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Major depressive disorder:hypothesis,mechanism,prevention and treatment 被引量:6
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作者 Lulu Cui Shu Li +7 位作者 Siman Wang Xiafang Wu Yingyu Liu weiyang yu Yijun Wang Yong Tang Maosheng Xia Baoman Li 《Signal Transduction and Targeted Therapy》 SCIE CSCD 2024年第3期913-944,共32页
Worldwide,the incidence of major depressive disorder(MDD)is increasing annually,resulting in greater economic and social burdens.Moreover,the pathological mechanisms of MDD and the mechanisms underlying the effects of... Worldwide,the incidence of major depressive disorder(MDD)is increasing annually,resulting in greater economic and social burdens.Moreover,the pathological mechanisms of MDD and the mechanisms underlying the effects of pharmacological treatments for MDD are complex and unclear,and additional diagnostic and therapeutic strategies for MDD still are needed.The currently widely accepted theories of MDD pathogenesis include the neurotransmitter and receptor hypothesis,hypothalamicpituitary-adrenal(HPA)axis hypothesis,cytokine hypothesis,neuroplasticity hypothesis and systemic influence hypothesis,but these hypothesis cannot completely explain the pathological mechanism of MDD.Even it is still hard to adopt only one hypothesis to completely reveal the pathogenesis of MDD,thus in recent years,great progress has been made in elucidating the roles of multiple organ interactions in the pathogenesis MDD and identifying novel therapeutic approaches and multitarget modulatory strategies,further revealing the disease features of MDD.Furthermore,some newly discovered potential pharmacological targets and newly studied antidepressants have attracted widespread attention,some reagents have even been approved for clinical treatment and some novel therapeutic methods such as phototherapy and acupuncture have been discovered to have effective improvement for the depressive symptoms.In this work,we comprehensively summarize the latest research on the pathogenesis and diagnosis of MDD,preventive approaches and therapeutic medicines,as well as the related clinical trials. 展开更多
关键词 PREVENTION ACUPUNCTURE HYPOTHESIS
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A periodic DFT study on adsorption of small molecules(CH4,CO,H2O,H2S,NH3)on the WO3(001) surface-supported Au 被引量:1
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作者 Long Lin Jingtao Huang +6 位作者 weiyang yu Chaozheng He Hualong Tao Yonghao Xu Linghao Zhu Pengtao Wang Zhanying Zhang 《Communications in Theoretical Physics》 SCIE CAS CSCD 2020年第3期69-82,共14页
Gas molecules(such as CH4,CO,H2O,H2S,NH_3)adsorption on the pure and Au-doped WO3(001)surface have been studied by Density functional theory calculations with generalized gradient approximation.Based on the the calcul... Gas molecules(such as CH4,CO,H2O,H2S,NH_3)adsorption on the pure and Au-doped WO3(001)surface have been studied by Density functional theory calculations with generalized gradient approximation.Based on the the calculation of adsorption energy,we found the most stable adsorption site for gas molecules by comparing the adsorption energies of different gas molecules on the WO3(001)surface.We have also compared the adsorption energy of five different gas molecules on the WO3(001)surface,our calculation results show that when the five kinds of gases are adsorbed on the pure WO3(001)surface,the order of the surface adsorption energy is CO>H2S>CH4>H2O>NH3.And the results show that NH3 is the most easily adsorbed gas among the other four gases adsorbed on the surface of pure WO3(001)surface.We also calculated the five different gases on the Au-doped WO3(001)surface.The order of adsorption energy was found to be different from the previous calculation:CO>CH4>H2S>H2O>NH3.These results provide a new route for the potential applications of Au-doped WO3 in gas molecules adsorption. 展开更多
关键词 WO3 gas molecules ADSORPTION density functional theory
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A new optimum design method of bicycle parameters for a specified rider
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作者 XinJun Liu Jing Wang +1 位作者 weiyang yu JinHua Wu 《Chinese Science Bulletin》 SCIE EI CAS 2012年第17期2192-2192,共1页
The optimum design of bicycle parameters has been explored by many scholars and institutes since bicycles were first invented. Professor XinJun Liu and his group at Tsinghua
关键词 自行车 优化设计方法 参数优化设计 研究机构 清华大学 设计参数 系统
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