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Jiang Y, Wiersch J, Wu W, Qian J, Adama MPR, Wu N, Yang W, Chen C, Zhu L, Prasadan K, Gittes GK, Xiao X. Bone-marrow derived cells do not contribute to new beta-cells in the inflamed pancreas. Front Immunol 2023; 14:1084056. [PMID: 36733483 PMCID: PMC9887320 DOI: 10.3389/fimmu.2023.1084056] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 01/03/2023] [Indexed: 01/18/2023] Open
Abstract
The contribution of bone-marrow derived cells (BMCs) to a newly formed beta-cell population in adults is controversial. Previous studies have only used models of bone marrow transplantation from sex-mismatched donors (or other models of genetic labeling) into recipient animals that had undergone irradiation. This approach suffers from the significant shortcoming of the off-target effects of irradiation. Partial pancreatic duct ligation (PDL) is a mouse model of acute pancreatitis with a modest increase in beta-cell number. However, the possibility that recruited BMCs in the inflamed pancreas may convert into beta-cells has not been examined. Here, we used an irradiation-free model to track the fate of the BMCs from the donor mice. A ROSA-mTmG red fluorescent mouse was surgically joined to an INS1Cre knock-in mouse by parabiosis to establish a mixed circulation. PDL was then performed in the INS1Cre mice 2 weeks after parabiosis, which was one week after establishment of the stable blood chimera. The contribution of red cells from ROSA-mTmG mice to beta-cells in INS1Cre mouse was evaluated based on red fluorescence, while cell fusion was evaluated by the presence of green fluorescence in beta-cells. We did not detect any red or green insulin+ cells in the INS1Cre mice, suggesting that there was no contribution of BMCs to the newly formed beta-cells, either by direct differentiation, or by cell fusion. Thus, the contribution of BMCs to beta-cells in the inflamed pancreas should be minimal, if any.
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Shao J, Wang J, Wen X, Xie J, Huang F, Guan X, Hao X, Duan P, Chen C, Chen H. Effects of aging and macrophages on mice stem Leydig cell proliferation and differentiation in vitro. Front Endocrinol (Lausanne) 2023; 14:1139281. [PMID: 37051204 PMCID: PMC10083278 DOI: 10.3389/fendo.2023.1139281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 03/03/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Testosterone plays a critical role in maintaining reproductive functions and well-beings of the males. Adult testicular Leydig cells (LCs) produce testosterone and are generated from stem Leydig cells (SLCs) during puberty through adulthood. In addition, macrophages are critical in the SLC regulatory niche for normal testicular function. Age-related reduction in serum testosterone contributes to a number of metabolic and quality-of-life changes in males, as well as age-related changes in immunological functions. How aging and testicular macrophages may affect SLC function is still unclear. METHODS SLCs and macrophages were purified from adult and aged mice via FACS using CD51 as a marker protein. The sorted cells were first characterized and then co-cultured in vitro to examine how aging and macrophages may affect SLC proliferation and differentiation. To elucidate specific aging effects on both cell types, co-culture of sorted SLCs and macrophages were also carried out across two ages. RESULTS CD51+ (weakly positive) and CD51++ (strongly positive) cells expressed typical SLC and macrophage markers, respectively. However, with aging, both cell types increased expression of multiple cytokine genes, such as IL-1b, IL-6 and IL-8. Moreover, old CD51+ SLCs reduced their proliferation and differentiation, with a more significant reduction in differentiation (2X) than proliferation (30%). Age matched CD51++ macrophages inhibited CD51+ SLC development, with a more significant reduction in old cells (60%) than young (40%). Crossed-age co-culture experiments indicated that the age of CD51+ SLCs plays a more significant role in determining age-related inhibitory effects. In LC lineage formation, CD51+ SLC had both reduced LC lineage markers and increased myoid cell lineage markers, suggesting an age-related lineage shift for SLCs. CONCLUSION The results suggest that aging affected both SLC function and their regulatory niche cell, macrophages.
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Zhang L, Chen C, Weng MT, Zheng AP, Su ML, Wang QW, Cai YM. [Characteristics of serum autoantibodies in patients with lupus nephritis and tubulointerstitial damage]. BEIJING DA XUE XUE BAO. YI XUE BAN = JOURNAL OF PEKING UNIVERSITY. HEALTH SCIENCES 2022. [PMID: 36533338 PMCID: PMC9761831 DOI: 10.19723/j.issn.1671-167x.2022.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE To observe the tubulointerstitial damage (TID) in lupus nephritis (LN) and investigate the relationship between autoantibodies and TID in lupus nephritis. METHODS This cross-sectional study was conducted in a comprehensive tertiary hospital in Peking University Shenzhen Hospital. From March 2012 to July 2021, LN patients who performed renal biopsy were enrolled in the study. Clinical, laboratory and pathology data were collected. We classified the patients into none-or-mild group and moderate-to-severe groups according to the severity of interstitial fibrosis (IF) /tubular atrophy (TA) or tubulointerstitial inflammation (TII). The t test, U test and Chi-square test were used for statistical analysis as appropriate. RESULTS A total of 226 patients were included, of who 190 (84%) were female with a median age of 32 (26, 39) years. 89% (201/226) of the patients who pathologically proved to be proliferative LN by renal biopsy. The frequency of moderate-to-severe TII and moderate-to-severe IF/TA was 30% (67/226) and 34% (76/226) respectively. For autoantibodies, the patients with moderate-to-severe TII had a lower rate of positive serum anti-ribonucleoprotein (anti-RNP) antibodies than the patients with none-or-mild TII (34% vs. 51%), and moderate-to-severe IF/TA had a lower rate of positive anti-ribosomal P protein (anti-P) antibodies than patients with none-or-mild IF/TA (19% vs. 33%). For other clinical indicators, the patients with moderate-to-severe TII and moderate-to-severe IF/TA were more often combined with proliferative LN, hypertension and anemia than the patients with none-or-mild TII and none-or-mild IF/TA, respectively. The patients with moderate-to-severe TII had higher serum creatinine values and lower glomerular filtration rates than the patients with none-or-mild TII. The patients with moderate-to-severe IF/TA had higher serum creatinine values, and lower glomerular filtration rates than the patients with none-or-mild IF/TA. CONCLUSION In patients with LN in Southern China, anti-RNP antibodies and anti-P antibodies may be potential protective factors for TII and IF/TA, respectively. More studies are needed to identify the risk factors of lupus patients with TID and investigate the correlation between autoantibodies and TID, which are critical for developing better preventive and therapeutic strategies to improve the survival rate of LN.
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Jin LR, Li CC, Chen C, Wang Y, Wang Y, He M, Ding SN, Wei MW, Tian H, Kong XX, Dong C, Zhou L, Peng JF, Wang ZG, Zhu FC, Zhu LG. [Kinetics of SARS-CoV-2-specific antibodies among inactivated COVID-19 vaccine recipients, SARS-CoV-2 natural infection cases, and breakthrough cases]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2022; 56:1834-1837. [PMID: 36536574 DOI: 10.3760/cma.j.cn112150-20220621-00639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Between August and September, 2021, this study included 605 SARS-CoV-2 natural infection cases and 589 SARS-CoV-2 breakthrough cases from Nanjing and Yangzhou, as well as 690 inactivated COVID-19 vaccine recipients from Changzhou, China. In SARS-CoV-2 natural infection cases, the age range was 19-91 years (median age: 66 year), and the medians(Q1,Q3) of IgG titers were 0.19 (0.06-1.31), 3.70 (0.76-69.48), 15.31 (2.59-82.16), 4.41 (0.99-31.74), 2.31 (0.75-13.83), 2.28 (0.68-9.94) and 2.80 (1.00-9.53) at one to seven weeks after SARS-CoV-2 infection, respectively. In SARS-CoV-2 breakthrough cases, the age range was 18-76 years (median age: 45 year), and the medians(Q1,Q3)of IgG titers were 1.93 (0.34-26.67), 38.87 (7.90-121.0), 75.09 (11.85-123.70), 21.97 (5.20-95.58), 13.97 (3.47-46.82), 9.56 (2.48-33.38) and 4.38 (1.87-11.00) at one to seven weeks after SARS-CoV-2 infection, respectively. In inactivated COVID-19 vaccine recipients, the age range was 18-87 years (median age: 47 years), and the medians(Q1,Q3)of IgG titers were 16.22 (15.84-33.42), 5.35 (2.96-13.23), 3.30 (2.18-6.18), 3.14 (1.16-5.70), 2.77 (1.50-4.52), 2.72 (1.76-4.36), 2.01 (1.27-3.51) and 1.94 (1.35-3.09) at one to eight months after SARS-CoV-2 infection, respectively. The results suggested that IgG antibodies increased gradually within two weeks after SARS-CoV-2 infection, then declined gradually at three to seven weeks in SARS-CoV-2 natural infection cases. In SARS-CoV-2 breakthrough cases, IgG antibodies increased rapidly within two weeks, then declined gradually at three to seven weeks after SARS-CoV-2 infection. Additionally, IgG antibodies decreased rapidly within three months, then decreased gradually and remained at a low level within three months after immunization.
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Tumasyan A, Adam W, Bergauer T, Dragicevic M, Erö J, Valle AED, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Madlener T, Mikulec I, Pitters FM, Rad N, Schieck J, Schöfbeck R, Spanring M, Templ S, Waltenberger W, Wulz CE, Zarucki M, Chekhovsky V, Litomin A, Makarenko V, Gonzalez JS, Darwish MR, De Wolf EA, Croce DD, Janssen T, Kello T, Lelek A, Pieters M, Sfar HR, Haevermaet HV, Mechelen PV, Putte SV, Remortel NV, Blekman F, Bols ES, Chhibra SS, D’Hondt J, De Clercq J, Lontkovskyi D, Lowette S, Marchesini I, Moortgat S, Morton A, Python Q, Tavernier S, Doninck WV, Mulders PV, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Dorney B, Favart L, Grebenyuk A, Kalsi AK, Makarenko I, Moureaux L, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Velde CV, Vanlaer P, Vannerom D, Wezenbeek L, Cornelis T, Dobur D, Gruchala M, Khvastunov I, Niedziela M, Roskas C, Skovpen K, Tytgat M, Verbeke W, Vermassen B, Vit M, Bruno G, Bury F, Caputo C, David P, Delaere C, Delcourt M, Donertas IS, Giammanco A, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Vischia P, Wuyckens S, Zobec J, Alves GA, Hensel C, Moraes A, Júnior WLA, Chagas EBBD, MALBOUISSON HBRANDAO, Carvalho W, Chinellato J, Coelho E, Da Costa EM, Da Silveira GG, De JesusDamiao D, De Souza SF, Martins J, Figueiredo DM, Jaime MM, Herrera CM, Mundim L, Nogima H, Teles PR, Rosas LJS, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva DeAraujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Atanassov I, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Bonchev M, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Fang W, Guo Q, Wang H, Yuan L, Ahmad M, Hu Z, Wang Y, Chapon E, Chen GM, Chen HS, Chen M, Javaid T, Kapoor A, Leggat D, Liao H, Liu ZA, Sharma R, Spiezia A, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhang S, Zhao J, Agapitos A, Ban Y, Chen C, Huang Q, Levin A, Li Q, Lu M, Lyu X, Mao Y, Qian SJ, Wang D, Wang Q, Xiao J, You Z, Gao X, Xiao M, Avila C, Cabrera A, Florez C, Fraga J, Sarkar A, Delgado MAS, Jaramillo J, Guisao JM, Ramirez F, Alvarez JDR, González CAS, Arbelaez NV, Giljanovic D, Godinovic N, Lelas D, Puljak I, Sculac T, Antunovic Z, Kovac M, Brigljevic V, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Ather MW, Attikis A, Erodotou E, Ioannou A, Kole G, Kolosova M, Konstantinou S, Mavromanolakis G, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Tsiakkouri D, Finger M, Finger M, Kveton A, Tomsa J, Ayala E, Jarrin EC, Abdalla H, Assran Y, Mohamed A, Mahmoud MA, Mohammed Y, Bhowmik S, De Oliveira ACA, Dewanjee RK, Ehataht K, Kadastik M, Raidal M, Veelken C, Eerola P, Forthomme L, Kirschenmann H, Osterberg K, Voutilainen M, Brücken E, Garcia F, Havukainen J, Karimäki V, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Laurila S, Lehti S, Lindén T, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Givernaud A, Gras P, de Monchenault GH, Jarry P, Lenzi B, Locci E, Malcles J, Rander J, Rosowsky A, Sahin M, Savoy-Navarro A, Titov M, Yu GB, Ahuja S, Beaudette F, Bonanomi M, Perraguin AB, Busson P, Charlot C, Davignon O, Diab B, Falmagne G, de Cassagnac RG, Hakimi A, Kucher I, Lobanov A, Perez CM, Nguyen M, Ochando C, Paganini P, Rembser J, Salerno R, Sauvan JB, Sirois Y, Zabi A, Zghiche A, Agram JL, Andrea J, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Fontaine JC, Gelé D, Goerlach U, Grimault C, Bihan ACL, Hove PV, Asilar E, Beauceron S, Bernet C, Boudoul G, Camen C, Carle A, Chanon N, Contardo D, Depasse P, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Ille B, Jain S, Laktineh IB, Lattaud H, Lesauvage A, Lethuillier M, Mirabito L, Torterotot L, Touquet G, Donckt MV, Viret S, Adamov G, Tsamalaidze Z, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Preuten M, Rauch MP, Schulz J, Teroerde M, Eliseev D, Erdmann M, Fackeldey P, Fischer B, Ghosh S, Hebbeker T, Hoepfner K, Keller H, Mastrolorenzo L, Merschmeyer M, Meyer A, Mocellin G, Mondal S, Mukherjee S, Noll D, Novak A, Pook T, Pozdnyakov A, Quast T, Rath Y, Reithler H, Roemer J, Schmidt A, Schuler SC, Sharma A, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Hlushchenko O, Kress T, Nowack A, Pistone C, Pooth O, Roy D, Sert H, Stahl A, Ziemons T, Petersen HA, Martin MA, Asmuss P, Babounikau I, Baxter S, Behnke O, Martínez AB, Anuar AAB, Borras K, Botta V, Brunner D, Campbell A, Cardini A, Connor P, Rodríguez SC, Danilov V, De Wit A, Defranchis MM, Didukh L, Damiani DD, Eckerlin G, Eckstein D, Eichhorn T, Banos LIE, Gallo E, Geiser A, Giraldi A, Grohsjean A, Guthoff M, Harb A, Jafari A, Jomhari NZ, Jung H, Kasem A, Kasemann M, Kaveh H, Kleinwort C, Knolle J, Krücker D, Lange W, Lenz T, Lidrych J, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Metwally J, Meyer AB, Meyer M, Missiroli M, Mnich J, Mussgiller A, Myronenko V, Otarid Y, Adán DP, Pflitsch SK, Pitzl D, Raspereza A, Saggio A, Saibel A, Savitskyi M, Scheurer V, Schwanenberger C, Singh A, Ricardo RES, Tonon N, Turkot O, Vagnerini A, De Klundert MV, Walsh R, Walter D, Wen Y, Wichmann K, Wissing C, Wuchterl S, Zenaiev O, Zlebcik R, Aggleton R, Bein S, Benato L, Benecke A, De Leo K, Dreyer T, Ebrahimi A, Eich M, Feindt F, Fröhlich A, Garbers C, Garutti E, Gunnellini P, Haller J, Hinzmann A, Karavdina A, Kasieczka G, Klanner R, Kogler R, Kutzner V, Lange J, Lange T, Malara A, Niemeyer CEN, Nigamova A, Rodriguez KJP, Rieger O, Schleper P, Schumann S, Schwandt J, Schwarz D, Sonneveld J, Stadie H, Steinbrück G, Vormwald B, Zoi I, Baur S, Bechtel J, Berger T, Butz E, Caspart R, Chwalek T, De Boer W, Dierlamm A, Droll A, Morabit KE, Faltermann N, Flöh K, Giffels M, Gottmann A, Hartmann F, Heidecker C, Husemann U, Iqbal MA, Katkov I, Keicher P, Koppenhöfer R, Maier S, Metzler M, Mitra S, Müller D, Müller T, Musich M, Quast G, Rabbertz K, Rauser J, Savoiu D, Schäfer D, Schnepf M, Schröder M, Seith D, Shvetsov I, Simonis HJ, Ulrich R, Wassmer M, Weber M, Wolf R, Wozniewski S, Anagnostou G, Asenov P, Daskalakis G, Geralis T, Kyriakis A, Loukas D, Paspalaki G, Stakia A, Diamantopoulou M, Karasavvas D, Karathanasis G, Kontaxakis P, Koraka CK, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Vellidis K, Vourliotis E, Bakas G, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Evangelou I, Foudas C, Gianneios P, Katsoulis P, Kokkas P, Mallios S, Manitara K, Manthos N, Papadopoulos I, Strologas J, Bartók M, Chudasama R, Csanad M, Gadallah MMA, Lökös S, Major P, Mandal K, Mehta A, Pasztor G, Surányi O, Veres GI, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Vesztergombi G, Czellar S, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Trocsanyi ZL, Ujvari B, Csorgo T, Nemes F, Novak T, Choudhury S, Komaragiri JR, Kumar D, Panwar L, Tiwari PC, Bahinipati S, Dash D, Kar C, Mal P, Mishra T, Bindhu VKMN, Nayak A, Sahoo DK, Sur N, Swain SK, Bansal S, Beri SB, Bhatnagar V, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur S, Kumari P, Meena M, Sandeep K, Sharma S, Singh JB, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Garg RB, Gola M, Keshri S, Kumar A, Naimuddin M, Priyanka P, Ranjan K, Shah A, Bharti M, Bhattacharya R, Bhattacharya S, Bhowmik D, Dutta S, Ghosh S, Gomber B, Maity M, Nandan S, Palit P, Purohit A, Rout PK, Saha G, Sarkar S, Sharan M, Singh B, Thakur S, Behera PK, Behera SC, Kalbhor P, Muhammad A, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Dutta D, Kumar V, Naskar K, Netrakanti PK, Pant LM, Shukla P, Aziz T, Bhat MA, Dugad S, Verma RK, Mohanty GB, Sarkar U, Banerjee S, Bhattacharya S, Chatterjee S, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Roy D, Dube S, Kansal B, Pandey S, Rane A, Rastogi A, Sharma S, Bakhshiansohi H, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Felcini M, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, Creanza D, De Filippis N, De Palma M, Florio AD, Pilato AD, Elmetenawee W, Fiore L, Gelmi A, Gul M, Iaselli G, Ince M, Lezki S, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, Merlin JA, My S, Nuzzo S, Pompili A, Pugliese G, Ranieri A, Selvaggi G, Silvestris L, Simone FM, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Braibant-Giacomelli S, Campanini R, Capiluppi P, Castro A, Cavallo FR, Ciocca C, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Fontanesi E, Giacomelli P, Giommi L, Grandi C, Guiducci L, Iemmi F, Meo SL, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rovelli T, Siroli GP, Tosi N, Albergo S, Costa S, Mattia AD, Potenza R, Tricomi A, Tuve C, Barbagli G, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D’Alessandro R, Fiori F, Focardi E, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Seidita R, Sguazzoni G, Viliani L, Benussi L, Bianco S, Piccolo D, Bozzo M, Ferro F, Mulargia R, Robutti E, Tosi S, Benaglia A, Beschi A, Brivio F, Cetorelli F, Ciriolo V, De Guio F, Dinardo ME, Dini P, Gennai S, Ghezzi A, Govoni P, Guzzi L, Malberti M, Malvezzi S, Menasce D, Monti F, Moroni L, Paganoni M, Pedrini D, Ragazzi S, de Fatis TT, Valsecchi D, Zuolo D, Buontempo S, Cavallo N, De Iorio A, Fabozzi F, Fienga F, Iorio AOM, Lista L, Meola S, Paolucci P, Rossi B, Sciacca C, Voevodina E, Azzi P, Bacchetta N, Bisello D, Boletti A, Bragagnolo A, Carlin R, Checchia P, De CastroManzano P, Dorigo T, Gasparini F, Gasparini U, Hoh SY, Layer L, Margoni M, Meneguzzo AT, Presilla M, Ronchese P, Rossin R, Simonetto F, Strong G, Tiko A, Tosi M, YARAR H, Zanetti M, Zotto P, Zucchetta A, Zumerle G, Aime‘ C, Braghieri A, Calzaferri S, Fiorina D, Montagna P, Ratti SP, Re V, Ressegotti M, Riccardi C, Salvini P, Vai I, Vitulo P, Biasini M, Bilei GM, Ciangottini D, Fanò L, Lariccia P, Mantovani G, Mariani V, Menichelli M, Moscatelli F, Piccinelli A, Rossi A, Santocchia A, Spiga D, Tedeschi T, Androsov K, Azzurri P, Bagliesi G, Bertacchi V, Bianchini L, Boccali T, Castaldi R, Ciocci MA, Dell’Orso R, Domenico MRD, Donato S, Giannini L, Giassi A, Grippo MT, Ligabue F, Manca E, Mandorli G, Messineo A, Palla F, Ramirez-Sanchez G, Rizzi A, Rolandi G, Chowdhury SR, Scribano A, Shafiei N, Spagnolo P, Tenchini R, Tonelli G, Turini N, Venturi A, Verdini PG, Cavallari F, Cipriani M, Re DD, Marco ED, Diemoz M, Longo E, Meridiani P, Organtini G, Pandolfi F, Paramatti R, Quaranta C, Rahatlou S, Rovelli C, Santanastasio F, Soffi L, Tramontano R, Amapane N, Arcidiacono R, Argiro S, Arneodo M, Bartosik N, Bellan R, Bellora A, Biino C, Cappati A, Cartiglia N, Cometti S, Costa M, Covarelli R, Demaria N, Kiani B, Legger F, Mariotti C, Maselli S, Migliore E, Monaco V, Monteil E, Monteno M, Obertino MM, Ortona G, Pacher L, Pastrone N, Pelliccioni M, Angioni GLP, Ruspa M, Salvatico R, Siviero F, Sola V, Solano A, Soldi D, Staiano A, Trocino D, Belforte S, Candelise V, Casarsa M, Cossutti F, Da Rold A, Ricca GD, Vazzoler F, Dogra S, Huh C, Kim B, Kim DH, Kim GN, Lee J, Lee SW, Moon CS, Oh YD, Pak SI, Radburn-Smith BC, Sekmen S, Yang YC, Kim H, Moon DH, Francois B, Kim TJ, Park J, Cho S, Choi S, Go Y, Ha S, Hong B, Lee K, Lee KS, Lim J, Park J, Park SK, Yoo J, Goh J, Gurtu A, Kim HS, Kim Y, Almond J, Bhyun JH, Choi J, Jeon S, Kim J, Kim JS, Ko S, Kwon H, Lee H, Lee K, Lee S, Nam K, Oh BH, Oh M, Oh SB, Seo H, Yang UK, Yoon I, Jeon D, Kim JH, Ko B, Lee JSH, Park IC, Roh Y, Song D, Watson IJ, Yoo HD, Choi Y, Hwang C, Jeong Y, Lee H, Lee Y, Yu I, Maghrbi Y, Veckalns V, Juodagalvis A, Rinkevicius A, Tamulaitis G, Abdullah WATW, Yusli MN, Zolkapli Z, Benitez JF, Hernandez AC, Quijada JAM, Palomo LV, Ayala G, Castilla-Valdez H, De La Cruz-Burelo E, La Cruz IHD, Lopez-Fernandez R, Herrera CAM, Navarro DAP, Hernández AS, Moreno SC, Barrera CO, García MR, Valencia FV, Eysermans J, Pedraza I, Ibarguen HAS, Estrada CU, Pineda AM, Mijuskovic J, Raicevic N, Krofcheck D, Bheesette S, Butler PH, Ahmad A, Asghar MI, Awan MIM, Hoorani HR, Khan WA, Shah MA, Shoaib M, Waqas M, Avati V, Grzanka L, Malawski M, Bialkowska H, Bluj M, Boimska B, Frueboes T, Górski M, Kazana M, Szleper M, Traczyk P, Zalewski P, Bunkowski K, Byszuk A, Doroba K, Kalinowski A, Konecki M, Krolikowski J, Olszewski M, Walczak M, Araujo M, Bargassa P, Bastos D, Faccioli P, Gallinaro M, Hollar J, Leonardo N, Niknejad T, Seixas J, Shchelina K, Toldaiev O, Varela J, Afanasiev S, Alexakhin V, Gavrilenko M, Golunov A, Golutvin I, Gorbounov N, Gorbunov I, Kamenev A, Karjavine V, Lanev A, Malakhov A, Matveev V, Mitsyn VV, Moisenz P, Palichik V, Perelygin V, Savina M, Shmatov S, Smirnov V, Teryaev O, Trofimov V, Voytishin N, Zarubin A, Gavrilov G, Golovtcov V, Ivanov Y, Kim V, Kuznetsova E, Murzin V, Oreshkin V, Smirnov I, Sosnov D, Sulimov V, Uvarov L, Volkov S, Vorobyev A, Andreev Y, Dermenev A, Gninenko S, Golubev N, Karneyeu A, Kirsanov M, Krasnikov N, Pashenkov A, Pivovarov G, Tlisov D, Toropin A, Epshteyn V, Gavrilov V, Lychkovskaya N, Nikitenko A, Popov V, Safronov G, Spiridonov A, Stepennov A, Toms M, Vlasov E, Zhokin A, Aushev T, Bychkova O, Chadeeva M, Oskin A, Popova E, Rusinov V, Andreev V, Azarkin M, Dremin I, Kirakosyan M, Terkulov A, Belyaev A, Boos E, Dubinin M, Dudko L, Ershov A, Gribushin A, Klyukhin V, Kodolova O, Lokhtin I, Obraztsov S, Petrushanko S, Savrin V, Snigirev A, Blinov V, Dimova T, Kardapoltsev L, Ovtin I, Skovpen Y, Azhgirey I, Bayshev I, Kachanov V, Kalinin A, Konstantinov D, Petrov V, Ryutin R, Sobol A, Troshin S, Tyurin N, Uzunian A, Volkov A, Babaev A, Iuzhakov A, Okhotnikov V, Sukhikh L, Borchsh V, Ivanchenko V, Tcherniaev E, Adzic P, Cirkovic P, Dordevic M, Milenovic P, Milosevic J, Aguilar-Benitez M, Maestre JA, Fernández AÁ, Bachiller I, Luna MB, Bedoya C, Cifuentes JAB, Montoya CAC, Cepeda M, Cerrada M, Colino N, De La Cruz B, Peris AD, Ramos JPF, Flix J, Fouz MC, Alonso AG, Lopez OG, Lopez SG, Hernandez JM, Josa MI, Holgado JL, Moran D, Tobar ÁN, Yzquierdo APC, Pelayo JP, Redondo I, Romero L, Navas SS, Soares MS, Triossi A, Gómez LU, Willmott C, Albajar C, de Trocóniz JF, Reyes-Almanza R, Gonzalez BA, Cuevas J, Erice C, Menendez JF, Folgueras S, Caballero IG, Cortezon EP, Álvarez CR, Sau JR, Bouza VR, Cruz SS, Trapote A, Cabrillo IJ, Calderon A, Quero BC, Campderros JD, Fernandez M, Manteca PJF, Gomez G, Rivero CM, Arbol PMRD, Matorras F, Gomez JP, Prieels C, Ricci-Tam F, Rodrigo T, Ruiz-Jimeno A, Scodellaro L, Vila I, Garcia JMV, Jayananda MK, Kailasapathy B, Sonnadara DUJ, Wickramarathna DDC, Dharmaratna WGD, Liyanage K, Perera N, Wickramage N, Aarrestad TK, Abbaneo D, Akgun B, Auffray E, Auzinger G, Baechler J, Baillon P, Ball AH, Barney D, Bendavid J, Beni N, Bianco M, Bocci A, Bortignon P, Bossini E, Brondolin E, Camporesi T, Cerminara G, Cristella L, d’Enterria D, Dabrowski A, Daci N, Daponte V, David A, De Roeck A, Deile M, Maria RD, Dobson M, Dünser M, Dupont N, Elliott-Peisert A, Emriskova N, Fallavollita F, Fasanella D, Fiorendi S, Florent A, Franzoni G, Fulcher J, Funk W, Giani S, Gigi D, Gill K, Glege F, Gouskos L, Guilbaud M, Gulhan D, Haranko M, Hegeman J, Iiyama Y, Innocente V, James T, Janot P, Kaspar J, Kieseler J, Komm M, Kratochwil N, Lange C, Lecoq P, Long K, Lourenço C, Malgeri L, Mannelli M, Massironi A, Meijers F, Mersi S, Meschi E, Moortgat F, Mulders M, Ngadiuba J, Niedziela J, Orfanelli S, Orsini L, Pantaleo F, Pape L, Perez E, Peruzzi M, Petrilli A, Petrucciani G, Pfeiffer A, Pierini M, Rabady D, Racz A, Rieger M, Rovere M, Sakulin H, Salfeld-Nebgen J, Scarfi S, Schäfer C, Schwick C, Selvaggi M, Sharma A, Silva P, Snoeys W, Sphicas P, Steggemann J, Summers S, Tavolaro VR, Treille D, Tsirou A, Onsem GPV, Vartak A, Verzetti M, Wozniak KA, Zeuner WD, Caminada L, Erdmann W, Horisberger R, Ingram Q, Kaestli HC, Kotlinski D, Langenegger U, Rohe T, Backhaus M, Berger P, Calandri A, Chernyavskaya N, De Cosa A, Dissertori G, Dittmar M, Donegà M, Dorfer C, Gadek T, Espinosa TAG, Grab C, Hits D, Lustermann W, Lyon AM, Manzoni RA, Meinhard MT, Micheli F, Nessi-Tedaldi F, Pauss F, Perovic V, Perrin G, Perrozzi L, Pigazzini S, Ratti MG, Reichmann M, Reissel C, Reitenspiess T, Ristic B, Ruini D, Becerra DAS, Schönenberger M, Stampf V, Olsson MLV, Wallny R, Zhu DH, Amsler C, Botta C, Brzhechko D, Canelli MF, Burgo RD, Heikkilä JK, Huwiler M, Jofrehei A, Kilminster B, Leontsinis S, Macchiolo A, Meiring P, Mikuni VM, Molinatti U, Neutelings I, Rauco G, Reimers A, Robmann P, Schweiger K, Takahashi Y, Wertz S, Adloff C, Kuo CM, Lin W, Roy A, Sarkar T, Yu SS, Ceard L, Chang P, Chao Y, Chen KF, Chen PH, Hou WS, Li YY, Lu RS, Paganis E, Psallidas A, Steen A, Yazgan E, Asavapibhop B, Asawatangtrakuldee C, Srimanobhas N, Boran F, Damarseckin S, Demiroglu ZS, Dolek F, Dozen C, Dumanoglu I, Eskut E, Gokbulut G, Guler Y, Guler EG, Hos I, Isik C, Kangal EE, Kara O, Topaksu AK, Kiminsu U, Onengut G, Ozdemir K, Polatoz A, Simsek AE, Tali B, Tok UG, Turkcapar S, Zorbakir IS, Zorbilmez C, Isildak B, Karapinar G, Ocalan K, Yalvac M, Atakisi IO, Gülmez E, Kaya M, Kaya O, Özçelik Ö, Tekten S, Yetkin EA, Cakir A, Cankocak K, Komurcu Y, Sen S, Sen FA, Cerci S, Kaynak B, Ozkorucuklu S, Cerci DS, Grynyov B, Levchuk L, Bhal E, Bologna S, Brooke JJ, Clement E, Cussans D, Flacher H, Goldstein J, Heath GP, Heath HF, Kreczko L, Krikler B, Paramesvaran S, Sakuma T, Nasr-Storey SSE, Smith VJ, Taylor J, Titterton A, Bell KW, Belyaev A, Brew C, Brown RM, Cockerill DJA, Ellis KV, Harder K, Harper S, Linacre J, Manolopoulos K, Newbold DM, Olaiya E, Petyt D, Reis T, Schuh T, Shepherd-Themistocleous CH, Thea A, Tomalin IR, Williams T, Bainbridge R, Bloch P, Bonomally S, Borg J, Breeze S, Buchmuller O, Bundock A, Cepaitis V, Chahal GS, Colling D, Dauncey P, Davies G, Negra MD, Fedi G, Hall G, Iles G, Langford J, Lyons L, Magnan AM, Malik S, Martelli A, Milosevic V, Nash J, Palladino V, Pesaresi M, Raymond DM, Richards A, Rose A, Scott E, Seez C, Shtipliyski A, Stoye M, Tapper A, Uchida K, Virdee T, Wardle N, Webb SN, Winterbottom D, Zecchinelli AG, Cole JE, Hobson PR, Khan A, Kyberd P, Mackay CK, Reid ID, Teodorescu L, Zahid S, Brinkerhoff A, Call K, Caraway B, Dittmann J, Hatakeyama K, Kanuganti AR, Madrid C, McMaster B, Pastika N, Sawant S, Smith C, Wilson J, Bartek R, Dominguez A, Uniyal R, Hernandez AMV, Buccilli A, Charaf O, Cooper SI, Gleyzer SV, Henderson C, Rumerio P, West C, Akpinar A, Albert A, Arcaro D, Cosby C, Demiragli Z, Gastler D, Rohlf J, Salyer K, Sperka D, Spitzbart D, Suarez I, Yuan S, Zou D, Benelli G, Burkle B, Coubez X, Cutts D, Duh YT, Hadley M, Heintz U, Hogan JM, Kwok KHM, Laird E, Landsberg G, Lau KT, Lee J, Narain M, Sagir S, Syarif R, Usai E, Wong WY, Yu D, Zhang W, Band R, Brainerd C, Breedon R, De La BarcaSanchez MC, Chertok M, Conway J, Conway R, Cox PT, Erbacher R, Flores C, Funk G, Jensen F, Ko W, Kukral O, Lander R, Mulhearn M, Pellett D, Pilot J, Shi M, Taylor D, Tos K, Tripathi M, Yao Y, Zhang F, Bachtis M, Cousins R, Dasgupta A, Hamilton D, Hauser J, Ignatenko M, Lam T, Mccoll N, Nash WA, Regnard S, Saltzberg D, Schnaible C, Stone B, Valuev V, Burt K, Chen Y, Clare R, Gary JW, Shirazi SMAG, Hanson G, Karapostoli G, Long OR, Manganelli N, Negrete MO, Paneva MI, Si W, Wimpenny S, Zhang Y, Branson JG, Chang P, Cittolin S, Cooperstein S, Deelen N, Duarte J, Gerosa R, Gilbert D, Krutelyov V, Letts J, Masciovecchio M, May S, Padhi S, Pieri M, Sharma V, Tadel M, Würthwein F, Yagil A, Amin N, Campagnari C, Citron M, Dorsett A, Dutta V, Incandela J, Marsh B, Mei H, Ovcharova A, Qu H, Quinnan M, Richman J, Sarica U, Stuart D, Wang S, Anderson D, Bornheim A, Cerri O, Dutta I, Lawhorn JM, Lu N, Mao J, Newman HB, Nguyen TQ, Pata J, Spiropulu M, Vlimant JR, Xie S, Zhang Z, Zhu RY, Alison J, Andrews MB, Ferguson T, Mudholkar T, Paulini M, Sun M, Vorobiev I, Cumalat JP, Ford WT, MacDonald E, Mulholland T, Patel R, Perloff A, Stenson K, Ulmer KA, Wagner SR, Alexander J, Cheng Y, Chu J, Cranshaw DJ, Datta A, Frankenthal A, Mcdermott K, Monroy J, Patterson JR, Quach D, Ryd A, Sun W, Tan SM, Tao Z, Thom J, Wittich P, Zientek M, Abdullin S, Albrow M, Alyari M, Apollinari G, Apresyan A, Apyan A, Banerjee S, Bauerdick LAT, Beretvas A, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cremonesi M, Elvira VD, Freeman J, Gecse Z, Gottschalk E, Gray L, Green D, Grünendahl S, Gutsche O, Harris RM, Hasegawa S, Heller R, Herwig TC, Hirschauer J, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klabbers P, Klijnsma T, Klima B, Kortelainen MJ, Lammel S, Lincoln D, Lipton R, Liu M, Liu T, Lykken J, Maeshima K, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, O’Dell V, Papadimitriou V, Pedro K, Pena C, Prokofyev O, Ravera F, Hall AR, Ristori L, Schneider B, Sexton-Kennedy E, Smith N, Soha A, Spalding WJ, Spiegel L, Stoynev S, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Woodard A, Acosta D, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Errico F, Field RD, Guerrero D, Joshi BM, Kim M, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Rosenzweig D, Shi K, Wang J, Wang S, Zuo X, Adams T, Askew A, Diaz D, Habibullah R, Hagopian S, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Noonan D, Rahmani M, Saunders M, Yumiceva F, Adams MR, Apanasevich L, Gonzalez HB, Cavanaugh R, Chen X, Dittmer S, Evdokimov O, Gerber CE, Hangal DA, Hofman DJ, Mills C, Oh G, Roy T, Tonjes MB, Varelas N, Viinikainen J, Wang X, Wu Z, Alhusseini M, Dilsiz K, Durgut S, Gandrajula RP, Haytmyradov M, Khristenko V, Köseyan OK, Merlo JP, Mestvirishvili A, Moeller A, Nachtman J, Ogul H, Onel Y, Ozok F, Penzo A, Snyder C, Tiras E, Wetzel J, Yi K, Amram O, Blumenfeld B, Corcodilos L, Eminizer M, Gritsan AV, Kyriacou S, Maksimovic P, Mantilla C, Roskes J, Swartz M, Vámi T, Barrera CB, Baringer P, Bean A, Bylinkin A, Isidori T, Khalil S, King J, Krintiras G, Kropivnitskaya A, Lindsey C, Minafra N, Murray M, Rogan C, Royon C, Sanders S, Schmitz E, Takaki JDT, Wang Q, Williams J, Wilson G, Duric S, Ivanov A, Kaadze K, Kim D, Maravin Y, Mitchell T, Modak A, Mohammadi A, Rebassoo F, Wright D, Adams E, Baden A, Baron O, Belloni A, Eno SC, Feng Y, Hadley NJ, Jabeen S, Jeng GY, Kellogg RG, Koeth T, Mignerey AC, Nabili S, Seidel M, Skuja A, Tonwar SC, Wang L, Wong K, Abercrombie D, Allen B, Bi R, Brandt S, Busza W, Cali IA, Chen Y, D’Alfonso M, Ceballos GG, Goncharov M, Harris P, Hsu D, Hu M, Klute M, Kovalskyi D, Krupa J, Lee YJ, Luckey PD, Maier B, Marini AC, Mcginn C, Mironov C, Narayanan S, Niu X, Paus C, Rankin D, Roland C, Roland G, Shi Z, Stephans GSF, Sumorok K, Tatar K, Velicanu D, Wang J, Wang TW, Wang Z, Wyslouch B, Chatterjee RM, Evans A, Guts S, Hansen P, Hiltbrand J, Jain S, Krohn M, Kubota Y, Lesko Z, Mans J, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Acosta JG, Oliveros S, Bloom K, Chauhan S, Claes DR, Fangmeier C, Finco L, Golf F, Fernández JRG, Kravchenko I, Siado JE, Snow GR, Stieger B, Tabb W, Yan F, Agarwal G, Bandyopadhyay H, Harrington C, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Roozbahani B, Alverson G, Barberis E, Freer C, Haddad Y, Hortiangtham A, Li J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Odell N, Schmitt MH, Sung K, Velasco M, Bucci R, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Karmgard DJ, Lannon K, Loukas N, Marinelli N, Mcalister I, Meng F, Mohrman K, Musienko Y, Ruchti R, Siddireddy P, Taroni S, Wayne M, Wightman A, Wolf M, Zygala L, Alimena J, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Lefeld A, Winer BL, Yates BR, Das P, Dezoort G, Elmer P, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Lucchini MT, Luo J, Marlow D, Mei K, Ojalvo I, Olsen J, Palmer C, Piroué P, Stickland D, Tully C, Malik S, Norberg S, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Mahakud B, Negro G, Neumeister N, Peng CC, Piperov S, Qiu H, Schulte JF, Stojanovic M, Trevisani N, Wang F, Xiao R, Xie W, Cheng T, Dolen J, Parashar N, Baty A, Dildick S, Ecklund KM, Freed S, Geurts FJM, Kilpatrick M, Kumar A, Li W, Padley BP, Redjimi R, Roberts J, Rorie J, Shi W, Leiton AGS, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Sturdy J, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Verweij M, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wang Y, Wolfe E, Xia F, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Pinna D, Ruggles T, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W. Measurements of the associated production of a W boson and a charm quark in proton-proton collisions at s = 8 TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2022; 82:1094. [PMID: 36507928 PMCID: PMC9722925 DOI: 10.1140/epjc/s10052-022-10897-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 10/09/2022] [Indexed: 05/25/2023]
Abstract
Measurements of the associated production of a W boson and a charm ( c ) quark in proton-proton collisions at a centre-of-mass energy of 8 TeV are reported. The analysis uses a data sample corresponding to a total integrated luminosity of 19.7 fb - 1 collected by the CMS detector at the LHC. The W bosons are identified through their leptonic decays to an electron or a muon, and a neutrino. Charm quark jets are selected using distinctive signatures of charm hadron decays. The product of the cross section and branching fraction σ ( pp → W + c + X ) B ( W → ℓ ν ) , where ℓ = e or μ , and the cross section ratio σ ( pp → W + + c ¯ + X ) / σ ( pp → W - + c + X ) are measured in a fiducial volume and differentially as functions of the pseudorapidity and of the transverse momentum of the lepton from the W boson decay. The results are compared with theoretical predictions. The impact of these measurements on the determination of the strange quark distribution is assessed.
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Grants
- 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
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- 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
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Fund
- Department of Atomic Energy
- Department of Science and Technology
- 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
- Lithuanian Academy of Sciences
- 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 Science and Higher Education
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- 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
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Ministry of Science and Technology
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- 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, 884104 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- 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
- 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
- Lendúlet (“Momentum”) Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- National Science Center, Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education, project no. 14.W03.31.0026 and FSWW-2020-0008
- Russian Foundation for Basic Research, project No.19-42-703014
- 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
- Stavros Niarchos Foundation
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- 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
- 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
- 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
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- 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
- 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
- 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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Ablikim M, Achasov MN, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Choi SK, Chu X, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Jang E, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Plura S, Pogodin S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schönning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi JY, Shi QQ, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian Y, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang T, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YQ, Wang Y, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu Z, Xia L, Xiang T, Xiao D, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu SY, Xu XP, Xu YC, Xu ZP, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HL, Yang HX, Yang L, Yang SL, Yang T, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Study of the Semileptonic Decay Λ_{c}^{+}→Λe^{+}ν_{e}. PHYSICAL REVIEW LETTERS 2022; 129:231803. [PMID: 36563214 DOI: 10.1103/physrevlett.129.231803] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/01/2022] [Indexed: 06/17/2023]
Abstract
The study of the Cabibbo-favored semileptonic decay Λ_{c}^{+}→Λe^{+}ν_{e} is reported using a 4.5 fb^{-1} data sample of e^{+}e^{-} annihilations collected at center-of-mass energies ranging from 4.600 GeV to 4.699 GeV with the BESIII detector at the BEPCII collider. The branching fraction of the decay is measured to be B(Λ_{c}^{+}→Λe^{+}ν_{e})=(3.56±0.11_{stat}±0.07_{syst})%, which is the most precise measurement to date. Furthermore, we perform an investigation of the internal dynamics in Λ_{c}^{+}→Λe^{+}ν_{e}. We provide the first direct comparisons of the differential decay rate and form factors with those predicted from lattice quantum chromodynamics (LQCD) calculations. Combining the measured branching fraction with a q^{2}-integrated rate predicted by LQCD, we determine |V_{cs}|=0.936±0.017_{B}±0.024_{LQCD}±0.007_{τ_{Λ_{c}}}.
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Li T, Zhao Y, Yang X, Feng Y, Li Y, Wu Y, Zhang M, Li X, Hu H, Zhang J, Yuan L, Liu Y, Sun X, Qin P, Chen C, Hu D. Association between insulin-like growth factor-1 and cardiovascular events: a systematic review and dose-response meta-analysis of cohort studies. J Endocrinol Invest 2022; 45:2221-2231. [PMID: 35596917 DOI: 10.1007/s40618-022-01819-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/04/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Insulin-like growth factor-1 (IGF-1) has increasingly been reported as linked to cardiovascular (CV) events; however, reported results have been inconsistent, and no meta-analysis has been undertaken to quantitatively assess this association. METHODS We searched PubMed, Embase, and Web of Science databases for cohort articles published up to December 1, 2020. Fixed or random-effects models were used to estimate the summary relative risks (RRs) and 95% confidence intervals (CIs) of CV events in relation to IGF-1. Restricted cubic splines were used to model the dose-response association. RESULTS We identified 11 articles (thirteen cohort studies) covering a total of 22,995 participants and 3040 CV events in this meta-analysis. The risk of overall CV events reduced by 16% from the highest to the lowest IGF-1 levels (RR 0.83, 95% CI 0.72-0.95), while the occurrence of CV events reduced by 28% (RR 0.72, 95% CI 0.56-0.92), but not for CV deaths, however (RR 1.00, 95% CI 0.65-1.55). We also found linear associations between IGF-1 levels and CV events. With each per 45 μg/mL IGF-1 increase, the pooled RRs were 0.91 (95% CI 0.86-0.96), 0.91 (95% CI 0.85-0.97) and 0.91 (95% CI 0.84-0.98) for overall CV events, for the occurrence of CV events, and for CV deaths, respectively. CONCLUSIONS Our findings based on cohort studies support the contention that any increase in IGF-1 is helpful in reducing the overall risk of CV events. As an important biomarker for assessing the likelihood of CV events, IGF-1 appears to offer a promising prognostic approach for aiding prevention.
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Veggiani G, Villaseñor R, Martyn GD, Tang JQ, Krone MW, Gu J, Chen C, Waters ML, Pearce KH, Baubec T, Sidhu SS. Author Correction: High-affinity chromodomains engineered for improved detection of histone methylation and enhanced CRISPR-based gene repression. Nat Commun 2022; 13:7381. [PMID: 36450737 PMCID: PMC9712645 DOI: 10.1038/s41467-022-35175-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
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He LN, Fu S, Ma H, Chen C, Zhang X, Li H, Du W, Chen T, Jiang Y, Wang Y, Wang Y, Zhou Y, Lin Z, Yang Y, Huang Y, Zhao H, Fang W, Zhang H, Zhang L, Hong S. Early on-treatment tumor growth rate (EOT-TGR) determines treatment outcomes of advanced non-small-cell lung cancer patients treated with programmed cell death protein 1 axis inhibitor. ESMO Open 2022; 7:100630. [PMID: 36442353 PMCID: PMC9808481 DOI: 10.1016/j.esmoop.2022.100630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 10/02/2022] [Accepted: 10/09/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Tumor growth rate (TGR), denoted as percentage change in tumor size per month, is a well-established indicator of tumor growth kinetics. The predictive value of early on-treatment TGR (EOT-TGR) for immunotherapy remains unclear. We sought to establish and validate the association of EOT-TGR with treatment outcomes in patients with advanced non-small-cell lung cancer (aNSCLC) undergoing anti-PD-1/PD-L1 (programmed cell death protein 1/programmed death-ligand 1) therapy. PATIENTS AND METHODS This bicenter retrospective cohort study included a training cohort, a contemporaneously treated internal validation cohort, and an external validation cohort. Computed tomography images were retrieved to calculate EOT-TGR, denoted as tumor burden change per month during a period between baseline and the first imaging evaluation after immunotherapy. Kaplan-Meier methodology and Cox regression analysis were conducted for survival analyses. RESULTS In the pooled cohort (n = 172), 125 patients (72.7%) were males; median age at diagnosis was 58 (range 28-79) years. Based on the training cohort, we determined the optimal cut-off value for EOT-TGR as 10.4%/month. Higher EOT-TGR was significantly associated with inferior overall survival [OS; hazard ratio (HR) 2.93, 95% confidence interval (CI) 1.47-5.83; P = 0.002], worse progression-free survival (PFS; HR 2.44, 95% CI 1.46-4.08; P = 0.001), and lower objective response rate (3.3% versus 20.9%; P = 0.040) and durable clinical benefit rate (6.7% versus 41.9%; P = 0.001). Results were reproducible in the two validation cohorts for OS and PFS. Among 43 patients who had a best response of progressive disease in the training cohort, those with high EOT-TGR had worse OS (HR 2.64; P = 0.041) and were more likely to progress due to target lesions at the first tumor evaluation (85.2% versus 0.0%; P <0.001). CONCLUSIONS Higher EOT-TGR was associated with inferior OS and immunotherapeutic response in patients with aNSCLC undergoing anti-PD-1/PD-L1 therapy. This easy-to-calculate radiologic biomarker may help evaluate the abilities of immunotherapy to prolong survival and assist in tailoring patients' management. TRIAL REGISTRATION ClinicalTrials.govNCT04722406; https://clinicaltrials.gov/ct2/show/NCT04722406.
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Li Q, Zhang R, Fu JL, Zhang J, Su JB, Jin ZC, Chen C, Zhang D, Geng ZM. [The prognostic value of preoperative peripheral blood inflammatory biomarkers for intrahepatic cholangiocarcinoma after radical resection]. ZHONGHUA ZHONG LIU ZA ZHI [CHINESE JOURNAL OF ONCOLOGY] 2022; 44:1194-1201. [PMID: 36380668 DOI: 10.3760/cma.j.cn112152-20210324-00265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To explore the value of preoperative peripheral blood inflammatory biomarkers for predicting the prognosis of intrahepatic cholangiocarcinoma (ICC) after radical resection. Methods: A total of 124 patients who underwent radical resection for ICC in the First Affiliated Hospital of Xi'an Jiaotong University from January 2010 to December 2018 were retrospectively analyzed. Receiver operating characteristic (ROC) curve was conducted to determine the best cut-off values of neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), systemic immune inflammatory index (SII), and systemic inflammatory response index (SIRI). Univariate and multivariate analyses of prognostic factors were performed using Cox proportional hazards regression model. Based on the independent prognostic factors screened by multivariate Cox regression analysis, a nomogram model of overall survival prediction for ICC patients after radical resection was established. Results: Among the 124 patients, 87 patients died and 37 patients survived during the follow-up period. The median overall survival time of the whole patients was 21 months. ROC curve analysis showed that the areas under the curve (AUC) of NLR, PLR, LMR, SII and SIRI for predicting the overall survival of ICC patients after radical resection were 57.86%, 64.21%, 60.61%, 67.57% and 66.03%, respectively. Univariate Cox regression analysis showed that the inflammatory biomarkers of NLR, PLR, SII, and SIRI were associated with overall survival of ICC after radical resection (HR=1.787, 95%CI: 1.165-2.741; HR=1.181, 95% CI: 1.224-2.892; HR=2.412, 95% CI: 1.565-3.717; HR=1.648, 95% CI: 1.081-2.513). Multivariate Cox regression analysis showed that the inflammatory biomarker of SII was an independent prognostic factor of ICC after radical resection (HR=1.863, 95% CI: 1.161-2.989). According to the best cut-off value of SII to predict the overall survival of ICC patients after radical resection (709.86×10(9)/L), the patients were divided into low SII group (SII≤709.86×10(9)/L) and high SII group (SII>709.86×10(9)/L). In the high SII group, the proportions of NLR>3.31, PLR>3.31, SIRI>1.30×10(9)/L, carbohydrate antigen 19-9>39.0 U/ml, Child-Pugh liver function (grade B), hemi-hepatic/extended hepatectomy, combined perineural invasion, N1 stage and TNM stage (ⅢB) were higher than those in the low SII group (P<0.05). Based on the independent prognostic factors screened by multivariate Cox regression analysis, a nomogram model of overall survival prediction for ICC after radical resection was established, the C-index values of the training set and testing set were 0.774 and 0.737, respectively. Conclusions: Preoperative peripheral blood inflammatory marker SII is an independent risk factor for the prognosis of intrahepatic cholangiocarcinoma patients after radical resection. The nomogram model of overall survival prediction established that included SII has a good predictive ability and can be used to evaluate the prognosis of intrahepatic cholangiocarcinoma patients after radical resection.
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Ablikim M, Achasov MN, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Choi SK, Chu X, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Jang E, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp J, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Qu SQ, Rashid KH, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi JY, Shi QQ, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian Y, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YQ, Wang Y, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YJ, Wu Z, Xia L, Xiang T, Xiao D, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu XP, Xu YC, Xu ZP, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HL, Yang HX, Yang L, Yang SL, Yang T, Yang YF, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Measurement of the Absolute Branching Fraction and Decay Asymmetry of Λ→nγ. PHYSICAL REVIEW LETTERS 2022; 129:212002. [PMID: 36461970 DOI: 10.1103/physrevlett.129.212002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/27/2022] [Accepted: 10/24/2022] [Indexed: 06/17/2023]
Abstract
The radiative hyperon decay Λ→nγ is studied using (10087±44)×10^{6} J/ψ events collected with the BESIII detector operating at BEPCII. The absolute branching fraction of the decay Λ→nγ is determined to be (0.832±0.038_{stat}±0.054_{syst})×10^{-3}, which is a factor of 2.1 lower and 5.6 standard deviations different than the previous measurement. By analyzing the joint angular distribution of the decay products, the first determination of the decay asymmetry α_{γ} is reported with a value of -0.16±0.10_{stat}±0.05_{syst}.
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Veggiani G, Villaseñor R, Martyn GD, Tang JQ, Krone MW, Gu J, Chen C, Waters ML, Pearce KH, Baubec T, Sidhu SS. High-affinity chromodomains engineered for improved detection of histone methylation and enhanced CRISPR-based gene repression. Nat Commun 2022; 13:6975. [PMID: 36379931 PMCID: PMC9666628 DOI: 10.1038/s41467-022-34269-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 10/18/2022] [Indexed: 11/16/2022] Open
Abstract
Histone methylation is an important post-translational modification that plays a crucial role in regulating cellular functions, and its dysregulation is implicated in cancer and developmental defects. Therefore, systematic characterization of histone methylation is necessary to elucidate complex biological processes, identify biomarkers, and ultimately, enable drug discovery. Studying histone methylation relies on the use of antibodies, but these suffer from lot-to-lot variation, are costly, and cannot be used in live cells. Chromatin-modification reader domains are potential affinity reagents for methylated histones, but their application is limited by their modest affinities. We used phage display to identify key residues that greatly enhance the affinities of Cbx chromodomains for methylated histone marks and develop a general strategy for enhancing the affinity of chromodomains of the human Cbx protein family. Our strategy allows us to develop powerful probes for genome-wide binding analysis and live-cell imaging. Furthermore, we use optimized chromodomains to develop extremely potent CRISPR-based repressors for tailored gene silencing. Our results highlight the power of engineered chromodomains for analyzing protein interaction networks involving chromatin and represent a modular platform for efficient gene silencing.
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Qiao CY, Zhang H, Zhang Y, Zhang S, Li DJ, Song XD, Yang YQ, Wang XF, Yao N, Chen C, Wang LX, Liu T, Guo Q, Lin T, Cao K, Liang J, Wang NL. [Comparison study for the proportion of underdiagnosed zonulopathy in angle closure glaucoma]. [ZHONGHUA YAN KE ZA ZHI] CHINESE JOURNAL OF OPHTHALMOLOGY 2022; 58:872-881. [PMID: 35359094 DOI: 10.3760/cma.j.cn112142-20211226-00608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To analyze the proportion and clinical characteristics of underdiagnosed zonulopathy in angle closure glaucoma (ACG) patients and to explore the related risk factors. Methods: Case-control study. Continuous cases of ACG patients who underwent phacoemulsification combined with intraocular lens implantation and goniosynechialysis surgery [ACG group, including acute angle closure glaucoma (AACG) and chronic angle closure glaucoma (CACG)] from November 1, 2020 to October 31, 2021 and age-related cataract patients who underwent phacoemulsification combined with intraocular lens implantation surgery in the same period (control group) were included. The diagnosis of zonulopathy was determined according to the intraoperative signs such as wrinkles of the anterior capsule during continuous circular capsulorhexis. The proportion of zonulopathy, preoperative diagnosis rate of zonulopathy, demographic characteristics, anterior chamber depth (ACD), axis length, difference of ACD in both eyes (ACD of the contralateral eye minus ACD of the operated eye) were compared between the two groups. The related risk factors were explored. The paired t-test (comparison between two groups of normally distributed data), non-parametric test (comparison between two groups of non-normally distributed data), Chi-square test (categorical variables), univariate and multivariate logistic regression analysis were used. Results: There were 104 ACG patients (104 eyes), including 63 AACG patients (63 eyes) and 41 CACG patients (41 eyes), and 117 controls (117 eyes). There was no significant difference in age (P=0.29) and gender (P=0.07) between the two groups. The ACG group had shallower anterior chamber (P<0.001), shorter axial length (P<0.001) and more ACD difference in both eyes (P<0.001). In the ACG group, the proportion of zonulopathy was 46.2% (48/104), which was significantly higher than that (6.0%, 7/117) in the control group (P<0.001). In the control group, only zonular laxity was found, while in the ACG group, besides the predominant zonular laxity (68.8%, 33/48), there was zonular dehiscence (31.3%, 15/48). The eyes with AACG (57.1%, 36/63) had a higher proportion of zonulopathy than those with CACG (29.3%, 12/41) (P=0.006). In the ACG group, only 14 cases (29.8%) were diagnosed preoperatively according to slit lamp examination and/or ultrasound biomicroscopy. The proportion of underdiagnosed zonulopathy was 70.8% in the ACG group (34/48). A smaller ACD was found to be related to the zonulopathy in the ACG group. All AACG cases with an ACD ≤2.0 mm and CACG cases with an ACD ≤1.9 mm had zonulopathy. Multivariate logistic regression showed that the ACD difference in both eyes (P=0.025) and the diagnosis of ACG (AACG vs. cataract, P<0.001; CACG vs. cataract, P=0.023) were independent risk factors associated with zonulopathy. Conclusions: The proportion of underdiagnosed zonulopathy among ACG patients is high. Better preoperative diagnostic methods for zonulopathy are needed. Zonulopathy is common in ACG patients, especially in AACG patients, suggesting that zonulopathy may be related to the pathogenesis of ACG. The shallower the ACD, the riskier the zonulopathy. ACD differences between two eyes and ACG types (including AACG and CACG) were related risk factors of zonulopathy.(This article was published ahead of print on the Online-First Publishing Platform for Excellent Scientific Researches of Chinese Medical Association Publishing House on March 11, 2022).
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Zhang CH, Li T, Du X, He XX, Zhou LP, Fan J, Chen C, Zhao YL, Chen W. [Analysis on characteristic of pulmonary tuberculosis cases reported in children from four provinces in China, 2019-2021]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2022; 43:1739-1745. [PMID: 36444456 DOI: 10.3760/cma.j.cn112338-20220630-00580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To analyze the reported characteristics of pulmonary tuberculosis (TB) in children aged 0-14 years in four provinces (municipalities), Beijing, Hubei, Chongqing and Sichuan, in China, and provide evidence for the prevention and control of pulmonary TB in children. Methods: The incidence data of childhood pulmonary TB were collected from notifiable disease and tuberculosis management information system of Chinese information system for disease control and prevention,and descriptive epidemiological methods were used to analyze the medical care seeking flow, characteristics and management inclusion of pulmonary TB cases in children. Statistical analysis and data visualization were conducted with softwares Excel 2015, R 4.1.2 and Echart 4.7.0. Results: A total of 6 811 pulmonary TB cases in children were reported in the four provinces during 2019-2021, in which 4 741 (69.6%) were clinically diagnosed and 2 070 (30.4%) were laboratory confirmed. A total of 526 medical institutions reported TB cases in children, including 356 general hospitals (67.7%, 356/526) reporting 4 706 cases, 11 infectious disease hospitals (2.1%, 11/526) reporting 836 cases and 5 children's hospitals (1.0%, 5/526) reporting 542 cases. A total of 6 249 (91.7%) local cases and 562 (8.3%) non-local cases were reported. The reported local incidence rates of TB from 2019-2021 were 6.20/100 000, 7.10/100 000 and 7.20/100 000, respectively, showing an increase trend year by year. The sex ratio of the cases were 0.98∶1(3 373∶3 438). The cases were mainly distributed in age group 10-14 years (4 887 cases, 71.8%). The cases were mainly students (5 167 cases, 75.9%). The management inclusion rates of the local cases and non-local cases were 20.60% and 2.67%, respectively. Conclusions: The main medical institutions reporting pulmonary TB cases in children were children's hospitals, infectious disease hospitals and TB special hospitals, the incidence of pulmonary TB in children in Sichuan was higher. In 2020, the inter-provincial medical seeking behavior of the pulmonary TB cases decreased significantly. The incidence rate in boys was lower than that in girls, and children aged 10-14 years were the population with high incidence of pulmonary TB. The management inclusion rate in non-local cases was lower than that in local cases.
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Huang Y, Zheng ZW, Chen C, Li K, Chen SY, Chen YY, Jing QL, Ma Y, Luo L, Yang ZC, Zhang ZB. [Epidemiological characteristics of two local COVID-19 outbreaks caused by 2019-nCoV Omicron variant in Guangzhou, China]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2022; 43:1705-1710. [PMID: 36444451 DOI: 10.3760/cma.j.cn112338-20220523-00450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To understand the epidemiological characteristics of two local COVID-19 outbreaks caused by 2019-nCoV Omicron variant in Guangzhou, such as incubation period, serial interval, basic reproductive number (R0) and the influence of gathering places on R0, and provide evidence for the prevention and control of Omicron variant infection. Methods: The data of daily confirmed cases of Omicron variant infection from April 8 to May 8, 2022 in two COVID-19 outbreaks in Guangzhou were collected for model fitting. Weibull, Gamma and lognormal distribution were used to estimate incubation period and serial interval. Exponential growth method and the maximum likelihood estimation were used to estimate R0. Results: The median of incubation period was 2.94 (95%CI: 2.52-3.38) days and median of serial interval was 3.32 (95%CI: 2.89-3.81) days. The estimated R0 in small-size place was 4.40 (95%CI: 3.95-4.85), while the estimated R0 at airport was 11.35 (95%CI: 11.02-11.67). Conclusion: The incubation period of Omicron variant in two local COVID-19 outbreaks in Guangzhou is significantly shorter than that of delta variant. The higher the gathering degree in a place, the larger the R0. Due to its rapid transmission, COVID-19 epidemic is prone to occur. Therefore, the COVID-19 prevention and control strategy should be dynamically adjusted in time.
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Chen C, Cevallos S, Zhou Y. Effects of Storage Temperature and Duration on Flow Cytometry Analysis of Bone Marrow Aspirate Samples. Am J Clin Pathol 2022. [DOI: 10.1093/ajcp/aqac126.256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Abstract
Introduction/Objective
Multiparameter flow cytometry immunophenotyping is a powerful and indispensable tool in the diagnosis of hematologic malignancies, but its accuracy and precision are vulnerable to pre-analytical interferences. Acid-citrate-dextrose (ACD) is one of three main anticoagulants used for marrow collection. It offers better preservation and is commonly used for apheresis stem cell collection. However, ACD may alter the pH of short-draw samples. It is unclear how prolonged storage in ACD affects the results of flow cytometry testing. In this pre-analytical study, we characterized the effects of temperature and storage duration in bone marrow aspirate collected in ACD.
Methods/Case Report
Five bone marrow specimens were collected in ACD and stored at 4°C or room temperature (RT), respectively. Aliquots of specimens were tested at 24, 48, and 72 hours. A flow cytometry panel including CD19, CD33, CD34, CD38, CD45, CD138, and 7-AAD was used to identify lymphocytes, monocytes, granulocytes, myeloid blasts, hematogones, and plasma cells. Absolute cell count, percentage of leukocytes, percentage of membrane- compromised cells (7-AAD bright), and mean-fluorescent-intensities were measured for each subset. The results of each storage condition were compared to the results on the day of sample collection.
Results (if a Case Study enter NA)
We found that granulocytes and plasma cells are most vulnerable to delayed testing, especially when stored at RT. Myeloid blasts, hematogones, monocytes, and lymphocytes were largely stable within 48 hours at 4°C or RT, but their relative representation in total leukocytes was affected by the diminished granulocytes. Variations in surface marker expression of CD45, CD38, and CD138 in the plasma cell subset were also noticed. This effect was less profound at 4°C than RT.
Conclusion
We conclude that delayed testing of specimens collected in ACD within 72 hours does not significantly impact the results of flow cytometry testing for the commonly studied subsets, and 4°C may be a more robust and preferable method for storage.
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Liang CX, Liang GY, Liu HF, Zheng XQ, Xiao D, Huang YX, Chen C, Yu T, Yin D, Chang YB. [Characteristics and risk factors of spinal epidural hematoma after unilateral biportal endoscopic lumbar interbody fusion]. ZHONGHUA YI XUE ZA ZHI 2022; 102:3267-3273. [PMID: 36319178 DOI: 10.3760/cma.j.cn112137-20220512-01040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the incidence, characteristics and risk factors of spinal epidural hematoma after unilateral biportal endoscopic (UBE) lumbar spine surgery. Methods: The clinical data of 105 patients who underwent lumbar spine surgery under UBE in Guangdong Provincial People's Hospital from February 2020 to March 2021 were retrospectively reviewed. Of the patients, 48(45.7%) were male and 57(54.3%) were female, the mean age was (60.1±11.4) years (ranged 26 to 85 years). The MRI images at the third day post-surgery were observed, and the occurrence of hematoma was counted. Patients were assigned to normal group and hematoma group based on the presence of hematoma or not. The related clinical indicators of each patients were collected and used for comparison between two different groups. Logistic stepwise regression model was used to analyze whether each index was a risk factor for hematoma after the UBE lumbar fusion. Results: The total hematoma incidence rate was 28.6%(30/105), the symptomatic hematoma rate was 6.7%(7/105), and the hematoma reoperation rate was 0.9%(1/105). Univariate logistic regression analysis showed that hypertension (OR=3.368, 95%CI: 1.389-8.171), diabetes (OR=3.589, 95%CI: 1.230-10.476), admission systolic blood pressure>140 mmHg (1 mmHg=0.133 kPa,OR=3.687, 95%CI: 1.493-9.017), platelets<200×109/L (OR=0.300, 95%CI: 0.119-0.785), preoperative blood calcium<2.25 mmol/L (OR=0.340, 95%CI: 0.142-0.818), spinal stenosis grade D (OR=4.462, 95%CI: 1.810-10.996) were possible risk factors for spinal hematoma after UBE lumbar fusion. Multivariate logistic regression analysis showed that admission blood pressure systolic blood pressure>140 mmHg (OR=3.788, 95%CI:1.055-13.606), preoperative blood calcium<2.25 mmol/L (OR=78.544, 95%CI:3.895-1 584.058) and spinal stenosis grade D (OR=3.698, 95%CI:1.110-12.325) were risk factors for spinal hematoma after UBE lumbar fusion (all P<0.05). Conclusion: The types of spinal canal hematoma after UBE lumbar fusion include localized and extended type. The risk factors for hematoma include high systolic blood pressure on admission, low preoperative blood calcium and severe spinal stenosis.
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Ju AP, Zhou JH, Gu H, Ye LL, Chen C, Guo YB, Wang J, Zhang ZW, Qu YL, Liu Y, Liu L, Xue K, Zhao F, Lyu YB, Ye L, Shi X. [Association of body mass index and waist circumference with frailty among people aged 80 years and older in Chinese]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2022; 56:1584-1590. [PMID: 36372748 DOI: 10.3760/cma.j.cn112150-20211228-01196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To examine the association of body mass index (BMI) and waist circumference (WC) with frailty among oldest-old adults in China. Methods: A total of 7 987 people aged 80 years and older (oldest-old) who participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2017-2018 were included. Information on demographic characteristics, behavior pattern, diet, activities of daily living, cognitive function, health status, disease condition were collected by questionnaire and physical examination. Generalized linear mixed model and restricted cubic splines (RCS) were used to analyze the association of BMI and WC with frailty. Results: The mean age of all participants was 91.7 years, and their mean BMI and WC were (21.3±3.5) kg/m2 and (82.9±10.5) cm, respectively. The proportion of male was 42.3% (3 377/7 987), and the proportion of people with frailty was 33.7% (2 664/7 987). After controlling confounding factors, compared with T2 (19.1-22.1 kg/m2) of BMI, the OR (95%CI) of the female T1 (<19.1 kg/m2) and T3 (≥22.2 kg/m2) group was 1.39 (1.17-1.65) and 1.27 (1.07-1.52), respectively. Compared with T2 (77-85 cm) of WC, the OR (95%CI) of female T1 (<77 cm) and T3 (≥86 cm) group was 1.20 (1.01-1.42) and 1.10 (0.93-1.31), respectively. The results of multiple linear regression model with restrictive cubic spline showed that there was a non-linear association of BMI and WC with frailty in female. Conclusion: There is a U-shaped association of BMI and WC with frailty in female participants.
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Abbasi R, Ackermann M, Adams J, Aguilar JA, Ahlers M, Ahrens M, Alameddine JM, Alispach C, Alves AA, Amin NM, Andeen K, Anderson T, Anton G, Argüelles C, Ashida Y, Axani S, Bai X, Balagopal V. A, Barbano A, Barwick SW, Bastian B, Basu V, Baur S, Bay R, Beatty JJ, Becker KH, Becker Tjus J, Bellenghi C, BenZvi S, Berley D, Bernardini E, Besson DZ, Binder G, Bindig D, Blaufuss E, Blot S, Boddenberg M, Bontempo F, Borowka J, Böser S, Botner O, Böttcher J, Bourbeau E, Bradascio F, Braun J, Brinson B, Bron S, Brostean-Kaiser J, Browne S, Burgman A, Burley RT, Busse RS, Campana MA, Carnie-Bronca EG, Chen C, Chen Z, Chirkin D, Choi K, Clark BA, Clark K, Classen L, Coleman A, Collin GH, Conrad JM, Coppin P, Correa P, Cowen DF, Cross R, Dappen C, Dave P, De Clercq C, DeLaunay JJ, Delgado López D, Dembinski H, Deoskar K, Desai A, Desiati P, de Vries KD, de Wasseige G, de With M, DeYoung T, Diaz A, Díaz-Vélez JC, Dittmer M, Dujmovic H, Dunkman M, DuVernois MA, Dvorak E, Ehrhardt T, Eller P, Engel R, Erpenbeck H, Evans J, Evenson PA, Fan KL, Fazely AR, Fedynitch A, Feigl N, Fiedlschuster S, Fienberg AT, Filimonov K, Finley C, Fischer L, Fox D, Franckowiak A, Friedman E, Fritz A, Fürst P, Gaisser TK, Gallagher J, Ganster E, Garcia A, Garrappa S, Gerhardt L, Ghadimi A, Glaser C, Glauch T, Glüsenkamp T, Goldschmidt A, Gonzalez JG, Goswami S, Grant D, Grégoire T, Griswold S, Günther C, Gutjahr P, Haack C, Hallgren A, Halliday R, Halve L, Halzen F, Ha Minh M, Hanson K, Hardin J, Harnisch AA, Haungs A, Hebecker D, Helbing K, Henningsen F, Hettinger EC, Hickford S, Hignight J, Hill C, Hill GC, Hoffman KD, Hoffmann R, Hokanson-Fasig B, Hoshina K, Huang F, Huber M, Huber T, Hultqvist K, Hünnefeld M, Hussain R, Hymon K, In S, Iovine N, Ishihara A, Jansson M, Japaridze GS, Jeong M, Jin M, Jones BJP, Kang D, Kang W, Kang X, Kappes A, Kappesser D, Kardum L, Karg T, Karl M, Karle A, Katz U, Kauer M, Kellermann M, Kelley JL, Kheirandish A, Kin K, Kintscher T, Kiryluk J, Klein SR, Koirala R, Kolanoski H, Kontrimas T, Köpke L, Kopper C, Kopper S, Koskinen DJ, Koundal P, Kovacevich M, Kowalski M, Kozynets T, Kun E, Kurahashi N, Lad N, Lagunas Gualda C, Lanfranchi JL, Larson MJ, Lauber F, Lazar JP, Lee JW, Leonard K, Leszczyńska A, Li Y, Lincetto M, Liu QR, Liubarska M, Lohfink E, Lozano Mariscal CJ, Lu L, Lucarelli F, Ludwig A, Luszczak W, Lyu Y, Ma WY, Madsen J, Mahn KBM, Makino Y, Mancina S, Mariş IC, Martinez-Soler I, Maruyama R, Mase K, McElroy T, McNally F, Mead JV, Meagher K, Mechbal S, Medina A, Meier M, Meighen-Berger S, Micallef J, Mockler D, Montaruli T, Moore RW, Morse R, Moulai M, Naab R, Nagai R, Nahnhauer R, Naumann U, Necker J, Nguyen LV, Niederhausen H, Nisa MU, Nowicki SC, Nygren D, Obertacke Pollmann A, Oehler M, Oeyen B, Olivas A, O’Sullivan E, Pandya H, Pankova DV, Park N, Parker GK, Paudel EN, Paul L, Pérez de los Heros C, Peters L, Peterson J, Philippen S, Pieper S, Pittermann M, Pizzuto A, Plum M, Popovych Y, Porcelli A, Prado Rodriguez M, Price PB, Pries B, Przybylski GT, Raab C, Rack-Helleis J, Raissi A, Rameez M, Rawlins K, Rea IC, Rehman A, Reichherzer P, Reimann R, Renzi G, Resconi E, Reusch S, Rhode W, Richman M, Riedel B, Roberts EJ, Robertson S, Roellinghoff G, Rongen M, Rott C, Ruhe T, Ryckbosch D, Rysewyk Cantu D, Safa I, Saffer J, Sanchez Herrera SE, Sandrock A, Sandroos J, Santander M, Sarkar S, Sarkar S, Satalecka K, Schaufel M, Schieler H, Schindler S, Schmidt T, Schneider A, Schneider J, Schröder FG, Schumacher L, Schwefer G, Sclafani S, Seckel D, Seunarine S, Sharma A, Shefali S, Silva M, Skrzypek B, Smithers B, Snihur R, Soedingrekso J, Soldin D, Spannfellner C, Spiczak GM, Spiering C, Stachurska J, Stamatikos M, Stanev T, Stein R, Stettner J, Steuer A, Stezelberger T, Stokstad R, Stürwald T, Stuttard T, Sullivan GW, Taboada I, Ter-Antonyan S, Tilav S, Tischbein F, Tollefson K, Tönnis C, Toscano S, Tosi D, Trettin A, Tselengidou M, Tung CF, Turcati A, Turcotte R, Turley CF, Twagirayezu JP, Ty B, Unland Elorrieta MA, Valtonen-Mattila N, Vandenbroucke J, van Eijndhoven N, Vannerom D, van Santen J, Verpoest S, Walck C, Watson TB, Weaver C, Weigel P, Weindl A, Weiss MJ, Weldert J, Wendt C, Werthebach J, Weyrauch M, Whitehorn N, Wiebusch CH, Williams DR, Wolf M, Woschnagg K, Wrede G, Wulff J, Xu XW, Yanez JP, Yoshida S, Yu S, Yuan T, Zhang Z, Zhelnin P. Evidence for neutrino emission from the nearby active galaxy NGC 1068. Science 2022; 378:538-543. [DOI: 10.1126/science.abg3395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
A supermassive black hole, obscured by cosmic dust, powers the nearby active galaxy NGC 1068. Neutrinos, which rarely interact with matter, could provide information on the galaxy’s active core. We searched for neutrino emission from astrophysical objects using data recorded with the IceCube neutrino detector between 2011 and 2020. The positions of 110 known gamma-ray sources were individually searched for neutrino detections above atmospheric and cosmic backgrounds. We found that NGC 1068 has an excess of
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neutrinos at tera–electron volt energies, with a global significance of 4.2σ, which we interpret as associated with the active galaxy. The flux of high-energy neutrinos that we measured from NGC 1068 is more than an order of magnitude higher than the upper limit on emissions of tera–electron volt gamma rays from this source.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Cui JJ, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fritsch M, Fu CD, Gao Y, Gao Y, Garzia I, Ge PT, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan CY, Guo AQ, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Andersson WI, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jiang HB, Jiang SS, Jiang XS, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth MG, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JL, Li JQ, Li JS, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu T, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XX, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Plura S, Pogodin S, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao QT, Teng JX, Thoren V, Tian WH, Tian YT, Uman I, Wang B, Wang DY, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YD, Wang YF, Wang YQ, Wang YY, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Z, Xia L, Xiang T, Xiao H, Xiao SY, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xu CF, Xu CJ, Xu GF, Xu QJ, Xu W, Xu XP, Xu YC, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HX, Yang L, Yang SL, Yang YX, Yang YX, Yang Y, Yang Z, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng XZ, Zeng Y, Zhang AQ, Zhang BL, Zhang BX, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu TJ, Zhu WJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Observation of an Isoscalar Resonance with Exotic J^{PC}=1^{-+} Quantum Numbers in J/ψ→γηη^{'}. PHYSICAL REVIEW LETTERS 2022; 129:192002. [PMID: 36399732 DOI: 10.1103/physrevlett.129.192002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 05/03/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
Using a sample of (10.09±0.04)×10^{9} J/ψ events collected with the BESIII detector operating at the BEPCII storage ring, a partial wave analysis of the decay J/ψ→γηη^{'} is performed. The first observation of an isoscalar state with exotic quantum numbers J^{PC}=1^{-+}, denoted as η_{1}(1855), is reported in the process J/ψ→γη_{1}(1855) with η_{1}(1855)→ηη^{'}. Its mass and width are measured to be (1855±9_{-1}^{+6}) MeV/c^{2} and (188±18_{-8}^{+3}) MeV, respectively, where the first uncertainties are statistical and the second are systematic, and its statistical significance is estimated to be larger than 19σ.
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Zhu P, Xiong X, Chen C, Ran J. Association of aldehyde exposure with bone mineral density in the national health and nutrition examination survey (NHANES 2013-2014). J Endocrinol Invest 2022; 45:2085-2096. [PMID: 35788555 DOI: 10.1007/s40618-022-01840-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/10/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE The association between aldehyde exposure and bone health in humans remains unclear. This study was to evaluate the association of serum aldehydes with bone mineral density (BMD) and osteopenia/osteoporosis. METHODS We analyzed the US National Health and Nutrition Examination Survey cross-sectional data from 2013 to 2014. Weighted multivariate-adjusted linear regression and logistic regression models were used to assess the association between specific aldehydes and osteopenia/osteoporosis. Associations between aldehyde combinations and BMD were also evaluated using the restricted cubic spline (RCS) method. RESULTS Compared with men in the first tertile, those in the third tertile of propanaldehyde concentration were negatively associated with proximal femur and lumbar spine BMD. Significant inverse associations were observed between benzaldehyde exposure and trochanter BMD in women. Benzaldehyde increased the risk of osteopenia/osteoporosis 2.75-fold [95% confidence interval (CI) = 1.06, 7.11] in the highest tertile in women compared to the lowest tertile concentration. In males, the prevalence of total femur, femur neck, and trochanter osteopenia/osteoporosis was significantly higher in the highest versus the lowest tertile of propanaldehyde exposure, with odds ratios (ORs) of 6.84 (95% CI = 2.33, 20.04), 2.72 (95% CI = 1.18, 6.27), and 3.26 (95% CI = 1.25, 8.56), respectively. RCS regression also showed decreased BMD continuously with increasing serum mixed aldehyde levels. CONCLUSIONS Serum aldehyde concentrations were associated with low BMD and high osteopenia/osteoporosis risk in adults, with propanaldehyde and benzaldehyde being the most critical. Co-exposure to aldehyde combinations was negatively correlated with BMD.
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Chen C. 241P P16 IHC stain is an useful marker for predicting outcome of oropharyngeal cancer in Taiwan. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
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Zhang S, Reynolds M, Dusenbery K, Chen C, Alaei P, Alshreef A, Sterling D, Sloan L, Patel K, Ferreira C. Considerations in Treatment Planning and Dosimetric Specifications of Permanent 131Cs Brachytherapy Implantation in Treatment of Brain Tumor – An Institutional Experience. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Chen C, Foer D. SEVERE INFLAMMATORY RESPONSE SYNDROME AFTER TMP-SMX IN A HEALTHY PATIENT. Ann Allergy Asthma Immunol 2022. [DOI: 10.1016/j.anai.2022.08.790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Greenlund L, Mulford K, Shanley R, Neil E, Lawrence J, Arnold S, Olin M, Pluhar G, Venteicher A, Chen C, Ferreira C, Reynolds M, Cho L, Shoo A, Yuan J, Dusenbery K, Kleinberg L, Terezakis S, Wilke C, Sloan L. Hypofractionated vs. Conventionally Fractionated Radiotherapy for Glioblastoma: Peripheral Blood Leukocyte Comparison prior to and Following Chemoradiation. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Ablikim M, Achasov MN, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Holtmann T, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Pelizaeus M, Peng HP, Pettersson J, Ping JL, Ping RG, Plura S, Pogodin S, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Qu SQ, Rashid KH, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao LY, Tao QT, Teng JX, Thoren V, Tian WH, Tian Y, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang T, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang YD, Wang YF, Wang YH, Wang YQ, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu Z, Xia L, Xiang T, Xiao D, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu SY, Xu XP, Xu YC, Xu ZP, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HL, Yang HX, Yang L, Yang SL, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Observation of an a_{0}-like State with Mass of 1.817 GeV in the Study of D_{s}^{+}→K_{S}^{0}K^{+}π^{0} Decays. PHYSICAL REVIEW LETTERS 2022; 129:182001. [PMID: 36374689 DOI: 10.1103/physrevlett.129.182001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 07/08/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Using e^{+}e^{-} annihilation data corresponding to an integrated luminosity of 6.32 fb^{-1} collected at center-of-mass energies between 4.178 and 4.226 GeV with the BESIII detector, we perform the first amplitude analysis of the decay D_{s}^{+}→K_{S}^{0}K^{+}π^{0} and determine the relative branching fractions and phases for intermediate processes. We observe an a_{0}-like state with mass of 1.817 GeV in its decay to K_{S}^{0}K^{+} for the first time. In addition, we measure the ratio {B[D_{s}^{+}→K[over ¯]^{*}(892)^{0}K^{+}]/B[D_{s}^{+}→K[over ¯]^{0}K^{*}(892)^{+}]} to be 2.35_{-0.23stat}^{+0.42}±0.10_{syst}. Finally, we provide a precision measurement of the absolute branching fraction B(D_{s}^{+}→K_{S}^{0}K^{+}π^{0})=(1.46±0.06_{stat}±0.05_{syst})%.
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Wei J, Chen C, Chang SF, Dang YM. [Primary gastric choriocarcinoma with deletion mutations in the PTEN gene: report of a case]. ZHONGHUA BING LI XUE ZA ZHI = CHINESE JOURNAL OF PATHOLOGY 2022; 51:1054-1056. [PMID: 36207927 DOI: 10.3760/cma.j.cn112151-20220303-00146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
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Abbasi R, Ackermann M, Adams J, Aguilar JA, Ahlers M, Ahrens M, Alameddine JM, Alves AA, Amin NM, Andeen K, Anderson T, Anton G, Argüelles C, Ashida Y, Axani S, Bai X, Balagopal V A, Barwick SW, Bastian B, Basu V, Baur S, Bay R, Beatty JJ, Becker KH, Becker Tjus J, Beise J, Bellenghi C, Benda S, BenZvi S, Berley D, Bernardini E, Besson DZ, Binder G, Bindig D, Blaufuss E, Blot S, Boddenberg M, Bontempo F, Book JY, Borowka J, Böser S, Botner O, Böttcher J, Bourbeau E, Bradascio F, Braun J, Brinson B, Bron S, Brostean-Kaiser J, Burley RT, Busse RS, Campana MA, Carnie-Bronca EG, Chen C, Chen Z, Chirkin D, Choi K, Clark BA, Clark K, Classen L, Coleman A, Collin GH, Conrad JM, Coppin P, Correa P, Cowen DF, Cross R, Dappen C, Dave P, De Clercq C, DeLaunay JJ, Delgado López D, Dembinski H, Deoskar K, Desai A, Desiati P, de Vries KD, de Wasseige G, de With M, DeYoung T, Diaz A, Díaz-Vélez JC, Dittmer M, Dujmovic H, Dunkman M, DuVernois MA, Ehrhardt T, Eller P, Engel R, Erpenbeck H, Evans J, Evenson PA, Fan KL, Fazely AR, Fedynitch A, Feigl N, Fiedlschuster S, Fienberg AT, Finley C, Fischer L, Fox D, Franckowiak A, Friedman E, Fritz A, Fürst P, Gaisser TK, Gallagher J, Ganster E, Garcia A, Garrappa S, Gerhardt L, Ghadimi A, Glaser C, Glauch T, Glüsenkamp T, Goehlke N, Gonzalez JG, Goswami S, Grant D, Grégoire T, Griswold S, Günther C, Gutjahr P, Haack C, Hallgren A, Halliday R, Halve L, Halzen F, Ha Minh M, Hanson K, Hardin J, Harnisch AA, Haungs A, Hebecker D, Helbing K, Henningsen F, Hettinger EC, Hickford S, Hignight J, Hill C, Hill GC, Hoffman KD, Hoshina K, Hou W, Huang F, Huber M, Huber T, Hultqvist K, Hünnefeld M, Hussain R, Hymon K, In S, Iovine N, Ishihara A, Jansson M, Japaridze GS, Jeong M, Jin M, Jones BJP, Kang D, Kang W, Kang X, Kappes A, Kappesser D, Kardum L, Karg T, Karl M, Karle A, Katz U, Kauer M, Kellermann M, Kelley JL, Kheirandish A, Kin K, Kintscher T, Kiryluk J, Klein SR, Kochocki A, Koirala R, Kolanoski H, Kontrimas T, Köpke L, Kopper C, Kopper S, Koskinen DJ, Koundal P, Kovacevich M, Kowalski M, Kozynets T, Krupczak E, Kun E, Kurahashi N, Lad N, Lagunas Gualda C, Lanfranchi JL, Larson MJ, Lauber F, Lazar JP, Lee JW, Leonard K, Leszczyńska A, Li Y, Lincetto M, Liu QR, Liubarska M, Lohfink E, Lozano Mariscal CJ, Lu L, Lucarelli F, Ludwig A, Luszczak W, Lyu Y, Ma WY, Madsen J, Mahn KBM, Makino Y, Mancina S, Mariş IC, Martinez-Soler I, Maruyama R, McCarthy S, McElroy T, McNally F, Mead JV, Meagher K, Mechbal S, Medina A, Meier M, Meighen-Berger S, Micallef J, Mockler D, Montaruli T, Moore RW, Morse R, Moulai M, Mukherjee T, Naab R, Nagai R, Naumann U, Necker J, Nguyễn LV, Niederhausen H, Nisa MU, Nowicki SC, Obertacke Pollmann A, Oehler M, Oeyen B, Olivas A, O'Sullivan E, Pandya H, Pankova DV, Park N, Parker GK, Paudel EN, Paul L, Pérez de Los Heros C, Peters L, Peterson J, Philippen S, Pieper S, Pizzuto A, Plum M, Popovych Y, Porcelli A, Prado Rodriguez M, Pries B, Przybylski GT, Raab C, Rack-Helleis J, Raissi A, Rameez M, Rawlins K, Rea IC, Rechav Z, Rehman A, Reichherzer P, Reimann R, Renzi G, Resconi E, Reusch S, Rhode W, Richman M, Riedel B, Roberts EJ, Robertson S, Roellinghoff G, Rongen M, Rott C, Ruhe T, Ryckbosch D, Rysewyk Cantu D, Safa I, Saffer J, Sampathkumar P, Sanchez Herrera SE, Sandrock A, Santander M, Sarkar S, Sarkar S, Satalecka K, Schaufel M, Schieler H, Schindler S, Schmidt T, Schneider A, Schneider J, Schröder FG, Schumacher L, Schwefer G, Sclafani S, Seckel D, Seunarine S, Sharma A, Shefali S, Shimizu N, Silva M, Skrzypek B, Smithers B, Snihur R, Soedingrekso J, Soldin D, Spannfellner C, Spiczak GM, Spiering C, Stachurska J, Stamatikos M, Stanev T, Stein R, Stettner J, Stezelberger T, Stürwald T, Stuttard T, Sullivan GW, Taboada I, Ter-Antonyan S, Thwaites J, Tilav S, Tischbein F, Tollefson K, Tönnis C, Toscano S, Tosi D, Trettin A, Tselengidou M, Tung CF, Turcati A, Turcotte R, Turley CF, Twagirayezu JP, Ty B, Unland Elorrieta MA, Valtonen-Mattila N, Vandenbroucke J, van Eijndhoven N, Vannerom D, van Santen J, Veitch-Michaelis J, Verpoest S, Walck C, Wang W, Watson TB, Weaver C, Weigel P, Weindl A, Weiss MJ, Weldert J, Wendt C, Werthebach J, Weyrauch M, Whitehorn N, Wiebusch CH, Willey N, Williams DR, Wolf M, Wrede G, Wulff J, Xu XW, Yanez JP, Yildizci E, Yoshida S, Yu S, Yuan T, Zhang Z, Zhelnin P. Search for Unstable Sterile Neutrinos with the IceCube Neutrino Observatory. PHYSICAL REVIEW LETTERS 2022; 129:151801. [PMID: 36269964 DOI: 10.1103/physrevlett.129.151801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/17/2022] [Accepted: 08/23/2022] [Indexed: 06/16/2023]
Abstract
We present a search for an unstable sterile neutrino by looking for a resonant signal in eight years of atmospheric ν_{μ} data collected from 2011 to 2019 at the IceCube Neutrino Observatory. Both the (stable) three-neutrino and the 3+1 sterile neutrino models are disfavored relative to the unstable sterile neutrino model, though with p values of 2.8% and 0.81%, respectively, we do not observe evidence for 3+1 neutrinos with neutrino decay. The best-fit parameters for the sterile neutrino with decay model from this study are Δm_{41}^{2}=6.7_{-2.5}^{+3.9} eV^{2}, sin^{2}2θ_{24}=0.33_{-0.17}^{+0.20}, and g^{2}=2.5π±1.5π, where g is the decay-mediating coupling. The preferred regions of the 3+1+decay model from short-baseline oscillation searches are excluded at 90% C.L.
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Yang HF, He KY, Koo J, Shen SW, Zhang SH, Liu G, Liu YZ, Chen C, Liang AJ, Huang K, Wang MX, Gao JJ, Luo X, Yang LX, Liu JP, Sun YP, Yan SC, Yan BH, Chen YL, Xi X, Liu ZK. Visualization of Chiral Electronic Structure and Anomalous Optical Response in a Material with Chiral Charge Density Waves. PHYSICAL REVIEW LETTERS 2022; 129:156401. [PMID: 36269973 DOI: 10.1103/physrevlett.129.156401] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 09/07/2022] [Indexed: 05/02/2023]
Abstract
Chiral materials have attracted significant research interests as they exhibit intriguing physical properties, such as chiral optical response, spin-momentum locking, and chiral induced spin selectivity. Recently, layered transition metal dichalcogenide 1T-TaS_{2} has been found to host a chiral charge density wave (CDW) order. Nevertheless, the physical consequences of the chiral order, for example, in electronic structures and the optical properties, are yet to be explored. Here, we report the spectroscopic visualization of an emergent chiral electronic band structure in the CDW phase, characterized by windmill-shaped Fermi surfaces. We uncover a remarkable chirality-dependent circularly polarized Raman response due to the salient in-plane chiral symmetry of CDW, although the ordinary circular dichroism vanishes. Chiral Fermi surfaces and anomalous Raman responses coincide with the CDW transition, proving their lattice origin. Our Letter paves a path to manipulate the chiral electronic and optical properties in two-dimensional materials and explore applications in polarization optics and spintronics.
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Chen C, Liu J, Zhong Y, Li TT. [A review on heat-wave early warning based on population health risk]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2022; 56:1461-1466. [PMID: 36274614 DOI: 10.3760/cma.j.cn112150-20220429-00433-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Global warming has caused frequent heat waves worldwide. In order to respond to heat waves and enhance the public's protection abilities, Europe, the United States and other countries have extensively carried out research on heat-health early warning, and initially achieved good health benefits based on a heat-health early warning system. However, the research on heat-health early warning is still limited in China, especially on health risks at the population level. Based on evidence-based thinking, our study combs the research progress of heat-health early warning from four aspects: early warning indicators, early warning models, early warning thresholds, and early warning ranks, and clarifies the key points of the construction of heat-health early warning models and rank schemes, in order to provide early warning technology for the rapid development of national heat-heath early warning in China.
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De Caterina R, Unverdorben M, Lee BC, Yamashita T, Lin WS, Wang CC, Pecen L, Borrow A, Chen C, Kirchhof P. Real-world effectiveness and safety of edoxaban in patients with and without a history of ischaemic stroke: results from the ETNA-AF programme. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) patients with a history of ischaemic stroke (IS) have a higher risk for recurrent IS events and were largely excluded from the pivotal, randomised, controlled phase 3 trials on oral anticoagulants. Thus, the effectiveness and safety of edoxaban in these patients need to be studied in a real-world setting.
Purpose
To compare edoxaban real-world effectiveness and safety in AF patients with or without an IS history.
Methods
The Global ETNA-AF programme (EU: NCT02944019, Japan: UMIN000017011, South Korea/Taiwan: NCT02951039) integrates data from multiple prospective, observational, noninterventional regional studies of AF patients receiving edoxaban for stroke prevention. This snapshot analysis summarises baseline characteristics with medical history and 2-year annualised rates of all-cause death, cardiovascular (CV) death, stroke (haemorrhagic, ischaemic, any), and bleeding (including major bleeding [MB], major gastrointestinal [GI] bleeding, intracranial haemorrhage [ICH], clinically relevant nonmajor bleeding [CRNMB], and any bleeding) in patients with or without IS history.
Results
Data from 27,333 patients (3215 with prior IS and 24,118 without) from Europe, Japan, South Korea, and Taiwan were analysed. Patients with IS history were significantly older, more likely ≥75 years of age, and had a lower mean body weight and creatinine clearance (P<0.0001 for all; Table). Patients with IS history also had significantly higher baseline stroke (CHA2DS2-VASc) and bleeding (HAS-BLED) risk scores (P<0.0001 for both; Table). A significantly higher percentage of patients with IS history had previous transient ischaemic attacks (TIA), MB, and ICH (P<0.0001 for all; Table). Patients with IS history more likely received edoxaban 30 mg vs 60 mg at baseline (P<0.0001). Effectiveness and safety outcomes hazard ratios are shown in the Figure. Patients with IS history had significantly higher rates of all-cause death (4.5% vs 3.0%; P<0.0001), CV death (1.9% vs 1.4%; P=0.004), IS (2.5% vs 0.5%; P<0.0001), any stroke (3.1% vs 0.7%; P<0.0001), and TIA (0.5% vs 0.2%; P=0.0002). Patients with IS history had significantly higher annualised rates of MB (1.6% vs 1.0%; P<0.0001), major GI bleeding (0.8% vs 0.5%; P=0.003), ICH (0.6% vs 0.3%; P<0.0001), haemorrhagic stroke (0.5% vs 0.2%; P<0.0001), CRNMB (2.3% vs 1.3%; P<0.0001), and any bleeding (6.1% vs 4.1%; P<0.0001).
Conclusions
Patients with AF who have a history of IS are more likely elderly; have histories of MB, ICH, and TIA; and have high baseline stroke and bleeding risk scores. Patients with IS history receiving edoxaban have a considerably higher likelihood of experiencing IS or TIA, whereas the risk of experiencing any bleeding event (with the exception of ICH) is only modestly higher than in those without IS history.
Funding Acknowledgement
Type of funding sources: Private company. Main funding source(s): Daiichi Sankyo
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Siller-Matula J, Unverdorben M, Wang CC, Koretsune Y, Pecen L, Borrow A, Chen C, Kirchhof P, De Caterina R. The real-world effectiveness and safety of edoxaban treatment in 27,333 Global ETNA-AF programme patients with and without a history of heart failure. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Heart failure (HF) occurs in approximately 26% of patients with atrial fibrillation (AF). Real-world data of oral anticoagulation with edoxaban in AF patients with HF history are limited.
Purpose
To compare edoxaban effectiveness and safety in AF patients with or without HF history.
Methods
The Global ETNA-AF programme (EU: NCT02944019, Japan: UMIN000017011, South Korea/Taiwan: NCT02951039) integrates data from multiple prospective, observational, noninterventional regional studies of AF patients receiving edoxaban for stroke prevention. This snapshot analysis summarises baseline characteristics and 2-year annualised rates of all-cause death, cardiovascular (CV) death, stroke (haemorrhagic, ischaemic, any), and bleeding (major bleeding [MB], major gastrointestinal [GI] bleeding, intracranial haemorrhage [ICH], clinically relevant nonmajor bleeding [CRNMB], and any bleeding) in patients with or without HF history. Univariate Cox regression models assessed clinical outcomes.
Results
Data from 27,333 patients (5258 with HF history) from Europe, Japan, South Korea, and Taiwan were analysed. Patients with HF history were significantly older and had lower mean body weight and creatinine clearance (P<0.0001 all; Table). Patients with HF history had significantly higher baseline stroke (CHA2DS2-VASc) and bleeding (HAS-BLED) risk scores (P<0.0001 both; Table). Significantly more patients with HF history reported previous experiences with MB (P=0.001) and major GI bleeding (P=0.007); these patients were also more likely to receive 30 mg edoxaban vs 60 mg edoxaban (P<0.0001; Table). Patients with HF history had significantly (P<0.0001 both) higher rates of all-cause (6.1% vs 2.5%; hazard ratio [HR] (95% confidence interval [CI]), 2.41 [2.17–2.68]) and CV death (2.8% vs 1.2%; HR [95% CI], 2.39 [2.05–2.80]), and fatal bleeding (0.3% vs 0.2%; HR [95% CI], 1.86 [1.20–2.89]; Figure). The proportion of all-cause deaths that were fatal bleeding events was 6% and 7% for patients with and without HF, respectively. Additionally, patients with HF history had significantly (P<0.0001 both) higher rates of MB (1.7% vs 0.9%; HR [95% CI], 1.87 [1.53–2.28]) and major GI bleeding (1.1% vs 0.4%; HR [95% CI], 2.69 [2.07–3.49]), with a greater proportion of MB events classified as major GI bleeding (64.5% vs 44.8%; P<0.0001). Patients with HF history also had significantly (P<0.0001 both) higher rates of CRNMB (HR [95% CI], 1.87 [1.58–2.21]) and any bleeding (HR [95% CI], 1.49 [1.34–1.65]). Rates of ICH and haemorrhagic stroke were similar in both groups.
Conclusions
In AF patients receiving edoxaban, the rates of MB, major GI bleeding, and CV or all-cause death were higher when comparing those with versus without HF history. The higher incidence of MB and major GI bleeding in patients with HF history did not lead to proportionally higher fatal bleeding rates among all-cause deaths.
Funding Acknowledgement
Type of funding sources: Private company. Main funding source(s): Daiichi Sankyo
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Russo V, Wang CC, Unverdorben M, Yamashita T, Pecen L, Borrow A, Chen C, Kirchhof P, De Caterina R. Two-year effectiveness and safety outcomes in 27,333 edoxaban-treated patients with and without a history of major bleeding from the Global ETNA-AF programme. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Atrial fibrillation patients with a history of major bleeding (MB) are at high risk of future bleeding events; this history was an exclusion criterion in pivotal phase 3 trials of anticoagulation for stroke prevention. Real-world edoxaban effectiveness and safety in patients with a history of MB were analysed from the global ETNA programme.
Purpose
To compare edoxaban effectiveness and safety in AF patients with or without an MB history.
Methods
The Global ETNA-AF programme (EU: NCT02944019, Japan: UMIN000017011, South Korea/Taiwan: NCT02951039) integrates data from multiple prospective, observational, noninterventional regional studies of AF patients treated with edoxaban for stroke prevention. This snapshot analysis summarises global baseline characteristics and 2-year annualised rates of all-cause death, cardiovascular death, stroke (haemorrhagic, ischaemic, any), and bleeding (including MB, major gastrointestinal bleeding [MGIB], intracranial haemorrhage [ICH], clinically relevant nonmajor bleeding, and any bleeding) in patients with or without MB history.
Results
Data from 27,333 patients (479 with MB history and 26,854 without) from Europe, Japan, South Korea, and Taiwan were analysed. Patients with MB history were significantly older (P<0.0001) and more likely to be ≥75 years of age (P=0.0003), to be male (P=0.024), and to have a lower body weight and creatinine clearance (P<0.0001 for both) (Table). Globally, antiplatelet use was significantly higher in patients with MB history compared with patients without (P=0.005). Patients with MB history were more likely to have previously diagnosed heart failure (HF, P=0.001) and to receive 30 mg vs 60 mg edoxaban at baseline (P<0.0001). Hazard ratios for effectiveness and safety outcomes are shown in the Figure. Patients with MB history had significantly higher annualised rates of all-cause death (5.7% vs 3.1%; P<0.0001), ischaemic stroke (1.8% vs 0.7%; P=0.002), and any stroke (3.1% vs 0.9%; P<0.0001) than patients without MB history. Patients with MB history also had significantly higher annualised rates of MB (3.6% vs 1.0%; P<0.0001), MGIB (1.5% vs 0.5%; P=0.001), ICH (1.5% vs 0.3%; P<0.0001), fatal bleeding (0.9% vs 0.2%; P<0.0001), and fatal ICH (0.5% vs 0.1%; P=0.0002). Among patients with MB history, the annualised rate of ICH did not differ between patients with ICH history (1.42%/yr) vs without (1.65%/yr); whereas the annualised rate of MGIB was significantly higher in patients with MGIB history vs without (4.14%/yr vs 1.08%/yr; P=0.0337).
Conclusions
Patients with AF receiving edoxaban and who have a history of MB are more likely elderly, male, and have comorbidities, including HF. These patients are also more susceptible to any adverse cardiovascular event. ICH event rates were not higher in patients with prior ICH than those with non-ICH major bleedings, whereas history of MGIB was associated with a high risk of MGIB recurrence.
Funding Acknowledgement
Type of funding sources: Private company. Main funding source(s): Daiichi Sankyo
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An X, Zang M, Xiong L, Ke H, Tao Y, Chen C, Li H. HX301, a potent CSF1R inhibitor, suppresses tumor associated M2 macrophage (TAM), enhancing tumor immunity and causing transit tumor inhibition in syngeneic EMT-6 tumors. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01126-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Zhang J, Lu J, Zheng Z, Lu J, Wang A, Wang J, Chen J, Rui H, Chen C, Chen G. Discovery of D3S-001, a highly potent and CNS-penetrant inhibitor of KRAS G12C with rapid and sustained target engagement kinetics. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)00998-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Day J, Munoz K, Brook R, McEvoy B, Tai L, DiTrapani K, Kleinman N, Chen C, Stahl M. P.209 Prevalence of healthcare conditions and services used by patients with myotonic dystrophy (DM) pre- and post-diagnosis: A real-world data analysis. Neuromuscul Disord 2022. [DOI: 10.1016/j.nmd.2022.07.371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Shen ZF, Chen C, Geng ZM, Mao XH, Li JD, Song TQ, Sun CD, Wu H, Cheng ZJ, Lin RX, He Y, Zhai WL, Tang D, Tang ZH, Liang X. [The analysis of long-term prognostic factors after laparoscopic liver resection for intrahepatic cholangiocarcinoma and establishment of survival Nomogram model]. ZHONGHUA WAI KE ZA ZHI [CHINESE JOURNAL OF SURGERY] 2022; 60:939-947. [PMID: 36207983 DOI: 10.3760/cma.j.cn112139-20220413-00163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To establish a survival prediction model based on the independent prognostic factors of long-term prognosis after laparoscopic liver resection(LLR) for intrahepatic cholangiocarcinoma(ICC). Methods: The clinical and pathological data of 351 consecutive patients with ICC who received radical LLR in 13 Chinese medical centers from August 2010 to May 2021 were collected retrospectively. There were 190 males and 161 females,aged(M(IQR)) 61(14)years(range:23 to 93 years). The total cohort was randomly divided into a training dataset(264 cases) and a validation dataset(87 cases). The patients were followed up by outpatient service or telephone,and the deadline for follow-up was October 2021. Based on the training dataset,the multivariate Cox proportional hazards regression model was used to screen the independent influencing factors of long-term prognosis to construct a Nomogram model. The Nomogram model's discrimination,calibration,and clinical benefit were evaluated through internal and external validation,and an assessment of the overall value of two groups was made through the use of a receiver operating characteristic(ROC) curve. Results: There was no significant difference in clinical and pathological characteristics and long-term survival results between the training and validation datasets(all P>0.05). The multivariate Cox analysis showed that CA19-9,CA125,conversion to laparotomy during laparoscopic surgery,and lymph node metastasis were independent prognostic factors for ICC patients after LLR(all P<0.05). The survival Nomogram was established based on the independent prognostic factors obtained from the above screening. The ROC curve showed that the area under the curve of 1, 3 and 5-year overall survival rates of patients in the training dataset were 0.794(95%CI:0.721 to 0.867),0.728(95%CI:0.618 to 0.839) and 0.799(95%CI:0.670 to 0.928),and those in the validation dataset were 0.787(95%CI:0.660 to 0.915),0.831(95%CI:0.678 to 0.983) and 0.810(95%CI:0.639 to 0.982). Internal and external validation proved that the model exhibited a certain discrimination,calibration,and clinical applicability. Conclusion: The survival Nomogram model based on the independent influencing factors of long-term prognosis after LLR for ICC(including CA19-9,CA125,conversion to laparotomy during laparoscopic surgery,and lymph node metastasis) exhibites a certain differentiation,calibration,and clinical practicability.
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Gyanwali B, Tan CS, Petr J, Escobosa LLT, Vrooman H, Chen C, Mutsaerts HJ, Hilal S. Arterial Spin-Labeling Parameters and Their Associations with Risk Factors, Cerebral Small-Vessel Disease, and Etiologic Subtypes of Cognitive Impairment and Dementia. AJNR Am J Neuroradiol 2022; 43:1418-1423. [PMID: 36562454 PMCID: PMC9575536 DOI: 10.3174/ajnr.a7630] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 07/01/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE Cerebral small-vessel disease may alter cerebral blood flow (CBF) leading to brain changes and, hence, cognitive impairment and dementia. CBF and the spatial coefficient of variation can be measured quantitatively by arterial spin-labeling. We aimed to investigate the associations of demographics, vascular risk factors, location, and severity of cerebral small-vessel disease as well as the etiologic subtypes of cognitive impairment and dementia with CBF and the spatial coefficient of variation. MATERIALS AND METHODS Three hundred ninety patients with a diagnosis of no cognitive impairment, cognitive impairment no dementia, vascular cognitive impairment no dementia, Alzheimer disease, and vascular dementia were recruited from the memory clinic. Cerebral microbleeds and lacunes were categorized into strictly lobar, strictly deep, and mixed-location and enlarged perivascular spaces into the centrum semiovale and basal ganglia. Total and region-specific white matter hyperintensity volumes were segmented using FreeSurfer. CBF (n = 333) and the spatial coefficient of variation (n = 390) were analyzed with ExploreASL from 2D-EPI pseudocontinuous arterial spin-labeling images in white matter (WM) and gray matter (GM). To analyze the effect of demographic and vascular risk factors as well as the location and severity of cerebral small-vessel disease markers on arterial spin-labeling parameters, we constructed linear regression models, whereas logistic regression models were used to determine the association between arterial spin-labeling parameters and cognitive impairment no dementia, vascular cognitive impairment no dementia, Alzheimer disease, and vascular dementia. RESULTS Increasing age, male sex, hypertension, hyperlipidemia, history of heart disease, and smoking were associated with lower CBF and a higher spatial coefficient of variation. Higher numbers of lacunes and cerebral microbleeds were associated with lower CBF and a higher spatial coefficient of variation. Location-specific analysis showed mixed-location lacunes and cerebral microbleeds were associated with lower CBF. Higher total, anterior, and posterior white matter hyperintensity volumes were associated with a higher spatial coefficient of variation. No association was observed between enlarged perivascular spaces and arterial spin-labeling parameters. A higher spatial coefficient of variation was associated with the diagnosis of vascular cognitive impairment no dementia, Alzheimer's disease, and vascular dementia. CONCLUSIONS Reduced CBF and an increased spatial coefficient of variation were associated with cerebral small-vessel disease, and more specifically lacunes, whereas cerebral microbleeds and white matter hyperintensities were associated with WM-CBF and GM spatial coefficient of variation. The spatial coefficient of variation was associated with cognitive impairment and dementia, suggesting that hypoperfusion might be the key underlying mechanism for vascular brain damage.
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Ablikim M, Achasov MN, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Choi SK, Chu X, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Jang E, Jeong JH, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schönning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi JY, Shi QQ, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian Y, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YQ, Wang Y, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu Z, Xia L, Xiang T, Xiao D, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu XP, Xu YC, Xu ZP, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HL, Yang HX, Yang L, Yang SL, Yang T, Yang YF, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Precise Measurements of Decay Parameters and CP Asymmetry with Entangled Λ-Λ[over ¯] Pairs. PHYSICAL REVIEW LETTERS 2022; 129:131801. [PMID: 36206435 DOI: 10.1103/physrevlett.129.131801] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 09/01/2022] [Indexed: 06/16/2023]
Abstract
Based on 10 billion J/ψ events collected at the BESIII experiment, a search for CP violation in Λ decay is performed in the difference between CP-odd decay parameters α_{-} for Λ→pπ^{-} and α_{+} for Λ[over ¯]→p[over ¯]π^{+} by using the process e^{+}e^{-}→J/ψ→ΛΛ[over ¯]. With a five-dimensional fit to the full angular distributions of the daughter baryon, the most precise values for the decay parameters are determined to be α_{-}=0.7519±0.0036±0.0024 and α_{+}=-0.7559±0.0036±0.0030, respectively. The Λ and Λ[over ¯] averaged value of the decay parameter is extracted to be α_{avg}=0.7542±0.0010±0.0024 with unprecedented accuracy. The CP asymmetry A_{CP}=(α_{-}+α_{+})/(α_{-}-α_{+}) is determined to be -0.0025±0.0046±0.0012, which is one of the most precise measurements in the baryon sector. The reported results for the decay parameter will play an important role in the studies of the polarizations and CP violations for the strange, charmed and beauty baryons.
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Gao B, Jiao TY, Li YT, Chen H, Lin WP, An Z, Ru LH, Zhang ZC, Tang XD, Wang XY, Zhang NT, Fang X, Xie DH, Fan YH, Ma L, Zhang X, Bai F, Wang P, Fan YX, Liu G, Huang HX, Wu Q, Zhu YB, Chai JL, Li JQ, Sun LT, Wang S, Cai JW, Li YZ, Su J, Zhang H, Li ZH, Li YJ, Li ET, Chen C, Shen YP, Lian G, Guo B, Li XY, Zhang LY, He JJ, Sheng YD, Chen YJ, Wang LH, Zhang L, Cao FQ, Nan W, Nan WK, Li GX, Song N, Cui BQ, Chen LH, Ma RG, Zhang ZC, Yan SQ, Liao JH, Wang YB, Zeng S, Nan D, Fan QW, Qi NC, Sun WL, Guo XY, Zhang P, Chen YH, Zhou Y, Zhou JF, He JR, Shang CS, Li MC, Kubono S, Liu WP, deBoer RJ, Wiescher M, Pignatari M. Deep Underground Laboratory Measurement of ^{13}C(α,n)^{16}O in the Gamow Windows of the s and i Processes. PHYSICAL REVIEW LETTERS 2022; 129:132701. [PMID: 36206440 DOI: 10.1103/physrevlett.129.132701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 04/01/2022] [Accepted: 06/01/2022] [Indexed: 06/16/2023]
Abstract
The ^{13}C(α,n)^{16}O reaction is the main neutron source for the slow-neutron-capture process in asymptotic giant branch stars and for the intermediate process. Direct measurements at astrophysical energies in above-ground laboratories are hindered by the extremely small cross sections and vast cosmic-ray-induced background. We performed the first consistent direct measurement in the range of E_{c.m.}=0.24 to 1.9 MeV using the accelerators at the China Jinping Underground Laboratory and Sichuan University. Our measurement covers almost the entire intermediate process Gamow window in which the large uncertainty of the previous experiments has been reduced from 60% down to 15%, eliminates the large systematic uncertainty in the extrapolation arising from the inconsistency of existing datasets, and provides a more reliable reaction rate for the studies of the slow-neutron-capture and intermediate processes along with the first direct determination of the alpha strength for the near-threshold state.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fritsch M, Fu CD, Gao H, Gao YN, Gao Y, Garzia I, Ge PT, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Plura S, Pogodin S, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao QT, Teng JX, Thoren V, Tian WH, Tian YT, Uman I, Wang B, Wang DY, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang YY, Wang Y, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu Z, Xia L, Xiang T, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu QJ, Xu SY, Xu XP, Xu YC, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HX, Yang L, Yang SL, Yang YX, Yang Y, Yang Z, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu TJ, Zhu WJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. First Observation of the Direct Production of the χ_{c1} in e^{+}e^{-} Annihilation. PHYSICAL REVIEW LETTERS 2022; 129:122001. [PMID: 36179210 DOI: 10.1103/physrevlett.129.122001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 06/22/2022] [Accepted: 07/26/2022] [Indexed: 06/16/2023]
Abstract
We study the direct production of the J^{PC}=1^{++} charmonium state χ_{c1}(1P) in electron-positron annihilation by carrying out an energy scan around the mass of the χ_{c1}(1P). The data were collected with the BESIII detector at the BEPCII collider. An interference pattern between the signal process e^{+}e^{-}→χ_{c1}(1P)→γJ/ψ→γμ^{+}μ^{-} and the background processes e^{+}e^{-}→γ_{ISR}J/ψ→γ_{ISR}μ^{+}μ^{-} and e^{+}e^{-}→γ_{ISR}μ^{+}μ^{-} is observed by combining all the data samples. The χ_{c1}(1P) signal is observed with a significance of 5.1σ. This is the first observation of a C-even state directly produced in e^{+}e^{-} annihilation. The electronic width of the χ_{c1}(1P) resonance is determined to be Γ_{ee}=(0.12_{-0.08}^{+0.13}) eV, which is of the same order of magnitude as theoretical calculations.
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Niu DD, Tang HL, Chen FF, Xiao TC, Chen C, Liu H, Lyu P. [Multi-state Markov model analysis of disease outcomes and influencing factors in HIV infected individuals receiving antiretroviral therapy in Luzhou of Sichuan province, 2010-2021]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2022; 43:1394-1400. [PMID: 36117345 DOI: 10.3760/cma.j.cn112338-20220401-00251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To construct a multi-state Markov model and analyze the disease outcomes and its influencing factors in HIV infected individuals receiving antiretroviral therapy. Methods: A retrospective cohort analysis was conducted in HIV infected individuals receiving antiretroviral therapy in Luzhou of Sichuan province from 2010 to 2021. The disease status was divided into CD4+T lymphocytes (CD4) counts >500 cells/μl, 350-500 cells/μl, 200-349 cells/μl, ≤199 cells/μl and death indicated by S1-S5 in turn. A reversible continuous-time discrete-state multi-state Markov model was constructed for the analysis of disease progression features. Results: A total of 7 542 HIV infected individuals receiving antiretroviral therapy were included, and the median age (Q1, Q3) was 53.4 (41.2, 64.5) years old. The transition intensity of S3→S2 was higher. During follow-up, the transition probability of S4→S5 increased gradually. Influencing factors analysis of disease outcomes in HIV infected individuals receiving antiretroviral therapy showed that compared with individuals 15-24 years old, the transition intensities of S2→S1, S3→S2 and S4→S3 were lower and the transition intensity of S3→S4 was higher in individuals ≥45 years old. Compared with single individuals, the transition intensities of S3→S2 and S4→S3 were higher and the transition intensities of S3→S4 and S4→S5 were lower in married individuals. The transition intensity of S1→S2 was higher in individuals with baseline CD4 counts ≤500 cells/μl than in individuals with baseline CD4 counts >500 cells/μl. The transition intensity of S3→S4 in individuals diagnosed during 2011-2015 was lower than that in individuals diagnosed in 2010 and before. Conclusions: HIV infected individuals receiving antiretroviral therapy tended to shift to the previous disease status, suggesting that antiretroviral therapy was conducive to immune reconstitution. Older age (≥45 years old), being married, low baseline CD4 counts and being diagnosed in 2010 and before were the risk factors for disease progression.
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Ablikim M, Achasov MN, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Chu X, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Qu SQ, Rashid KH, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi JY, Shi QQ, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian Y, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YQ, Wang Y, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YJ, Wu Z, Xia L, Xiang T, Xiao D, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu XP, Xu YC, Xu ZP, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HL, Yang HX, Yang L, Yang SL, Yang T, Yang YF, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Evidence for a Neutral Near-Threshold Structure in the K_{S}^{0} Recoil-Mass Spectra in e^{+}e^{-}→K_{S}^{0}D_{s}^{+}D^{*-} and e^{+}e^{-}→K_{S}^{0}D_{s}^{*+}D^{-}. PHYSICAL REVIEW LETTERS 2022; 129:112003. [PMID: 36154413 DOI: 10.1103/physrevlett.129.112003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/17/2022] [Accepted: 06/30/2022] [Indexed: 06/16/2023]
Abstract
We study the processes e^{+}e^{-}→K_{S}^{0}D_{s}^{+}D^{*-} and e^{+}e^{-}→K_{S}^{0}D_{s}^{*+}D^{-}, as well as their charge conjugated processes, at five center-of-mass energies between 4.628 and 4.699 GeV, using data samples corresponding to an integrated luminosity of 3.8 fb^{-1} collected by the BESIII detector at the BEPCII storage ring. Based on a partial reconstruction technique, we find evidence of a structure near the thresholds for D_{s}^{+}D^{*-} and D_{s}^{*+}D^{-} production in the K_{S}^{0} recoil-mass spectrum, which we refer to as the Z_{cs}(3985)^{0}. Fitting with a Breit-Wigner line shape, we find the mass of the structure to be (3992.2±1.7±1.6) MeV/c^{2} and the width to be (7.7_{-3.8}^{+4.1}±4.3) MeV, where the first uncertainties are statistical and the second are systematic. The significance of the Z_{cs}(3985)^{0} signal is found to be 4.6σ including both the statistical and systematic uncertainty. We report the Born cross section multiplied by the branching fraction at different energy points. The mass of the Z_{cs}(3985)^{0} is close to that of the Z_{cs}(3985)^{+}. Assuming SU(3) symmetry, the cross section of the neutral channel is consistent with that of the charged one. Hence, we conclude that the Z_{cs}(3985)^{0} is the isospin partner of the Z_{cs}(3985)^{+}.
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Tan LT, Li Q, Ni YH, Chen C. [ Outcomes of surgical management of typeⅢ laryngotracheal clefts: anterior laryngofissure approach and posterior cartilage graft laryngotracheoplasty]. ZHONGHUA ER BI YAN HOU TOU JING WAI KE ZA ZHI = CHINESE JOURNAL OF OTORHINOLARYNGOLOGY HEAD AND NECK SURGERY 2022; 57:1110-1115. [PMID: 36177566 DOI: 10.3760/cma.j.cn115330-20211228-00827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: Our aim of this study is to describe the outcomes of a series of patients who underwent cleft repair and posterior cartilage grafts laryngotracheoplasty (LTP) from anterior midline cervical approach for type Ⅲ laryngotracheoesophageal clefts (LETC). Methods: A review of patients with type Ⅲ LETC between May 2017 and December 2021 was performed. Demographic features including gender, age at surgery, weight, airway support, feeding status, and airway and other comorbidities were collected preoperatively. Patients were evaluated in breathing, swallowing and phonation postoperatively. The developmental status and morbidities were recorded. Results: Five patients who underwent cleft repair and posterior cartilage grafts LTP from anterior midline cervical approach were included. All patients survived and thrived postoperatively. At last follow-up, 3 patients were able to successfully extubate with acceptable voice, and 2 patients were tracheostomied. Four patients were able to be fed orally without aspiration, and one patient needed to be fed by thick food. Conclusion: The combination of cleft repair and posterior cartilage grafts LTP from anterior midline cervical approach is an effective and safe treatment for type Ⅲ LETC.
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Ablikim M, Achasov MN, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fu CD, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao LY, Tao QT, Teng JX, Thoren V, Tian WH, Tian Y, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang YD, Wang YF, Wang YH, Wang YQ, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YJ, Wu Z, Xia L, Xiang T, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu XP, Xu YC, Xu ZP, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HL, Yang HX, Yang L, Yang SL, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Observation of Resonance Structures in e^{+}e^{-}→π^{+}π^{-}ψ_{2}(3823) and Mass Measurement of ψ_{2}(3823). PHYSICAL REVIEW LETTERS 2022; 129:102003. [PMID: 36112441 DOI: 10.1103/physrevlett.129.102003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/21/2022] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
Using a data sample corresponding to an integrated luminosity of 11.3 fb^{-1} collected at center-of-mass energies from 4.23 to 4.70 GeV with the BESIII detector, we measure the product of the e^{+}e^{-}→π^{+}π^{-}ψ_{2}(3823) cross section and the branching fraction B[ψ_{2}(3823)→γχ_{c1}]. For the first time, resonance structure is observed in the cross section line shape of e^{+}e^{-}→π^{+}π^{-}ψ_{2}(3823) with significances exceeding 5σ. A fit to data with two coherent Breit-Wigner resonances modeling the sqrt[s]-dependent cross section yields M(R_{1})=4406.9±17.2±4.5 MeV/c^{2}, Γ(R_{1})=128.1±37.2±2.3 MeV, and M(R_{2})=4647.9±8.6±0.8 MeV/c^{2}, Γ(R_{2})=33.1±18.6±4.1 MeV. Though weakly disfavored by the data, a single resonance with M(R)=4417.5±26.2±3.5 MeV/c^{2}, Γ(R)=245±48±13 MeV is also possible to interpret data. This observation deepens our understanding of the nature of the vector charmoniumlike states. The mass of the ψ_{2}(3823) state is measured as (3823.12±0.43±0.13) MeV/c^{2}, which is the most precise measurement to date.
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Yao T, Chen C, Fenglei Y, Wenliang L, Guangjun L, Xiaojie H. 934P Clinical and genomic characteristics of non-small cell lung cancer in young patients under 40 years old. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Chen C, Ho J. EP16.04-006 A Novel Orthotopic Xenograft Mouse Model to Study Lung Cancer-Associated Fibroblasts and Lymphangiogenesis. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.1114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Mo J, Bohne AS, Gaudy Marqueste C, Della Marta N, Festino L, Chen C, Lo S, Park J, Ascierto P, Ladwa R, Xu W, Grob J, Hauschild A, Menzies A, Long G, Carlino M, Pires da Silva I. 838P Patterns of response/progressive disease (PD) and management following PD with anti-PD-1 (PD1) in patients (pts) with advanced cutaneous squamous cell carcinoma (cSCC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Dai L, Chen KN, Y. Wu, Ma J, Guo S, Tian H, Xiao G, Liu W, He M, Chen C, Shi X, Wang Z, Liu J, Guo W, Cui Y, Dai T, Fu X, Jiao W. 1243P Influence of home nutritional therapy on body weight in patients with esophageal cancer after surgery: A prospective observational study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Lu S, Zhang Y, Zhang G, Zhou J, Cang S, Cheng Y, Wu G, Cao P, Lv D, Jian H, Chen C, Jin X, Tian P, Wang K, Jiang G, Chen G, Chen Q, Zhao H, Ding C, Guo R, Sun G, Wang B, Jiang L, Liu Z, Fang J, Yang J, Zhuang W, Liu Y, Zhang J, Pan Y, Chen J, Yu Q, Zhao M, Cui J, Li D, Yi T, Yu Z, Yang Y, Zhang Y, Zhi X, Huang Y, Wu R, Chen L, Zang A, Cao L, Li Q, Li X, Song Y, Wang D, Zhang S. EP08.02-139 A Phase 2 Study of Befotertinib in Patients with EGFR T790M Mutated NSCLC after Prior EGFR TKIs. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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