta-poisson (${\alpha}=0.15$, ${\beta}=7.59$, fi = 0.72), beta-poisson (${\alpha}=0.49$, ${\beta}=1.81{\times}10^5$, fi = 0.67) / beta-poisson (${\alpha}=0.22$, ${\beta}=8.70{\times}10^3$, fi = 0.40) / beta-poisson (${\alpha}=0.18$, ${\beta}=8.60{\times}10^7$, fi = 0.60), exponential (r=$1.18{\times}10^{-10}$, fi = 0.14), beta-poisson (${\alpha}=0.11$, ${\beta}=6,097$, fi = 0.09), beta-poisson (${\alpha}=0.21$, ${\beta}=1,120$, fi = 0.15), exponential ($r=7.64{\times}10^{-8}$, fi = 1.00), betapoisson (${\alpha}=0.17$, ${\beta}=1.18{\times}10^5$, fi = 1.00), beta-poisson (${\alpha}=0.25$, ${\beta}=16.2$, fi = 0.57), exponential ($r=1.73{\times}10{-2}$, fi = 1.00), and exponential ($r=1.73{\times}10^{-2}$, fi = 0.17), respectively. Therefore, these results provide the preliminary data necessary for the development of foodborne pathogens QMRA.