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| 1 | A historical literature review of coronary microvascular obstruction and intra-myocardial hemorrhage as functional/structural phenomena显示文摘The analysis of experimental data demonstrates that platelets and neutrophils are involved in the no-reflow phenomenon,also known as microvascular obstruction(MVO).However,studies performed in the isolated perfused hearts subjected to ischemia/reperfusion(I/R)do not suggest the involvement of microembolization and microthrombi in this phenomenon.The intracoronary administration of alteplase has been found to have no effect on the occurrence of MVO in patients with acute myocardial infarction.Consequently,the major events preceding the appearance of MVO in coronary arteries are independent of microthrombi,platelets,and neutrophils.Endothelial cells appear to be the target where ischemia can disrupt the endothelium-dependent vasodilation of coronary arteries.However,reperfusion triggers more pronounced damage,possibly mediated by pyroptosis.MVO and intra-myocardial hemorrhage contribute to the adverse post-infarction myocardial remodeling.Therefore,pharmacological agents used to treat MVO should prevent endothelial injury and induce relaxation of smooth muscles.Ischemic conditioning protocols have been shown to prevent MVO,with L-type Ca2+channel blockers appearing the most effective in treating MVO. | Leonid N.Maslov Natalia V.Naryzhnaya Sergey V.Popov Alexandr V.Mukhomedzyanov Ivan A.Derkachev Boris K.Kurbatov Andrey V.Krylatov Feng Fu Jianming Pei Vyacheslav V.Ryabov Evgenii V.Vyshlov Svetlana V.Gusakova Alla A.Boshchenko Akpay Sarybaev | 2023 | The Journal of Biomedical Research2023，37，4： | 2 |
| 2 | Measurement of the integrated luminosity of the Phase 2 data of the Belle Ⅱ experiment显示文摘From April to July 2018,a data sample at the peak energy of the T(4 S) resonance was collected with the Belle Ⅱ detector at the SuperKEKB electron-positron collider.This is the first data sample of the Belle Ⅱ experiment.Using Bhabha and digamma events,we measure the integrated luminosity of the data sample to be(496.3±0.3±3.0) pb-1,where the first uncertainty is statistical and the second is systematic.This work provides a basis for future luminosity measurements at Belle Ⅱ. | F.Abudinén I.Adachi P.Ahlburg H.Aihara N.Akopov A.Aloisio F.Ameli L.Andricek N.Anh Ky D.M.Asner H.Atmacan T.Aushev V.Aushev T.Aziz K.Azmi V.Babu S.Baehr S.Bahinipati A.M.Bakich P.Bambade Sw.Banerjee S.Bansal V.Bansal M.Barrett J.Baudot A.Beaulieu J.Becker P.K.Behera J.V.Bennett E.Bernieri F.U.Bernlochner M.Bertemes M.Bessner S.Bettarini V.Bhardwaj F.Bianchi T.Bilka S.Bilokin D.Biswas G.Bonvicini A.Bozek M.Bračko P.Branchini N.Braun T.E.Browder A.Budano S.Bussino M.Campajola L.Cao G.Casarosa C.Cecchi D.Červenkov M.-C.Chang P.Chang R.Cheaib V.Chekelian Y.Q.Chen Y.-T.Chen B.G.Cheon K.Chilikin H.-E.Cho K.Cho S.Cho S.-K.Choi S.Choudhury D.Cinabro L.Corona L.M.Cremaldi S.Cunliffe T.Czank F.Dattola E.De La Cruz-Burelo G.De Nardo M.De Nuccio G.De Pietro R.de Sangro M.Destefanis S.Dey A.De Yta-Hernandez F.Di Capua S.Di Carlo J.Dingfelder Z.Doležal I.Domínguez Jiménez T.V.Dong K.Dort S.Dubey S.Duell S.Eidelman M.Eliachevitch T.Ferber D.Ferlewicz G.Finocchiaro S.Fiore A.Fodor F.Forti A.Frey B.G.Fulsom M.Gabriel E.Ganiev M.Garcia-Hernandez R.Garg A.Garmash V.Gaur A.Gaz U.Gebauer A.Gellrich J.Gemmler T.Geßler R.Giordano A.Giri B.Gobbo R.Godang P.Goldenzweig B.Golob P.Gomis P.Grace W.Gradl E.Graziani D.Greenwald C.Hadjivasiliou S.Halder K.Hara T.Hara O.Hartbrich K.Hayasaka H.Hayashii C.Hearty M.T.Hedges I.Heredia de la Cruz M.Hernández Villanueva A.Hershenhorn T.Higuchi E.C.Hill H.Hirata M.Hoek S.Hollitt T.Hotta C.-L.Hsu Y.Hu K.Huang T.Iijima K.Inami G.Inguglia J.Irakkathil Jabbar A.Ishikawa R.Itoh M.Iwasaki Y.Iwasaki S.Iwata P.Jackson W.W.Jacobs D.E.Jaffe E.-J.Jang H.B.Jeon S.Jia Y.Jin C.Joo J.Kahn H.Kakuno A.B.Kaliyar G.Karyan Y.Kato T.Kawasaki H.Kichimi C.Kiesling B.H.Kim C.-H.Kim D.Y.Kim S.-H.Kim Y.K.Kim Y.Kim T.D.Kimmel K.Kinoshita C.Kleinwort B.Knysh P.Kodyš T.Koga I.Komarov T.Konno S.Korpar D.Kotchetkov N.Kovalchuk T.M.G.Kraetzschmar P.Križan R.Kroeger J.F.Krohn P.Krokovny W.Kuehn T.Kuhr M.Kumar R.Kumar K.Kumara S.Kurz A.Kuzmin Y.-J.Kwon S.Lacaprara Y.-T.Lai C.La Licata K.Lalwani L.Lanceri J.S.Lange K.Lautenbach I.-S.Lee S.C.Lee P.Leitl D.Levit P.M.Lewis C.Li L.K.Li S.X.Li Y.M.Li Y.B.Li J.Libby K.Lieret L.Li Gioi J.Lin Z.Liptak Q.Y.Liu D.Liventsev S.Longo A.Loos F.Luetticke T.Luo C.MacQueen Y.Maeda M.Maggiora S.Maity E.Manoni S.Marcello C.Marinas A.Martini M.Masuda K.Matsuoka D.Matvienko J.McNeil J.C.Mei F.Meier M.Merola F.Metzner M.Milesi C.Miller K.Miyabayashi H.Miyata R.Mizuk G.B.Mohanty H.Moon T.Morii H.-G.Moser F.Mueller F.J.Müller Th.Muller R.Mussa K.R.Nakamura E.Nakano M.Nakao H.Nakayama H.Nakazawa M.Nayak G.Nazaryan D.Neverov M.Niiyama N.K.Nisar S.Nishida K.Nishimura M.Nishimura M.H.A.Nouxman B.Oberhof S.Ogawa Y.Onishchuk H.Ono Y.Onuki P.Oskin H.Ozaki P.Pakhlov G.Pakhlova A.Paladino T.Pang E.Paoloni H.Park S.-H.Park B.Paschen A.Passeri S.Patra S.Paul T.K.Pedlar I.Peruzzi R.Peschke R.Pestotnik M.Piccolo L.E.Piilonen P.L.M.Podesta-Lerma V.Popov C.Praz E.Prencipe M.T.Prim M.V.Purohit P.Rados M.Remnev P.K.Resmi I.Ripp-Baudot M.Ritter M.Ritzert G.Rizzo L.B.Rizzuto S.H.Robertson D.Rodríguez Pérez J.M.Roney C.Rosenfeld A.Rostomyan N.Rout G.Russo D.Sahoo Y.Sakai D.A.Sanders S.Sandilya A.Sangal L.Santelj P.Sartori Y.Sato V.Savinov B.Scavino M.Schram H.Schreeck J.Schueler C.Schwanda A.J.Schwartz B.Schwenker R.M.Seddon Y.Seino A.Selce K.Senyo M.E.Sevior C.Sfienti C.P.Shen H.Shibuya J.-G.Shiu A.Sibidanov F.Simon S.Skambraks R.J.Sobie A.Soffer A.Sokolov E.Solovieva S.Spataro B.Spruck M.Starič S.Stefkova Z.S.Stottler R.Stroili J.Strube M.Sumihama T.Sumiyoshi D.J.Summers W.Sutcliffe M.Tabata M.Takizawa U.Tamponi S.Tanaka K.Tanida H.Tanigawa N.Taniguchi Y.Tao P.Taras F.Tenchini E.Torassa K.Trabelsi T.Tsuboyama N.Tsuzuki M.Uchida I.Ueda S.Uehara T.Uglov K.Unger Y.Unno S.Uno P.Urquijo Y.Ushiroda S.E.Vahsen R.van Tonder G.S.Varner K.E.Varvell A.Vinokurova L.Vitale A.Vossen E.Waheed H.M.Wakeling K.Wan W.Wan Abdullah B.Wang M.-Z.Wang X.L.Wang A.Warburton M.Watanabe S.Watanuki J.Webb S.Wehle N.Wermes C.Wessel J.Wiechczynski P.Wieduwilt H.Windel E.Won S.Yamada W.Yan S.B.Yang H.Ye J.Yelton J.H.Yin M.Yonenaga Y.M.Yook C.Z.Yuan Y.Yusa L.Zani J.Z.Zhang Z.Zhang V.Zhilich Q.D.Zhou X.Y.Zhou V.I.Zhukova V.Zhulanov A.Zupanc | 2020 | Chinese Physics C2020，44，2： | 2 |
| 3 | Pyroptosis is a drug target for prevention of adverse cardiac remodeling: The crosstalk between pyroptosis, apoptosis, and autophagy显示文摘Acute myocardial infarction(AMI)is one of the main reasons of cardiovascular disease-related death.The introduction of percutaneous coronary intervention to clinical practice dramatically decreased the mortality rate in AMI.Adverse cardiac remodeling is a serious problem in cardiology.An increase in the effectiveness of AMI treatment and prevention of adverse cardiac remodeling is difficult to achieve without understanding the mechanisms of reperfusion cardiac injury and cardiac remodeling.Inhibition of pyroptosis prevents the development of postinfarction and pressure overload-induced cardiac remodeling,and mitigates cardiomyopathy induced by diabetes and metabolic syndrome.Therefore,it is reasonable to hypothesize that the pyroptosis inhibitors may find a role in clinical practice for treatment of AMI and prevention of cardiac remodeling,diabetes and metabolic syndrome-triggered cardiomyopathy.It was demonstrated that pyroptosis interacts closely with apoptosis and autophagy.Pyroptosis could be inhibited by nucleotide-binding oligomerization domain-like receptor with a pyrin domain 3 inhibitors,caspase-1 inhibitors,microRNA,angiotensin-converting enzyme inhibitors,angiotensinⅡreceptor blockers,and traditional Chinese herbal medicines. | Natalia V.Naryzhnaya Leonid N.Maslov Sergey V.Popov Alexandr V.Mukhomezyanov Vyacheslav V.Ryabov Boris K.Kurbatov Alexandra E.Gombozhapova Nirmal Singh Feng Fu Jian-Ming Pei Sergey V.Logvinov | 2022 | The Journal of Biomedical Research2022，36，6： | 1 |
| 4 | Recent Russian remote sensing investigations in Antarctica within the framework of scientific traverses显示文摘This paper includes a short historical review of Russian and Soviet scientific traverses to study the Antarctic inland. The first traverse left on April 2, 1956. It resulted in the opening of the first Russian inland research station named Pionerskaya and provided the first geophysical and glaciological data on regions inland of the Antarctic coast. By 1965, a number of regional inland scientific traverses had been completed and the first Atlas of Antarctica was published in 1966. The atlas presented the main achievements of that time. After the discovery of Lake Vostok, Russian scientists commenced remote sensing investigations to study this unique natural phenomenon. The propagation of acoustic and electromagnetic waves in the glacier near Vostok Station were measured to provide important geophysical data. Radio-echo sounding data showed that Lake Vostok is isolated and separated from the rest of the Antarctic subglacial hydrosphere. The total area of the lake is 15 790 km2, excluding 365 km2 occupied by 11 islands. Reflection seismic soundings of Lake Vostok estimated a total volume of about 6 100 km3, an average depth of about 400 m, and a maximum depth of 1 200 m. Since 2008, there have been a number of scientific traverses between Mirny and Vostok stations and between Progress and Vostok stations. The data collected during the traverses have provided new insights into sub-ice topography and ice sheet structure, and have led to the discovery of subglacial lakes near Komsomolskaya Station and under Pionerskaya Station. | Sergey V.Popov | 2015 | Advances in Polar Science2015，26，2： | 0 |
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