이 연구에서는 Inception V3, SqueezeNet(local), VGG-16, Painters 및 DeepLoc의 다섯 가지 인공지능(AI) 모 델을 사용하여 차나무 잎의 병해를 분류하였다. 여덟 가지 이미지 카테고리를 사용하였는데, healthy, algal leaf spot, anthracnose, bird’s eye spot, brown blight, gray blight, red leaf spot, and white spot였다. 이 연구에서 사용한 소프트웨 어는 데이터 시각적 프로그래밍을 위한 파이썬 라이브러리로 작동하는 Orange3였다. 이는 데이터를 시각적으로 조작하여 분석하기 위한 워크플로를 생성하는 인터페이스를 통해 작동되었다. 각 AI 모델의 정확도로 최적의 AI 모 델을 선택하였다. 모든 모델은 Adam 최적화, ReLU 활성화 함수, 은닉 레이어에 100개의 뉴런, 신경망의 최대 반복 횟수가 200회, 그리고 0.0001 정규화를 사용하여 훈련되었다. Orange3 기능을 확장하기 위해 새로운 이미지 분석 Add-on을 설치하였다. 훈련 모델에서는 이미지 가져오기(import image), 이미지 임베딩(image embedding), 신경망 (neural network), 테스트 및 점수(test and score), 혼동 행렬(confusion matrix) 위젯이 사용되었으며, 예측에는 이미 지 가져오기(import image), 이미지 임베딩(image embedding), 예측(prediction) 및 이미지 뷰어(image viewer) 위젯 이 사용되었다. 다섯 AI 모델[Inception V3, SqueezeNet(로컬), VGG-16, Painters 및 DeepLoc]의 신경망 정밀도는 각 각 0.807, 0.901, 0.780, 0.800 및 0.771이었다. 결론적으로 SqueezeNet(local) 모델이 차나무 잎 이미지를 사용하여 차 병해 탐색을 위한 최적 AI 모델로 선택되었으며, 정확도와 혼동 행렬을 통해 뛰어난 성능을 보였다.

In the last several decades, cell therapy research has increased worldwide. Many studies have been conducted on cell therapy, and have revealed that transplanted cells did not survive for long, and implanted cells remained inactive causing immune rejection depending on the patient’s condition. Therefore, studies on cell-free therapy need to be conducted. To overcome these limitations, an alternative is the use of supernatant from cells, called “conditioned media (CM).” During in vitro cell culture, culture media supply nutrients to maintain cell characteristics and viability. In the culture, cells not only consume nutrients but also release beneficial proteins and substances, which are called “secretome.” CM from cells can be stored for a long time and is easy to handle. Moreover, secretome in CM can also be measured; exact amount of secretome is important to set the standard value for disease treatment. Here, we reviewed studies on CM and confirmed that various secretomes from CM were identified in these studies. Moreover, these findings could benefit cell and animal studies in future. In conclusion, CM could be a potential candidate for an alternative to cell therapy.

The human β-amyloid (Aβ) cleaving enzyme (BACE-1) is a target for Alzheimer’s disease (AD) treatments. This study was conducted to determine if acacetin extracted from the whole Agastache rugosa plants had anti-BACE-1 and behavioral activities in Drosophila AD models and to determine acacetin’s mechanism of action. Acacetin (100, 300, and 500 μM) rescued amyloid precursor protein (APP)/BACE1-expressing flies and kept them from developing both eye morphology (dark deposits, ommatidial collapse and fusion, and the absence of ommatidial bristles) and behavioral (motor abnormalities) defects. The RT-PCR and Western blot analysis revealed that the protective effect of acacetin on Aβ production is mediated by transcriptional regulation of BACE-1 and APP, resulting in decreased APP protein expression and BACE-1 activity, and reduced Aβ production by interfering with BACE-1 activity and APP synthesis, resulting in a decrease in the levels of the APP carboxy terminal fragments and the APP intracellular domain, and finally, resulting in a decrease in the number of amyloid plaques.

본 연구는 정량적 미생물 위해평가(Quantitative microbial risk assessment: QMRA)에 절대적으로 필요하지만 국내의 경우 관련 정보 및 자료가 부족한 주요 식중독 원인 미생물에 대한 용량-반응모델(dose-response models) 관련 자료를 수집·정리하여 가장 적합한 용량-반응 모델을 분석 및 선정하였다. 1980년부터 2012년까지 식중독 발생과 관련이 있는 26종의 세균, 9종의 바이러스, 8종의 원생동물 관련 용량-반응 모델 및 위해평가 자료들을 중심으로 국내 NDSL (National Digital Science Library), 국외 PubMed, ScienceDirect database에서 총 193개의 논문을 추출하여 정리하였다. 조사된 자료로부터 세균별, 바이러스별, 원생 동물별 용량-반응 모델의 미생물 위해평가 활용여부를 확인하고, 위해평가에 활용된 모델들을 메타분석(meta-analysis) 에서 사용되고 있는 Relative frequency (fi, 상대빈도 값) 를 계산하여 가장 적정한 용량-반응 모델을 제시하였다. 주요 식중독 원인 미생물들인 Campylobacter jejuni, pathogenic E. coli O157:H7 (EHEC / EPEC / ETEC), Listeria monocytogenes, Salmonella spp., Shigella spp., Staphylococcus aureus, Vibrio parahaemolyticus, Vibrio cholera, Rota virus, Cryptosporidium pavum의 적정 용량-반응 모델 은 beta-poisson (α = 0.15, β = 7.59, fi = 0.72), beta-poisson (α = 0.49, β = 1.81 × 105, fi = 0.67) / beta-poisson (α = 0.22, β = 8.70 × 103, fi = 0.40) / beta-poisson (α = 0.18, β = 8.60 × 107, fi = 0.60), exponential (r = 1.18 × 10−10, fi = 0.14), betapoisson (α = 0.11, β = 6,097, fi = 0.09), beta-poisson (α = 0.21, β = 1,120, fi = 0.15), exponential (r = 7.64 × 10−8, fi = 1.00), beta-poisson (α = 0.17, β = 1.18 × 105, fi = 1.00), betapoisson (α = 0.25, β = 16.2, fi = 0.57), exponential (r = 1.73 × 10−2, fi = 1.00), and exponential (r = 1.73 × 10−2, fi = 0.17) 로 각각 선정하였다. 본 연구에서 제시된 용량-반응 모델 들은 향후 국내 QMRA 관련 연구 및 진행에 많은 도움이 될 것으로 기대된다.

Alzheimer’s disease (AD) is the most common type of presenile and senile dementia. Human β-amyloid precursor cleavage enzyme (BACE-1) is a key enzyme responsible for amyloid plaque production. We assessed anti-BACE-1 and behavioral activities of curcuminoids from Curcuma longa, curcumin (CCN), demethoxycurcumin (DMCCN), and bisdemethoxycurcumin (BDMCCN) against AD fly models. Neuro-protective ability of curcuminoids was assessed using fly model system overexpressing BACE-1 and its substrate APP in compound eyes and entire neurons. BDMCCN has the strongest inhibitory activity toward BACE-1 with 17 μM IC50, which was 20 and 13 times lower than those of CCN and DMCCN respectively. Expression of APP/BACE-1 resulted in the progressive and measurable defects in morphology of eyes and locomotion. Supplementing diet with either 1 mM BDMCCN or CCN rescued APP/BACE1 expressing flies and kept them from developing both morphological and behavioral defects. Structural characteristics and hydrophobicity appear to play a role in determining inhibitory potency of curcuminoids on BACE-1.

This study is intended to examine the tDCS and Morris Water maze training in Alzheimer’s disease(AD) rats on Tau protein expression. Experiment groups were divided into four groups and assigned 16 rats to each group. Group Ⅰ was a control group(AD induced by scopolamine); Group Ⅱ was a experimental control group(AD injured by scopolamine and treatment tacrine); Group Ⅲ was a group of tDCS application after AD injured by scopolamine; Group Ⅳ was a group of morris water maze training after AD injured by scopolamine. In cognition test, the outcome of group Ⅱ was significantly lower than the groups(p<.001). and group Ⅲ, Ⅳ were significantly low result at 14 days(p<.05). In histological finding, the experimental groups were destroy of micro vessels and finding of cell atropy and swelling. Group Ⅲ, Ⅳ were decreased in degeneration of liver and kidney cells. In immuno- histochemistric response of BDNF and tau protein in hippocampus, BDNF expression of Group Ⅱ was more increase than the other groups. and increase of BDNF expression was Ⅲ, Ⅳ were higher than group Ⅰ at 21 days. Tau protein expression of Group Ⅱ was more decrease than the other groups. and decrease of Tau protein expression was Ⅲ, Ⅳ were lower than group Ⅰ at 21 days. These result suggest that improved tDCS and morris water maze training after scopolamine induced is associated with dynamically altered expression of BDNF and Tau protein in hippocampus and that is related with cognitive function.

Over the past decade, the magnitude and variety of modelling work in the realm of veterinary services has shown a significant increase. Accordingly, the need for enhancement of communication and cooperation among modellers (those who develop models), users (those who run models), policy makers (those who use model outputs in decision making on control policy) and coordinators (those who connect modellers with policy makers) has also shown a notable increase. In this paper, terms used in epidemiological models are listed alphabetically and explained. It is expected that development of this lexicon will help to boost communication and collaboration among those concerned with modelling work and its utilization.

Epidemic models on disease spread attempt to simulate disease transmission and associated control processes. This study reviewed published papers on epidemiological models for the management of foot-and-mouth disease in the world. In addition, an individual animal-based, spatially-explicit, stochastic disease transmission model, the Davis Animal Disease Simulation (DADS) model, was described in the frame of an international collaborative research project participating three countries: Republic of Korea, USA, and New Zealand. In this project, the Korean team is aiming at developing the most appropriate parameters for livestock and epidemiology of foot-and-mouth disease outbreaks. On the other hand, the purpose of foreign counterparts is validating their models: DADS (USA) and InterSpread Plus (New Zealand). Classification of farm types and preliminary estimations on the frequency of intra-herd contacts were also presented. This research project is expected to provide precious information to plan a strategy that will facilitate the eradication of foot-and-mouth disease from Korea.