• Title/Summary/Keyword: BIOMARKER

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The Induction of ROS-dependent Autophagy by Particulate Matter 2.5 and Hydrogen Peroxide in Human Lung Epithelial A549 Cells (미세먼지와 산화적 스트레스에 의한 인간 폐 상피 A549 세포에의 ROS 의존적 자가포식 유도)

  • Park, Beom Su;Kim, Da Hye;Hwangbo, Hyun;Lee, Hyesook;Hong, Su Hyun;Cheong, Jaehun;Choi, Yung Hyun
    • Journal of Life Science
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    • v.32 no.4
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    • pp.310-317
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    • 2022
  • Recently, interest in the harmful factors of particulate matter (PM), a major component of air pollution, has been increasing. In particular, PM2.5 with a diameter of less than 2.5 ㎛ is well known to induce oxidative stress accompanied by autophagy in human lung epithelial cells. However, studies on whether PM2.5 increases autophagy under oxidative stress and whether this process is reactive oxygen species (ROS)-dependent are insufficient. Therefore, in this study, we investigated whether PM2.5 promotes autophagy through the generation of ROS in human alveolar epithelial A594 cells. According to our results, cells co-treated with PM2.5 and hydrogen peroxide (H2O2) showed a lower cell viability than cells treated with each alone, which was associated with increased total and mitochondrial ROS production. The co-treatment of PM2.5 and H2O2 also increased autophagy induction, which was confirmed through Cyto-ID staining, and the expression of autophagy biomarker proteins increased. However, when ROS generation was artificially blocked by N-acetyl-L-cysteine pretreatment, the reduction in cell viability and induction of autophagy by PM2.5 and H2O2 co-treatment were markedly attenuated. Therefore, the present results suggest that PM2.5-induced ROS generation may play a critical role in autophagy induction in A549 cells.

Fecal Microbiota Profiling of Holstein and Jersey, in South Korea : A Comparative Study (국내에서 사육되는 Holstein 젖소과 Jersey 젖소의 대변 미생물 분석 : 비교연구)

  • Gwangsu Ha;Ji-Won Seo;Hee Gun Yang;Se Won Park;Soo-Young Lee;Young Kyoung Park;RanHee Lee;Do-Youn Jeong;Hee-Jong Yang
    • Journal of Life Science
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    • v.33 no.7
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    • pp.565-573
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    • 2023
  • In light of the complex interactions between the host animal and its resident gut microbiomes, studies of these microbial communities as a means to improve cattle production are important. This study was conducted to analyze the intestinal microorganisms of Holstein (HT) and Jersey (JS), raised in Korea and to clarify the differences in microbial structures according to cattle species through next-generation sequencing. The alpha-diversity analysis revealed that most species richness and diversity indices were significantly higher in JS than in HT whereas phylogenetic diversity, which is the sum of taxonomic distances, is not significant. Microbial composition analysis showed that the intestinal microbial community structure of the two groups differed. In the both groups, a significant correlation was observed among the distribution of several microbes at the family level. In particular, a highly significant correlation (p<0.0001) among a variety of microbial distributions was found in JS. Beta-diversity analyis was to performed to statistically verify whether a difference exists in the intestinal microbial community structure of the two groups. Principal coordinate analysis and unweighted pair group method with arithmetic mean (UPGMA) clustering analysis showed separation between the HT and JS clusters. Meanwhile, permutational multivariate analysis of variance (PERMANOVA) revealed that their microbial structures are significantly different (p<0.0001). LEfSe biomarker analysis was performed to discover the differenc microbial features between the two groups. We found that several microbes, such as Firmicutes, Bacilli, Moraxellaceae and Pseudomonadales account for most of the difference in intestinal microbial community structure between the two groups.

A Study on the analysis method and composition characteristics of organic materials in the pottery excavated at the palace site in Yongjangseong Fortress, Jindo (진도 용장성 왕궁지 출토 도기호 내부 유기물의 분석법과 성분 특성 연구)

  • YUN Eunyoung;YU Jia;KIM Kyuho
    • Korean Journal of Heritage: History & Science
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    • v.56 no.3
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    • pp.158-171
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    • 2023
  • Pottery filled with organic materials was excavated from the G-2 building site of Yongjangseong Fortress, Jingo, a relic of the Goryeo Dynasty. In this study, the characteristics of organic material were confirmed by a scientific analysis of organic material in pottery found at the palace in Yongjangseong, Jindo. In addition, it was intended to review the analysis method to identify the natural resin and to secure characteristic components(biomarkers) for each natural resin and use them as basic data in the future. The organic materials in the pottery were analyzed using attenuated total reflectance Fourier-transformed infrared spectroscopy(ATR-FTIR) and gas chromatography mass spectrometry(GC-MS). The infrared spectral characteristics were estimated to be natural resin, and biomarkers of organic materials were identified as sesquiterpene-based compounds(C15H24, MW 204) and derivatives. The lacquer(T.vemicifluum) is composed mainly of alkenes, alkanes, and catechol. Pine resin(P.densiflora), on the other hand, is primarily composed of diterpenoid(abietic acid, pimaric acid) and Whangchil(yellow lacquer) is identified to have sesquiterpenes(such as selinene, muurolene, calamenene) as its main components. So, the organic material in the pottery can be identified as Whangchil by comparing their compounds with modern resin materials from Dendropanax. morbifera that correspond with the results. Whangchil, which is exuded from the Dendropanax. morbifera, has been used as a natural coating materials since ancient times, and it has been confirmed that the characteristic components are well preserved even 700 years later. It can be assumed that the interior Whangchil was stored not for use as a coating, but rather for ritual purposes when the building was constructed, because the pottery was found near the cornerstone. Furthermore, based on simplified sample preparation using pyrolysis-gas chromatography mass spectrometry(Py-GC-MS), the thermal decomposition products were found to be similar to the characteristic components, suggesting that this method can be applied to the identification of natural resins used in historic artifacts.