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Chen M, Hu C, Zhang R, Jiang F, Wang J, Peng D, Tang S, Sun X, Yan J, Luo Y, Bao Y, Jia W. Association of PAX4 genetic variants with oral antidiabetic drugs efficacy in Chinese type 2 diabetes patients. THE PHARMACOGENOMICS JOURNAL 2014; 14:488-92. [PMID: 24752311 DOI: 10.1038/tpj.2014.18] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2014] [Revised: 02/14/2014] [Accepted: 02/26/2014] [Indexed: 11/09/2022]
Abstract
The aim of this study was to investigate the association of PAX4 variants with therapeutic effect of oral antidiabetic drugs in Chinese type 2 diabtes mellitus (T2DM) patients. A total of 209 newly diagnosed T2DM patients were randomly assigned to treatment with repaglinide or rosiglitazone for 48 weeks, and the therapeutic effects were compared. In the rosiglitazone cohort, rs6467136 GA+AA carriers showed greater decrease in 2-h glucose levels (P=0.0063) and higher cumulative attainment rates of target 2-h glucose levels (Plog rank=0.0093) than GG homozygotes. In the subgroup with defective β-cell function, rs6467136 GA+AA carriers exhibited greater decrements of 2-h glucose level and improvement of homeostasis model assessment of insulin resistance (P=0.0143). Moreover, GA+AA carriers were more likely to attain the target fasting and 2-h glucose level (Plog rank=0.0091 and 0.007, respectively). However, these single-nucleotide polymorphisms showed no effect on repaglinide efficacy. In conclusion, PAX4 variant rs6467136 was associated with the therapeutic effect of rosiglitazone in Chinese T2DM patients.
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Ablikim M, Achasov MN, Albayrak O, Ambrose DJ, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Becker J, Bennett JV, Bertani M, Bian JM, Boger E, Bondarenko O, Boyko I, Braun S, Briere RA, Bytev V, 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 SJ, Chen XR, Chen YB, Cheng HP, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, Ding WM, Ding Y, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fava L, Feng CQ, Friedel P, Fu CD, Fu JL, Fuks O, Gao Y, Geng C, Goetzen K, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo T, Guo YP, Han YL, Harris FA, He KL, He M, He ZY, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Huang GM, Huang GS, Huang JS, Huang L, Huang XT, Huang Y, Hussain T, Ji CS, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kloss B, Kopf B, Kornicer M, Kuehn W, Lai W, Lange JS, Lara M, Larin P, Leyhe M, Li CH, Li C, Li C, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li PR, Li QJ, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Liao XT, Lin DX, Liu BJ, Liu CL, Liu CX, Liu FH, Liu F, Liu F, Liu H, Liu HB, Liu HH, Liu HM, Liu HW, Liu JP, Liu K, Liu KY, Liu LD, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Liu Z, Loehner H, Lou XC, Lu GR, Lu HJ, Lu JG, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Moeini H, Morales Morales C, Moriya K, Muchnoi NY, Muramatsu H, Nefedov Y, Nikolaev IB, Ning Z, Olsen SL, Ouyang Q, Pacetti S, Park JW, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Poling R, Prencipe E, Qi M, Qian S, Qiao CF, Qin LQ, Qin XS, Qin Y, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Rong G, Ruan XD, Sarantsev A, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song WM, Song XY, Spataro S, Spruck B, Sun DH, Sun GX, Sun JF, Sun SS, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Toth D, Ullrich M, Uman I, Varner GS, Wang B, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZY, Wei DH, Wei JB, Weidenkaff P, Wen QG, Wen SP, Werner M, Wiedner U, Wu LH, Wu N, Wu SX, Wu W, Wu Z, Xia LG, Xia YX, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu QJ, Xu QN, Xu XP, Xu ZR, Xue Z, Yan L, Yan WB, Yan YH, Yang HX, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu HW, Yu JS, Yu SP, Yuan CZ, Yuan Y, Zafar AA, Zallo A, Zang SL, Zeng Y, Zhang BX, Zhang BY, Zhang C, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang L, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang R, Zhang SH, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao HS, Zhao JW, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhu C, Zhu K, Zhu KJ, Zhu SH, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of a charged charmoniumlike structure in e+ e- → (D* D*)± π∓ at √s = 4.26 GeV. PHYSICAL REVIEW LETTERS 2014; 112:132001. [PMID: 24745407 DOI: 10.1103/physrevlett.112.132001] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2013] [Indexed: 06/03/2023]
Abstract
We study the process e+ e- →(D* D*)± π∓ at a center-of-mass energy of 4.26 GeV using a 827 pb(-1) data sample obtained with the BESIII detector at the Beijing Electron Positron Collider. Based on a partial reconstruction technique, the Born cross section is measured to be (137±9±15) pb. We observe a structure near the (D* D*)± threshold in the π∓ recoil mass spectrum, which we denote as the Zc±(4025). The measured mass and width of the structure are (4026.3±2.6±3.7) MeV/c2 and (24.8±5.6±7.7) MeV, respectively. Its production ratio σ(e+ e- → Zc±(4025)π∓ → (D* D*)± π∓)/σ(e+ e- → (D* D*)± π∓) is determined to be 0.65±0.09±0.06. The first uncertainties are statistical and the second are systematic.
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Andrade LH, Alonso J, Mneimneh Z, Wells JE, Al-Hamzawi A, Borges G, Bromet E, Bruffaerts R, de Girolamo G, de Graaf R, Florescu S, Gureje O, Hinkov HR, Hu C, Huang Y, Hwang I, Jin R, Karam EG, Kovess-Masfety V, Levinson D, Matschinger H, O'Neill S, Posada-Villa J, Sagar R, Sampson NA, Sasu C, Stein DJ, Takeshima T, Viana MC, Xavier M, Kessler RC. Barriers to mental health treatment: results from the WHO World Mental Health surveys. Psychol Med 2014; 44:1303-1317. [PMID: 23931656 DOI: 10.1017/s003329171300194] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
BACKGROUND To examine barriers to initiation and continuation of mental health treatment among individuals with common mental disorders. METHOD Data were from the World Health Organization (WHO) World Mental Health (WMH) surveys. Representative household samples were interviewed face to face in 24 countries. Reasons to initiate and continue treatment were examined in a subsample (n = 63,678) and analyzed at different levels of clinical severity. RESULTS Among those with a DSM-IV disorder in the past 12 months, low perceived need was the most common reason for not initiating treatment and more common among moderate and mild than severe cases. Women and younger people with disorders were more likely to recognize a need for treatment. A desire to handle the problem on one's own was the most common barrier among respondents with a disorder who perceived a need for treatment (63.8%). Attitudinal barriers were much more important than structural barriers to both initiating and continuing treatment. However, attitudinal barriers dominated for mild-moderate cases and structural barriers for severe cases. Perceived ineffectiveness of treatment was the most commonly reported reason for treatment drop-out (39.3%), followed by negative experiences with treatment providers (26.9% of respondents with severe disorders). CONCLUSIONS Low perceived need and attitudinal barriers are the major barriers to seeking and staying in treatment among individuals with common mental disorders worldwide. Apart from targeting structural barriers, mainly in countries with poor resources, increasing population mental health literacy is an important endeavor worldwide.
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Andrade LH, Alonso J, Mneimneh Z, Wells JE, Al-Hamzawi A, Borges G, Bromet E, Bruffaerts R, de Girolamo G, de Graaf R, Florescu S, Gureje O, Hinkov HR, Hu C, Huang Y, Hwang I, Jin R, Karam EG, Kovess-Masfety V, Levinson D, Matschinger H, O’Neill S, Posada-Villa J, Sagar R, Sampson NA, Sasu C, Stein D, Takeshima T, Viana MC, Xavier M, Kessler RC. Barriers to mental health treatment: results from the WHO World Mental Health surveys. Psychol Med 2014; 44:1303-1317. [PMID: 23931656 PMCID: PMC4100460 DOI: 10.1017/s0033291713001943] [Citation(s) in RCA: 616] [Impact Index Per Article: 61.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND To examine barriers to initiation and continuation of mental health treatment among individuals with common mental disorders. METHOD Data were from the World Health Organization (WHO) World Mental Health (WMH) surveys. Representative household samples were interviewed face to face in 24 countries. Reasons to initiate and continue treatment were examined in a subsample (n = 63,678) and analyzed at different levels of clinical severity. RESULTS Among those with a DSM-IV disorder in the past 12 months, low perceived need was the most common reason for not initiating treatment and more common among moderate and mild than severe cases. Women and younger people with disorders were more likely to recognize a need for treatment. A desire to handle the problem on one's own was the most common barrier among respondents with a disorder who perceived a need for treatment (63.8%). Attitudinal barriers were much more important than structural barriers to both initiating and continuing treatment. However, attitudinal barriers dominated for mild-moderate cases and structural barriers for severe cases. Perceived ineffectiveness of treatment was the most commonly reported reason for treatment drop-out (39.3%), followed by negative experiences with treatment providers (26.9% of respondents with severe disorders). CONCLUSIONS Low perceived need and attitudinal barriers are the major barriers to seeking and staying in treatment among individuals with common mental disorders worldwide. Apart from targeting structural barriers, mainly in countries with poor resources, increasing population mental health literacy is an important endeavor worldwide.
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Han Q, Chen S, Yang M, Zhang Z, Chen A, Hu C, Li S. [The effect of LAMP2A shRNA on the resistance of breast cancer cells to paclitaxel]. Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi 2014; 30:351-354. [PMID: 24721399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
OBJECTIVE To prepare a recombinant lentiviral carring human lysosome-associated membrane protein type 2A (LAMP2A) gene shRNA, establish MDA-MB-231 cell line with a low expression of LAMP2A and observe the change in cell resistance to paclitaxel. METHODS Four shRNAs were designed according to the sequencing analysis of LAMP2A mRNA. The pGLV-EGFP-shRNA lentiviral vector was established by gene recombination technology and was confirmed by DNA sequencing. The lentiviral vector and the packaging vector were used to cotransfect the HEK293T cells to obtain the lentivirus against LAMP2A mRNA, and the titer of the virus was determined. The constructed shRNA lentivirus was applied to infect human breast cancer cell line MDA-MB-231, and then the cells were screened with puromycin for two weeks. The inhibitive efficacy of the shRNA on the LAMP2A protein was determined by Western blotting. After the breast cancer cell line with a low expression of LAMP2A was treated with three different concentrations of paclitaxel (1, 10, 100 nmol/L), MTT assay was performed to observe the difference in the proliferation ability between the control group and the low LAMP2A expression groups. RESULTS DNA sequencing revealed that the recombinant lentiviral plasmid was correctly constructed with the virus titer reaching 2×10(8); TU/mL. The LAMP2A protein expression in the obtained breast cancer cell line dropped drastically. After the treatment with paclitaxel at 10 and 100 nmol/L respectively, the drug resistance of cells with a low expression of LAMP2A was notably weaker than that of the control group (P<0.05). CONCLUSION The recombinant shRNA lentiviral vector against human LAMP2A gene was successfully constructed, and the breast cancer cell line MDA-MB-231 transfected with it stably expressed a low level of LAMP2A. It was proved that the down-regulation of LAMP2A could reduce the resistance of breast cancer cells to paclitaxel.
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Weiss C, Hu C, Arepally A, Singh J, Beh C, Wang J, Mao H, Shin E, Moran T, Kraitchman D. Bariatric embolization using imaging visible embolic beads, an anti-reflux microcatheter, and cone-beam CT: Short-term outcomes in a swine model. J Vasc Interv Radiol 2014. [DOI: 10.1016/j.jvir.2014.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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382
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Ablikim M, Achasov MN, Ai XC, Albayrak O, Ambrose DJ, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Bennett JV, Bertani M, Bian JM, Boger E, Bondarenko O, Boyko I, Braun S, 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 SJ, Chen X, Chen XR, Chen YB, Cheng HP, Chu XK, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, Ding WM, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fan JZ, Fang J, Fang SS, Fang Y, Fava L, Feng CQ, Fu CD, Fu JL, Fuks O, Gao Q, Gao Y, Geng C, Goetzen K, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo T, Guo YP, Han YL, Harris FA, He KL, He M, He ZY, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Huang GM, Huang GS, Huang JS, Huang L, Huang XT, Huang Y, Hussain T, Ji CS, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Johansson T, Kalantar-Nayestanaki N, Kang XL, Kang XS, Kavatsyuk M, Kloss B, Kopf B, Kornicer M, Kuehn W, Kupsc A, Lai W, Lange JS, Lara M, Larin P, Leyhe M, Li CH, Li C, Li C, Li D, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li K, Li L, Li PR, Li QJ, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Lin DX, Liu BJ, Liu CL, Liu CX, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HM, Liu J, Liu JP, Liu K, Liu KY, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Liu Z, Loehner H, Lou XC, Lu GR, Lu HJ, Lu HL, Lu JG, Lu XR, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Moeini H, Morales Morales C, Moriya K, Muchnoi NY, Muramatsu H, Nefedov Y, Nikolaev IB, Ning Z, Nisar S, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Poling R, Prencipe E, Qi M, Qian S, Qiao CF, Qin LQ, Qin XS, Qin Y, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Ruan XD, Sarantsev A, Schoenning K, Schumann S, Shan W, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song WM, Song XY, Spataro S, Spruck B, Sun GX, Sun JF, Sun SS, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Toth D, Ullrich M, Uman I, Varner GS, Wang B, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang QJ, Wang SG, Wang W, Wang XF, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wei DH, Wei JB, Weidenkaff P, Wen SP, Werner M, Wiedner U, Wolke M, Wu LH, Wu N, Wu Z, Xia LG, Xia Y, Xiao D, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu L, Xu QJ, Xu QN, Xu XP, Xue Z, Yan L, Yan WB, Yan WC, Yan YH, Yang HX, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu HW, Yu JS, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo A, Zang SL, Zeng Y, Zhang BX, Zhang BY, Zhang C, Zhang CB, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang JJ, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang SH, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao QW, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of e+e- → γX(3872) at BESIII. PHYSICAL REVIEW LETTERS 2014; 112:092001. [PMID: 24655246 DOI: 10.1103/physrevlett.112.092001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2013] [Indexed: 06/03/2023]
Abstract
With data samples collected with the BESIII detector operating at the BEPCII storage ring at center-of-mass energies from 4.009 to 4.420 GeV, the process e+e-→ γX(3872) is observed for the first time with a statistical significance of 6.3σ. The measured mass of the X(3872) is (3871.9 ± 0.7s tat ± 0.2 syst) MeV/c(2), in agreement with previous measurements. Measurements of the product of the cross section σ[e+e- → γX(3872)] and the branching fraction B[X(3872)→π+π-J/ψ] at center-of-mass energies 4.009, 4.229, 4.260, and 4.360 GeV are reported. Our measurements are consistent with expectations for the radiative transition process Y(4260) → γX(3872).
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Hu C, Wang Z, Pang Z, Lu W, Cai X, Yang J, Wang D, Cao P. Guizhi Fuling capsule, an ancient Chinese formula, attenuates endometriosis in rats via induction of apoptosis. Climacteric 2014; 17:410-6. [DOI: 10.3109/13697137.2013.876618] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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384
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Phatak U, Hu C, You Y, Feig B, Skibber J, Rodriguez-Bigas M, Cormier J, Kao L, Chang G. Primary Tumor Resection in Metastatic Colon Cancer: A Propensity Score Analysis of the National Cancer Data Base. J Surg Res 2014. [DOI: 10.1016/j.jss.2013.11.664] [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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385
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Wang X, Hu C, Ying H, He X, Zhu G. Selective Nodal Irradiation by Intensity Modulated Radiation Therapy (IMRT) for Nasopharyngeal Carcinoma (NPC) Aiming to Reduce Dysphagia and Xerostomia. Int J Radiat Oncol Biol Phys 2014. [DOI: 10.1016/j.ijrobp.2013.11.058] [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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386
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Lu ZB, Tian JC, Wang W, Xu HX, Hu C, Guo YY, Peng YF, Ye GY. Impacts of Bt rice expressing Cry1C or Cry2A protein on the performance of nontarget leafhopper, Nephotettix cincticeps (Hemiptera: Cicadellidae), under laboratory and field conditions. ENVIRONMENTAL ENTOMOLOGY 2014; 43:209-17. [PMID: 24472210 DOI: 10.1603/en13160] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Transgenic rice expressing Bacillus thuringiensis Berliner (Bt) protein can effectively control target insects including stem borers and leaf folders. However, the potential effects of Bt rice on nontarget organisms including nontarget herbivores have not been fully evaluated. In the current study, ecological fitness parameters of the nontarget herbivore, Nephotettix cincticeps (Uhler) (Hemiptera: Cicadellidae), fed on T1C-19 (Cry1C) or T2A-1 (Cry2A) rice were compared with non-Bt rice (MH63) under laboratory conditions. A 2-yr field trial was also conducted to monitor the population dynamics of N. cincticeps in the Bt and control rice plots using the vacuum-suction machine and yellow sticky card traps. Laboratory results showed that there were no significant differences in some of biological parameters including egg developmental duration, adult fresh weight, adult longevity, and oviposition period when N. cincticeps fed on Bt or non-Bt rice was compared. However, the survival rate of N. cincticeps nymphs fed on T2A-1 Bt rice plants was significantly higher than that on the control. When N. cincticeps fed on T1C-19 Bt rice plants, its nymphal duration was significantly longer and fecundity significantly lower compared with those fed on both T2A-1 Bt and non-Bt rice plants; the preoviposition period of N. cincticeps fed on T1C-19 and T2A-1 Bt rice was also significantly shorter than those on non-Bt rice. Nonetheless, both seasonal density and population dynamics of N. cincticeps adults and nymphs were similar between Bt (T1C-19 and T2A-1) and non-Bt rice plots under field conditions. In conclusion, our results indicate that our two tested Bt rice lines would not lead to higher population of N. cincticeps. Long-term experiments to monitor the population dynamics of N. cincticeps at large scale need to be carried out to confirm the current results.
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387
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Pahlevan N, Lee Z, Hu C, Schott JR. Diurnal remote sensing of coastal/oceanic waters: a radiometric analysis for Geostationary Coastal and Air Pollution Events. APPLIED OPTICS 2014; 53:648-665. [PMID: 24514182 DOI: 10.1364/ao.53.000648] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2013] [Accepted: 12/10/2013] [Indexed: 06/03/2023]
Abstract
Optical remote sensing systems aboard geostationary platforms can provide high-frequency observations of bio-optical properties in dynamical coastal/oceanic waters. From the end-user standpoint, it is recognized that the fidelity of daily science products relies heavily on the radiometric sensitivity/performance of the imaging system. This study aims to determine the theoretical detection limits for bio-optical properties observed diurnally from a geostationary orbit. The analysis is based upon coupled radiative transfer simulations and the minimum radiometric requirements defined for the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) mission. The diurnal detection limits are found for the optically active constituents of water, including near-surface concentrations of chlorophyll-a (CHL) and total suspended solids (TSS), and the absorption of colored dissolved organic matter (aCDOM). The diurnal top-of-atmosphere radiance (Lt) is modeled for several locations across the field of regard (FOR) to investigate the radiometric sensitivity at different imaging geometries. It is found that, in oceanic waters (CHL=0.07 mg/m3), detecting changes smaller than 0.01 mg/m3 in CHL is feasible for all locations and hours except for late afternoon observations on the edge of the FOR. For more trophic/turbid waters (0.6<CHL<4.5), the proposed system is found sensitive to changes (in CHL) smaller than 0.1 mg/m3 when the air mass fraction (AMF) is less than 5. For aCDOM(440), detecting the changes larger than 0.02 m(-1) (0.08<aCDOM(440)<0.36) is found feasible for most of the imaging geometries. This is equivalent to AMF<5. For TSS, changes on the order of ΔTSS=0.1 g/m3 (0.5<TSS<4.5) are detectable from early morning to late afternoon across the entire FOR. This study gives insights into the radiometric sensitivity of the GEO-CAPE mission in identifying the changes in bio-optical properties at top-of-atmosphere (TOA), which aids in a more lucid understanding of the uncertainties associated with the surface products.
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Tai D, Hu C, Lipshutz G. Elucidation of the Mechanism of Immune Tolerance Induction in Neonatal Gene Therapy. J Surg Res 2014. [DOI: 10.1016/j.jss.2013.11.509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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389
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Massarweh N, Hu C, You Y, Cormier J, Feig B, Chang G. Risk-Adjusted Pathologic Margin Positivity Rate as a Quality Indicator in Rectal Cancer Surgery. J Surg Res 2014. [DOI: 10.1016/j.jss.2013.11.350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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390
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Leu JH, Xu Z, Hu C, Mendelsohn A, Ford J, Davis HM, Zhou H. AB0269 Importance of steady-state trough concentrations after intravenous golimumab with concomitant methotrexate in patients with active rheumatoid arthritis. Ann Rheum Dis 2014. [DOI: 10.1136/annrheumdis-2013-eular.2591] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Birbara C, Blanco FJ, Crowley JJ, Hu C, Stevens R, Edwards CJ. OP0104 Apremilast, an Oral Phosphodiesterase 4 Inhibitor, in Patients with Psoriatic Arthritis Including Current Skin Involvement: Results of a Phase 3, Randomized, Controlled Trial. Ann Rheum Dis 2014. [DOI: 10.1136/annrheumdis-2013-eular.309] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Kavanaugh A, Mease PJ, Adebajo AO, Wollenhaupt J, Hu C, Shah K, Stevens RM, Gomez-Reino JJ. LB0001 Long-Term (52-Week) Results of a Phase 3, Randomized, Controlled Trial of Apremilast, an Oral Phosphodiesterase 4 Inhibitor, in Patients with Psoriatic Arthritis. Ann Rheum Dis 2014. [DOI: 10.1136/annrheumdis-2013-eular.526] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Birbara C, Blanco FJ, Crowley JJ, Hu C, Stevens R, Edwards CJ. SAT0280 Efficacy of Apremilast, An Oral Phosphodiesterase 4 Inhibitor, on Physical Function and Pain in Patients with Psoriatic Arthritis, Including Current Skin Involvement: Results of a Phase 3, Randomized, Controlled Trial. Ann Rheum Dis 2014. [DOI: 10.1136/annrheumdis-2013-eular.2005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Ablikim M, Achasov MN, Albayrak O, Ambrose DJ, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Becker J, Bennett JV, Bertani M, Bian JM, Boger E, Bondarenko O, Boyko I, Braun S, Briere RA, Bytev V, 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 SJ, Chen XR, Chen YB, Cheng HP, Chu XK, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, Ding WM, Ding Y, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fava L, Feng CQ, Friedel P, Fu CD, Fu JL, Fuks O, Gao Y, Geng C, Goetzen K, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo T, Guo YP, Han YL, Harris FA, He KL, He M, He ZY, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Huang GM, Huang GS, Huang JS, Huang L, Huang XT, Huang Y, Hussain T, Ji CS, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kloss B, Kopf B, Kornicer M, Kuehn W, Lai W, Lange JS, Lara M, Larin P, Leyhe M, Li CH, Li C, Li C, Li DL, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li N, Li PR, Li QJ, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu BJ, Liu CL, Liu CX, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HM, Liu JP, Liu K, Liu KY, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Liu Z, Loehner H, Lou XC, Lu GR, Lu HJ, Lu JG, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Moeini H, MoralesMorales C, Moriya K, Muchnoi NY, Muramatsu H, Nefedov Y, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Park JW, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Poling R, Prencipe E, Qi M, Qian S, Qiao CF, Qin LQ, Qin XS, Qin Y, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Ruan XD, Sarantsev A, Schumann S, Shan W, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song WM, Song XY, Spataro S, Spruck B, Sun GX, Sun JF, Sun SS, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Toth D, Ullrich M, Uman I, Varner GS, Wang B, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wei DH, Wei JB, Weidenkaff P, Wen QG, Wen SP, Werner M, Wiedner U, Wu LH, Wu N, Wu SX, Wu W, Wu Z, Xia LG, Xia YX, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu QJ, Xu QN, Xu XP, Xue Z, Yan L, Yan WB, Yan WC, Yan YH, Yang HX, Yang Y, Yang YX, Yang YZ, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu HW, Yu JS, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo A, Zang SL, Zeng Y, Zhang BX, Zhang BY, Zhang C, Zhang CB, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang ZP, Zhang ZY, Zhang Z, Zhao G, Zhao JW, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhu K, Zhu KJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of a charged (DD*)± mass peak in e+ e- → πDD* at sqrt[s] = 4.26 GeV. PHYSICAL REVIEW LETTERS 2014; 112:022001. [PMID: 24484002 DOI: 10.1103/physrevlett.112.022001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Indexed: 06/03/2023]
Abstract
We report on a study of the process e+ e- → π± (DD*)∓ at sqrt[s] = 4.26 GeV using a 525 pb(-1) data sample collected with the BESIII detector at the BEPCII storage ring. A distinct charged structure is observed in the (DD*)∓ invariant mass distribution. When fitted to a mass-dependent-width Breit-Wigner line shape, the pole mass and width are determined to be Mpole = (3883.9±1.5(stat)±4.2(syst)) MeV/c2 and Γpole = (24.8±3.3(stat)±11.0(syst)) MeV. The mass and width of the structure, which we refer to as Zc(3885), are 2σ and 1σ, respectively, below those of the Zc(3900) → π± J/ψ peak observed by BESIII and Belle in π+ π- J/ψ final states produced at the same center-of-mass energy. The angular distribution of the πZc(3885) system favors a JP = 1+ quantum number assignment for the structure and disfavors 1- or 0-. The Born cross section times the DD* branching fraction of the Zc(3885) is measured to be σ(e+ e- → π± Zc(3885)∓)×B(Zc(3885)∓ → (DD*)∓) = (83.5±6.6(stat)±22.0(syst)) pb. Assuming the Zc(3885) → DD* signal reported here and the Zc(3900) → πJ/ψ signal are from the same source, the partial width ratio (Γ(Zc(3885) → DD*)/Γ(Zc(3900) → πJ/ψ)) = 6.2±1.1(stat)±2.7(syst) is determined.
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Feng L, Hu C, Chen X. Dramatic inundation changes of China's two largest freshwater lakes: natural process or influenced by the Three Gorges Dam? A revisit. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2014; 48:2088-2089. [PMID: 24428263 DOI: 10.1021/es500042k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
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Zheng C, Han B, Zhang H, Liang L, Hu C, Xu W, Fan Z. Abstract P4-01-20: Explore the differences and relationships between normal, ADH tissues and DCIS, IDC in breast by shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS). Cancer Res 2013. [DOI: 10.1158/0008-5472.sabcs13-p4-01-20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: The mechanism that ADH changes to DCIS and even IDC is still not clear now. Raman spectroscopy is a powerful, non-invasive analytical tool which can provide detailed and meaningful information about biochemical composition of tissues at molecular level. Our aim was to find the differences and relationships between normal, ADH tissues and DCIS, IDC in breast based on their various biochemical characteristics by Raman spectroscopy.
Methods: The frozen sections were collected from 39 patients (all female; ages 27-74) who underwent surgical resection or mammotome biopsy at the Department of Breast Surgery, the First Hospital of Jilin University. After operation the samples were immediately frozen at -20∼-25°C and two contiguous sections (6 μm thickness) were cut from a sample by freezing microtome. One was stained with haematoxylin and eosin for routine histopathological analysis; the other was detected by Microscopic confocal Raman spectrometer (HORIBA JY Lab800, 633nm) with its mirror image (the H&E section). After the spectra we needed had been obtained, the Au@SiO2 shell-isolated nanoparticles (SHINs) were added to the surface of frozen sections immediately and then the spectra with SHINs were collected.
Results: A total of 475 Raman spectra and 470 SHINERS spectra were obtained from 9 normal breast tissues, 7 ADH, 8 DCIS, and 15 IDC breast tissues. The Raman signals were significantly enhanced by SHINs. The main spectral features of normal tissues at around 1301, 1442, 1654, and 1743 cm−1 are attributed to lipids. Meanwhile, no strong protein peaks emerged. The peaks of ADH, DCIS and IDC tissues located at 1004, 1033, 1610 and 1658 cm−1 from vibrational modes of proteins shows more stronger. 830, 880, 970, 1090 and 1157cm−1, representing DNA feature peaks, hold the same rules.
Table 1: Peak assignments of the Raman spectra of Breast tissues (wavenumbers in cm-1)NBADHDCISIDCMajor Assignments 880878880O-P-O stretch, DNA1003100410041003phenylalanine1092109210911090O-P-O stretch, DNA1301,14421302,14421303,14431303,1442CH2 twist and CH2 deformation, lipids 15261527C = C stretch of carotene 165816581658Amide I, α-helix1743174717451747C = O stretch, lipids
These show that diseased tissues contained more proteins and nucleic acids. The spectra of DCIS and IDC tissues contained 1527 cm−1, stemming from C = C stretching of carotene. The spectral features between ADH, DCIS and IDC tissues are described as followings: firstly, the concentrations of proteins, nucleic acids and carotene increased gradually but lipids content reduced from ADH to IDC. Secondly, ADH and DCIS tissues have extraordinary strong band of amide I, but in IDC tissues the peak almost cannot observed. Additionally, DCIS tissues have the red shifted and broad peak of CH2, which explains acyl backbone of lipids and proteins has fractured.
Conclusion: The changes including content and molecular structure of lipids, carotene, proteins and nucleic acids accompany with deterioration, indicating the Raman spectroscopy can be used to explore the differences and relationships between normal, ADH tissues and DCIS, IDC in breast. Simultaneously, it might be used to discover the mechanism that ADH convert to DCIS.
Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P4-01-20.
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Ablikim M, Achasov MN, Albayrak O, Ambrose DJ, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Becker J, Bennett JV, Bertani M, Bian JM, Boger E, Bondarenko O, Boyko I, Braun S, Briere RA, Bytev V, 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 SJ, Chen XR, Chen YB, Cheng HP, Chu XK, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, Ding WM, Ding Y, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fava L, Feng CQ, Friedel P, Fu CD, Fu JL, Fuks O, Gao Y, Geng C, Goetzen K, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo T, Guo YP, Han YL, Harris FA, He KL, He M, He ZY, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Huang GM, Huang GS, Huang JS, Huang L, Huang XT, Huang Y, Hussain T, Ji CS, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Kalantar-Nayestanaki N, Kavatsyuk M, Kloss B, Kopf B, Kornicer M, Kuehn W, Lai W, Lange JS, Lara M, Larin P, Leyhe M, Li CH, Li C, Li C, Li DL, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li L, Li N, Li PR, Li QJ, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu BJ, Liu CL, Liu CX, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HM, Liu JP, Liu K, Liu KY, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Liu Z, Loehner H, Lou XC, Lu GR, Lu HJ, Lu JG, Lu XR, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Moeini H, Morales Morales C, Moriya K, Muchnoi NY, Muramatsu H, Nefedov Y, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Park JW, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Poling R, Prencipe E, Qi M, Qian S, Qiao CF, Qin LQ, Qin XS, Qin Y, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Ruan XD, Sarantsev A, Schumann S, Shan W, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song WM, Song XY, Spataro S, Spruck B, Sun GX, Sun JF, Sun SS, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Toth D, Ullrich M, Uman I, Varner GS, Wang B, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang QJ, Wang SG, Wang XF, Wang XL, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wei DH, Wei JB, Weidenkaff P, Wen QG, Wen SP, Werner M, Wiedner U, Wu LH, Wu N, Wu SX, Wu W, Wu Z, Xia LG, Xia YX, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu QJ, Xu QN, Xu XP, Xu ZR, Xue Z, Yan L, Yan WB, Yan WC, Yan YH, Yang HX, Yang Y, Yang YX, Yang YZ, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu HW, Yu JS, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo A, Zang SL, Zeng Y, Zhang BX, Zhang BY, Zhang C, Zhang CB, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang L, Zhang SH, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang ZP, Zhang ZY, Zhang Z, Zhao G, Zhao JW, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhu K, Zhu KJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Observation of a charged charmoniumlike structure Zc(4020) and search for the Zc(3900) in e+e-→π+π-hc. PHYSICAL REVIEW LETTERS 2013; 111:242001. [PMID: 24483645 DOI: 10.1103/physrevlett.111.242001] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2013] [Indexed: 06/03/2023]
Abstract
We study e+e-→π+π-hc at center-of-mass energies from 3.90 to 4.42 GeV by using data samples collected with the BESIII detector operating at the Beijing Electron Positron Collider. The Born cross sections are measured at 13 energies and are found to be of the same order of magnitude as those of e+e-→π+π-J/ψ but with a different line shape. In the π±hc mass spectrum, a distinct structure, referred to as Zc(4020), is observed at 4.02 GeV/c2. The Zc(4020) carries an electric charge and couples to charmonium. A fit to the π±hc invariant mass spectrum, neglecting possible interferences, results in a mass of (4022.9±0.8±2.7) MeV/c2 and a width of (7.9±2.7±2.6) MeV for the Zc(4020), where the first errors are statistical and the second systematic. The difference between the parameters of this structure and the Zc(4025) observed in the D*D[over ¯]* final state is within 1.5σ, but whether they are the same state needs further investigation. No significant Zc(3900) signal is observed, and upper limits on the Zc(3900) production cross sections in π±hc at center-of-mass energies of 4.23 and 4.26 GeV are set.
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Ablikim M, Achasov MN, Ai XC, Albayrak O, Ambrose DJ, An FF, An Q, Bai JZ, Baldini Ferroli R, Ban Y, Bennett JV, Bertani M, Bian JM, Boger E, Bondarenko O, Boyko I, Braun S, 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 SJ, Chen X, Chen XR, Chen YB, Cheng HP, Chu XK, Chu YP, Cronin-Hennessy D, Dai HL, Dai JP, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, Ding WM, Ding Y, Dong C, Dong J, Dong LY, Dong MY, Du SX, Fang J, Fang SS, Fang Y, Fava L, Feng CQ, Fu CD, Fu JL, Fuks O, Gao Q, Gao Y, Geng C, Goetzen K, Gong WX, Gradl W, Greco M, Gu MH, Gu YT, Guan YH, Guo AQ, Guo LB, Guo T, Guo YP, Guo YP, Han YL, Harris FA, He KL, He M, He ZY, Held T, Heng YK, Hou ZL, Hu C, Hu HM, Hu JF, Hu T, Huang GM, Huang GS, Huang JS, Huang L, Huang XT, Huang Y, Hussain T, Ji CS, Ji Q, Ji QP, Ji XB, Ji XL, Jiang LL, Jiang XS, Jiao JB, Jiao Z, Jin DP, Jin S, Jing FF, Johansson T, Kalantar-Nayestanaki N, Kang XL, Kavatsyuk M, Kloss B, Kopf B, Kornicer M, Kuehn W, Kupsc A, Lai W, Lange JS, Lara M, Larin P, Leyhe M, Li CH, Li C, Li C, Li D, Li DM, Li F, Li G, Li HB, Li JC, Li K, Li K, Li L, Li PR, Li QJ, Li T, Li WD, Li WG, Li XL, Li XN, Li XQ, Li XR, Li ZB, Liang H, Liang YF, Liang YT, Liao GR, Lin DX, Liu BJ, Liu CL, Liu CX, Liu FH, Liu F, Liu F, Liu HB, Liu HH, Liu HM, Liu J, Liu JP, Liu K, Liu KY, Liu PL, Liu Q, Liu SB, Liu X, Liu YB, Liu ZA, Liu Z, Liu Z, Loehner H, Lou XC, Lu GR, Lu HJ, Lu HL, Lu JG, Lu XR, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lv M, Ma FC, Ma HL, Ma QM, Ma S, Ma T, Ma XY, Maas FE, Maggiora M, Malik QA, Mao YJ, Mao ZP, Messchendorp JG, Min J, Min TJ, Mitchell RE, Mo XH, Mo YJ, Moeini H, Morales Morales C, Moriya K, Muchnoi NY, Nefedov Y, Nikolaev IB, Ning Z, Nisar S, Niu XY, Olsen SL, Ouyang Q, Pacetti S, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Poling R, Prencipe E, Qi M, Qian S, Qiao CF, Qin LQ, Qin XS, Qin Y, Qin ZH, Qiu JF, Rashid KH, Redmer CF, Ripka M, Rong G, Ruan XD, Sarantsev A, Schönning K, Schumann S, Shan W, Shao M, Shen CP, Shen XY, Sheng HY, Shepherd MR, Song WM, Song XY, Spataro S, Spruck B, Sun GX, Sun JF, Sun SS, Sun YJ, Sun YZ, Sun ZJ, Sun ZT, Tang CJ, Tang X, Tapan I, Thorndike EH, Toth D, Ullrich M, Uman I, Varner GS, Wang B, Wang D, Wang DY, Wang K, Wang LL, Wang LS, Wang M, Wang P, Wang PL, Wang QJ, Wang SG, Wang W, Wang XF, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZG, Wang ZH, Wang ZY, Wei DH, Wei JB, Weidenkaff P, Wen SP, Werner M, Wiedner U, Wolke M, Wu LH, Wu N, Wu W, Wu Z, Xia LG, Xia Y, Xiao D, Xiao ZJ, Xie YG, Xiu QL, Xu GF, Xu L, Xu QJ, Xu QN, Xu XP, Xue Z, Yan L, Yan WB, Yan WC, Yan YH, Yang HX, Yang Y, Yang YX, Ye H, Ye M, Ye MH, Yu BX, Yu CX, Yu HW, Yu JS, Yu SP, Yuan CZ, Yuan WL, Yuan Y, Zafar AA, Zallo A, Zang SL, Zeng Y, Zhang BX, Zhang BY, Zhang C, Zhang CB, Zhang CC, Zhang DH, Zhang HH, Zhang HY, Zhang JJ, Zhang JL, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang SH, Zhang XJ, Zhang XY, Zhang Y, Zhang YH, Zhang ZH, Zhang ZP, Zhang ZY, Zhao G, Zhao JW, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao QW, Zhao SJ, Zhao TC, Zhao XH, Zhao YB, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhou L, Zhou L, Zhou X, Zhou XK, Zhou XR, Zhou XY, Zhu K, Zhu KJ, Zhu XL, Zhu YC, Zhu YS, Zhu ZA, Zhuang J, Zou BS, Zou JH. Search forηc(2S)hc→pp¯decays and measurements of theχcJ→pp¯branching fractions. Int J Clin Exp Med 2013. [DOI: 10.1103/physrevd.88.112001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Chen FZ, Xiang YT, Lu Z, Wang G, Hu C, Kilbourne AM, Ungvari GS, Fang YR, Si TM, Yang HC, Lai KY, Hu J, Chen ZY, Huang Y, Sun J, Wang XP, Li HC, Zhang JB, Zhang XY, Chiu HFK. Characteristics of unrecognised bipolar disorder in patients treated for major depressive disorder in China: general versus psychiatric hospitals. East Asian Arch Psychiatry 2013; 23:139-143. [PMID: 24374485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
OBJECTIVES Bipolar disorder is often misdiagnosed as major depressive disorder. Such misdiagnosis partly depends on the type of treatment setting. This study compared general hospital psychiatric units with psychiatric hospitals in China with respect to basic demographic and clinical characteristics of patients with unrecognised bipolar disorder who are treated for major depressive disorder. METHODS Patients treated for major depressive disorder were consecutively examined in 13 health centres (6 general hospital psychiatric units and 7 psychiatric hospitals) in China. Their socio-demographic and clinical features were recorded using a standardised protocol and data collection procedure. The DSM-IV diagnoses were established using the Mini-International Neuropsychiatric Interview. RESULTS Of the 1487 patients included in the study, 309 (20.8%) were diagnosed with bipolar disorder. There was no significant difference between general hospital psychiatric units and psychiatric hospitals in the ratio of all types of unrecognised bipolar disorders (χ2 = 0.008, degrees of freedom = 1, p = 0.9) and bipolar II disorders (χ2 = 3.1, degrees of freedom = 1, p = 0.08). The proportions of unrecognised bipolar I disorders (χ2 = 4.1, degrees of freedom = 1, p = 0.04) differed significantly between the 2 types of study site. Multivariate analyses showed that patients with bipolar I disorders with more seasonal depressive episodes were more likely to receive treatment in general hospital psychiatric units (odds ratio = 3.3, 95% confidence interval = 1.1-9.8). CONCLUSION Patients with bipolar I disorders receiving treatment in general hospital psychiatric units had different clinical characteristics compared to their counterparts treated in psychiatric hospitals in China.
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Wang L, Liu L, Shi S, Gao J, Liu Y, Li Y, Zhang Z, Wang G, Zhang K, Tao M, Gao C, Li K, Wang X, Lv L, Jiang G, Wang X, Jia H, Zhang J, Lu C, Li Y, Li K, Hu C, Ning Y, Li Y, Sun J, Liu T, Zhang Y, Ha B, Tian H, Meng H, Hu J, Chen Y, Deng H, Huang G, Wu W, Li G, Fang X, Pan J, Hong X, Gao S, Li X, Yang D, Chen G, Liu T, Cai M, Dong J, Mei Q, Shen Z, Pan R, Liu Z, Wang X, Tan Y, Flint J, Kendler KS. Cognitive trio: relationship with major depression and clinical predictors in Han Chinese women. Psychol Med 2013; 43:2265-2275. [PMID: 23425530 PMCID: PMC3807662 DOI: 10.1017/s0033291713000160] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2012] [Revised: 01/06/2013] [Accepted: 01/10/2013] [Indexed: 11/07/2022]
Abstract
BACKGROUND Previous studies support Beck's cognitive model of vulnerability to depression. However, the relationship between his cognitive triad and other clinical features and risk factors among those with major depression (MD) has rarely been systematically studied. METHOD The three key cognitive symptoms of worthlessness, hopelessness and helplessness were assessed during their lifetime worst episode in 1970 Han Chinese women with recurrent MD. Diagnostic and other risk factor information was assessed at personal interview. Odds ratios (ORs) were calculated by logistic regression. RESULTS Compared to patients who did not endorse the cognitive trio, those who did had a greater number of DSM-IV A criteria, more individual depressive symptoms, an earlier age at onset, a greater number of episodes, and were more likely to meet diagnostic criteria for melancholia, postnatal depression, dysthymia and anxiety disorders. Hopelessness was highly related to all the suicidal symptomatology, with ORs ranging from 5.92 to 6.51. Neuroticism, stressful life events (SLEs) and a protective parental rearing style were associated with these cognitive symptoms. CONCLUSIONS During the worst episode of MD in Han Chinese women, the endorsement of the cognitive trio was associated with a worse course of depression and an increased risk of suicide. Individuals with high levels of neuroticism, many SLEs and high parental protectiveness were at increased risk for these cognitive depressive symptoms. As in Western populations, symptoms of the cognitive trio appear to play a central role in the psychopathology of MD in Chinese women.
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