AFB₁ 대사에서 phloretion의 이중 활성 효과

임대원,이광,고상상,진효연,은상용,최병민,김복량 圓光大學校 醫科學硏究所 2008 圓光醫科學 Vol.23 No.1

Aflatoxm B₁(AFB₁) is a potent hepatocarcinogen in experimental animals and a hazard to human health in several parts of the world. AFB₁ is activated to its ultimate carcinogenic intermediate, AFB₁-8,9-epoxide, by cytochrome P450(CYP) 1A2 and CYP3A4 in human liver and the intermediate is decomposed by several glutathione S-transferase(GST) including GSTA2, GSTM1 and GSTP1. In this study, we investigated the effects of phloretin on the enzyme systems which are involved in the activation and detoxification of AFB₁. The metabolic intermediate of AFB₁ was measured with HPLC. We found that phloretin could strongly inhibit the activities of CYP 3A4 and CYP1A2 in a dose dependent manner. Phloretin induced the antioxidant-response element(ARE)-mediated gene expression, including GSTs. The expressions of GSTA2, T1, M1, and GSTP1 were induced by 10μM phloretin. The decomposition of AFB₁-8,9-epoxide was measured with GSH conjugating activity of the epoxide. The rate was increased to 1.5 fold when HepG2 cells were treated by 10μM phloretin for 12h. In the mean while, the total GST activitives toward CDNB in HepG2 cells were not changed by the treatment with phloretin. The results demonstrate that phloretin has strong chemopreventive effects against AFB₁ toxicity through the inhibition of AFB₁ activation and induction of GSTs.

Machining Surface Quality Analysis of Aluminum Alloy Thin-Walled Parts in Aerospace

Dai Bing,Yu Guang-bin,Guan Yan-qi,Shao Jun-peng,Guan Yan-qi,Wu Xue-mei,Liu Yu-xin 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.11

There are many key parts in the field of aerospace with aluminum alloy thin-walled parts, the problem of breaking the low efficiency in production that’s also followed. There will be a lot of deformation in processing because of its poor rigidity, poor process, which will lead to low processing efficiency. It is of great significance to improve the machining efficiency of the aluminum alloy thin-walled parts, and a series of analysis of the surface quality of aluminum alloy thin-walled parts there are carried out clamping, cutting tools, take the knife route so on, and the problems of low machining efficiency and poor surface quality are solved.

Antimicrobial glycoalkaloids from the tubers of Stephania succifera

Yan-Bo Zeng,Dai-Jing Wei,Wen-Hua Dong,Cai-Hong Cai,De-Lan Yang,Hui-Min Zhong,Wen-Li Mei,Hao Fu Dai 대한약학회 2017 Archives of Pharmacal Research Vol.40 No.4

Three new glycoalkaloids, N-formyl-asimilobine-2-O-b-D-glucoside (1), (-)-1-O-b-D-glucoside-8-oxotetrahydropalmatine(2), and 1-N-monomethylcarbamateargentinine-3-O-b-D-glucoside (3) were isolated fromtubers of Stephania succifera. The structures were establishedbased on spectroscopic analysis, and the antimicrobialactivities of the three glycoalkaloids are reported.

Implementation of online model updating with ANN method in substructure pseudo-dynamic hybrid simulation

Yan Hua Wang,Jing Lv,Yan Feng,Bo Wen Dai,Cheng Wang,Jing Wu,Zi Yan Chen 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.2

Substructure pseudo-dynamic hybrid simulation (SPDHS) is an advanced structural seismic testing method which combines physical experiment and numerical simulation. Generally, the key components which display nonlinearity first are taken as experimental substructures for actual test, and the remaining parts are modeled in simulation. Model updating techniques can be effectively applied to enhance the model precision of nonlinear numerical elements. Specifically, the constitutive model of the experimental substructure is identified online by the instantaneously-measured data, and the corresponding numerical elements with similar hysteretic behaviors are updated synchronously. Artificial neural network (ANN) can recognize the system which cannot be represented by definite numerical model, and thus avoids the structural response distortion caused by the inherent numerical model defects. In this study, a framework for online model updating in SPDHS with ANN method is expanded to implement actual test validation. Moreover, the effectiveness of ANN method is demonstrated by practical tests of a two-story frame model with bending dampers. Additionally, the unscented Kalman filter technique and offline ANN identification approach are both examined in the test validation. The experimental results show that, under the identical loading history, the online ANN method can significantly reduce the model errors and improve the accuracy of SPDHS.

Determinants of HMGB Proteins Required To Promote RAG1/2-Recombination Signal Sequence Complex Assembly and Catalysis during V(D)J Recombination

Dai, Yan,Wong, Ben,Yen, Yi-Meng,Oettinger, Marjorie A.,Kwon, Jongbum,Johnson, Reid C. American Society for Microbiology 2005 Molecular and cellular biology Vol.25 No.11

<B>ABSTRACT</B><P>Efficient assembly of RAG1/2-recombination signal sequence (RSS) DNA complexes that are competent for V(D)J cleavage requires the presence of the nonspecific DNA binding and bending protein HMGB1 or HMGB2. We find that either of the two minimal DNA binding domains of HMGB1 is effective in assembling RAG1/2-RSS complexes on naked DNA and stimulating V(D)J cleavage but that both domains are required for efficient activity when the RSS is incorporated into a nucleosome. The single-domain HMGB protein from <I>Saccharomyces cerevisiae</I>, Nhp6A, efficiently assembles RAG1/2 complexes on naked DNA; however, these complexes are minimally competent for V(D)J cleavage. Nhp6A forms much more stable DNA complexes than HMGB1, and a variety of mutations that destabilize Nhp6A binding to bent microcircular DNA promote increased V(D)J cleavage. One of the two DNA bending wedges on Nhp6A and the analogous phenylalanine wedge at the DNA exit site of HMGB1 domain A were found to be essential for promoting RAG1/2-RSS complex formation. Because the phenylalanine wedge is required for specific recognition of DNA kinks, we propose that HMGB proteins facilitate RAG1/2-RSS interactions by recognizing a distorted DNA structure induced by RAG1/2 binding. The resulting complex must be sufficiently dynamic to enable the series of RAG1/2-mediated chemical reactions on the DNA.</P>

The Contemporary Value of Xunzi`s Political Ethics Thought for the Social Administration

( Yan Jun Dai ) , ( Lin Su ) 한국윤리학회 2014 倫理硏究 Vol.95 No.1

Xunzi`s political ethical thought, including gentleman personality, people-oriented, prospering etiquettes and respecting law and so on, still has a relational meaning for the modern social political moral construction. Gentleman personality comes with an obligation to improve the leading officials` morality; the idea of people-oriented has a vital significance for establishing“ put people first“ thought throughout society and insisting the mass line; This statecraft that focuses both on ritual and law has a very important revelation for improving the foundation for anti-corruption and a clean government. Xunzi`s political ethical thought provides the value for our country`s conducting a harmonious and efficient social administration through the three dimensions mentioned above.

Polymorphisms in the 5'-Upstrem Regulatory Region of FSHB Generate a Novel Cis-Regulatory Element and Affect Its Expression

Lisheng Dai,Yanli Xu,Wangyang Yu,Siyuan Liu,Yan Gao,Bao Yuan,Jiabao Zhang 한국동물생명공학회(구 한국동물번식학회) 2014 한국동물번식학회 한중일 심포지엄 Vol.2014 No.1

Research on Granular Computing Approach in Rough Set

Jin Dai,Feng Hu,Yi Yan 보안공학연구지원센터(IJSIP) 2014 International Journal of Signal Processing, Image Vol.7 No.6

Granulation of information appears in many areas, such as machine learning, evidence theory, and data mining. Granular computing is the core research field in granulation of information. It is an effective tool for complex problem, massive data mining and fuzzy information processing. In the basis of principle of granularity, we aim to study the granular decomposing method in granules space based on rough set. Moreover, the criteria conditions for attribution necessity and attribute reduction are proposed. Finally, the corresponding equivalence is proved to traditional rough set theory. It will lay the foundation for attribute reduction under the granular representation in rough set.

A study of fashion color of the Chinese Ladies' wear from 1996 to 2005

載?(Dai Yan),왕효강(Wang Xiaoqiang) 한국디자인학회 2008 한국디자인학회 학술발표대회 논문집 Vol.- No.-

Multimode participation of traditional Chinese medicine in the treatment of COVID-19

Tieying Dai,Leyin Zhang,Xinyang Dai,Xinran Zhang,Beibei Lu,Yuxi Zheng,Deyi Shen,Yici Yan,Congqi Ji,Jieru Yu,Leitao Sun 한국한의학연구원 2021 Integrative Medicine Research Vol.10 No.-

Background The outbreak of COVID-19 has swiftly spread across China and all over the world, resulting in severe contagious pneumonia. However, no specific anti-COVID-19 drugs or methods are available for the treatment of this acute and fatal disease. In recent years, as the efficacy and safety of traditional Chinese medicine (TCM) have been universally acknowledged, it has been brought to a crucial status domestically and overseas for the treatment of COVID-19. Methods We searched relevant literature, electronic databases, and official statements, diagnoses and protocols to retrieve studies and applications related to traditional Chinese medicine for COVID-19 in terms of regulations and policies, clinical evidence, preclinical rationale and big data analysis and then summarized the discovery and development of potential drugs and their targets. Results Clinicians, researchers, governments, the public, colleges, institutes and companies collected and classified associated policies, regulations and actual contributions, searched clinical trials and preclinical experimental outcomes from databases, studied potential TCM drugs with possible mechanisms, retrieved numerous big data analysis method and gathered pooled results of compounds along with their effective targets to make traditional Chinese medicine vital to cover all stages of patients in the treatment and control of COVID-19. Conclusion Traditional Chinese medicine provides new evidence to support the clinical value of TCM for COVID-19. Background The outbreak of COVID-19 has swiftly spread across China and all over the world, resulting in severe contagious pneumonia. However, no specific anti-COVID-19 drugs or methods are available for the treatment of this acute and fatal disease. In recent years, as the efficacy and safety of traditional Chinese medicine (TCM) have been universally acknowledged, it has been brought to a crucial status domestically and overseas for the treatment of COVID-19. Methods We searched relevant literature, electronic databases, and official statements, diagnoses and protocols to retrieve studies and applications related to traditional Chinese medicine for COVID-19 in terms of regulations and policies, clinical evidence, preclinical rationale and big data analysis and then summarized the discovery and development of potential drugs and their targets. Results Clinicians, researchers, governments, the public, colleges, institutes and companies collected and classified associated policies, regulations and actual contributions, searched clinical trials and preclinical experimental outcomes from databases, studied potential TCM drugs with possible mechanisms, retrieved numerous big data analysis method and gathered pooled results of compounds along with their effective targets to make traditional Chinese medicine vital to cover all stages of patients in the treatment and control of COVID-19. Conclusion Traditional Chinese medicine provides new evidence to support the clinical value of TCM for COVID-19.