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| 1 | Evidence chain-based causality identification in herb-induced liver injury: exemplification of a well-known liver-restorative herb Polygonum multiflorum显示文摘草药的药最近在美国作为导致药的肝损害(DILI ) 的第二个很普通的原因被认出了。然而,识别一些植物的 DILI 诱发性的可靠方法例如 Heshouwu (蓼 multiflorum 的弄干的根) ,留下缺乏。在这研究,有肝机能障碍和 Heshouwu DILI 的 147 个报导文学的案例的 12 307 个住院病人的一个总数被屏蔽。一个一般算法仅仅显示了那 22.5%(9/40 ) 并且(45/147 ) 分别地, 30.6% 所有住院和文学案例报告表明 Heshouwu 的 DILI 诱发性的高概率。由对比,(19/20 )95% 生药学,植物化学,和 metabolomic 有希望地调查的所有情况测试展出高度可能的诱发性,包括不正确地以前被归因的一个病人和从由 pharmacognostic 证据的 Heshouwu 诱发性被排除的一个案例。污染也是的毒素(重金属,杀虫剂,和 mycotoxins ) 从 Heshouwu DILI 诱发性排除了。为 Heshouwu DILI 诊断地址安全的这些屏蔽方法的客观性担心考虑包含芪的草药的药和饮食的补充。 | Jiabo Wang Zhijie Ma Ming Niu Yun Zhu Qingsheng Liang Yanling Zhao Jingyuan Song Zhaofang Bai Yaming Zhang Ping Zhang Na Li Yakun Meng Qi Li Lushan Qin Guangju Teng Junling Cao Baosen Li Shilin Chen Yonggang Li Zhengsheng Zou Honghao Zhou Xiaohe Xiao | 2015 | Frontiers of Medicine2015，9，4： | 47 |
| 2 | Landscape of DILI-related adverse drug reaction in China Mainland显示文摘Drug-induced liver injury(DILI)is a type of bizarre adverse drug reaction(ADR)damaging liver(L-ADR)which may lead to substantial hospitalizations and mortality.Due to the general low incidence,detection of L-ADR remains an unsolved public health challenge.Therefore,we used the data of 6.673 million of ADR reports from January 1st,2012 to December 31st,2016 in China National ADR Monitoring System to establish a new database of L-ADR reports for future investigation.Results showed that totally 114,357 ADR reports were retrieved by keywords searching of liver-related injuries from the original heterogeneous system.By cleaning and standardizing the data fields by the dictionary of synonyms and English translation,we resulted 94,593 ADR records reported to liver injury and then created a new database ready for computer mining.The reporting status of L-ADR showed a persistent 1.62-fold change over the past five years.The national population-adjusted reporting numbers of L-ADR manifested an upward trend with age increasing and more evident in men.The annual reporting rate of L-ADR in age group over 80 years old strikingly exceeded the annual DILI incidence rate in general population,despite known underreporting situation in spontaneous ADR reporting system.The percentage of herbal and traditional medicines(H/TM)L-ADR reports in the whole number was 4.5%,while 80.60%of the H/TM reports were new findings.There was great geographical disparity of reported agents,i.e.more cardiovascular and antineoplastic agents were reported in higher socio-demographic index(SDI)regions and more antimicrobials,especially antitubercular agents,were reported in lower SDI regions.In conclusion,this study presented a large-scale,unbiased,unified,and computer-minable L-ADR database for further investigation.Age-,sex-and SDI-related risks of L-ADR incidence warrant to emphasize the precise pharmacovigilance policies within China or other regions in the world. | Jiabo Wang Haibo Song Feilin Ge Peng Xiong Jing Jing Tingting He Yuming Guo Zhuo Shi Chao Zhou Zixin Han Yanzhong Han Ming Niu Zhaofang Bai Guangbin Luo Chuanyong Shen Xiaohe Xiao | 2022 | Acta Pharmaceutica Sinica B2022，12，12： | 12 |
| 3 | Methamphetamine induces cireTLk1 expression in cultured neurons and addiction mouse显示文摘Circular RNA is a type of non-coding RNA which forms a loop structure.CircRNA was reported to exhibit cell-and tissue-specific patterns.Although accumulating evidences have showed circRNA plays an important role in neural development and neuropsychiatric diseases,there is lttle knowledge between circRNA and methamphetamine(MA).Using primary neuron culture,we identified the differential circRNAs with MA treatment through RNA sequencing.After RT-PCR analysis,circTLk1 expression was significant reduced.Moreover,we produced MA addicted mouse models with conditioned place preference test.The different brain area including hippocampus,prefrontal cortex,ventral tegmental area(VTA)and nucleus accubens were isolated and determined circTLk1's expression. | Li Junwei Song Ruiheng Xi Kaiyan Hang Zhaofang Mu Shouhong Sun Jinhao | 2021 | 解剖学杂志2021，44，S01： | 0 |
| 4 | Deep Reinforcement Learning Based Bi-layer Optimal Scheduling for Microgrids Considering Flexible Load Control显示文摘In this paper,the bi-layer scheduling method for microgrids,based on deep reinforcement learning,is proposed to achieve economic and environmentally friendly operations.First,considering the uncertainty of renewable energy,the framework of day-ahead and intra-day scheduling is established,and the implementation scheme for both price-based and incentive-based demand response(DR)for the flexible load is determined.Then,comprehensively considering the operating characteristics of the microgrid in the day-ahead and intra-day time scales,a bi-layer scheduling model of the microgrid is established.In terms of algorithms,since day-ahead scheduling has no strict requirement for dispatching time,the particle swarm optimization(PSO)algorithm is used to optimize the time-of-use electricity price and distributed power output for the next day.Considering the environmental fluctuations and requirements for rapidity of intra-day online scheduling,the deep reinforcement learning(DRL)algorithm is adopted for optimization.Finally,based on the data from the actual microgrid,the rationality and effectiveness of the proposed scheduling method is verified.The results show that the proposed bi-layer scheduling based on the PSO and DRL algorithms achieves the optimization of scheduling cost and calculation speed,and is suitable for microgrid online scheduling. | Zitong Zhang Jing Shi Wangwang Yang Zhaofang Song Zexu Chen Dengquan Lin | 2023 | CSEE Journal of Power and Energy Systems2023，9，3： | 0 |
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