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| 1 | 醌氧化还原酶1抑制剂双香豆素促进HBV X蛋白降解进而抑制cccDNA转录的机制研究显示文摘【据Journal of Hepatology2021年3月报道】题:醌氧化还原酶1抑制剂双香豆素促进HBV X蛋白降解进而抑制ccc DNA转录的机制研究(作者Cheng ST等)HBV ccc DNA在肝细胞核内持续稳定的存在,被认为是HBV感染慢性化、抗病毒治疗无法彻底清除以及停药后肝炎复发的最主要原因。HBV X蛋白(HBx)对HBV ccc DNA的转录过程发挥关键作用;促进HBx降解,则可能抑制ccc DNA转录。因此,开发靶向HBx的小分子化合物是达到'ccc DNA沉默清除'这一重要目标的可能途径。 | 陈娟 黄爱龙 CHENG ST HU JL REN JH | 2021 | 临床肝胆病杂志2021，37，4： | 12 |
| 2 | Exercise training in hypertension:Role of microRNAs显示文摘Hypertension is a complex disease that constitutes an important public health problem and demands many studies in order to understand the molecular mechanisms involving his pathophysiology. Therefore, an increasing number of studies have been conducted and new therapies are continually being discovered. In this context, exercise training has emerged as an important non-pharmacological therapy to treat hypertensive patients, minimizing the side effects of pharmacological therapies and frequently contributing to allow pharmacotherapy to be suspended. Several mechanisms have been associated with the pathogenesis of hypertension, such as hyperactivity of the sympathetic nervous system and renin-angiotensin aldosterone system,impaired endothelial nitric oxide production, increased oxygen-reactive species, vascular thickening and stiffening, cardiac hypertrophy, impaired angiogenesis, and sometimes genetic predisposition. With the advent of microRNAs(miRNAs), new insights have been added to the perspectives for the treatment of this disease, and exercise training has been shown to be able to modulate the miRNAs associated with it. Elucidation of the relationship between exercise training and miRNAs in the pathogenesis of hypertension is fundamental in order to understand how exercise modulates the cardiovascular system at genetic level. This can be promising even for the development of new drugs. This article is a review of how exercise training acts on hypertension by means of specific miRNAs in the heart, vascular system, and skeletal muscle. | Vander Josédas Neves Tiago Fernandes Fernanda Roberta Roque Ursula Paula RenóSoci Stéphano Freitas Soares Melo Edilamar Menezes de Oliveira | 2014 | World Journal of Cardiology2014，6，8： | 9 |
| 3 | Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors显示文摘Background: The increasing availability of remotely sensed data has recently challenged the traditional way of performing forest inventories, and induced an interest in model-based inference. Like traditional design-based inference, model-based inference allows for regional estimates of totals and means, but in addition for wall-to-wall mapping of forest characteristics. Recently Light Detection and Ranging(LiDAR)-based maps of forest attributes have been developed in many countries and been well received by users due to their accurate spatial representation of forest resources. However, the correspondence between such mapping and model-based inference is seldom appreciated. In this study we applied hierarchical model-based inference to produce aboveground biomass maps as well as maps of the corresponding prediction uncertainties with the same spatial resolution. Further, an estimator of mean biomass at regional level, and its uncertainty, was developed to demonstrate how mapping and regional level assessment can be combined within the framework of model-based inference.Results: Through a new version of hierarchical model-based estimation, allowing models to be nonlinear, we accounted for uncertainties in both the individual tree-level biomass models and the models linking plot level biomass predictions with LiDAR metrics. In a 5005 km2 large study area in south-central Sweden the predicted aboveground biomass at the level of 18 m×18 m map units was found to range between 9 and 447 Mg·ha^-1. The corresponding root mean square errors ranged between 10 and 162 Mg·ha^-1. For the entire study region, the mean aboveground biomass was 55 Mg·ha^-1 and the corresponding relative root mean square error 8%. At this level 75%of the mean square error was due to the uncertainty associated with tree-level models.Conclusions: Through the proposed method it is possible to link mapping and estimation within the framework of model-based inference. Uncertainties in both tree-level biomass models and models linking plot level biomass with LiDAR data are accounted for, both for the uncertainty maps and the overall estimates. The development of hierarchical model-based inference to handle nonlinear models was an important prerequisite for the study. | Svetlana Saarela AndréWästlund Emma Holmström Alex Appiah Mensah Sören Holm Mats Nilsson Jonas Fridman Göran Ståhl | 2020 | Forest Ecosystems2020，7，3： | 3 |
| 4 | Inflammatory bowel disease in spouses and their offspring显示文摘 | David Laharie Stéphane Debeugny Marc Peeters André Van Gossum Corinne Gower-Rousseau Jacques Bélahe René Fiasse Jean-Louis Dupas Eric Lerebours Sandrine Piotte Antoine Cortot Séverine Vermeire Bruno Grandbastien Jean-Frédéric Colombel | 2001 | Gastroenterology2001，，： | 1 |
| 5 | Cyclic RGD peptide by ring-closing metathesis显示文摘 | Bijani Christian Varray Stéphane Lazaro René | 2002 | Tetrahedron Letters2002，，43： | 1 |
| 6 | Tumour biology of colorectal liver metastasis is a more important factor in survival than surgical margin clearance in the era of modern chemotherapy regimens显示文摘 | Stéphanie Truant Cédric Séquier Emmanuelle Leteurtre Emmanuel Boleslawski Mehdi Elamrani Guillemette Huet Alain Duhamel Mohamed Hebbar Fran?ois‐René Pruvot | 2015 | HPB2015，，2： | 1 |
| 7 | Thrombolytie effects of a combined therapy with targeted microbubbles and ultrasound in a 6 h cerebral thrombosis rabbit model显示文摘 | Ren ST Long LH Wang M | 2012 | J Thromh Thrombolysis2012，33，1： | 1 |
| 8 | Muhidetector CT in identification of an anomalous left main coronary artery and a small septal branch显示文摘 | Lattin G E Jr OBrien W T St Ren X | 2006 | Eur J Radiol Extra2006，57，1： | 1 |
| 9 | The Proteome of Seed Development in the Model Legume Lotus japonicus1[W]显示文摘 | Dam Svend Laursen Brian S ?rnfelt Jane H Jochimsen Bjarne St?rfeldt Hans Henrik Friis Carsten Nielsen Kasper Goffard Nicolas Besenbacher S?ren Krusell Lene Sato Shusei Tabata Satoshi Th?gersen Ida B Enghild Jan J Stougaard Jens | 2009 | Plant Physiology2009，，3： | 1 |
| 10 | Hepatic resection for post‐cholecystectomy bile duct injuries: a literature review显示文摘 | StéphanieTruant EmmanuelBoleslawski GillesLebuffe GéraldineSergent Fran?ois‐RenéPruvot | 2010 | HPB2010，，5： | 1 |
| 11 | Cementitious backfill with high sulfur content Physical, chemical, and mineralogical characterization显示文摘 | Mostafa Benzaazoua Jacques Ouellet Stéphane Servant Phil Newman Rens Verburg | 1999 | Cement and Concrete Research1999，，5： | 1 |
| 12 | Quartz grain size reduction in a granitoid rock and the transition from dislocation to diffusion creep显示文摘 | Rüdiger Kilian Renée Heilbronner Holger Stünitz | 2011 | Journal of Structural Geology2011，，8： | 1 |
| 13 | Hepatitis B virus (HBV) virion and covalently closed circular DNA formation in primary tupaia hepatocytes and human hepatoma cell lines upon HBV genome transduction with replication defective adenovirus vectors 显示文摘 | Ren ST Nassal M | 2001 | J Virol2001，75，3： | 1 |
| 14 | Thrombolyticeffects of a combined therapy with targetedmicrobubbles and ultrasound in a 6h cerebralthrombosis rabbit model显示文摘 | Ren ST Long LH Wang M | 2012 | J Thromb Thrombolysis2012，33，： | 1 |
| 15 | Localized necking in thin sheets显示文摘 | St?ren S Rice J | 1975 | Journal of the Mechanics and Physics of Solid1975，23，6： | 1 |
| 16 | Effects of calcitonin gene-related peptide on somatostatin and gastrin gene expression in rat antrum 显示文摘 | Ren J Duma ST | 1998 | Regul Pept1998，73，2： | 1 |
| 17 | Fungal infections after liver transplantation: outcomes and risk factors revisited in the MELD era显示文摘 | Faouzi Saliba Valérie Delvart Philippe Icha? Najiby Kassis Fran?oise Botterel Liliana Mihaila Daniel Azoulay René Adam Denis Castaing Stéphane Bretagne Didier Samuel | 2013 | Clin Transplant2013，，4： | 1 |
| 18 | Localized necking in thin sheets显示文摘 | ST REN S RICE J R | 1975 | Journal of the Mechanics and Physics Solids1975，23，6： | 1 |
| 19 | The preparation of a new self- made microbubble-loading urokinase and its thrombolysis combined with low-frequency ultrasound in vitro 显示文摘 | Ren ST Zhang H Wang YW | 2011 | Ultrasound Med Biol2011，37，： | 1 |
| 20 | Fungal diversity notes 1512–1610: taxonomic and phylogenetic contributions on genera and species of fungal taxa显示文摘This article is the 14th in the Fungal Diversity Notes series,wherein we report 98 taxa distributed in two phyla,seven classes,26 orders and 50 families which are described and illustrated.Taxa in this study were collected from Australia,Brazil,Burkina Faso,Chile,China,Cyprus,Egypt,France,French Guiana,India,Indonesia,Italy,Laos,Mexico,Russia,Sri Lanka,Thailand,and Vietnam.There are 59 new taxa,39 new hosts and new geographical distributions with one new combination.The 59 new species comprise Angustimassarina kunmingense,Asterina lopi,Asterina brigadeirensis,Bartalinia bidenticola,Bartalinia caryotae,Buellia pruinocalcarea,Coltricia insularis,Colletotrichum fexuosum,Colletotrichum thasutense,Coniochaeta caraganae,Coniothyrium yuccicola,Dematipyriforma aquatic,Dematipyriforma globispora,Dematipyriforma nilotica,Distoseptispora bambusicola,Fulvifomes jawadhuvensis,Fulvifomes malaiyanurensis,Fulvifomes thiruvannamalaiensis,Fusarium purpurea,Gerronema atrovirens,Gerronema favum,Gerronema keralense,Gerronema kuruvense,Grammothele taiwanensis,Hongkongmyces changchunensis,Hypoxylon inaequale,Kirschsteiniothelia acutisporum,Kirschsteiniothelia crustaceum,Kirschsteiniothelia extensum,Kirschsteiniothelia septemseptatum,Kirschsteiniothelia spatiosum,Lecanora immersocalcarea,Lepiota subthailandica,Lindgomyces guizhouensis,Marthe asmius pallidoaurantiacus,Marasmius tangerinus,Neovaginatispora mangiferae,Pararamichloridium aquisubtropicum,Pestalotiopsis piraubensis,Phacidium chinaum,Phaeoisaria goiasensis,Phaeoseptum thailandicum,Pleurothecium aquisubtropicum,Pseudocercospora vernoniae,Pyrenophora verruculosa,Rhachomyces cruralis,Rhachomyces hyperommae,Rhachomyces magrinii,Rhachomyces platyprosophi,Rhizomarasmius cunninghamietorum,Skeletocutis cangshanensis,Skeletocutis subchrysella,Sporisorium anadelphiae-leptocomae,Tetraploa dashaoensis,Tomentella exiguelata,Tomentella fuscoaraneosa,Tricholomopsis lechatii,Vaginatispora favispora and Wetmoreana blastidiocalcarea.The new combination is Torula sundara.The 39 new records on hosts and geographical distribution comprise Apiospora guiyangensis,Aplosporella artocarpi,Ascochyta medicaginicola,Astrocystis bambusicola,Athelia rolfsii,Bambusicola bambusae,Bipolaris luttrellii,Botryosphaeria dothidea,Chlorophyllum squamulosum,Colletotrichum aeschynomenes,Colletotrichum pandanicola,Coprinopsis cinerea,Corylicola italica,Curvularia alcornii,Curvularia senegalensis,Diaporthe foeniculina,Diaporthe longicolla,Diaporthe phaseolorum,Diatrypella quercina,Fusarium brachygibbosum,Helicoma aquaticum,Lepiota metulispora,Lepiota pongduadensis,Lepiota subvenenata,Melanconiella meridionalis,Monotosporella erecta,Nodulosphaeria digitalis,Palmiascoma gregariascomum,Periconia byssoides,Periconia cortaderiae,Pleopunctum ellipsoideum,Psilocybe keralensis,Scedosporium apiospermum,Scedosporium dehoogii,Scedosporium marina,Spegazzinia deightonii,Torula fci,Wiesneriomyces laurinus and Xylaria venosula.All these taxa are supported by morphological and multigene phylogenetic analyses.This article allows the researchers to publish fungal collections which areimportant for future studies.An updated,accurate and timely report of fungus-host and fungus-geography is important.We also provide an updated list of fungal taxa published in the previous fungal diversity notes.In this list,erroneous taxa and synonyms are marked and corrected accordingly. | Ruvishika S.Jayawardena Kevin D.Hyde Song Wang Ya‑Ru Sun Nakarin Suwannarach Phongeun Sysouphanthong Mohamed A.Abdel‑Wahab Faten A.Abdel‑Aziz Pranami D.Abeywickrama Vanessa P.Abreu Alireza Armand AndréAptroot Dan‑Feng Bao Dominik Begerow Jean‑Michel Bellanger Jadson D.P.Bezerra Digvijayini Bundhun Mark S.Calabon Ting Cao Taimy Cantillo João LVRCarvalho Napalai Chaiwan Che‑Chih Chen Régis Courtecuisse Bao‑Kai Cui Ulrike Damm Cvetomir M.Denchev Teodor T.Denchev Chun Y.Deng Bandarupalli Devadatha Nimali Ide Silva Lidiane Ados Santos Nawal K.Dubey Sylvain Dumez Himashi SFerdinandez André L.Firmino Yusufon Gaforov Achala J.Gajanayake Deecksha Gomdola Sugantha Gunaseelan Shucheng‑He Zin H.Htet Malarvizhi Kaliyaperumal Martin Kemler Kezhocuyi Kezo Nuwan DKularathnage Marco Leonardi Ji‑Peng Li Chunfang Liao Shun Liu Michael Loizides Thatsanee Luangharn Jian Ma Hugo Madrid S.Mahadevakumar Sajeewa S.N.Maharachchikumbura Dimuthu S.Manamgoda María P.Martín Niranjan Mekala Pierre‑Arthur Moreau Yan‑Hong Mu Pasouvang Pahoua Dhandevi Pem Olinto L.Pereira Wiphawanee Phonrob Chayanard Phukhamsakda Mubashar Raza Guang‑Cong Ren Andrea C.Rinaldi Walter Rossi Binu C.Samarakoon Milan CSamarakoon Vemuri V.Sarma Indunil C.Senanayake Archana Singh Maria F.Souza Cristina M.Souza‑Motta Adriano A.Spielmann Wenxin Su Xia Tang XingGuo Tian Kasun M.Thambugala Naritsada Thongklang Danushka S.Tennakoon Nopparat Wannathes DingPeng Wei Stéphane Welti Subodini N.Wijesinghe Hongde Yang Yunhui Yang Hai‑Sheng Yuan Huang Zhang Jingyi Zhang Abhaya Balasuriya Chitrabhanu SBhunjun Timur S.Bulgakov Lei Cai Erio Camporesi Putarak Chomnunti Y.S.Deepika Mingkwan Doilom Wei‑Jun Duan Shi‑Ling Han Naruemon Huanraluek EBGareth Jones NLakshmidevi Yu Li Saisamorn Lumyong Zong‑Long Luo Surapong Khuna Jaturong Kumla Ishara S.Manawasinghe Ausana Mapook Wilawan Punyaboon Saowaluck Tibpromma Yong‑Zhong Lu JiYe Yan Yong Wang | 2022 | Fungal Diversity2022，，6： | 0 |
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