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Liu XZ, Sang M, Zhang XA, Zhang TK, Zhang HY, He X, Li SX, Sun XD, Zhang ZM. Enhancing expression of SSU1 genes in Saccharomyces uvarum leads to an increase in sulfite tolerance and a transcriptome profile change. FEMS Yeast Res 2017; 17:3752510. [PMID: 28449102 DOI: 10.1093/femsyr/fox023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 04/21/2017] [Indexed: 01/31/2023] Open
Abstract
Saccharomyces uvarum is a good wine yeast species that may have great potential for the future. However, sulfur tolerance of most S. uvarum strains is very poor. In addition there is still little information about the SSU1 gene of S. uvarum, which encodes a putative transporter conferring sulfite tolerance. In order to analyze the function of the SSU1 gene, two expression vectors that contained different SSU1 genes were constructed and transferred into a sulfite-tolerant S. uvarum strain, A9. Then sulfite tolerance, SO2 production, and PCR, sequencing, RT-qPCR and transcriptome analyses were used to access the function of the S. uvarum SSU1 gene. Our results illustrated that enhancing expression of the SSU1 gene can promote sulfite resistance in S. uvarum, and an insertion fragment ahead of the additional SSU1 gene, as seen in some alleles, could affect the expression of other genes and the sulfite tolerance level of S. uvarum. This is the first report on enhancing the expression of the SSU1 gene of S. uvarum.
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Huang Y, Cai J, Tang JF, Zhang HY, Wang ZW, Jian JC, Wu ZH, Lu YS. Identification and expression analysis of terminal deoxynucleotidyl transferase in humphead snapper Lutjanus sanguineus. JOURNAL OF FISH BIOLOGY 2017; 90:2194-2199. [PMID: 28369937 DOI: 10.1111/jfb.13259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2016] [Accepted: 11/30/2016] [Indexed: 06/07/2023]
Abstract
A tdt gene was identified successfully from humphead snapper Lutjanus sanguineus, which contained 1710 bp encoding a protein of 463 amino acids. Results of quantitative real-time polymerase chain reaction (qRT-PCR) indicated that tdt mainly expressed in thymus and head kidney and the transcripts of tdt in these tissues were up-regulated significantly at 36 and 48 h after Vibrio harveyi infection. Meanwhile Tdt-producing cells were found in thymus and head kidney.
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Ablikim M, Achasov MN, Ahmed S, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Bakina O, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen S, Chen SJ, Chen X, Chen XR, Chen YB, Chu XK, Cibinetto G, 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, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo RP, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li K, Li K, Li L, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li YB, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu QJ, Liu SB, Liu X, Liu YB, Liu YY, Liu ZA, Liu ZQ, Loehner H, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Musiol P, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun XH, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang W, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xie Y, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YX, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang Y, Zhang YH, Zhang YN, Zhang YT, 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 QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Observation of Λ_{c}^{+}→nK_{S}^{0}π^{+}. PHYSICAL REVIEW LETTERS 2017; 118:112001. [PMID: 28368651 DOI: 10.1103/physrevlett.118.112001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Indexed: 06/07/2023]
Abstract
We report the first direct measurement of decays of the Λ_{c}^{+} baryon involving the neutron. The analysis is performed using 567 pb^{-1} of e^{+}e^{-} collision data collected at sqrt[s]=4.599 GeV with the BESIII detector at the BEPCII collider. We observe the decay Λ_{c}^{+}→nK_{S}^{0}π^{+} and measure the absolute branching fraction to be B(Λ_{c}^{+}→nK_{S}^{0}π^{+})=[1.82±0.23(stat)±0.11(syst)]%. A comparison to B[Λ_{c}^{+}→p(K[over ¯]π)^{0}] provides an important test of isospin symmetry and final state interactions.
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Ablikim M, Achasov MN, Ahmed S, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Bakina O, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen S, Chen SJ, Chen X, Chen XR, Chen YB, Chu XK, Cibinetto G, 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, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo RP, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li K, Li K, Li L, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li YB, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu YY, Liu ZA, Liu Z, Loehner H, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Musiol P, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun XH, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang W, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang ZY, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xie Y, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YX, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang Y, Zhang Y, Zhang YH, Zhang YN, Zhang YT, 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 QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Precise Measurement of the e^{+}e^{-}→π^{+}π^{-}J/ψ Cross Section at Center-of-Mass Energies from 3.77 to 4.60 GeV. PHYSICAL REVIEW LETTERS 2017; 118:092001. [PMID: 28306266 DOI: 10.1103/physrevlett.118.092001] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Indexed: 06/06/2023]
Abstract
The cross section for the process e^{+}e^{-}→π^{+}π^{-}J/ψ is measured precisely at center-of-mass energies from 3.77 to 4.60 GeV using 9 fb^{-1} of data collected with the BESIII detector operating at the BEPCII storage ring. Two resonant structures are observed in a fit to the cross section. The first resonance has a mass of (4222.0±3.1±1.4) MeV/c^{2} and a width of (44.1±4.3±2.0) MeV, while the second one has a mass of (4320.0±10.4±7.0) MeV/c^{2} and a width of (101.4_{-19.7}^{+25.3}±10.2) MeV, where the first errors are statistical and second ones are systematic. The first resonance agrees with the Y(4260) resonance reported by previous experiments. The precision of its resonant parameters is improved significantly. The second resonance is observed in e^{+}e^{-}→π^{+}π^{-}J/ψ for the first time. The statistical significance of this resonance is estimated to be larger than 7.6σ. The mass and width of the second resonance agree with the Y(4360) resonance reported by the BABAR and Belle experiments within errors. Finally, the Y(4008) resonance previously observed by the Belle experiment is not confirmed in the description of the BESIII data.
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Ablikim M, Achasov MN, Ahmed S, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Bakina O, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen S, Chen SJ, Chen X, Chen XR, Chen YB, Chu XK, Cibinetto G, 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, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo RP, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang ZL, Hussain T, Ikegami Andersson W, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Lavezzi L, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li K, Li K, Li L, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li YB, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu YY, Liu ZA, Liu Z, Loehner H, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Musiol P, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schnier C, Schoenning K, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun XH, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang W, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang ZY, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xie Y, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YX, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan Y, Yuncu A, Zafar AA, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang Y, Zhang Y, Zhang YH, Zhang YN, Zhang YT, 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 QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Evidence of Two Resonant Structures in e^{+}e^{-}→π^{+}π^{-}h_{c}. PHYSICAL REVIEW LETTERS 2017; 118:092002. [PMID: 28306302 DOI: 10.1103/physrevlett.118.092002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2016] [Indexed: 06/06/2023]
Abstract
The cross sections of e^{+}e^{-}→π^{+}π^{-}h_{c} at center-of-mass energies from 3.896 to 4.600 GeV are measured using data samples collected with the BESIII detector operating at the Beijing Electron Positron Collider. The cross sections are found to be of the same order of magnitude as those of e^{+}e^{-}→π^{+}π^{-}J/ψ and e^{+}e^{-}→π^{+}π^{-}ψ(2S), but the line shape is inconsistent with the Y states observed in the latter two modes. Two structures are observed in the e^{+}e^{-}→π^{+}π^{-}h_{c} cross sections around 4.22 and 4.39 GeV/c^{2}, which we call Y(4220) and Y(4390), respectively. A fit with a coherent sum of two Breit-Wigner functions results in a mass of (4218.4_{-4.5}^{+5.5}±0.9) MeV/c^{2} and a width of (66.0_{-8.3}^{+12.3}±0.4) MeV for the Y(4220), and a mass of (4391.5_{-6.8}^{+6.3}±1.0) MeV/c^{2} and a width of (139.5_{-20.6}^{+16.2}±0.6) MeV for the Y(4390), where the first uncertainties are statistical and the second ones systematic. The statistical significance of Y(4220) and Y(4390) is 10σ over one structure assumption.
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Meng C, Zhang KH, Ma J, Gao X, Yu K, Zhang HY, Wang Y, Zhang ZX, Li WG, Liu Y, Gai ZT. [Clinical and genetic analysis of a family with Joubert syndrome type 10 caused by OFD1 gene mutation]. ZHONGHUA ER KE ZA ZHI = CHINESE JOURNAL OF PEDIATRICS 2017; 55:131-134. [PMID: 28173652 DOI: 10.3760/cma.j.issn.0578-1310.2017.02.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the genetic cause for a family with multiorgan dysplasia and "molar tooth sign" on MRI image. Method: The patient, a 3 months and 21 days old boy, was clinically examined and the medical history of his family was collected. Next generation sequencing was performed to analyze his clinical and genetic causes. Result: Clinical manifestation of the child displayed multiorgan dysplasia, such as six finger deformity, short limbs, coloboma of optic disc and choroid, situs inversus.Cranial MRI showed "molar tooth sign" . The gene sequencing confirmed that the child carried a de novo deletion of c. 2843_2844 delAA in OFD1 gene. Conclusion: The child has typical clinical features of Joubert syndrome, such as MRI "molar syndrome" , developmental abnormalities of ocular tissue and limb, visceral inversion, and so on.The OFD1 gene had a novel deletion mutation through gene detection. Combined clinical features with gene detection, it was clear that the child was a rare case of Joubert syndrome type 10 which was the first case of Joubert syndrome caused by OFD1 gene mutation in China.
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Yang XY, Zhang M, Luo XP, Wang JJ, Yin L, Pang C, Wang GA, Shen YX, Wu DT, Zhang L, Ren YC, Wang BY, Zhang HY, Zhou JM, Han CY, Zhao Y, Feng TP, Hu DS, Zhao JZ. [Body mass index, waist circumference and waist-to-height ratio associated with the incidence of type 2 diabetes mellitus: a cohort study]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2017; 50:328-33. [PMID: 27029364 DOI: 10.3760/cma.j.issn.0253-9624.2016.04.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To investigate the association between body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), and the incidence risk of type 2 diabetes mellitus (T2DM). METHODS In total, 20 194 participants ≥18 years old were selected randomly by cluster sampling from two township (town) of the county in Henan province from July to August of 2007 and July to August of 2008 and the investigation included questionnaires, anthropometric measurements, fasting plasma glucose, and lipid profile examination were performed at baseline; 17 236 participants were enrolled in this cohort study. 14 720 (85.4%) were followed up from July to August 2013 and July to October 2014. Finally, 11 643 participants (4 301 males and 7 342 females) were included in this study. Incidence density and Cox proportional hazards regression models were used to evaluate the risk of T2DM associated with baseline BMI, WC, WHtR, and their dynamic changes. RESULTS After average of 6.01 years following up for 11 643 participants, 613 developed T2DM and the incidence density was 0.89 per 100 person-years. After adjusted for baseline sex, age, smoking, drinking, family history of diabetes, as well as the difference of fasting plasma-glucose (FPG), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), diastolic blood pressure (DBP) between baseline and follow-up, Cox Proportional-Hazards regression analysis indicated that T2DM risk of baseline BMI overweight group, BMI obesity group, abnormal WC group and abnormal WHtR group were significantly higher than that of the corresponding baseline normal groups , and the incidence risk of T2DM reached the highest for those whose baseline BMI, WC and WHtR were all abnormal, the corresponding HR (95%CI) were 2.05 (1.62-2.59), 3.01 (2.33-3.90), 2.34 (1.89-2.90), 2.88 (2.21-3.74), 3.32 (2.50-4.40), respectively. Whether baseline BMI/WC was normal or not, T2DM risk increased if baseline WHtR was abnormal, and the HR (95%CI) of baseline normal BMI/abnormal WHtR group, baseline abnormal BMI/abnormal WHtR group, baseline normal WC/abnormal WHtR group, baseline abnormal WC/abnormal WHtR group were 1.88 (1.29-2.74), 3.08 (2.34-4.05), 2.15(1.53-3.00), 3.22 (2.45-4.23), respectively. The analysis for dynamic changes of BMI, WC, and WHtR indicated that in baseline normal WC or WHtR group, T2DM risk increased when baseline normal WC or WHtR developed abnormal at follow-up, and the corresponding HR (95%CI) were 1.79 (1.26-2.55), 2.12(1.32-3.39), respectively. In baseline abnormal WC or WHtR group, T2DM risk decresed when baseline abnormal WC or WHtR reversed to normal at follow-up, and the corresponding HR (95%CI) were 2.16 (1.42-3.29), 2.62 (1.63-4.20), respectively. CONCLUSION BMI, WC, and WHtR were associated with increased T2DM risk. The more abnormal aggregation of BMI, WC, and WHtR presents, the higher T2DM risk was. T2DM risk could be decreased when abnormal WC or WHtR reversed to normal.
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Wang JH, Wang XY, Fei R, Zhang HY, Wei L. [Tetracycline-inducible replications of wild-type and an adefovir-dipivoxil-resistant hepatitis B virus in human liver cells]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2017; 50:351-6. [PMID: 27029368 DOI: 10.3760/cma.j.issn.0253-9624.2016.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To establish cell lines with inducible replications of wild-type or rtE218G, an adefovir-dipivoxil-resistant HBV mutant. METHODS Tetracycline transactivator (tTA) was stably transfected into human liver cell line HepG2.1.2 folds of full-length of wild-type or rtE218G-mutated HBV genomes were cloned into the pTRE vector and cotransfected into the tTA-expressing cells with a linear selection marker for hygromycin, respectively. After hygromycin screening, clones with the highest levels of tetracycline-inducible HBV replications were selected. The obtained cell lines were further used to evaluate the in vitro sensitivity of rtE218G mutant to adefovir-dipivoxil. RESULTS HepG2-off23, a HepG2-derived cell line with stable tTA expression was established. PTRE-based plasmids carrying wild-type HBV (pTRE-HBV-WT) or rtE218G mutant (pTRE-HBV-E218GHBV) were constructed. After stable transfection of the HBV constructs into HepG2-off23 cells, cell lines with robust and tetracycline-inducible replications of wild-type HBV (HepG2-tetHBV-WT) and rtE218G-mutated HBV (HepG2-tetHBV-E218G) were selected. In the two cell lines, high levels of viral core protein and DNA replication could be detected after 144 hours of culture, which could be potently inhibited when tetracycline was added into the medium. At the presence of 1 000 ng/ml of tetracycline, HBV replication intermediates were hardly detected by Southern blotting experiments. HBV mutant with rtE218G could independently confer resistance to adefovir in vitro. IC50 for HBV rtE218G mutant of adefovir was (6.49±0.09) μmol/L, which was significantly higher than that for wild type virus (2.49±0.05) μmol/L. CONCLUSION Wild-type and the rtE218G HBV mutant could be expressed and efficiently regulated by tetracycline in the established new cell lines. These cell lines could be useful tools for the HBV virology and anti-HBV drug screening studies.
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Cai Q, Meng WY, Zhang HY, Wang HL, Qi H, Zhou YM. [Immediate restoration of dental implant using computer-assisted navigation in the esthetic zone: a case report]. ZHONGHUA KOU QIANG YI XUE ZA ZHI = ZHONGHUA KOUQIANG YIXUE ZAZHI = CHINESE JOURNAL OF STOMATOLOGY 2017; 52:57-58. [PMID: 28072998 DOI: 10.3760/cma.j.issn.1002-0098.2017.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
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Ablikim M, Achasov MN, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chang JF, Chelkov G, Chen G, Chen HS, Chen HY, Chen JC, Chen ML, Chen S, Chen SJ, Chen X, Chen XR, Chen YB, Cheng HP, Chu XK, Cibinetto G, 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, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Fedorov O, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao XY, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo RP, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Hao XQ, Harris FA, He KL, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang Y, Huang ZL, Hussain T, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li K, Li K, Li L, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li YB, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Loehner H, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schoenning K, Schumann S, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi M, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun XH, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Ullrich M, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang W, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang ZY, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YX, Ye M, Ye MH, Yin JH, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan WL, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang C, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang Y, Zhang YH, Zhang YN, Zhang YT, 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 QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Amplitude Analysis of the Decays η^{'}→π^{+}π^{-}π^{0} and η^{'}→π^{0}π^{0}π^{0}. PHYSICAL REVIEW LETTERS 2017; 118:012001. [PMID: 28106414 DOI: 10.1103/physrevlett.118.012001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Indexed: 06/06/2023]
Abstract
Based on a sample of 1.31×10^{9} J/ψ events collected with the BESIII detector, an amplitude analysis of the isospin-violating decays η^{'}→π^{+}π^{-}π^{0} and η^{'}→π^{0}π^{0}π^{0} is performed. A significant P-wave contribution from η^{'}→ρ^{±}π^{∓} is observed for the first time in η^{'}→π^{+}π^{-}π^{0}. The branching fraction is determined to be B(η^{'}→ρ^{±}π^{∓})=(7.44±0.60±1.26±1.84)×10^{-4}, where the first uncertainty is statistical, the second systematic, and the third model dependent. In addition to the nonresonant S-wave component, there is a significant σ meson component. The branching fractions of the combined S-wave components are determined to be B(η^{'}→π^{+}π^{-}π^{0})_{S}=(37.63±0.77±2.22±4.48)×10^{-4} and B(η^{'}→π^{0}π^{0}π^{0})=(35.22±0.82±2.54)×10^{-4}, respectively. The latter one is consistent with previous BESIII measurements.
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Ablikim M, Achasov MN, Ahmed S, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Bakina O, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chai J, Chang JF, Chelkov G, Chen G, Chen HS, Chen JC, Chen ML, Chen S, Chen SJ, Chen X, Chen XR, Chen YB, Cheng HP, Chu XK, Cibinetto G, 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, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Fegan S, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo RP, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang Y, Huang ZL, Hussain T, Ikegami Andersson W, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li K, Li K, Li L, Li PL, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li YB, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu YY, Liu ZA, Liu Z, Loehner H, Long YF, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Musiol P, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schnier C, Schoenning K, Schumann S, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi M, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun XH, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang W, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang ZY, Weber T, Wei DH, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YX, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan WL, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang C, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang Y, Zhang Y, Zhang YH, Zhang YN, Zhang YT, 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 QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Measurement of Singly Cabibbo Suppressed Decays Λ_{c}^{+}→pπ^{+}π^{-} and Λ_{c}^{+}→pK^{+}K^{-}. PHYSICAL REVIEW LETTERS 2016; 117:232002. [PMID: 27982610 DOI: 10.1103/physrevlett.117.232002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Indexed: 06/06/2023]
Abstract
Using 567 pb^{-1} of data collected with the BESIII detector at a center-of-mass energy of sqrt[s]=4.599 GeV, near the Λ_{c}^{+}Λ[over ¯]_{c}^{-} threshold, we study the singly Cabibbo-suppressed decays Λ_{c}^{+}→pπ^{+}π^{-} and Λ_{c}^{+}→pK^{+}K^{-}. By normalizing with respect to the Cabibbo-favored decay Λ_{c}^{+}→pK^{-}π^{+}, we obtain ratios of branching fractions: [B(Λ_{c}^{+}→pπ^{+}π^{-})/B(Λ_{c}^{+}→pK^{-}π^{+})]=(6.70±0.48±0.25)%, [B(Λ_{c}^{+}→pϕ)/B(Λ_{c}^{+}→pK^{-}π^{+})]=(1.81±0.33±0.13)%, and [B(Λ_{c}^{+}→pK^{+}K_{non-ϕ}^{-})/B(Λ_{c}^{+}→pK^{-}π^{+})]=(9.36±2.22±0.71)×10^{-3}, where the uncertainties are statistical and systematic, respectively. The absolute branching fractions are also presented. Among these measurements, the decay Λ_{c}^{+}→pπ^{+}π^{-} is observed for the first time, and the precision of the branching fraction for Λ_{c}^{+}→pK^{+}K_{non-ϕ}^{-} and Λ_{c}^{+}→pϕ is significantly improved.
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He Y, Jian CX, Zhang HY, Zhou Y, Wu X, Zhang G, Tan YH. Hypoxia enhances periodontal ligament stem cell proliferation via the MAPK signaling pathway. GENETICS AND MOLECULAR RESEARCH 2016; 15:gmr-15-04-gmr.15048965. [PMID: 27886339 DOI: 10.4238/gmr15048965] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
There is high incidence of periodontal disease in high-altitude environments; hypoxia may influence the proliferation and clone-forming ability of periodontal ligament stem cells (PDLSCs). The MAPK signaling pathway is closely correlated with cell proliferation, differentiation, and apoptosis. Thus, we isolated and cultured PDLSCs under hypoxic conditions to clarify the impact of hypoxia on PDLSC proliferation and the underlying mechanism. PDLSCs were separated and purified by the limiting dilution method and identified by flow cytometry. PDLSCs were cultured under hypoxic or normoxic conditions to observe their cloning efficiency. PDLSC proliferation at different oxygen concentrations was evaluated by MTT assay. Expression of p38/MAPK and MAPK/ERK signaling pathway members was detected by western blotting. Inhibitors for p38/MAPK or ERK were applied to PDLSCs to observe their impacts on clone formation and proliferation. Isolated PDLSCs exhibited typical stem cell morphological characteristics, strong abilities of globular clone formation and proliferation, and upregulated expression of mesenchymal stem cell markers. Stem cell marker expression was not statistically different between PDLSCs cultured under hypoxia and normoxia (P > 0.05). The clone number in the hypoxia group was significantly higher than that in the control (P < 0.05). PDLSC proliferation under hypoxia was higher than that of the control (P < 0.001). p38 and ERK1/2 phosphorylation in hypoxic PDLSCs was markedly enhanced compared to that in the control (P < 0.05). Either P38/MAPK inhibitor or ERK inhibitor treatment reduced clone formation and proliferation. Therefore, hypoxia enhanced PDLSC clone formation and proliferation by activating the p38/MAPK and ERK/MAPK signaling pathways.
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Han XM, Zhang HY, Zhang J, Xu WJ, Liu D, Jiang T, Xu J, Li FQ. [Survey on fungi contamination and natural occurrence of mycotoxins in 94 corn feed ingredients collected from China]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2016; 50:907-911. [PMID: 27686770 DOI: 10.3760/cma.j.issn.0253-9624.2016.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Objective: To investigate fungi contamination and the natural occurrence of mycotoxins in corn feed ingredients collected from China. Methods: A total of 94 corn feed ingredient samples were collected from 8 Chinese provinces(i.e., Anhui, Hebei, Heilongjiang, Jilin, Jiangsu, Liaoning, Inner Mongolia, and Shandong)in February 2014. A tandem ultra-performance liquid chromatographymass spectrometry method was used for simultaneous detection of twelve kinds of mycotoxins, including aflatoxin(AF), type A and type B tricothecenes, and zearalenone(ZEN). Contaminated fungi were also identified and counted. Results: AF was detected in 36.2%(34/94)of samples; the concentration of AFB1 was the highest in the four AFs with the range: 0.3~181.3 μg/kg; and then followed by AFB2(range: 1.0-74.3 μg/kg). There were 7 samples(7.5%)with AFB1 concentrations higher than the tolerance limit of 50 μg/kg. The concentration of type A tricothecenes in all samples was lower(0.1-10.5 μg/kg). DON had the most serious contamination than other kind of type B tricothecenes(range: 0.7-606.6 μg/kg; median: 66.3 μg/kg). The DON concentration in all samples was below the tolerance limit of 1 000 μg/kg. ZEN was detected in 76.6%(72/ 94)of samples(median: 36.9 μg/kg), with 3 samples having ZEN concentrations higher than the tolerance limit of 500 μg/kg. The survey on fungi contamination showed that all samples were contaminated by fungi(range: 5.0-1.4×105 CFU/g). There were 18 and 3 samples with quantities of fungi higher than the tolerance and forbidden limits, respectively. The Aspergillus, Penicillium, Fusarium, Trichoderma and Mucor genuses were the predominant fungi in corn feed ingredients, with detection rates of 71.3%(67), 60.6%(57), 71.3%(67), 27.7%(26), and 24.5%(23), respectively. The detection rate of Fusarium moniliforme, 73.4%(69/94)was higher than that of Aspergillus flavus, 41.5%(39/94). Conclusion: In this survey, the corn feed ingredients were not seriously contaminated by AF and type A tricothecenes but mainly contaminated by type B trichothecenes, including DON and its derivatives, as well as ZEN. They were also contaminated by fungi such as Aspergillus, Penicillium, and Fusarium.
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Wang SQ, Zhang HY, Li ZL. Small-Scale Spatio-Temporal Distribution of Bactrocera minax (Enderlein) (Diptera: Tephritidae) Using Probability Kriging. NEOTROPICAL ENTOMOLOGY 2016; 45:453-462. [PMID: 26935208 DOI: 10.1007/s13744-016-0384-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2015] [Accepted: 02/16/2016] [Indexed: 06/05/2023]
Abstract
Understanding spatio-temporal distribution of pest in orchards can provide important information that could be used to design monitoring schemes and establish better means for pest control. In this study, the spatial and temporal distribution of Bactrocera minax (Enderlein) (Diptera: Tephritidae) was assessed, and activity trends were evaluated by using probability kriging. Adults of B. minax were captured in two successive occurrences in a small-scale citrus orchard by using food bait traps, which were placed both inside and outside the orchard. The weekly spatial distribution of B. minax within the orchard and adjacent woods was examined using semivariogram parameters. The edge concentration was discovered during the most weeks in adult occurrence, and the population of the adults aggregated with high probability within a less-than-100-m-wide band on both of the sides of the orchard and the woods. The sequential probability kriged maps showed that the adults were estimated in the marginal zone with higher probability, especially in the early and peak stages. The feeding, ovipositing, and mating behaviors of B. minax are possible explanations for these spatio-temporal patterns. Therefore, spatial arrangement and distance to the forest edge of traps or spraying spot should be considered to enhance pest control on B. minax in small-scale orchards.
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Zhang HY, Zhang M, Shi WH, Hu DS. [Research progress of risk assessment model of type 2 diabetes mellitus]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2016; 50:836-840. [PMID: 27655609 DOI: 10.3760/cma.j.issn.0253-9624.2016.09.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Established models of type 2 diabetes mellitus(T2DM)are used to determine predictors with the aim of disease prevention. Established models are used to determine predictors, then assign risk scores or calculate the probability of T2DM development within a certain timeframe. A number of countries and regions have established T2DM risk assessment models, which can be divided into non-invasive and invasive tools, depending on whether they use routinely collected information or laboratory markers. Here, we review the latest progress of two assessment models at the national and international levels, and explore and summarize their applications. The noninvasive Finnish Diabetes Risk Score and the invasive Framingham model are widely used internationally. However, invasive models were more widely applied, as studies on T2DM risk assessment models started relatively late in China.
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Hu ZG, Huang PB, Zhou ZY, He CC, Zhang HY, Li WB, Xiao ZY, Zhang JL, Xu YY, Xu K, Fang CH, Wang J. [The application value of two-dimensional image technology and three-dimensional visualization technology in hepatocellular carcinoma treated by associating liver partition and portal vein ligation for staged hepatectomy: a preliminary study]. ZHONGHUA WAI KE ZA ZHI [CHINESE JOURNAL OF SURGERY] 2016; 54:686-91. [PMID: 27587212 DOI: 10.3760/cma.j.issn.0529-5815.2016.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To preliminarily explore the application value of two-dimensional image technology and three-dimensional visualization technology in hepatocellular carcinoma(HCC) treated by associating liver partition and portal vein ligation for staged hepatectomy(ALPPS). METHODS Clinical data of nineteen HCC patients treated by ALPPS were retrospectively analyzed in Sun-Yat-Sen Memorial Hospital of Sun Yat-Sen University from August 2013 to May 2015.Preoperative assessment, surgical planning and intraoperative guidance were assisted by traditional two-dimensional imaging technology(group 2D) in 15 cases, and the rest 4 cases were assisted by three-dimensional visualization technology(group 3D). RESULTS Three-dimensional visualization technology offered precise, visual, and distinct images, calculated the liver volume precisely, achieved virtual simulation operations, and assisted the formulation of intraoperative decisions.The mean operation time of the first stage were(331.3±61.7)minutes and (261.3±21.4)minutes in group 2D and group 3D, and the mean volume of intraoperative bleedings were (360.7±51.9)ml and (300.0±40.8)ml, respectively.The mean operation time of the second stage were (199.3±41.0)minutes and (170.0±29.4)minutes in group 2D and group 3D, and the mean volume of intraoperative bleedings were (285.3±132.6)ml and (257.5±99.5)ml, respectively.The mean interval time between two stages of operations were (15.3±6.5)d and (13.8±5.1)d in group 2D and group 3D, and the mean hospital stays were (39.3±5.8)d and (31.5±7.5)d, respectively.There were 4 cases and 12 cases who accepted the second stage operation in group 2D and group 3D respectively.There were 7 cases(4 with grade A, 2 with grade B, 1 with grade C) and 2 cases(1 with grade A, 1 with grade B) with post-hepatectomy liver failure and 9 cases(4 with grade Ⅰ, 2 with grade Ⅱ, 1 with grade Ⅲ, 2 with grade Ⅳ) and 3 cases (1 with grade Ⅰ, 1 with grade Ⅱ, 1 with grade Ⅲ)with postoperative complications in group 2D and group 3D respectively.There were 2 cases and 0 case died after operation in group 2D and group 3D respectively.There were 3 cases and 1 case who were recurrent and 4 cases and 1 case died 6 months after surgery in group 2D and group 3D respectively. CONCLUSION Three-dimensional visualization technology assisted the formulation of preoperative assessments and surgical planning individually and precisely, which displayed potential application value in HCC treated by ALPPS.
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Liang YH, Tang CL, Lu SY, Cheng B, Wu F, Chen ZN, Song F, Ruan JX, Zhang HY, Song H, Zheng H, Su ZH. Serum metabonomics study of the hepatoprotective effect of Corydalis saxicola Bunting on carbon tetrachloride-induced acute hepatotoxicity in rats by 1 H NMR analysis. J Pharm Biomed Anal 2016; 129:70-79. [DOI: 10.1016/j.jpba.2016.06.033] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2016] [Revised: 05/27/2016] [Accepted: 06/19/2016] [Indexed: 11/27/2022]
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Sun XC, Zhang AC, Tong LL, Wang K, Wang X, Sun ZQ, Zhang HY. miR-146a and miR-196a2 polymorphisms in ovarian cancer risk. GENETICS AND MOLECULAR RESEARCH 2016; 15:gmr8468. [PMID: 27706635 DOI: 10.4238/gmr.15038468] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
We investigated the relationship between miR-146a and miR-196a2 genetic polymorphisms and development of ovarian cancer in a Chinese population. A total of 134 patients and 227 control subjects were involved in our study between January 2012 and October 2014 from China-Japan Union Hospital of Jilin University. Genotyping of miR-146a and miR-196a2 was accomplished by polymerase chain reaction coupled with restriction fragment length polymorphism analysis. Unconditional multiple-logistic regression analysis indicated that the GG genotype of miR-146a was associated with an increased risk of ovarian cancer when compared to the CC genotype, and the adjusted OR (95%CI) was 3.73 (1.79-7.80). Moreover, the CG+GG genotype of miR-146a was associated with an increased risk of ovarian cancer compared with the CC genotype (OR = 1.68, 95%CI = 1.06-2.66), and the GG genotype had a higher risk of ovarian cancer than the CC+CG genotype (OR = 3.02, 95%CI = 1.55-5.98). In conclusion, our study suggests that the miR-146a polymorphism is associated with increased risk of ovarian cancer and could be used as a biomarker for ovarian cancer susceptibility.
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Zhang HG, Zhang XY, Zhang HY, Tian T, Xu SB, Liu RZ. Balanced reciprocal translocation at amniocentesis: cytogenetic detection and implications for genetic counseling. GENETICS AND MOLECULAR RESEARCH 2016; 15:gmr8556. [PMID: 27706592 DOI: 10.4238/gmr.15038556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Balanced translocation is a common structural chromosomal rearrangement in humans. Carriers can be phenotypically normal but have an increased risk of pregnancy loss, fetal death, and the transmission of chromosomal abnormalities to their offspring. Existing prenatal screening technologies and diagnostic procedures fail to detect balanced translocation, so genetic counseling for carriers remains a challenge. Here, we report the characteristics of chromosomal reciprocal translocation in 3807 amniocentesis cases. Of the 16 detected cases of fetal reciprocal translocation, 8 cases (50%) showed positive biochemical marker screening; 3 cases (18.75%) were the parental carriers of a chromosomal abnormality; 2 (12.5%) were of advanced maternal age, 2 (12.5%) had a previous history of children with genetic disorders, and 1 case (6.25%) was associated with positive soft markers in obstetric ultrasound. Chromosomes 5 and 19 were the most commonly involved chromosomes in balanced translocations. Of the 13 cases with fetal balanced translocations, 8 (61.5%) were inherited from a paternal chromosome, 3 (23.1%) from a maternal chromosome, and 2 (15.4%) cases were de novo. The incidence of balanced translocation at amniocentesis was 0.42%. Male carriers of reciprocal chromosome translocation appear to have a higher chance of becoming a parent of a child born by normal childbirth than female carriers.
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Ablikim M, Achasov MN, Ahmed S, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Berger N, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chang JF, Chelkov G, Chen G, Chen HS, Chen HY, Chen JC, Chen ML, Chen S, Chen SJ, Chen X, Chen XR, Chen YB, Cheng HP, Chu XK, Cibinetto G, 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, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Fedorov O, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao XY, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo RP, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Hao XQ, Harris FA, He KL, Heinsius FH, Held T, Heng YK, Holtmann T, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang YP, Huang JS, Huang XT, Huang XZ, Huang Y, Huang ZL, Hussain T, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Leithoff H, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li K, Li K, Li L, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li YB, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu YY, Liu ZA, Liu Z, Loehner H, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Mezzadri G, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Musiol P, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schnier C, Schoenning K, Schumann S, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi M, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun XH, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang SG, Wang W, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang ZY, Weber T, Wei DH, Wei JB, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YX, Ye M, Ye MH, Yin JH, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan WL, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang C, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang Y, Zhang YH, Zhang YN, Zhang YT, 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 QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Observation of an Anomalous Line Shape of the η^{'}π^{+}π^{-} Mass Spectrum near the pp[over ¯] Mass Threshold in J/ψ→γη^{'}π^{+}π^{-}. PHYSICAL REVIEW LETTERS 2016; 117:042002. [PMID: 27494467 DOI: 10.1103/physrevlett.117.042002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Indexed: 06/06/2023]
Abstract
Using 1.09×10^{9} J/ψ events collected by the BESIII experiment in 2012, we study the J/ψ→γη^{'}π^{+}π^{-} process and observe a significant abrupt change in the slope of the η^{'}π^{+}π^{-} invariant mass distribution at the proton-antiproton (pp[over ¯]) mass threshold. We use two models to characterize the η^{'}π^{+}π^{-} line shape around 1.85 GeV/c^{2}: one that explicitly incorporates the opening of a decay threshold in the mass spectrum (Flatté formula), and another that is the coherent sum of two resonant amplitudes. Both fits show almost equally good agreement with data, and suggest the existence of either a broad state around 1.85 GeV/c^{2} with strong couplings to the pp[over ¯] final states or a narrow state just below the pp[over ¯] mass threshold. Although we cannot distinguish between the fits, either one supports the existence of a pp[over ¯] moleculelike state or bound state with greater than 7σ significance.
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Li LL, Zhang HG, Shao XG, Gao JC, Zhang HY, Liu RZ. De novo interstitial deletion in the long arm of chromosome 11: a case report. GENETICS AND MOLECULAR RESEARCH 2016; 15:gmr8403. [PMID: 27421024 DOI: 10.4238/gmr.15028403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The 11q terminal deletion disorder is a rare genetic disorder associated with numerous clinical features. A few case reports have been made about de novo interstitial deletion of chromosome 11q. However, due to the heterogeneity in size and position of the deletions, a clear genotype-phenotype correlation is not easily made. Here we report a case interstitial 20.5-Mb deletion at chromosome 11q13.4q21, as confirmed by array comparative genomic hybridization. Dysmorphic features such as coarse facial features, congenital laryngomalacia, oblique inguinal hernia, high-arched palate, and camptodactyly were observed in the subject. The present case broadens the spectrum of clinical findings observed in individuals with 11q interstitial deletion.
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Zhang Y, Wu SS, Yang P, Li C, Chu YH, Hua WY, Zhang HY, Tang YQ, Li HJ, Wang QY. Association between socio-economic status indicators and adoption of preventive measures for influenza among Beijing residents: a cross-sectional study. Public Health 2016; 140:282-285. [PMID: 27341778 DOI: 10.1016/j.puhe.2016.05.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 04/20/2016] [Accepted: 05/25/2016] [Indexed: 10/21/2022]
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Ablikim M, Achasov MN, Ai XC, Albayrak O, Albrecht M, Ambrose DJ, Amoroso A, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Bennett DW, Bennett JV, Bertani M, Bettoni D, Bian JM, Bianchi F, Boger E, Boyko I, Briere RA, Cai H, Cai X, Cakir O, Calcaterra A, Cao GF, Cetin SA, Chang JF, Chelkov G, Chen G, Chen HS, Chen HY, Chen JC, Chen ML, Chen S, Chen SJ, Chen X, Chen XR, Chen YB, Cheng HP, Chu XK, Cibinetto G, 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, Dou ZL, Du SX, Duan PF, Fan JZ, Fang J, Fang SS, Fang X, Fang Y, Farinelli R, Fava L, Fedorov O, Feldbauer F, Felici G, Feng CQ, Fioravanti E, Fritsch M, Fu CD, Gao Q, Gao XL, Gao XY, Gao Y, Gao Z, Garzia I, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo RP, Guo Y, Guo YP, Haddadi Z, Hafner A, Han S, Hao XQ, Harris FA, He KL, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang JS, Huang XT, Huang XZ, Huang Y, Huang ZL, Hussain T, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LW, Jiang XS, Jiang XY, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Julin A, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Ke BC, Kiese P, Kliemt R, Kloss B, Kolcu OB, Kopf B, Kornicer M, Kupsc A, Kühn W, Lange JS, Lara M, Larin P, Leng C, Li C, Li C, Li DM, Li F, Li FY, Li G, Li HB, Li HJ, Li JC, Li J, Li K, Li K, Li L, Li PR, Li QY, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li YB, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu B, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HH, Liu HM, Liu J, Liu JB, Liu JP, Liu JY, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Loehner H, Lou XC, Lu HJ, Lu JG, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma T, Ma XN, Ma XY, Ma YM, Maas FE, Maggiora M, Mao YJ, Mao ZP, Marcello S, Messchendorp JG, Min J, Mitchell RE, Mo XH, Mo YJ, Morales Morales C, Muchnoi NY, Muramatsu H, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Niu SL, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pan Y, Patteri P, Pelizaeus M, Peng HP, Peters K, Pettersson J, Ping JL, Ping RG, Poling R, Prasad V, Qi HR, Qi M, Qian S, Qiao CF, Qin LQ, Qin N, Qin XS, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Rosner C, Ruan XD, Sarantsev A, Savrié M, Schoenning K, Schumann S, Shan W, Shao M, Shen CP, Shen PX, Shen XY, Sheng HY, Shi M, Song WM, Song XY, Sosio S, Spataro S, Sun GX, Sun JF, Sun SS, Sun XH, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Tiemens M, Ullrich M, Uman I, Varner GS, Wang B, Wang BL, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang SG, Wang W, Wang WP, Wang XF, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wang ZY, Weber T, Wei DH, Wei JB, Weidenkaff P, Wen SP, Wiedner U, Wolke M, Wu LH, Wu LJ, Wu Z, Xia L, Xia LG, Xia Y, Xiao D, Xiao H, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu JJ, Xu L, Xu QJ, Xu QN, Xu XP, Yan L, Yan WB, Yan WC, Yan YH, Yang HJ, Yang HX, Yang L, Yang YX, Ye M, Ye MH, Yin JH, Yu BX, Yu CX, Yu JS, Yuan CZ, Yuan WL, Yuan Y, Yuncu A, Zafar AA, Zallo A, Zeng Y, Zeng Z, Zhang BX, Zhang BY, Zhang C, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang J, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang K, Zhang L, Zhang SQ, Zhang XY, Zhang Y, Zhang YH, Zhang YN, Zhang YT, 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 QW, Zhao SJ, Zhao TC, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng WJ, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu S, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zotti L, Zou BS, Zou JH. Observation of h_{c} Radiative Decay h_{c}→γη^{'} and Evidence for h_{c}→γη. PHYSICAL REVIEW LETTERS 2016; 116:251802. [PMID: 27391715 DOI: 10.1103/physrevlett.116.251802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Indexed: 06/06/2023]
Abstract
A search for radiative decays of the P-wave spin singlet charmonium resonance h_{c} is performed based on 4.48×10^{8} ψ^{'} events collected with the BESIII detector operating at the BEPCII storage ring. Events of the reaction channels h_{c}→γη^{'} and γη are observed with a statistical significance of 8.4σ and 4.0σ, respectively, for the first time. The branching fractions of h_{c}→γη^{'} and h_{c}→γη are measured to be B(h_{c}→γη^{'})=(1.52±0.27±0.29)×10^{-3} and B(h_{c}→γη)=(4.7±1.5±1.4)×10^{-4}, respectively, where the first errors are statistical and the second are systematic uncertainties.
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Zhang HY, Jian WY, Fang H. [Analysis of substitutional effect of outpatient expenditure on inpatient expenditure in hypertensive patients with rural new cooperative medical scheme]. BEIJING DA XUE XUE BAO. YI XUE BAN = JOURNAL OF PEKING UNIVERSITY. HEALTH SCIENCES 2016; 48:472-477. [PMID: 27318910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
OBJECTIVE To study direct medical cost of hypertensive patients without complicated diseases, to analyze substitution impacts of outpatient expenditure on inpatient expenditure, and then to make recommendations to health policy makers and hypertensive patients for managing hypertension. METHODS The claims data of hypertensive patients insured by the rural new cooperative medical scheme in a city in northern China from 2008 to 2013 were analyzed, descriptive statistics employed to analyze direct medical cost of hypertensive patients and hypertensive patients without complicated diseases which was one of the three groups divided by medical treatment conditions (hypertension without complicated diseases, hypertension with complicated diseases, and other diseases), and the differences between groups compared by t test. The fixed effect two-part model was employed to analyze the substitution effect of outpatient services on inpatient services, and specific effects of outpatient times and reimbursement expenses on the inpatient expenditure were calculated by Logistic regression analysis. RESULTS For the hypertensive patients, the average cost of outpatients was 283.49 Yuan in 2008 and rose to 370.93 Yuan in 2013. After being divided into three groups, for hypertensive patients without complicated diseases, the average cost of outpatient was 449.79 Yuan in 2008 and rose to 582.53 Yuan in 2013. In the total cost of the outpatient, 45.73% was for the hypertensive patients without complicated diseases; in the total cost of the inpatient, only 9.29% was for the hypertensive patients without complicated diseases. By calculating the marginal effect of parameter estimation through the fixed effect two-part model, the inpatient cost could be significantly reduced by increasing the visit times of outpatient utilization or the cost of outpatient reimbursement. For example, in 2013, a 1% rise of outpatient visit times increased outpatient expenditures by 6.48 million Yuan, which could reduce inpatient expenditures by 39.86 million Yuan. The substituted ratio of outpatient cost on inpatient cost had been around 5 in 2010 and later. CONCLUSION The health policy-makers and hypertensive patients should pay more attentions to the substitution of outpatient cost for inpatient cost, especially for the hypertensive patients without complicated diseases whose direct medical cost was mainly due to outpatient rather than inpatient costs.
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Zhang HY, Shi WH, Zhang M, Yin L, Pang C, Feng TP, Zhang L, Ren YC, Wang BY, Yang XY, Zhou JM, Han CY, Zhao Y, Zhao JZ, Hu DS. [Establishing a noninvasive prediction model for type 2 diabetes mellitus based on a rural Chinese population]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2016; 50:397-403. [PMID: 27141894 DOI: 10.3760/cma.j.issn.0253-9624.2016.05.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To provide a noninvasive type 2 diabetes mellitus (T2DM) prediction model for a rural Chinese population. METHODS From July to August, 2007 and July to August, 2008, a total of 20 194 participants aged ≥18 years were selected by cluster sampling technique from a rural population in two townships of Henan province, China. Data were collected by questionnaire interview, anthropometric measurement, and fasting plasma glucose and lipid profile examination. A total 17 265 participants were followed up from July to August, 2013 and July to October, 2014. Finally, 12 285 participants were selected for analysis. Data for these participants were randomly divided into a derivation group (derivation dataset, n= 6 143) and validation group (validation dataset, n=6 142) by 1∶1, respectively. Randomization was carried out by the use of computer-generated random numbers. A Cox regression model was used to analyze risk factors of T2DM in the derivation dataset. A T2DM prediction model was established by multiplying β by 10 for each significant variable. After the total score was calculated by the model, analysis of the receiver operating characteristic (ROC) curve was performed. The area under the ROC curve (AUC) was used for evaluating model predictability. Furthermore, the model's predictability was validated in the validation dataset and compared with the Finnish Diabetes Risk Score (FINDRISC) model. RESULTS A total 779 of 12 285 participants developed T2DM during the 6-year study period. The incidence rate was 6.12% in the derivation dataset (n=376) and 6.56% in the validation dataset (n=403). The difference was not statistically significant (χ(2)=1.00, P=0.316). A total of four noninvasive T2DM prediction models were established using the Cox regression model. The ROCs of the risk score calculated by the prediction models indicated that the AUCs of these models were similar (0.67-0.70). The AUC and Youden index of model 4 was the highest. The optimal cut-off value, sensitivity, specificity, and Youden index were scores of 25, 65.96%, 66.47%, and 0.32, respectively. Age, sleep time, BMI, waist circumference, and hypertension were selected as predictive variables. Using age<30 years as reference, β values were 1.07, 1.58, and 1.67 and assigned scores were 11, 16, and 17 for age groups 30-44, 45-59, and ≥60 years, respectively. Using sleep time<8.0 h/d as reference, the β value and assigned score were 0.27 and 3, respectively, for sleep time ≥10.0 h/d. Using BMI 18.5-23.9 kg/m(2) as reference, β values were 0.53 and 1.00 and assigned scores 5 and 10, respectively, for BMI 24.0-27.9 kg/m(2), and ≥28.0 kg/m(2). Using waist circumference <85 cm for males/< 80 cm for females as reference, β values were 0.44 and 0.65 and assigned scores 4 and 7, respectively, for 85 cm ≤ waist circumference <90 cm for males/80 cm≤ waist circumference <85 cm for females, and waist circumference ≥90 cm for males/≥85 cm for females. Using nonhypertension as reference, the respective β value and assigned score were 0.34 and 3 for hypertension. The AUC performance of this model and the FINDRISC model was 0.66 and 0.64 (P=0.135), respectively, in the validation dataset. CONCLUSION Based on this cohort study, a noninvasive prediction model that included age, sleep time, BMI, waist circumference, and hypertension was established, which is equivalent to the FINDRISC model and applicable to a rural Chinese population.
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