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Rat Growth-Hormone Release Stimulators from Fenugreek Seeds
Shim, Sang Hee,Lee, Eun Ju,Kim, Ju Sun,Kang, Sam Sik,Ha, Hyekyung,Lee, Ho Young,Kim, Chungsook,Lee, Je-Hyun,Son, Kun Ho WILEY-VCH Verlag 2008 CHEMISTRY AND BIODIVERSITY Vol.5 No.9
<P>Bioassay-guided fractionation of MeOH extract from fenugreek (Trigonella foenum-graecum L.) seeds resulted in the isolation of two rat growth-hormone release stimulators in vitro, fenugreek saponin I (1) and dioscin (9), along with two new, i.e., 2 and 3, and five known analogues, i.e., 4–8. The structures of the new steroidal saponins, fenugreek saponins I, II, and III (1–3, resp.), were determined as gitogenin 3-O-β-D-xylopyranosyl-(1→6)-β-D-glucopyranoside, sarsasapogenin 3-O-β-D-xylopyranosyl-(1→6)-β-D-glucopyranoside, and gitogenin 3-O-α-L-rhamnopyranosyl-(1→2)-β-D-glucopyranoside, respectively. Fenugreek saponin I (1) and dioscin (9) caused ca. 12.5- and 17.7-fold stimulation of release, respectively, of rat growth hormone from rat pituitary cells, whereas gitogenin (5) showed moderate activity. To our knowledge, this is the first study to demonstrate that steroidal saponins stimulate rat growth-hormone release in rat pituitary cells.</P>
서혜경 ( Hyekyung Seo ),권영일 ( Young-il Kwon ),이성연 ( Seong Yeoun Lee ),강병갑 ( Byoung-kab Kang ),명준표 ( Jun-pyo Myong ),장호영 ( Hoyeong Jang ),김희주 ( Huiju Kim ),심수아 ( Sua Shim ),박성욱 ( Sungwook Park ) 한국산업보건학회 2021 한국산업보건학회지 Vol.31 No.4
Objectives: This study aims to investigate differences in microbial contamination according to the duration and environment of mask wearing. Methods: Forty-five participants were recruited from workers in an offices, multi-purpose facilities, and a schools. After wearing of KF94 mask for two. four, and six hours, the microorganisms adsorbed on the outer and inner layers of the mask were inoculated on BAP(Blood Agar Plate), Chocolate agar, and SDA plates. The bacterial count (CFUs: colony-forming units) cultured in each plate was measured and analyzed for changes in filtration efficiency. Results: The microbial contamination of masks worn in classrooms, offices, and multi-purpose facilities showed a significant difference depending on the environment (p<0.000). The measured CFUs increased significantly according to the time wearing the mask. The difference between the inner and outer layers of the mask was also significant (p<0.05). However, there was no statistical difference in the filtration efficiency of the masks by duration time (p=0.515). Conclusions: Masks worn by workers in the offices, multi-purpose facilities, and schools showed an increase of microbial contamination with the amount of time wearing the mask. The results indicate that the masks used in daily life may have adverse health effects if they are worn for a long time or reused over several days without the realizing that the masks can be contaminated with biological hazards. Guidelines on the safe threshold time for mask use should be established through further research.
Identification of Keywords From Twitter and Web Blog Posts to Detect Influenza Epidemics in Korea
Woo, Hyekyung,Sung Cho, Hyeon,Shim, Eunyoung,Lee, Jong Koo,Lee, Kihwang,Song, Gilyoung,Cho, Youngtae Cambridge University Press 2018 Disaster medicine and public health preparedness Vol.12 No.3
<B>Abstract</B><B>Objective</B><P>Social media data are a highly contextual health information source. The objective of this study was to identify Korean keywords for detecting influenza epidemics from social media data.</P><B>Methods</B><P>We included data from Twitter and online blog posts to obtain a sufficient number of candidate indicators and to represent a larger proportion of the Korean population. We performed the following steps: initial keyword selection; generation of a keyword time series using a preprocessing approach; optimal feature selection; model building and validation using least absolute shrinkage and selection operator, support vector machine (SVM), and random forest regression (RFR).</P><B>Results</B><P>A total of 15 keywords optimally detected the influenza epidemic, evenly distributed across Twitter and blog data sources. Model estimates generated using our SVM model were highly correlated with recent influenza incidence data.</P><B>Conclusions</B><P>The basic principles underpinning our approach could be applied to other countries, languages, infectious diseases, and social media sources. Social media monitoring using our approach may support and extend the capacity of traditional surveillance systems for detecting emerging influenza. (<I>Disaster Med Public Health Preparedness</I>. 2018; 12: 352-359)</P>
Comparisons of Fit Factors Between Two Quantitative Fit Testers (PortaCount vs. MT)
한돈희,Seo Hyekyung,Kang Byoung-kab,Jang Hoyeong,Kim HuiJu,Shim SuA 한국산업안전보건공단 산업안전보건연구원 2022 Safety and health at work Vol.13 No.4
This study evaluated the consistency between two quantitative fit test devices with different methods of ambient aerosol counting. Three types of respirators (N95, half mask, and full facepiece) were worn by 50 participants (male, n = 25; female, n = 25), PortaCount (Pro+ 8038) and MT (05U) were connected to one probe to one mask, and fit factors (FFs) were measured simultaneously with the original and modified protocols. As a result of comparing MT FFs with PortaCount FFs as references and by applying for the pass/fail criteria (FF = 100), the consistency between the two devices for half masks and full facepieces was very high. N95 was somewhat weaker than the two type of respirators in the consistency; however, the correlation between the two devices was very strong (p < 0.0001). The results showed that an FF of 100 as measured by PortaCount was likely to be measured as 75 by the MT. Therefore, when performing the fit test for N95 using the MT and pass level of FF 100, a certain level of adjustment is necessary, whether end-user or putting a scaling factor by manufacturer.
심은영(Eunyoung Shim),임정훈(Jeong-Hun Lim),탁지연(Ji Yun Tark),우혜경(Hyekyung Woo),김남훈(Namhoon Kim),정남수(Namsoo Jung),조영태(Youngtae Cho) 한국인구학회 2015 한국인구학 Vol.38 No.1
국가 운영의 기본 자료로 쓰이는 센서스는 최근 개인정보보호에 대한 관심 고조, 방문조사의 불편함, 조사 예산 증가 등의 이유 등으로 조사에 어려움을 겪고 있다. 이에 우리나라를 비롯한 많은 나라들이 기존의 조사 센서스를 등록 센서스로 대체하고 있는 추세이다. 우리나라는 최근 젊은 인구가 부모로부터 독립하여 사는 경우가 많고, 그 경우 주민등록주소와 실제 거주 주소가 상이할 수 있기 때문에 실제 거주지 파악에 어려움을 겪을 수 있다. 본 연구는 스마트폰의 위치센서 정보를 이용하여 사용자들의 실제 거주지를 파악할 수 있는 방법을 제시하고, 이를 경험적인 자료를 토대로 검증하고자 하였다. 이를 위해 스마트폰 사용자의 일주일간 위치 정보를 이용하여 가장 밀도가 높은 중심점을 구하고 이를 사용자의 실제 거주지와 비교하였다. 그 결과, 주소확인이 가능한 참여자의 93.7%가 밀도함수 90%내에 포함되어 있는 것을 확인할 수 있었다. 비록 탐색적인 수준이지만 스마트폰만을 활용하여 센서스에서 가장 중요한 요소라 할 수 있는 사용자의 거주지를 파악할 수 있는 방법을 제시했다는 점에서 본 연구의 인구학적 및 정책적인 의의를 찾을 수 있다. The growth of smartphone penetration rate in South Korea is outstanding. We pay attention to three facts associated with smartphone: (1) most people have smartphones, (2) most users carry and use smartphones in every second, and (3) all smartphones are equipped with geographic sensors that imply an important demographic meaning. The current study aims (1) to examine if one’s usual locations (residence) can be detected by the GPS or WPS data monitored by and compiled through one’s own smartphone, and (2) to evaluate the results to see how accurately and effectively smartphone can function as a census taker. We collected geographic sensor monitored data (GPS and WPS) from 287 Seoul residents aged 20 to 49 who use smartphones daily. The current study showed a possibility that geographic raw data monitored by smartphones sensors can be converted into a value-added piece of information that can detect the location of user’s home. We believe that the current exploratory study on ‘Smart Census’ can suggest at least one direction where census-related environment would move with wide spread use of smartphone and its technological innovation.
Jaemyung Yang,Hyekyung Shim,Yeonju Min,Sungyoul Hong,Moosik Kwon,Daehyun Kim,Hyunran Kim,Yongmoon Choi,Sukchan Lee 한국분자세포생물학회 2004 Molecules and cells Vol.18 No.2
Pear black necrotic leaf spot (PBNLS) is a disease of pears caused by capillovirus-like particles, which can be observed under the electron microscope. The disease was analyzed by Western blot analysis with antisera raised against apple stem grooving virus (ASGV) coat protein. cDNAs covering the entire genome were synthesized by RT-PCR and RACE using RNA isolated from Chenopodium quinoa infected with sap extracted from pear leaves carrying black necrotic spot disease. The complete genome sequence of the putative pear virus, 6497 nucleotides in length excluding the poly (A) tail, was determined and analyzed. It contains two overlapping open reading frames (ORFs). ORF1, spans from nucleotide position 37 to 6354, producing a putative protein of 241 kDa. ORF2, which is in a different reading frame within ORF1, begins at nucleotide 4788 and terminates at 5750, and produces a putative protein of 36 kDa. The 241 kDa protein contains sequences related to the NTP-binding motifs of helicases and RNA-dependent RNA polymerases. The 36-kDa protein contains the consensus sequence GDSG found in the active sites of several cellular and viral serine proteases. Morphological and serological analysis, and sequence comparison between the putative pear virus, ASGV, citrus tatter leaf virus and cherry virus A of the capillovirus suggest that PBNLS may be caused by a Korean isolate of ASGV.
Hong, Jinho,Han, Hyekyung,Hong, Chang Kook,Shim, Sang Eun Wiley Subscription Services, Inc., A Wiley Company 2008 Journal of polymer science Part A, Polymer chemist Vol.46 No.8
<B>Graphic Abstract</B> <P>PS/silica core/shell structured microspheres were easily prepared in a simple process. Because of the acid-base interaction between the TEOS and seed particles prepared by dispersion polymerization, uniform silica shell was formed on the PVP-stabilized PS particles without additional PVP-coating process. <img src='wiley_img/0887624X-2008-46-8-POLA22624-gra001.gif' alt='wiley_img/0887624X-2008-46-8-POLA22624-gra001'> </P>