|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Classic mechanisms and experimental models for the anti-inflammatory effect of traditional Chinese medicine显示文摘Inflammation is a common disease involved in the pathogenesis,complications,and sequelae of a large number of related diseases,and therefore considerable research has been directed toward developing anti-inflammatory drugs for the prevention and treatment of these diseases.Traditional Chinese medicine(TCM)has been used to treat inflammatory and related diseases since ancient times.According to the re-view of abundant modern scientific researches,it is suggested that TCM exhibit anti-inflammatory effects at different levels,and via multiple pathways with various targets,and recently a series of in vitro and in vivo anti-inflammatory models have been developed for anti-inflammation research in TCM.Currently,the reported classic mechanisms of TCM and experimental models of its anti-inflammatory effects pro-vide reference points and guidance for further research and development of TCM.Importantly,the research clearly confirms that TCM is now and will continue to be an effective form of treatment for many types of inflammation and inflammation-related diseases. | Du Hongzhi Hou Xiaoying Guo Yujie Chen Le Miao Yuhuan Liu Dahui Huang Luqi | 2022 | Animal Models and Experimental Medicine2022，5，2： | 2 |
| 2 | Artificial intelligence in cancer target identification and drug discovery显示文摘Artificial intelligence is an advanced method to identify novel anticancer targets and discover novel drugs from biology networks because the networks can effectively preserve and quantify the interaction between components of cell systems underlying human diseases such as cancer.Here,we review and discuss how to employ artificial intelligence approaches to identify novel anticancer targets and discover drugs.First,we describe the scope of artificial intelligence biology analysis for novel anticancer target investigations.Second,we review and discuss the basic principles and theory of commonly used network-based and machine learning-based artificial intelligence algorithms.Finally,we showcase the applications of artificial intelligence approaches in cancer target identification and drug discovery.Taken together,the artificial intelligence models have provided us with a quantitative framework to study the relationship between network characteristics and cancer,thereby leading to the identification of potential anticancer targets and the discovery of novel drug candidates. | Yujie You Xin Lai Yi Pan Huiru Zheng Julio Vera Suran Liu Senyi Deng Le Zhang | 2022 | Signal Transduction and Targeted Therapy2022，7，6： | 2 |
| 3 | First SHRIMP U–Pb zircon dating of granulites from the Kontum massif (Vietnam) and tectonothermal implications显示文摘 | Tran Ngoc Nam Yuji Sano Kentaro Terada Mitsuhiro Toriumi Phan Van Quynh Le Tien Dung | 2001 | Journal of Asian Earth Sciences2001，，1： | 1 |
| 4 | Control of hydrodesulfurization and hydrodearomatization properties over bimetullic Pd-Pt catalysts supportedon Yb-modified USY zeolite显示文摘 | Lionel Le Bihan Yuji Yoshimura | 2002 | Fuel2002，81，： | 1 |
| 5 | Artemisia argyi extract subfraction exerts an antifungal effect against dermatophytes by disrupting mitochondrial morphology and function显示文摘Artemisia argyi(A.argyi),a plant with a longstanding history as a raw material for traditional medicine and functional diets in Asia,has been used traditionally to bathe and soak feet for its disinfectant and itch-relieving properties.Despite its widespread use,scientific evidence validating the antifungal efficacy of A.argyi water extract(AAWE)against dermatophytes,particularly Trichophyton rubrum,Trichophyton mentagrophytes,and Microsporum gypseum,remains limited.This study aimed to substantiate the scientific basis of the folkloric use of A.argyi by evaluating the antifungal effects and the underlying molecular mechanisms of its active subfraction against dermatophytes.The results indicated that AAWE exhibited excellent antifungal effects against the three aforementioned dermatophyte species.The subfraction AAWE6,isolated using D101 macroporous resin,emerged as the most potent subfraction.The minimum inhibitory concentrations(MICs)of AAWE6 against T.rubrum,M.gypseum,and T.mentagrophytes were 312.5,312.5,and 625μg·mL−1,respectively.Transmission electron microscopy(TEM)results and assays of enzymes linked to cell wall integrity and cell membrane function indicated that AAWE6 could penetrate the external protective barrier of T.rubrum,creating breaches(“small holes”),and disrupt the internal mitochondrial structure(“granary”).Furthermore,transcriptome data,quantitative real-time PCR(RT-qPCR),and biochemical assays corroborated the severe disruption of mitochondrial function,evidenced by inhibited tricarboxylic acid(TCA)cycle and energy metabolism.Additionally,chemical characterization and molecular docking analyses identified flavonoids,primarily eupatilin(131.16±4.52 mg·g^(−1))and jaceosidin(4.17±0.18 mg·g^(−1)),as the active components of AAWE6.In conclusion,the subfraction AAWE6 from A.argyi exerts antifungal effects against dermatophytes by disrupting mitochondrial morphology and function.This research validates the traditional use of A.argyi and provides scientific support for its antidermatophytic applications,as recognized in the Chinese patent(No.ZL202111161301.9). | CHEN Le ZHU Yunyun GUO Chaowei GUO Yujie ZHAO Lu MIAO Yuhuan DU Hongzhi LIU Dahui | 2024 | Chinese Journal of Natural Medicines2024，22，1： | 0 |
| 6 | Decline in subarachnoid haemorrhage volumes associated with the first wave of the COVID- 19 pandemic显示文摘Background During the COVID-19 pandemic,decreased volumes of stroke admissions and mechanical thrombectomy were reported.The study’s objective was to examine whether subarachnoid haemorrhage(SAH)hospitalisations and ruptured aneurysm coiling interventions demonstrated similar declines.Methods We conducted a cross-sectional,retrospective,observational study across 6 continents,37 countries and 140 comprehensive stroke centres.Patients with the diagnosis of SAH,aneurysmal SAH,ruptured aneurysm coiling interventions and COVID-19 were identified by prospective aneurysm databases or by International Classification of Diseases,10th Revision,codes.The 3-month cumulative volume,monthly volumes for SAH hospitalisations and ruptured aneurysm coiling procedures were compared for the period before(1 year and immediately before)and during the pandemic,defined as 1 March-31 May 2020.The prior 1-year control period(1 March-31 May 2019)was obtained to account for seasonal variation.Findings There was a significant decline in SAH hospitalisations,with 2044 admissions in the 3 months immediately before and 1585 admissions during the pandemic,representing a relative decline of 22.5%(95%CI−24.3%to−20.7%,p<0.0001).Embolisation of ruptured aneurysms declined with 1170-1035 procedures,respectively,representing an 11.5%(95%CI−13.5%to−9.8%,p=0.002)relative drop.Subgroup analysis was noted for aneurysmal SAH hospitalisation decline from 834 to 626 hospitalisations,a 24.9%relative decline(95%CI−28.0%to−22.1%,p<0.0001).A relative increase in ruptured aneurysm coiling was noted in low coiling volume hospitals of 41.1%(95%CI 32.3%to 50.6%,p=0.008)despite a decrease in SAH admissions in this tertile.Interpretation There was a relative decrease in the volume of SAH hospitalisations,aneurysmal SAH hospitalisations and ruptured aneurysm embolisations during the COVID-19 pandemic.These findings in SAH are consistent with a decrease in other emergencies,such as stroke and myocardial infarction. | Thanh N Nguyen Diogo C Haussen Muhammad M Qureshi Hiroshi Yamagami Toshiyuki Fujinaka Ossama Y Mansour Mohamad Abdalkader Michael Frankel Zhongming Qiu Allan Taylor Pedro Lylyk Omer F Eker Laura Mechtouff Michel Piotin Fabricio Oliveira Lima Francisco Mont'Alverne Wazim Izzath Nobuyuki Sakai Mahmoud Mohammaden Alhamza R Al-Bayati Leonardo Renieri Salvatore Mangiafico David Ozretic Vanessa Chalumeau Saima Ahmad Umair Rashid Syed Irteza Hussain Seby John Emma Griffin John Thornton Jose Antonio Fiorot Rodrigo Rivera Nadia Hammami Anna M Cervantes-Arslanian Hormuzdiyar H Dasenbrock Huynh Le Vu Viet Quy Nguyen Steven Hetts Romain Bourcier Romain Guile Melanie Walker Malveeka Sharma Don Frei Pascal Jabbour Nabeel Herial Fawaz Al-Mufti Atilla Ozcan Ozdemir Ozlem Aykac Dheeraj Gandhi Chandril Chugh Charles Matouk Pascale Lavoie Randall Edgell Andre Beer-Furlan Michael Chen Monika Killer-Oberpfalzer Vitor Mendes Pereira Patrick Nicholson Vikram Huded Nobuyuki Ohara Daisuke Watanabe Dong Hun Shin Pedro SC Magalhaes Raghid Kikano Santiago Ortega-Gutierrez Mudassir Farooqui Amal Abou-Hamden Tatsuo Amano Ryoo Yamamoto Adrienne Weeks Elena A Cora Rotem Sivan-Hoffmann Roberto Crosa Markus Möhlenbruch Simon Nagel Hosam Al-Jehani Sunil A Sheth Victor S Lopez Rivera James E Siegler Achmad Fidaus Sani Ajit S Puri Anna Luisa Kuhn Gianmarco Bernava Paolo Machi Daniel G Abud Octavio M Pontes-Neto Ajay K Wakhloo Barbara Voetsch Eytan Raz Shadi Yaghi Brijesh P Mehta Naoto Kimura Mamoru Murakami Jin Soo Lee Ji Man Hong Robert Fahed Gregory Walker Eiji Hagashi Steve M Cordina Hong Gee Roh Ken Wong Juan F Arenillas Mario Martinez-Galdamez Jordi Blasco Alejandro Rodriguez Vasquez Luisa Fonseca M Luis Silva Teddy Y Wu Simon John Alex Brehm Marios Psychogios William J Mack Matthew Tenser Tatemi Todaka Miki Fujimura Roberta Novakovic Jun Deguchi Yuri Sugiura Hiroshi Tokimura Rakesh Khatri Michael Kelly Lissa Peeling Yuichi Murayama Hugh Stephen Winters Johnny Wong Mohamed Teleb Jeremy Payne Hiroki Fukuda Kosuke Miyake Junsuke Shimbo Yusuke Sugimura Masaaki Uno Yohei Takenobu Yuji Matsumaru Satoshi Yamada Ryuhei Kono Takuya Kanamaru Masafumi Morimoto Junichi Iida Vasu Saini Dileep Yavagal Saif Bushnaq Wenguo Huang Italo Linfante Jawad Kirmani David S Liebeskind Viktor Szeder Ruchir Shah Thomas G Devlin Lee Birnbaum Jun Luo Anchalee Churojana Hesham E Masoud Carlos Ynigo Lopez Brendan Steinfort Alice Ma Ameer E Hassan Amal Al Hashmi Mollie McDermott Maxim Mokin Alex Chebl Odysseas Kargiotis Georgios Tsivgoulis Jane G Morris Clifford J Eskey Jesse Thon Leticia Rebello Dorothea Altschul Oriana Cornett Varsha Singh Jeyaraj Pandian Anirudh Kulkarni Pablo M Lavados Veronica V Olavarria Kenichi Todo Yuki Yamamoto Gisele Sampaio Silva Serdar Geyik Jasmine Johann Sumeet Multani Artem Kaliaev Kazutaka Sonoda Hiroyuki Hashimoto Adel Alhazzani David Y Chung Stephan A Mayer Johanna T Fifi Michael D Hill Hao Zhang Zhengzhou Yuan Xianjin Shang Alicia C Castonguay Rishi Gupta Tudor G Jovin Jean Raymond Osama O Zaidat Raul G Nogueira SVIN COVID-19 Registry,the Middle East North Africa Stroke and Interventional Neurotherapies Organization(MENA-SINO),Japanese Society of Vascular and Interventional Neurology Society(JVIN) | 2021 | Stroke & Vascular Neurology2021，6，4： | 0 |
| 7 | Erratum to:Influence of structural defects on charge density waves in 1T-TaS_(2)显示文摘The name of the second author in original paper was unfortunately misspelled.It should be“Karol Szalowski”,instead of“Karoli Szalowski”. | Iaroslav Lutsyk Karol Szalowski Pawel Krukowski Pawel Dabrowski Maciej Rogala Witold Kozlowski Maxime Le Ster Michal Piskorski Dorota A.Kowalczyk Wojciech Rys Rafal Dunal Aleksandra Nadolska Klaudia Toczek Przemyslaw Przybysz Ewa Lacinska Johannes Binder Andrzej Wysmolek Natalia Olszowska Jacek J.Kolodziej Martin Gmitra Takuma Hattori Yuji Kuwahara Guang Bian Tai-Chang Chiang Pawel J.Kowalczyk | 2024 | Nano Research2024，17，3： | 0 |
| 8 | Influence of structural defects on charge density waves in 1T-TaS_(2)显示文摘The influence of intrinsic defects of 1T-TaS_(2)on charge density waves(CDWs)is studied using scanning tunneling microscopy and spectroscopy(STM,STS),angle-resolved photoelectron spectroscopy(ARPES),and density functional theory(DFT).We identify several types of structural defects and find that most have a local character limited to a single CDW site,with a single exception which effectively behaves as a dopant,leading to band-bending and affecting multiple neighboring sites.While only one type of defect can be observed by STM topographic imaging,all defects are easily resolved in STS mapping.Our results indicate modulation of the Mott band gap commensurate with the CDW and breaking of the three-fold symmetry of electronic states.DFT calculations(with included Coulomb interactions)are used to investigate the electronic structure,focusing on both sulfur vacancy and oxygen-sulfur substitution.The sulfur vacancy system,characterized with a metallic behavior,is identified as the origin of one of the experimentally observed defects.Additionally,the effect of oxidation of 1T-TaS_(2)depends on the substitution site,leading to the heterogeneity of electronic properties. | Iaroslav Lutsyk Karol Szalowski Pawel Krukowski Pawel Dabrowski Maciej Rogala Witold Kozlowski Maxime Le Ster Michal Piskorski Dorota A.Kowalczyk Wojciech Rys Rafal Dunal Aleksandra Nadolska Klaudia Toczek Przemyslaw Przybysz Ewa Lacinska Johannes Binder Andrzej Wysmolek Natalia Olszowska Jacek J.Kolodziej Martin Gmitra Takuma Hattori Yuji Kuwahara Guang Bian Tai-Chang Chiang Pawel J.Kowalczyk | 2023 | Nano Research2023，16，8： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员