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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Amoroso A, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, 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 DY, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng WS, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RB, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao XL, Gao Y, Gao Y, Gao YG, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guo YP, Guskov A, Han S, Han TT, Han TZ, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Huang Z, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HB, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin S, Jin Y, 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, Lavezzi L, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li HB, Li HJ, Li JL, Li JQ, Li K, Li LK, Li L, Li PL, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao LZ, Libby J, Lin CX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu Q, Liu SB, Liu S, Liu T, Liu X, Liu YB, Liu ZA, Liu ZQ, Long YF, Lou XC, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Mo YJ, 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, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Shan DC, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song QQ, Song WM, Song YX, Sosio S, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidenkaff P, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao YJ, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xiong XA, Xu GF, Xu JJ, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, 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 W, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang G, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang L, Zhang L, Zhang S, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, 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 Y, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu ZA, Zou BS, Zou JH. Measurements of Absolute Branching Fractions of Fourteen Exclusive Hadronic D Decays to η. PHYSICAL REVIEW LETTERS 2020; 124:241803. [PMID: 32639841 DOI: 10.1103/physrevlett.124.241803] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 06/01/2020] [Indexed: 06/11/2023]
Abstract
Using 2.93 fb^{-1} of e^{+}e^{-} collision data taken at a center-of-mass energy of 3.773 GeV with the BESIII detector, we report the first measurements of the absolute branching fractions of 14 hadronic D^{0(+)} decays to exclusive final states with an η, e.g., D^{0}→K^{-}π^{+}η, K_{S}^{0}π^{0}η, K^{+}K^{-}η, K_{S}^{0}K_{S}^{0}η, K^{-}π^{+}π^{0}η, K_{S}^{0}π^{+}π^{-}η, K_{S}^{0}π^{0}π^{0}η, and π^{+}π^{-}π^{0}η; D^{+}→K_{S}^{0}π^{+}η, K_{S}^{0}K^{+}η, K^{-}π^{+}π^{+}η, K_{S}^{0}π^{+}π^{0}η, π^{+}π^{+}π^{-}η, and π^{+}π^{0}π^{0}η. Among these decays, the D^{0}→K^{-}π^{+}η and D^{+}→K_{S}^{0}π^{+}η decays have the largest branching fractions, which are B(D^{0}→K^{-}π^{+}η)=(1.853±0.025_{stat}±0.031_{syst})% and B(D^{+}→K_{S}^{0}π^{+}η)=(1.309±0.037_{stat}±0.031_{syst})%, respectively. The charge-parity asymmetries for the six decays with highest event yields are determined, and no statistically significant charge-parity violation is found.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Ambrose D, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen J, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, 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 M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu T, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Determination of Strong-Phase Parameters in D→K_{S,L}^{0}π^{+}π^{-}. PHYSICAL REVIEW LETTERS 2020; 124:241802. [PMID: 32639796 DOI: 10.1103/physrevlett.124.241802] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/20/2020] [Accepted: 05/21/2020] [Indexed: 06/11/2023]
Abstract
We report the most precise measurements to date of the strong-phase parameters between D^{0} and D[over ¯]^{0} decays to K_{S,L}^{0}π^{+}π^{-} using a sample of 2.93 fb^{-1} of e^{+}e^{-} annihilation data collected at a center-of-mass energy of 3.773 GeV with the BESIII detector at the BEPCII collider. Our results provide the key inputs for a binned model-independent determination of the Cabibbo-Kobayashi-Maskawa angle γ/ϕ_{3} with B decays. Using our results, the decay model sensitivity to the γ/ϕ_{3} measurement is expected to be between 0.7° and 1.2°, approximately a factor of three smaller than that achievable with previous measurements, based on the studies of the simulated data. The improved precision of this work ensures that measurements of γ/ϕ_{3} will not be limited by knowledge of strong phases for the next decade. Furthermore, our results provide critical input for other flavor-physics investigations, including charm mixing, other measurements of CP violation, and the measurement of strong-phase parameters for other D-decay modes.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Amoroso A, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, 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 DY, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng WS, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RB, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao XL, Gao Y, Gao Y, Gao YG, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guo YP, Guskov A, Han S, Han TT, Han TZ, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Huang Z, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HB, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin S, Jin Y, 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, Lavezzi L, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li HB, Li HJ, Li JL, Li JQ, Li K, Li LK, Li L, Li PL, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao LZ, Libby J, Lin CX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu Q, Liu SB, Liu S, Liu T, Liu X, Liu YB, Liu ZA, Liu ZQ, Long YF, Lou XC, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Mo YJ, 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, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Shan DC, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song QQ, Song WM, Song YX, Sosio S, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidenkaff P, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao YJ, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xiong XA, Xu GF, Xu JJ, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, 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 W, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang G, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang L, Zhang L, Zhang S, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, 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 Y, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu ZA, Zou BS, Zou JH. First Observation of D^{+}→ημ^{+}ν_{μ} and Measurement of Its Decay Dynamics. PHYSICAL REVIEW LETTERS 2020. [PMID: 32603168 DOI: 10.1016/j.enpol.2020.111655] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
By analyzing a data sample corresponding to an integrated luminosity of 2.93 fb^{-1} collected at a center-of-mass energy of 3.773 GeV with the BESIII detector, we measure for the first time the absolute branching fraction of the D^{+}→ημ^{+}ν_{μ} decay to be B_{D^{+}→ημ^{+}ν_{μ}}=(10.4±1.0_{stat}±0.5_{syst})×10^{-4}. Using the world averaged value of B_{D^{+}→ηe^{+}ν_{e}}, the ratio of the two branching fractions is determined to be B_{D^{+}→ημ^{+}ν_{μ}}/B_{D^{+}→ηe^{+}ν_{e}}=0.91±0.13_{(stat+syst)}, which agrees with the theoretical expectation of lepton flavor universality within uncertainty. By studying the differential decay rates in five four-momentum transfer intervals, we obtain the product of the hadronic form factor f_{+}^{η}(0) and the c→d Cabibbo-Kobayashi-Maskawa matrix element |V_{cd}| to be f_{+}^{η}(0)|V_{cd}|=0.087±0.008_{stat}±0.002_{syst}. Taking the input of |V_{cd}| from the global fit in the standard model, we determine f_{+}^{η}(0)=0.39±0.04_{stat}±0.01_{syst}. On the other hand, using the value of f_{+}^{η}(0) calculated in theory, we find |V_{cd}|=0.242±0.022_{stat}±0.006_{syst}±0.033_{theory}.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Amoroso A, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, 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 DY, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng WS, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RB, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao XL, Gao Y, Gao Y, Gao YG, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guo YP, Guskov A, Han S, Han TT, Han TZ, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Huang Z, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HB, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin S, Jin Y, 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, Lavezzi L, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li HB, Li HJ, Li JL, Li JQ, Li K, Li LK, Li L, Li PL, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao LZ, Libby J, Lin CX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu Q, Liu SB, Liu S, Liu T, Liu X, Liu YB, Liu ZA, Liu ZQ, Long YF, Lou XC, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Mo YJ, 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, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Shan DC, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song QQ, Song WM, Song YX, Sosio S, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidenkaff P, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao YJ, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xiong XA, Xu GF, Xu JJ, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, 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 W, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang G, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang L, Zhang L, Zhang S, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, 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 Y, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu ZA, Zou BS, Zou JH. First Observation of D^{+}→ημ^{+}ν_{μ} and Measurement of Its Decay Dynamics. PHYSICAL REVIEW LETTERS 2020; 124:231801. [PMID: 32603168 DOI: 10.1103/physrevlett.124.231801] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 05/22/2020] [Indexed: 06/11/2023]
Abstract
By analyzing a data sample corresponding to an integrated luminosity of 2.93 fb^{-1} collected at a center-of-mass energy of 3.773 GeV with the BESIII detector, we measure for the first time the absolute branching fraction of the D^{+}→ημ^{+}ν_{μ} decay to be B_{D^{+}→ημ^{+}ν_{μ}}=(10.4±1.0_{stat}±0.5_{syst})×10^{-4}. Using the world averaged value of B_{D^{+}→ηe^{+}ν_{e}}, the ratio of the two branching fractions is determined to be B_{D^{+}→ημ^{+}ν_{μ}}/B_{D^{+}→ηe^{+}ν_{e}}=0.91±0.13_{(stat+syst)}, which agrees with the theoretical expectation of lepton flavor universality within uncertainty. By studying the differential decay rates in five four-momentum transfer intervals, we obtain the product of the hadronic form factor f_{+}^{η}(0) and the c→d Cabibbo-Kobayashi-Maskawa matrix element |V_{cd}| to be f_{+}^{η}(0)|V_{cd}|=0.087±0.008_{stat}±0.002_{syst}. Taking the input of |V_{cd}| from the global fit in the standard model, we determine f_{+}^{η}(0)=0.39±0.04_{stat}±0.01_{syst}. On the other hand, using the value of f_{+}^{η}(0) calculated in theory, we find |V_{cd}|=0.242±0.022_{stat}±0.006_{syst}±0.033_{theory}.
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Chen Y, Yuan Y, Cai C, Li F, Zhou X. Effects of assist parameter on the performance of proportional assist ventilation in a lung model of chronic obstructive pulmonary disease. Respir Med Res 2020; 78:100766. [PMID: 32492629 DOI: 10.1016/j.resmer.2020.100766] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 03/24/2020] [Accepted: 05/03/2020] [Indexed: 12/01/2022]
Abstract
BACKGROUND How the assist parameters affect synchronization and inspiratory workload in proportional assist ventilation (PAV) remains unknown. PURPOSE This bench study aimed to optimize the PAV parameters by evaluating their effects on patient-ventilator synchrony and work of breathing (WOB) in a chronic obstructive pulmonary disease (COPD) model during noninvasive ventilation, compared with the pressure support ventilation (PSV) mode. METHODS The Respironics V60 ventilator was connected to an ASL5000 lung simulator, which simulates lung mechanics in COPD (compliance, 50mL/cmH2O; expiratory resistance, 20 cmH2O/L/s; respiratory rate, 15 breaths/min; inspiratory time, 1.6 s). PAV was applied with different assistance levels, including flow assist (FA, 40-90% respiratory resistance) and volume assist (VA, 50-90% elastance). PSV was assessed using the same model. Measurements were obtained at a leak flow rate of 25-28 L/min. Performance characteristics, simulator-ventilator synchrony, and WOB were assessed. RESULTS Runaway was prone to occur, and severe premature cycling was observed with VA75+FA level>65%. Compared with PSV, lower tidal volume (≤400mL) was observed during PAV with VA75+FA40-50 and FA50+VA40-80; similar and improved cycling synchrony was observed for FA50+VA80 and FA50+VA90 (cycling delay: -117.60±6.13 and -61.50±8.03 vs. -101.20±7.32ms). The reduced triggering workload was observed for VA75+FA60-65 and FA50+VA80-90. Total and patient WOB was improved with all tested assist level combinations, except for FA50+VA90. CONCLUSIONS PAV reduces WOB but can induce asynchrony if improper settings are set, but the most optimal settings still need more clinical observations.
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Jiang WX, Chen LP, Li H, Guo ZB, Yuan Y, Zhou B, Lu WQ, Yang L, Wu BB, Zhou ML. [Application of mass spectrometry combined with next generation sequencing in the diagnosis of neonatal inherited metabolic diseases]. ZHONGHUA YI XUE ZA ZHI 2020; 100:1640-1647. [PMID: 32486599 DOI: 10.3760/cma.j.cn112137-20191211-02701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the application value of mass spectrometry (MS) combined with next generation sequencing (NGS) in diagnosing neonatal inherited metabolic diseases (IMD). Methods: The clinical information, metabolites in blood and urine, and gene sequencing results of 19 neonates with IMD coming from the Department of Neonatology of Jiangxi Provincial Children's Hospital from March 2017 to September 2019 were analyzed retrospectively. The metabolites in blood were detected by liquid chromatography tandem mass spectrometry and urine were detected by gas chromatography-mass spectrometry respectively.Meanwhile, the whole bloods were dectected by neonatal genetic disease panel based on NGS. Results: Twelve neonates had the same results between MS and NGS among the 19, 2 had different results from MS to NGS, and 4 had no disease indication by MS but were diagnosed by NGS whose clinical phenotype were partially consistent with NGS results. One of them who did not carry out MS was considered as the diagnosis of IMD because of the detection of gene, and was followed up on this basis. Conclusion: MS could diagnose IMD relatively quickly to guide clinical treatment, and while NGS could verify the results of MS detection. Combination of MS and NGS would understand the cause of disease on genetic level, so as to guide further treatment and genetic consultation.
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207
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Kang LL, Liu YP, Shen M, Chen ZH, Song JQ, He RX, Liu Y, Zhang Y, Dong H, Li MQ, Jin Y, Zheng H, Wang Q, Ding Y, Li XY, Li DX, Li HX, Liu XQ, Xiao HJ, Jiang YW, Xiong H, Zhang CY, Wang ZX, Yuan Y, Liang DS, Tian YP, Yang YL. [The phenotypes and genotypes in 314 patients with isolated methylmalonic acidemia]. ZHONGHUA ER KE ZA ZHI = CHINESE JOURNAL OF PEDIATRICS 2020; 58:468-475. [PMID: 32521958 DOI: 10.3760/cma.j.cn112140-20200401-00339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objectives: To summarize the clinical and genetic characteristics of the patients with isolated methylmalonic acidemia and investigate the strategies for the diagnosis, treatment and prevention. Methods: Three hundred and fourteen patients (180 males, 134 females) with isolated methylmalonic acidemia were ascertained from 26 provinces or cities across the mainland of China during January 1998 to March 2020. Genetic analysis was performed by Sanger sequencing, gene panel sequencing, whole exome sequencing, multiplex ligation-dependent probe amplification or quantitative PCR. According to the age of onset, the patients were divided to early-onset group (≤12 months of age) and the late-onset group (>12 months of age). They were treated by cobalamin, L-carnitine and (or) special diet and symptomatic treatment. Statistical analysis was done using Chi-square test. Results: Fifty-eight of 314 (18.5%) patients were detected by Newborn screening using liquid chromatography tandem mass spectrometry. Five cases (1.6%) had a postmortem diagnosis. Two hundred and fifty-one patients (79.9%) were clinically diagnosed with an age of onset ranged from 3 hours after birth to 18 years. One hundred and fifty-nine patients (71.0%) belonged to early-onset groups, 65 patients (29.0%) belonged to the late-onset group. The most common symptoms were metabolic crises, psychomotor retardation, epilepsy, anemia and multiple organ damage. Metabolic acidosis and anemia were more common in early-onset patients than that in late-onset patients (20.8%(33/159) vs. 9.2% (6/65), 34.6% (55/159) vs. 16.9% (11/165), χ(2)=4.261, 6.930, P=0.039, 0.008). Genetic tests were performed for 236 patients (75.2%), 96.2%(227/236) had molecular confirmation. One hundred and twenty-seven variants were identified in seven genes (MMUT, MMAA, MMAB, MMADHC, SUCLG1, SUCLA2, and MCEE), of which 49 were novel. The mut type, caused by the deficiency of methylmalonyl-CoA mutase, was the most common (n=211, 93%) cause of this condition. c.729_730insTT, c.1106G>A and c.914T>C were the three most frequent mutations in MMUT gene. The frequency of c.914T>C in early-onset patients was significantly higher than that in late-onset patients (8.3% (18/216) vs. 1.6% (1/64), χ(2)=3.859, P=0.037). Metabolic crisis was more frequent in mut type than the other types (72.6% (114/157) vs. 3/13, χ(2)=13.729, P=0.001),developmental delay and hypotonia were less frequent in mut type (38.2% (60/157) vs. 9/13, 25.5% (40/157) vs. 8/13, χ(2)=4.789, 7.705, P=0.030, 0.006). Of the 58 patients identified by newborn screening, 44 patients (75.9%) who were treated from asymptomatic phase developed normally whereas 14 patients (24.1%) who received treatment after developing symptoms exhibited varying degrees of psychomotor retardation. Conclusions: The characteristics of phenotypes and genotypes among Chinese patients with isolated methylmalonic acidemia were analyzed. Expanded the mutation spectrum of the associated genes. Because of the complex clinical manifestations and severe early onset of isolated methylmalonic acidemia, Newborn screening is crucial for early diagnosis and improvement of prognosis. MMUT gene is recommended for carrier screening as an effort to move the test earlier as a part of the primary prevention of birth defects.
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Guan Q, Liu M, Zhuang YJ, Yuan Y, Wang SS, Li J, Chen Z, Yang XL, Tang ZR, Jia HJ, Ma JY, Wang XX, Tai PG, Li J, He Y. [Epidemiological investigation of a family clustering of COVID-19]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2020; 41:629-633. [PMID: 32149484 DOI: 10.3760/cma.j.cn112338-20200223-00152] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the epidemiological characteristics of a family clustering of COVID-19. Methods: Field epidemiological survey was conducted. Results: Case 1 of the long-term residents from Hubei province was the source of infection of this family clustering. There were 6 cases (from case 2 to case 7) infected in the whole incubation period. The incubation period was more than 14 days for 3 of the second-generation cases. Routes of transmission included respiratory droplets (from case 1 transmitted to case 6, from case 1 to her family members) and close contact (from case 1 to other cases in her family). All the age groups were generally susceptible, while elderly were easier to progress to critically ill. Besides respiratory symptoms, there were also gastrointestinal symptoms, of which diarrhea was the most common one. Conclusions: Family clustering had been an important part for COVID-19 cases.
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Wang H, Xia Q, Xiong Z, Li Z, Xiang W, Yuan Y, Liu Y, Li Z. The psychological distress and coping styles in the early stages of the 2019 coronavirus disease (COVID-19) epidemic in the general mainland Chinese population: A web-based survey. PLoS One 2020; 15:e0233410. [PMID: 32407409 PMCID: PMC7224553 DOI: 10.1371/journal.pone.0233410] [Citation(s) in RCA: 160] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 05/05/2020] [Indexed: 02/05/2023] Open
Abstract
As the epidemic outbreak of 2019 coronavirus disease (COVID-19), general population may experience psychological distress. Evidence has suggested that negative coping styles may be related to subsequent mental illness. Therefore, we investigate the general population's psychological distress and coping styles in the early stages of the COVID-19 outbreak. A cross-sectional battery of surveys was conducted from February 1-4, 2020. The Kessler 6 psychological distress scale, the simplified coping style questionnaire and a general information questionnaire were administered on-line to a convenience sample of 1599 in China. A multiple linear regression analysis was performed to identify the influence factors of psychological distress. General population's psychological distress were significant differences based on age, marriage, epidemic contact characteristics, concern with media reports, and perceived impacts of the epidemic outbreak (all p <0.001) except gender (p = 0.316). The population with younger age (F = 102.04), unmarried (t = 15.28), with history of visiting Wuhan in the past month (t = -40.86), with history of epidemics occurring in the community (t = -10.25), more concern with media reports (F = 21.84), perceived more impacts of the epidemic outbreak (changes over living situations, F = 331.71; emotional control, F = 1863.07; epidemic-related dreams, F = 1642.78) and negative coping style (t = 37.41) had higher level of psychological distress. Multivariate analysis found that marriage, epidemic contact characteristics, perceived impacts of the epidemic and coping style were the influence factors of psychological distress (all p <0.001). Epidemic of COVID-19 caused high level of psychological distress. The general mainland Chinese population with unmarried, history of visiting Wuhan in the past month, perceived more impacts of the epidemic and negative coping style had higher level of psychological distress in the early stages of COVID-19 epidemic. Psychological interventions should be implemented early, especially for those general population with such characteristics.
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Ablikim M, Achasov M, Adlarson P, Ahmed S, Albrecht M, Amoroso A, An Q, Anita, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Bennett J, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Bortone A, Boyko I, Briere R, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen D, Chen G, Chen H, Chen M, Chen S, Chen X, Chen Y, Cheng W, Cibinetto G, Cossio F, Cui X, Dai H, Dai J, Dai X, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong L, Dong M, Du S, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Fritsch M, Fu C, Fu Y, Gao X, Gao Y, Gao Y, Gao Y, Garzia I, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu S, Gu Y, Guan C, Guo A, Guo L, Guo R, Guo Y, Guo Y, Guskov A, Han S, Han T, Han T, Hao X, Harris F, He K, Heinsius F, Held T, Heng Y, Himmelreich M, Holtmann T, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang L, Huang X, Huang Z, Huesken N, Hussain T, Andersson WI, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Jiang H, Jiang X, Jiang X, Jiao J, Jiao Z, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Kavatsyuk M, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kühn W, Lane J, Lange J, Larin P, Lavezzi L, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li J, Li J, Li K, Li L, Li L, Li P, Li P, Li S, Li W, Li W, Li X, Li X, Li Z, Li Z, Liang H, Liang H, Liang Y, Liang Y, Liao L, Libby J, Lin C, Liu B, Liu B, Liu C, Liu D, Liu D, Liu F, Liu F, Liu F, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu K, Liu K, Liu K, Liu L, Liu Q, Liu S, Liu S, Liu T, Liu X, Liu Y, Liu Z, Liu Z, Long Y, Lou X, Lu H, Lu J, Lu J, Lu X, Lu Y, Lu Y, Luo C, Luo M, Luo P, Luo T, Luo X, Lusso S, Lyu X, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, Ma X, Ma X, Ma X, Ma Y, Maas F, Maggiora M, Maldaner S, Malde S, Malik Q, Mangoni A, Mao Y, Mao Z, Marcello S, Meng Z, Messchendorp J, Mezzadri G, Min T, Mitchell R, Mo X, Mo Y, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Olsen S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng H, Peters K, Pettersson J, Ping J, Ping R, Pitka A, Poling R, Prasad V, Qi H, Qi H, Qi M, Qi T, Qian S, Qian WB, Qian Z, Qiao C, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Rashid K, Ravindran K, Redmer C, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schnier C, Schoenning K, Shan D, Shan W, Shan X, Shao M, Shen C, Shen P, Shen X, Shi H, Shi R, Shi X, Shi X, Song J, Song Q, Song W, Song Y, Sosio S, Spataro S, Sui F, Sun G, Sun J, Sun L, Sun S, Sun T, Sun W, Sun Y, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Thoren V, Tsednee B, Uman I, Wang B, Wang B, Wang C, Wang D, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Weber T, Wei D, Weidenkaff P, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu Z, Xia L, Xiao H, Xiao S, Xiao Y, Xiao Z, Xie X, Xie Y, Xie Y, Xing T, Xiong X, Xu G, Xu J, Xu Q, Xu W, Xu X, Yan L, Yan L, Yan W, Yan W, Yan X, Yang H, Yang H, Yang L, Yang R, Yang S, Yang Y, Yang Y, Yang Y, Yang Z, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan W, Yuan X, Yuan Y, Yuan Z, Yue C, Yuncu A, Zafar A, Zeng Y, Zhang B, Zhang G, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang S, Zhang S, Zhang T, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao G, Zhao J, Zhao J, Zhao J, Zhao L, Zhao L, Zhao M, Zhao Q, Zhao S, Zhao Y, Zhao YZ, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zheng Y, Zhong B, Zhong C, Zhou L, Zhou Q, Zhou X, Zhou X, Zhou X, Zhu A, Zhu J, Zhu K, Zhu K, Zhu S, Zhu W, Zhu X, Zhu Y, Zhu Z, Zou B, Zou J. First measurements of
χcJ→Σ−Σ¯+(J=0,1,2)
decays. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.101.092002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Zhang WX, Yuan Y, Tan YZ, Song AH, Shan XW, Yang J. [Endemic situation of schistosomiasis in surveillance sites of Tianmen City from 2015 to 2018]. ZHONGGUO XUE XI CHONG BING FANG ZHI ZA ZHI = CHINESE JOURNAL OF SCHISTOSOMIASIS CONTROL 2020; 32:97-99. [PMID: 32185937 DOI: 10.16250/j.32.1374.2019083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To monitor the change patterns of the endemic situation of schistosomiasis in Tianmen City from 2015 to 2018, so as to provide the evidence for formulating the schistosomiasis control strategy in the city. METHODS A total of 8 schistosomiasis surveillance sites were assigned in Tianmen City from 2015 to 2018, and the endemic situation of schistosomiasis and the related epidemiological factors were monitored. RESULTS During the period from 2015 to 2018, a total of 15 983 local person-times and 3 629 mobile populations were detected for schistosomiasis using an indirect hemagglutination test (IHA) in Tianmen City, and the sero-prevalence was 0.88% to 1.44% and 0.96% to 2.39%, respectively; however, no egg-positives were identified. A total of 1 245 herd-times were detected, and no egg-positives were found in bovines. In addition, the areas of snail habitats were 116.69 to 117.23 hm2 and the mean densities of living snails were 0.07 to 0.17 snails/0.1 m2 during the study period; however, no infections were identified in snails. CONCLUSIONS The endemic situation of schistosomiasis appears low in Tianmen City; however, the factors related to schistosomiasis transmission remain in the city. The integrated strategy with emphasis on the control of infectious sources should be still intensified to consolidate the schistosomiasis control achievements.
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Yin Y, Yuan Y. The Dopaminergic Polymorphisms in Psychomotor Retardation of Depression: A Pathway-based Imaging Genetics Association Study. Eur Psychiatry 2020. [DOI: 10.1016/j.eurpsy.2017.01.1989] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
IntroductionSeveral lines of evidence implicate dopamine is involved in the psychomotor retardation (PMR) in major depressive disorder (MDD). Besides, abnormal cerebral blood flow (CBF) of PMR was also found in the cortico-basal ganglia-thalamo-cortical (CBTC) circuitry. We hypothesize that the polymorphisms of the dopaminergic pathway should be associated the abnormal CBF in the CBTC circuitry.ObjectiveTo investigate the association of the polymorphisms throughout the dopaminergic pathway with the cerebral blood flow (CBF) of PMR in MDD.MethodsThe blood sample of 63 patients (23 PMR, 40 NPMR) were collected for genotyping the dopaminergic polymorphisms (92 SNPs from10 genes). After quality controlling, 15 SNPs in 8 candidate genes were entered into the mass univariate modeling analysis. For the statistical analysis, patients with unqualified fMRI image and unmatched demographic data were ruled out. Consequently 56 patients (23 PMR, 33 NPMR) were taken into the statistical analysis.ResultsGenotype-by PMR associations with the CBF differences predominately distributed in bilateral prefrontal cortex (PFC), temporal cortex, and striatum, the left thalamus, the right primary motor cortex, insular cortex, fusiform gyri, and lingual gyri. There were significant negative correlation between the CBF of the PFC and the PMR severity. However, the CBF of the striatum and the thalamus were positively correlated with the PMR severity.ConclusionsThe polymorphisms of dopaminergic pathway are associated with not only CSTC circuitry, but also some other brain regions involving in cognition and emotion controlling. While the increased CBF of PFC might suppress PMR, the increased CBF of striatum and thalamus adversely aggravate PMR.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Amoroso A, An Q, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao XL, Gao Y, Gao Y, Gao YG, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guo YP, Guskov A, Han S, Han TT, Han TZ, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HB, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, 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, Lavezzi L, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li HB, Li HJ, Li JC, Li JL, Li K, Li LK, Li L, Li PL, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li XN, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LY, Liu Q, Liu SB, Liu S, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu ZQ, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, 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, Papenbrock M, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schnier C, Schoenning K, Shan DC, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Song YX, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YX, Tang CJ, Tang GY, Tang J, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Wang Z, Weber T, Wei DH, Weidenkaff P, Weidner F, Wen HW, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xu GF, Xu JJ, Xu QJ, Xu W, Xu XP, Yan L, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, 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 W, Yuan XQ, Yuan Y, Yue CX, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang G, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang L, Zhang L, Zhang S, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhao G, Zhao J, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhong C, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of a Resonant Structure in e^{+}e^{-}→K^{+}K^{-}π^{0}π^{0}. PHYSICAL REVIEW LETTERS 2020; 124:112001. [PMID: 32242687 DOI: 10.1103/physrevlett.124.112001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 02/28/2020] [Indexed: 06/11/2023]
Abstract
A partial-wave analysis is performed for the process e^{+}e^{-}→K^{+}K^{-}π^{0}π^{0} at the center-of-mass energies ranging from 2.000 to 2.644 GeV. The data samples of e^{+}e^{-} collisions, collected by the BESIII detector at the BEPCII collider with a total integrated luminosity of 300 pb^{-1}, are analyzed. The total Born cross sections for the process e^{+}e^{-}→K^{+}K^{-}π^{0}π^{0}, as well as the Born cross sections for the subprocesses e^{+}e^{-}→ϕπ^{0}π^{0}, K^{+}(1460)K^{-}, K_{1}^{+}(1400)K^{-}, K_{1}^{+}(1270)K^{-}, and K^{*+}(892)K^{*-}(892), are measured versus the center-of-mass energy. The corresponding results for e^{+}e^{-}→K^{+}K^{-}π^{0}π^{0} and ϕπ^{0}π^{0} are consistent with those of BABAR with better precision. By analyzing the cross sections for the four subprocesses, K^{+}(1460)K^{-}, K_{1}^{+}(1400)K^{-}, K_{1}^{+}(1270)K^{-}, and K^{*+}(892)K^{*-}(892), a structure with mass M=(2126.5±16.8±12.4) MeV/c^{2} and width Γ=(106.9±32.1±28.1) MeV is observed with an overall statistical significance of 6.3σ, although with very limited significance in the subprocesses e^{+}e^{-}→K_{1}^{+}(1270)K^{-} and K^{*+}(892)K^{*-}(892). The resonant parameters of the observed structure suggest it can be identified with the ϕ(2170), thus the results provide valuable input to the internal nature of the ϕ(2170).
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Li X, Xiong Z, Liu Y, Yuan Y, Deng J, Xiang W, Li Z. Case report of first-episode psychotic symptoms in a patient with early-onset Alzheimer's disease. BMC Psychiatry 2020; 20:128. [PMID: 32183776 PMCID: PMC7079379 DOI: 10.1186/s12888-020-02537-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Accepted: 03/06/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is a neurodegenerative disorder featuring the behavioral and psychological symptoms of dementia. Patients with early-onset AD that exhibits first as psychotic symptoms usually lack obvious cognitive impairment, so they may be misdiagnosed with late-onset schizophrenia. CASE PRESENTATION We report a patient who had prominent psychotic symptoms at the age of 60 and was initially diagnosed with very-late-onset-schizophrenia-like psychosis. Psychotic symptoms disappeared rapidly after treatment with olanzapine, and the patient later showed extrapyramidal symptoms and decline in cognitive function. Brain magnetic resonance imaging (MRI) showed frontotemporal atrophy, and positron emission tomography (PET) showed extensive areas of hypometabolism in the frontal cortex and head of the caudate nucleus. The patient's SORL1 gene was found to carry a heterozygrous mutation (c.296A > G). The patient was eventually diagnosed with early-onset AD. CONCLUSIONS Our case suggests that clinicians should consider the possibility of early-onset AD in middle-aged or elderly patients whose first symptoms are the behavioral and psychological symptoms of dementia. To distinguish early-onset AD from late-onset schizophrenia, clinicians should evaluate cognitive function, perform MRI and PET, and search for SORL1 mutations.
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Someili A, Alshammari K, Yuan Y, Alhazzani W. A197 MEDICAL INTERVENTIONS IN EOSINOPHILIC ESOPHAGITIS (EOE): A SYSTEMATIC REVIEW AND META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS (RCTS). J Can Assoc Gastroenterol 2020. [DOI: 10.1093/jcag/gwz047.196] [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
Eosinophilic esophagitis (EoE) is a chronic, allergic/immune condition of esophagus characterized clinically by symptoms related to esophageal dysfunction and histologically by eosinophil-predominant inflammation.
Aims
Despite different drugs were studied for the treatment of EoE, there is no consensus on what the most effective medical interventions. We performed a systematic review and meta-analysis of RCTs to compare the efficacy of medical interventions in patients with EoE.
Methods
We searched MEDLINE, EMBASE and the Cochrane CENTRAL (via OvidSP) published from inception to November 01, 2018, to identify RCTs assessing the efficacy of medications (PPIs, steroids, anti-IL5 agents, anti-IL13 agents, anti-IL-4Rα agents and mast cell stabilizers) in patients with EoE. Outcomes were symptoms improvement and histology improvement. Studies that only reported continuous scores were excluded. Pooled risk ratios (RR) with 95% confidence intervals (CI), using a random effects model, were calculated.
Results
Among 1311 citations, 19 RCTs (n=1239 EoE cases) were included. 11 RCTs compared steroids vs placebo, two compared PPIs vs steroids, two compared anti- IL-13 vs placebo, two compared anti-IL-5 vs placebo, one compared anti-IL-4Rα vs placebo, and one compared mast cell stabilizer vs placebo. Steroids demonstrated significant improved in histology (63.3% vs 2.9%; RR 10.12, 95% CI 4.56–22.46) and improved EOE symptoms (39.6% vs 20.0%; RR =1.91, 1.16,3.14) compared to placebo. No difference was seen between oral and inhale steroids. No significant difference was seen between PPI vs prednisone either in symptom (RR 1.33, 0.36, 4.97) or in histology improvement (RR 1.83,0.76,4.40). Limited data suggest there is no significant difference between anti-IL-13 vs placebo; and anti-IL5 vs placebo; anti-IL-4Rα dupilumab but not mast cell stabilizer cromolyn may significantly improve histology compared to placebo. No substantial heterogeneity was seen in all analyses.
Conclusions
Current evidence suggests steroids significantly improve histology as well as symptoms in patients with EoE in compared to placebo. There is no significant difference between steroids and PPI. Data relate to other newer agents are limited. This meta-analysis highlights the variability in the interventions of EoE and the need for further studies to determine the optimal intervention.
Funding Agencies
None
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Zhou Y, Lee J, Yuan Y. A90 A UTILITY-BASED BAYESIAN OPTIMAL INTERVAL (U-BOIN) PHASE I/II DESIGN TO IDENTIFY THE OPTIMAL BIOLOGICAL DOSE FOR TARGETED AND IMMUNE THERAPIES. J Can Assoc Gastroenterol 2020. [DOI: 10.1093/jcag/gwz047.089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
In the era of targeted therapy and immunotherapy, the objective of dose finding is often to identify the optimal biological dose (OBD), rather than the maximum tolerated dose (MTD).
Aims
To develop a utility-based Bayesian optimal interval (U-BOIN) phase I/II design to find the OBD.
Methods
We jointly model toxicity and efficacy using a multinomial-Dirichlet model, and employ a utility function to measure dose risk-benefit trade-off. The U-BOIN design consists of two seamlessly connected stages. In stage I, the Bayesian optimal interval (BOIN) design is used to quickly explore the dose space and collect preliminary toxicity and efficacy data. In stage II, in light of accumulating efficacy and toxicity from both stages I and II, we continuously update the posterior estimate of the utility for each dose after each cohort, and use this information to direct the dose assignment and selection. Compared to existing phase I/II designs, one prominent advantage of the U-BOIN design is its simplicity for implementation. Once the trial is designed, it can be easily applied using predetermined decision tables, without complex model fitting and estimation.
Results
Our simulation study shows that, despite its simplicity, the U-BOIN design is robust and has high accuracy to identify the OBD.
Conclusions
The U-BOIN design provide a practical, easy-to-implement method to identify the OBD for phase I-II clinical trials. It has great potential to accelate the drug development for GI diseases.
Funding Agencies
NIH
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Yan JW, Yuan Y, Chen Q, Shi JH. [Direct oral anticoagulants in the treatment of venous thromboembolism]. ZHONGHUA JIE HE HE HU XI ZA ZHI = ZHONGHUA JIEHE HE HUXI ZAZHI = CHINESE JOURNAL OF TUBERCULOSIS AND RESPIRATORY DISEASES 2020; 43:140-145. [PMID: 32062885 DOI: 10.3760/cma.j.issn.1001-0939.2020.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
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Kholiavchenko M, Sirazitdinov I, Kubrak K, Badrutdinova R, Kuleev R, Yuan Y, Vrtovec T, Ibragimov B. Contour-aware multi-label chest X-ray organ segmentation. Int J Comput Assist Radiol Surg 2020; 15:425-436. [PMID: 32034633 DOI: 10.1007/s11548-019-02115-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 12/30/2019] [Indexed: 11/29/2022]
Abstract
PURPOSE Segmentation of organs from chest X-ray images is an essential task for an accurate and reliable diagnosis of lung diseases and chest organ morphometry. In this study, we investigated the benefits of augmenting state-of-the-art deep convolutional neural networks (CNNs) for image segmentation with organ contour information and evaluated the performance of such augmentation on segmentation of lung fields, heart, and clavicles from chest X-ray images. METHODS Three state-of-the-art CNNs were augmented, namely the UNet and LinkNet architecture with the ResNeXt feature extraction backbone, and the Tiramisu architecture with the DenseNet. All CNN architectures were trained on ground-truth segmentation masks and additionally on the corresponding contours. The contribution of such contour-based augmentation was evaluated against the contour-free architectures, and 20 existing algorithms for lung field segmentation. RESULTS The proposed contour-aware segmentation improved the segmentation performance, and when compared against existing algorithms on the same publicly available database of 247 chest X-ray images, the UNet architecture with the ResNeXt50 encoder combined with the contour-aware approach resulted in the best overall segmentation performance, achieving a Jaccard overlap coefficient of 0.971, 0.933, and 0.903 for the lung fields, heart, and clavicles, respectively. CONCLUSION In this study, we proposed to augment CNN architectures for CXR segmentation with organ contour information and were able to significantly improve segmentation accuracy and outperform all existing solution using a public chest X-ray database.
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Li WW, Chen QQ, Zhang ZH, Sa N, Yuan Y, Sun Y. [Analysis of drug resistance pattern and genes of Salmonella.spp isolated from human infections in Anhui Province]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2020; 54:187-191. [PMID: 32074708 DOI: 10.3760/cma.j.issn.0253-9624.2020.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the drug resistance pattern and drug resistance genotypes of Salmonella. spp isolated from fecal specimens and anal swabs of diarrhea cases in Anhui Province. Methods: The 149 strains of Salmonella.spp isolated from feces and anal swabs of diarrhea cases in Anhui Province from April to October 2017 were selected. The serotypes of Salmonella.spp were identified by slide agglutination. The susceptibility of all strains to 14 antibiotics were determined by micro-broth dilution method. Sixty of the cephalosporin-resistant antibiotics were selected. The β-lactamase encoding genes bla(TEM), bla(SHV), bla(OXA-1), bla(OXA-2), bla(PER), bla(CMY), bla(CTX-M), and colistin resistance genes mcr-1 and mcr-2 were performed using the multi-PCR method. Results: Of the 149 diarrhea cases, the median (P(25), P(75)) of the age was 5.0 (1.1, 38.5). The 92 of them were male and 54.4% were children. Of the 149 strains of Salmonella.spp, 105 strains had different degrees of resistance to 13 antibiotics other than imipenem. The resistance rate of ampicillin was 55.0% (82/149), which was the highest. 53.0% strains (79 strains) were multidrug resistant, main of which were Salmonella typhimurium and Salmonella enteritidis. A total of 53 resistance patterns were detected, and 10 strains were resistant to ampicillin-ampicillin/sulbactam-tetracycline-chloramphenicol-cefazolin-trimethoprim/sulfamethoxazole, which was the most common resistance pattern. Among the 60 cephalosporin resistant strains, 45 strains carried bla(TEM-1), 6 of which also carried bla(CTX-M-14) and 3 of which also carried bla(CTX-M-65). All the 32 strains carried only bla(TEM-1) show resistance to ampicillin and 31 of them show resistance to cefazolin. There were 2 strains showing negative results of gene detection. mcr-1 was detected in a multidrug resistant strain. Conclusion: The resistance of Salmonella.spp to ampicillin shows a serious situation in this region, and there were a number of multidrug resistant strains. The bla(TEM-1) was the major drug resistance gene detected in this research. Detection of the mcr-1 suggests the emergence of surveillance to colistin resistance of Salmonella.spp in this area.
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Li QR, Zhen Z, Na J, Gao L, Cao YL, Yuan Y. [Analysis of four children with anomalous origin of the left coronary artery from the right sinus with interarterial course]. ZHONGHUA ER KE ZA ZHI = CHINESE JOURNAL OF PEDIATRICS 2020; 58:113-117. [PMID: 32102147 DOI: 10.3760/cma.j.issn.0578-1310.2020.02.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Objective: To investigate the clinical features and improve the diagnosis and treatment of anomalous origin of the left coronary artery from the right coronary sinus with an interarterial course (ALCA-R-IAC) between the ascending aorta and main pulmonary artery in children. Methods: A retrospective analysis of the clinical manifestation, laboratory test, radiological feature, treatment and prognosis were conducted in four female children presented with ALCA-R-IAC in Beijing Children's Hospital from November 2015 to June 2018. Results: The four girls with onset age of 7.5-14.7 years were diagnosed with ALCA-R-IAC by CT coronary angiography (CTCA). Four children presented with exercise-induced syncope and clinical manifestations of acute myocardial infarction including 3 patients with acute left heart failure, 1 cardiogenic shock and 1 cardiac arrest. Nervous system involvement was found in one patient. Troponin I increased significantly to 20.65-50.00 μg/L in the four patients. Electrocardiogram (ECG) developed signs of left main coronary artery involvement. Echocardiography revealed reduced left ventricular ejection fraction (LVEF) of 25%-45% in three children and suspected anomalous origin of the left coronary artery in one child. CTCA showed an anomalous left coronary artery originating from the right coronary sinus, which had an interarterial course between the aorta and pulmonary artery leading to a slim left main coronary trunk. Two children underwent unroofing procedure and the other two children in whom physical activities were restricted received conservative managements. During a regular follow-up period of 12-43 months, all the children survived without recurrent symptoms and had good prognosis. Conclusions: ALCA-R-IAC can present as exercise-related syncope and acute myocardial infarction, even sudden death in children and adolescents. CTCA is helpful to clarify the early diagnosis of ALCA-R-IAC. Surgical intervention is the main treatment for ALCA-R-IAC and strenuous physical activities should be avoided.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen J, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao Y, Gao Y, Gao YG, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Han TZ, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang LQ, Huang XT, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, 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 M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li HB, Li HJ, Li JC, Li K, Li LK, Li L, Li PL, Li PR, Li WD, Li WG, Li XH, Li XL, Li XN, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi M, Qian S, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang WP, Wang X, Wang XF, Wang XL, Wang YD, Wang Y, Wang Y, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Weidner F, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu JF, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Yang Z, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan XQ, Yuan Y, Yue CX, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JW, Zhang JY, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao J, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhong C, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Measurement of Proton Electromagnetic Form Factors in e^{+}e^{-}→pp[over ¯] in the Energy Region 2.00-3.08 GeV. PHYSICAL REVIEW LETTERS 2020; 124:042001. [PMID: 32058790 DOI: 10.1103/physrevlett.124.042001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 09/19/2019] [Indexed: 06/10/2023]
Abstract
The process of e^{+}e^{-}→pp[over ¯] is studied at 22 center-of-mass energy points (sqrt[s]) from 2.00 to 3.08 GeV, exploiting 688.5 pb^{-1} of data collected with the BESIII detector operating at the BEPCII collider. The Born cross section (σ_{pp[over ¯]}) of e^{+}e^{-}→pp[over ¯] is measured with the energy-scan technique and it is found to be consistent with previously published data, but with much improved accuracy. In addition, the electromagnetic form-factor ratio (|G_{E}/G_{M}|) and the value of the effective (|G_{eff}|), electric (|G_{E}|), and magnetic (|G_{M}|) form factors are measured by studying the helicity angle of the proton at 16 center-of-mass energy points. |G_{E}/G_{M}| and |G_{M}| are determined with high accuracy, providing uncertainties comparable to data in the spacelike region, and |G_{E}| is measured for the first time. We reach unprecedented accuracy, and precision results in the timelike region provide information to improve our understanding of the proton inner structure and to test theoretical models which depend on nonperturbative quantum chromodynamics.
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Ran L, Yuan Y, Cooter E, Benson V, Yang D, Pleim J, Wang R, Williams J. An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 2020; 11:4645-4668. [PMID: 34122728 PMCID: PMC8193828 DOI: 10.1029/2019ms001708] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
UNLABELLED We present a regional-scale integrated modeling system (IMS) that includes Environmental Policy Integrated Climate (EPIC), Weather Research and Forecast (WRF), Community Multiscale Air Quality (CMAQ), and Soil and Water Assessment Tool (SWAT) models. The centerpiece of the IMS is the Fertilizer Emission Scenario Tool for CMAQ (FEST-C), which includes a Java-based interface and EPIC adapted to regional applications along with built-in database and tools. The SWAT integration capability is a key enhanced feature in the current release of FEST-C v1.4. For integrated modeling demonstration and evaluation, FEST-C EPIC is simulated over three individual years with WRF/CMAQ weather and N deposition. Simulated yearly changes in water and N budgets along with yields for two major crops (corn grain and soybean) match those inferred from intuitive physical reasoning and survey data given different-year weather conditions. Yearlong air quality simulations with an improved bidirectional ammonia flux modeling approach directly using EPIC-simulated soil properties including NH3 content helps reduce biases of simulated gas-phase NH3 and NH4 + wet deposition over the growing season. Integrated hydrology and water quality simulations applied to the Mississippi River Basin show that estimated monthly streamflow and dissolved N near the outlet to the Gulf of Mexico display similar seasonal patterns as observed. Limitations and issues in different parts of the integrated multimedia simulations are identified and discussed to target areas for future improvements. PLAIN LANGUAGE SUMMARY Computer modeling tools with land-water-air processes are important for understanding nutrient cycling and its negative impacts on air and water quality. We have developed an integrated modeling system that includes agriculture, atmosphere, and hydrology components. The centerpiece of the system is a computer system that includes an agricultural ecosystem model and tools used to connect different modeling components. The agricultural system can conduct simulations for 42 types of grassland and cropland with the influence of site, soil, and management information along with weather and nitrogen deposition from the atmosphere component. An air quality computer model then uses information from the agricultural model, such as how much ammonia is in the soil, to predict how much ammonia gets in the air. Then, the watershed hydrology and water quality model uses the information from the agricultural and atmospheric models to understand the influence of agriculture and atmosphere on water quality. The paper demonstrates and evaluates the integrated modeling system on issues mainly related to N cycling. The system performs reasonably well in comparison with survey and observation data given the configured modeling constraints. The paper also identifies and discusses the advantages and limitations in each part of the system for future applications and improvements.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Andersson WI, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, 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 M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu K, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Weidner F, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu T, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Measurement of the Cross Section for e^{+}e^{-}→Ξ^{-}Ξ[over ¯]^{+} and Observation of an Excited Ξ Baryon. PHYSICAL REVIEW LETTERS 2020; 124:032002. [PMID: 32031834 DOI: 10.1103/physrevlett.124.032002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/05/2019] [Indexed: 06/10/2023]
Abstract
Using a total of 11.0 fb^{-1} of e^{+}e^{-} collision data with center-of-mass energies between 4.009 and 4.6 GeV and collected with the BESIII detector at BEPCII, we measure fifteen exclusive cross sections and effective form factors for the process e^{+}e^{-}→Ξ^{-}Ξ[over ¯]^{+} by means of a single baryon-tag method. After performing a fit to the dressed cross section of e^{+}e^{-}→Ξ^{-}Ξ[over ¯]^{+}, no significant ψ(4230) or ψ(4260) resonance is observed in the Ξ^{-}Ξ[over ¯]^{+} final states, and upper limits at the 90% confidence level on Γ_{ee}B for the processes ψ(4230)/ψ(4260)→Ξ^{-}Ξ[over ¯]^{+} are determined. In addition, an excited Ξ baryon at 1820 MeV/c^{2} is observed with a statistical significance of 6.2-6.5σ by including the systematic uncertainty, and the mass and width are measured to be M=(1825.5±4.7±4.7) MeV/c^{2} and Γ=(17.0±15.0±7.9) MeV, which confirms the existence of the J^{P}=3/2^{-} state Ξ(1820).
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Duan Z, Yuan Y, Lu JC, Wang JL, Li Y, Svanberg S, Zhao GY. Underwater spatially, spectrally, and temporally resolved optical monitoring of aquatic fauna. OPTICS EXPRESS 2020; 28:2600-2610. [PMID: 32121945 DOI: 10.1364/oe.383061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 01/06/2020] [Indexed: 06/10/2023]
Abstract
A continuous-wave (CW) Scheimpflug underwater multi-spectral lidar system was constructed to monitor aquatic fauna with spatial, spectral, and temporal resolution. Utilizing a 1 W 414 nm diode laser and a detection set-up with a reflective grating, measurements of shrimp pleopod movements at fixed range, and the swimming of small fish trapped in a clear tube were performed in a 5 m ×0.6 m ×0.6 m water tank. The spatial resolution is about 5 mm, the spectral resolution is 10 nm (from 400 nm to 700 nm), and with proper binning of the CCD, a read-out repetition rate up to 150 Hz can be reached. The experimental results demonstrate that the underwater Scheimpflug lidar system has great potential for detailed monitoring of the small aquatic fauna in oceanic environments.
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Zhou RX, Li F, Gao K, Li H, Yuan Y, Sun Y, Zhang XL. [Effects of different types of music on intraocular pressure and the underlying mechanism]. [ZHONGHUA YAN KE ZA ZHI] CHINESE JOURNAL OF OPHTHALMOLOGY 2020; 56:25-31. [PMID: 31937060 DOI: 10.3760/cma.j.issn.0412-4081.2020.01.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Objective: To explore the effect of listening to different types of music on intraocular pressure (IOP) and the underlying mechanism. Methods: Cross-sectional study. Participants were students from Sun Yat-sen University from October 2017 to May 2018. The study consisted of two parts. In part 1, three types of music, including relaxing, positive and negative music, were used to find out which kind of music could reduce IOP. IOP was measured before and after listening to music. A self-report questionnaire was used to evaluate emotional responses to each type of music. In part 2, the diurnal curve of IOP at 6 time points of 7:30, 9:30, 11:30, 13:30, 15:30 and 17:30 was measured to determine when the individual's IOP peaked. On the second day, the subject listened to the music that could reduce IOP for 15 minutes at his/her IOP peak time. IOP, blood pressure (BP) and heart rate (HR) were measured, and morphology of the chamber angle was captured by swept-source optical coherence tomography before and after listening to music. Image J software was used to measure the diameter and cross-sectional area of Schlemm's canal (SC). Paired t-test was used to compare BP, HR and SC measurements prior to and post-music intervention. Results: In part 1, fifteen subjects, including 7 males and 8 females, were enrolled, with an average age of (23±1) years. Relaxation music could significantly lower IOP [(11.62±2.51) vs. (12.65±2.49) mmHg (1 mmHg=0.133 kPa) , t=-2.39, P=0.032]. Positive music had no effect on IOP [(12.45±2.77) vs. (12.65±2.46) mmHg, P=0.566] and negative music increased IOP [(12.13±1.60) vs. (10.86±2.78) mmHg, t=2.45, P=0.029]. Relaxation music could also arouse relaxation emotions in 14 out of 15 subjects. In part 2, 55 subjects, including 20 males and 35 females, were enrolled, with an average age of (26±10) years. The diurnal curve of IOP at 6 time points of every participant was measured. At each individual's peak time point, listening to relaxation music could decrease IOP [(12.66±4.32) vs. (13.99±4.47) mmHg, t=-5.72, P<0.01]. HR before and after listening to relaxation music was (79.57±10.43) and (75.57±9.62) beats/min, respectively (t=-3.68, P=0.001). Systolic BP was (118.11±13.92) and (110.82±12.67) mmHg, respectively (t=-5.10, P<0.01). Diastolic BP significantly declined from (70.07±9.96) to (66.14±8.48) mmHg (t=-3.65, P=0.001). Average SC area significantly increased after listening to relaxation music [(255.96±93.36) vs. (230.07±92.20) pixels, t=2.88, P=0.006]. Average SC diameter was (8.62±1.89) and (9.41±2.37) pixels, respectively before and after listening to relaxation music (t=3.39, P=0.001). Conclusion: Relaxation music reduces IOP in healthy subjects probably by dilating the SC.(Chin J Ophthalmol, 2020, 56: 25-31).
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Ming H, Sun J, Pasquariello R, Herrick JR, Yuan Y, Gutierrez E, Gatenby L, Bondioli KR, Krisher RL, Jiang Z. 2 The landscape of accessible chromatin in bovine oocytes and early embryos. Reprod Fertil Dev 2020. [DOI: 10.1071/rdv32n2ab2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Chromatin reorganization governs gene expression regulation during pre-implantation development. However, the global chromatin landscape and its dynamics in this period remain unexplored in bovine. In this study, we constructed a genome-wide map of accessible chromatin in bovine oocytes and early embryos using an improved assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq). We analysed pools of 20 germinal vesicles or MII oocytes or 2-, 4-, 8-, 16-cell, morula, and blastocyst stage invitro-produced embryos. We conducted ATAC-seq on six pools for each stage and an additional four pools of invivo-derived morula and blastocysts and six replicates using individual Day 14 elongating embryos. We obtained ~110 million paired end reads uniquely mapped to the bovine reference genome for each stage. Hierarchical clustering, t-distributed stochastic neighbour embedding, and principal component analysis showed four distinct patterns for open chromatin status: (1) low accessibility in germinal vesicles and MII oocytes and in 2- and 4-cell embryos; (2) significantly elevated accessibility in 8-cell, 16-cell, and morula embryos; (3) less accessibility in blastocysts; and (4) extremely high accessibility in elongating embryos. This dynamic and sequential chromatin remodelling is consistent with transcription activation during the bovine minor embryonic genome activation from fertilization to 4-cell, major embryonic genome activation at 8-cell, first differentiation at blastocyst and drastic transcription initiation for embryo elongation. Genome-wide characteristics of accessible chromatin showed (1) accessible chromatin near the transcription start sites of active genes and CpG-rich promoters; (2) widespread accessible chromatin regions extensively overlapped with transposable elements; (3) distal peaks preferentially enriched for repeats including LINE, SINE, and LTR from 8-cell to morula embryos, especially for LTR, whereas enrichment in simple repeats were found from oocytes to 4-cell and in elongating embryos; and (4) highly stage-specific transcription factor motifs in distal peaks were unveiled. By integrating the maps of chromatin accessibility with bovine embryo transcriptomes and DNA methylomes, we found promoter accessibility and DNA methylation in bovine embryos correlated with both gene activities and CpG densities. Most importantly, we constructed the regulatory networks of stage-specific expressed genes and stage-specific activated genes with three omics datasets in bovine early embryos and revealed conserved and distinctive transcriptional regulatory networks between invivo- and invitro-derived embryos. This comprehensive analysis revealed critical features of the chromatin landscape and epigenetic reprogramming during bovine early embryo development.
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Wang Z, Komatsu T, Ohata Y, Watanabe Y, Yuan Y, Yoshii Y, Park S, Mori R, Satou M, Kondo Y, Shimokawa I, Chiba T. Effects of rikkunshito supplementation on resistance to oxidative stress and lifespan in mice. Geriatr Gerontol Int 2019; 20:238-247. [PMID: 31855319 DOI: 10.1111/ggi.13848] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 10/05/2019] [Accepted: 11/22/2019] [Indexed: 11/30/2022]
Abstract
AIM Caloric restriction (CR), which limits the caloric intake to 60-70% of ad libitum (AL) amounts in various experimental animals, delays aging and extends the lifespan. We previously showed that neuropeptide Y (NPY), an appetite-stimulating peptide, is essential for the anti-oxidative and life-extending effects of CR. Here, we investigated whether a Japanese traditional herbal medicine, rikkunshito (RKT), which induces NPY activation, has CR-like life-extending effects. METHODS First, we evaluated the life-extending activity of RKT by examining the effect of long-term RKT administration on wild-type and NPY knockout mice. Furthermore, we tested whether RKT enhances CR-mediated beneficial effects under AL conditions with a normal diet and under mild CR conditions with a high-fat diet. We then used 3-nitropropionic acid or doxorubicin to induce oxidative stress, and analyzed the differences in survival rate, weight loss, gene expression and cellular oxidative damage among groups. RESULTS RKT administration did not extend the lifespan of wild-type or NPY knockout mice. In the oxidative stress models, RKT treatment upregulated anti-oxidative gene expression in the liver. Furthermore, RKT administration reduced the oxidative damage in the liver compared to the CR conditions alone. However, on induction of oxidative stress by 3-nitropropionic acid or doxorubicin, RKT administration did not affect the survival rate. CONCLUSIONS These results show that RKT administration only partially mimics the effects of CR at the cellular level, but not at the organismal level to increase the lifespan of mice. Geriatr Gerontol Int 2019; ••: ••-••.
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Jiang D, Liu Z, Yan H, Li J, Tseng C, Yuan Y, Qiu Y, Zhu Z. Correction of Scoliosis with Large Thoracic Curves in Marfan Syndrome: Does the High-Density Pedicle Screw Construct Contribute to Better Surgical Outcomes. Med Sci Monit 2019; 25:9658-9665. [PMID: 31846451 PMCID: PMC6929550 DOI: 10.12659/msm.918829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background The aim of this study was to determine whether higher density screw constructs resulted in better surgical outcomes in patients with scoliosis secondary to Marfan syndrome (MF-S) with large thoracic curves (≥70°). Material/Methods There were 34 MF-S patients who met the inclusion criteria and were evaluated radiographically before surgery, 2 weeks after operation, and at the final follow-up. The mean screw density was taken as the boundary, and patients were categorized as either in the high density (HD) group or the low density (LD) group. Parameters measured included coronal Cobb angle, T5–T12 kyphosis (TK), and T12–S1 lordosis (LL). Additionally, the operation duration, estimated blood loss, screw accuracy, complication rate, and clinical outcomes were compared between the 2 groups. Results The mean screw density of all patients was 1.40±0.15 (range 1.13 to 1.67). Correction rate of the thoracic curve was closely related to the screw density at the concave side (r=0.783, P=0.007). Intergroup comparison showed a significantly higher correction rate of the thoracic coronal curve in HD group (56.59±4.80% versus 44.54±9.61%, P=0.036). At last follow-up, coronal correction loss of >5° occurred in 8 cases (47.1%) in the LD group and 3 cases (17.6%) in the HD group. Both groups demonstrated improvement in each domain of the SRS-22 questionnaire after surgery and no significant intergroup difference was found. Conclusions The high-density pedicle screw construct contributed to the significantly improved correction rate of thoracic curves in MF-S patients with large thoracic curves (≥70°). Additionally, increasing of pedicle screw number could help to enhance the structural stability and reduce the correction loss during the follow-up period.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, 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 M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu T, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of the Semileptonic D^{+} Decay into the K[over ¯]_{1}(1270)^{0} Axial-Vector Meson. PHYSICAL REVIEW LETTERS 2019; 123:231801. [PMID: 31868427 DOI: 10.1103/physrevlett.123.231801] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/01/2019] [Indexed: 06/10/2023]
Abstract
By analyzing a 2.93 fb^{-1} data sample of e^{+}e^{-} collisions, recorded at a center-of-mass energy of 3.773 GeV with the BESIII detector operated at the BEPCII collider, we report the first observation of the semileptonic D^{+} transition into the axial-vector meson D^{+}→K[over ¯]_{1}(1270)^{0}e^{+}ν_{e} with a statistical significance greater than 10σ. Its decay branching fraction is determined to be B[D^{+}→K[over ¯]_{1}(1270)^{0}e^{+}ν_{e}]=(2.30±0.26_{-0.21}^{+0.18}±0.25)×10^{-3}, where the first and second uncertainties are statistical and systematic, respectively, and the third originates from the input branching fraction of K[over ¯]_{1}(1270)^{0}→K^{-}π^{+}π^{0}.
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Yuan Y, Min SJ, Xu DQ, Shen Y, Yan HY, Wang Y, Wang W, Tan YJ. Expressions of VEGF and miR-21 in tumor tissues of cervical cancer patients with HPV infection and their relationships with prognosis. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2019; 22:6274-6279. [PMID: 30338794 DOI: 10.26355/eurrev_201810_16035] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To investigate the expressions of vascular endothelial growth factor (VEGF) and micro-ribonucleic acid-21 (miR-21) in cervical cancer patients with human papillomavirus (HPV) infection and determine the potential relationships with prognosis. PATIENTS AND METHODS Expressions of VEGF in cervical cancer tissues and cancer-adjacent tissues were detected by immunohistochemistry, and the expressions of miR-21 and VEGF in both tissues were quantitatively analyzed using reverse transcription polymerase chain reaction (RT-PCR). Patients with cervical cancer were followed up after operation, and the survival rates of patients with different expression levels of miR-21 and VEGF were compared. RESULTS VEGF was expressed in both cervical cancer tissues and cancer-adjacent tissues. The positive expression rate of VEGF in cervical cancer tissues (75.69%) was significantly higher than that in cancer-adjacent tissues (10.45%). RT-PCR results showed that the expression levels of miR-21 and VEGF in cervical cancer tissues were significantly higher than those in cancer-adjacent tissues (p<0.05). Correlation analyses revealed that miR-21 expression was significantly positively correlated with VEGF expression in cervical cancer tissues (r2=0.4174, p<0.0001). Prognostic analyses showed that the 5-year survival rate of patients was relatively high when miR-21 and VEGF were lowly expressed. CONCLUSIONS VEGF and miR-21 are highly expressed in tumor tissues of cervical cancer patients with HPV infection. VEGF expression is significantly positively correlated with miR-21 expression, and the high levels of VEGF and miR-21 predict unfavorable prognosis of cervical cancer. Data provide a theoretical support for clinical treatment of cervical cancer patients with HPV infection.
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Li N, Yuan Y, Ding Y, Huang Z, Zhai Y, Li X, Wang Y, Zhan S. Psychiatric symptoms in adolescents with narcolepsy. Sleep Med 2019. [DOI: 10.1016/j.sleep.2019.11.1230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Zhao YW, Wang DQ, Deng JW, Yu M, Zheng YM, Leng YL, Zhang W, Wang ZX, Yuan Y. [The value of muscle biopsy in rhabdomyolysis]. ZHONGHUA NEI KE ZA ZHI 2019; 58:899-904. [PMID: 31775453 DOI: 10.3760/cma.j.issn.0578-1426.2019.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the diagnostic value of skeletal muscle biopsy in patients with rhabdomyolysis. Methods: Clinical and pathological data of 26 patients with rhabdomyolysis from January 2002 to December 2018 undergoing muscle biopsy were collected. Results: Eighteen males and 8 females were finally recruited with median age of 6-73 (37.3±19.6) years. The average time from onset to biopsy was 44 days (median course was 30 days). All patients had acute manifestations with muscle pain and/or weakness. Serum creatine kinase was between 1 648-92 660 U/L. Muscle biopsies showed nonspecific changes in 12 cases (a few with type 2 muscle fiber atrophy, slight deposition of lipid droplets), 10 cases with necrotizing myopathy (muscle fiber necrosis and regeneration). Toxic neurogenic damages were seen in 2 cases (type 1 and type 2 angular atrophic muscle fibers with group change), lipid storage disease in 1 case (lipid droplets deposit significantly) and idiopathic inflammatory myopathy in 1 case (muscle fiber necrosis and regeneration, with lymphocyte infiltration). The etiology of non-specific pathological changes included short-term strenuous exercise in 6 patients, poisoning in two, chronic kidney disease in one, viral infection in one, hypothyroidism in one and unknown reason in one. As to patients with necrotizing myopathy, seven were poisoning or drug-related, one with hyperthyroidism, two with unknown reason. Conclusions: Among the numerous causes of rhabdomyolysis, exercise usually links nonspecific skeletal muscle changes and poisoning or drug-related disorders are commonly associated with necrotic myopathy. Rhabdomyolysis induced by primary myopathy is rare.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Himmelreich M, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Andersson WI, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, 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 M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LY, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales CM, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi HR, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Richter M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schelhaas Y, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu T, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of the Leptonic Decay D^{+}→τ^{+}ν_{τ}. PHYSICAL REVIEW LETTERS 2019; 123:211802. [PMID: 31809130 DOI: 10.1103/physrevlett.123.211802] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Indexed: 06/10/2023]
Abstract
We report the first observation of D^{+}→τ^{+}ν_{τ} with a significance of 5.1σ. We measure B(D^{+}→τ^{+}ν_{τ})=(1.20±0.24_{stat}±0.12_{syst})×10^{-3}. Taking the world average B(D^{+}→μ^{+}ν_{μ})=(3.74±0.17)×10^{-4}, we obtain R_{τ/μ}=Γ(D^{+}→τ^{+}ν_{τ})/Γ(D^{+}→μ^{+}ν_{μ})=3.21±0.64_{stat}±0.43_{syst}., which is consistent with the standard model expectation of lepton flavor universality. Using external inputs, our results give values for the D^{+} decay constant f_{D^{+}} and the Cabibbo-Kobayashi-Maskawa matrix element |V_{cd}| that are consistent with, but less precise than, other determinations.
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Yuan Y, Wang LY, Mei J, Cheng Y, Wang W, Chu L, Tang J, Li N, Li HH, He WX, Yang LL, Chen J, Bai YS, Wu Y, Liang JB, Sun SY, Zhang X, Yang XD. [Protective effect of excretory-secretory protein from adult Trichinella spiralis on ovalbumin-induced allergic rhinitis in mice]. ZHONGGUO XUE XI CHONG BING FANG ZHI ZA ZHI = CHINESE JOURNAL OF SCHISTOSOMIASIS CONTROL 2019; 31:504-509. [PMID: 31713379 DOI: 10.16250/j.32.1374.2019069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To investigate the protective effect of excretory-secretory protein (AES) from adult Trichinella spiralis on ovalbumin (OVA)-induced allergic rhinitis in mice. METHODS Eighteen female BALB/c mice were randomly divided into three groups, including the blank control group (Group A), OVA-induced rhinitis group (Group B) and AES treatment group (Group C). Mice in Group A were given PBS. Mice in Group B were intraperitoneally injected with antigen adjuvant suspension for systemic sensitization, once every other day for seven times; then, local excitation was intranasally induced with 5% OVA solution once a day for seven times to establish a mouse model of allergic rhinitis. In addition to induction of allergic rhinitis, mice in Group C were given 25 μg AES at baseline sensitization and local excitation. Following the final challenge, mice were observed for 30 min in each group, and the behavioral score was evaluated. The serum levels of IFN-γ, IL-4, IL-5, IL-10 and TGF-β were determined using an enzyme-linked immunosorbent assay in mice, and the pathological changes of mouse nasal mucosa were observed under a microscope. RESULTS There was a significant difference in the mouse behavioral scores among the three groups (F = 110.12, P < 0.01). The mouse behavioral score was significantly higher in Group B than in Group A (7.17 ± 0.75 vs. 1.33 ± 0.52, P < 0.01), and more remarkable pathological damages of mouse nasal mucosa were seen in Group B than in Group A, while the mouse behavioral score was significantly decreased in Group C than in Group B (P < 0.01), and the pathological damages of mouse nasal mucosa remarkably alleviated in Group C relative to Group B. There was a significant difference in serum IFN-γ level among the three groups (F = 7.50, P < 0.01) and the serum IFN-γ level in Group B was significantly lower than in group A and C (both P < 0.05). There were significant differences in serum IL-4 (F = 470.81, P < 0.01) and IL-5 levels (F =68.20, P < 0.01) among the three groups, and significantly greater serum IL-4 and IL-5 levels were detected in Group B than in Group A (P < 0.01), while significantly lower serum IL-4 and IL-5 levels were detected in Group C than in Group B (P < 0.01). There were significant differences in serum IL-10 (F = 174.91, P < 0.01) and TGF-β levels (F = 9.39, P < 0.01) among the three groups, and significantly greater serum IL-10 and TGF-β levels were seen in Group C than in Group B (both P < 0.05). CONCLUSIONS T. spiralis AES has a remarkable protective activity against OVA-induced allergic rhinitis in mice.
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Yuan Y, Xu XY, Zheng HG, Hua BJ. Elevated miR-21 is associated with poor prognosis in non-small cell lung cancer: a systematic review and meta-analysis. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2019; 22:4166-4180. [PMID: 30024605 DOI: 10.26355/eurrev_201807_15410] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Increasing studies have investigated the prognostic value of high miR-21 expression in non-small cell lung cancer (NSCLC) with inconsistent results. We conducted this meta-analysis to explore whether the expression of miR-21 was associated with prognosis in NSCLC patients. MATERIALS AND METHODS We systematically searched Medline, EMBASE, Web of Science and Cochrane Library for relevant studies. Studies exploring the relationship between miR-21 expression and NSCLC prognosis and clinical pathology, and reporting enough data to get the hazard ratio (HR) and 95% confidence intervals (CIs), were included. Random- or fixed-effect models were employed to calculated pooled hazard ratios (HRs) or risk ratio and 95% confidence intervals (95% CIs). RESULTS A total of 28 eligible studies, including 24 for prognosis, 16 for clinicopathological features were identified. Our results revealed that elevated miR-21 was related to unfavorable overall survival (OS) in NSCLC (HR = 1.960, 95% CI = 1.510-2.554, p = 0.000). Similar results were found in disease-free survival, relapse-free survival, and cancer-special death. In a meta-analysis of clinical pathology, overexpressed miR-21 was significantly related to lung adenocarcinoma, larger tumor size, and advanced clinical stage. CONCLUSIONS Our meta-analysis suggested that miR-21 may function as an unfavorable biomarker of prognosis in NSCLC patients.
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Liu YL, Zheng YM, Luo JJ, Zhang W, Gao F, Yuan Y, Hao HJ. [Distribution characteristics and correlation analysis of antibody detection value in myasthenia gravis]. ZHONGHUA YI XUE ZA ZHI 2019; 99:3221-3226. [PMID: 31694116 DOI: 10.3760/cma.j.issn.0376-2491.2019.41.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Objective: To determine the factors affecting distribution and magnitude of antibody detection value in myasthenia gravis (MG). Methods: A total of 406 MG patients diagnosed at Department of Neurology, Peking University First Hospital from May 2015 to November 2017 were included.All of them exhibited muscle fatigue with decreased response in repetitive nerve stimulation test. There were 200 males and 206 females whose ages ranged from 2 to 85 years old. According to clinical classification of MG recommended by Myasthenia Gravis Foundation of America (MGFA), patients assigned to class I to class V included 200,140, 46, 15 and 5 cases, respectively. There were 33 cases of thymic hyperplasia and 63 cases of thymoma confirmed by radiological or pathological findings. Quantile plots and quantile regression model were used to determine the effects of age, gender and MGFA classification, thymus disease on acetylcholine receptors (AChR)antibody, acetylcholinesterase (AChE) antibody, Titin antibody, ryanodine receptor (RyR) antibody and muscle-specific tyrosine kinase (MuSK) antibody detection values detected by enzyme-linked immunosorbent assay (ELISA). Results: MGFA classification had effects on distribution of AChR antibody level. There was a positive correlation between age and AChR antibody level(P<0.05). Negative correlation was found between age and AChE, Titin and RyR antibody level (P<0.05). No significant correlation was shown between any factors and MuSK antibody level(P≥0.05). MGFA classification had a positive correlation with AChR antibody level (P<0.05) and no correlation with other antibody levels (P>0.05). Gender and thymus disease had no correlation with any tested antibody levels (P>0.05). Conclusion: MGFA classification has significant effects on distribution of AChR antibody level. Age and MGFA classification have positive correlation with AChR antibody level.
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Yuan Y, Yun Y, Lei L, Junsheng N, Weiping Z. Efficacy and safety of sorafenib following hepatic resection in patients with hepatocellular carcinoma: A meta-analysis. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz422.063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Liu Y, Zheng Y, Gang Q, Xie Z, Jin Y, Zhang X, Deng X, Hao H, Gao F, Zhang Z, Xiong H, Zhang W, Wang Z, Yuan Y. Perimysial microarteriopathy in dermatomyositis with anti‐nuclear matrix protein‐2 antibodies. Eur J Neurol 2019; 27:514-521. [PMID: 31571350 DOI: 10.1111/ene.14097] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2019] [Accepted: 09/27/2019] [Indexed: 01/19/2023]
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Gross N, Ferrarotto R, Nagarajan P, Bell D, El-Naggar A, Johnson J, Yuan Y, Glisson B, Wong M, Rosenthal D, Esmaeli B, Migden M, Wargo J, Weber R, Myers J. Phase II study of neoadjuvant cemiplimab prior to surgery in patients with stage III/IV (M0) cutaneous squamous cell carcinoma of the head and neck (CSCC-HN). Ann Oncol 2019. [DOI: 10.1093/annonc/mdz394.071] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Xu J, Shen L, Zhou Z, Li J, Bai C, Chi Y, Li Z, Xu N, Jia R, Li E, Liu T, Bai Y, Yuan Y, Li X, Wang X, Chen J, Ying J, Li J, Fan S, Su W. Efficacy and safety of surufatinib in patients with well-differentiated advanced extrapancreatic neuroendocrine tumors (NETs): Results from the randomized phase III study (SANET-ep). Ann Oncol 2019. [DOI: 10.1093/annonc/mdz394.073] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Liu J, Shao D, Cheng S, Guo F, Yuan Y, Hu K, Wang Z, Meng X, Jin X, Yun X, Chai X, Li H, Zhang Y, Zhang H, Ye M. Frequency of mutations in 21 hereditary breast and ovarian cancer susceptibility genes among 882 high-risk individuals. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz250.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Ji MF, Sheng W, Cheng WM, Ng MH, Wu BH, Yu X, Wei KR, Li FG, Lian SF, Wang PP, Quan W, Deng L, Li XH, Liu XD, Xie YL, Huang SJ, Ge SX, Huang SL, Liang XJ, He SM, Huang HW, Xia SL, Ng PS, Chen HL, Xie SH, Liu Q, Hong MH, Ma J, Yuan Y, Xia NS, Zhang J, Cao SM. Incidence and mortality of nasopharyngeal carcinoma: interim analysis of a cluster randomized controlled screening trial (PRO-NPC-001) in southern China. Ann Oncol 2019; 30:1630-1637. [PMID: 31373615 DOI: 10.1093/annonc/mdz231] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Previous mass screening studies have shown that IgA antibodies against Epstein-Barr Virus (EBV) can facilitate early detection of nasopharyngeal carcinoma (NPC), but the impact of EBV-antibody screening for NPC-specific mortality remains unknown. PATIENTS AND METHODS A prospective, cluster randomized, controlled trial for NPC screening (PRO-NPC-001) was conducted in 3 selected towns of Zhongshan City and 13 selected towns of Sihui City in southern China beginning in 2008. Serum samples of the screening group were tested for two previously selected anti-EBV antibodies. Subjects with serological medium risk were subsequently retested annually for 3 years, and those with serological high risk were referred to otorhinolaryngologists for diagnostic check-up. An interim analysis was carried out to evaluate the primary end points of the NPC-specific mortality and the early diagnostic rate, and the secondary end point of the NPC incidence, through linkage with the database of Zhongshan City. RESULTS Among 70 296 total subjects, 29 413 screened participants (41.8% of the total subjects) in the screening group and 50 636 in the control group, 153 (43.3 per 100 000 person-year), 62 (55.3 per 100 000 person-year) and 99 (33.1 per 100 000 person-year) NPC cases were identified. The early diagnostic rates of NPC were significantly higher in the participants (79.0%, P < 0.0001) and the screening group (45.9%, P < 0.0001) compared with the control group (20.6%). Although no differences were found between NPC-specific mortality of the screening group and the control group [relative risk (RR)= 0.82, 95% confidence interval (CI) 0.37-1.79], lower NPC-specific mortality was noticed among participants from the screening group versus the control group (RR = 0.22, 95% CI 0.09-0.49). CONCLUSION IgA antibodies against EBV can identify high-risk population and was effective in screening for early asymptomatic NPC. Although the mortality reduction was not significant in the primary end point, we noted encouraging evidence of a mortality reduction in screening participants in this interim analysis. CLINICAL TRIAL NUMBER NCT00941538.
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Yuan Y, Hu SN, Gao J, Yu Q, Hu YQ, Xu XY, Gao ZG, Zhang J, Zhang Z, Teng Y, Zhang LL. [Expression discordances and clinical values of ER, PR, HER-2 and Ki-67 in primary and metastatic breast cancer]. ZHONGHUA ZHONG LIU ZA ZHI [CHINESE JOURNAL OF ONCOLOGY] 2019; 41:681-685. [PMID: 31550858 DOI: 10.3760/cma.j.issn.0253-3766.2019.09.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the expression discordances of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor2 (HER-2) and Ki-67 in primary and metastatic breast cancer specimens and explore the clinical significances. Methods: Biopsies of metastatic lesions were performed in 203 patients with breast cancer recurrence and metastasis indicated by physical examination and/or imaging examination. We confirmed pathological properties and assessed the expressions of ER, PR, HER-2 and Ki-67 in primary and metastatic lesions, their relationships with prognosis were also analyzed. Results: Biopsy failed in 3 patients, the pathology and immunohistochemitry results of metastatic lesions were not obtained. One person was diagnosed as tuberculosis and another was primary lung cancer. Among the 198 cases of primary and metastatic lesions, the discordance rates of ER, PR, HER-2 and Ki-67 were 27.3%, 34.3%, 11.8% and 15.1%, respectively.The expressions of ER, HER-2 and Ki-67 were not significantly different between the primary and metastatic lesions, however, the expressions of PR were more likely to turn negative in the metastases (P<0.001). The disease-free survival (DFS) of patients with ER, PR positive, HER-2 negative and low expression of Ki-67 in metastatic lesion was much longer (P<0.05). Conclusions: The expressions of ER, PR, HER-2 and Ki-67 in metastatic lesions are associated with the prognosis of breast cancer patients.Their expression discordances between primary and metastatic lesions can guide the treatment and evaluate the risks of recurrence and prognosis.
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Biernat J, Bloms J, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chang WL, Chelkov G, Chen DY, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen YB, Cheng W, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dai XC, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Dou ZL, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Fu Y, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huesken N, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang HL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Lenz T, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XH, Li XL, Li XN, Li XQ, Li ZB, Li ZY, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Lin YJ, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu Q, Liu SB, Liu T, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JD, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo PW, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma XN, Ma XX, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Shi XD, Song JJ, Song QQ, Song XY, Sosio S, Sowa C, Spataro S, Sui FF, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Thoren V, Tsednee B, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HH, Wang K, Wang LL, Wang LS, Wang M, Wang MZ, Wang M, Wang PL, Wang RM, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen HW, Wen SP, Wiedner U, Wilkinson G, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xing TY, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu W, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang SL, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan XQ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SF, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng Y, Zheng YH, Zhong B, Zhou L, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Complete Measurement of the Λ Electromagnetic Form Factors. PHYSICAL REVIEW LETTERS 2019; 123:122003. [PMID: 31633986 DOI: 10.1103/physrevlett.123.122003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 06/26/2019] [Indexed: 06/10/2023]
Abstract
The exclusive process e^{+}e^{-}→ΛΛ[over ¯], with Λ→pπ^{-} and Λ[over ¯]→p[over ¯]π^{+}, has been studied at sqrt[s]=2.396 GeV for measurement of the timelike Λ electric and magnetic form factors, G_{E} and G_{M}. A data sample, corresponding to an integrated luminosity of 66.9 pb^{-1}, was collected with the BESIII detector for this purpose. A multidimensional analysis with a complete decomposition of the spin structure of the reaction enables a determination of the modulus of the ratio R=|G_{E}/G_{M}| and, for the first time for any baryon, the relative phase ΔΦ=Φ_{E}-Φ_{M}. The resulting values are R=0.96±0.14(stat)±0.02(syst) and ΔΦ=37°±12°(stat)±6°(syst), respectively. These are obtained using the recently established and most precise value of the asymmetry parameter α_{Λ}=0.750±0.010 measured by BESIII. In addition, the cross section is measured with unprecedented precision to be σ=118.7±5.3(stat)±5.1(syst) pb, which corresponds to an effective form factor of |G|=0.123±0.003(stat)±0.003(syst). The contribution from two-photon exchange is found to be negligible. Our result enables the first complete determination of baryon timelike electromagnetic form factors.
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Ablikim M, Achasov MN, Ahmed S, Albrecht M, Alekseev M, Amoroso A, An FF, An Q, Bai JZ, Bai Y, Bakina O, Baldini Ferroli R, Ban Y, Begzsuren K, Bennett JV, Berger N, Bertani M, Bettoni D, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen SJ, Chen XR, Chen YB, Cheng W, Chu XK, Cibinetto G, Cossio F, Cui XF, Dai HL, Dai JP, Dbeyssi A, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao Y, Gao YG, Gao Z, Garillon B, Garzia I, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guo AQ, Guo RP, Guo YP, Guskov A, Han S, Hao XQ, Harris FA, He KL, He XQ, Heinsius FH, Held T, Heng YK, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang ZL, Hussain T, Ikegami Andersson W, Imoehl W, Irshad M, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khan T, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kurth M, Kurth MG, Kühn W, Lange JS, Larin P, Lavezzi L, Leithoff H, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li JW, Li J, Li KJ, Li K, Li K, Li LK, Li L, Li PL, Li PR, Li QY, Li WD, Li WG, Li XL, Li XN, Li XQ, Li ZB, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Lin CX, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu DY, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu KY, Liu K, Liu LD, Liu Q, Liu SB, Liu X, Liu XY, Liu YB, Liu ZA, Liu Z, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Maldaner S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min J, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Mustafa A, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Papenbrock M, Patteri P, Pelizaeus M, Pellegrino J, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi M, Qi TY, Qian S, Qiao CF, Qin N, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Redmer CF, Richter M, Ripka M, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sarantsev A, Savrié M, Schoenning K, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi X, Song JJ, Song XY, Sosio S, Sowa C, Spataro S, Sun GX, Sun JF, Sun L, Sun SS, Sun XH, Sun YJ, Sun YK, Sun YZ, Sun ZJ, Sun ZT, Tan YT, Tang CJ, Tang GY, Tang X, Tsednee B, Uman I, Wang B, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang M, Wang P, Wang PL, Wang WP, Wang XL, Wang Y, Wang YF, Wang Z, Wang ZG, Wang ZY, Wang Z, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia Y, Xiao SY, Xiao YJ, Xiao ZJ, Xie YG, Xie YH, Xiong XA, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu XP, Yan F, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang RX, Yang YH, Yang YX, Yang Y, Yang ZQ, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang TJ, Zhang XY, Zhang Y, Zhang YH, Zhang YT, Zhang Y, Zhang Y, Zhang Y, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhou X, Zhou X, Zhu AN, Zhu J, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Amplitude Analysis of D_{s}^{+}→π^{+}π^{0}η and First Observation of the W-Annihilation Dominant Decays D_{s}^{+}→a_{0}(980)^{+}π^{0} and D_{s}^{+}→a_{0}(980)^{0}π^{+}. PHYSICAL REVIEW LETTERS 2019; 123:112001. [PMID: 31573268 DOI: 10.1103/physrevlett.123.112001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 06/25/2019] [Indexed: 06/10/2023]
Abstract
We present the first amplitude analysis of the decay D_{s}^{+}→π^{+}π^{0}η. We use an e^{+}e^{-} collision data sample corresponding to an integrated luminosity of 3.19 fb^{-1} collected with the BESIII detector at a center-of-mass energy of 4.178 GeV. We observe for the first time the W-annihilation dominant decays D_{s}^{+}→a_{0}(980)^{+}π^{0} and D_{s}^{+}→a_{0}(980)^{0}π^{+}. We measure the absolute branching fraction B(D_{s}^{+}→a_{0}(980)^{+(0)}π^{0^{(}+)},a_{0}(980)^{+(0)}→π^{+(0)}η)=(1.46±0.15_{stat}±0.23_{sys})%, which is larger than the branching fractions of other measured pure W-annihilation decays by at least one order of magnitude. In addition, we measure the branching fraction of D_{s}^{+}→π^{+}π^{0}η with significantly improved precision.
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Zhang LJ, Jin N, Wang Q, Zhang XS, Zhu WQ, Jiao YZ, Yuan Y, Li JS, Meng L. [Study on clinical classification of Japanese encephalitis by Bayes discriminant analysis]. ZHONGHUA LIU XING BING XUE ZA ZHI = ZHONGHUA LIUXINGBINGXUE ZAZHI 2019; 40:1164-1167. [PMID: 31594166 DOI: 10.3760/cma.j.issn.0254-6450.2019.09.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Objective: To construct Bayes discriminant function for clinical classification of common and severe Japanese encephalitis (JE) cases, and to identify cases accurately with quantitative indicators. Methods: Samples of confirmed common and severe JE cases reported by the epidemic surveillance system of Gansu Provincial Center for Disease Control and Prevention from 2005 to 2017 were collected. Non-conditional logistic regression analysis and Bayes stepwise discriminant analysis were used to screen meaningful clinical indicators, so as to construct and evaluate Bayes discriminant function. Results: There were 256 common JE cases and 257 severe JE cases. There were no significant differences in sex, age and occupation distributions between the two groups (P>0.05) and there was significant difference in case fatality rate (P<0.05). Non-conditional logistic regression analysis and Bayes stepwise discriminant analysis, combined with using related literature, to screen 11 clinical indicators for the construction of Bayes discriminant function. Interactive validation showed that the sensitivity of discriminant function was 71.48% (95%CI: 65.53%-76.93%) and the specificity was 73.93% (95%CI: 68.11%-79.19%). The area under ROC curve was 0.761 (95%CI: 0.720-0.803) and the total accuracy rate was 72.71%. Conclusion: Bayes discriminant function can be used to identify common and severe JE cases more accurately, which is helpful for the reasonable treatment and good prognosis of JE patients.
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Wang Z, Yuan Y, Xu C, Liu Y. P11.30 Special VEGF90kDa form in exosome from GBM cells activates TAZ in endothelial cells to promote angiogenesis and contributes bevacizumab resistance. Neuro Oncol 2019. [DOI: 10.1093/neuonc/noz126.176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
BACKGROUND
Glioblastoma (GBM) has obvious blood vessels proliferation, which is one of the important histological diagnostic criteria. Bevacizumab, VEGF targeted inhibitor, is found inefficient in 2/3 cases after the clinical trial. Here, we found a specific 90kDa form of VEGF (VEGF90K) in exosomes of GBM could activate TAZ expression in endothelial cells to promote angiogenesis, which might also contribute to Bevacizumab treatment resistance.
MATERIAL AND METHODS
Exosomes were isolated from U87, LN229 GBM cell culture medium and characterized using transmission electron microscopy, nanoparticle analysis, and western blotting. VEGF expression in GBM and TAZ expression in human umbilical vein endothelial cells (HUVEC) are inhibited by shRNA. In vitro migration, proliferation, and tube formation assays were used to assess the angiogenic potential of HUVEC cells. Western blotting was used to analysis TAZ expression in HUVEC. Bevacizumab or exosome inhibitor GW4869 were used separately or together to evaluation their blocking effects on angiogenic functions of GBM cells.
RESULTS
we found a unique 90kDa form of VEGF (VEGF90K) from exosome of GBM cells could activate TAZ expression in HUVEC cells which correlated with higher levels of cellular migration, proliferation, and tube formation. Knockdown VEGF expression in GBM exosomes or TAZ expression in HUVEC cells could decrease the angiogenic function of GBM cells. GW4869 combine Bevacizumab had significantly inhibited the angiogenic ability of GBM cells in vivo and in vitro.
CONCLUSION
A specific exosome-associated VEGF from GBM can promote angiogenesis by activating TAZ expression in endothelial cells. Targeted inhibition of exosome secretion can significantly inhibit tumor angiogenesis and restore bevacizumab effect. Our study highlights the unique properties of VEGF in exosome which might help to explore new treatment strategies of GBM.
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Chang E, Chin W, Levin-Epstein R, Parikh N, van Dams R, Yuan Y, Cao M, Kishan A, Steinberg M, Venkat P, Shaverdian N. Assessment of the Impact of an Interprofessional Curriculum on Radiation Therapy Knowledge in Radiation Oncology Nursing Staff. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.2197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Cui P, Li Y, Zhou CC, Zhou YH, Song CL, Qiu Q, Wang F, Guo C, Han SJ, Liang L, Yuan Y, Zeng MY, Yue J, Long L, Qin XH, Li Z, Chen XL, Zou YP, Cheng YB, Yu HJ. [Clinical analysis of 555 outpatients with hand, foot and mouth diseases caused by different enteroviruses]. ZHONGHUA ER KE ZA ZHI = CHINESE JOURNAL OF PEDIATRICS 2019; 57:445-451. [PMID: 31216802 DOI: 10.3760/cma.j.issn.0578-1310.2019.06.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To study the clinical characteristics of outpatients with hand, foot and mouth disease (HFMD) caused by different serotypes of enteroviruses. Methods: This was a prospective study. From February 2017 to March 2018, 563 outpatients with HFMD were enrolled by systematic sampling in the Department of Infectious Diseases, Henan Children's Hospital. Throat swabs were collected to determine the serotypes via PCR. Demographic, clinical, and laboratory data were collected by standard questionnaire. All cases were followed up twice at 2 and 9 weeks after the initial outpatient visit through telephone interview. A total of 563 cases were enrolled and 555 (98.6%) cases were positive for human enteroviruses, including 338 (60.9%) males. Analyses were stratified by enterovirus serotypes, Chi square test or Fisher's exact test, Rank sum test was used for comparison among different groups. Results: The age of 555 cases was 24.2 (16.4, 41.3) months. Among them 44.0% (224 cases) were identified as coxsackievirus (CV)-A6, while 189 cases, 35 cases, 14 cases and 73 cases were identified as CV-A16, enterovirus (EV)-A71, CV-A10 and other serotypes, respectively. Fever (≥37.5 ℃) was present in 51.4% (285/555) of laboratory confirmed cases. The proportions of fever in cases of CV-A6 (68.9%(168/244)) and CV-A10 (12/14) were significantly higher than those in cases of CV-A16 (31.7%(60/189),χ(2)=57.344,14.313,both P=0.000), other serotypes (43.8%(32/73),χ(2)=15.101 and 8.242, P=0.000 and 0.004) and EV-A71 (37.1%(13/35), χ(2)=13.506 and 9.441, P=0.000 and 0.002) respectively. There was no significant difference between CV-A6 and CV-A10 in presentation of fever (χ(2)=1.785, P=0.182). There were 359 cases (64.7%) with eruptions in mouth, hands, feet and buttocks. Cases infected with EV-A71 had the highest proportions (74.3%(26/35)) of rash emerging simultaneously in mouth, hands, feet, and buttocks. The proportion in cases of CV-A16, CV-A6, CVA10 and other serotype were 73.5% (139/189), 61.9% (151/244), 7/14 and 49.3% (36/73), respectively. The proportion of rash on other parts of body, such as face, limbs or torso in cases infected with CV-A6 (16.8% (41/244)) was the higherest and the proportion in cases of CV-A16, EV-A71, CV-A10 or other serotypes were 8.5% (16/189) , 5.7% (2/35) , 1/14, 6.8% (5/73) , respectively. None of these cases developed serious complications. Desquamation occurred in 45.5% (179/393) cases 7.5 (5.0, 9.0) days after disease onset and 13.5% (53/393) cases showed onychomadesis 31.0 (18.0, 33.5) days after disease onset. The proportion of desquamation and onychomadesis associated with CV-A6 (64.2% (95/148) and 31.8% (47/148)) was significantly higher than CV-A16 (31.8% (49/154) and 1.3% (2/154), χ(2)=33.601 and 52.482, both P=0.000) and other serotypes (38.0%(19/50) and 6.0%(3/50),χ(2)=10.236 and 12.988, P=0.001 and 0.000). Desquamation appeared more in cases of CV-A6 than in cases of CV-A10 (2/11,χ(2)=9.386, P=0.002), with the proportion of onychomadesis higher in CV-A6 than in EV-A71 (3.3% (1/30),χ(2)=11.088, P=0.001). Conclusion: Clinical manifestation such as fever, rash emerging parts, desquamation and onychomadesis are different among outpatient HFMD cases infected with CV-A16, CV-A6, EV-A71, CV-A10 and other enteroviruses.
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Yuan Y, Li GY, Ji M, Zhang Y, Ding YP, Qi XC. Suppressor of cytokine signaling 1 (SOCS1) silencing and Hep-2 sensitizing dendritic cell vaccine in laryngocarcinoma immunotherapy. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2019; 23:5958-5966. [PMID: 31298347 DOI: 10.26355/eurrev_201907_18342] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Many studies have recently suggested that dendritic cell (DC) vaccine contributes to the immunotherapy of various types of human tumors. It has been proved that the tumor antigen sensitizing and the gene silencing are effective methods for the preparation of the DC vaccines. The aim of this study is to investigate the specific anti-laryngocarcinoma immune response for the suppression of cytokine signaling1 (SOCS1) silencing and Hep-2 sensitizing DC. MATERIALS AND METHODS The dendritic cells derived from peripheral blood mononuclear cells were induced by cytokines GM-CSF, IL-4, and TNF-α in vitro, and the morphological characteristics of dendritic cells were observed under a microscope, indicating that they successfully differentiated into dendritic cells. The RNA interference vector was used to transfect dendritic cells. The expression of SOCS1 was detected by Western blot and the effective target sequence for inhibiting the expression of SOCS1 was screened. The expressions of CD83, CD86, and HLA-DR on dendritic cells were detected by flow cytometry. The content of IFN-γ in the supernatant was analyzed by enzyme-linked immunosorbent assay (ELISA). Methyl thiazolyl tetrazolium (MTT) was used to evaluate the ability of dendritic cells to stimulate T cell proliferation and induce the killing activity of cytotoxic T cells. RESULTS The result of PCR and Western blot analysis shows that the expression of SOCS1 significantly decreased under the influence of the 5th interference sequence. The flow cytometric analysis results show that SOCS1 silencing and Hep-2 sensitizing dendritic cells had high expressions of CD83 (85.61±0.96)%, CD86 (96.86±1.20)%, and HLA-DR (98.02±0.94)%. The DC vaccine could increase the production of IFN-γ according to the ELISA assay results. The MTT assay results show that the DC vaccine could also stimulate the proliferation of the T cells and effectively and eventually enhance the specific killing effect of CTL. CONCLUSIONS SOCS1 silencing and Hep-2 sensitizing DC vaccine could induce an effective and specific anti-laryngocarcinoma immune response.
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