본 연구는 대한민국에 거주중인 새터민 391명을 대상으로 2022년 3월부터 2023년 7월까지로 1년 4개월간 북한에서 거 주할 당시 이용한 식물 이름과 형태, 이용방법에 대해 질의응답 하였다. 면담자들의 평균 연령은 58.76세로 50대가 주로 참여 했다. 면담조사를 통해 동정한 분류군은 48목 102과 310속 472종으로 확인되었다. 그 중 자생식물이 71.40%를 차지했으 며, 재배식물은 25.21%, 외래식물은 3.39%로 확인되었다. 이 용현황에 대한 양적분석을 수행한 결과, 미나리가 상대적인용빈 도(RFC=0.928)에서 가장 높은 값을 보였다. 이용 범주 별 인용 빈도를 분석한 결과, 21개의 범주가 확인되었으며, 가장 많이 활용된 범주는 식용이었다(23,656회 인용, 전체 60.48%). 면담 조사를 통해 확인된 분류군 수는 472종으로 확인하였는데, 또 한 민속식물 동정 시 면담자들의 기억에 의존하여 사진자료를 통해 동정했다는 점에서 한계점이 있으나 본 연구에서 구축한 민속식물 전통지식 DB를 활용한 추가적인 분석을 통해 북한지 역의 사회적･문화적･경제적 통찰이 가능한 다학제간 연구로 확 대할 수 있을 것이라 기대한다.

The Japanese encephalitis virus (JEV) is a zoonotic pathogen that affects the nervous systems of humans, pigs, and horses. It has been classified into five genotypes (G1-G5) based on molecular analysis of the pre-membrane or envelope gene. In the Republic of Korea, the predominant JEV genotype has recently shifted from G3 to G1 and G5, highlighting the need for a rapid and accurate diagnostic method. In this study, we designed specific common and differential primer sets for JEV G1, G3, and G5 to detect the JEV gene. Four specific primer sets for JEV G1, G3, and G5 were used to selectively amplify the target gene. The detection limits of the common primer set for JEV G1, G3, and G5 were 100, 0.1, and 10 TCID50/reaction, respectively. The detection limits of the three differential primer sets were 1, 0.1, and 1 TCID50/reaction, respectively. No cross-reactivity was observed with non-JEV reference viruses. We successfully developed a multiplex reverse transcription polymerase chain reaction (RT-PCR) assay to distinguish the three JEV genotypes. Our multiplex RT-PCR assay is highly sensitive and specific, providing a reliable tool for confirming JEV infection in suspected samples. Additionally, our assay can be applied to suspected mosquito samples and commercial veterinary biological products.

Background: Porcine embryonic development is widely utilized in the medical industry. However, the blastocyst development rate in vitro is lower compared to in vivo . To address this issue, various supplements are employed. Extracellular vesicles (EVs) play the role of communicators that carry many bioactive cargoes. Additionally, the contents of EVs can vary on the estrous cycle. Methods: We compared the effects of adding EVs derived from porcine uterine fluid (UF), categorized as non-EV (G1), EVs in estrus (G2) and EVs in diestrus (G3). After in vitro culture (IVC) was performed in three different groups, cleavage rate and blastocyst development rate were examined. In addition, glutathione (GSH) and reactive oxygen species (ROS) levels were measured 2 days after activation to assess oxidative stress. Results: Using NTA and cryo-TEM, we confirmed the presence of EVs with sizes ranging from 30 nm to 200 nm, that the particles were suitable for analysis for analysis. In IVC data, the highest cleavage rate was observed in G2, which was significantly different from G1 but not significantly different from the next highest, G3. Similarly, the highest blastocyst development rate was observed in G2, which was significantly different from G1 but not significantly different from the next highest, G3. Conclusions: These results indicate that estrus derived EVs contain biofactors beneficial for early blastocyst development, including GSH which protects the blastocyst from oxidative stress. Additionally, although diestrus-derived EVs are expected to have some effect on blastocyst development, it appeared to be less effective than estrus-derived EVs.

This study aimed to develop the in vitro method using domestic commercial diets to estimate nutrient digestibility in dogs. The existing in vitro method were tested and compared with literature data to develop new in vitro method. The development of in vitro method progressed as follows: modification of pepsin solution to an activated form and supplementation with 1% lipase. All the in vitro method progressed to 4 hours of stomach simulation and 2 hours of small intestine simulation. In vivo digestibility was measured using the same diets as beagle dogs. The supplementation of lipase methods showed significantly improved (p < 0.05) DM, OM, and EE than the existing and modified pepsin solution methods. The correlation between in vitro and in vivo data in DM, OM, and EE digestibility was high (r2 = 0.889, 0.907, and 0.721, respectively), and the correlation between in vitro and in vivo data in CP and GE digestibility was medium (r2 = 0.681 and 0.536, respectively). The current in vitro method is similar to in vivo digestibility and helps potentially predict digestibility for dogs. In conclusion, this developed in vitro method suggests that it can help estimate the nutrient digestibility of dogs' diets without in vivo experiments.

Herbivorous insects can be exposed to soil contaminants via trophic transfer. To assess the effect of accumulated arsenate (As(V)) in host plants on aphids across generations, Myzus persicae were reared for several generations on pepper (Capsicum annuum) grown in soil treated with 0, 2, 4, and 6 mg of As(V) per kg. In the first generation, the body length of M. persicae significantly (p < 0.05) increased on As(V)-treated plants (μ = 1.29 mm) compared to untreated plants (μ = 1.21 mm). Aphids showed higher fecundity on plants treated with 2mg/kg of As(V) (15.3) compared to untreated ones (10.6), but it decreased again under the 4mg/kg (11.4) and 6mg/kg (11.2) treatments. When newborns were transferred to untreated plants after being reared on each treatment for two previous generations, they exhibited higher fecundity as their parents were treated with higher levels of As(V). While more research is needed to understand the unexpected beneficial effects, this study highlights the complex impacts of soil As(V) on aphid dynamics which span multiple generations.

This study examined the relationship between Body mass index (BMI) classification and the occurrence of dyslipidemia using 3 years of health examination data from a university hospital in Changwon, and seeked to find other factors that affect dyslipidemia. Multivariate logistic regression analysis investigated the most common risk factors for developing dyslipidemia and used Kaplan-Meier survival curves to predict the probability of developing dyslipidemia according to BMI class. We then analyzed the effects of metabolic indicators such as smoking habits, alcohol consumption, blood pressure, glucose, hemoglobin A1c (HbA1c), and insulin. The Type I error rate was controlled through Bonferroni correction for multiple comparisons to extract reliable statistical data. in the present study, these results showed that the probability of developing dyslipidemia was high in the obese group, and confirmed that lifestyle habits such as smoking and drinking were highly correlated with the occurrence of dyslipidemia. Therefore, we suggest that dyslipidemia management and prevention strategies require public health policies that comprehensively manage lifestyle factors such as gender and weight management, smoking cessation, and drinking habits.