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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fritsch M, Fu CD, Gao H, Gao YN, Gao Y, Garzia I, Ge PT, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Plura S, Pogodin S, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Rump M, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao QT, Teng JX, Thoren V, Tian WH, Tian YT, Uman I, Wang B, Wang DY, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang YY, Wang Y, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu Z, Xia L, Xiang T, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu QJ, Xu SY, Xu XP, Xu YC, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HX, Yang L, Yang SL, Yang YX, Yang Y, Yang Z, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu TJ, Zhu WJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. First Observation of the Direct Production of the χ_{c1} in e^{+}e^{-} Annihilation. PHYSICAL REVIEW LETTERS 2022; 129:122001. [PMID: 36179210 DOI: 10.1103/physrevlett.129.122001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 06/22/2022] [Accepted: 07/26/2022] [Indexed: 06/16/2023]
Abstract
We study the direct production of the J^{PC}=1^{++} charmonium state χ_{c1}(1P) in electron-positron annihilation by carrying out an energy scan around the mass of the χ_{c1}(1P). The data were collected with the BESIII detector at the BEPCII collider. An interference pattern between the signal process e^{+}e^{-}→χ_{c1}(1P)→γJ/ψ→γμ^{+}μ^{-} and the background processes e^{+}e^{-}→γ_{ISR}J/ψ→γ_{ISR}μ^{+}μ^{-} and e^{+}e^{-}→γ_{ISR}μ^{+}μ^{-} is observed by combining all the data samples. The χ_{c1}(1P) signal is observed with a significance of 5.1σ. This is the first observation of a C-even state directly produced in e^{+}e^{-} annihilation. The electronic width of the χ_{c1}(1P) resonance is determined to be Γ_{ee}=(0.12_{-0.08}^{+0.13}) eV, which is of the same order of magnitude as theoretical calculations.
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Ablikim M, Achasov MN, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen SM, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Chu X, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang WX, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fritzsch C, Fu CD, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu H, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Prasad V, Qi FZ, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Qu SQ, Rashid KH, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Ruan SN, Sang HS, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi JY, Shi QQ, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao LY, Tao QT, Tat M, Teng JX, Thoren V, Tian WH, Tian Y, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YD, Wang YF, Wang YH, Wang YQ, Wang Y, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YJ, Wu Z, Xia L, Xiang T, Xiao D, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu XP, Xu YC, Xu ZP, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HL, Yang HX, Yang L, Yang SL, Yang T, Yang YF, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang DH, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JX, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Evidence for a Neutral Near-Threshold Structure in the K_{S}^{0} Recoil-Mass Spectra in e^{+}e^{-}→K_{S}^{0}D_{s}^{+}D^{*-} and e^{+}e^{-}→K_{S}^{0}D_{s}^{*+}D^{-}. PHYSICAL REVIEW LETTERS 2022; 129:112003. [PMID: 36154413 DOI: 10.1103/physrevlett.129.112003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/17/2022] [Accepted: 06/30/2022] [Indexed: 06/16/2023]
Abstract
We study the processes e^{+}e^{-}→K_{S}^{0}D_{s}^{+}D^{*-} and e^{+}e^{-}→K_{S}^{0}D_{s}^{*+}D^{-}, as well as their charge conjugated processes, at five center-of-mass energies between 4.628 and 4.699 GeV, using data samples corresponding to an integrated luminosity of 3.8 fb^{-1} collected by the BESIII detector at the BEPCII storage ring. Based on a partial reconstruction technique, we find evidence of a structure near the thresholds for D_{s}^{+}D^{*-} and D_{s}^{*+}D^{-} production in the K_{S}^{0} recoil-mass spectrum, which we refer to as the Z_{cs}(3985)^{0}. Fitting with a Breit-Wigner line shape, we find the mass of the structure to be (3992.2±1.7±1.6) MeV/c^{2} and the width to be (7.7_{-3.8}^{+4.1}±4.3) MeV, where the first uncertainties are statistical and the second are systematic. The significance of the Z_{cs}(3985)^{0} signal is found to be 4.6σ including both the statistical and systematic uncertainty. We report the Born cross section multiplied by the branching fraction at different energy points. The mass of the Z_{cs}(3985)^{0} is close to that of the Z_{cs}(3985)^{+}. Assuming SU(3) symmetry, the cross section of the neutral channel is consistent with that of the charged one. Hence, we conclude that the Z_{cs}(3985)^{0} is the isospin partner of the Z_{cs}(3985)^{+}.
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Ablikim M, Achasov MN, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An MR, An Q, Bai XH, Bai Y, Bakina O, Baldini Ferroli R, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen C, Chen G, Chen HS, Chen ML, Chen SJ, Chen T, Chen XR, Chen XT, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Cui JJ, Dai HL, Dai JP, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Egorov P, Fan YL, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Feng JH, Fischer K, Fritsch M, Fu CD, Gao H, Gao YN, Gao Y, Garbolino S, Garzia I, Ge PT, Ge ZW, Geng C, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Han WY, Hao XQ, Harris FA, He KK, He KL, Heinsius FH, Heinz CH, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou GY, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang KX, Huang LQ, Huang LQ, Huang XT, Huang YP, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Ji YY, Jia ZK, Jiang HB, Jiang SS, Jiang XS, Jiang Y, Jiao JB, Jiao Z, Jin S, Jin Y, Jing MQ, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu OB, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane JJ, Lange JS, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li H, Li HB, Li HJ, Li HN, Li JQ, Li JS, Li JW, Li K, Li LJ, Li LK, Li L, Li MH, Li PR, Li SX, Li SY, Li T, Li WD, Li WG, Li XH, Li XL, Li X, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Lin CX, Lin DX, Lin T, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu GM, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JL, Liu JY, Liu K, Liu KY, Liu K, Liu L, Liu L, Liu MH, Liu PL, Liu Q, Liu SB, Liu T, Liu WK, Liu WM, Liu X, Liu Y, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JG, Lu XL, Lu Y, Lu YP, Lu ZH, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Lyu YF, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XY, Ma Y, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Miao H, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu Y, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Plura S, Pogodin S, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qian Z, Qiao CF, Qin JJ, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Rashid KH, Ravindran K, Redmer CF, Ren KJ, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan KY, Shan W, Shan XY, Shangguan JF, Shao LG, Shao M, Shen CP, Shen HF, Shen XY, Shi BA, Shi HC, Shi RS, Shi X, Shi XD, Song JJ, Song WM, Song YX, Sosio S, Spataro S, Stieler F, Su KX, Su PP, Su YJ, Sun GX, Sun H, Sun HK, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun X, Sun YJ, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Tao LY, Tao QT, Teng JX, Thoren V, Tian WH, Tian Y, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang F, Wang HJ, Wang HP, Wang K, Wang LL, Wang M, Wang MZ, Wang M, Wang S, Wang S, Wang T, Wang TJ, Wang W, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang YD, Wang YF, Wang YH, Wang YQ, Wang Z, Wang ZY, Wang Z, Wei DH, Weidner F, Wen SP, White DJ, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu XH, Wu Y, Wu YJ, Wu Z, Xia L, Xiang T, Xiao GY, Xiao H, Xiao SY, Xiao YL, Xiao ZJ, Xie C, Xie XH, Xie Y, Xie YG, Xie YH, Xie ZP, Xing TY, Xu CF, Xu CJ, Xu GF, Xu HY, Xu QJ, Xu XP, Xu YC, Xu ZP, Yan F, Yan L, Yan WB, Yan WC, Yang HJ, Yang HL, Yang HX, Yang L, Yang SL, Yang YX, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan SC, Yuan XQ, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng FR, Zeng X, Zeng Y, Zhan YH, Zhang AQ, Zhang BL, Zhang BX, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang LM, Zhang LQ, Zhang L, Zhang P, Zhang QY, Zhang S, Zhang S, Zhang XD, Zhang XM, Zhang XY, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZH, Zhang ZY, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhong X, Zhou H, Zhou LP, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhou YZ, Zhu J, Zhu K, Zhu KJ, Zhu LX, Zhu SH, Zhu SQ, Zhu TJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Observation of Resonance Structures in e^{+}e^{-}→π^{+}π^{-}ψ_{2}(3823) and Mass Measurement of ψ_{2}(3823). PHYSICAL REVIEW LETTERS 2022; 129:102003. [PMID: 36112441 DOI: 10.1103/physrevlett.129.102003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/21/2022] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
Using a data sample corresponding to an integrated luminosity of 11.3 fb^{-1} collected at center-of-mass energies from 4.23 to 4.70 GeV with the BESIII detector, we measure the product of the e^{+}e^{-}→π^{+}π^{-}ψ_{2}(3823) cross section and the branching fraction B[ψ_{2}(3823)→γχ_{c1}]. For the first time, resonance structure is observed in the cross section line shape of e^{+}e^{-}→π^{+}π^{-}ψ_{2}(3823) with significances exceeding 5σ. A fit to data with two coherent Breit-Wigner resonances modeling the sqrt[s]-dependent cross section yields M(R_{1})=4406.9±17.2±4.5 MeV/c^{2}, Γ(R_{1})=128.1±37.2±2.3 MeV, and M(R_{2})=4647.9±8.6±0.8 MeV/c^{2}, Γ(R_{2})=33.1±18.6±4.1 MeV. Though weakly disfavored by the data, a single resonance with M(R)=4417.5±26.2±3.5 MeV/c^{2}, Γ(R)=245±48±13 MeV is also possible to interpret data. This observation deepens our understanding of the nature of the vector charmoniumlike states. The mass of the ψ_{2}(3823) state is measured as (3823.12±0.43±0.13) MeV/c^{2}, which is the most precise measurement to date.
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Jin Y, Han Y, Zhang L, Jin Y, Sun H. 402P Updated results from the multicenter phase II, ALTER-C001 trial: Efficacy and safety of anlotinib plus XELOX regimen as first-line treatment followed by maintenance monotherapy of anlotinib for patients with mCRC. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Liu J, Sun H, Meng Y, Ye X, Li S, Han Y, Ge J, Yang H, Liang J, Kong F. EP05.01-015 Validate Radiomics Features and XGBoost Model in Radiation Pneumonitis (RP) Prediction in Patients with Primary Lung Cancer: A MultiCenter Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Lou JQ, Li Q, Cui QW, Zhang P, Sun H, Tang H, Zhuang MM, Sun Y. [A prospective randomized controlled study on the curative effects of enteral immunonutrition support therapy in adult burn patients at nutritional risk]. ZHONGHUA SHAO SHANG YU CHUANG MIAN XIU FU ZA ZHI 2022; 38:722-734. [PMID: 36058695 DOI: 10.3760/cma.j.cn501225-20220327-00094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To explore the effects of enteral immunonutrition support therapy on nutritional metabolism, immune function, and inflammatory response in adult burn patients at nutritional risk as assessed by the modified 2nd nutrition risk screening (NRS) 2002. Methods: A prospective randomized controlled study was conducted. From December 2019 to January 2022, 500 adult patients who were admitted to the Affiliated Huaihai Hospital of Xuzhou Medical University and had nutritional risk assessed by the modified 2nd NRS 2002 were recruited into the study. According to burn severity, the patients were divided into common burn patients (n=450) and severe burn patients (n=50). According to the random number table, the patients with common burn were divided into common burn diet nutrition group and common burn diet enteral immunonutrition group, with 225 patients in each group, and the patients with severe burn were divided into severe burn diet enteral non-immunonutrition group and severe burn diet enteral immunonutrition group, with 25 patients in each group. The patients in each group were given the corresponding nutritional support therapies on the basis of routine burn treatment. On post injury day (PID) 1, 3, 7, 14, and 21, the total energy intake and total protein intake of the patients in 4 groups were recorded, the plasma prealbumin, albumin, transferrin, serum immunoglobulin A (IgA), IgG, IgM, peripheral blood CD3 positive T cell percentage, CD4 positive T cell count, CD8 positive T cell count, the ratio of CD4 positive T cells to CD8 positive T cells, natural killer cell percentage, plasma interleukin-6 (IL-6), free mitochondrial DNA (mtDNA) copy number, and soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) of the patients in 4 groups were detected, and the nitrogen balance of the patients in 4 groups on the day was calculated. On PID 7, 14, and 21, the modified 2nd NRS 2002 scores of the patients in 4 groups were reassessed. The sepsis incidence during treatment and the length of hospital stay of the patients in 4 groups and the length of intensive care unit (ICU) stay of the patients in the 2 severe burn groups were recorded. Data were statistically analyzed with chi-square test, Fisher's exact probability test, Mann-Whitney U test, independent sample t test, analysis of variance for repeated measurement, and Bonferroni correction. Results: A total of 476 patients completed the trial, with 213 patients in common burn diet nutrition group (112 males and 101 females, aged (37±19) years), 218 patients in common burn diet enteral immunonutrition group (115 males and 103 females, aged (42±16) years), 22 patients in severe burn diet enteral non-immunonutrition group (11 males and 11 females, aged (35±8) years), and 23 patients in severe burn diet enteral immunonutrition group (12 males and 11 females, aged (35±8) years). Compared with those in common burn diet nutrition group, the patients in common burn diet enteral immunonutrition group had significantly higher total energy intake on PID 1 (t=6.06, P<0.01), significantly lower total energy intake on PID 7 and significantly lower total protein intake on PID 1 (with t values of 6.17 and 4.59, respectively,P<0.01). On PID 21, the total energy intake of patients in severe burn diet enteral immunonutrition group was significantly lower than that in severe burn diet enteral non-immunonutrition group (t=2.70, P<0.01). The total protein intake of patients in severe burn diet enteral immunonutrition group and severe burn diet enteral non-immunonutrition group were similar at each time point post injury (P>0.05). Compared with those in common burn diet nutrition group, the patients in common burn diet enteral immunonutrition group had significantly higher level of prealbumin on PID 3, 7, 14, and 21 (with t values of 2.05, 2.33, 2.45, and 2.11, respectively, P<0.05), significantly higher level of albumin on PID 7, 14, and 21 (with t values of 2.30, 2.56, and 2.15, respectively, P<0.05), significantly higher level of transferrin on PID 7 and 14 (with t values of 1.99 and 2.27, respectively, P<0.05), significantly higher nitrogen balance on PID 14 and 21 (with t values of 2.51 and 2.07, respectively, P<0.05), and significantly lower modified 2nd NRS 2002 score on PID 21 (t=1.99, P<0.05). Compared with those in severe burn diet enteral non-immunonutrition group, the patients in severe burn diet enteral immunonutrition group had significantly higher level of prealbumin on PID 3, 7, 14, and 21 (with t values of 2.50, 2.64, 2.18, and 2.39, respectively, P<0.05), significantly higher level of albuminon PID 7, 14, and 21 (with t values of 2.27, 2.39, and 2.69, respectively, P<0.05), significantly higher level of transferrin and nitrogen balance but significantly lower modified 2nd NRS 2002 score on PID 14 and 21 (with t values of 2.30, 2.35, 2.41, 2.16, 2.31, and 2.73, respectively, P<0.05). Compared with those in common burn diet nutrition group, patients in common burn diet enteral immunonutrition group had significantly higher level of IgA and IgG on PID 7, 14, and 21 (with t values of 2.19, 2.36, 2.17, 2.49, 1.97, and 2.24, respectively, P<0.05), significantly higher level of IgM on PID 21 (t=2.06, P<0.05), significantly higher percentage of CD3 positive T cells and ratio of CD4 positive T cells to CD8 positive T cells on PID 3, 7, 14, and 21 (with t values of 2.49, 2.25, 2.33, 2.41, 2.39, 2.24, 2.46, and 2.18, respectively, P<0.05), significantly higher CD4 positive T cell count (with t values of 2.15 and 2.27, respectively, P<0.05) but significantly lower CD8 positive T cell count on PID 14 and 21 (with t values of 2.58 and 2.35, P<0.05), and significantly higher percentage of natural killer cells on PID 7, 14, and 21 (with t values of 2.53, 2.21, and 2.36, respectively, P<0.05). Compared with those in severe burn diet enteral non-immunonutrition group, patients in severe burn diet immunonutrition group had significantly higher level of IgA on PID 7 and 14 (with t values of 2.15 and 2.03, respectively, P<0.05), significantly higher level of IgG on PID 7, 14, and 21 (with t values of 2.09, 2.56, and 2.15, respectively, P<0.05), significantly higher level of IgM on PID 21 (t=2.08, P<0.05), significantly higher percentage of CD3 positive T cells, CD4 positive T cell count, and percentage of natural killer cells on PID 14 and 21 (with t values of 2.52, 2.14, 2.14, 2.39, 2.56, and 2.19, respectively, P<0.05), significantly lower CD8 positive T cell count but significantly higher ratio of CD4 positive T cells to CD8 positive T cells on PID 7, 14, and 21 (with t values of 2.27, 2.81, 2.01, 2.11, 2.69, and 2.05, respectively, P<0.05). Compared with those in common burn diet nutrition group, patients in common burn diet enteral immunonutrition group had significantly lower level of IL-6 (with t values of 2.34 and 2.32, respectively, P<0.05) and significantly lower free mtDNA copy number on PID 14 and 21 (with Z values of -2.28 and -2.34,respectively, P<0.05), significantly lower level of sTREM-1 on PID 7, 14, and 21 (with t values of 2.02, 2.94, and 3.72, respectively, P<0.05). Compared with those in severe burn diet enteral non-immunonutrition group, patients in severe burn diet enteral immunonutrition group had significantly lower level of IL-6 and sTREM-1 on PID 7, 14, and 21 (with t values of 2.15, 2.29, 2.47, 2.43, 2.07, and 2.32, respectively, P<0.05), and significantly lower free mtDNA copy number on PID 14 and 21 (with Z values of -2.49 and -2.21, respectively, P<0.05). During treatment, the sepsis incidences of patients in 2 common burn groups were similar (P>0.05), the sepsis incidences of patients in 2 severe burn groups were similar (P>0.05). The length of ICU stay of patients in severe burn diet enteral immunonutrition group was (11±3) d, which was significantly shorter than (14±3) d in severe burn diet enteral non-immunonutrition group (t=3.12, P<0.01). The length of hospital stay of patients in common burn diet enteral immunonutrition group was significantly shorter than that in common burn diet nutrition group (t=3.11, P<0.01). The length of hospital stay of patients in severe burn diet enteral non-immunonutrition group was similar to that in severe burn diet enteral immunonutrition group (P>0.05). Conclusions: Enteral immunonutrition support therapy for adult burn patients at nutritional risk assessed by the modified 2nd NRS 2002 can better improve the nutritional status and the immune function of patients, reduce inflammatory response of the body, and shorten the length of hospital stay in common burn patients and the length of ICU stay in severe burn patients.
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Pereira A, Pereira T, Perez CJ, Périgois C, Perkins CC, Perreca A, Perriès S, Petermann J, Petterson D, Pfeiffer HP, Pham KA, Phukon KS, Piccinni OJ, Pichot M, Piendibene M, Piergiovanni F, Pierini L, Pierro V, Pillant G, Pillas M, Pilo F, Pinard L, Pinto IM, Pinto M, Piotrzkowski K, Pirello M, Pitkin MD, Placidi E, Planas L, Plastino W, Pluchar C, Poggiani R, Polini E, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Poulton R, Powell J, Pracchia M, Pradier T, Prajapati AK, Prasai K, Prasanna R, Pratten G, Principe M, Prodi GA, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Quetschke V, Quitzow-James R, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail SX, Raja S, Rajan C, Ramirez KE, Ramirez TD, Ramos-Buades A, Rana J, Rapagnani P, Rapol UD, Ray A, Raymond V, Raza N, Razzano M, Read J, Rees LA, Regimbau T, Rei L, Reid S, Reid SW, Reitze DH, Relton P, Renzini A, Rettegno P, Rezac M, Ricci F, Richards D, Richardson JW, Richardson L, Riemenschneider G, Riles K, Rinaldi S, Rink K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rodriguez S, Rolland L, Rollins JG, Romanelli M, Romano R, Romel CL, Romero-Rodríguez A, Romero-Shaw IM, Romie JH, Ronchini S, Rosa L, Rose CA, Rosińska D, Ross MP, Rowan S, Rowlinson SJ, Roy S, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Sakellariadou M, Salafia OS, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez EJ, Sanchez JH, Sanchez LE, Sanchis-Gual N, Sanders JR, Sanuy A, Saravanan TR, Sarin N, Sassolas B, Satari H, Sathyaprakash BS, Sauter O, Savage RL, Sawant D, Sawant HL, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schiworski M, Schmidt P, Schmidt S, Schnabel R, Schneewind M, Schofield RMS, Schönbeck A, Schulte BW, Schutz BF, Schwartz E, Scott J, Scott SM, Seglar-Arroyo M, Sellers D, Sengupta AS, Sentenac D, Seo EG, Sequino V, Sergeev A, Setyawati Y, Shaffer T, Shahriar MS, Shams B, Sharma A, Sharma P, Shawhan P, Shcheblanov NS, Shikauchi M, Shoemaker DH, Shoemaker DM, ShyamSundar S, Sieniawska M, Sigg D, Singer LP, Singh D, Singh N, Singha A, Sintes AM, Sipala V, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smetana J, Smith JR, Smith RJE, Soldateschi J, Somala SN, Son EJ, Soni K, Soni S, Sordini V, Sorrentino F, Sorrentino N, Soulard R, Souradeep T, Sowell E, Spagnuolo V, Spencer AP, Spera M, Srinivasan R, Srivastava AK, Srivastava V, Staats K, Stachie C, Steer DA, Steinlechner J, Steinlechner S, Stevenson S, Stops DJ, Stover M, Strain KA, Strang LC, Stratta G, Strunk A, Sturani R, Stuver AL, Sudhagar S, Sudhir V, Suh HG, Summerscales TZ, Sun H, Sun L, Sunil S, Sur A, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Szewczyk P, Tacca M, Tait SC, Talbot CJ, Talbot C, Tanasijczuk AJ, Tanner DB, Tao D, Tao L, Martín ENTS, Taranto C, Tasson JD, Tenorio R, Terhune JE, Terkowski L, Thirugnanasambandam MP, Thomas M, Thomas P, Thompson JE, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toivonen AM, Toland K, Tolley AE, Tonelli M, Torres-Forné A, Torrie CI, E Melo IT, Töyrä D, Trapananti A, Travasso F, Traylor G, Trevor M, Tringali MC, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau RJ, Tsai DS, Tsai D, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tsutsui T, Turbang K, Turconi M, Ubhi AS, Udall RP, Ueno K, Unnikrishnan CS, Urban AL, Utina A, Vahlbruch H, Vajente G, Vajpeyi A, Valdes G, Valentini M, Valsan V, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, Vanosky J, van Remortel N, Vardaro M, Vargas AF, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venneberg J, Venugopalan G, Verkindt D, Verma P, Verma Y, Veske D, Vetrano F, Viceré A, Vidyant S, Viets AD, Vijaykumar A, Villa-Ortega V, Vinet JY, Virtuoso A, Vitale S, Vo T, Vocca H, von Reis ERG, von Wrangel JSA, Vorvick C, Vyatchanin SP, Wade LE, Wade M, Wagner KJ, Walet RC, Walker M, Wallace GS, Wallace L, Walsh S, Wang JZ, Wang WH, Ward RL, Warner J, Was M, Washington NY, Watchi J, Weaver B, Webster SA, Weinert M, Weinstein AJ, Weiss R, Weller CM, Wellmann F, Wen L, Weßels P, Wette K, Whelan JT, White DD, Whiting BF, Whittle C, Wilken D, Williams D, Williams MJ, Williamson AR, Willis JL, Willke B, Wilson DJ, Winkler W, Wipf CC, Wlodarczyk T, Woan G, Woehler J, Wofford JK, Wong ICF, Wu DS, Wysocki DM, Xiao L, Yamamoto H, Yang FW, Yang L, Yang Y, Yang Z, Yap MJ, Yeeles DW, Yelikar AB, Ying M, Yoo J, Yu H, Yu H, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhang Y, Zhao C, Zhao G, Zhao Y, Zhou R, Zhou Z, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J, Jeong D, Shandera S. Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO's and Advanced Virgo's Third Observing Run. PHYSICAL REVIEW LETTERS 2022; 129:061104. [PMID: 36018635 DOI: 10.1103/physrevlett.129.061104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 03/18/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2 M_{⊙} and 1.0 M_{⊙} in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend our previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio q≥0.1. We do not report any gravitational-wave candidates. The most significant trigger has a false alarm rate of 0.14 yr^{-1}. This implies an upper limit on the merger rate of subsolar binaries in the range [220-24200] Gpc^{-3} yr^{-1}, depending on the chirp mass of the binary. We use this upper limit to derive astrophysical constraints on two phenomenological models that could produce subsolar-mass compact objects. One is an isotropic distribution of equal-mass primordial black holes. Using this model, we find that the fraction of dark matter in primordial black holes in the mass range 0.2 M_{⊙}<m_{PBH}<1.0 M_{⊙} is f_{PBH}≡Ω_{PBH}/Ω_{DM}≲6%. This improves existing constraints on primordial black hole abundance by a factor of ∼3. The other is a dissipative dark matter model, in which fermionic dark matter can collapse and form black holes. The upper limit on the fraction of dark matter black holes depends on the minimum mass of the black holes that can be formed: the most constraining result is obtained at M_{min}=1 M_{⊙}, where f_{DBH}≡Ω_{DBH}/Ω_{DM}≲0.003%. These are the first constraints placed on dissipative dark models by subsolar-mass analyses.
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Wu Y, Bu X, Ke Y, Sun H, Li J, Chen L, Cui W, He Y, Wu L. Insight into the Stereocontrol of DNA Polymerase‐Catalysed Reaction by Chiral Cobalt Complexes. Adv Synth Catal 2022. [DOI: 10.1002/adsc.202200786] [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]
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Wang LJ, Xu Y, Sun H, Zhang BG, Kong XL, Han HT, Li J, Li YJ, Yang LM, Guo YH, Wang YB. [First report of invasive Pomacea snails in Shandong Province]. ZHONGGUO XUE XI CHONG BING FANG ZHI ZA ZHI = CHINESE JOURNAL OF SCHISTOSOMIASIS CONTROL 2022; 34:407-411. [PMID: 36116933 DOI: 10.16250/j.32.1374.2022115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To characterize the species of invasive Pomacea snails that were discovered for the first time in Shandong Province. METHODS Pomacea snails samples were collected in the field of Jining City, Shandong Province on October 2021 for morphological identification. Pomacea snails were randomly sampled and genomic DNA was extracted from foot muscle tissues of Pomacea snails for multiplex PCR amplification. The PCR amplification product was sequenced. Then, the sequence was aligned and a phylogenetic tree was created using the software MegAlign 7.1.0. In addition, Angiostongylus cantonensis infection was detected in Pomacea snails with the lung microscopy. RESULTS A total of 104 living Pomacea snails were collected, and all were characterized as Pomacea spp. based on morphological features. Of 12 randomly selected adult Pomacea snails, multiplex PCR assay and sequencing identified eleven snails as P. canaliculata and one as P. maculata. No A. cantonensis infection was detected in 104 Pomacea snails. CONCLUSIONS This is the first report of invasive Pomacea snails in Shandong Province, where P. canaliculata and P. maculata are found.
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Xu B, Sun H, Song X, Liu Q, Jin W. Mapping the Tumor Microenvironment in TNBC and Deep Exploration for M1 Macrophages-Associated Prognostic Genes. Front Immunol 2022; 13:923481. [PMID: 35844580 PMCID: PMC9279655 DOI: 10.3389/fimmu.2022.923481] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2022] Open
Abstract
Triple negative breast cancer (TNBC) remains the worst molecular subtype due to high heterogeneity and lack of effective therapeutic targets. Here we investigated the tumor and immune microenvironment heterogeneity of TNBC using scRNA-seq and bulk RNA-seq data from public databases and our cohort. Macrophage subpopulations accounted for a high proportion of tumor immune microenvironment (TIME), and M1 macrophages were associated with better clinical outcomes. Furthermore, three maker genes including IFI35, PSMB9, and SAMD9L showed a close connection with M1 macrophages. Specifically, IFI35 was positively associated with macrophage activation, chemotaxis, and migration. Also, patients with high IFI35 expression had a better prognosis. In vitro studies subsequently demonstrated that IFI35 was upregulated during the M1 subtype differentiation of macrophages. In summary, our data suggested that IFI35 maybe a promising novel target that helps to reshape macrophage polarization towards the M1 subtype for anti-tumor effects.
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Gao J, Zhang L, Peng K, Sun H. [Diagnostic value of serum tumor markers CEA, CYFRA21-1, SCCAg, NSE and ProGRP for lung cancers of different pathological types]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2022; 42:886-891. [PMID: 35790439 DOI: 10.12122/j.issn.1673-4254.2022.06.12] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To evaluate the diagnostic value of the serum tumor markers carcinoembryonic antigen (CEA), cytokeratin-19-fragment (CYFRA21-1), squamous cell carcinoma associated antigen (SCCAg), neuron-specificenolase (NSE) and pro-gastrin-releasing peptide (ProGRP) for lung cancers of different pathological types. METHODS This study was conducted among patients with established diagnoses of lung adenocarcinoma (LADC, n=137), lung squamous cell carcinoma (LSCC, n=82), small cell lung carcinoma (SCLC, n=59), and benign chest disease (BCD, n=102). The serum tumor markers were detected for all the patients for comparison of the positivity rates and their serum levels. ROC curve was used for analysis of the diagnostic efficacy of these tumor markers either alone or in different combinations. RESULTS In patients with LADC, the positivity rate and serum level of CEA were significantly higher than those in the other groups (P < 0.05); the patients with LSCC had the highest positivity rate and serum level of SCCAg among the 4 groups (P < 0.05). The positivity rates and serum levels of ProGRP and NSE were significantly higher in SCLC group than in the other groups (P < 0.05). CYFRA21-1 showed the highest positivity rate and serum level in LADC group and LSCC group. With the patients with BCD as control, CEA showed a diagnostic sensitivity of 62.8% and a specificity of 93.1% for LADC, and the sensitivity and specificity of SCCAg for diagnosing LSCC were 64.6% and 91.2%, respectively. CYFRA21-1 had the highest diagnostic sensitivity for LADC and LSCC. The diagnostic sensitivity and specificity of ProGRP for SCLC were 83.1% and 98.0%, respectively. When combined, CYFRA21-1 and CEA showed a high sensitivity (78.8%) and specificity (86.3%) for diagnosing LADC with an AUC of 0.891; CYFRA21-1 and SCCAg had a high sensitivity (84.1%) and specificity (87.3%) for diagnosing LSCC with an AUC of 0.912. NSE combined with ProGRP was highly sensitive (88.1%) and specific (98.0%) for diagnosis of SCLC, with an AUC of 0.952. For lung cancers of different pathological types, the combination of all the 5 tumor markers showed no significant differences in the diagnostic power from a combined detection with any two of the markers (P>0.05). CONCLUSION CEA, CYFRA21-1, SCCAg, NSE and ProGRP are all related to the pathological type of lung cancers and can be used in different combinations as useful diagnostic indicators for lung cancers.
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Ablikim M, Achasov M, Adlarson P, Albrecht M, Aliberti R, Amoroso A, An M, An Q, Bai X, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Batozskaya V, Becker D, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere R, Brueggemann A, Cai H, Cai X, Calcaterra A, Cao G, Cao N, Cetin S, Chang J, Chang W, Chelkov G, Chen C, Chen G, Chen H, Chen M, Chen S, Chen T, Chen X, Chen X, Chen Y, Chen Z, Cheng W, Cibinetto G, Cossio F, Cui J, Dai H, Dai J, Dbeyssi A, de Boer R, Dedovich D, Deng Z, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong L, Dong M, Dong X, Du S, Egorov P, Fan Y, Fang J, Fang S, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng C, Feng J, Fischer K, Fritsch M, Fu C, Gao H, Gao Y, Gao Y, Garbolino S, Garzia I, Ge P, Ge Z, Geng C, Gersabeck E, Gilman A, Goetzen K, Gong L, Gong W, Gradl W, Greco M, Gu L, Gu M, Gu Y, Guan C, Guo A, Guo L, Guo R, Guo Y, Guskov A, Han T, Han W, Hao X, Harris F, He K, He K, Heinsius F, Heinz C, Heng Y, Herold C, Himmelreich M, Holtmann T, Hou G, Hou Y, Hou Z, Hu H, Hu J, Hu T, Hu Y, Huang G, Huang K, Huang L, Huang L, Huang X, Huang Y, Huang Z, Hussain T, Hüsken N, Imoehl W, Irshad M, Jackson J, Jaeger S, Janchiv S, Ji Q, Ji Q, Ji X, Ji X, Ji Y, Jia Z, Jiang H, Jiang S, Jiang X, Jiang Y, Jiao J, Jiao Z, Jin S, Jin Y, Jing M, Johansson T, Kalantar-Nayestanaki N, Kang X, Kappert R, Ke B, Keshk I, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Koch L, Kolcu O, Kopf B, Kuemmel M, Kuessner M, Kupsc A, Kühn W, Lane J, Lange J, Larin P, Lavania A, Lavezzi L, Lei Z, Leithoff H, Lellmann M, Lenz T, Li C, Li C, Li C, Li C, Li D, Li F, Li G, Li H, Li H, Li H, Li H, Li H, Li J, Li J, Li J, Li K, Li L, Li L, Li L, Li M, Li P, Li S, Li S, Li T, Li W, Li W, Li X, Li X, Li X, Liang H, Liang H, Liang H, Liang Y, Liang Y, Liao G, Liao L, Libby J, Limphirat A, Lin C, Lin D, Lin T, Liu B, Liu C, Liu D, Liu F, Liu F, Liu F, Liu G, Liu H, Liu H, Liu H, Liu H, Liu J, Liu J, Liu J, Liu K, Liu K, Liu K, Liu L, Liu L, Liu L, Liu M, Liu P, Liu Q, Liu S, Liu T, Liu W, Liu W, Liu X, Liu Y, Liu Y, Liu Z, Liu Z, Lou X, Lu F, Lu H, Lu J, Lu X, Lu Y, Lu Y, Lu Z, Luo C, Luo M, Luo T, Luo X, Lyu X, Lyu Y, Ma F, Ma H, Ma L, Ma M, Ma Q, Ma R, Ma R, 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, Miao H, Min T, Mitchell R, Mo X, Muchnoi N, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev I, Ning Z, Nisar S, Niu Y, Olsen S, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Pathak A, Pelizaeus M, Peng H, Peters K, Ping J, Ping R, Plura S, Pogodin S, Poling R, Prasad V, Qi H, Qi H, Qi M, Qi T, Qian S, Qian W, Qian Z, Qiao C, Qin J, Qin L, Qin X, Qin X, Qin Z, Qiu J, Qu S, Qu S, Rashid K, Ravindran K, Redmer C, Ren K, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sang H, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan K, Shan W, Shan X, Shangguan J, Shao L, Shao M, Shen C, Shen H, Shen X, Shi B, Shi H, Shi R, Shi X, Shi X, Song J, Song W, Song Y, Sosio S, Spataro S, Stieler F, Su K, Su P, Su Y, Sun G, Sun H, Sun H, Sun J, Sun L, Sun S, Sun T, Sun W, Sun X, Sun Y, Sun Y, Sun Z, Tan Y, Tan Y, Tang C, Tang G, Tang J, Tao L, Tao Q, Teng J, Thoren V, Tian W, Tian Y, Uman I, Wang B, Wang B, Wang C, Wang D, Wang F, Wang H, Wang H, Wang K, Wang L, Wang M, Wang M, Wang M, Wang S, Wang S, Wang T, Wang T, Wang W, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wei D, Weidner F, Wen S, White D, Wiedner U, Wilkinson G, Wolke M, Wollenberg L, Wu J, Wu L, Wu L, Wu X, Wu X, Wu Y, Wu Z, Xia L, Xiang T, Xiao G, Xiao H, Xiao S, Xiao Y, Xiao Z, Xie C, Xie X, Xie Y, Xie Y, Xie Y, Xie Z, Xing T, Xu C, Xu C, Xu G, Xu H, Xu Q, Xu X, Xu Y, Xu Z, Yan F, Yan L, Yan W, Yan W, Yang H, Yang H, Yang H, Yang L, Yang S, Yang Y, Yang Y, Ye M, Ye M, Yin J, You Z, Yu B, Yu C, Yu G, Yu J, Yu T, Yuan C, Yuan L, Yuan S, Yuan X, Yuan Y, Yuan Z, Yue C, Zafar A, Zeng F, Zeng XZ, Zeng Y, Zhan Y, Zhang A, Zhang B, Zhang B, Zhang G, Zhang H, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang J, Zhang L, Zhang L, Zhang L, Zhang P, Zhang Q, Zhang S, Zhang S, Zhang X, Zhang X, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Z, 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 Y, Zhao Z, Zhemchugov A, Zheng B, Zheng J, Zheng Y, Zhong B, Zhong C, Zhong X, Zhou H, Zhou L, Zhou X, Zhou X, Zhou X, Zhou X, Zhou Y, Zhu J, Zhu K, Zhu K, Zhu L, Zhu S, Zhu S, Zhu T, Zhu W, Zhu Y, Zhu Z, Zou B, Zou J. Measurement of the branching fraction of the doubly Cabibbo-suppressed decay
D0→K+π−π0
and search for
D0→K+π−π0π0. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.112001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abbott R, Abbott T, Acernese F, Ackley K, Adams C, Adhikari N, Adhikari R, Adya V, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar O, Aiello L, Ain A, Ajith P, Akutsu T, Albanesi S, Allocca A, Altin P, Amato A, Anand C, Anand S, Ananyeva A, Anderson S, Anderson W, Ando M, Andrade T, Andres N, Andrić T, Angelova S, Ansoldi S, Antelis J, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya M, Areeda J, Arène M, Aritomi N, Arnaud N, Aronson S, Arun K, Asada H, Asali Y, Ashton G, Aso Y, Assiduo M, Aston S, Astone P, Aubin F, Austin C, Babak S, Badaracco F, Bader M, Badger C, Bae S, Bae Y, Baer A, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer S, Balsamo A, Baltus G, Banagiri S, Bankar D, Barayoga J, Barbieri C, Barish B, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton M, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley J, Baylor A, Bazzan M, Bécsy B, Bedakihale V, Bejger M, Belahcene I, Benedetto V, Moreno G, Mori Y, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry C, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Beniwal D, Mukherjee S, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz E, Murray P, Musenich R, Muusse S, Bennett T, Nadji S, Nagano K, Nagano S, Nagar A, Nakamura K, Nakano H, Nakano M, Nakashima R, Nakayama Y, Napolano V, Bentley J, Nardecchia I, Narikawa T, Naticchioni L, Nayak B, Nayak R, Negishi R, Neil B, Neilson J, Nelemans G, Nelson T, BenYaala M, Nery M, Neubauer P, Neunzert A, Ng K, Ng S, Nguyen C, Nguyen P, Nguyen T, Quynh LN, Ni WT, Bergamin F, Nichols S, Nishizawa A, Nissanke S, Nitoglia E, Nocera F, Norman M, North C, Nozaki S, Nuttall L, Oberling J, Berger B, O’Brien B, Obuchi Y, O’Dell J, Oelker E, Ogaki W, Oganesyan G, Oh J, Oh K, Oh S, Ohashi M, Bernuzzi S, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada M, Okutani Y, Okutomi K, Olivetto C, Oohara K, Ooi C, Bersanetti D, Oram R, O’Reilly B, Ormiston R, Ormsby N, Ortega L, O’Shaughnessy R, O’Shea E, Oshino S, Ossokine S, Osthelder C, Bertolini A, Otabe S, Ottaway D, Overmier H, Pace A, Pagano G, Page M, Pagliaroli G, Pai A, Pai S, Palamos J, Betzwieser J, Palashov O, Palomba C, Pan H, Pan K, Panda P, Pang H, Pang P, Pankow C, Pannarale F, Pant B, Beveridge D, Panther F, Paoletti F, Paoli A, Paolone A, Parisi A, Park H, Park J, Parker W, Pascucci D, Pasqualetti A, Bhandare R, Passaquieti R, Passuello D, Patel M, Pathak M, Patricelli B, Patron A, Paul S, Payne E, Pedraza M, Pegoraro M, Bhardwaj U, Pele A, Arellano FP, Penn S, Perego A, Pereira A, Pereira T, Perez C, Périgois C, Perkins C, Perreca A, Bhattacharjee D, Perriès S, Petermann J, Petterson D, Pfeiffer H, Pham K, Phukon K, Piccinni O, Pichot M, Piendibene M, Piergiovanni F, Bhaumik S, Pierini L, Pierro V, Pillant G, Pillas M, Pilo F, Pinard L, Pinto I, Pinto M, Piotrzkowski K, Pirello M, Bilenko I, Pitkin M, Placidi E, Planas L, Plastino W, Pluchar C, Poggiani R, Polini E, Pong D, Ponrathnam S, Popolizio P, Billingsley G, Porter E, Poulton R, Powell J, Pracchia M, Pradier T, Prajapati A, Prasai K, Prasanna R, Pratten G, Principe M, Bini S, Prodi G, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Birney R, Quetschke V, Quitzow-James R, Raab F, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail S, Raja S, Rajan C, Birnholtz O, Ramirez K, Ramirez T, Ramos-Buades A, Rana J, Rapagnani P, Rapol U, Ray A, Raymond V, Raza N, Razzano M, Biscans S, Read J, Rees L, Regimbau T, Rei L, Reid S, Reid S, Reitze D, Relton P, Renzini A, Rettegno P, Bischi M, Rezac M, Ricci F, Richards D, Richardson J, Richardson L, Riemenschneider G, Riles K, Rinaldi S, Rink K, Rizzo M, Biscoveanu S, Robertson N, Robie R, Robinet F, Rocchi A, Rodriguez S, Rolland L, Rollins J, Romanelli M, Romano J, Romano R, Bisht A, Romel C, Romero-Rodríguez A, Romero-Shaw I, Romie J, Ronchini S, Rosa L, Rose C, Rosińska D, Ross M, Rowan S, Biswas B, Rowlinson S, Roy S, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Bitossi M, Sago N, Saito S, Saito Y, Sakai K, Sakai Y, Sakellariadou M, Sakuno Y, Salafia O, Salconi L, Saleem M, Bizouard MA, Salemi F, Samajdar A, Sanchez E, Sanchez J, Sanchez L, Sanchis-Gual N, Sanders J, Sanuy A, Saravanan T, Sarin N, Blackburn J, Sassolas B, Satari H, Sathyaprakash B, Sato S, Sato T, Sauter O, Savage R, Sawada T, Sawant D, Sawant H, Blair C, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schiworski M, Schmidt P, Schmidt S, Schnabel R, Schneewind M, Schofield R, Blair D, Schönbeck A, Schulte B, Schutz B, Schwartz E, Scott J, Scott S, Seglar-Arroyo M, Sekiguchi T, Sekiguchi Y, Sellers D, Blair R, Sengupta A, Sentenac D, Seo E, Sequino V, Sergeev A, Setyawati Y, Shaffer T, Shahriar M, Shams B, Shao L, Bobba F, Sharma A, Sharma P, Shawhan P, Shcheblanov N, Shibagaki S, Shikauchi M, Shimizu R, Shimoda T, Shimode K, Shinkai H, Bode N, Shishido T, Shoda A, Shoemaker D, Shoemaker D, ShyamSundar S, Sieniawska M, Sigg D, Singer L, Singh D, Singh N, Boer M, Singha A, Sintes A, Sipala V, Skliris V, Slagmolen B, Slaven-Blair T, Smetana J, Smith J, Smith R, Soldateschi J, Bogaert G, Somala S, Somiya K, Son E, Soni K, Soni S, Sordini V, Sorrentino F, Sorrentino N, Sotani H, Soulard R, Boldrini M, Souradeep T, Sowell E, Spagnuolo V, Spencer A, Spera M, Srinivasan R, Srivastava A, Srivastava V, Staats K, Stachie C, Bonavena L, Steer D, Steinlechner J, Steinlechner S, Stops D, Stover M, Strain K, Strang L, Stratta G, Strunk A, Sturani R, Bondu F, Stuver A, Sudhagar S, Sudhir V, Sugimoto R, Suh H, Summerscales T, Sun H, Sun L, Sunil S, Sur A, Bonilla E, Suresh J, Sutton P, Suzuki T, Suzuki T, Swinkels B, Szczepańczyk M, Szewczyk P, Tacca M, Tagoshi H, Tait S, Bonnand R, Takahashi H, Takahashi R, Takamori A, Takano S, Takeda H, Takeda M, Talbot C, Talbot C, Tanaka H, Tanaka K, Booker P, Tanaka K, Tanaka T, Tanaka T, Tanasijczuk A, Tanioka S, Tanner D, Tao D, Tao L, Martín ETS, Taranto C, Boom B, 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Subrahmanya SC, Champion E, Chan CH, Chan C, Chan C, Chan K, Chan M, Chandra K, Chanial P, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee C, Chatterjee D, Chatterjee D, Chaturvedi M, Chaty S, Chen C, Chen H, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong C, Cheung H, Chia H, Chiadini F, Chiang CY, Chiarini G, Chierici R, Chincarini A, Chiofalo M, Chiummo A, Cho G, Cho H, Choudhary R, Choudhary S, Christensen N, Chu H, Chu Q, Chu YK, Chua S, Chung K, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu A, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark E, Clark J, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Codazzo E, Cohadon PF, Cohen D, Cohen L, Colleoni M, Collette C, Colombo A, Colpi M, Compton C, Constancio M, Conti L, Cooper S, Corban P, Corbitt T, Cordero-Carrión I, Corezzi S, Corley K, Cornish N, Corre D, Corsi A, Cortese S, Costa C, Cotesta R, Coughlin M, Coulon JP, Countryman S, Cousins B, Couvares P, Coward D, Cowart M, Coyne D, Coyne R, Creighton J, Creighton T, Criswell A, Croquette M, Crowder S, Cudell J, Cullen T, Cumming A, Cummings R, Cunningham L, Cuoco E, Curyło M, Dabadie P, Canton TD, Dall’Osso S, Dálya G, Dana A, DaneshgaranBajastani L, D’Angelo B, Danilishin S, D’Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier L, Datta S, Dattilo V, Dave I, Davier M, Davies G, Davis D, Davis M, Daw E, Dean R, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi L, De Matteis F, D’Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz M, Diaz-Ortiz M, Didio N, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla A, Dmitriev A, Doctor Z, D’Onofrio L, Donovan F, Dooley K, Doravari S, Dorrington I, Drago M, Driggers J, Drori Y, Ducoin JG, Dupej P, Durante O, D’Urso D, Duverne PA, Dwyer S, Eassa C, Easter P, Ebersold M, Eckhardt T, Eddolls G, Edelman B, Edo T, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry S, Eisenmann M, Eisenstein R, Ejlli A, Engelby E, Enomoto Y, Errico L, Essick R, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans T, Ewing B, Fafone V, Fair H, Fairhurst S, Farah A, Farinon S, Farr B, Farr W, Farrow N, Fauchon-Jones E, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer M, Fenyvesi E, Ferguson D, Fernandez-Galiana A, Ferrante I, Ferreira T, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher R, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font J, Fornal B, Forsyth P, Franke A, Frasca S, Frasconi F, Frederick C, Freed J, Frei Z, Freise A, Frey R, Fritschel P, Frolov V, Fronzé G, Fujii Y, Fujikawa Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard H, Gadre B, Gair J, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar S, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Ge GG, Gemme G, Gennai A, George J, Gerberding O, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Giacomazzo B, Giacoppo L, Giaime J, Giardina K, Gibson D, Gier C, Giesler M, Giri P, Gissi F, Glanzer J, Gleckl A, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gosselin M, Gouaty R, Gould D, Grace B, Grado A, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green A, Green R, Gretarsson A, Gretarsson E, Griffith D, Griffiths W, Griggs H, Grignani G, Grimaldi A, Grimm S, Grote H, Grunewald S, Gruning P, Guerra D, Guidi G, Guimaraes A, Guixé G, Gulati H, Guo HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson E, Gustafson R, Guzman F, Ha S, Haegel L, Hagiwara A, Haino S, Halim O, Hall E, Hamilton E, Hammond G, Han WB, Haney M, Hanks J, Hanna C, Hannam M, Hannuksela O, Hansen H, Hansen T, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry G, Harry I, Hartwig D, Hasegawa K, Haskell B, Hasskew R, Haster CJ, Hattori K, Haughian K, Hayakawa H, Hayama K, Hayes F, Healy J, Heidmann A, Heidt A, Heintze M, Heinze J, Heinzel J, Heitmann H, Hellman F, Hello P, Helmling-Cornell A, Hemming G, Hendry M, Heng I, Hennes E, Hennig J, Hennig M, Hernandez A, Vivanco FH, Heurs M, Hild S, Hill P, Himemoto Y, Hines A, Hiranuma Y, Hirata N, Hirose E, Hochheim S, Hofman D, Hohmann J, Holcomb D, Holland N, Hollows I, Holmes Z, Holt K, Holz D, Hong Z, Hopkins P, Hough J, Hourihane S, Howell E, Hoy C, Hoyland D, Hreibi A, Hsieh BH, Hsu Y, Huang GZ, Huang HY, Huang P, Huang YC, Huang YJ, Huang Y, Hübner M, Huddart A, Hughey B, Hui D, Hui V, Husa S, Huttner S, Huxford R, Huynh-Dinh T, Ide S, Idzkowski B, Iess A, Ikenoue B, Imam S, Inayoshi K, Ingram C, Inoue Y, Ioka K, Isi M, Isleif K, Ito K, Itoh Y, Iyer B, Izumi K, JaberianHamedan V, Jacqmin T, Jadhav S, Jadhav S, James A, Jan A, Jani K, Janquart J, Janssens K, Janthalur N, Jaranowski P, Jariwala D, Jaume R, Jenkins A, Jenner K, Jeon C, Jeunon M, Jia W, Jin HB, Johns G, Jones A, Jones D, Jones J, Jones P, Jones R, Jonker R, Ju L, Jung P, Jung K, Junker J, Juste V, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi C, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, Kanner J, Kao Y, Kapadia S, Kapasi D, Karat S, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Kéfélian F, Keitel D, Key J, Khadka S, Khalili F, Khan S, Khazanov E, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim J, Kim J, Kim K, Kim W, Kim YM, Kimball C, Kimura N, Kinley-Hanlon M, Kirchhoff R, Kissel J, Kita N, Kitazawa H, Kleybolte L, Klimenko S, Knee A, Knowles T, Knyazev E, Koch P, Koekoek G, Kojima Y, Kokeyama K, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kong A, Kontos A, Koper N, Korobko M, Kotake K, Kovalam M, Kozak D, Kozakai C, Kozu R, Kringel V, Krishnendu N, Królak A, Kuehn G, Kuei F, Kuijer P, Kumar A, Kumar P, Kumar R, Kumar R, Kume J, Kuns K, Kuo C, Kuo HS, Kuromiya Y, Kuroyanagi S, Kusayanagi K, Kuwahara S, Kwak K, Lagabbe P, Laghi D, Lalande E, Lam T, Lamberts A, Landry M, Lane B, Lang R, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky P, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche Y, Lee H, Lee H, Lee H, Lee J, Lee K, Lee R, Lehmann J, Lemaître A, Leonardi M, Leroy N, Letendre N, Levesque C, Levin Y, Leviton J, Leyde K, Li A, Li B, Li J, Li K, Li T, Li X, Lin CY, Lin FK, Lin FL, Lin H, Lin LCC, Linde F, Linker S, Linley J, Littenberg T, Liu G, Liu J, Liu K, Liu X, Llamas F, Llorens-Monteagudo M, Lo R, Lockwood A, London L, Longo A, Lopez D, Portilla ML, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lott T, Lough J, Lousto C, Lovelace G, Lucaccioni J, Lück H, Lumaca D, Lundgren A, Luo LW, Lynam J, Macas R, MacInnis M, Macleod D, MacMillan I, Macquet A, Hernandez IM, Magazzù C, Magee R, Maggiore R, Magnozzi M, Mahesh S, Majorana E, Makarem C, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango J, Mansell G, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan A, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin I, Martin R, Martinez M, Martinez V, Martinez V, Martinovic K, Martynov D, Marx E, Masalehdan H, Mason K, Massera E, Masserot A, Massinger T, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann J, McCarthy R, McClelland D, McClincy P, McCormick S, McCuller L, McGhee G, McGuire S, McIsaac C, McIver J, McRae T, McWilliams S, Meacher D, Mehmet M, Mehta A, Meijer Q, Melatos A, Melchor D, Mendell G, Menendez-Vazquez A, Menoni C, Mercer R, Mereni L, Merfeld K, Merilh E, Merritt J, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers P, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller A, Miller A, Miller B, Millhouse M, Mills J, Milotti E, Minazzoli O, Minenkov Y, Mio N, Mir L, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov V, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Moguel E, Mogushi K, Mohapatra S, Mohite S, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore C, Moraru D, Morawski F, More A, Moreno C. All-sky, all-frequency directional search for persistent gravitational waves from Advanced LIGO’s and Advanced Virgo’s first three observing runs. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.122001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Liu X, Ye G, Lei X, Li H, Yang T, Chen S, Yu Y, Chen X, Zhang G, Sun H, Bibikova M, Cui C, Chen Z, Fan J. P-51 Non-invasive HER2 status diagnosis in gastric cancer using surrogate DNA methylation markers. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.141] [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] Open
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Garzon R, Pichiorri F, Palumbo T, Visentini M, Aqeilan R, Cimmino A, Wang H, Sun H, Volinia S, Alder H, Calin GA, Liu CG, Andreeff M, Croce CM. Correction to: MicroRNA gene expression during retinoic acid-induced differentiation of human acute promyelocytic leukemia. Oncogene 2022; 41:3452-3453. [PMID: 35546352 DOI: 10.1038/s41388-022-02351-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Zhao Y, Sun H, Zhao Y, Liu Q, Liu Y, Hou Y, Jin W. NSrp70 suppresses metastasis in triple-negative breast cancer by modulating Numb/TβR1/EMT axis. Oncogene 2022; 41:3409-3422. [PMID: 35568738 DOI: 10.1038/s41388-022-02349-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 04/12/2022] [Accepted: 05/06/2022] [Indexed: 11/09/2022]
Abstract
Alternative splicing of mRNA precursors allows cancer cells to create different protein isoforms that promote growth and survival. Compared to normal cells, cancer cells frequently exhibit a higher diversity of their transcriptomes. A comprehensive understanding of splicing regulation is required to correct the splicing alterations for the future precision oncology. A quantitative proteomic screen was performed to identify the regulators associated the metastasis in triple-negative breast cancer. Multiple in vitro and in vivo functional analyses were used to study the effects of NSrp70 on breast cancer metastasis. Next, transcriptomic sequencing (RNA-seq) and alternative splicing bioinformatics analysis was applied to screen the potential targets of NSrp70. Moreover, in vitro splicing assays, RNA pull-down, and RNA immunoprecipitation assay were used to confirm the specific binding between NSrp70 and downstream target genes. Furthermore, the prognostic value of NSrp70 was analyzed in a cohort of patients by performing IHC. We uncovered NSrp70 as a novel suppressor of breast cancer metastasis. We discovered that NSrp70 inhibited the skipped exon alternative splicing of NUMB, promoted the degradation of transforming growth factor receptor 1 through lysosome pathway, and regulated TGFβ/SMAD-mediated epithelial-mesenchymal transition phenotype in breast cancer cells. Furthermore, high NSrp70 expression correlated with a better prognosis in breast cancer patients. Our findings revealed that splicing regulator NSrp70 serves as a metastasis suppressor.
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Liu Q, Sun H, Liu Y, Li X, Xu B, Li L, Jin W. HTR1A Inhibits the Progression of Triple-Negative Breast Cancer via TGF-β Canonical and Noncanonical Pathways. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2105672. [PMID: 35199941 PMCID: PMC9036047 DOI: 10.1002/advs.202105672] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 01/29/2022] [Indexed: 06/14/2023]
Abstract
Triple-negative breast cancer is the most aggressive subtype of breast cancer and the incidence of depression in breast cancer patients is high, which leading to worse survival and increased risk of recurrence. The effect of antidepressants on breast cancer patients remains contradictory, which might be due to variations in antidepression targets. Therefore, there is significant value to explore the antitumor potential of antidepressants and discover new therapeutic targets for breast patients. The authors screen antidepressant-related oncogenes or suppressors by using siRNAs. After combining functional experiments with online database analysis, 5-hydroxytryptamine receptor 1A (HTR1A is selected with antitumor potential in breast cancer cells in vivo and in vitro. RNA-seq analysis and coimmunoprecipitation assays indicate that HTR1A interacts with TRIM21 and PSMD7 to inhibit the degradation of TβRII through the ubiquitin-proteasome pathway, thereby inhibiting the transforming growth factor-β (TGF-β) canonical and noncanonical pathway. In addition, HTR1A is an independent predictive factor for breast cancer patients. The combined treatment of HTR1A agonists with demethylation drugs may significantly improve patient survival. It is of great significance to clarify the function and mechanism of the depression-related gene HTR1A in breast cancer, which might provide a new approach for triple-negative breast cancer patients.
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Liao TH, Hu WY, Sun H, Ye WJ, Guo Q, Zhou ZX. SYNTHESIS, CRYSTAL STRUCTURE, DFT CALCULATIONS AND VIBRATIONAL PROPERTIES OF METHYL(tert-BUTOXYCARBONYL)-L- TYROSINATE AND METHYL(2,2,2- TRIFLUOROACETYL)-L-TYROSINATE. J STRUCT CHEM+ 2022. [DOI: 10.1134/s0022476622010127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Sun H, Wang T, Xu ZX, Chen XF, Cao JB, Li H. [Effective dose and adverse reactions analysis of Remimazolam for sedation in elderly patients undergoing gastroscopy]. ZHONGHUA YI XUE ZA ZHI 2022; 102:332-335. [PMID: 35092973 DOI: 10.3760/cma.j.cn112137-20211111-02509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the 50% effective dose (ED50) and 95% effective dose (ED95) of Remimazolam during gastroscopic sedation in elderly patients, and to observe the adverse reactions during anesthesia. Methods: From July to November 2020, 39 elderly patients, of which there were 18 males and 21 females, aged from 65 to 82 (72±5) years, were examined by gastroscopy in the Second Affiliated Hospital of Hainan Medical University, who American Society of Anesthesiologists (ASA) was grade Ⅰ or Ⅱ. Sufentanil 0.1 μg/kg and test dose Remimazolam were injected intravenously, and the initial dose of Remimazolam was 0.17 mg/kg. The dose of the next patient was determined according to the modified Dixon sequential method. If the former patient had a positive reaction during gastroscopy, such as cough, nausea, vomiting and/or body movement reaction occurred when the gastroscope was placed into the pharynx or in the 2 min, the next patient would increase the dose, otherwise, the dose would be reduced. The dose increase and decrease gradient of Remimazolam was 0.01 mg/kg, and the test was stopped after 12 times of return. At the same time, the occurrence of adverse reactions during anesthesia was observed. Results: A total of 39 elderly patients completed the trial, of which 21 were effective and 18 were ineffective. When the elderly patients were sedated by gastroscopy, the ED50 of single intravenous injection of Remimazolam was 0.153 mg/kg (95%CI:0.151-0.154 mg/kg) and the ED95 was 0.164 mg/kg (95%CI:0.160-0.166 mg/kg). The total dose of Remimazolam was (10.6±2.8) mg, the recovery time was (10.0±3.4) min, and the stay time in resuscitation room was (8.2±2.6) min. During anesthesia, nausea and vomiting occurred in 1 case, transient hypotension in 4 cases, and no other adverse reactions were found. Conclusion: The ED50 of Remimazolam during gastroscopic sedation in elderly patients is 0.153 mg/kg, ED95 is 0.162 mg/kg, and the incidence of adverse reactions is low.
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Yan B, Lai A, Sun H. How to bridge residual distance to target low-density-lipoprotein cholesterol in acute coronary syndrome patients after initial statin therapy? Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehab849.170] [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
Funding Acknowledgements
Type of funding sources: None.
BACKGROUND
Current guidelines recommend intensive low-density-lipoprotein cholesterol (LDL-C) lowering by ≥50% to target LDL-C <1.4mmol/L after acute coronary syndrome (ACS). Residual distance to LDL-C target can help select treatment strategy after initial statin therapy.
PURPOSE
We aimed to evaluate residual distance to guideline recommended target LDL-C and the proportion of ACS patients who are projected to reach target LDL-C by different statin and non-statin lipid lowering strategies.
METHODS
We retrospectively analyzed 46,114 patients admitted with ACS who survived 1 year from 18 acute hospitals in Hong Kong between Jan 2014 and Dec 2018. Patients were divided into (i) high potency (HP-S; rosuvastatin ≥20mg, atorvastatin ≥40mg or simvastatin ≥80mg); (ii) non-high potency (NHP-S; other statin doses) statin users and (iii) no statin therapy. We calculated the mean distance and percentage LDL-C reduction required to reach dual LDL-C targets (>50% reduction from baseline and <1.4mmol/L). We assumed up-titration from NHP-S to HP-S would further reduce LDL-C by approximately 5-10%; addition of ezetimibe 15-20% and PCSK-9 inhibitor 50-60%.
RESULTS
Of 46,114 patients (60.7% males, mean age 76.2 ± 13.3 years), 80.4% (n = 10945/13614) had LDL-C ≥1.4mmol/L at 12-months after index ACS with 60.2% (n = 18319/30450), 31.9% (n = 9726/30450) and 8.0% (2405/30450) of patients on no statin, NHP-S and HP-S, respectively. 86% of HP-S and 93% of NHP-S users did not reach dual LDL-C targets at 12-months. Among patients on NHP-S and HP-S, the mean LDL-C at 12-months was 2.0 ± 0.7 and2.1 ± 0.9 mmol/L; mean residual distance to target 0.64 ± 0.7 and0.66 ± 0.9 mmol/L; and mean percentage LDL-C reduction required to reach dual LDL-C targets was 22.4 ± 33% and 18.8 ± 36%, respectively. 13% of statin users required >50% further LDL-C reduction to reach targets. Projected proportion of NHP-S users to reach LDL-C targets is 11% (n = 430/3966) by up-titrating to HP-S, 21% (n = 828/3966) by up-titration to HP-S plus ezetimibe and 100% (n = 3966/3966) with PCSK-9 inhibitor plus HP-S and ezetimibe. Projected proportion of HP-S users to reach LDL-C targets is 13% (n = 143/1099) by ezetimibe and 100% (n = 1099/1099) with addition of PCSK-9 inhibitor.
CONCLUSION
The use of high-potency statin was low and almost all statin users did not reach dual LDL-C targets at 12-months after index ACS. High potency statin plus ezetimibe is projected to bridge about a fifth of these patients to target LDL-C. PCSK-9 inhibitor is likely needed in the majority of patients who have not achieved target LDL-C at 12-months after ACS to reach guideline recommendations.
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Li X, Sun H, Liu Q, Liu Y, Hou Y, Jin W. Conjoint analysis of circulating tumor cells and solid tumors for exploring potential prognostic markers and constructing a robust novel predictive signature for breast cancer. Cancer Cell Int 2021; 21:708. [PMID: 34953500 PMCID: PMC8710246 DOI: 10.1186/s12935-021-02415-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 12/17/2021] [Indexed: 12/11/2022] Open
Abstract
Background Distance metastasis is the leading cause of death for breast cancer patients, and circulating tumor cells (CTCs) play a key role in cancer metastasis. There have been few studies on CTCs at the molecular level due to their rarity, and the heterogeneity of CTCs may provide special information for solid tumor analysis. Methods In this study, we used the gene expression and clinical information of single-cell RNA-seq data of CTCs of breast cancer and discovered a cluster of epithelial cells that had more aggressive characteristics. The differentially expressed genes (DEGs) between the identified epithelial cells cluster and others from single-CTCs were selected for further analysis in bulk sequence data of solid breast cancers. Results Eighteen genes closely related to the specific CTC epithelial phenotype and breast cancer patient prognosis were identified. Among these 18 genes, we selected the GARS gene, which has not been studied in breast cancer, for functional research and confirmed that it may be a potential oncogene in breast cancer. A risk score was established by the 18 genes, and a high-risk score was strongly associated with a high metastasis rate and poor survival prognosis in breast cancer. The high-risk score group was related to a defective immune infiltration environment in breast cancer, and the immune checkpoint therapy response rate was lower in this group. The drug-sensitive analysis shows that the high-risk score patients may be more sensitive to AKT-mTOR and the cyclin-dependent kinase (CDK) pathways drugs than low-risk score patients. Conclusions Our 18-gene risk score shows good prognostic and predictive values and might be a personalized prognostic marker or therapy guide marker in breast cancer patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12935-021-02415-8.
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Wang GF, Sun SW, Sun H, Song SF, Jiang HS. Synthesis, Crystal Structure, and Luminescent Properties of a Cadmium(II) Coordination Polymer Constructed by Bis(4-(1H-Imidazol-1-yl)phenyl) Methanone and 1,4-Benzenedicarboxylate Ligands. CRYSTALLOGR REP+ 2021. [DOI: 10.1134/s1063774521070208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Zhao FF, Zhang XZ, Zhang Y, Elmhadi M, Qin YY, Sun H, Zhang H, Wang MZ, Wang HR. Tannic Acid-Steeped Corn Grain Modulates in vitro Ruminal Fermentation Pattern and Microbial Metabolic Pathways. Front Vet Sci 2021; 8:698108. [PMID: 34778425 PMCID: PMC8581138 DOI: 10.3389/fvets.2021.698108] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 08/13/2021] [Indexed: 11/13/2022] Open
Abstract
This study investigated the effects of tannic acid (TA)-treated corn on changes in ruminal fermentation characteristics and the composition of the ruminal bacterial community in vitro. Ruminal fluid was obtained from three rumen-fistulated goats fed a 60:40 (forage/concentrate) diet. The batch cultures consisted of 25 ml of strained rumen fluid in 25 ml of an anaerobic buffer containing 0.56 g of ground corn, 0.24 g of soybean meal, 0.10 g of alfalfa, and 0.10 g of oat grass. Ground corn (2 mm) was steeped in an equal quantity (i.e., in a ratio of 1:1, w/v) of water alone (Con), 15 (TA15), 25 (TA25), and 35 g/l (TA35) TA solution for 12 h. After incubation for 24 h, TA-treated corn linearly increased (P <0.05) ruminal pH and the molar proportion of acetate, but linearly reduced (P <0.05) total volatile fatty acids and the molar proportion of butyrate compared with the Con treatment. Illumina MiSeq sequencing was used to investigate the profile changes of the ruminal microbes. A principal coordinates analysis plot based on weighted UniFrac values revealed that the structure of the ruminal bacterial communities in the control group was different from that of the TA-treated corn groups. The results of changes in the rumen bacterial communities showed that TA-treated corn linearly enriched (P <0.05) Rikenellaceae_RC9_gut_group, but linearly reduced (P <0.05) Ruminococcaceae_NK4A214_group, Ruminococcus_2, and unclassified_o__Clostridiales. Functional prediction of ruminal microbiota revealed that the TA-treated corn linearly decreased ruminal microbiota function of utilizing starch through pyruvate metabolism. In conclusion, TA-treated corn can modulate the rumen fermentation characteristics, microbial composition, and metabolic pathways, which may be potentially useful for preventing the occurrence of ruminal acidosis.
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Liu Z, Sun H, Lai W, Hu M, Zhang Y, Bai C, Liu J, Ren H, Li F, Yan S. Genome-wide re-sequencing reveals population structure and genetic diversity of Bohai Black cattle. Anim Genet 2021; 53:133-136. [PMID: 34783059 DOI: 10.1111/age.13155] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/01/2021] [Indexed: 11/29/2022]
Abstract
Bohai Black (BHB) cattle, one of eight representative indigenous breeds in China, is well known for its high resistance to disease, endurance under unfavorable feeding conditions and excellent meat quality. Over recent, the number of BHB cattle has decreased sharply. To investigate the population structure and genetic diversity of this breed, the whole-genome data of 35 individuals from a conservation farm were obtained using the Illumina 150 bp paired-end platform. The results of the genetic structure and diversity analyses showed that BHB cattle had mixed Bos taurus and Bos indicus ancestry, close phylogenic relationships with Jiaxian Red and Luxi cattle and abundant genetic diversity. The bulls tested here could be divided into six families. This study presents a comprehensive evaluation of the genetic structure and diversity of the BHB cattle, and lays the theoretical basis for conservation and utilization of the valuable germplasm resource.
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Wang PP, Dong HL, Sun H, Pang XX, Cai CJ, Bai D, Li F, Yang MY, Lan X, Zeng G. [Association between dietary vitamin A intake and gestational diabetes mellitus in the first trimester]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2021; 55:1293-1298. [PMID: 34749471 DOI: 10.3760/cma.j.cn112150-20201023-01305] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the relationship between dietary vitamin A intake and its sources in the first trimester and gestational diabetes mellitus (GDM). Methods: A prospective study was conducted to select women at 6-14 weeks of gestation in an obstetric clinic of a maternal and child health care medical institution in Chengdu in 2017. The types and quantities of food during the first trimester were collected by 3-day 24-hour dietary recalls. Dietary vitamin A intake was calculated based on the Chinese Food Composition Table (2018), and it was divided into animal and plant vitamin A intakes according to its food sources. An oral glucose tolerance test was performed at 24-28 weeks of gestation to diagnose GDM according to the Chinese guidelines for diagnosis and treatment of gestational diabetes mellitus (2014). According to the estimated average requirement (EAR) and recommended nutrient intake (RNI), dietary vitamin A intake was divided into low-level group (<EAR), medium-level group (EAR-RNI) and high-level group (>RNI). Animal and plant vitamin A intakes were divided into four groups (Q1-Q4) according to the quartile method, respectively. The association between dietary vitamin A intake, its different sources of vitamin A intake and GDM in the first trimester was analyzed by log-binomial regression models. Results: A total of 1 298 valid samples were finally included. The average dietary vitamin A intake, animal and plant vitamin A intakes in the first trimester were 341.1 (227.8-501.0) μgRAE/d, 139.3 (69.6-195.3) μgRAE/d and 184.2 (99.4-301.1) μgRAE/d, respectively. After adjusting for confounding factors, log-binomial regression analysis showed that the risk of GDM in high-level group of dietary vitamin A intake was lower than that in low-level group [RR (95%CI):0.53 (0.36-0.80)]. Pregnant women in the highest quartile of animal vitamin A intake had a lower risk of GDM than those in the lowest quartile [RR (95%CI):0.66 (0.47-0.95)]. No relationship between plant vitamin A intake and GDM was found. Conclusion: Dietary vitamin A intake in the first trimester is associated with the occurrence of GDM, and higher intake than RNI may reduce the risk of GDM. Higher vitamin A intake from animal-derived food is associated with decreased risk of GDM.
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