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Acharya S, Adamová D, Adler A, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akindinov A, Al-Turany M, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alocco G, Alt T, Altsybeev I, Anaam MN, Andrei C, Andronic A, Anguelov V, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi MD, Badalà A, Baek YW, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Banerjee D, Banoo Z, Barbera R, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Barreto L, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Battistini D, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Becht P, Behera D, Belikov I, Bell Hechavarria ADC, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat IR, Bhat MA, Bhattacharjee B, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bilandzic A, Biro G, Biswas S, Blair JT, Blau D, Blidaru MB, Bluhme N, Blume C, Boca G, Bock F, Bodova T, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Butt JB, Bylinkin A, Bysiak SA, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camacho RS, Camerini P, Canedo FDM, Carabas M, Carnesecchi F, Caron R, Castillo Castellanos J, Catalano F, Ceballos Sanchez C, Chakaberia I, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chavez TG, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Chizzali ES, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Ciacco M, Cicalo C, Cifarelli L, Cindolo F, Ciupek MR, Clai G, Colamaria F, Colburn JS, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Cunqueiro L, Dainese A, Danisch MC, Danu A, Das P, Das P, Das S, Dash S, De Caro A, de Cataldo G, De Cilladi L, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Degenhardt HF, Deja KR, Del Grande R, Dello Stritto L, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dubey AK, Dubinski JM, Dubla A, Dudi S, Dupieux P, Durkac M, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Erokhin A, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fan W, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrer MB, Ferrero A, Ferretti A, Feuillard VJG, Figiel J, Filova V, Finogeev D, Fiorenza G, Flor F, Flores AN, Foertsch S, Fokin I, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Gaardhøje JJ, Gagliardi M, Gago AM, Gal A, Galvan CD, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gauger EF, Gautam A, Gay Ducati MB, Germain M, Ghosh SK, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Glimos E, Goh DJQ, Gonzalez V, González-Trueba LH, Gorbunov S, Gorgon M, Görlich L, Gotovac S, Grabski V, Graczykowski LK, Grecka E, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Grosa F, Grosse-Oetringhaus JF, Grosso R, Grund D, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gunji T, Guo W, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Hamagaki H, Hamid M, Han Y, Hannigan R, Haque MR, Harlenderova A, Harris JW, Harton A, Hasenbichler JA, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Heckel ST, Hellbär E, Helstrup H, Herman T, Herrera Corral G, Herrmann F, Hetland KF, Heybeck B, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Honermann J, Hong GH, Horak D, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Huhta LM, Hulse CV, Humanic TJ, Hushnud H, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Isidori T, Islam MS, Ivanov M, Ivanov V, Izucheev V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaffe L, Jahnke C, Janik MA, Janson T, Jercic M, Jevons O, Jimenez AAP, Jonas F, Jones PG, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kabus MJ, Kaewjai J, Kalinak P, Kalteyer AS, Kalweit A, Kaplin V, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kashyap V, Kazantsev A, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Kotliarov A, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova DM, Kryshen E, Krzewicki M, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lehrbach J, Lemmon RC, León Monzón I, Lesch MM, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu DH, Liu J, Lofnes IM, Loginov V, Loizides C, Loncar P, Lopez JA, Lopez X, López Torres E, Lu P, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Malaev M, Malik NM, Malik QW, Malik SK, Malinina L, Mal'Kevich D, Mallick D, Mallick N, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Margagliotti GV, Margotti A, Marín A, Markert C, Marquard M, Martin NA, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis AM, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mdhluli JE, Mechler AF, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Mohisin Khan M, Molander MA, Moravcova Z, Mordasini C, Moreira De Godoy DA, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nair R, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Nayak TK, Neagu A, Negru A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nielsen EG, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Oskarsson A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Panebianco S, Park J, Parkkila JE, Pathak SP, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pereira LG, Pereira Da Costa H, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrov V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Prasad SK, Prasad S, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Rancien TA, Raniwala R, Raniwala S, Räsänen SS, Rath R, Ravasenga I, Read KF, Redelbach AR, Redlich K, Rehman A, Reichelt P, Reidt F, Reme-Ness HA, Rescakova Z, Reygers K, Riabov A, Riabov V, Ricci R, Richert T, Richter M, Riegler W, Riggi F, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Ronchetti F, Rosano A, Rosas ED, Rossi A, Roy A, Roy P, Roy S, Rubini N, Rueda OV, Ruggiano D, Rui R, Rumyantsev B, Russek PG, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sakai S, Salvan MP, Sambyal S, Saramela TB, Sarkar D, Sarkar N, Sarma P, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schukraft J, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma D, Sharma H, Sharma M, Sharma N, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simonetti G, Singh B, Singh B, Singh R, Singh R, Singh R, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Solheim EH, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Spijkers R, Sputowska I, Staa J, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Storetvedt MM, Stratmann P, Strazzi S, Stylianidis CP, Suaide AAP, Suire C, Sukhanov M, Suljic M, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tapus N, Tarasovicova LA, Tarzila MG, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tieulent R, Tikhonov A, Timmins AR, Tkacik M, Tkacik T, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres Ramos AG, Trifiró A, Triolo AS, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska WH, Trzcinski TP, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Ulukutlu B, Uras A, Urioni M, Usai GL, Vala M, Valle N, Vallero S, van Doremalen LVR, van Leeuwen M, van Veen CA, van Weelden RJG, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wagner B, Wang C, Wang D, Weber M, Wegrzynek A, Weiglhofer FT, Wenzel SC, Wessels JP, Weyhmiller SL, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Wright JR, Wu W, Wu Y, Xu R, Yadav AK, Yalcin S, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanoli HJC, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang S, Zhang X, Zhang Y, Zhao M, Zherebchevskii V, Zhi Y, Zhigareva N, Zhou D, Zhou Y, Zhu J, Zhu Y, Zinovjev G, Zurlo N. First Measurement of Antideuteron Number Fluctuations at Energies Available at the Large Hadron Collider. PHYSICAL REVIEW LETTERS 2023; 131:041901. [PMID: 37566856 DOI: 10.1103/physrevlett.131.041901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/01/2022] [Accepted: 09/15/2022] [Indexed: 08/13/2023]
Abstract
The first measurement of event-by-event antideuteron number fluctuations in high energy heavy-ion collisions is presented. The measurements are carried out at midrapidity (|η|<0.8) as a function of collision centrality in Pb-Pb collisions at sqrt[s_{NN}]=5.02 TeV using the ALICE detector. A significant negative correlation between the produced antiprotons and antideuterons is observed in all collision centralities. The results are compared with a state-of-the-art coalescence calculation. While it describes the ratio of higher order cumulants of the antideuteron multiplicity distribution, it fails to describe quantitatively the magnitude of the correlation between antiproton and antideuteron production. On the other hand, thermal-statistical model calculations describe all the measured observables within uncertainties only for correlation volumes that are different with respect to those describing proton yields and a similar measurement of net-proton number fluctuations.
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Acharya S, Adamová D, Adler A, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn SU, Ahuja I, Akindinov A, Al-Turany M, Aleksandrov D, Alessandro B, Alfanda HM, Alfaro Molina R, Ali B, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alocco G, Alt T, Altsybeev I, Anaam MN, Andrei C, Andronic A, Anguelov V, Antinori F, Antonioli P, Apadula N, Aphecetche L, Appelshäuser H, Arata C, Arcelli S, Aresti M, Arnaldi R, Arneiro JGMCA, Arsene IC, Arslandok M, Augustinus A, Averbeck R, Azmi MD, Badalà A, Bae J, Baek YW, Bai X, Bailhache R, Bailung Y, Balbino A, Baldisseri A, Balis B, Banerjee D, Banoo Z, Barbera R, Barile F, Barioglio L, Barlou M, Barnaföldi GG, Barnby LS, Barret V, Barreto L, Bartels C, Barth K, Bartsch E, Bastid N, Basu S, Batigne G, Battistini D, Batyunya B, Bauri D, Bazo Alba JL, Bearden IG, Beattie C, Becht P, Behera D, Belikov I, Bell Hechavarria ADC, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu MG, Betev L, Bhaduri PP, Bhasin A, Bhat MA, Bhattacharjee B, Bianchi L, Bianchi N, Bielčík J, Bielčíková J, Biernat J, Bigot AP, Bilandzic A, Biro G, Biswas S, Bize N, Blair JT, Blau D, Blidaru MB, Bluhme N, Blume C, Boca G, Bock F, Bodova T, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond PM, Bonomi G, Borel H, Borissov A, Borquez Carcamo AG, Bossi H, Botta E, Bouziani YEM, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno GE, Buckland MD, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Bysiak SA, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho JMM, Camerini P, Canedo FDM, Carabas M, Carballo AA, Carnesecchi F, Caron R, Carvalho LAD, Castillo Castellanos J, Catalano F, Ceballos Sanchez C, Chakaberia I, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chavez TG, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato DD, Chizzali ES, Cho J, Cho S, Chochula P, Christakoglou P, Christensen CH, Christiansen P, Chujo T, Ciacco M, Cicalo C, Cindolo F, Ciupek MR, Clai G, Colamaria F, Colburn JS, Colella D, Colocci M, Concas M, Conesa Balbastre G, Conesa Del Valle Z, Contin G, Contreras JG, Coquet ML, Cormier TM, Cortese P, Cosentino MR, Costa F, Costanza S, Cot C, Crkovská J, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Dainese A, Danisch MC, Danu A, Das P, Das P, Das S, Dash AR, Dash S, David RMH, De Caro A, de Cataldo G, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Debski RJ, Deja KR, Del Grande R, Dello Stritto L, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz RA, Dietel T, Ding Y, Divià R, Dixit DU, Djuvsland Ø, Dmitrieva U, Dobrin A, Dönigus B, Dubinski JM, Dubla A, Dudi S, Dupieux P, Durkac M, Dzalaiova N, Eder TM, Ehlers RJ, Eikeland VN, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Ersdal MR, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fan W, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrandi L, Ferrer MB, Ferrero A, Ferrero C, Ferretti A, Feuillard VJG, Filova V, Finogeev D, Fionda FM, Flor F, Flores AN, Foertsch S, Fokin I, Fokin S, Fragiacomo E, Frajna E, Fuchs U, Funicello N, Furget C, Furs A, Fusayasu T, Gaardhøje JJ, Gagliardi M, Gago AM, Galvan CD, Gangadharan DR, Ganoti P, Garabatos C, Garcia JRA, Garcia-Solis E, Garg K, Gargiulo C, Garner K, Gasik P, Gautam A, Gay Ducati MB, Germain M, Ghimouz A, Ghosh C, Giacalone M, Giubellino P, Giubilato P, Glaenzer AMC, Glässel P, Glimos E, Goh DJQ, Gonzalez V, González-Trueba LH, Gorgon M, Gotovac S, Grabski V, Graczykowski LK, Grecka E, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Grosa F, Grosse-Oetringhaus JF, Grosso R, Grund D, Guardiano GG, Guernane R, Guilbaud M, Gulbrandsen K, Gundem T, Gunji T, Guo W, Gupta A, Gupta R, Guzman SP, Gyulai L, Habib MK, Hadjidakis C, Haider FU, Hamagaki H, Hamdi A, Hamid M, Han Y, Hannigan R, Haque MR, Harris JW, Harton A, Hassan H, Hatzifotiadou D, Hauer P, Havener LB, Heckel ST, Hellbär E, Helstrup H, Hemmer M, Herman T, Herrera Corral G, Herrmann F, Herrmann S, Hetland KF, Heybeck B, Hillemanns H, Hills C, Hippolyte B, Hoffmann FW, Hofman B, Hohlweger B, Hong GH, Horst M, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Huhta LM, Hulse CV, Humanic TJ, Hutson A, Hutter D, Iddon JP, Ilkaev R, Ilyas H, Inaba M, Innocenti GM, Ippolitov M, Isakov A, Isidori T, Islam MS, Ivanov M, Ivanov M, Ivanov V, Jablonski M, Jacak B, Jacazio N, Jacobs PM, Jadlovska S, Jadlovsky J, Jaelani S, Jaffe L, Jahnke C, Jakubowska MJ, Janik MA, Janson T, Jercic M, Jia S, Jimenez AAP, Jonas F, Jowett JM, Jung J, Jung M, Junique A, Jusko A, Kabus MJ, Kaewjai J, Kalinak P, Kalteyer AS, Kalweit A, Kaplin V, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kebschull U, Keidel R, Keijdener DLD, Keil M, Ketzer B, Khan AM, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kidson MB, Kileng B, Kim B, Kim C, Kim DJ, Kim EJ, Kim J, Kim JS, Kim J, Kim M, Kim S, Kim T, Kimura K, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski JP, Klay JL, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe AG, Kobdaj C, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer SA, Konopka PJ, Kornakov G, Koryciak SD, Kotliarov A, Kovalenko V, Kowalski M, Kozhuharov V, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova DM, Kryshen E, Kučera V, Kuhn C, Kuijer PG, Kumaoka T, Kumar D, Kumar L, Kumar N, Kumar S, Kundu S, Kurashvili P, Kurepin A, Kurepin AB, Kuryakin A, Kushpil S, Kvapil J, Kweon MJ, Kwon JY, Kwon Y, La Pointe SL, La Rocca P, Lai YS, Lakrathok A, Lamanna M, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lee H, Legras G, Lehrbach J, Lemmon RC, León Monzón I, Lesch MM, Lesser ED, Lettrich M, Lévai P, Li X, Li XL, Lien J, Lietava R, Likmeta I, Lim B, Lim SH, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu DH, Liu J, Lofnes IM, Loizides C, Lokos S, Lomker J, Loncar P, Lopez JA, Lopez X, López Torres E, Lu P, Luhder JR, Lunardon M, Luparello G, Ma YG, Maevskaya A, Mager M, Mahmoud T, Maire A, Makariev MV, Malaev M, Malfattore G, Malik NM, Malik QW, Malik SK, Malinina L, Mal'Kevich D, Mallick D, Mallick N, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Margagliotti GV, Margotti A, Marín A, Markert C, Martinengo P, Martinez JL, Martínez MI, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Matonoha O, Matuoka PFT, Matyja A, Mayer C, Mazuecos AL, Mazzaschi F, Mazzilli M, Mdhluli JE, Mechler AF, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon AS, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin LC, Mihaylov DL, Mikhaylov K, Mishra AN, Miśkowiec D, Modak A, Mohanty AP, Mohanty B, Mohisin Khan M, Molander MA, Moravcova Z, Mordasini C, Moreira De Godoy DA, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Muhuri S, Mulligan JD, Mulliri A, Munhoz MG, Munzer RH, Murakami H, Murray S, Musa L, Musinsky J, Myrcha JW, Naik B, Nambrath AI, Nandi BK, Nania R, Nappi E, Nassirpour AF, Nath A, Nattrass C, Naydenov MN, Neagu A, Negru A, Nellen L, Nesbo SV, Neskovic G, Nesterov D, Nielsen BS, Nielsen EG, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Okorokov VA, Oleniacz J, Oliveira Da Silva AC, Oliver MH, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Panebianco S, Park H, Park H, Park J, Parkkila JE, Patra RN, Paul B, Pei H, Peitzmann T, Peng X, Pennisi M, Pereira LG, Peresunko D, Perez GM, Perrin S, Pestov Y, Petráček V, Petrov V, Petrovici M, Pezzi RP, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan MG, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Pozdniakov V, Pradhan KK, Prasad SK, Prasad S, Preghenella R, Prino F, Pruneau CA, Pshenichnov I, Puccio M, Pucillo S, Pugelova Z, Qiu S, Quaglia L, Quishpe RE, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez SAR, Rancien TA, Rasa M, Räsänen SS, Rath R, Rauch MP, Ravasenga I, Read KF, Reckziegel C, Redelbach AR, Redlich K, Reetz CA, Rehman A, Reidt F, Reme-Ness HA, Rescakova Z, Reygers K, Riabov A, Riabov V, Ricci R, Richter M, Riedel AA, Riegler W, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski TS, Rohr D, Röhrich D, Rojas PF, Rojas Torres S, Rokita PS, Romanenko G, Ronchetti F, Rosano A, Rosas ED, Roslon K, Rossi A, Roy A, Roy S, Rubini N, Rueda OV, Ruggiano D, Rui R, Rumyantsev B, Russek PG, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki OAM, Sadek R, Sadhu S, Sadovsky S, Saetre J, Šafařík K, Saha SK, Saha S, Sahoo B, Sahoo R, Sahoo S, Sahu D, Sahu PK, Saini J, Sajdakova K, Sakai S, Salvan MP, Sambyal S, Sanna I, Saramela TB, Sarkar D, Sarkar N, Sarma P, Sarritzu V, Sarti VM, Sas MHP, Schambach J, Scheid HS, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt HR, Schmidt MO, Schmidt M, Schmidt NV, Schmier AR, Schotter R, Schröter A, Schukraft J, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger JE, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo JJ, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba TJ, Shabetai A, Shahoyan R, Shangaraev A, Sharma A, Sharma B, Sharma D, Sharma H, Sharma M, Sharma S, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shin J, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva TF, Silvermyr D, Simantathammakul T, Simeonov R, Singh B, Singh B, Singh R, Singh R, Singh R, Singh S, Singh VK, Singhal V, Sinha T, Sitar B, Sitta M, Skaali TB, Skorodumovs G, Slupecki M, Smirnov N, Snellings RJM, Solheim EH, Song J, Songmoolnak A, Soramel F, Spijkers R, Sputowska I, Staa J, Stachel J, Stan I, Steffanic PJ, Stiefelmaier SF, Stocco D, Storehaug I, Stratmann P, Strazzi S, Stylianidis CP, Suaide AAP, Suire C, Sukhanov M, Suljic M, Sultanov R, Sumberia V, Sumowidagdo S, Swain S, Szarka I, Szymkowski M, Taghavi SF, Taillepied G, Takahashi J, Tambave GJ, Tang S, Tang Z, Tapia Takaki JD, Tapus N, Tarasovicova LA, Tarzila MG, Tassielli GF, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tikhonov A, Timmins AR, Tkacik M, Tkacik T, Toia A, Tokumoto R, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres Ramos AG, Trifiró A, Triolo AS, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska WH, Trzcinski TP, Tumkin A, Turrisi R, Tveter TS, Ullaland K, Ulukutlu B, Uras A, Urioni M, Usai GL, Vala M, Valle N, van Doremalen LVR, van Leeuwen M, van Veen CA, van Weelden RJG, Vande Vyvre P, Varga D, Varga Z, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Villani A, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl MA, Voloshin K, Voloshin SA, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wang C, Wang D, Wang Y, Wegrzynek A, Weiglhofer FT, Wenzel SC, Wessels JP, Weyhmiller SL, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems GA, Windelband B, Winn M, Wright JR, Wu W, Wu Y, Xu R, Yadav A, Yadav AK, Yalcin S, Yamaguchi Y, Yang S, Yano S, Yin Z, Yoo IK, Yoon JH, Yuan S, Yuncu A, Zaccolo V, Zampolli C, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang L, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhao M, Zherebchevskii V, Zhi Y, Zhou D, Zhou Y, Zhu J, Zhu Y, Zugravel SC, Zurlo N. Enhanced Deuteron Coalescence Probability in Jets. PHYSICAL REVIEW LETTERS 2023; 131:042301. [PMID: 37566840 DOI: 10.1103/physrevlett.131.042301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/07/2023] [Accepted: 06/05/2023] [Indexed: 08/13/2023]
Abstract
The transverse-momentum (p_{T}) spectra and coalescence parameters B_{2} of (anti)deuterons are measured in p-p collisions at sqrt[s]=13 TeV for the first time in and out of jets. In this measurement, the direction of the leading particle with the highest p_{T} in the event (p_{T}^{lead}>5 GeV/c) is used as an approximation for the jet axis. The event is consequently divided into three azimuthal regions, and the jet signal is obtained as the difference between the toward region, that contains jet fragmentation products in addition to the underlying event (UE), and the transverse region, which is dominated by the UE. The coalescence parameter in the jet is found to be approximately a factor of 10 larger than that in the underlying event. This experimental observation is consistent with the coalescence picture and can be attributed to the smaller average phase-space distance between nucleons in the jet cone as compared with the underlying event. The results presented in this Letter are compared to predictions from a simple nucleon coalescence model, where the phase-space distributions of nucleons are generated using pythia8 with the Monash 2013 tuning, and to predictions from a deuteron production model based on ordinary nuclear reactions with parametrized energy-dependent cross sections tuned on data. The latter model is implemented in pythia8.3. Both models reproduce the observed large difference between in-jet and out-of-jet coalescence parameters, although the almost flat trend of the B_{2}^{Jet} is not reproduced by the models, which instead give a decreasing trend.
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Cao FF, Xie EZH, Qin ZY, Xu F, Du Y, Chen ZJ, Zhao R, Qiu JT, Wu JL, Qiu JW, Dai L, Song J, Gao W, Yu CT. [Efficacy of arteriovenous argatroban versus heparin flush anticoagulation after cardiovascular surgery]. ZHONGHUA YI XUE ZA ZHI 2023; 103:2168-2174. [PMID: 37482729 DOI: 10.3760/cma.j.cn112137-20230322-00460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: To compare the effects of arteriovenous argatroban and heparin flushes on platelet count and assess the occurrence of heparin-induced thrombocytopenia (HIT) and other complications in patients undergoing cardiovascular surgeries. Methods: A single-center, prospective randomized control study was conducted. Patients who underwent cardiovascular surgery at Fuwai Hospital, Chinese Academy of Medical Sciences from March to December 2019 were randomly divided into the argatroban group (250 ml normal saline plus 2.5 mg of argatroban) and the heparin group (250 ml normal saline plus 10 mg of heparin). Platelet count, hemorrhage, and thrombosis were assessed. The 4T scores of HIT, the incidences of HIT and other complications were also evaluated. Results: A total of 491 patients (307 males and 184 females) were included in the study, with a mean age of (52.3±13.7) years. There were 245 cases in the argatroban group and 246 cases in the heparin group, respectively. There was no statistically significant difference in the preoperative platelet count between the argatroban and heparin groups [198.0 (161.0, 248.0)×109/L vs 194.0 (157.2, 243.8)×109/L, P=0.498]. Likewise, there were no statistically significant differences in the platelet count between the argatroban and heparin groups at 12 h, 1 day, and 5 days after operation [127.0 (100.0, 154.0)×109/L vs 121.5 (90.2, 149.0)×109/L, 126.0 (97.0, 162.0)×109/L vs 123.5 (88.0, 151.0)×109/L, 168.0 (130.0, 215.0) ×109/L vs 161.0 (101.0, 210.5)×109/L] (repeated measures ANOVA between groups: F=3.327, P=0.069; time comparison: F=532.523, P<0.001; time interaction between groups: F=0.675, P=0.512). The proportion of 4T scores of medium and high scores (≥4)[9.8% (24/245) vs 10.6% (26/246), P=0.777] and incidence of HIT antibody positive [1.63% (4/245) vs 1.63% (4/246), P=0.726] were similar between argatroban group and the heparin group. Mechanical ventilation time was shorter in the argatroban group than that in the heparin group [13.0 (11.0, 21.0) vs 15.5 (12.0, 21.0) h, P=0.020]. Conclusion: Compared with heparin, routine management with argatroban for arteriovenous flush in patients undergoing cardiovascular surgery does not affect the HIT incidence.
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Chen YY, Liu H, Li LY, Li LJ, Wang HQ, Song J, Wu YH, Guan J, Xing LM, Wang GJ, Qu W, Liu H, Wang XM, Shao ZH, Fu R. [Role and clinical significance of MUC4 gene mutations in thrombotic events in patients with classic paroxysmal nocturnal hemoglobinuria]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2023; 44:561-566. [PMID: 37749036 PMCID: PMC10509626 DOI: 10.3760/cma.j.issn.0253-2727.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Indexed: 09/27/2023]
Abstract
Objective: This study aimed to investigate the role and clinical significance of MUC4 gene mutations in thrombotic events in patients with classic paroxysmal nocturnal hemoglobinuria (PNH) patients. Methods: A retrospective analysis was conducted on the clinical data and gene sequencing results of 45 patients with classic PNH admitted to the Department of Hematology, Tianjin Medical University General Hospital, from June 2018 to February 2022. MUC4 gene mutations in patients with classic PNH were summarized, and the risk factors for thrombotic events in these patients were analyzed. Additionally, the effects of MUC4 gene mutations on the cumulative incidence and survival of thrombotic events in patients with classic PNH were determined. Results: The detection rate of MUC4 gene mutations in patients with classic PNH who experienced thrombotic events (thrombotic group) was 68.8% (11/16), which was significantly higher than that in the non-thrombotic group [10.3% (3/29) ] (P<0.001). All mutations occurred in exon 2. MUC4 mutation (OR=20.815, P=0.010) was identified as an independent risk factor for thrombotic events in patients with classic PNH. The cumulative incidence of thrombotic events was 78.6% (11/14) in the MUC4 gene mutation group (mutation group) and 16.1% (5/31) in the non-mutation group, showing a statistically significant difference between the two groups (P<0.001). Survival analysis showed a lower overall survival (OS) rate in the thrombotic group compared with that in the non-thrombotic group [ (34.4±25.2) % vs. (62.7±19.3) % ] (P=0.045). The OS rate of patients was (41.7±29.9) % in the mutation group and (59.1±18.3) % in the non-mutation group (P=0.487) . Conclusion: MUC4 gene mutations are associated with an increased incidence of thrombotic events in classic PNH patients, highlighting their role as independent risk factors for thrombosis in this population. These mutations can be considered a novel predictive factor that aids in evaluating the risk of thrombosis in patients with classic PNH.
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Wang CM, Liu H, Li LJ, Song J, Wang HQ, Wu YH, Guan J, Xing LM, Wang GJ, Liu H, Qu W, Wang XM, Shao ZH, Fu R. [Analysis of infection in B-cell lymphoma patients treated with BTK inhibitors]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2023; 44:582-586. [PMID: 37749040 PMCID: PMC10509625 DOI: 10.3760/cma.j.issn.0253-2727.2023.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Indexed: 09/27/2023]
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Lu Z, Li T, Liu C, Zheng Y, Song J. Development and validation of a survival prediction model and risk stratification for pancreatic neuroendocrine neoplasms. J Endocrinol Invest 2023; 46:927-937. [PMID: 36394822 DOI: 10.1007/s40618-022-01956-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 10/30/2022] [Indexed: 11/18/2022]
Abstract
PURPOSE We explored risk variables associated with cancer-specific survival (CSS) in patients with pancreatic neuroendocrine neoplasms (PNENs) and created a network dynamic nomogram model to predict patient survival time. METHODS A total of 7750 patients with PNENs were included in this analysis, including 134 with functional PNENs and 7616 with nonfunctional PNENs. Clinical feature and prognosis differences between functional and nonfunctional PNENs were compared. Independent prognostic factors affecting CSS were analyzed by univariate and multifactorial Cox regression. Nomogram and web-based prognosis prediction of PNENs were developed and validated by C indices, decision curve analysis, and calibration plots. RESULTS Patients with functional PNENs were younger at diagnosis than those with nonfunctional PNENs. Functional PNENs had better prognoses than nonfunctional PNENs (5-year survival rates: 78.55% and 71.10%, respectively). Univariate and multifactorial Cox regression analyses showed that tumor infiltration (T), nodal metastasis (N), metastasis (M), tumor site, differentiation grade, age, marital status, and surgical treatment were independent prognostic risk factors for CSS, which were included in the prognostic nomogram and web-based prognosis calculator. The calibration plots and decision curve analysis showed that the nomogram had excellent prediction and clinical practical ability. The C indices for CSS in the training and validation cohorts were 0.848 (95% CI 0.838-0.8578) and 0.823 (95% CI 0.807-0.839), respectively. We scored all patients according to the nomogram and divided patients into three different risk groups. The prognosis of the low-risk population was significantly better than those of the middle- and high-risk populations based on Kaplan-Meier survival curve. CONCLUSION We analyzed the clinical features of PNENs and developed a convenient and web dynamic nomogram to predict CSS.
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Zhang X, Miao J, Yang J, Liu C, Huang J, Song J, Xie D, Yue C, Kong W, Hu J, Luo W, Liu S, Li F, Zi W. DWI-Based Radiomics Predicts the Functional Outcome of Endovascular Treatment in Acute Basilar Artery Occlusion. AJNR Am J Neuroradiol 2023; 44:536-542. [PMID: 37080720 PMCID: PMC10171394 DOI: 10.3174/ajnr.a7851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 03/15/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND AND PURPOSE Endovascular treatment is a reference treatment for acute basilar artery occlusion (ABAO). However, no established and specific methods are available for the preoperative screening of patients with ABAO suitable for endovascular treatment. This study explores the potential value of DWI-based radiomics in predicting the functional outcomes of endovascular treatment in ABAO. MATERIALS AND METHODS Patients with ABAO treated with endovascular treatment from the BASILAR registry (91 patients in the training cohort) and the hospitals in the Northwest of China (31 patients for the external testing cohort) were included in this study. The Mann-Whitney U test, random forests algorithm, and least absolute shrinkage and selection operator were used to reduce the feature dimension. A machine learning model was developed on the basis of the training cohort to predict the prognosis of endovascular treatment. The performance of the model was evaluated on the independent external testing cohort. RESULTS A subset of radiomics features (n = 6) was used to predict the functional outcomes in patients with ABAO. The areas under the receiver operating characteristic curve of the radiomics model were 0.870 and 0.781 in the training cohort and testing cohort, respectively. The accuracy of the radiomics model was 77.4%, with a sensitivity of 78.9%, specificity of 75%, positive predictive value of 83.3%, and negative predictive value of 69.2% in the testing cohort. CONCLUSIONS DWI-based radiomics can predict the prognosis of endovascular treatment in patients with ABAO, hence allowing a potentially better selection of patients who are most likely to benefit from this treatment.
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Sechi A, Song J, Dell'Antonia M, Heidemeyer K, Piraccini BM, Starace M, Naldi L. Adverse events in patients treated with Jak-inhibitors for alopecia areata: a systematic review. J Eur Acad Dermatol Venereol 2023. [PMID: 37013725 DOI: 10.1111/jdv.19090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 03/21/2023] [Indexed: 04/05/2023]
Abstract
Recently, the impressive efficacy of JAK-inhibitors (JAK-I) in alopecia areata (AA) has been described in several studies; however, to date, there is limited information on the safety of JAK-I in AA patients. For this reason, on the August 18th 2022, a systematic review was performed to collect the pre-marketing and post-marketing data on the safety of JAK-I in patients treated for AA, evaluating for each molecule the reported adverse events (AEs) in indexed literature and their frequency. The keywords "alopecia areata" AND "Jak-inhibitors OR Janus-kinase Inhibitors" were searched on PubMed, Embase, and Cochrane databases. Of 407 studies retrieved, 28 papers met the requirements and were used in our review, including 5 RCTs and 23 case series, overall 1719 patients were included and the safety of 6 JAK-I was assessed (baricitinib, brepocitinib, deuruxolitinib, ritlecitinib, ruxolitinib, tofacitinib). Systemic JAK-I were well tolerated, most of the AEs were mild, and the withdrawal rate for AEs was very low and inferior to placebo in controlled studies (1.6% vs. 2.2%). Laboratory abnormalities represented 40.1% of AEs associated with oral JAK-I, which mostly included the rise in cholesterol, transaminase, triglycerides, creatine phosphokinase (CPK), and sporadic cases of neutro/lymphocytopenia. The remaining AEs involved the respiratory tract (20.8%), the skin (17.2%), the urogenital (3.8%), or the gastroenterological (3.4%) tract. Increased rates of infections involved not only the upper (19.0%) and lower (0.3%) respiratory tract, but also the urogenital system (3.6%), and the skin (4.6%). Isolated cases of grade 3 to 4 AEs have been reported, including myocardial infarction, hypertensive urgencies, cellulitis, rhabdomyolysis, neutropenia, and high elevation of creatinine kinase. No fatal outcomes were reported. AEs reported with topical formulation included scalp irritation and folliculitis. The main limit of this review is the lack of data related to post-marketing surveillance, which should be maintained on a long-term basis.
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Li J, Song J. 32P Clinical efficacy and safety of an immune checkpoint inhibitor in combination with regorafenib therapy as second-line regimen for patients with unresectable hepatocellular carcinoma. ESMO Open 2023. [DOI: 10.1016/j.esmoop.2023.100998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2023] Open
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Lin Z, Wang H, Song J, Xu G, Lu F, Ma X, Xia X, Jiang J, Zou F. The role of mitochondrial fission in intervertebral disc degeneration. Osteoarthritis Cartilage 2023; 31:158-166. [PMID: 36375758 DOI: 10.1016/j.joca.2022.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/06/2022] [Accepted: 10/31/2022] [Indexed: 11/13/2022]
Abstract
Low back pain (LBP) is an extremely common disorder and is a major cause of disability globally. Intervertebral disc degeneration (IVDD) is the main contributor to LBP. Nevertheless, the specific mechanisms underlying the pathogenesis of IVDD remain unclear. Mitochondria are highly dynamic organelles that continuously undergo fusion and fission, known as mitochondrial dynamics. Accumulating evidence has revealed that aberrantly activated mitochondrial fission leads to mitochondrial fragmentation and dysfunction, which are involved in the development and progression of IVDD. To date, research into mitochondrial dynamics in IVDD is at an early stage. The present narrative review aims to summarize the most recent findings about the role of mitochondrial fission in the pathogenesis of IVDD.
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Shu S, Fu M, Chen X, Song J. Different cellular landscape of four types of non-diseased cardiac valves contributes to their differences in susceptibility of pathological remodeling and disease. Eur Heart J 2023. [DOI: 10.1093/eurheartj/ehac779.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): National Natural Science Foundation of China
Background
Exploring the mechanisms of valvular heart disease (VHD) at the cellular level may be useful to identify new therapeutic targets; however, the comprehensive cellular landscape of non-diseased human cardiac valve leaflets remains unclear.
Methods
The cellular landscapes of non-diseased human cardiac valve leaflets (five aortic valves, five pulmonary valves, five tricuspid valves, and three mitral valves) from end-stage heart failure patients undergoing heart transplantation were explored using single-cell RNA sequencing (scRNA-seq). Bioinformatics was used to identify the cell types, describe the cell functions, and investigate cellular developmental trajectories and interactions. Differences among the four types of cardiac valve at the cellular level were summarized. Pathological staining was performed to validate the key findings of scRNA-seq. An integrative analysis of our single-cell data and published genome-wide association study-based and bulk RNA sequencing-based data provided insights into the cell-specific contributions to calcific aortic valve diseases.
Results
Six cell types were identified among 128,412 cells from non-diseased human cardiac valve leaflets. Valvular interstitial cells were the largest population, followed by myeloid cells, lymphocytes, valvular endothelial cells, mast cells, and myofibroblasts. The four types of cardiac valve had distinct cellular compositions. The intercellular communication analysis revealed that valvular interstitial cells were at the center of the communication network. The integrative analysis of our scRNA-seq data revealed key cellular subpopulations involved in the pathogenesis of calcific aortic valve diseases.
Conclusions
The cellular landscape differed among the four types of non-diseased cardiac valve, which might explain their differences in susceptibility to pathological remodeling and VHD.
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Wang J, Si H, Liu Y, Song J, Wang P, Luo H, Chen S, Fan G, Rao X, Wang Z, Liao S. Experimental evaluation and structure-activity relationship analysis of bridged-ring terpenoid derivatives as novel Blattella germanica repellent. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2022; 33:969-986. [PMID: 36548121 DOI: 10.1080/1062936x.2022.2154838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 11/26/2022] [Indexed: 06/17/2023]
Abstract
Cockroaches are urban pests that are very difficult to control. Using repellents is a green, safe and effective strategy for their control. In order to find novel cockroach repellents, the repellent activity of 45 bridged-ring terpenoid derivatives synthesized from β-pinene against Blattella germanica was tested. The relationship between the molecular structure of these bridged-ring terpenoid derivatives and their repellent activity against Blattella germanica was also analysed. The results show that some of the bridged-ring terpenoid derivatives exhibit good repellent activity against Blattella germanica, and six compounds (RR = 60.44-87.32%) show higher repellent activity against Blattella germanica than DEET (RR = 54.77%), making them promising for development as new cockroach repellents. Quantitative structure-activity relationship (QSAR) analysis revealed that the HOMO-1 energy, Kier and Hall index (order 2), Balaban index, and relative positive charged surface area of bridged-ring terpenoid derivatives have effects on repellent activity against Blattella germanica. The present study may provide a theoretical basis for the high-value use of β-pinene and can be helpful to the development of novel repellents against Blattella germanica.
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Song J, Hu B, Qu H, Wang L, Huang X, Li M, Zhang M. Corrigendum to “Upregulation of angiotensin converting enzyme 2 by shear stress reduced inflammation and proliferation in vascular endothelial cells” [Biochem. Biophys. Res. Commun. 525(3) (2020) 812–818]. Biochem Biophys Res Commun 2022; 632:204-205. [DOI: 10.1016/j.bbrc.2022.09.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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Shan G, Zhu M, Zhang D, Shi T, Song J, Li QX, Hua R. Effects of plant morphology, vitamin C, and other co-present pesticides on the deposition, dissipation, and metabolism of chlorothalonil in pakchoi. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:84762-84772. [PMID: 35789467 DOI: 10.1007/s11356-022-21405-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
Pesticide residues have been a focus of attention of food safety. Different varietal pakchoi plants grown in open fields were studied to understand effects of morphology, leaf wax content, and vitamin C on the deposition, dissipation, and metabolism of chlorothalonil. The loose pakchoi plants and flat leaves were conducive to pesticide deposition, but not plants with erect leaves. Chlorothalonil on nine varieties of pakchoi dissipated in the first-order kinetic with T1/2 s of 1.4 ~ 2.0 days. Vitamin C in pakchoi could promote the dissipation of chlorothalonil. Carbendazim could significantly promote the dissipation of chlorothalonil on pakchoi. Interestingly, four metabolites of chlorothalonil were identified in the pakchoi and the metabolic pathway was predicted by DFT calculations. The risk assessment showed that pakchoi were safe for consumption after 10 days of application of the recommended dose. This work provides important information for the understanding of deposition, dissipation, and metabolism of chlorothalonil in pakchoi.
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Kim J, Park JH, Moon S, Kim S, Song J, Ahn S, Cho H. 46 The Effect of Mechanical Chest Compression Device on Survival After Out-of-Hospital Cardiac Arrest According to Patient Transport Interval: A Multi-center Observational Study. Ann Emerg Med 2022. [DOI: 10.1016/j.annemergmed.2022.08.069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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Song J, Kim SJ, Lee S, Lim H, Ahn S, Kim J, Park J, Cho HJ, Moon S, Jeon ET. 44 Prediction of Mortality Among Patients With Isolated Traumatic Brain Injury Using Machine Learning Models in Asian Countries: An International Multicenter Cohort Study. Ann Emerg Med 2022. [DOI: 10.1016/j.annemergmed.2022.08.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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Di YC, Zhang ZH, Sun YP, Song J. Vitamin D3 sensitizes resistant human bladder cancer cells to cisplatin by regulating Sirtuin 1 gene expression. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2022; 26:7656-7666. [PMID: 36314337 DOI: 10.26355/eurrev_202210_30042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
OBJECTIVE Cisplatin is a standard chemotherapeutic agent for advanced bladder cancer, but its efficacy is limited due to drug resistance. Vitamin D3 may reverse cancer multidrug resistance, but the potential molecular mechanisms are still only partially known. The purpose of this study was to explore the mechanism by which vitamin D3 reverses cisplatin resistance in bladder cancer to improve therapeutic efficacy and ameliorate the prognosis of cisplatin-resistant bladder cancer. PATIENTS AND METHODS The levels of vitamin D3 and sirtuin 1 protein were detected in cisplatin-resistant bladder cancer patients and cisplatin-sensitive patients. The cisplatin-resistant bladder cancer cell lines T24/DDP and UMUC3R were used as cell experimental models, and the migration, apoptosis, mitochondrial reactive oxygen species accumulation and autophagy of cells were assessed in the present study. RESULTS Vitamin D3 levels were decreased, and sirtuin 1 protein levels were increased in cisplatin-resistant bladder cancer patients compared with cisplatin-sensitive bladder cancer patients. Vitamin D3 treatment markedly repressed sirtuin 1 expression, and overexpression of the sirtuin 1 gene led to mitochondrial reactive oxygen species generation, promoted the initiation of autophagosome formation and enhanced autophagic flux. Cisplatin treatment in the presence of vitamin D3 inhibited cell invasion and migration and induced apoptosis and enhancing the sirtuin 1 gene abolished the effect of vitamin D3 by regulating mitochondrial reactive oxygen species accumulation and autophagosome formation. CONCLUSIONS These data support a mechanism wherein the sirtuin 1 gene plays a crucial role in vitamin D3 reversing cisplatin resistance in bladder cancer and may provide useful preventive and therapeutic applications in the future.
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Jin BY, Song J, Kim J, Park JH, Kim S, Cho H, Moon S, Kim DH, Ahn S. 127 Effect of Metformin on Survival Outcomes in In-Hospital Cardiac Arrest Patients With Diabetes. Ann Emerg Med 2022. [DOI: 10.1016/j.annemergmed.2022.08.151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
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Acharya S, Adamová D, Adler A, Adolfsson J, Aglieri Rinella G, Agnello M, Agrawal N, Ahammed Z, Ahmad S, Ahn S, Ahuja I, Akbar Z, Akindinov A, Al-Turany M, Alam S, Aleksandrov D, Alessandro B, Alfanda H, Alfaro Molina R, Ali B, Ali Y, Alici A, Alizadehvandchali N, Alkin A, Alme J, Alocco G, Alt T, Altsybeev I, Anaam M, Andrei C, Andreou D, Andronic A, Anguelov V, Antinori F, Antonioli P, Anuj C, Apadula N, Aphecetche L, Appelshäuser H, Arcelli S, Arnaldi R, Arsene I, Arslandok M, Augustinus A, Averbeck R, Aziz S, Azmi M, Badalà A, Baek Y, Bai X, Bailhache R, Bailung Y, Bala R, Balbino A, Baldisseri A, Balis B, Banerjee D, Banoo Z, Barbera R, Barioglio L, Barlou M, Barnaföldi G, Barnby L, Barret V, Bartels C, Barth K, Bartsch E, Baruffaldi F, Bastid N, Basu S, Batigne G, Battistini D, Batyunya B, Bauri D, Bazo Alba J, Bearden I, Beattie C, Becht P, Belikov I, Bell Hechavarria A, Bellini F, Bellwied R, Belokurova S, Belyaev V, Bencedi G, Beole S, Bercuci A, Berdnikov Y, Berdnikova A, Bergmann L, Besoiu M, Betev L, Bhaduri P, Bhasin A, Bhat I, Bhat M, Bhattacharjee B, Bhattacharya P, Bianchi L, Bianchi N, Yamaguchi Y, Yamakawa K, Yang S, Yano S, Yin Z, Yoo IK, Yoon J, Yuan S, Yuncu A, Zaccolo V, Bielčík J, Zampolli C, Zanoli H, Zanone F, Zardoshti N, Zarochentsev A, Závada P, Zaviyalov N, Zhalov M, Zhang B, Zhang S, Bielčíková J, Zhang X, Zhang Y, Zherebchevskii V, Zhi Y, Zhigareva N, Zhou D, Zhou Y, Zhu J, Zhu Y, Zinovjev G, Biernat J, Zurlo N, Bilandzic A, Biro G, Biswas S, Blair J, Blau D, Blidaru M, Blume C, Boca G, Bock F, Bogdanov A, Boi S, Bok J, Boldizsár L, Bolozdynya A, Bombara M, Bond P, Bonomi G, Borel H, Borissov A, Bossi H, Botta E, Bratrud L, Braun-Munzinger P, Bregant M, Broz M, Bruno G, Buckland M, Budnikov D, Buesching H, Bufalino S, Bugnon O, Buhler P, Buthelezi Z, Butt J, Bylinkin A, Bysiak S, Cai M, Caines H, Caliva A, Calvo Villar E, Camacho J, Camacho R, Camerini P, Canedo F, Carabas M, Carnesecchi F, Caron R, Castillo Castellanos J, Casula E, Catalano F, Ceballos Sanchez C, Chakaberia I, Chakraborty P, Chandra S, Chapeland S, Chartier M, Chattopadhyay S, Chattopadhyay S, Chavez T, Cheng T, Cheshkov C, Cheynis B, Chibante Barroso V, Chinellato D, Cho S, Chochula P, Christakoglou P, Christensen C, Christiansen P, Chujo T, Cicalo C, Cifarelli L, Cindolo F, Ciupek M, Clai G, Cleymans J, Colamaria F, Colburn J, Colella D, Collu A, Colocci M, Concas M, Conesa Balbastre G, Conesa del Valle Z, Contin G, Contreras J, Coquet M, Cormier T, Cortese P, Cosentino M, Costa F, Costanza S, Crochet P, Cruz-Torres R, Cuautle E, Cui P, Cunqueiro L, Dainese A, Danisch M, Danu A, Das P, Das P, Das S, Dash S, De Caro A, de Cataldo G, De Cilladi L, de Cuveland J, De Falco A, De Gruttola D, De Marco N, De Martin C, De Pasquale S, Deb S, Degenhardt H, Deja K, Del Grande R, Dello Stritto L, Deng W, Dhankher P, Di Bari D, Di Mauro A, Diaz R, Dietel T, Ding Y, Divià R, Dixit D, Djuvsland Ø, Dmitrieva U, Do J, Dobrin A, Dönigus B, Dubey A, Dubla A, Dudi S, Dupieux P, Durkac M, Dzalaiova N, Eder T, Ehlers R, Eikeland V, Eisenhut F, Elia D, Erazmus B, Ercolessi F, Erhardt F, Erokhin A, Ersdal M, Espagnon B, Eulisse G, Evans D, Evdokimov S, Fabbietti L, Faggin M, Faivre J, Fan F, Fan W, Fantoni A, Fasel M, Fecchio P, Feliciello A, Feofilov G, Fernández Téllez A, Ferrero A, Ferretti A, Feuillard V, Figiel J, Filova V, Finogeev D, Fionda F, Fiorenza G, Flor F, Flores A, Foertsch S, Fokin S, Fragiacomo E, Frajna E, Francisco A, Fuchs U, Funicello N, Furget C, Furs A, Gaardhøje J, Gagliardi M, Gago A, Gal A, Galvan C, Ganoti P, Garabatos C, Garcia J, Garcia-Solis E, Garg K, Gargiulo C, Garibli A, Garner K, Gasik P, Gauger E, Gautam A, Gay Ducati M, Germain M, Ghosh S, Giacalone M, Gianotti P, Giubellino P, Giubilato P, Glaenzer A, Glässel P, Glimos E, Goh D, Gonzalez V, González-Trueba L, Gorbunov S, Gorgon M, Görlich L, Gotovac S, Grabski V, Graczykowski L, Greiner L, Grelli A, Grigoras C, Grigoriev V, Grigoryan S, Grosa F, Grosse-Oetringhaus J, Grosso R, Grund D, Guardiano G, Guernane R, Guilbaud M, Gulbrandsen K, Gunji T, Guo W, Gupta A, Gupta R, Guzman S, Gyulai L, Habib M, Hadjidakis C, Haidenbauer J, Hamagaki H, Hamid M, Hannigan R, Haque M, Harlenderova A, Harris J, Harton A, Hasenbichler J, Hassan H, Hatzifotiadou D, Hauer P, Havener L, Heckel S, Hellbär E, Helstrup H, Herman T, Herrera Corral G, Herrmann F, Hetland K, Heybeck B, Hillemanns H, Hills C, Hippolyte B, Hofman B, Hohlweger B, Honermann J, Hong G, Horak D, Hornung S, Horzyk A, Hosokawa R, Hou Y, Hristov P, Hughes C, Huhn P, Huhta L, Hulse C, Humanic T, Hushnud H, Husova L, Hutson A, Hyodo T, Iddon J, Ilkaev R, Ilyas H, Inaba M, Innocenti G, Ippolitov M, Isakov A, Isidori T, Islam M, Ivanov M, Ivanov V, Izucheev V, Jablonski M, Jacak B, Jacazio N, Jacobs P, Jadlovska S, Jadlovsky J, Jaelani S, Jahnke C, Jakubowska M, Jalotra A, Janik M, Janson T, Jercic M, Jevons O, Jimenez A, Jonas F, Jones P, Jowett J, Jung J, Jung M, Junique A, Jusko A, Kabus M, Kaewjai J, Kalinak P, Kalteyer A, Kalweit A, Kamiya Y, Kaplin V, Karasu Uysal A, Karatovic D, Karavichev O, Karavicheva T, Karczmarczyk P, Karpechev E, Kashyap V, Kazantsev A, Kebschull U, Keidel R, Keijdener D, Keil M, Ketzer B, Khan A, Khan S, Khanzadeev A, Kharlov Y, Khatun A, Khuntia A, Kileng B, Kim B, Kim C, Kim D, Kim E, Kim J, Kim J, Kim J, Kim J, Kim M, Kim S, Kim T, Kirsch S, Kisel I, Kiselev S, Kisiel A, Kitowski J, Klay J, Klein J, Klein S, Klein-Bösing C, Kleiner M, Klemenz T, Kluge A, Knospe A, Kobdaj C, Kollegger T, Kondratyev A, Kondratyeva N, Kondratyuk E, Konig J, Konigstorfer S, Konopka P, Kornakov G, Koryciak S, Kotliarov A, Kovalenko O, Kovalenko V, Kowalski M, Králik I, Kravčáková A, Kreis L, Krivda M, Krizek F, Krizkova Gajdosova K, Kroesen M, Krüger M, Krupova D, Kryshen E, Krzewicki M, Kučera V, Kuhn C, Kuijer P, Kumaoka T, Kumar D, Kumar L, Kumar N, Kundu S, Kurashvili P, Kurepin A, Kurepin A, Kuryakin A, Kushpil S, Kvapil J, Kweon M, Kwon J, Kwon Y, La Pointe S, La Rocca P, Lai Y, Lakrathok A, Lamanna M, Langoy R, Larionov P, Laudi E, Lautner L, Lavicka R, Lazareva T, Lea R, Lehrbach J, Lemmon R, León Monzón I, Lesch M, Lesser E, Lettrich M, Lévai P, Li X, Li X, Lien J, Lietava R, Lim B, Lim S, Lindenstruth V, Lindner A, Lippmann C, Liu A, Liu D, Liu J, Lofnes I, Loginov V, Loizides C, Loncar P, Lopez J, Lopez X, López Torres E, Luhder J, Lunardon M, Luparello G, Ma Y, Maevskaya A, Mager M, Mahmoud T, Maire A, Malaev M, Malik N, Malik Q, Malik S, Malinina L, Mal’Kevich D, Mallick D, Mallick N, Mandaglio G, Manko V, Manso F, Manzari V, Mao Y, Margagliotti G, Margotti A, Marín A, Markert C, Marquard M, Martin N, Martinengo P, Martinez J, Martínez M, Martínez García G, Masciocchi S, Masera M, Masoni A, Massacrier L, Mastroserio A, Mathis A, Matonoha O, Matuoka P, Matyja A, Mayer C, Mazuecos A, Mazzaschi F, Mazzilli M, Mdhluli J, Mechler A, Melikyan Y, Menchaca-Rocha A, Meninno E, Menon A, Meres M, Mhlanga S, Miake Y, Micheletti L, Migliorin L, Mihaylov D, Mikhaylov K, Mishra A, Miśkowiec D, Modak A, Mohanty A, Mohanty B, Mohisin Khan M, Molander M, Moravcova Z, Mordasini C, Moreira De Godoy D, Morozov I, Morsch A, Mrnjavac T, Muccifora V, Mudnic E, Mühlheim D, Muhuri S, Mulligan J, Mulliri A, Munhoz M, Munzer R, Murakami H, Murray S, Musa L, Musinsky J, Myrcha J, Naik B, Nair R, Nandi B, Nania R, Nappi E, Nassirpour A, Nath A, Nattrass C, Neagu A, Negru A, Nellen L, Nesbo S, Neskovic G, Nesterov D, Nielsen B, Nielsen E, Nikolaev S, Nikulin S, Nikulin V, Noferini F, Noh S, Nomokonov P, Norman J, Novitzky N, Nowakowski P, Nyanin A, Nystrand J, Ogino M, Ohlson A, Ohnishi A, Okorokov V, Oleniacz J, Oliveira Da Silva A, Oliver M, Onnerstad A, Oppedisano C, Ortiz Velasquez A, Osako T, Oskarsson A, Otwinowski J, Oya M, Oyama K, Pachmayer Y, Padhan S, Pagano D, Paić G, Palasciano A, Panebianco S, Park J, Parkkila J, Pathak S, Patra R, Paul B, Pei H, Peitzmann T, Peng X, Pereira L, Pereira Da Costa H, Peresunko D, Perez G, Perrin S, Pestov Y, Petráček V, Petrov V, Petrovici M, Pezzi R, Piano S, Pikna M, Pillot P, Pinazza O, Pinsky L, Pinto C, Pisano S, Płoskoń M, Planinic M, Pliquett F, Poghosyan M, Polichtchouk B, Politano S, Poljak N, Pop A, Porteboeuf-Houssais S, Porter J, Pozdniakov V, Prasad S, Preghenella R, Prino F, Pruneau C, Pshenichnov I, Puccio M, Qiu S, Quaglia L, Quishpe R, Ragoni S, Rakotozafindrabe A, Ramello L, Rami F, Ramirez S, Rancien T, Raniwala R, Raniwala S, Räsänen S, Rath R, Ravasenga I, Read K, Redelbach A, Redlich K, Rehman A, Reichelt P, Reidt F, Reme-ness H, Rescakova Z, Reygers K, Riabov A, Riabov V, Richert T, Richter M, Riegler W, Riggi F, Ristea C, Rodríguez Cahuantzi M, Røed K, Rogalev R, Rogochaya E, Rogoschinski T, Rohr D, Röhrich D, Rojas P, Rojas Torres S, Rokita P, Ronchetti F, Rosano A, Rosas E, Rossi A, Roy A, Roy P, Roy S, Rubini N, Rueda O, Ruggiano D, Rui R, Rumyantsev B, Russek P, Russo R, Rustamov A, Ryabinkin E, Ryabov Y, Rybicki A, Rytkonen H, Rzesa W, Saarimaki O, Sadek R, Sadovsky S, Saetre J, Šafařík K, Saha S, Saha S, Sahoo B, Sahoo P, Sahoo R, Sahoo S, Sahu D, Sahu P, Saini J, Sakai S, Salvan M, Sambyal S, Saramela T, Sarkar D, Sarkar N, Sarma P, Sarti V, Sas M, Schambach J, Scheid H, Schiaua C, Schicker R, Schmah A, Schmidt C, Schmidt H, Schmidt M, Schmidt M, Schmidt N, Schmier A, Schotter R, Schukraft J, Schwarz K, Schweda K, Scioli G, Scomparin E, Seger J, Sekiguchi Y, Sekihata D, Selyuzhenkov I, Senyukov S, Seo J, Serebryakov D, Šerkšnytė L, Sevcenco A, Shaba T, Shabanov A, Shabetai A, Shahoyan R, Shaikh W, Shangaraev A, Sharma A, Sharma D, Sharma H, Sharma M, Sharma N, Sharma S, Sharma U, Shatat A, Sheibani O, Shigaki K, Shimomura M, Shirinkin S, Shou Q, Sibiriak Y, Siddhanta S, Siemiarczuk T, Silva T, Silvermyr D, Simantathammakul T, Simonetti G, Singh B, Singh R, Singh R, Singh R, Singh V, Singhal V, Sinha T, Sitar B, Sitta M, Skaali T, Skorodumovs G, Slupecki M, Smirnov N, Snellings R, Soncco C, Song J, Songmoolnak A, Soramel F, Sorensen S, Sputowska I, Stachel J, Stan I, Steffanic P, Stiefelmaier S, Stocco D, Storehaug I, Storetvedt M, Stratmann P, Strazzi S, Stylianidis C, Suaide A, Suire C, Sukhanov M, Suljic M, Sultanov R, Sumberia V, Sumowidagdo S, Swain S, Szabo A, Szarka I, Tabassam U, Taghavi S, Taillepied G, Takahashi J, Tambave G, Tang S, Tang Z, Tapia Takaki J, Tapus N, Tarzila M, Tauro A, Tejeda Muñoz G, Telesca A, Terlizzi L, Terrevoli C, Tersimonov G, Thakur S, Thomas D, Tieulent R, Tikhonov A, Timmins A, Tkacik M, Toia A, Topilskaya N, Toppi M, Torales-Acosta F, Tork T, Torres Ramos A, Trifiró A, Triolo A, Tripathy S, Tripathy T, Trogolo S, Trubnikov V, Trzaska W, Trzcinski T, Tumkin A, Turrisi R, Tveter T, Ullaland K, Uras A, Urioni M, Usai G, Vala M, Valle N, Vallero S, van Doremalen L, van Leeuwen M, Vande Vyvre P, Varga D, Varga Z, Varga-Kofarago M, Vasileiou M, Vasiliev A, Vázquez Doce O, Vechernin V, Velure A, Vercellin E, Vergara Limón S, Vermunt L, Vértesi R, Verweij M, Vickovic L, Vilakazi Z, Villalobos Baillie O, Vino G, Vinogradov A, Virgili T, Vislavicius V, Vodopyanov A, Volkel B, Völkl M, Voloshin K, Voloshin S, Volpe G, von Haller B, Vorobyev I, Vozniuk N, Vrláková J, Wagner B, Wang C, Wang D, Weber M, Weelden R, Wegrzynek A, Wenzel S, Wessels J, Weyhmiller S, Wiechula J, Wikne J, Wilk G, Wilkinson J, Willems G, Windelband B, Winn M, Witt W, Wright J, Wu W, Wu Y, Xu R, Yadav A, Yalcin S. First study of the two-body scattering involving charm hadrons. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.052010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Klempner S, Chao J, Uronis H, Sirard C, Kagey M, Baum J, Song J, Wang J, Sonbol M, Wainberg Z, Ajani J. 1213P DKN-01 and tislelizumab + chemotherapy as first-line (1L) investigational therapy in advanced gastroesophageal adenocarcinoma (GEA): DisTinGuish trial. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Zhao H, Du S, Zhu Z, Jiang L, Che X, Qian H, Song J, Liu D, Zhang Y, Zhang P, Sun Y, Zhang W, Tang Y. 724P Anti-PD-1 antibody SHR-1210 combined with apatinib as adjuvant treatment in patients with hepatocellular carcinoma at high risk of recurrence after radical resection: Preliminary results from a multicenter, randomized, controlled phase II trial. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Song J, Dong Y, Du CH, Zhang ZY, Shen MF, Zhang Y, Zhou JH, Li SZ. [Measurement of morphological features of Oncomelania hupensis shells in Yunnan Province]. ZHONGGUO XUE XI CHONG BING FANG ZHI ZA ZHI = CHINESE JOURNAL OF SCHISTOSOMIASIS CONTROL 2022; 34:341-351. [PMID: 36116923 DOI: 10.16250/j.32.1374.2022067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To investigate the morphological variation of Oncomelania hupensis shells in Yunnan Province, so as to provide insights into the understanding of O. hupensis genetic evolution and control. METHODS According to the O. hupensis density, geographical location, altitude, water system and environmental type, 12 administrative villages were sampled from 10 schistosomiasis-endemic counties (districts) in 3 prefectures (cities) of Yunnan Province as snail collection sites. From December 2021 to January 2022, about 200 snails were collected from each collection site, among which thirty adult snails (6 to 7 spirals) were randomly selected from each site, and the 11 morphological indexes of snail shells were measured and subjected to cluster analysis and principal component analysis. RESULTS Of O. hupensis snails from 12 localities of Yunnan Province, the longest shell (7.33 mm) was detected in snails from Yongle Village, Eryuan County, with the shortest (4.68 mm) in Dongyuan Village, Gucheng District, and the largest angle of apex (59.47°) was measured in snails from Caizhuang Village, Midu County, with the smallest (41.40°) in Qiandian Village, Eryuan County. The mean coefficient of variation was 9.075% among O. hupensis snails from 12 localities of Yunnan Province, with the largest coefficient of variation seen in the thickness of the labra brim (29.809%). Among O. hupensis snails from 12 localities of Yunnan Province, the mean Euclidean distance was 2.26, with the shortest Euclidean distance seen between O. hupensis snails from Qiandian Village of Eryuan County and Wuxing Village of Dali City (0.26), and the largest found between O. hupensis snails from Caizhuang Village of Midu County and Cangling Village of Chuxiong County (8.17). Cluster analysis and principal component analysis classified O. hupensis snails from 12 localities of Yunnan Province into three categories, including the O. hupensis snail samples from Caizhuang Village of Midu County, O. hupensis snail samples from Cangling Village of Chuxiong County, and O. hupensis snail samples from Qiandian Village of Eryuan County, Wuxing Village of Dali City, Yangwu Village of Yongsheng County, Xiaoqiao Village of Xiangyun County, Yongle Village of Eryuan County, Xiaocen Village of Dali City, Anding Village of Nanjian County, Dongyuan Village of Gucheng District, Lianyi Village of Heqing County, and Dianzhong Village of Weishan County. The variations in these three categories of snail samples were mainly measured in the principal component 2 related to the angle of apex and the thickness of the labra brim. CONCLUSIONS The variations in the Euclidean distance and morphological features of shells of O. hupensis from 12 localities of Yunnan Province gradually rise with the decrease in the latitude of the collection sites. The angle of apex is an indicator for the growth of O. hupensis whorl.
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Taberman H, Borges C, Crosas E, Chatziefthymiou S, Gruzinov A, Kistner B, Pompidor G, Song J, Hakanpää J. The high-throughput macromolecular crystallography beamline P11. ACTA CRYSTALLOGRAPHICA SECTION A FOUNDATIONS AND ADVANCES 2022. [DOI: 10.1107/s2053273322090040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2023]
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Ren Y, Song J, Li X, Luo N. Rationale and Clinical Research Progress on PD-1/PD-L1-Based Immunotherapy for Metastatic Triple-Negative Breast Cancer. Int J Mol Sci 2022; 23:ijms23168878. [PMID: 36012144 PMCID: PMC9408844 DOI: 10.3390/ijms23168878] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 07/26/2022] [Accepted: 08/04/2022] [Indexed: 01/23/2023] Open
Abstract
Metastatic triple-negative breast cancer (mTNBC), a highly aggressive and malignant tumor, currently lacks an effective treatment. There has been some progress in the treatment of mTNBC with programmed death receptor-1/programmed death ligand-1 (PD-1/PD-L1) immunotherapy in recent years. The combination of PD-1/PD-L1 inhibitors with other therapies is a noteworthy treatment strategy. Immunotherapy in combination with chemotherapy or small-molecule inhibitors still faces many challenges. Additionally, there are some new immunotherapy targets in development. We aimed to further evaluate the effectiveness and usefulness of immunotherapy for treating mTNBC and to propose new immunotherapy strategies. This review explains the rationale and results of existing clinical trials evaluating PD-1/PD-L1 inhibitors alone or in combination for the treatment of mTNBC. For patients with aggressive tumors and poor health, PD-1/PD-L1 inhibitors, either alone or in combination with other modalities, have proven to be effective. However, more research is needed to explore more effective immunotherapy regimens that will lead to new breakthroughs in the treatment of mTNBC.
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Song J, Mavraganis I, Shen W, Yang H, Cram D, Xiang D, Patterson N, Zou J. Transcriptome dissection of candidate genes associated with lentil seed quality traits. PLANT BIOLOGY (STUTTGART, GERMANY) 2022; 24:815-826. [PMID: 35395134 DOI: 10.1111/plb.13426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 03/29/2022] [Indexed: 06/14/2023]
Abstract
Lentils provide a rich plant-based protein source and staple food in many parts of the world. Despite numerous nutritional benefits, lentil seeds also possess undesirable elements, such as anti-nutritional factors. Understanding the genetic networks of seed metabolism is of great importance for improving the seed nutritional profile. We applied RNA sequencing analysis to survey the transcriptome of developing lentil seeds and compared this with that of the pod shells and leaves. In total, we identified 2622 genes differentially expressed among the tissues examined. Genes preferentially expressed in seeds were enriched in the Gene Ontology (GO) terms associated with development, nitrogen and carbon (N/C) metabolism and lipid synthesis. We further categorized seed preferentially expressed genes based on their involvement in storage protein production, starch accumulation, lipid and suberin metabolism, phytate, saponin and phenylpropanoid biosynthesis. The availability of transcript profile datasets on lentil seed metabolism and a roadmap of candidate genes presented here will be of great value for breeding strategies towards further improvement of lentil seed quality traits.
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