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Park, Yelim,Lee, Aram,Choi, Kyungho,Kim, Hai-Joong,Lee, Jeong Jae,Choi, Gyuyeon,Kim, Sungjoo,Kim, Su Young,Cho, Geum Joon,Suh, Eunsook,Kim, Sung Koo,Eun, So-Hee,Eom, Soyong,Kim, Seunghyo,Kim, Gun-Ha,M Elsevier 2018 Science of the Total Environment Vol.612 No.-
<P><B>Abstract</B></P> <P>Mercury and lead are naturally occurring toxicants and are responsible for various health issues including neurobehavioral and developmental disorders. Because of crucial synchronized developmental processes occurring at the early stage of life, infancy and childhood are considered as among the most susceptible windows to the exposure to these metals. Breastmilk is often the only source of nutrition during the first months of life. As breastmilk can be contaminated with these metals, breastfeeding may serve as a significant route of heavy metal exposure among infants. In order to understand current levels of exposure to mercury and lead through breastfeeding, and their associated risks, a total of 157 lactating mothers were recruited from Children's Health and Environmental Chemicals of Korea (CHECK) cohort, and breastmilk samples were collected at 15 and 30days after delivery (<I>n</I> =207). Mercury was detected from 100% of breastmilk with a median concentration of 0.59μg/L, and lead was detected in 77% of the samples with a median at 4.71μg/L. Higher concentrations of lead were found in the 30- day breastmilk than in the 15-day. Up to 45% of the breastmilk samples exceeded the normal range of the breastmilk lead suggested by WHO. Based on Monte Carlo simulation, about 71% of 15days old infants and 56% of 30days old infants were estimated at risk due to lead exposure through breastfeeding. Considering vulnerability of infants and well-known neurological toxicity of these metals, further studies to identify major exposure sources that contribute the lead concentration in breastmilk and health implication of early life stage exposure to lead among the breastfed infants are warranted.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We analyzed mercury and lead in 207 breastmilk collected at 15 and 30days after delivery. </LI> <LI> Mercury was detected from 100% of breastmilk with the median of 0. 59μg/L. </LI> <LI> Lead was detected in 77 % of breastmilk with the median of 4.71μg/L. </LI> <LI> The hazard quotient of lead exceeded 1.0 for 71% of 15days and for 56% for 30days old infants from breastfeeding. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Donghee Lee,Yelim Seo,Young-Won Kim,Seongtae Kim,Jeongyoon Choi,Sung-Hee Moon,Hyemi Bae,Hui-sok Kim,Hangyeol Kim,Jae-Hyun Kim,Tae-Young Kim,Eunho Kim,Suemin Yim,Inja Lim,Hyoweon Bang,Jung-Ha Kim,Jae-H 대한약리학회 2019 The Korean Journal of Physiology & Pharmacology Vol.23 No.5
Although atopic dermatitis (AD) is known to be a representative skin disorder, it also affects the systemic immune response. In a recent study, myoblasts were shown to be involved in the immune regulation, but the roles of muscle cells in AD are poorly understood. We aimed to identify the relationship between mitochondria and atopy by genome-wide analysis of skeletal muscles in mice. We induced AD-like symptoms using house dust mite (HDM) extract in NC/Nga mice. The transcriptional profiles of the untreated group and HDM-induced AD-like group were analyzed and compared using microarray, differentially expressed gene and functional pathway analyses, and protein interaction network construction. Our microarray analysis demonstrated that immune response-, calcium handling-, and mitochondrial metabolism-related genes were differentially expressed. In the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology pathway analyses, immune response pathways involved in cytokine interaction, nuclear factor-kappa B, and T-cell receptor signaling, calcium handling pathways, and mitochondria metabolism pathways involved in the citrate cycle were significantly upregulated. In protein interaction network analysis, chemokine family-, muscle contraction process-, and immune response-related genes were identified as hub genes with many interactions. In addition, mitochondrial pathways involved in calcium signaling, cardiac muscle contraction, tricarboxylic acid cycle, oxidation-reduction process, and calcium-mediated signaling were significantly stimulated in KEGG and Gene Ontology analyses. Our results provide a comprehensive understanding of the genome-wide transcriptional changes of HDM-induced AD-like symptoms and the indicated genes that could be used as AD clinical biomarkers.
Lee, Donghee,Seo, Yelim,Kim, Young-Won,Kim, Seongtae,Bae, Hyemi,Choi, Jeongyoon,Lim, Inja,Bang, Hyoweon,Kim, Jung-Ha,Ko, Jae-Hong The Korean Society of Pharmacology 2019 The Korean Journal of Physiology & Pharmacology Vol.23 No.2
Despite increased evidence of bio-activity following far-infrared (FIR) radiation, susceptibility of cell signaling to FIR radiation-induced homeostasis is poorly understood. To observe the effects of FIR radiation, FIR-radiated materials-coated fabric was put on experimental rats or applied to L6 cells, and microarray analysis, quantitative real-time polymerase chain reaction, and wound healing assays were performed. Microarray analysis revealed that messenger RNA expressions of rat muscle were stimulated by FIR radiation in a dose-dependent manner in amount of 10% and 30% materials-coated. In 30% group, 1,473 differentially expressed genes were identified (fold change [FC] > 1.5), and 218 genes were significantly regulated (FC > 1.5 and p < 0.05). Microarray analysis showed that extracellular matrix (ECM)-receptor interaction, focal adhesion, and cell migration-related pathways were significantly stimulated in rat muscle. ECM and platelet-derived growth factor (PDGF)-mediated cell migration-related genes were increased. And, results showed that the relative gene expression of actin beta was increased. FIR radiation also stimulated actin subunit and actin-related genes. We observed that wound healing was certainly promoted by FIR radiation over 48 h in L6 cells. Therefore, we suggest that FIR radiation can penetrate the body and stimulate PDGF-mediated cell migration through ECM-integrin signaling in rats.
몽골 울란바토르시 게르촌 주택의 겨울철 실내 초미세먼지(PM 2.5 ) 농도의 시간적 변이
이보람(Boram Lee),이지영(Jiyoung Lee),장예림(Yelim Jang),김윤지(Yoonjee Kim),하헌성(Hunsung Ha),이우석(Wooseok Lee),최우석(Wooseok Choe),김규성(Kyusung Kim),우철운(Cheolwoon Woo),Chimedsuren Ochir,이기영(Kiyoung Lee) 한국환경보건학회 2018 한국환경보건학회지 Vol.44 No.1
Objectives: In Mongolian housing, they use coal as a fuel for indoor heating and cooking. The combustion of coal releases particulate matter, which can affect indoor air quality. The purpose of this study was to analyze the concentrations of indoor PM 2.5 Methods: In this study, indoor PM 2.5 concentrations, temperature and humidity in houses were measured by a real-time PM monitor, while the time activity patternsof the residents were also observed. Results: The correlation between factors that may affect the indoor air quality was analyzed.The indoor PM 2.5 concentrations were 178.4±152.7 µg/m 3 (n=37). Five types of indoor PM 2.5 concentrations have been classified, which were associated with indoor activity. The stove type, fuel types and indoor activities such as cleaning, cooking and opening the stoves were not significantly associated with indoor PM 2.5 levels. Conclusions: Further study is needed to determine the effect of stove type through 24hours of indoor air quality monitoring.
Expression of potassium channel genes predicts clinical outcome in lung cancer
Eun-A Ko,Young-Won Kim,Donghee Lee,Jeongyoon Choi,Seongtae Kim,Yelim Seo,Hyoweon Bang,Jung-Ha Kim,Jae-Hong Ko 대한약리학회 2019 The Korean Journal of Physiology & Pharmacology Vol.23 No.6
Lung cancer is the most common cause of cancer deaths worldwide and several molecular signatures have been developed to predict survival in lung cancer. Increasing evidence suggests that proliferation and migration to promote tumor growth are associated with dysregulated ion channel expression. In this study, by analyzing high-throughput gene expression data, we identify the differentially expressed K+ channel genes in lung cancer. In total, we prioritize ten dysregulated K+ channel genes (5 up-regulated and 5 down-regulated genes, which were designated as K-10) in lung tumor tissue compared with normal tissue. A risk scoring system combined with the K-10 signature accurately predicts clinical outcome in lung cancer, which is independent of standard clinical and pathological prognostic factors including patient age, lymph node involvement, tumor size, and tumor grade. We further indicate that the K-10 potentially predicts clinical outcome in breast and colon cancers. Molecular signature discovered through K+ gene expression profiling may serve as a novel biomarker to assess the risk in lung cancer.
Expression of potassium channel genes predicts clinical outcome in lung cancer
Ko, Eun-A,Kim, Young-Won,Lee, Donghee,Choi, Jeongyoon,Kim, Seongtae,Seo, Yelim,Bang, Hyoweon,Kim, Jung-Ha,Ko, Jae-Hong The Korean Society of Pharmacology 2019 The Korean Journal of Physiology & Pharmacology Vol.23 No.6
Lung cancer is the most common cause of cancer deaths worldwide and several molecular signatures have been developed to predict survival in lung cancer. Increasing evidence suggests that proliferation and migration to promote tumor growth are associated with dysregulated ion channel expression. In this study, by analyzing high-throughput gene expression data, we identify the differentially expressed $K^+$ channel genes in lung cancer. In total, we prioritize ten dysregulated $K^+$ channel genes (5 up-regulated and 5 down-regulated genes, which were designated as K-10) in lung tumor tissue compared with normal tissue. A risk scoring system combined with the K-10 signature accurately predicts clinical outcome in lung cancer, which is independent of standard clinical and pathological prognostic factors including patient age, lymph node involvement, tumor size, and tumor grade. We further indicate that the K-10 potentially predicts clinical outcome in breast and colon cancers. Molecular signature discovered through $K^+$ gene expression profiling may serve as a novel biomarker to assess the risk in lung cancer.