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He C, Li R, Yang J, Shen H, Wang Y, Chen X, Luo W, Zeng Q, Ma L, Song Y, Cheng Q, Wang Z, Wu FF, Li Q, Yang S, Hu J. Optimizing the aldosterone-to-renin ratio cut-off for screening primary aldosteronism based on cardiovascular risk: a collaborative study. Clin Exp Hypertens 2024; 46:2301571. [PMID: 38270079 DOI: 10.1080/10641963.2023.2301571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 12/28/2023] [Indexed: 01/26/2024]
Abstract
OBJECTIVES Aldosterone-to-renin ratio (ARR) based screening is the first step in the diagnosis of primary aldosteronism (PA). However, the guideline-recommended ARR cutoff covers a wide range, from the equivalent of 1.3 to 4.9 ng·dl-1/mIU∙l-1. We aimed to optimize the ARR cutoff for PA screening based on the risk of cardiovascular diseases (CVD). METHODS Longitudinally, we included hypertensive participants from the Framingham Offspring Study (FOS) who attended the sixth examination cycle and followed up until 2014. At baseline (1995-1998), we used circulating concentrations of aldosterone and renin to calculate ARR (unit: ng·dl-1/mIU∙l-1) among 1,433 subjects who were free of CVD. We used spline regression to calculate the ARR threshold based on the incident CVD. We used cross-sectional data from the Chongqing Primary Aldosteronism Study (CONPASS) to explore whether the ARR cutoff selected from FOS is applicable to PA screening. RESULTS In FOS, CVD risk increased with an increasing ARR until a peak of ARR 1.0, followed by a plateau in CVD risk (hazard ratio 1.49, 95%CI 1.19-1.86). In CONPASS, when compared to essential hypertension with ARR < 1.0, PA with ARR ≥ 1.0 carried a higher CVD risk (odds ratio 2.24, 95%CI 1.41-3.55), while essential hypertension with ARR ≥ 1.0 had an unchanged CVD risk (1.02, 0.62-1.68). Setting ARR cutoff at 2.4 ~ 4.9, 10% ~30% of PA subjects would be unrecognized although they carried a 2.45 ~ 2.58-fold higher CVD risk than essential hypertension. CONCLUSIONS The CVD risk-based optimal ARR cutoff is 1.0 ng·dl-1/mIU∙l-1 for PA screening. The current guideline-recommended ARR cutoff may miss patients with PA and high CVD risk. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov (NCT03224312).
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Shi X, Zhang Z, Yin F, Liu W, Wang Y, Zhou X, Xu Y, Chen X, Zhu X. Cardiac magnetic resonance imaging (MRI) for detecting acute myocardial injury of fulminant myocarditis survivors after extracorporeal membrane oxygenation (ECMO) treatment in adults. Clin Radiol 2024; 79:589-598. [PMID: 38797607 DOI: 10.1016/j.crad.2024.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/13/2024] [Accepted: 05/03/2024] [Indexed: 05/29/2024]
Abstract
AIMS To detect the acute myocardial injury in fulminant myocarditis (FM) survivors after extracorporeal membrane oxygenation (ECMO) and to demonstrate its significant differences from non-FM patients by cardiac magnetic resonance (CMR). MATERIALS AND METHODS This retrospective study enrolled 59 patients with acute myocarditis (AM), including 35 non-FM patients, 24 FM patients, and 54 controls. The peak value of cardiac troponin T (cTnT) was recorded. Tissue parameters, including native T1, extracellular volume (ECV), late gadolinium-enhancement (LGE)%, and T2 by CMR were assessed. RESULTS The mean age was 35 ± 14 years, and 45.8% of the population were males in the AM group. Patients had higher levels of peak cTnT, peak NT-proBNP and peak C-reactive protein in the FM group (all p<0.05). Comparing with non-FM, the values of T1-based imaging parameters were significantly higher in the FM group (all p<0.05). In contrast, no difference was observed among the two groups in terms of T2 value (p=0.707). The septal area was more frequently involved in FM survivors after ECMO treatment, both in T1 and T2-based images. In addition, the cubic relationship was the relative best fit of LGE% against logcTnT and indicated that cTnT value exceeding 300ng/L exhibited a rapid upward trend of LGE%. CONCLUSION Comparing to non-FM, higher myocardial necrosis and fibrosis but similar edema determined by T1 and T2 based imaging was found in FM survivors after ECMO treatment. Furthermore, the inter-ventricular septal area was more frequently involved by acute myocardial injury in FM survivors after ECMO treatment. In addition, LGE% showed an overall increasing trend with cTnT values elevating with rapidly increasing with cTnT exceeding 300 ng/L.
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Hussain PS, Jeitler M, Krammer N, Li A, Liko D, Mikulec I, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Van Mechelen P, Bols ES, D’Hondt J, Dansana S, De Moor A, Delcourt M, Lowette S, Makarenko I, Müller D, Tavernier S, Tytgat M, Van Onsem GP, Van Putte S, Vannerom D, Clerbaux B, Das AK, De Lentdecker G, Evard H, Favart L, Gianneios P, Hohov D, Jaramillo J, Khalilzadeh A, Khan FA, Lee K, Mahdavikhorrami M, Malara A, Paredes S, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, De Coen M, Dobur D, Hong Y, Knolle J, Lambrecht L, Mestdach G, Amarilo KM, Rendón C, Samalan A, Skovpen K, Van Den Bossche N, van der Linden J, Wezenbeek L, Benecke A, Bethani A, Bruno G, Caputo C, Delaere C, Donertas IS, Giammanco A, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Tran TT, Wertz S, Alves GA, Coelho E, Hensel C, De Oliveira TM, Moraes A, Teles PR, Soeiro M, Júnior WLA, Pereira MAG, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, De Souza SF, De Souza RG, Martins J, Herrera CM, Mundim L, Nogima H, Pinheiro JP, Santoro A, Sznajder A, Thiel M, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Orzari B, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Shopova M, Sultanov G, Dimitrov A, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Javaid T, Yuan L, Hu Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Agapitos A, Ban Y, Levin A, Li C, Li Q, Mao Y, Qian SJ, Sun X, Wang D, Yang H, Zhang L, Zhou C, You Z, Jaffel K, Lu N, Bauer G, Gao X, Lin Z, Lu C, Xiao M, Avila C, Trujillo DAB, Cabrera A, Florez C, Fraga J, Vega JAR, Guisao JM, Ramirez F, Rodriguez M, Alvarez JDR, Giljanovic D, Godinovic N, Lelas D, Sculac A, Kovac M, Sculac T, Bargassa P, Brigljevic V, Chitroda BK, Ferencek D, Jakovcic K, Mishra S, Starodumov A, Susa T, Attikis A, Christoforou K, Hadjiagapiou A, Konstantinou S, Mousa J, Nicolaou C, Paizanos L, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Jarrin EC, Abdalla H, Assran Y, Al-Mashad MA, Mahmoud MA, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Kallonen KTS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, de Monchenault GH, Lohezic V, Malcles J, Orlandi F, Portales L, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Tornago M, Beaudette F, Perraguin AB, Busson P, Cappati A, Charlot C, Chiusi M, Damas F, Davignon O, De Wit A, Ehle IT, Alves BAFS, Ghosh S, Gilbert A, de Cassagnac RG, Hakimi A, Harikrishnan B, Kalipoliti L, Liu G, Motta J, Nguyen M, Ochando C, Salerno R, Sauvan JB, Sirois Y, Tarabini A, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Brom JM, Chabert EC, Collard C, Falke S, Goerlach U, Grimault C, Haeberle R, Bihan ACL, Meena M, Saha G, Sessini MA, Van Hove P, Beauceron S, Blancon B, Boudoul G, Chanon N, Contardo D, Depasse P, Dozen C, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Greenberg C, Grenier G, Ille B, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Purohit A, Vander Donckt M, Verdier P, Xiao J, Adamov G, Lomidze I, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Engelke F, Erdmann J, Erdmann M, Fackeldey P, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Jung A, Lee MY, Mausolf F, Merschmeyer M, Meyer A, Mukherjee S, Noll D, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Rehm F, Reithler H, Sarkar U, Sarkisovi V, Schmidt A, Sharma A, Spah JL, Stein A, Da Silva De Araujo FT, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Petersen HA, Martin MA, Alimena J, Amoroso S, An Y, Baxter S, Bayatmakou M, Gonzalez HB, Behnke O, Belvedere A, Bhattacharya S, Blekman F, Borras K, Campbell A, Cardini A, Cheng C, Colombina F, Rodríguez SC, Silva GC, De Silva M, Eckerlin G, Eckstein D, Banos LIE, Filatov O, Gallo E, Geiser A, Giraldi A, Guglielmi V, Guthoff M, Hinzmann A, Jafari A, Jeppe L, Kaech B, Kasemann M, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Pernia DL, Lipka K, Lohmann W, Lorkowski F, Mankel R, Melzer-Pellmann IA, Morentin MM, Meyer AB, Milella G, Mussgiller A, Nair LP, Nürnberg A, Otarid Y, Park J, Adán DP, Ranken E, Raspereza A, Rastorguev D, Lopes BR, Rübenach J, Saggio A, Scham M, Schnake S, Schütze P, Schwanenberger C, Selivanova D, Sharko K, Shchedrolosiev M, Ricardo RES, Stafford D, Vazzoler F, Barroso AV, Walsh R, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Yang Y, Santos AZC, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bollweg S, Bonanomi M, Connor P, Morabit KE, Fischer Y, Garutti E, Grohsjean A, Haller J, Jabusch HR, Kasieczka G, Keicher P, Klanner R, Korcari W, Kramer T, Kutzner V, Labe F, Lange J, Lobanov A, Matthies C, Moureaux L, Mrowietz M, Nigamova A, Nissan Y, Paasch A, Rodriguez KJP, Quadfasel T, Raciti B, Rieger M, Savoiu D, Schindler J, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gottmann A, Hartmann F, Hofsaess R, Horzela M, Husemann U, Kieseler J, Klute M, Koppenhöfer R, Lawhorn JM, Link M, Lintuluoto A, Maier B, Maier S, Mitra S, Mormile M, Müller T, Neukum M, Oh M, Pfeffer E, Presilla M, Quast G, Rabbertz K, Regnery B, Shadskiy N, Shvetsov I, Simonis HJ, Toms M, Trevisani N, Von Cube RF, Wassmer M, Wieland S, Wittig F, Wolf R, Zuo X, Anagnostou G, Daskalakis G, Kyriakis A, Papadopoulos A, Stakia A, Kontaxakis P, Melachroinos G, Painesis Z, Panagiotou A, Papavergou I, Paraskevas I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Zisopoulos I, Bakas G, Chatzistavrou T, Karapostoli G, Kousouris K, Papakrivopoulos I, Siamarkou E, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Kamtsikis C, Katsoulis P, Kokkas P, Kioseoglou PGK, Manthos N, Papadopoulos I, Strologas J, Bartók M, Hajdu C, Horvath D, Márton K, Rádl AJ, Sikler F, Veszpremi V, Csanád M, Farkas K, Gadallah MMA, Kadlecsik Á, Major P, Mandal K, Pásztor G, Veres GI, Raics P, Ujvari B, Zilizi G, Bencze G, Czellar S, Molnar J, Szillasi Z, Csorgo T, Nemes F, Novak T, Babbar J, Bansal S, Beri SB, Bhatnagar V, Chaudhary G, Chauhan S, Dhingra N, Kaur A, Kaur A, Kaur H, Kaur M, Kumar S, Sandeep K, Sheokand T, Singh JB, Singla A, Ahmed A, Bhardwaj A, Chhetri A, Choudhary BC, Kumar A, Kumar A, Naimuddin M, Ranjan K, Saumya S, Baradia S, Barman S, Bhattacharya S, Dutta S, Dutta S, Sarkar S, Ameen MM, Behera PK, Behera SC, Chatterjee S, Jana P, Kalbhor P, Komaragiri JR, Kumar D, Pujahari PR, Saha NR, Sharma A, Sikdar AK, Verma S, Dugad S, Kumar M, Mohanty GB, Suryadevara P, Bala A, Banerjee S, Chatterjee RM, Dewanjee RK, Guchait M, Jain S, Jaiswal A, Kumar S, Majumder G, Mazumdar K, Parolia S, Thachayath A, Bahinipati S, Kar C, Maity D, Mal P, Mishra T, Bindhu VKMN, Naskar K, Nayak A, Sadangi P, Swain SK, Varghese S, Vats D, Acharya S, Alpana A, Dube S, Gomber B, Hazarika P, Kansal B, Laha A, Sahu B, Sharma S, Vaish KY, Bakhshiansohi H, Khazaie E, Zeinali M, Bashiri S, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Tizchang S, Grunewald M, Abbrescia M, Aly R, Colaleo A, Creanza D, D’Anzi B, De Filippis N, De Palma M, Florio AD, Elmetenawee W, Fiore L, Iaselli G, Louka M, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, My S, Nuzzo S, Pellecchia A, Pompili A, Pugliese G, Radogna R, Ramirez-Sanchez G, Ramos D, Ranieri A, Silvestris L, Simone FM, Sözbilir Ü, Stamerra A, Venditti R, Verwilligen P, Zaza A, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Capiluppi P, Castro A, Cavallo FR, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Fasanella D, Giacomelli P, Giommi L, Grandi C, Guiducci L, Meo SL, Lunerti L, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rossi AM, Rovelli T, Siroli GP, Costa S, Mattia AD, Potenza R, Tricomi A, Tuve C, Assiouras P, Barbagli G, Bardelli G, Camaiani B, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D’Alessandro R, Focardi E, Kello T, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Papanastassiou A, Sguazzoni G, Viliani L, Benussi L, Bianco S, Meola S, Piccolo D, Chatagnon P, Ferro F, Robutti E, Tosi S, Benaglia A, Boldrini G, Brivio F, Cetorelli F, De Guio F, Dinardo ME, Dini P, Gennai S, Gerosa R, Ghezzi A, Govoni P, Guzzi L, Lucchini MT, Malberti M, Malvezzi S, Massironi A, Menasce D, Moroni L, Paganoni M, Palluotto S, Pedrini D, Pinolini BS, Pizzati G, Ragazzi S, de Fatis TT, Buontempo S, Cagnotta A, Carnevali F, Cavallo N, Fabozzi F, Iorio AOM, Lista L, Paolucci P, Rossi B, Sciacca C, Ardino R, Azzi P, Bacchetta N, Benettoni M, Bisello D, Bortignon P, Bortolato G, Bragagnolo A, Bulla ACM, Carlin R, Checchia P, Dorigo T, Gasparini U, Lusiani E, Margoni M, Marini F, Meneguzzo AT, Migliorini M, Pazzini J, Ronchese P, Rossin R, Simonetto F, Strong G, Tosi M, Triossi A, Ventura S, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Zeid SA, Aimè C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Re V, Riccardi C, Salvini P, Vai I, Vitulo P, Ajmal S, Bilei GM, Ciangottini D, Fanò L, Magherini M, Mariani V, Menichelli M, Moscatelli F, Rossi A, Santocchia A, Spiga D, Tedeschi T, Asenov P, Azzurri P, Bagliesi G, Bhattacharya R, Bianchini L, Boccali T, Bossini E, Bruschini D, Castaldi R, Ciocci MA, Cipriani M, D’Amante V, Dell’Orso R, Donato S, Giassi A, Ligabue F, Figueiredo DM, Messineo A, Musich M, Palla F, Rizzi A, Rolandi G, Chowdhury SR, Sarkar T, Scribano A, Spagnolo P, Tenchini R, Tonelli G, Turini N, Vaselli F, Venturi A, Verdini PG, Barrera CB, Barria P, Basile C, Campana M, Cavallari F, Mendez LC, Del Re D, Marco ED, Diemoz M, Errico F, Longo E, Meridiani P, Mijuskovic J, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, Borca C, Cartiglia N, Costa M, Covarelli R, Demaria N, Finco L, Grippo M, Kiani B, Legger F, Luongo F, Mariotti C, Markovic L, Maselli S, Mecca A, Migliore E, Monteno M, Mulargia R, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Ruspa M, Siviero F, Sola V, Solano A, Staiano A, Tarricone C, Trocino D, Umoret G, Vlasov E, White R, Belforte S, Candelise V, Casarsa M, Cossutti F, De Leo K, Della Ricca G, Dogra S, Hong J, Huh C, Kim B, Kim DH, Kim J, Lee H, Lee SW, Moon CS, Oh YD, Ryu MS, Sekmen S, Yang YC, Kim MS, Bak G, Gwak P, Kim H, Moon DH, Asilar E, Choi J, Kim D, Kim TJ, Merlin JA, Choi S, Han S, Hong B, Lee K, Lee KS, Lee S, Park J, Park SK, Yoo J, Goh J, Yang S, Kim HS, Kim Y, Lee S, Almond J, Bhyun JH, Choi J, Jun W, Kim J, Ko S, Kwon H, Lee H, Lee J, Lee J, Oh BH, Oh SB, Seo H, Yang UK, Yoon I, Jang W, Kang DY, Kang Y, Kim S, Ko B, Lee JSH, Lee Y, Park IC, Roh Y, Watson IJ, Ha S, Yoo HD, Choi M, Kim MR, Lee H, Lee Y, Yu I, Beyrouthy T, Dreimanis K, Gaile A, Pikurs G, Potrebko A, Seidel M, Strautnieks NR, Ambrozas M, Juodagalvis A, Rinkevicius A, Tamulaitis G, Norjoharuddeen NB, Yusuff I, Zolkapli Z, Benitez JF, Hernandez AC, Acosta HAE, Maríñez LGG, Coello ML, Quijada JAM, Sehrawat A, Palomo LV, Ayala G, Castilla-Valdez H, Ledesma HC, De La Cruz-Burelo E, La Cruz IHD, Lopez-Fernandez R, Herrera CAM, Hernández AS, Barrera CO, García MR, Bautista I, Pedraza I, Ibarguen HAS, Estrada CU, Bubanja I, Raicevic N, Butler PH, Ahmad A, Asghar MI, Awais A, Awan MIM, Hoorani HR, Khan WA, Avati V, Grzanka L, Malawski M, Bialkowska H, Bluj M, Boimska B, Górski M, Kazana M, Szleper M, Zalewski P, Bunkowski K, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Muhammad A, Pozniak K, Zabolotny W, Araujo M, Bastos D, Da Cruz E Silva CB, Boletti A, Bozzo M, Camporesi T, Da Molin G, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Petrilli A, Pisano M, Seixas J, Varela J, Wulff JW, Adzic P, Milenovic P, Dordevic M, Milosevic J, Rekovic V, Aguilar-Benitez M, Maestre JA, Bedoya CF, Carretero OM, Cepeda M, Cerrada M, Colino N, De La Cruz B, Peris AD, Del Valle AE, Del Val DF, Ramos JPF, Flix J, Fouz MC, Lopez OG, Lopez SG, Hernandez JM, Josa MI, Moran D, Perez CMM, Tobar ÁN, Dengra CP, Yzquierdo APC, Pelayo JP, Redondo I, Ferrero DDR, Romero L, Navas SS, Gómez LU, Escobar JV, Willmott C, de Trocóniz JF, Gonzalez BA, Cuevas J, Menendez JF, Folgueras S, Caballero IG, Fernández JRG, Leguina P, Cortezon EP, Álvarez CR, Bouza VR, Rodríguez AS, Trapote A, Villalba CV, Vischia P, Bhowmik S, Fernández SB, Cifuentes JAB, Cabrillo IJ, Calderon A, Campderros JD, Fernandez M, Gomez G, García CL, Ruiz RL, Rivero CM, del Arbol PMR, Matorras F, Cuevas PM, Ramos EN, Gomez JP, Scodellaro L, Vila I, Garcia JMV, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Abbaneo D, Amendola C, Auffray E, Auzinger G, Baechler J, Barney D, Martínez AB, Bianco M, Bilin B, Anuar AAB, Bocci A, Botta C, Brondolin E, Caillol C, Cerminara G, Chernyavskaya N, d’Enterria D, Dabrowski A, David A, De Roeck A, Defranchis MM, Deile M, Dobson M, Forthomme L, Franzoni G, Funk W, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Haranko M, Hegeman J, Huber B, Innocente V, James T, Janot P, Kaluzinska O, Laurila S, Lecoq P, Leutgeb E, Lourenço C, Malgeri L, Mannelli M, Marini AC, Matthewman M, Mehta A, Meijers F, Mersi S, Meschi E, Milosevic V, Monti F, Moortgat F, Mulders M, Neutelings I, Orfanelli S, Pantaleo F, Petrucciani G, Pfeiffer A, Pierini M, Piparo D, Qu H, Rabady D, Rovere M, Sakulin H, Scarfi S, Schwick C, Selvaggi M, Sharma A, Shchelina K, Silva P, Sphicas P, Leiton AGS, Steen A, Summers S, Treille D, Tropea P, Tsirou A, Walter D, Wanczyk J, Wang J, Wuchterl S, Zehetner P, Zejdl P, Zeuner WD, Bevilacqua T, Caminada L, Ebrahimi A, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Lange C, Missiroli M, Noehte L, Rohe T, Aarrestad TK, Androsov K, Backhaus M, Bonomelli G, Calandri A, Cazzaniga C, Datta K, De Cosa A, Dissertori G, Dittmar M, Donegà M, Eble F, Galli M, Gedia K, Glessgen F, Grab C, Härringer N, Harte TG, Hits D, Lustermann W, Lyon AM, Manzoni RA, Marchegiani M, Marchese L, Perez CM, Mascellani A, Nessi-Tedaldi F, Pauss F, Perovic V, Pigazzini S, Reissel C, Reitenspiess T, Ristic B, Riti F, Seidita R, Steggemann J, Valsecchi D, Wallny R, Amsler C, Bärtschi P, Canelli MF, Cormier K, Heikkilä JK, Huwiler M, Jin W, Jofrehei A, Kilminster B, Leontsinis S, Liechti SP, Macchiolo A, Meiring P, Molinatti U, Reimers A, Robmann P, Cruz SS, Senger M, Shokr E, Stäger F, Takahashi Y, Tramontano R, Adloff C, Bhowmik D, Kuo CM, Lin W, Rout PK, Tiwari PC, Yu SS, Ceard L, Chao Y, Chen KF, Chen PS, Chen ZG, De Iorio A, Hou WS, Hsu TH, Kao YW, Karmakar S, Khurana R, Kole G, Li YY, Lu RS, Paganis E, Su XF, Thomas-Wilsker J, Tsai LS, Wu HY, Yazgan E, Asawatangtrakuldee C, Srimanobhas N, Wachirapusitanand V, Agyel D, Boran F, Demiroglu ZS, Dolek F, Dumanoglu I, Eskut E, Guler Y, Guler EG, Isik C, Kara O, Topaksu AK, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Tali B, Tok UG, Turkcapar S, Uslan E, Zorbakir IS, Sokmen G, Yalvac M, Akgun B, Atakisi IO, Gülmez E, Kaya M, Kaya O, Tekten S, Cakir A, Cankocak K, Dincer GG, Komurcu Y, Sen S, Aydilek O, Cerci S, Epshteyn V, Hacisahinoglu B, Hos I, Kaynak B, Ozkorucuklu S, Potok O, Sert H, Simsek C, Zorbilmez C, Isildak B, Cerci DS, Boyaryntsev A, Grynyov B, Levchuk L, Anthony D, Brooke JJ, Bundock A, Bury F, Clement E, Cussans D, Flacher H, Glowacki M, Goldstein J, Heath HF, Holmberg ML, Kreczko L, Paramesvaran S, Robertshaw L, Nasr-Storey SSE, Smith VJ, Stylianou N, Pass KW, Ball AH, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Cooke C, Ellis KV, Harder K, Harper S, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Sahasransu AR, Salvi G, Schuh T, Shepherd-Themistocleous CH, Tomalin IR, Williams T, Bainbridge R, Bloch P, Brown CE, Buchmuller O, Cacchio V, Montoya CAC, Chahal GS, Colling D, Dancu JS, Das I, Dauncey P, Davies G, Davies J, Della Negra M, Fayer S, Fedi G, Hall G, Hassanshahi MH, Howard A, Iles G, Knight M, Langford J, Holgado JL, Lyons L, Magnan AM, Malik S, Mieskolainen M, Nash J, Pesaresi M, Radburn-Smith BC, Richards A, Rose A, Savva K, Seez C, Shukla R, Tapper A, Uchida K, Uttley GP, Vage LH, Virdee T, Vojinovic M, Wardle N, Winterbottom D, Coldham K, Cole JE, Khan A, Kyberd P, Reid ID, Abdullin S, Brinkerhoff A, Caraway B, Collins E, Dittmann J, Hatakeyama K, Hiltbrand J, McMaster B, Sawant S, Sutantawibul C, Wilson J, Bartek R, Dominguez A, Escamilla CH, Simsek AE, Uniyal R, Hernandez AMV, Bam B, Chudasama R, Cooper SI, Gleyzer SV, Perez CU, Rumerio P, Usai E, Yi R, Akpinar A, Arcaro D, Cosby C, Demiragli Z, Erice C, Fangmeier C, Madrazo CF, Fontanesi E, Gastler D, Golf F, Jeon S, Reed I, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Tsatsos A, Yuan S, Zecchinelli AG, Benelli G, Coubez X, Cutts D, Hadley M, Heintz U, Hogan JM, Kwon T, Landsberg G, Lau KT, Li D, Luo J, Mondal S, Narain M, Pervan N, Sagir S, Simpson F, Stamenkovic M, Venkatasubramanian N, Yan X, Zhang W, Abbott S, Bonilla J, Brainerd C, Breedon R, Cai H, De La Barca Sanchez MC, Chertok M, Citron M, Conway J, Cox PT, Erbacher R, Jensen F, Kukral O, Mocellin G, Mulhearn M, Pellett D, Wei W, Yao Y, Zhang F, Bachtis M, Cousins R, Datta A, Avila GF, Hauser J, Ignatenko M, Iqbal MA, Lam T, Manca E, Del Prado AN, Saltzberg D, Valuev V, Clare R, Gary JW, Gordon M, Hanson G, Si W, Wimpenny S, Branson JG, Cittolin S, Cooperstein S, Diaz D, Duarte J, Giannini L, Guiang J, Kansal R, Krutelyov V, Lee R, Letts J, Masciovecchio M, Mokhtar F, Mukherjee S, Pieri M, Quinnan M, Narayanan BVS, Sharma V, Tadel M, Vourliotis E, Würthwein F, Xiang Y, Yagil A, Barzdukas A, Brennan L, Campagnari C, Incandela J, Kim J, Li AJ, Masterson P, Mei H, Richman J, Sarica U, Schmitz R, Setti F, Sheplock J, Stuart D, Vámi TÁ, Wang S, Bornheim A, Cerri O, Latorre A, Mao J, Newman HB, Gutiérrez GR, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Cremonesi M, Dutta V, Ferguson T, Harilal A, Liu C, Mudholkar T, Murthy S, Palit P, Paulini M, Roberts A, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hart A, Hassani A, Karathanasis G, Manganelli N, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Zuolo D, Alexander J, Bright-Thonney S, Chen X, Cranshaw DJ, Fan J, Fan X, Hogan S, Kotamnives P, Monroy J, Oshiro M, Patterson JR, Reichert J, Reid M, Ryd A, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Amram O, Apollinari G, Apresyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cummings G, Dickinson J, Dutta I, Elvira VD, Feng Y, Freeman J, Gandrakota A, Gecse Z, Gray L, Green D, Grummer A, Grünendahl S, Guerrero D, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Horyn L, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, Noonan D, Papadimitriou V, Pastika N, Pedro K, Pena C, Ravera F, Hall AR, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Stoynev S, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Whitbeck A, Zoi I, Aruta C, Avery P, Bourilkov D, Cadamuro L, Chang P, Cherepanov V, Field RD, Koenig E, Kolosova M, Konigsberg J, Korytov A, Matchev K, Menendez N, Mitselmakher G, Mohrman K, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Wang J, Adams T, Kadhim AA, Askew A, Bower S, Habibullah R, Hagopian V, Hashmi R, Kim RS, Kim S, Kolberg T, Martinez G, Prosper H, Prova PR, Wulansatiti M, Yohay R, Zhang J, Alsufyani B, Baarmand MM, Butalla S, Das S, Elkafrawy T, Hohlmann M, Verma RK, Rahmani M, Yanes E, Adams MR, Baty A, Bennett C, Cavanaugh R, Franco RE, Evdokimov O, Gerber CE, Hawksworth M, Hingrajiya A, Hofman DJ, Lee JH, Lemos DS, Merrit AH, Mills C, Nanda S, Oh G, Ozek B, Pilipovic D, Pradhan R, Prifti E, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wadud MA, Ye Z, Yoo J, Alhusseini M, Blend D, Dilsiz K, Emediato L, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kang L, Kyriacou S, Maksimovic P, Roguljic M, Roskes J, Sekhar S, Swartz M, Abreu A, Alcerro LFA, Anguiano J, Baringer P, Bean A, Flowers Z, Grove D, King J, Krintiras G, Lazarovits M, Mahieu CL, Marquez J, Minafra N, Murray M, Nickel M, Pitt M, Popescu S, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Gurunadha RG, Ivanov A, Kaadze K, Kalogeropoulos A, Maravin Y, Natoli J, Roy D, Sorrentino G, Rebassoo F, Wright D, Baden A, Belloni A, Chen YM, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Paranjpe MM, Wang L, Bendavid J, Cali IA, D’Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Grosso G, Harris P, Hoang D, Kovalskyi D, Krupa J, Lavezzo L, Lee YJ, Long K, Novak A, Paus C, Rankin D, Roland C, Roland G, Rothman S, Stephans GSF, Wang Z, Wyslouch B, Yang TJ, Crossman B, Joshi BM, Kapsiak C, Krohn M, Mahon D, Mans J, Marzocchi B, Pandey S, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Cremaldi LM, Bloom K, Claes DR, Haza G, Hossain J, Joo C, Kravchenko I, Siado JE, Tabb W, Vagnerini A, Wightman A, Yan F, Yu D, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, Morris M, Nguyen D, Rappoccio S, Sfar HR, Williams A, Alverson G, Barberis E, Dervan J, Haddad Y, Han Y, Krishna A, Li J, Lu M, Madigan G, Mccarthy R, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Wood D, Bueghly J, Chen Z, Dittmer S, Hahn KA, Liu Y, Miao Y, Monk DG, Schmitt MH, Taliercio A, Velasco M, Agarwal G, Band R, Bucci R, Castells S, Das A, Goldouzian R, Hildreth M, Ho KW, Anampa KH, Ivanov T, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Moore C, Musienko Y, Nelson H, Osherson M, Piccinelli A, Ruchti R, Townsend A, Wan Y, Wayne M, Yockey H, Zarucki M, Zygala L, Basnet A, Bylsma B, Carrigan M, Durkin LS, Hill C, Joyce M, Ornelas MN, Wei K, Winer BL, Yates BR, Addesa FM, Bouchamaoui H, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Kopp G, Kwan S, Lange D, Loeliger A, Marlow D, Ojalvo I, Olsen J, Shevelev A, Stickland D, Tully C, Malik S, Bakshi AS, Barnes VE, Chandra S, Chawla R, Gu A, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Scheurer V, Schulte JF, Stojanovic M, Thieman J, Virdi AK, Wang F, Xie W, Dolen J, Parashar N, Pathak A, Acosta D, Carnahan T, Ecklund KM, Manteca PJF, Freed S, Gardner P, Geurts FJM, Li W, Colin OM, Padley BP, Redjimi R, Rotter J, Yigitbasi E, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Parmar N, Parygin P, Popova E, Taus R, Goulianos K, Chiarito B, Chou JP, Clark SV, Gadkari D, Gershtein Y, Halkiadakis E, Heindl M, Houghton C, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Routray H, Saha P, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Vora J, Wang H, Acharya H, Ally D, Delannoy AG, Fiorendi S, Higginbotham S, Holmes T, Kanuganti AR, Karunarathna N, Lee L, Nibigira E, Spanier S, Aebi D, Ahmad M, Bouhali O, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Hussain A, Kazhykarim Y, Lamichhane K, Lee SW, Mankel A, Peltola T, Volobouev I, Appelt E, Chen Y, Greene S, Gurrola A, Johns W, Elayavalli RK, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Hakala J, Hirosky R, Ledovskoy A, Neu C, Lara CEP, Bhattacharya S, Karchin PE, Aravind A, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loveless R, Sreekala JM, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pétré L, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Azhgirey I, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chadeeva M, Chekhovsky V, Chistov R, Dermenev A, Dimova T, Druzhkin D, Dubinin M, Dudko L, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Ivanov Y, Kachanov V, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Perfilov M, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Ryutin R, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vorobyev A, Vorotnikov G, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Search for Z Z and Z H production in the b b ¯ b b ¯ final state using proton-proton collisions at s = 13 Te V. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2024; 84:712. [PMID: 39072493 PMCID: PMC11271353 DOI: 10.1140/epjc/s10052-024-13021-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 06/11/2024] [Indexed: 07/30/2024]
Abstract
A search forZ Z andZ H production in theb b ¯ b b ¯ final state is presented, where H is the standard model (SM) Higgs boson. The search uses an event sample of proton-proton collisions corresponding to an integrated luminosity of 133fb - 1 collected at a center-of-mass energy of 13Te V with the CMS detector at the CERN LHC. The analysis introduces several novel techniques for deriving and validating a multi-dimensional background model based on control samples in data. A multiclass multivariate classifier customized for theb b ¯ b b ¯ final state is developed to derive the background model and extract the signal. The data are found to be consistent, within uncertainties, with the SM predictions. The observed (expected) upper limits at 95% confidence level are found to be 3.8 (3.8) and 5.0 (2.9) times the SM prediction for theZ Z andZ H production cross sections, respectively.
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Grants
- SC
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Estonian Research Council via PRG780, PRG803, RVTT3 and TK202
- Ministry of Education and Research via TK202
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Shota Rustaveli National Science Foundation
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Office
- Department of Atomic Energy
- Department of Science and Technology
- ICSC -National Research Centre for High Performance Computing, Big Data and Quantum Computing, funded by the NextGenerationEU program
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Research Council of Lithuania (LMTLT), agreement No. VS-19
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Educaton and Science
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- Plan de Ciencia, Tecnología e Innovación del Principado de Asturias
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Ministry of Higher Education, Science, Research and Innovation
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Science Committee, project no. 22rl-037
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, "Excellence of Science - EOS" - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, "Excellence of Science - EOS" - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Fundamental Research Funds for the Central Universities
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy - EXC 2121 "Quantum Universe" – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Hellenic Foundation for Research and Innovation, Project Number 2288
- Hungarian Academy of Sciences
- New National Excellence Program - ÚNKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary);
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- Ministy of Education and Science, project no. 2022/WK/14
- National Science Center, Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Programa Severo Ochoa del Principado de Asturias
- CUAASC
- National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B37G660013
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- University of Sofia, Sofia
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Grille de Recherche d’Ile de France (GRIF), Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette, France and Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- INFN Sezione di Trieste, Università di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- Instrumentation and Detector Consortium, Taipei
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- GridPP, University of Oxford, Oxford
- Baylor University, Waco
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- San Diego Supercomputer Center (SDSC), La Jolla
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
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Xue R, Tang X, Tang J, Zhang S, Liao X, Chen X, Li L, Li X. Climbing Fiber Activation Induced by Footshock in the Cerebellar Vermis Lobule IV/V of Freely Moving Mice. Physiol Res 2024; 73:449-459. [PMID: 39027961 DOI: 10.33549/physiolres.935203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2024] Open
Abstract
Parallel fibers (PFs) in the cerebellar cortex are involved in a series of coordinated responses in the fear conditioning paradigm induced by footshock. However, whether footshock can activate cerebellar climbing fibers (CFs) remains unclear. In this study, we recorded calcium (Ca2+) activity in CFs by optical fiber photometry in the cerebellar vermis lobule IV/V of freely moving mice with footshock stimulation. We found that the activation of CFs in the lobule IV/V was highly correlated with footshock stimulation but not with the sound stimulation used as a control. This result suggests that afferent information from CFs might be associated with the motor initiation of fear-related behaviors or fear emotion itself. Thus, our results suggest that a characteristic CF signal in the cerebellar cortex might be related to fear processing or footshock-related behaviors (such as startle responses or pain sensation).
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Liu CM, Chen YL, Wang XC, Li XL, An WB, Wan Y, Ren YY, Chen X, Liu F, Guo Y, Chen XJ, Zhang L, Zou Y, Chen YM, Li J, Guo XJ, Zhu XF, Yang WY. [Clinical features and prognostic factors of advanced myelodysplastic syndromes in children]. ZHONGHUA YI XUE ZA ZHI 2024; 104:2529-2534. [PMID: 38978377 DOI: 10.3760/cma.j.cn112137-20240102-00011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Objective: To investigate the clinical features and prognostic factors of advanced myelodysplastic syndromes (MDS) in children. Methods: Clinical data of children diagnosed with advanced MDS in the Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences, between September 2009 and April 2022 were retrospectively collected. Follow-up assessments were performed through telephone interviews and the review of medical records until May 1, 2023. The clinical features of children with advanced MDS were summarized by analyzing chromosomal karyotype tests, second-generation gene sequencing results. Multivariate Cox regression analysis was used to investigate the prognostic factors of advanced MDS in children. Results: A total of 69 children, comprising 49 males and 20 females, aged [M (Q1, Q3)] 8 (5, 10) years, were enrolled in the study. Sixty-seven cases underwent chromosomal karyotype testing, of which 42 cases (62.7%) had abnormal karyotypes, with monosomy 7 the most common in 17 cases (25.4%). Forty-three cases underwent next-generation sequencing, with mutations in the SETBP1, NRAS, PTPN11 and RUNX1 genes more common, identified in 12 cases (27.9%), 9 cases (20.9%), 8 cases(18.6%), and 8 cases(18.6%), respectively. The follow-up time [M (Q1, Q3)] was 26 (13, 56) months and the 5-year overall survival rate was 56%(95%CI: 44.4%-70.5%). The 5-year overall survival rate for children who underwent hematopoietic stem cell transplantation (HSCT) was higher than that of children who did not undergo HSCT (73.9% vs 29.1%, P<0.001). HSCT (HR=0.118, 95%CI: 0.037-0.372, P<0.001) was a protective factor for the overall survival rate of children with advanced MDS. Serum ferritin level>356.3 μg/L (HR=6.497, 95%CI: 2.068-20.415, P=0.001) and moderate to severe splenomegaly (HR=4.075, 95%CI: 1.174-14.141, P=0.027) were risk factors for the overall survival rate of children with advanced MDS. Conclusions: Monosomy 7 was the most common abnormal karyotype and SETBP1 was the gene that had the highest mutation frequency in children with advanced MDS. HSCT, increased ferritin and moderate to severe splenomegaly are prognostic factors influencing the overall survival rate of children with advanced MDS.
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Shen H, Luo W, Hu J, Yang J, Song Y, Chen X, Yang Y, Ma L, Cheng Q, Wang Z, Li Q, Yang S. Comparison of four confirmatory tests for the diagnosis of primary aldosteronism: Bayesian analysis in the absence of a gold standard. Endocrine 2024:10.1007/s12020-024-03885-2. [PMID: 39009922 DOI: 10.1007/s12020-024-03885-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 05/16/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND Captopril challenge test (CCT), seated saline infusion test (SSIT), oral sodium loading test (OSLT) and fludrocortisone suppression test (FST) are widely used diagnostic tests for primary aldosteronism (PA). These tests differ in terms of safety and complexity. Whether the simpler tests (CCT and SSIT) are comparable in diagnostic performance to the more complex ones (FST and OSLT) is unclear. PURPOSE To compare the diagnostic accuracy of the four tests. METHODS This is a retrospective study of hypertensive patients who were screened for PA and completed at least one confirmatory test. The patients were divided into two cohorts: one including those who completed one to three tests was used for the estimation of sensitivity and specificity. The other including those who completed four tests was used for the comparison of accuracy. Bayesian method was used to obtain the sensitivity, specificity, and Youden index of each test. RESULTS The study included 1011 hypertensive patients. Among them, 895 patients completed one to three tests (including 889 CCT, 605 FST, 611 SSIT and 69 OSLT), and 116 patients completed four tests. SSIT had the highest sensitivity of 0.82(95% CI 0.78-0.86) but the lowest specificity of 0.76(0.70-0.80). OSLT had the lowest sensitivity of 0.65(0.56-0.75) but the highest specificity of 0.91(0.82-0.96). The sensitivity and specificity were 0.78 (95% CI, 0.75-0.82), 0.82 (95% CI, 0.78-0.85), for CCT, and 0.77 (95% CI, 0.73-0.81), 0.87 (95% CI, 0.82-0.91) for FST, respectively. The Youden index was not significantly different among the four tests[0.60(0.55-0.65) for CCT; 0.58(0.51-0.64) for SSIT; (0.64(0.57-0.69) for FST; 0.56(0.43-0.67) for OSLT]. CONCLUSION The accuracy of simpler tests is comparable to the more complex ones. Considering the safety and simplicity of CCT, it may be a reasonable first choice when confirming the diagnosis of PA.
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Fang F, Wang B, Lu X, Wang L, Chen X, Wang G, Yang Y. miR-126a-5p inhibits H1N1-induced inflammation and matrix protease secretion in lung fibroblasts by targeting ADAMTS-4. Arch Virol 2024; 169:164. [PMID: 38990242 DOI: 10.1007/s00705-024-06086-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 05/26/2024] [Indexed: 07/12/2024]
Abstract
Upregulation of ADAMTS-4 has been reported to have an important role in lung injury, and ADAMTS-4 expression is regulated by miR-126a-5p in abdominal aortic aneurysms. The aim of this study was to investigate whether miR-126a-5p/ADAMTS-4 plays a role in influenza-virus-induced lung injury. Lung fibroblasts were infected with H1N1 influenza virus to detect changes in miR-126a-5p and ADAMTS-4 expression, and cell viability was measured by CCK-8 assay. Inflammatory factors and matrix protease levels were examined using ELISA kits, and cell apoptosis was assessed by measuring the levels of apoptosis-related proteins. A dual luciferase assay was used to verify the regulatory relationship between miR-126a-5p and ADAMTS-4. H1N1 influenza virus reduced fibroblast viability, inhibited miR-126a-5p expression, and promoted ADAMTS-4 expression. Overexpression of miR-126a-5p attenuated the cellular inflammatory response, apoptosis, matrix protease secretion, and virus replication. Luciferase reporter assays revealed that miR-126a-5p inhibited ADAMTS-4 expression by targeting ADAMTS-4 mRNA. Further experiments showed that overexpression of ADAMTS-4 significantly reversed the inhibitory effects of miR-126a-5p on fibroblast inflammation, apoptosis, matrix protease secretion, and virus replication. Upregulation of miR-126a-5p inhibits H1N1-induced apoptosis, inflammatory factors, and matrix protease secretion, as well as virus replication in lung fibroblasts.
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Feng J, Xia JH, Zhuang Y, Xu Z, Luo JY, Chen Y, Fei JY, Wu YT, Wu HY, Chen X, Zhang J, Chen M. [Epidemiological characteristics and drug resistance of diarrheagenic Escherichia coli infection in diarrhea patients in Shanghai, 2016-2022]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2024; 45:969-976. [PMID: 39004969 DOI: 10.3760/cma.j.cn112338-20240124-00040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Objective: To understand the infection status, epidemiological characteristics and drug resistance of Diarrheagenic Escherichia coli (DEC) in Shanghai and provide evidence for the disease surveillance. Methods: The epidemiological data of diarrhea cases in Shanghai from 2016 to 2022 were collected from Shanghai Diarrhea Comprehensive Surveillance System, and stool samples were collected from the cases for DEC detection. The drug resistance data was obtained from Chinese Pathogen Identification Network. Statistical analysis was conducted by using χ2 and fisher test. Results: In 24 883 diarrhea cases detected during 2016-2022, the DEC positive rate was 9.13% (2 271/24 883), the single DEC positive rate was 8.83% (2 197/24 883) and the mixed DEC positive rate was 0.30% (74/24 883). The main type of DEC was Enterotoxigenic Escherichia coli (ETEC) [4.33% (1 077/24 883)]. The DEC positive rate was highest in people aged ≤5 years 18.48% (22/119). The annual peak of DEC positive rate was observed during July - September [5.91% (1 470/24 883)]. The DEC positive rate were 9.47% (554/5 847) and 9.02% (1 717/19 036) in urban area and in suburbs, respectively, Enteroaggregative Escherichia coli (EAEC) [3.98% (233/5 847)] and ETEC [4.56% (868/19 036)] were mainly detected. From 2016 to 2019, the DEC positive rate was 9.42% (1 821/19 330), while it was 8.10% (450/5 553) from 2020 to 2022, the main DEC types were ETEC (4.87%, 941/19 330) and EAEC (4.70%, 261/5 553). The multi-drug resistance rate was 40.21% (618/1 537). The top three antibiotics with high drug resistance rates were ampicillin [64.74% (995/1 537)], nalidixic acid [58.49% (899/1 537)] and tetracycline [45.09% (693/1 537)]. Conclusions: Compared with 2016- 2019, a decrease in DEC detection rate was observed during 2020-2022, and the main type of DEC detected shifted from ETEC to EAEC. The prevalence of multi-drug resistance was severe. Therefore, it is necessary to further strengthen the surveillance for DEC drug resistance and standardize the use of clinical antibiotics.
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Zhong F, Zhu T, Jin X, Chen X, Wu R, Shao L, Wang S. Adverse events profile associated with intermittent fasting in adults with overweight or obesity: a systematic review and meta-analysis of randomized controlled trials. Nutr J 2024; 23:72. [PMID: 38987755 PMCID: PMC11234547 DOI: 10.1186/s12937-024-00975-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND There is little evidence to comprehensively summarize the adverse events (AEs) profile of intermittent fasting (IF) despite its widespread use in patients with overweight or obesity. METHODS We searched the main electronic databases and registry websites to identify eligible randomized controlled trials (RCTs) comparing IF versus control groups. A direct meta-analysis using a fixed-effect model was conducted to pool the risk differences regarding common AEs and dropouts. Study quality was assessed by using the Jadad scale. Pre-specified subgroup and sensitivity analyses were conducted to explore potential heterogeneity. RESULTS A total of 15 RCTs involving 1,365 adult individuals were included. Findings did not show a significant difference between IF and Control in risk rate of fatigue [0%, 95% confidence interval (CI), -1% to 2%; P = 0.61], headache [0%, 95%CI: -1% to 2%; P = 0.86] and dropout [1%, 95%CI: -2% to 4%; P = 0.51]. However, a numerically higher risk of dizziness was noted among the IF alone subgroup with non-early time restricted eating [3%, 95%CI: -0% to 6%; P = 0.08]. CONCLUSIONS This meta-analysis suggested that IF was not associated with a greater risk of AEs in adult patients affected by overweight or obesity. Additional large-scale RCTs stratified by key confounders and designed to evaluate the long-term effects of various IF regimens are needed to ascertain these AEs profile.
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Yuan Y, Hou M, Song X, Yao X, Wang X, Chen X, Li S. Designing Mesoporous Prussian Blue@zinc Phosphate Nanoparticles with Hierarchical Pores for Varisized Guest Delivery and Photothermally-Augmented Chemo-Starvation Therapy. Int J Nanomedicine 2024; 19:6829-6843. [PMID: 39005958 PMCID: PMC11244623 DOI: 10.2147/ijn.s464186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 06/18/2024] [Indexed: 07/16/2024] Open
Abstract
Background With the rapid development of nanotechnology, constructing a multifunctional nanoplatform that can deliver various therapeutic agents in different departments and respond to endogenous/exogenous stimuli for multimodal synergistic cancer therapy remains a major challenge to address the inherent limitations of chemotherapy. Methods Herein, we synthesized hollow mesoporous Prussian Blue@zinc phosphate nanoparticles to load glucose oxidase (GOx) and DOX (designed as HMPB-GOx@ZnP-DOX NPs) in the non-identical pore structures of their HMPB core and ZnP shell, respectively, for photothermally augmented chemo-starvation therapy. Results The ZnP shell coated on the HMPB core, in addition to providing space to load DOX for chemotherapy, could also serve as a gatekeeper to protect GOx from premature leakage and inactivation before reaching the tumor site because of its degradation characteristics under mild acidic conditions. Moreover, the loaded GOx can initiate starvation therapy by catalyzing glucose oxidation while causing an upgradation of acidity and H2O2 levels, which can also be used as forceful endogenous stimuli to trigger smart delivery systems for therapeutic applications. The decrease in pH can improve the pH-sensitivity of drug release, and O2 can be supplied by decomposing H2O2 through the catalase-like activity of HMPBs, which is beneficial for relieving the adverse conditions of anti-tumor activity. In addition, the inner HMPB also acts as a photothermal agent for photothermal therapy and the generated hyperthermia upon laser irradiation can serve as an external stimulus to further promote drug release and enzymatic activities of GOx, thereby enabling a synergetic photothermally enhanced chemo-starvation therapy effect. Importantly, these results indicate that HMPB-GOx@ZnP-DOX NPs can effectively inhibit tumor growth by 80.31% and exhibit no obvious systemic toxicity in mice. Conclusion HMPB-GOx@ZnP-DOX NPs can be employed as potential theranostic agents that incorporate multiple therapeutic modes to efficiently inhibit tumors.
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Wuitchik DM, Aichelman HE, Atherton KF, Brown CM, Chen X, DiRoberts L, Pelose GE, Tramonte CA, Davies SW. Photosymbiosis reduces the environmental stress response under a heat challenge in a facultatively symbiotic coral. Sci Rep 2024; 14:15484. [PMID: 38969663 PMCID: PMC11226616 DOI: 10.1038/s41598-024-66057-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 06/26/2024] [Indexed: 07/07/2024] Open
Abstract
The symbiosis between corals and dinoflagellates of the family Symbiodiniaceae is sensitive to environmental stress. The oxidative bleaching hypothesis posits that extreme temperatures lead to accumulation of photobiont-derived reactive oxygen species ROS, which exacerbates the coral environmental stress response (ESR). To understand how photosymbiosis modulates coral ESRs, these responses must be explored in hosts in and out of symbiosis. We leveraged the facultatively symbiotic coral Astrangia poculata, which offers an opportunity to uncouple the ESR across its two symbiotic phenotypes (brown, white). Colonies of both symbiotic phenotypes were exposed to three temperature treatments for 15 days: (i) control (static 18 °C), (ii) heat challenge (increasing from 18 to 30 °C), and (iii) cold challenge (decreasing from 18 to 4 °C) after which host gene expression was profiled. Cold challenged corals elicited widespread differential expression, however, there were no differences between symbiotic phenotypes. In contrast, brown colonies exhibited greater gene expression plasticity under heat challenge, including enrichment of cell cycle pathways involved in controlling photobiont growth. While this plasticity was greater, the genes driving this plasticity were not associated with an amplified environmental stress response (ESR) and instead showed patterns of a dampened ESR under heat challenge. This provides nuance to the oxidative bleaching hypothesis and suggests that, at least during the early onset of bleaching, photobionts reduce the host's ESR under elevated temperatures in A. poculata.
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Escalante Del Valle A, Hussain PS, Jeitler M, Krammer N, Liko D, Mikulec I, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Van Mechelen P, Bols ES, D'Hondt J, Dansana S, De Moor A, Delcourt M, El Faham H, Lowette S, Makarenko I, Müller D, Sahasransu AR, Tavernier S, Tytgat M, Van Putte S, Vannerom D, Clerbaux B, De Lentdecker G, Favart L, Hohov D, Jaramillo J, Khalilzadeh A, Lee K, Mahdavikhorrami M, Malara A, Paredes S, Pétré L, Postiau N, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, De Coen M, Dobur D, Hong Y, Knolle J, Lambrecht L, Mestdach G, Rendón C, Samalan A, Skovpen K, Van Den Bossche N, Wezenbeek L, Benecke A, Bruno G, Caputo C, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Mondal K, Tran TT, Wertz S, Alves GA, Coelho E, Hensel C, Menezes De Oliveira T, Moraes A, Rebello Teles P, Soeiro M, Aldá Júnior WL, Alves Gallo Pereira M, Barroso Ferreira Filho M, Brandao Malbouisson H, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Fonseca De Souza S, Martins J, Mora Herrera C, Mota Amarilo K, Mundim L, Nogima H, Santoro A, Sznajder A, Thiel M, Vilela Pereira A, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Orzari B, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Guo Q, Javaid T, Mittal M, Yuan L, Bauer G, Hu Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Monti F, Shahzad MA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Agapitos A, Ban Y, Levin A, Li C, Li Q, Mao Y, Qian SJ, Sun X, Wang D, Yang H, Zhang L, Zhou C, You Z, Lu N, Gao X, Leggat D, Okawa H, Zhang Y, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, Reyes Vega JA, Mejia Guisao J, Ramirez F, Rodriguez M, Ruiz Alvarez JD, Giljanovic D, Godinovic N, Lelas D, Sculac A, Kovac M, Sculac T, Bargassa P, Brigljevic V, Chitroda BK, Ferencek D, Mishra S, Starodumov A, Susa T, Attikis A, Christoforou K, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Carrera Jarrin E, Elgammal S, Ellithi Kamel A, Mahmoud MA, Mohammed Y, Dewanjee RK, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kallonen KTS, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, Hamel de Monchenault G, Lohezic V, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Tornago M, Baldenegro Barrera C, Beaudette F, Buchot Perraguin A, Busson P, Cappati A, Charlot C, Damas F, Davignon O, De Wit A, Falmagne G, Fontana Santos Alves BA, Ghosh S, Gilbert A, Granier de Cassagnac R, Hakimi A, Harikrishnan B, Kalipoliti L, Liu G, Motta J, Nguyen M, Ochando C, Portales L, Salerno R, Sarkar U, Sauvan JB, Sirois Y, Tarabini A, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Brom JM, Chabert EC, Collard C, Falke S, Goerlach U, Grimault C, Haeberle R, Le Bihan AC, Sessini MA, Van Hove P, Beauceron S, Blancon B, Boudoul G, Chanon N, Choi J, Contardo D, Depasse P, Dozen C, El Mamouni H, Fay J, Gascon S, Gouzevitch M, Greenberg C, Grenier G, Ille B, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Purohit A, Vander Donckt M, Verdier P, Xiao J, Lomidze I, Toriashvili T, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Engelke F, Erdmann M, Fackeldey P, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Jung A, Lee MY, Mastrolorenzo L, Merschmeyer M, Meyer A, Mukherjee S, Noll D, Novak A, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Rehm F, Reithler H, Sarkisovi V, Schmidt A, Sharma A, Stein A, Torres Da Silva De Araujo F, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Haj Ahmad W, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Aarup Petersen H, Aldaya Martin M, Alimena J, Amoroso S, An Y, Baxter S, Bayatmakou M, Becerril Gonzalez H, Behnke O, Belvedere A, Bhattacharya S, Blekman F, Borras K, Brunner D, Campbell A, Cardini A, Cheng C, Colombina F, Consuegra Rodríguez S, Correia Silva G, De Silva M, Eckerlin G, Eckstein D, Estevez Banos LI, Filatov O, Gallo E, Geiser A, Giraldi A, Greau G, Guglielmi V, Guthoff M, Hinzmann A, Jafari A, Jeppe L, Jomhari NZ, Kaech B, Kasemann M, Kaveh H, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Leyva Pernia D, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Mendizabal Morentin M, Metwally J, Meyer AB, Milella G, Mussgiller A, Nürnberg A, Otarid Y, Pérez Adán D, Ranken E, Raspereza A, Ribeiro Lopes B, Rübenach J, Saggio A, Scham M, Schnake S, Schütze P, Schwanenberger C, Selivanova D, Shchedrolosiev M, Sosa Ricardo RE, Sreelatha Pramod LP, Stafford D, Vazzoler F, Ventura Barroso A, Walsh R, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Yang Y, Zimermmane Castro Santos A, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bonanomi M, Connor P, Eich M, El Morabit K, Fischer Y, Fröhlich A, Garbers C, Garutti E, Grohsjean A, Hajheidari M, Haller J, Jabusch HR, Kasieczka G, Keicher P, Klanner R, Korcari W, Kramer T, Kutzner V, Labe F, Lange J, Lobanov A, Matthies C, Mehta A, Moureaux L, Mrowietz M, Nigamova A, Nissan Y, Paasch A, Pena Rodriguez KJ, Quadfasel T, Raciti B, Rieger M, Savoiu D, Schindler J, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gottmann A, Hartmann F, Hofsaess R, Horzela M, Husemann U, Klute M, Koppenhöfer R, Link M, Lintuluoto A, Maier S, Mitra S, Mormile M, Müller T, Neukum M, Oh M, Quast G, Rabbertz K, Regnery B, Shadskiy N, Shvetsov I, Simonis HJ, Trevisani N, Ulrich R, van der Linden J, Von Cube RF, Wassmer M, Wieland S, Wittig F, Wolf R, Wunsch S, Zuo X, Anagnostou G, Assiouras P, Daskalakis G, Kyriakis A, Papadopoulos A, Stakia A, Kontaxakis P, Melachroinos G, Panagiotou A, Papavergou I, Paraskevas I, Saoulidou N, Theofilatos K, Tziaferi E, Vellidis K, Zisopoulos I, Bakas G, Chatzistavrou T, Karapostoli G, Kousouris K, Papakrivopoulos I, Siamarkou E, Tsipolitis G, Zacharopoulou A, Adamidis K, Bestintzanos I, Evangelou I, Foudas C, Gianneios P, Kamtsikis C, Katsoulis P, Kokkas P, Kosmoglou Kioseoglou PG, Manthos N, Papadopoulos I, Strologas J, Bartók M, Hajdu C, Horvath D, Sikler F, 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Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Ivanov A, Kaadze K, Kalogeropoulos A, Kim D, Maravin Y, Nam K, Natoli J, Roy D, Sorrentino G, Rebassoo F, Wright D, Baden A, Belloni A, Bethani A, Chen YM, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Paranjpe MM, Wang L, Bendavid J, Busza W, Cali IA, Chen Y, D'Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hoang D, Kovalskyi D, Krupa J, Lavezzo L, Lee YJ, Long K, Mironov C, Paus C, Rankin D, Roland C, Roland G, Rothman S, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Yang TJ, Crossman B, Joshi BM, Kapsiak C, Krohn M, Mahon D, Mans J, Marzocchi B, Pandey S, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Bryson M, Claes DR, Fangmeier C, Golf F, Haza G, Hossain J, Joo C, Kravchenko I, Reed I, Siado JE, Tabb W, Vagnerini A, Wightman A, Yan F, Yu D, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, Morris M, Nguyen D, Rappoccio S, Rejeb Sfar H, Williams A, Barberis E, Haddad Y, Han Y, Krishna A, Li J, Lu M, Madigan G, Mccarthy R, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wang B, Wood D, Bhattacharya S, Bueghly J, Chen Z, Hahn KA, Liu Y, Miao Y, Monk DG, Schmitt MH, Taliercio A, Velasco M, Band R, Bucci R, Castells S, Cremonesi M, Das A, Goldouzian R, Hildreth M, Ho KW, Hurtado Anampa K, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Moore C, Musienko Y, Nelson H, Osherson M, Ruchti R, Townsend A, Wayne M, Yockey H, Zarucki M, Zygala L, Basnet A, Bylsma B, Carrigan M, Durkin LS, Hill C, Joyce M, Lesauvage A, Nunez Ornelas M, Wei K, Winer BL, Yates BR, Addesa FM, Bouchamaoui H, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kopp G, Kwan S, Lange D, Loeliger A, Marlow D, Ojalvo I, Olsen J, Shevelev A, Stickland D, Tully C, Malik S, Bakshi AS, Barnes VE, Chandra S, Chawla R, Das S, Gu A, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Scheurer V, Schulte JF, Stojanovic M, Thieman J, Virdi AK, Wang F, Xie W, Dolen J, Parashar N, Pathak A, Acosta D, Baty A, Carnahan T, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Miguel Colin O, Padley BP, Redjimi R, Rotter J, Yigitbasi E, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Parygin P, Popova E, Taus R, Van Onsem GP, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Routray H, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Vora J, Wang H, Acharya H, Ally D, Delannoy AG, Fiorendi S, Holmes T, Karunarathna N, Lee L, Nibigira E, Spanier S, Aebi D, Ahmad M, Bouhali O, Dalchenko M, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Hussain A, Kazhykarim Y, Lamichhane K, Lee SW, Mankel A, Mengke T, Muthumuni S, Peltola T, Volobouev I, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Kunnawalkam Elayavalli R, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Hakala J, Hirosky R, Ledovskoy A, Li A, Neu C, Perez Lara CE, Karchin PE, Aravind A, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chadeeva M, Chekhovsky V, Danilov M, Dermenev A, Dimova T, Druzhkin D, Dubinin M, Dudko L, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Perfilov M, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vorobyev A, Vorotnikov G, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Search for Narrow Trijet Resonances in Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2024; 133:011801. [PMID: 39042800 DOI: 10.1103/physrevlett.133.011801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 05/17/2024] [Indexed: 07/25/2024]
Abstract
The first search for singly produced narrow resonances decaying to three well-separated hadronic jets is presented. The search uses proton-proton collision data corresponding to an integrated luminosity of 138 fb^{-1} at sqrt[s]=13 TeV, collected at the CERN LHC. No significant deviations from the background predictions are observed between 1.75 and 9.00 TeV. The results provide the first mass limits on a right-handed boson Z_{R} decaying to three gluons and on an excited quark decaying via a vector boson to three quarks, as well as updated limits on a Kaluza-Klein gluon decaying via a radion to three gluons.
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Xu S, Qu LJ, Chen X, Zhu XL, Niu FN. [Clinical, imaging, and pathological characteristics of 35 cases of mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes syndrome]. ZHONGHUA NEI KE ZA ZHI 2024; 63:674-679. [PMID: 38951091 DOI: 10.3760/cma.j.cn112138-20231227-00411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/03/2024]
Abstract
Objective: To summarize the clinical, imaging, and pathological characteristics of mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes syndrome (MELAS) to improve the diagnosis of this rare disease. Methods: A retrospective case series was conducted to collect the clinical data and results of genetic testing, muscle biopsy, and imaging studies including computed tomography (CT), magnetic resonance imaging (MRI), and magnetic resonance spectroscopy (MRS) of 35 patients with MELAS admitted to the Nanjing Drum Tower Hospital from 2012 to 2021. Descriptive statistical analysis including mean, standard deviation, and frequency percentage were carried out. Results: The average age of onset of the patients was 30.2±2.3 years; the prevalence of family history was 20%. The two main initial symptoms were limb weakness and convulsions. The clinical manifestations of the neuromuscular system were proximal muscle weakness and exercise intolerance. The endocrine system is the most affected outside the neuromuscular system, with diabetes being the most common condition. Among the five patients who underwent brain CT, four showed hypodense lesions and two had calcified lesions. Brain MRI in 26 patients showed that the lesions more often affected the parietal lobe, basal ganglia, temporal lobe, occipital lobe, and frontal lobe than the infratentorial areas. Twelve of these individuals exhibited different levels of brain atrophy. Among the 10 patients who underwent 1H-MRS, nine showed a decrease in N-acetylaspartate (NAA) levels, eight exhibited abnormal lactate elevation (Lac peaks), whereas six had both reduced NAA levels and the presence of Lac peaks. Thirty-one patients underwent genetic testing; among them, 25 were found to have the mt.3243A>G mutation, while the remaining six exhibited rare gene alterations. Muscle biopsies were performed in 21 patients, and 15 showed abnormal mitochondrial proliferation manifested by ragged red fibers and defective oxidative phosphorylation manifested by cytochrome C oxidase (COX) enzyme-deficient muscle fibers. Conclusion: The clinical manifestations of MELAS syndrome are variable and complex, and early atypical symptoms could be missed or misdiagnosed. A detailed clinical history, imaging MRS analysis, muscle biopsy, and genetic testing are necessary to confirm the accurate diagnosis of MELAS.
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Zeng Y, Gou X, Yin P, Sui X, Chen X, Hu L. The influence of respiratory movement on preoperative CT-guided localization of lung nodules. Clin Radiol 2024; 79:e963-e970. [PMID: 38589276 DOI: 10.1016/j.crad.2024.03.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/31/2024] [Accepted: 03/17/2024] [Indexed: 04/10/2024]
Abstract
AIM To evaluate the motion amplitude of lung nodules in different locations during preoperative computed tomography (CT)-guided localization, and the influence of respiratory movement on CT-guided percutaneous lung puncture. MATERIALS AND METHODS A consecutive cohort of 398 patients (123 men and 275 women with a mean age of 53.9 ± 10.7 years) who underwent preoperative CT-guided lung nodule localization from May 2021 to Apr 2022 were included in this retrospective study. The respiratory movement-related nodule amplitude in the cranial-caudal direction during the CT scan, characteristics of patients, lesions, and procedures were statistically analyzed. Univariate and multivariate logistic regression analyses were used to evaluate the influence of these factors on CT-guided localization. RESULTS The nodule motion distribution showed a statistically significant correlation within the upper/middle (lingular) and lower lobes (p<0.001). Motion amplitude was an independent risk factor for CT scan times (p=0.011) and procedure duration (p=0.016), but not for the technical failure rates or the incidence of complications. Puncture depth was an independent risk factor for the CT scan times, procedure duration, technical failure rates, and complications (p<0.01). Female, prone, and supine (as opposed to lateral) positions were significant protective factors for pneumothorax, while the supine position was an independent risk factor for parenchymal hemorrhage (p=0.025). CONCLUSION Respiratory-induced motion amplitude of nodules was greater in the lower lobes, resulting in more CT scan times/radiation dose and longer localization duration, but showed no statistically significant influence on the technical success rates or the incidence of complications during preoperative CT-guided localization.
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Cui Y, Yu X, Bao J, Ping X, Shi S, Huang Y, Yin Q, Yang H, Chen R, Yao K, Chen X, Shentu X. Lens autophagy protein ATG16L1: a potential target for cataract treatment. Theranostics 2024; 14:3984-3996. [PMID: 38994020 PMCID: PMC11234268 DOI: 10.7150/thno.93864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 05/12/2024] [Indexed: 07/13/2024] Open
Abstract
Rationale: Cataract is the leading cause of blindness and low vision worldwide, yet its pathological mechanism is not fully understood. Although macroautophagy/autophagy is recognized as essential for lens homeostasis and has shown potential in alleviating cataracts, its precise mechanism remains unclear. Uncovering the molecular details of autophagy in the lens could provide targeted therapeutic interventions alongside surgery. Methods: We monitored autophagic activities in the lens and identified the key autophagy protein ATG16L1 by immunofluorescence staining, Western blotting, and transmission electron microscopy. The regulatory mechanism of ATG16L1 ubiquitination was analyzed by co-immunoprecipitation and Western blotting. We used the crystal structure of E3 ligase gigaxonin and conducted the docking screening of a chemical library. The effect of the identified compound riboflavin was tested in vitro in cells and in vivo animal models. Results: We used HLE cells and connexin 50 (cx50)-deficient cataract zebrafish model and confirmed that ATG16L1 was crucial for lens autophagy. Stabilizing ATG16L1 by attenuating its ubiquitination-dependent degradation could promote autophagy activity and relieve cataract phenotype in cx50-deficient zebrafish. Mechanistically, the interaction between E3 ligase gigaxonin and ATG16L1 was weakened during this process. Leveraging these mechanisms, we identified riboflavin, an E3 ubiquitin ligase-targeting drug, which suppressed ATG16L1 ubiquitination, promoted autophagy, and ultimately alleviated the cataract phenotype in autophagy-related models. Conclusions: Our study identified an unrecognized mechanism of cataractogenesis involving ATG16L1 ubiquitination in autophagy regulation, offering new insights for treating cataracts.
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Zhang S, Liu X, Chen X, Tang J, Wang J. A novel fluorescent probe with a phosphofluorene molecular structure for selective detection of hydrogen sulfide in living cells. RSC Adv 2024; 14:20966-20973. [PMID: 38957581 PMCID: PMC11218039 DOI: 10.1039/d4ra02979h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 06/24/2024] [Indexed: 07/04/2024] Open
Abstract
Hydrogen sulfide (H2S) gas plays a significant role in biological regulation. With advancements in technology, H2S has been discovered across diverse fields, necessitating a comprehensive understanding of its physiological functions through monitoring changes in H2S within complex environments and physiological processes. In this study, we designed a phosphofluorene-based conjugate probe PPF-CDNB with an asymmetric π-conjugated phosphine structure and utilized dinitrophenyl ether as the recognition site for H2S. PPF-CDNB exhibited exceptional resistance to interference and demonstrated stability over a broad pH range (3.0-10.0), making it suitable for various environmental conditions. Intracellular experiments revealed that PPF-CDNB effectively monitored both endogenous and exogenous levels of H2S.
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Wu SX, Chen X, Hong GB, Xu SZ, Lin TX. [Exploration of the clinical transformation application of the artificial intelligence diagnosis system for bladder cancer based on cystoscopy]. ZHONGHUA YI XUE ZA ZHI 2024; 104:2260-2262. [PMID: 38901984 DOI: 10.3760/cma.j.cn112137-20231211-01344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
This study aims to explore the possibility and bottleneck of clinical translation for an artificial intelligence (AI) diagnosis system for bladder cancer based on cystoscopy.We retrospectively collected videos of 101 bladder cancer patients from January to November 2023, at Sun Yat-sen Memorial Hospital, Sun Yat-sen University. Among these patients, with a median age of 63 years and 81.0% were male. The bladder cancer AI diagnosis system was utilized for diagnosis, and the accuracy of diagnoses from the videos was assessed. Additionally, a surgical evaluation scale was formulated to evaluate the quality of the videos, simulating clinical usage.The final test results showed a system sensitivity of 97.8%, a positive predictive value of 81.7%, specificity of 54.2%, and a negative predictive value of 92.3%. Furthermore, the surgical evaluation scale scores ranged from 3.96 to 4.69, indicating the feasibility of clinical application for this system.This study further quantitatively validated the accuracy of an artificial intelligence system using cystoscopy videos and assessed the potential for clinical application.
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Zhang R, Lu Y, Bian Z, Zhou S, Xu L, Jiang F, Yuan S, Tan X, Chen X, Ding Y, Li X. Sleep, physical activity, and sedentary behaviors in relation to overall cancer and site-specific cancer risk: A prospective cohort study. iScience 2024; 27:109931. [PMID: 38974470 PMCID: PMC11225818 DOI: 10.1016/j.isci.2024.109931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 02/20/2024] [Accepted: 05/05/2024] [Indexed: 07/09/2024] Open
Abstract
Large prospective studies are required to better elucidate the associations of physical activity, sedentary behaviors (SBs), and sleep with overall cancer and site-specific cancer risk, accounting for the interactions with genetic predisposition. The study included 360,271 individuals in UK Biobank. After a median follow-up of 12.52 years, we found higher total physical activity (TPA) level and higher sleep scores were related to reduced risk of cancer while higher SB level showed a positive association with cancer. Compared with high TPA-healthy sleep group and low SB-healthy sleep group, low TPA-poor sleep group and high SB-poor sleep group had the highest risk for overall cancer, breast cancer, and lung cancer. Adherence to a more active exercise pattern was associated with a lower risk of cancer irrespective of genetic risk. Our study suggests that improving the quality of sleep and developing physical activity habits might yield benefits in mitigating the cancer risk.
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Zhang Y, Huang W, Tian Q, Bai G, Wu W, Yin H, Hu L, Chen X. Network pharmacology and biochemical experiments reveal the antiapoptotic mechanism of huperzine A for treating diabetic retinopathy. Br J Ophthalmol 2024; 108:989-998. [PMID: 37339867 DOI: 10.1136/bjo-2023-323639] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 06/05/2023] [Indexed: 06/22/2023]
Abstract
BACKGROUND/AIMS Diabetic retinopathy is the most common eye disease that causes blindness in the working population. Neurodegeneration is the early sign of diabetic retinopathy, but no drug has been approved for delaying or reversing retinal neurodegeneration. Huperzine A, a natural alkaloid isolated from Huperzia serrata, displays neuroprotective and antiapoptotic effects in treating neurodegenerative disorders. Our study aims to investigate the effect of huperzine A in preventing retinal neurodegeneration of diabetic retinopathy and its possible mechanism. METHODS Diabetic retinopathy model was induced by streptozotocin. H&E staining, optical coherence tomography, immunofluorescence staining and angiogenic factors were used to determine the degree of retinal pathological injury. The possible molecular mechanism was unrevealed by network pharmacology analysis and further validated by biochemical experiments. RESULTS In our study, we demonstrated that huperzine A has a protective effect on the diabetes retina in a diabetic rat model. Based on the network pharmacology analysis and biochemical studies, huperzine A may treat diabetic retinopathy via key target HSP27 and apoptosis-related pathways. Huperzine A may modulate the phosphorylation of HSP27 and activate the antiapoptotic signalling pathway. CONCLUSION Our findings revealed that huperzine A might be a potential therapeutic drug to prevent diabetic retinopathy. It is the first-time combining network pharmacology analysis with biochemical studies to explore the mechanism of huperzine A in preventing diabetic retinopathy.
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Tang H, Wang R, Hu N, Wang J, Wei Z, Gao X, Xie C, Qiu Y, Chen X. The association between computed tomography-based osteosarcopenia and osteoporotic vertebral fractures: a longitudinal study. J Endocrinol Invest 2024:10.1007/s40618-024-02415-1. [PMID: 38890220 DOI: 10.1007/s40618-024-02415-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 06/14/2024] [Indexed: 06/20/2024]
Abstract
PURPOSE Osteoporosis and sarcopenia usually coexist in older population. The concept of osteosarcopenia has been proposed in recent years. However, studies on the relationship between osteosarcopenia and the risk of fracture are rare, and the association is unclear at present. This study aimed to investigate the association between osteosarcopenia evaluated based on chest computed tomography (CT) and osteoporotic vertebral fracture (OVF). METHODS This study recruited 7906 individuals aged 50 years and older who did not have OVFs and underwent chest CT for physical examination between July 2016 and September 2019. Subjects were followed up annually until June 2023. Osteosarcopenia was defined by a low muscle area of the erector spinae (< 25.4 cm2) and the bone attenuation (Hounsfield unit, HU < 135). Genant's grades were used to define OVFs. Control subjects were selected by Propensity Score Matching at a ratio 20:1. Cox proportional hazards models were used to assess the associations between osteosarcopenia and OVFs. RESULTS Of the 7906 participants included, 95 had a new OVF within a median follow-up of 3 years. A total of 1900 control subjects were matched. Individuals in the osteosarcopenia group had a higher prevalence of spinal fractures than those in normal group (16.4% vs. 0.4%, P < 0.001). Osteosarcopenia was independently associated with OVF (adjusted hazard ratio (aHR): 12.67, 95% confidence interval (CI) 3.79-42.40) and severe OVF (aHR = 14.07, 95% CI 1.84-107.66). Similar trends were observed in males, females and those subjects aged older than 60 years. Osteosarcopenia had good predictive efficacy for OVF (area under the curve = 0.836). A nomogram was also developed for clinical application. CONCLUSION Osteosarcopenia assessed based on chest CT was associated with OVF, and osteosarcopenia has good performance for vertebral fracture prediction.
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Hussain PS, Jeitler M, Krammer N, Li A, Liko D, Mikulec I, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Van Mechelen P, Bols ES, D'Hondt J, Dansana S, De Moor A, Delcourt M, Lowette S, Makarenko I, Müller D, Tavernier S, Tytgat M, Van Onsem GP, Van Putte S, Vannerom D, Clerbaux B, Das AK, De Lentdecker G, Evard H, Favart L, Gianneios P, Hohov D, Jaramillo J, Khalilzadeh A, Khan FA, Lee K, Mahdavikhorrami M, Malara A, Paredes S, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, De Coen M, Dobur D, Hong Y, Knolle J, Lambrecht L, Mestdach G, Mota Amarilo K, Rendón C, Samalan A, Skovpen K, Van Den Bossche N, van der Linden J, Wezenbeek L, Benecke A, Bethani A, Bruno G, Caputo C, Delaere C, Donertas IS, Giammanco A, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Tran TT, Wertz S, Alves GA, Coelho E, Hensel C, Menezes De Oliveira T, Moraes A, Rebello Teles P, Soeiro M, Aldá Júnior WL, Alves Gallo Pereira M, Barroso Ferreira Filho M, Brandao Malbouisson H, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Fonseca De Souza S, Gomes De Souza R, Martins J, Mora Herrera C, Mundim L, Nogima H, Pinheiro JP, Santoro A, Sznajder A, Thiel M, Vilela Pereira A, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Orzari B, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Shopova M, Sultanov G, Dimitrov A, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Javaid T, Yuan L, Hu Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Agapitos A, Ban Y, Levin A, Li C, Li Q, Mao Y, Qian SJ, Sun X, Wang D, Yang H, Zhang L, Zhou C, You Z, Jaffel K, Lu N, Bauer G, Gao X, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, Reyes Vega JA, Mejia Guisao J, Ramirez F, Rodriguez M, Ruiz Alvarez JD, Giljanovic D, Godinovic N, Lelas D, Sculac A, Kovac M, Sculac T, Bargassa P, Brigljevic V, Chitroda BK, Ferencek D, Jakovcic K, Mishra S, Starodumov A, Susa T, Attikis A, Christoforou K, Hadjiagapiou A, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Carrera Jarrin E, Elgammal S, Ellithi Kamel A, Lotfy A, Mahmoud MA, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Kallonen KTS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, Hamel de Monchenault G, Lohezic V, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Tornago M, Beaudette F, Buchot Perraguin A, Busson P, Cappati A, Charlot C, Chiusi M, Damas F, Davignon O, De Wit A, Ehle IT, Fontana Santos Alves BA, Ghosh S, Gilbert A, Granier de Cassagnac R, Hakimi A, Harikrishnan B, Kalipoliti L, Liu G, Motta J, Nguyen M, Ochando C, Portales L, Salerno R, Sauvan JB, Sirois Y, Tarabini A, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Brom JM, Chabert EC, Collard C, Falke S, Goerlach U, Grimault C, Haeberle R, Le Bihan AC, Meena M, Saha G, Sessini MA, Van Hove P, Beauceron S, Blancon B, Boudoul G, Chanon N, Choi J, Contardo D, Depasse P, Dozen C, El Mamouni H, Fay J, Gascon S, Gouzevitch M, Greenberg C, Grenier G, Ille B, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Purohit A, Vander Donckt M, Verdier P, Xiao J, Adamov G, Lomidze I, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Engelke F, 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Prosper H, Prova PR, Wulansatiti M, Yohay R, Zhang J, Alsufyani B, Baarmand MM, Butalla S, Das S, Elkafrawy T, Hohlmann M, Kumar Verma R, Rahmani M, Yanes E, Adams MR, Baty A, Bennett C, Cavanaugh R, Escobar Franco R, Evdokimov O, Gerber CE, Hawksworth M, Hingrajiya A, Hofman DJ, Lee JH, Lemos DS, Merrit AH, Mills C, Nanda S, Oh G, Ozek B, Pilipovic D, Pradhan R, Prifti E, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Ye Z, Yoo J, Alhusseini M, Blend D, Dilsiz K, Emediato L, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kang L, Kyriacou S, Maksimovic P, Roguljic M, Roskes J, Sekhar S, Swartz M, Abreu A, Alcerro Alcerro LF, Anguiano J, Baringer P, Bean A, Flowers Z, Grove D, King J, Krintiras G, Lazarovits M, Le Mahieu C, Marquez J, Minafra N, Murray M, Nickel M, Pitt M, Popescu S, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Ivanov A, Kaadze K, Kalogeropoulos A, Kim D, Maravin Y, Natoli J, Roy D, Sorrentino G, Rebassoo F, Wright D, Baden A, Belloni A, Chen YM, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Paranjpe MM, Wang L, Bendavid J, Cali IA, D'Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Grosso G, Harris P, Hoang D, Kovalskyi D, Krupa J, Lavezzo L, Lee YJ, Long K, Novak A, Paus C, Rankin D, Roland C, Roland G, Rothman S, Stephans GSF, Wang Z, Wyslouch B, Yang TJ, Crossman B, Joshi BM, Kapsiak C, Krohn M, Mahon D, Mans J, Marzocchi B, Pandey S, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Claes DR, Haza G, Hossain J, Joo C, Kravchenko I, Siado JE, Tabb W, Vagnerini A, Wightman A, Yan F, Yu D, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, Morris M, Nguyen D, Rappoccio S, Rejeb Sfar H, Williams A, Alverson G, Barberis E, Dervan J, Haddad Y, Han Y, Krishna A, Li J, Lu M, Madigan G, Mccarthy R, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Wang B, Wood D, Bhattacharya S, Bueghly J, Chen Z, Dittmer S, Hahn KA, Liu Y, Miao Y, Monk DG, Schmitt MH, Taliercio A, Velasco M, Agarwal G, Band R, Bucci R, Castells S, Das A, Goldouzian R, Hildreth M, Ho KW, Hurtado Anampa K, Ivanov T, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Moore C, Musienko Y, Nelson H, Osherson M, Piccinelli A, Ruchti R, Townsend A, Wan Y, Wayne M, Yockey H, Zarucki M, Zygala L, Basnet A, Bylsma B, Carrigan M, Durkin LS, Hill C, Joyce M, Nunez Ornelas M, Wei K, Winer BL, Yates BR, Addesa FM, Bouchamaoui H, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Kopp G, Kwan S, Lange D, Loeliger A, Marlow D, Ojalvo I, Olsen J, Shevelev A, Stickland D, Tully C, Malik S, Bakshi AS, Barnes VE, Chandra S, Chawla R, Gu A, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Scheurer V, Schulte JF, Stojanovic M, Thieman J, Virdi AK, Wang F, Xie W, Dolen J, Parashar N, Pathak A, Acosta D, Carnahan T, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Li W, Miguel Colin O, Padley BP, Redjimi R, Rotter J, Yigitbasi E, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Parmar N, Parygin P, Popova E, Taus R, Goulianos K, Chiarito B, Chou JP, Clark SV, Gadkari D, Gershtein Y, Halkiadakis E, Heindl M, Houghton C, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Routray H, Saha P, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Vora J, Wang H, Acharya H, Ally D, Delannoy AG, Fiorendi S, Higginbotham S, Holmes T, Kanuganti AR, Karunarathna N, Lee L, Nibigira E, Spanier S, Aebi D, Ahmad M, Bouhali O, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Hussain A, Kazhykarim Y, Lamichhane K, Lee SW, Mankel A, Peltola T, Volobouev I, Appelt E, Chen Y, Greene S, Gurrola A, Johns W, Kunnawalkam Elayavalli R, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Hakala J, Hirosky R, Ledovskoy A, Neu C, Perez Lara CE, Karchin PE, Aravind A, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pétré L, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Azhgirey I, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Druzhkin D, Dubinin M, Dudko L, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanov Y, Kachanov V, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Perfilov M, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Ryutin R, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Volkov P, Vorobyev A, Vorotnikov G, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Search for Baryon Number Violation in Top Quark Production and Decay Using Proton-Proton Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2024; 132:241802. [PMID: 38949350 DOI: 10.1103/physrevlett.132.241802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 05/08/2024] [Indexed: 07/02/2024]
Abstract
A search is presented for baryon number violating interactions in top quark production and decay. The analysis uses data from proton-proton collisions at a center-of-mass energy of 13 TeV, collected with the CMS detector at the LHC with an integrated luminosity of 138 fb^{-1}. Candidate events are selected by requiring two oppositely charged leptons (electrons or muons) and exactly one jet identified as originating from a bottom quark. Multivariate discriminants are used to separate the signal from the background. No significant deviation from the standard model prediction is observed. Upper limits are placed on the strength of baryon number violating couplings. For the first time the production of single top quarks via baryon number violating interactions is studied. This allows the search to set the most stringent constraints to date on the branching fraction of the top quark decay to a lepton, an up-type quark (u or c), and a down-type quark (d, s, or b). The results improve the previous bounds by 3 to 6 orders of magnitude based on the fermion flavor combination of the baryon number violating interactions.
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Zuo P, Chen X, Wang L, Li Y. Effect of alkyl glucoside concentration on functional group structure and adsorption characteristics of anthracite. J Mol Model 2024; 30:209. [PMID: 38877337 DOI: 10.1007/s00894-024-06005-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 06/05/2024] [Indexed: 06/16/2024]
Abstract
CONTEXT To investigate the influence of different concentrations of surfactants on the adsorption of anthracite, the nonionic surfactant alkyl polyglucoside (APG) was selected. The study examined the adsorption characteristics of different concentrations of APG on the surface of anthracite. The results revealed the existence of two modes of APG adsorption on anthracite. Under the action of 0.06 wt% APG, APG was found to adsorb in a monolayer state on the anthracite surface, with a saturation adsorption capacity of 20.06 mg/g. When the solution concentration exceeded 0.14 wt%, APG exhibited a double-layer saturation adsorption state on anthracite, with a saturation adsorption capacity of 71.71 mg/g. Molecular dynamics simulations complemented these findings, demonstrating that low concentrations of APG could reduce the mobility of water molecules and enhance the hydrophilicity of anthracite. With an increase in the number of APG molecules, multi-layer adsorption occurred on the anthracite surface, making it more hydrophobic. Therefore, the differences in wettability of anthracite induced by different concentrations of APG were primarily attributed to the spatial distribution of the surfactant at the water/coal interface. METHODS This study analyzed the adsorption capacity of the surfactant through adsorption experiments and Fourier-transform infrared spectroscopy (FTIR) experiments. Molecular dynamics simulations were conducted to construct six concentration levels of water/APG/anthracite systems. Various aspects, including APG adsorption configurations, interaction energies, relative concentrations of each component, and the diffusion coefficient of water molecules, were discussed to elucidate the reasons for the differential wettability of anthracite induced by different concentrations of APG.
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Huang H, Fan Y, Yan F, Hu Y, He H, Xu T, Zhu X, Zhu Y, Diao W, Xia X, Tu J, Li A, Lin B, Liu Q, Lu Z, Xi T, Wang W, Xu D, Chen Z, Wang Z, Chen X, Shan G. Diabetes and long duration leading to speech-, low/mid-, and high- frequency hearing loss: current evidence from the China National Health Survey 2023. J Endocrinol Invest 2024:10.1007/s40618-024-02406-2. [PMID: 38869778 DOI: 10.1007/s40618-024-02406-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 05/29/2024] [Indexed: 06/14/2024]
Abstract
PURPOSE To examine the effect of diabetes, duration of diabetes, and blood glucose on speech-, low/mid-, and high-frequency hearing loss. METHODS In this cross-sectional study, 2821 participants aged 20-87 years in the China National Health Survey were included. Diabetes was defined as valid fasting blood glucose (FBG) of ≥ 7.0 mmol/L, a self-reported history of diabetes or the use of anti-diabetic medications. Speech-(500, 1000, 2000, and 4000 Hz), low/mid- (500, 1000 and 2000 Hz), and high-frequency (4000, 6000, and 8000 Hz) hearing loss was defined as pure tone average of responding frequencies > 20 dB HL in the better ear, respectively. RESULTS In fully adjusted models, for speech-, low/mid-, and high-frequency hearing loss, compared with no diabetes, those with diabetes (OR[95%CI]: 1.44 [1.12, 1.86], 1.23 [0.94, 1.61], and 1.75 [1.28, 2.41], respectively) and with diabetes for > 5 years duration (OR[95%CI]: 1.63 [1.09, 2.42], and 1.63 [1.12, 2.36], 2.15 [1.25, 3.70], respectively) were at higher risk. High FBG level was associated with a higher risk of speech-, low/ mid-, and high-frequency hearing loss. And there were stronger associations between HL and diabetes, longer duration and higher in "healthier population" (no hypertension, no dyslipidemia and younger age). CONCLUSION Diabetes, longer duration, and higher FBG level were independently associated with hearing loss for speech-, low/mid- and high-frequency hearing loss, particularly in higher frequency and "healthier population". Paying more attention to hearing loss in those populations could lower the burden of hearing loss.
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Tang XF, Wu QQ, Chen X, Wang Y, Fu G. [Dynamic monitoring and esthetic evaluation of dimensional changes in the peri-implant soft tissue contour after the immediate implant placement and provisionalization with the modified socket-shield technique in the esthetic zone]. ZHONGHUA KOU QIANG YI XUE ZA ZHI = ZHONGHUA KOUQIANG YIXUE ZAZHI = CHINESE JOURNAL OF STOMATOLOGY 2024; 59:551-558. [PMID: 38808415 DOI: 10.3760/cma.j.cn112144-20240215-00072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
Objective: To accurately measure the dynamic changes of peri-implant soft tissue within one year after the immediate implant placement and provisionalization with the modified socket-shield technique (MSST) in the esthetic zone, and to provide a basis for evaluating the effect of the modified socket-shield technique on the maintenance of peri-implant soft tissue. Methods: A total of 22 patients (22 implants) were prospectively included 1 year after completion of immediate implant placement and provisionalization (IIPP) within MSST in the esthetic zone from January 2022 to January 2024 at the Department of Oral Implantology in the Stomatological Hospital of Chongqing Medical University. The intraoral optical models of patients were obtained by an intraoral scanner system preoperatively and at 3, 6, and 12 months postoperatively, respectively. The standard tessellation language files of intraoral optical models at multiple time points were imported to Geomagic Studio 2013 to be superimposed and aligned for analyzing the peri-implant soft tissue contour on the labial side of the implant site at multiple levels. The amount of gingival margin recession, gingival papilla change, and thickness change of the labial side of the soft tissues at each postoperative point in time were measured at each postoperative time point, as well as evaluating the esthetic effect by the pink esthetic score (PES). Results: The patients were (40±13) years old (21-75 years), including 9 males and 13 females. No adverse events occurred in all the implants during the 12-month follow-up period. The recession level of the gingival margin of the implant site (GL) was 0.08 (0.07) mm, the recession level of the mesial papilla (ML) was 0.19 (0.25) mm, and the recession level of the distal papilla (DL) was 0.19 (0.10) mm. The average collapse thickness of the soft tissue contour on the labial side of the implant (ΔD) was (0.39±0.09) mm, mainly occurring within 2 mm of the root of the gingival margin. The height of the alveolar bone was reduced by (0.17±0.08) mm. The thickness of the labial alveolar bone at 1, 3, and 5 mm root side of the implant shoulder was reduced by (0.13±0.08), (0.12±0.10) and 0.04 (0.17) mm, respectively. The postoperative pink esthetic score was 13.00 (2.25) points at 12 months, which suggested that all implant sites achieved ideal esthetic results. Conclusions: The labial soft tissue contour at implant sites shows minimal change following immediate implant placement and provisionalization using the modified socket-shield technique for 1 year in the esthetic zone.
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Zhang MJ, Yao YS, Chen X, Mou YK, Li YM, Song XC. [Analysis of risk factors and construction of nomogram model for local lymph node metastasis in salivary gland mucoepidermoid carcinoma]. ZHONGHUA ER BI YAN HOU TOU JING WAI KE ZA ZHI = CHINESE JOURNAL OF OTORHINOLARYNGOLOGY HEAD AND NECK SURGERY 2024; 59:614-620. [PMID: 38965851 DOI: 10.3760/cma.j.cn115330-20231106-00187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/06/2024]
Abstract
Objective: To analyze the risk factors affecting regional lymph node metastasis in salivary gland mucoepidermoid carcinoma (MEC) and to establish a nomogram model for individually predicting lymph node metastasis in salivary gland MEC. Methods: The clinical data of 2 152 patients with salivary gland MEC from 1975 to 2020 were collected from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute. The collected data were divided into training cohort (1 506 cases) and validation cohort (646 cases) according to the ratio of 7∶3. Single-factor regression and multi-factor logistic regression were used to screen factors related to local lymph node metastasis in salivary gland MEC, with constructing of a nomogram. Calibration curve, receiver operating characteristic (ROC) curve, area under the ROC curve (AUC) and decision curve analysis were used to evaluate model performance in the validation cohort and the total cohort. Statistical tests were performed using SPSS (26.0) and R (4.3.0) software. Results: Multivariate logistic regression results showed that M stage [OR(95%CI):12.360(3.295-46.365), P=0.014], pathological grade Ⅱ、Ⅲ、Ⅳ[OR(95%CI): 1.956(1.329-2.879), 9.654(6.309-14.772), 9.298(6.072-14.238), P<0.001], T staging T2, T3, T4[OR(95%CI): 1.706(0.932-3.124), 3.021(1.790-5.096), 3.311(1.925-5.695), P<0.001], and gender [OR(95%CI):0.759(0.593-0.972), P=0.029] were independent factors affecting local lymph node metastasis in salivary gland MEC. Through verification in the validation cohort and the total cohort, the AUC values were greater than 0.8, and the calibration curve was close to the perfect reference line, proving that the constructed nomogram model had good specificity and sensitivity for predicting local lymph node metastasis in salivary gland MEC. Conclusion: M stage, pathological grade, T stage, and gender are risk factors for predicting regional lymph node metastasis and the established-nomogram has good predictive performance for local lymph node metastasis in salivary gland MEC.
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