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Liu ZZ, Yan CH, Han YL. [Current status of cardiovascular translational medicine research: from high throughput multi omics to integrative bioinformatics]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1121-1123. [PMID: 37963744 DOI: 10.3760/cma.j.cn112148-20230920-00177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Affiliation(s)
- Z Z Liu
- State Key Laboratory of Frigid Zone Cardiovascular Diseases, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - C H Yan
- State Key Laboratory of Frigid Zone Cardiovascular Diseases, General Hospital of Northern Theater Command, Shenyang 110016, China
| | - Y L Han
- State Key Laboratory of Frigid Zone Cardiovascular Diseases, General Hospital of Northern Theater Command, Shenyang 110016, China
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Liu MM, Xu SL, Zhang HB, Zhang JW, Ren BN, Zhang WJ, Liu ZZ, Hu JJ, Guan YC. [Effect of preimplantation genetic testing for aneuploidies on pregnancy outcome in patients with unexplained recurrent spontaneous abortion]. Zhonghua Yi Xue Za Zhi 2023; 103:2335-2341. [PMID: 37574832 DOI: 10.3760/cma.j.cn112137-20221204-02567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Objective: To investigate the effect of preimplantation genetic testing for aneuploidies (PGT-A) on pregnancy outcome and perinatal outcome of single live birth in patients with unexplained recurrent spontaneous abortion (URSA). Methods: The clinical data of 351 cycles of the first transfer of a blastocyst through whole embryo freezing in the Reproductive Center of the Third Affiliated Hospital of Zhengzhou University from 2019 to 2021 were retrospectively analyzed. According to whether PGT-A was performed before the transfer, the patients were divided into two groups: the PGT-A group (160 cycles) and the control group (191 cycles) were treated with in vitro fertilization/intracytoplasmic sperm microinjection (IVF/ICSI). To adjust for confounding factors, propensity score matching (PSM) was carried out in a 1∶1 ratio between the two groups of patients. After matching, 98 patients in the PGT-A group and 98 patients in the control group were compared for pregnancy outcome and perinatal outcome of singleton live births. Results: Before PSM, the female age in the PGT-A group was (33.6±4.0) years, lower than that in the control group (34.5±4.5) years (P=0.049). Male age in the PGT-A group was (33.6±4.1) years, lower than that in the control group (35.3±5.1) years (P<0.001). There were statistically significant differences between the two groups in infertility factors, female body mass index (BMI), years of infertility, number of spontaneous abortions, basal follicle stimulating hormone (FSH), endometrial thickness on the day of transfer and the percentage of high-quality blastocysts (all P values<0.05); After PSM, there was a statistically significant difference in fertilization methods and infertility factors between the two groups (P<0.05), while other differences were not statistically significant (all P values>0.05); There were statistically significant differences between the two groups in implant rate [63.3% (62 cycles) vs. 49.0% (48 cycles), P=0.044], clinical pregnancy rate [63.3% (62 cycles) vs. 49.0% (48 cycles), P=0.044], and live birth rate [42.9% (42 cycles) vs. 28.6% (28 cycles), P=0.037]. There was no statistically significant difference in perinatal outcomes between the PGT-A group and the control group in obtaining single birth live births (P>0.05). Conclusion: Compared with conventional IVF/ICSI assisted pregnancy, PGT-A assisted pregnancy significantly improves implantation rate, clinical pregnancy rate, and live birth rate in URSA patients. PGT-A improves the pregnancy outcomes in URSA patients but not perinatal outcomes in patients with singleton live births.
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Affiliation(s)
- M M Liu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - S L Xu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - H B Zhang
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J W Zhang
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - B N Ren
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - W J Zhang
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Z Z Liu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J J Hu
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y C Guan
- Reproductive Center of the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Yang XY, Luo J, Chen BY, Chen Q, Liu ZZ, Ye QF. [Research progress of acetaldehyde dehydrogenase 2 in liver diseases]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:1397-1400. [PMID: 36891728 DOI: 10.3760/cma.j.cn501113-20201101-00591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
Acetaldehyde dehydrogenase 2 (ALDH2) is an important kind of aldehyde dehydrogenase in mitochondria, which has the function of eliminating acetaldehyde and other toxic aldehydes substances. Furthermore, it is abundant in liver and is closely related to the occurrence and development of a variety of liver diseases. ALDH2 genetic polymorphisms plays an important role in the occurrence of a variety of liver diseases in the human population.This paper mainly reviews the research progress of ALDH2 in liver diseases in recent years, with a view to provide theoretical basis for clinical prevention and treatment.
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4
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Zhang ZY, Yang LT, Yue Q, Kang KJ, Li YJ, Agartioglu M, An HP, Chang JP, Chen YH, Cheng JP, Dai WH, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Ma H, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Saraswat K, Sharma V, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yeh CH, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Constraints on Sub-GeV Dark Matter-Electron Scattering from the CDEX-10 Experiment. Phys Rev Lett 2022; 129:221301. [PMID: 36493436 DOI: 10.1103/physrevlett.129.221301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/25/2022] [Accepted: 10/20/2022] [Indexed: 06/17/2023]
Abstract
We present improved germanium-based constraints on sub-GeV dark matter via dark matter-electron (χ-e) scattering using the 205.4 kg·day dataset from the CDEX-10 experiment. Using a novel calculation technique, we attain predicted χ-e scattering spectra observable in high-purity germanium detectors. In the heavy mediator scenario, our results achieve 3 orders of magnitude of improvement for m_{χ} larger than 80 MeV/c^{2} compared to previous germanium-based χ-e results. We also present the most stringent χ-e cross-section limit to date among experiments using solid-state detectors for m_{χ} larger than 90 MeV/c^{2} with heavy mediators and m_{χ} larger than 100 MeV/c^{2} with electric dipole coupling. The result proves the feasibility and demonstrates the vast potential of a new χ-e detection method with high-purity germanium detectors in ultralow radioactive background.
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Affiliation(s)
- Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - K Saraswat
- Institute of Physics, Academia Sinica, Taipei 11529
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005, India
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - C H Yeh
- Institute of Physics, Academia Sinica, Taipei 11529
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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5
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Dai WH, Jia LP, Ma H, Yue Q, Kang KJ, Li YJ, An HP, C G, Chang JP, Chen YH, Cheng JP, Deng Z, Fang CH, Geng XP, Gong H, Guo QJ, Guo XY, He L, He SM, Hu JW, Huang HX, Huang TC, Jia HT, Jiang X, Karmakar S, Li HB, Li JM, Li J, Li QY, Li RMJ, Li XQ, Li YL, Liang YF, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu Y, Liu YY, Liu ZZ, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, She Z, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wong HT, Wu SY, Wu YC, Xing HY, Xu R, Xu Y, Xue T, Yan YL, Yang LT, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang FS, Zhang L, Zhang ZH, Zhang ZY, Zhao KK, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Exotic Dark Matter Search with the CDEX-10 Experiment at China's Jinping Underground Laboratory. Phys Rev Lett 2022; 129:221802. [PMID: 36493447 DOI: 10.1103/physrevlett.129.221802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 11/07/2022] [Indexed: 06/17/2023]
Abstract
A search for exotic dark matter (DM) in the sub-GeV mass range has been conducted using 205 kg day data taken from a p-type point contact germanium detector of the CDEX-10 experiment at China's Jinping underground laboratory. New low-mass dark matter searching channels, neutral current fermionic DM absorption (χ+A→ν+A) and DM-nucleus 3→2 scattering (χ+χ+A→ϕ+A), have been analyzed with an energy threshold of 160 eVee. No significant signal was found; thus new limits on the DM-nucleon interaction cross section are set for both models at the sub-GeV DM mass region. A cross section limit for the fermionic DM absorption is set to be 2.5×10^{-46} cm^{2} (90% C.L.) at DM mass of 10 MeV/c^{2}. For the DM-nucleus 3→2 scattering scenario, limits are extended to DM mass of 5 and 14 MeV/c^{2} for the massless dark photon and bound DM final state, respectively.
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Affiliation(s)
- W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | - Greeshma C
- Institute of Physics, Academia Sinica, Taipei 11529
| | | | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C H Fang
- College of Physics, Sichuan University, Chengdu 610065
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai 519082
| | - H T Jia
- College of Physics, Sichuan University, Chengdu 610065
| | - X Jiang
- College of Physics, Sichuan University, Chengdu 610065
| | - S Karmakar
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Y Li
- College of Physics, Sichuan University, Chengdu 610065
| | - R M J Li
- College of Physics, Sichuan University, Chengdu 610065
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y F Liang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Liu
- College of Physics, Sichuan University, Chengdu 610065
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610065
| | - R Xu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610065
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610065
| | - Z H Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K K Zhao
- College of Physics, Sichuan University, Chengdu 610065
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610065
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6
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Xu CQ, Liu ZZ. [Glaucoma-related adverse events and their associated factors after cataract surgery in congenital cataracts: a review and update]. Zhonghua Yan Ke Za Zhi 2022; 58:959-963. [PMID: 36348541 DOI: 10.3760/cma.j.cn112142-20220418-00188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Congenital cataract is one of the main causes of blindness in children. Glaucoma-related adverse event (GRAE) is a serious complication of congenital cataract extraction. Its occult onset can cause irreversible damage to the optic nerve, its related factors are, however, not clear. In recent years, with the deepening of research, we have a more comprehensive understanding of the risk factors of glaucoma-related adverse events. This paper summarizes in detail the impact of its risk factors: ocular anatomical features, surgical design, other ocular and systemic diseases on GRAE, and systematically summarizes its diagnostic criteria, treatment and prognosis, in order to provide a comprehensive reference of research-related factors affecting GRAE after cataract surgery and indication for the vacancy in scientific research and to establish a prediction model for the incidence of postoperative GRAE based on the analysis of influencing factors, and precisely predict the prognosis of children after surgery cataract in clinical aspect.
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Affiliation(s)
- C Q Xu
- Zhongshan Ophthalmic Centre, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial clinical research center for ocular diseases, Guangzhou 510060, China
| | - Z Z Liu
- Zhongshan Ophthalmic Centre, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial clinical research center for ocular diseases, Guangzhou 510060, China
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7
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Liu ZZ, Li KP, Yang XB, Zhang YQ, Xie ZX, Duan ZQ, Zhou B, Hu YM. Selenylation to charge transfer improvement at the counter electrode (CE)/electrolyte interface for nanocrystalline Cu 1.8S 1-xSe x CEs. Phys Chem Chem Phys 2022; 24:21157-21164. [PMID: 36039748 DOI: 10.1039/d2cp02308c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Pt counter electrodes (CEs) have been widely used in dye-sensitized solar cells (DSSCs) due to their high conductivity and electrocatalytic activity. However, industrialization of DSSCs is limited by shortcomings of Pt CEs such as being expensive, and weak corrosion resistance in electrolytes. Reported in this paper is two simple approaches to Pt-free Cu1.8S1-xSex CEs. Nanocrystalline Cu1.8S1-xSex CEs were fabricated via two processes, that is, a solvothermal process to Cu1.8S1-xSex powder followed by CE fabrication, and a solvothermal process and CE fabrication to Cu1.8S films followed by selenylation to Cu1.8S1-xSex CEs. Photoelectric conversion efficiencies (PCE) of 4.02% and 4.16% were achieved respectively by the as-fabricated Cu1.8S1-xSex CEs. Compared with the cells with Cu1.8S CEs fabricated by the same processes, increases of 19% and 45% were achieved, respectively. The PCE improvement comes from the enhancement of charge transfer at the CE/electrolyte interface induced by the selenylation of the CEs.
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Affiliation(s)
- Z Z Liu
- College of Engineering, Dali University, Dali, 671003, China.
| | - K P Li
- College of Engineering, Dali University, Dali, 671003, China.
| | - X B Yang
- Faculty of Material Science and Engineering, Kunming University of Science and Technology, Kunming, 650093, China
| | - Y Q Zhang
- College of Engineering, Dali University, Dali, 671003, China.
| | - Z X Xie
- College of Engineering, Dali University, Dali, 671003, China.
| | - Z Q Duan
- College of Engineering, Dali University, Dali, 671003, China.
| | - B Zhou
- College of Engineering, Dali University, Dali, 671003, China.
| | - Y M Hu
- College of Engineering, Dali University, Dali, 671003, China.
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8
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Lyu MH, Jiao DC, Wu JZ, Tian PQ, Ma YZ, Liu ZZ, Chen XC. [Construction of a nomogram prediction model for pathological complete response (pCR) of ipsilateral supraclavicular lymph node after neoadjuvant chemotherapy for breast cancer with first diagnosis of ipsilateral supraclavicular lymph node metastasis]. Zhonghua Zhong Liu Za Zhi 2022; 44:160-166. [PMID: 35184460 DOI: 10.3760/cma.j.cn112152-20200420-00358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To develop a predictive model for pathologic complete response (pCR) of ipsilateral supraclavicular lymph nodes (ISLN) after neoadjuvant chemotherapy for breast cancer and guide the local treatment. Methods: Two hundred and eleven consecutive breast cancer patients with first diagnosis of ipsilateral supraclavicular lymph node metastasis who underwent ipsilateral supraclavicular lymph node dissection and treated in the Breast Department of Henan Cancer Hospital from September 2012 to May 2019 were included. One hundred and forty two cases were divided into the training set while other 69 cases into the validation set. The factors affecting ipsilateral supraclavicular lymph node pCR (ispCR)of breast cancer after neoadjuvant chemotherapy were analyzed by univariate and multivariate logistic regression analyses, and a nomogram prediction model of ispCR was established. Internal and external validation evaluation of the nomogram prediction model were conducted by receiver operating characteristic (ROC) curve analysis and plotting calibration curves. Results: Univariate logistic regression analysis showed that Ki-67 index, number of axillary lymph node metastases, breast pCR, axillary pCR, and ISLN size after neoadjuvant chemotherapy were associated with ispCR of breast cancerafter neoadjuvant chemotherapy (P<0.05). Multivariate logistic regression analysis showed that the number of axillary lymph node metastases (OR=5.035, 95%CI: 1.722-14.721, P=0.003), breast pCR (OR=4.662, 95%CI: 1.456-14.922, P=0.010) and ISLN size after neoadjuvant chemotherapy (OR=4.231, 95%CI: 1.194-14.985, P=0.025) were independent predictors of ispCR of breast cancer after neoadjuvant chemotherapy. A nomogram prediction model of ispCR of breast cancer after neoadjuvant chemotherapy was constructed using five factors: number of axillary lymph node metastases, Ki-67 index, breast pCR, axillary pCR and size of ISLN after neoadjuvant chemotherapy. The areas under the ROC curve for the nomogram prediction model in the training and validation sets were 0.855 and 0.838, respectively, and the difference was not statistically significant (P=0.755). The 3-year disease-free survival rates of patients in the ispCR and non-ispCR groups after neoadjuvant chemotherapy were 64.3% and 54.8%, respectively, with statistically significant differences (P=0.024), the 3-year overall survival rates were 83.8% and 70.2%, respectively, without statistically significant difference (P=0.087). Conclusions: Disease free survival is significantly improved in breast cancer patients with ispCR after neoadjuvant chemotherapy. The constructed nomogram prediction model of ispCR of breast cancer patients after neoadjuvant chemotherapy is well fitted. Application of this prediction model can assist the development of local management strategies for the ipsilateral supraclavicular region after neoadjuvant chemotherapy and predict the long-term prognosis of breast cancer patients.
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Affiliation(s)
- M H Lyu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - D C Jiao
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - J Z Wu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - P Q Tian
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - Y Z Ma
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - Z Z Liu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - X C Chen
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
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9
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Yang XF, Liu ZZ, Jia CX. [A longitudinal study of relationship between family conflict and suicidal behavior in adolescents]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1976-1982. [PMID: 34818843 DOI: 10.3760/cma.j.cn112338-20210317-00215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the relationship between family conflict and adolescent future suicidal behavior. Methods: A total of 7 072 adolescents who participated in the baseline survey and the first follow-up survey of Shandong Adolescent Behavior and Health Cohort were included in the analysis. They were sampled from 8 middle schools in 3 counties of Shandong province, China. A self-reported questionnaire was used to measure suicidal behavior, family conflict, depression, and demographic characteristics. Logistic regression model was used to analyze the relationship between family conflict and suicidal behavior. Results: In the baseline survey, the age of 7 072 subjects was (14.58±1.45) years, and boys and girls accounted for 50.0% respectively. 750 people (10.6%) had any suicidal behavior, of which 707 (10.0%), 258 (3.6%) and 190 (2.7%) had suicidal ideation, suicide planning and suicide attempt, respectively. The family conflict scores of the suicidal group were higher than those of the non-suicidal group. After adjusting for covariates, logistic regressions showed that family conflict was associated with increased risk of suicidal behavior (OR=1.05, 95%CI: 1.01-1.10), suicidal ideation (OR=1.05, 95%CI: 1.00-1.09), suicide planning (OR=1.08, 95%CI: 1.01-1.16) and suicide attempt (OR=1.10, 95%CI: 1.02-1.19). Further stratified by gender, results showed no significant association between family conflict and suicidal behavior in girls; the association of family conflict with suicidal behavior was more significant in boys, especially for suicidal ideation and suicide planning, and the OR value of the latter was higher than the former. The results were stable after sensitivity analysis in males. Conclusions: Family conflict might increase the risk of adolescent suicidal behavior, especially in males. Harmonious family environment and good family atmosphere are of great significance to adolescent suicide prevention and control.
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Affiliation(s)
- X F Yang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine/Center for Suicide Prevention Research, Shandong University, Ji'nan 250012, China
| | - Z Z Liu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine/Center for Suicide Prevention Research, Shandong University, Ji'nan 250012, China
| | - C X Jia
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine/Center for Suicide Prevention Research, Shandong University, Ji'nan 250012, China
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Hao J, Liao W, Zhang YL, Peng J, Zhao Z, Chen Z, Zhou BW, Feng Y, Fang B, Liu ZZ, Zhao ZH. Toward Clinically Applicable 3-Dimensional Tooth Segmentation via Deep Learning. J Dent Res 2021; 101:304-311. [PMID: 34719980 DOI: 10.1177/00220345211040459] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Digital dentistry plays a pivotal role in dental health care. A critical step in many digital dental systems is to accurately delineate individual teeth and the gingiva in the 3-dimension intraoral scanned mesh data. However, previous state-of-the-art methods are either time-consuming or error prone, hence hindering their clinical applicability. This article presents an accurate, efficient, and fully automated deep learning model trained on a data set of 4,000 intraoral scanned data annotated by experienced human experts. On a holdout data set of 200 scans, our model achieves a per-face accuracy, average-area accuracy, and area under the receiver operating characteristic curve of 96.94%, 98.26%, and 0.9991, respectively, significantly outperforming the state-of-the-art baselines. In addition, our model takes only about 24 s to generate segmentation outputs, as opposed to >5 min by the baseline and 15 min by human experts. A clinical performance test of 500 patients with malocclusion and/or abnormal teeth shows that 96.9% of the segmentations are satisfactory for clinical applications, 2.9% automatically trigger alarms for human improvement, and only 0.2% of them need rework. Our research demonstrates the potential for deep learning to improve the efficacy and efficiency of dental treatment and digital dentistry.
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Affiliation(s)
- J Hao
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases and West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Harvard School of Dental Medicine, Harvard University, Boston, MA, USA
| | - W Liao
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases and West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Y L Zhang
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases and West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - J Peng
- DeepAlign Tech Inc., Ningbo, China
| | - Z Zhao
- DeepAlign Tech Inc., Ningbo, China
| | - Z Chen
- DeepAlign Tech Inc., Ningbo, China
| | - B W Zhou
- Angelalign Research Institute, Angel Align Inc., Shanghai, China
| | - Y Feng
- Angelalign Research Institute, Angel Align Inc., Shanghai, China
| | - B Fang
- Ninth People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai, China
| | - Z Z Liu
- Zhejiang University-University of Illinois at Urbana-Champaign Institute, Zhejiang University, Haining, China
| | - Z H Zhao
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases and West China Hospital of Stomatology, Sichuan University, Chengdu, China
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11
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Liu ZZ, Ren Q, Zhou YN, Yang HM. Bioequivalence of two esomeprazole magnesium enteric-coated formulations in healthy Chinese subjects. World J Clin Cases 2020; 8:5518-5528. [PMID: 33344542 PMCID: PMC7716327 DOI: 10.12998/wjcc.v8.i22.5518] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 08/06/2020] [Accepted: 09/08/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The pharmacokinetics and bioequivalence of esomeprazole in healthy Chinese subjects and the effects of food on the pharmacokinetics have not been well studied.
AIM To evaluate the pharmacokinetic characteristics of esomeprazole magnesium (Eso) enteric- coated capsule in the healthy subjects in China and the bioequivalence of the two formulations.
METHODS This study was conducted in the Phase I Clinical Trial Unit of the Affiliated Hospital of Changchun University of Chinese Medicine. A total of 64 healthy subjects were enrolled in the study. Thirty-two subjects fasted or fed, took the test or reference formulation Eso enteric-coated capsule by a four-cycle, two-sequence crossover of fasting/fed, self-controlled method. The liquid chromatography-mass spectrometry was performed to determine the drug plasma concentration at 16 different time points within 12 h after drug administration. The pharmacokinetic parameters Cmax, area under the curve (AUC)0-t, and AUC0-inf were calculated to evaluate the bioequivalence.
RESULTS Pharmacokinetic parameters were evaluated after subjects took the test formulation and control formulation under fasting status. The ratio of geometric means of Cmax was 104.15%, with a confidence interval (CI) of 98.20-110.46%. The ratio of geometric means of AUC0-t was 105.26%, with a CI of 99.80-111.01%. The ratio of geometric means of AUC0-inf was 105.37%, with a CI of 99.97-111.06%. The pharmacokinetic parameters were also evaluated after subjects took the reference formulation of Eso enteric-coated capsule after eating. The upper limit of 95% CI of the geometric mean ratio of pharmacokinetic parameters of Eso enteric-coated capsules in the postprandial state Cmax was -0.1689, and the point estimate was 0.9509 (0.80-1.25). The upper limit of 95% CI of the geometric mean ratio of pharmacokinetic parameters of Eso enteric-coated capsules in the postprandial state AUC0-t was -0.1015 (≤ 0) , and the point estimate was 0.9003 (0.80-1.25). The upper limit of 95% CI of the geometric mean ratio of pharmacokinetic parameters of Eso enteric-coated capsules in the postprandial state AUC0-inf was -0.0593 (≤ 0), and the point estimate was 0.8453 (0.80-1.25). The results indicated that the two formulations were bioequivalent under both fasting and fed states.
CONCLUSION The two types of esomeprazole tablets were bioequivalent under both fasting and fed states, and both were generally well tolerated.
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Affiliation(s)
- Zheng-Zhi Liu
- Phase I Clinical Trial Laboratory, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130021, Jilin Province, China
| | - Qing Ren
- Phase I Clinical Trial Laboratory, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130021, Jilin Province, China
| | - Yan-Nan Zhou
- Phase I Clinical Trial Laboratory, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130021, Jilin Province, China
| | - Hai-Miao Yang
- Phase I Clinical Trial Laboratory, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130021, Jilin Province, China
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12
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Geng T, Pan Y, Liu ZZ, Yuan C, Wang P, Meng X. Time-dependent Microhardness Gradients of Self-adhesive Resin Cements Under Dual- and Self-curing Modes. Oper Dent 2020; 45:E280-E288. [PMID: 33215201 DOI: 10.2341/19-006-l] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/15/2019] [Indexed: 11/23/2022]
Abstract
CLINICAL RELEVANCE Acid-functional monomers in self-adhesive resin cements may decrease their self-curing polymerization ability. Light irradiation optimizes polymerization performance. SUMMARY Purpose: The aim of this study was to investigate Knoop microhardness of self-adhesive resin cements under dual- and self-curing modes in simulated canals for describing the polymerization behavior.Methods and Materials: Slots in lightproof silicone cylinders with one open end were filled with the following eight materials: a traditional resin cement (Duolink), a core build-up resin material (MultiCore Flow), and six self-adhesive resin cements (RelyX Unicem 2, G-Cem Automix, Maxcem, Biscem, Multilink Speed, and PermaCem 2.0). The resins were exposed to light through the open end and then stored in a lightproof box. The Knoop hardness gradient for each resin was measured after 1 hour and 120 hours. Surface readings were obtained at 1-mm intervals from 1 mm to 10 mm away from the open ends. The data were analyzed by two-way analysis of variance and the Student-Newman-Keuls test (α=0.05).Results: All the resin materials had stable Knoop hardness numbers (KHNs) at a certain depth; their KHNs in the self-curing mode did not change (p>0.05). The region above this certain depth was regarded as having undergone the dual-curing mode, and the KHN decreased gradually with depth (p<0.05). Between 1 and 120 hours postexposure, the ratio of the KHN at a 5-mm depth (self-cured) to that at a 1-mm depth (dual-cured) increased in Duolink and MultiCore Flow. However, the ratios of the six adhesive resin cements varied.Conclusion: Without light, most self-adhesive resin cements differed from traditional dual-cured resin materials in terms of Knoop micro-hardness, and they had a lesser capacity for chemical-induced curing.
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She Z, Jia LP, Yue Q, Ma H, Kang KJ, Li YJ, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Dai WH, Deng Z, Geng XP, Gong H, Gu P, Guo QJ, Guo XY, He L, He SM, He HT, Hu JW, Huang TC, Huang HX, Li HB, Li H, Li JM, Li J, Li MX, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Mao YC, Nie QY, Ning JH, Pan H, Qi NC, Qiao CK, Ren J, Ruan XC, Sevda B, Shang CS, Sharma V, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wang Z, Wong HT, Wu SY, Xing HY, Xu Y, Xue T, Yan YL, Yang LT, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang BT, Zhang L, Zhang FS, Zhang ZY, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Direct Detection Constraints on Dark Photons with the CDEX-10 Experiment at the China Jinping Underground Laboratory. Phys Rev Lett 2020; 124:111301. [PMID: 32242731 DOI: 10.1103/physrevlett.124.111301] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 02/26/2020] [Indexed: 06/11/2023]
Abstract
We report constraints on the dark photon effective kinetic mixing parameter (κ) with data taken from two p-type point-contact germanium detectors of the CDEX-10 experiment at the China Jinping Underground Laboratory. The 90% confidence level upper limits on κ of solar dark photon from 205.4 kg-day exposure are derived, probing new parameter space with masses (m_{V}) from 10 to 300 eV/c^{2} in direct detection experiments. Considering dark photon as the cosmological dark matter, limits at 90% confidence level with m_{V} from 0.1 to 4.0 keV/c^{2} are set from 449.6 kg-day data, with a minimum of κ=1.3×10^{-15} at m_{V}=200 eV/c^{2}.
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Affiliation(s)
- Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - W H Dai
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X P Geng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - P Gu
- College of Physics, Sichuan University, Chengdu 610064
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H T He
- College of Physics, Sichuan University, Chengdu 610064
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - T C Huang
- Sino-French Institute of Nuclear and Technology, Sun Yat-sen University, Zhuhai, 519082
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M X Li
- College of Physics, Sichuan University, Chengdu 610064
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physics, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physics, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - Q Y Nie
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - C K Qiao
- College of Physics, Sichuan University, Chengdu 610064
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - B Sevda
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - C S Shang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physics, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - Z Wang
- College of Physics, Sichuan University, Chengdu 610064
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Y Xing
- College of Physics, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y L Yan
- College of Physics, Sichuan University, Chengdu 610064
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- NUCTECH Company, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B T Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L Zhang
- College of Physics, Sichuan University, Chengdu 610064
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Y Zhang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physics, Sichuan University, Chengdu 610064
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14
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Liu ZZ, Wang XT, Liu XC, Wang ZY, An D, Jia CX. [Non-suicidal self-injury and exposure to suicidal behaviors among Chinese adolescents: a longitudinal study]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 40:1573-1577. [PMID: 32062918 DOI: 10.3760/cma.j.issn.0254-6450.2019.12.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Non-suicidal self-injury (NSSI) in adolescents appeared prevalent and multifactorial. This study was to examine the associations between exposure to suicidal behaviors and NSSI in the Chinese adolescents. Methods: Participants included for analyses were 5 154 adolescent students who participated in the baseline survey in 2015 and the first follow-up survey in 2016 of the Shandong Adolescent Behavior and Health Cohort, but with no history of NSSI at the baseline survey. A self-administered structured questionnaire was used to collect data on demographics, behavioral and emotional problems, lifetime and last-year NSSI. Data on the history of exposure to suicide attempt or death of a family member, friend, or close acquaintance were also collected. Multivariate logistic regression methods were used to examine the associations between exposure to suicidal behaviors and NSSI. Results: In the baseline survey, mean age of the 5 154 participants was (14.49±1.48) years, with 48.5% of the participants as girls. Of the participants, 9.0% reported having been exposed to suicidal behaviors, including 6.0% reported to suicide attempt, 4.9% to suicide death, 7.3% to suicidal behaviors of friends/close acquaintances, and 3.1% to suicidal behaviors of relatives. The prevalence rates of NSSI in the last year were significantly higher in adolescents who had been exposed to suicidal behaviors than those who had not (P<0.05). Results from the multivariate logistic regressions showed that exposure to suicide death (OR=1.91, 95%CI: 1.22-3.01) or to suicidal behaviors of relatives (OR=1.79, 95%CI: 1.02-3.12) were both significantly associated with the increased risk of NSSI. Conclusions: Experiences related to exposure to suicide-death or suicidal behaviors of relatives were associated with increased risk of NSSI in adolescents. After the suicide events, psychological counseling and health education programs set for high-risk groups were helpful in promoting physical and mental health and preventing the attempt of self-injury in teenagers.
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Affiliation(s)
- Z Z Liu
- Department of Epidemiology, Shandong University School of Public Health, Jinan 250012, China
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15
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Guo XH, Zhang JY, Jiao DC, Zhu JJ, Ma YZ, Yang Y, Xiao H, Liu ZZ. [The expression and significance of chromobox protein homolog 2 in breast cancer]. Zhonghua Yi Xue Za Zhi 2020; 100:130-135. [PMID: 31937053 DOI: 10.3760/cma.j.issn.0376-2491.2020.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To study the relationship between the expression of Chromobox protein homolog (CBX) mRNA and the clinicopathological prognosis of breast cancer, and to investigate the possibility of Chromobox protein homolog 2 as a therapeutic target for breast cancer. Methods: First, we analyzed the mRNA expression of 8 CBX family genes by METABRIC database, and investigated the relationship between the expression of CBX2 mRNA and the clinicopathological parameters of breast cancer. Then we explored its relationship with prognosis. CBX2 siRNA was used to treat breast cancer cell lines with high expression of CBX2(SUM159 and SUM1315). The effects of knockdown of CBX20 on mRNA and protein expression and cell proliferation were observed. Results: According to the analysis of METABRIC database, among the 8 CBX genes, the most obvious increase in mRNA expression was CBX2, and 22.47% (445/1 980) of the patients showed high mRNA expression. The high expression of CBX2 was closely related to tumor histological grade and the molecular type of breast cancer (P<0.001). Compared with the low-expression group of CBX2 mRNA, the proportion of HER2 breast cancer (28.1% vs 7.5%) and Basal-like (44.5% vs 8.5%) in the high-expression group were both higher. Patients with high CBX2 expression had significantly shorter disease-free survival (DFS) and overall survival (OS). The knockdown of CBX2 by siRNA inhibited the proliferation of breast cancer cells. Conclusion: CBX2 is closely related to the prognosis of breast cancer and may be a target for breast cancer treatment.
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Affiliation(s)
- X H Guo
- Department of Breast, Affiliated Cancer Hospital, Zhengzhou University, Zhengzhou 450008, China
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16
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Gao Z, Zhang HT, Wang J, Yu HM, Di XM, Xu K, Liu ZZ, Zhao JX. [The dosimetry comparison study between 3D print template and free-hand guided of precision (125)I seeds implantation on superficial metastatic carcinoma]. Zhonghua Yi Xue Za Zhi 2019; 99:3694-3698. [PMID: 31874492 DOI: 10.3760/cma.j.issn.0376-2491.2019.47.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare the dose difference of (125)I seeds implantation on superficial metastatic carcinoma between 3D print template guided operation and traditional implantation. To investigate the accuracy of seeds implantation according preplan guided by 3D print template. Methods: A total of 21 cases of patient with 27 lesions underwent (125)I seeds implantation from January 2015 to May 2018 in Hebei General Hospital were analyzed retrospectively. In which, ten lesions underwent seeds implantation guided by 3D print template (template group) and 17 lesions underwent free-hand traditional implantation (traditional group). All patients had been fixed as the position of operation and then performed CT scan. After preplan was designed, the 3D templates were printed in template group. Postplan was performed after the operation.The dose volume histogram, D90 was calculated. The D90 pre and post operation were collected and compared in each group. The difference of D90 and the percentage difference of D90 between pre and post operation were calculated by the formula D90d=D90post-D90pre, D90d%=(D90post-D90pre)/D90pre×100%, and compared the difference between two groups. Results: The mean D90 pre and post operation in template group were (92±26) and (93±27) Gy respectively, t=-0.749, P=0.473. The mean D90 pre and post operation in traditional group were (104±29) and (104±26) Gy respectively, t=-0.139, P=0.891. The difference of D90 in two groups were (3.1±2.4) and (10.0±8.7) Gy, Z=-2.5, P=0.012. The percentage difference of D90 in two groups were 3.1%±1.9% and 9.5%±7.9%, Compared with the traditional group, the template group had smaller fluctuations, and the difference was statistically significant (Z=-2.7, P=0.006) (all P<0.05). Conclusions: The dose parameters of 3D template guided seeds implantation between postplan and preplan are nearly consistent.3D template has good repeatability, which provides a theoretical basis for the popularization of 3D printing technology.
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Affiliation(s)
- Z Gao
- Department of Oncology, the Hebei General Hospital, Shijiazhuang 050051, China
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17
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Yang LT, Li HB, Yue Q, Ma H, Kang KJ, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Deng Z, Du Q, Gong H, Guo QJ, He L, Hu JW, Hu QD, Huang HX, Jia LP, Jiang H, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Ma JL, Mao YC, Pan H, Ren J, Ruan XC, Sharma V, She Z, Shen MB, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang JM, Wang L, Wang Q, Wang Y, Wang YX, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yi N, Yu CX, Yu HJ, Yue JF, Zeng XH, Zeng M, Zeng Z, Zhang FS, Zhang YH, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ, Zhu ZH. Search for Light Weakly-Interacting-Massive-Particle Dark Matter by Annual Modulation Analysis with a Point-Contact Germanium Detector at the China Jinping Underground Laboratory. Phys Rev Lett 2019; 123:221301. [PMID: 31868422 DOI: 10.1103/physrevlett.123.221301] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Indexed: 06/10/2023]
Abstract
We present results on light weakly interacting massive particle (WIMP) searches with annual modulation (AM) analysis on data from a 1-kg mass p-type point-contact germanium detector of the CDEX-1B experiment at the China Jinping Underground Laboratory. Datasets with a total live time of 3.2 yr within a 4.2-yr span are analyzed with analysis threshold of 250 eVee. Limits on WIMP-nucleus (χ-N) spin-independent cross sections as function of WIMP mass (m_{χ}) at 90% confidence level (C.L.) are derived using the dark matter halo model. Within the context of the standard halo model, the 90% C.L. allowed regions implied by the DAMA/LIBRA and CoGeNT AM-based analysis are excluded at >99.99% and 98% C.L., respectively. These results correspond to the best sensitivity at m_{χ}<6 GeV/c^{2} among WIMP AM measurements to date.
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Affiliation(s)
- L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - L He
- NUCTECH Company, Beijing 100084
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - M B Shen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - J M Wang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - X H Zeng
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y H Zhang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Z H Zhu
- YaLong River Hydropower Development Company, Chengdu 610051
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18
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Liu ZZ, Tian YF, Wu H, Ouyang SY, Kuang WL. LncRNA H19 promotes glioma angiogenesis through miR-138/HIF-1α/VEGF axis. Neoplasma 2019; 67:111-118. [PMID: 31777264 DOI: 10.4149/neo_2019_190121n61] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Accepted: 07/09/2019] [Indexed: 11/08/2022]
Abstract
Glioma is one of the most common and aggressive malignant primary brain tumors with high recurrence rate and mortality rate and heavily depends on the angiogenesis. LncRNA H19 has many diverse biological functions, including the regulation of cell proliferation, differentiation and metabolism. Here, we aimed to investigate the molecular mechanism of lncRNA H19 affecting angiogenesis in glioma, which could help to uncover potential target for glioma therapy. RT-qPCR analysis was performed to detect the expression of lncRNA H19 and miR-138 in HEB, U87, A172 and U373 cell lines. MTT assay was used to evaluate the cell viability. To evaluate the migration and invasion after lncRNA H19 knockdown, Transwell and wound healing assay were employed. After lncRNA H19 knockdown, protein expression of HIF 1α and VEGF was detected by western blot and tube formation was assessed. For the prediction and validation of the interaction between lncRNA H19 and miR-138, bioinformatics and luciferase assay were performed. We investigated the regulatory roles and downstream molecular mechanisms of lncRNA H19 in glioma by knockdown H19, which inhibited the proliferation, migration and angiogenesis of glioma cells. Moreover, miR-138 acted as a target of H19 as detected by luciferase reporter assays. Meanwhile, HIF-1α was also a target of miR-138 and miR-138 could also regulate the proliferation, migration and angiogenesis of glioma cells by targeting HIF-1α and affecting the expression of VEGF in turn. Our findings identified an upregulated lncRNA H19 in glioma cells, which could promote proliferation, migration, invasion and angiogenesis via miR-138/HIF-1α axis as a ceRNA. This study provided a new opportunity to advance our understanding in the potential mechanism of lncRNA in glioma angiogenesis.
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Affiliation(s)
- Z Z Liu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Y F Tian
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, China
| | - H Wu
- Department of Internal Medicine, Qidong County Hospital of Traditional Chinese Medicine, Hengyang, China
| | - S Y Ouyang
- Department of Chest Radiotherapy, Hunan Cancer Hospital, Changsha, China
| | - W L Kuang
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
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19
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Liu ZZ, Yue Q, Yang LT, Kang KJ, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Cheng JP, Deng Z, Du Q, Gong H, Guo XY, Guo QJ, He L, He SM, Hu JW, Hu QD, Huang HX, Jia LP, Jiang H, Li HB, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Ma H, Ma JL, Mao YC, Ning JH, Pan H, Qi NC, Ren J, Ruan XC, Sharma V, She Z, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang L, Wang Q, Wang Y, Wang YX, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yi N, Yu CX, Yu HJ, Yue JF, Zeng M, Zeng Z, Zhang FS, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ. Constraints on Spin-Independent Nucleus Scattering with sub-GeV Weakly Interacting Massive Particle Dark Matter from the CDEX-1B Experiment at the China Jinping Underground Laboratory. Phys Rev Lett 2019; 123:161301. [PMID: 31702340 DOI: 10.1103/physrevlett.123.161301] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Indexed: 06/10/2023]
Abstract
We report results on the searches of weakly interacting massive particles (WIMPs) with sub-GeV masses (m_{χ}) via WIMP-nucleus spin-independent scattering with Migdal effect incorporated. Analysis on time-integrated (TI) and annual modulation (AM) effects on CDEX-1B data are performed, with 737.1 kg day exposure and 160 eVee threshold for TI analysis, and 1107.5 kg day exposure and 250 eVee threshold for AM analysis. The sensitive windows in m_{χ} are expanded by an order of magnitude to lower DM masses with Migdal effect incorporated. New limits on σ_{χN}^{SI} at 90% confidence level are derived as 2×10^{-32}∼7×10^{-35} cm^{2} for TI analysis at m_{χ}∼50-180 MeV/c^{2}, and 3×10^{-32}∼9×10^{-38} cm^{2} for AM analysis at m_{χ}∼75 MeV/c^{2}-3.0 GeV/c^{2}.
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Affiliation(s)
- Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, İzmir 35160
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Y Guo
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Q J Guo
- School of Physics, Peking University, Beijing 100871
| | - L He
- NUCTECH Company, Beijing 100084
| | - S M He
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y C Mao
- School of Physics, Peking University, Beijing 100871
| | - J H Ning
- YaLong River Hydropower Development Company, Chengdu 610051
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - N C Qi
- YaLong River Hydropower Development Company, Chengdu 610051
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - Z She
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y X Wang
- School of Physics, Peking University, Beijing 100871
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610065
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20
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Liu B, Liu ZZ, Zhou ML, Lin JW, Chen XM, Li Z, Gao WB, Yu ZD, Liu T. Development of c‑MET‑specific chimeric antigen receptor‑engineered natural killer cells with cytotoxic effects on human liver cancer HepG2 cells. Mol Med Rep 2019; 20:2823-2831. [PMID: 31524233 PMCID: PMC6691195 DOI: 10.3892/mmr.2019.10529] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 06/25/2019] [Indexed: 12/18/2022] Open
Abstract
In recent years, cellular immunotherapy has served an important role in the combined treatment of hepatocellular carcinoma. The possibility of specific cell therapies for the treatment of solid tumours has been further explored following the success of chimeric antigen receptor (CAR)-T cell therapy in the treatment of haematological tumours. The present study aimed to evaluate the specificity and efficiency of c-MET-targeted CAR-NK cell immunotherapy on human liver cancer in vitro. A CAR structure that targeted and recognised a c-MET antigen was constructed. c-MET-CAR was transferred into primary NK cells using lentiviral infection. c-MET-positive HepG2 cells were used as an in vitro study model. The cytotoxicity assay results revealed that c-MET-CAR-NK cells exhibited more specific cytotoxicity for HepG2 cells with high c-MET expression compared with the lung cancer cell line H1299, which has low levels of c-MET expression. The results of the present study demonstrated that c-MET may be a specific and effective target for human liver cancer cell CAR-NK immunotherapy. Based on these results, CAR-NK cell-based immunotherapy may provide a potential biotherapeutic approach for liver cancer treatment in the future.
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Affiliation(s)
- Bing Liu
- Department of Biotherapy and Oncology, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong 518001, P.R. China
| | - Zheng-Zhi Liu
- Department of Laboratory, Women and Children Health Institute of Futian, Shenzhen, Guangdong 518045, P.R. China
| | - Mei-Ling Zhou
- Department of Biotherapy and Oncology, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong 518001, P.R. China
| | - Jian-Wei Lin
- Department of Biotherapy and Oncology, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong 518001, P.R. China
| | - Xue-Mei Chen
- Department of Biotherapy and Oncology, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong 518001, P.R. China
| | - Zhu Li
- Department of Biotherapy and Oncology, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong 518001, P.R. China
| | - Wen-Bin Gao
- Department of Biotherapy and Oncology, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong 518001, P.R. China
| | - Zhen-Dong Yu
- Central Laboratory, Peking University Shenzhen Hospital, Shenzhen, Guangdong 518036, P.R. China
| | - Tao Liu
- Department of Biotherapy and Oncology, Shenzhen Luohu People's Hospital, Shenzhen, Guangdong 518001, P.R. China
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21
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Li JT, Zhao HM, Guo XH, Tian PQ, Lü MH, Li LF, Liu ZZ, Cui SD, Zhang HW. [Preoperative evaluation of sentinel lymph node biopsy using contrast-enhanced ultrasonography in early breast cancer patients and the involved disturbing factors]. Zhonghua Yi Xue Za Zhi 2019; 99:1086-1089. [PMID: 30982257 DOI: 10.3760/cma.j.issn.0376-2491.2019.14.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the preoperative evaluation of sentinel lymph node (SLN) biopsy using contrast-enhanced ultrasonography (CEUS) in early breast cancer patients and the involved disturbing factors. Methods: Eighty-three female early breast cancer patients who underwent concurrent surgery in the Affiliated Cancer Hospital of Zhengzhou University between January 2017 and May 2018 were enrolled. CEUS was used to seek SLN and determine lymph node metastasis after signature of preoperative informed consent. Rapid pathological examination was used to determine whether metastasis existed in SLN. The sensitivity, specificity, accuracy, the differences between CEUS and pathological results, and the involved disturbing factors were evaluated. Results: A total of 212 SLNs were detected by CEUS and SLN biopsy with an average of 2.6 SLNs detected per patient, including 39 SLNs with cancer metastasis (18.4%) and 173 SLNs without cancer metastasis (81.6%). Among the 83 patients, 29 patients were predicted SLN-positive preoperatively utilizing CEUS (including 21 cases with SLN pathological metastasis and 8 cases with non-metastasis), 54 patients were predicted SLN-negative (including 5 cases with SLN pathological metastasis and 49 cases with non-metastasis). The preoperative evaluation of SLN utilizing CEUS were performed with a sensitivity of 80.8% (21/26), specificity of 86.0% (49/57), positive predictive value of 72.4% (21/29), and negative predictive value of 90.7% (49/54), positive likelihood ratio of 5.75, negative likelihood ratio of 0.22, and the accuracy of 84.3% (70/83), respectively. The area under the ROC curve (AUC) was 0.834 (95% CI: 0.736-0.906). The primary tumor mean size of SLN-negative group predicted preoperatively utilizing CEUS was (1.78±0.14) cm, and that of the SLN positive group was (2.64±0.19) cm. The difference between the two groups was (0.86±0.24) cm with statistical significance (P=0.000 6). The SLN mean size of SLN-negative group (141 SLNs) was (1.41±0.05) cm and that of SLN-positive group (71 SLNs) was (1.69±0.07) cm. The difference between the two groups was (0.28±0.09) cm with statistical significance (P=0.002 8). Conclusions: Preoperative CEUS possesses the predictive value for SLN metastasis in early breast cancer. The predicted results may be influenced by the primary tumor size and the SLN size.
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Affiliation(s)
- J T Li
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - H M Zhao
- Department of Ultrasound, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - X H Guo
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - P Q Tian
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - M H Lü
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - L F Li
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - Z Z Liu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - S D Cui
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
| | - H W Zhang
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Cancer Hospital), Zhengzhou 450008, China
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22
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Niu JW, Ning W, Zhou L, Pei DP, Meng FQ, Liu ZZ. [Application of preventive flap-placement of terminal ileostomy in laparoscopic radical resection of low rectal cancer]. Zhonghua Yi Xue Za Zhi 2019; 99:750-753. [PMID: 30884628 DOI: 10.3760/cma.j.issn.0376-2491.2019.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the value of preventive flap placement of terminal ileostomy in laparoscopic radical resection of low rectal cancer. Methods: A retrospective analysis was conducted in the patients (n=63) who received preventive terminal ileostomy in laparoscopic radical resection of low rectal cancer in our institution from April 2016 to March 2018, including 33 patients who underwent ileostomy with flap-placement (flap group), and 30 patients who underwent ileostomy with stent (stent group). Clinical data were collected from both groups and statistically analyzed. Results: All patients were successfully completed laparoscopic radical resection with preventive ileostomy. All patients of stent group received stoma-closure surgery one month later after rectal resection. There were significantly statistical differences in operating time of ileostomy (28.9±4.3 vs 36.3±2.3, t=11.73, P<0.001) and overall stoma-related complications (1 vs 7, χ(2)=4.155, P=0.042), but no difference in anastomosis leakage, operating time of stoma-reversal, parastomal infection, parastomal hernia and parastomal prolapse. Conclusions: Preventive flap placement of terminal ileostomy represents a secure and feasible approach to laparoscopic low rectal cancer resection. Patients can be released from the discomfort of removing the stent and may suffer fewer stoma-related complications.
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Affiliation(s)
- J W Niu
- Department of General Surgery, China-Japan Friendship Hospital, Beijing 100029, China
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23
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Zhu JJ, Jiao DC, Qiao JH, Wang LN, Ma YZ, Lu ZD, Liu ZZ. [Analysis of predictive effect of Androgen receptor on the response to neoadjuvant chemotherapy in breast cancer patients]. Zhonghua Yi Xue Za Zhi 2018. [PMID: 29534389 DOI: 10.3760/cma.j.issn.0376-2491.2018.08.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the expression of androgen receptor (AR) in the tissues as well as its association with the clinicopathological factors of primary breast cancer patients treated with neoadjuvant chemotherapy (NAC), and analyze the effect of AR in the prediction of pathologic complete response (PCR) rate. Method: A total of 668 breast cancer patients treated with NAC in Henan Cancer Hospital between March 2014 and June 2017 were retrospectively reviewed. The relationship of AR expression and clinicopathological characteristics was calculated using chi square test. Multivariate analysis using binary Logistic regression was used to analyze correlations of different factors with PCR. Result: All patients were female, with the age of 20-76 years old. AR was detected in 74.6% of tumors, and significantly correlated with hormone receptor (HR), human epidermalgrowth factor receptor-2 (HER-2), Ki-67, CK5/6, epidermal growth factor receptor (EGFR) and molecular subtypes (all P<0.05). Multivariate analysis showed that AR, HR and HER-2 were independent predictors for PCR (all P<0.05). Conclusions: The expressions of AR were more frequently in HR positive breast cancer tissues (86.7%), and lowest in triple-negative breast cancer (TNBC) group (23.2%). AR was independent predictor for PCR.
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Affiliation(s)
- J J Zhu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
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24
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Yang ZJ, Yu HM, Liang YS, Zhao JX, Liu ZZ, Li HJ, Wang J, Zhang HT. [The effect of pre-operation (125)I seed activity measuring on dose accuracy]. Zhonghua Yi Xue Za Zhi 2018; 98:3336-3338. [PMID: 30440124 DOI: 10.3760/cma.j.issn.0376-2491.2018.41.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Objective: To measure the activity of (125)I seed and compare the dose difference of ten patients treated with seed implantation in pre-plan with actual seed activity and calibrate activity. Method: The activity of 100 seeds from company A and B was measured with a well-type ionization chamber 1 day before operation and named group A and B. The activity of two groups was compared and the error between actual and calibrate activity (22.2 MBq, group C) was calculated. Ten patients implanted with (125)I seeds from November 1 st to 30 th, 2017, solstice 30 were selected in Hebei General Hospital. Firstly, pre-plans were designed with 22.2 MBq, prescribed dose were 100-140 Gy. The dose parameters of 90% volume absorbed dose (D(90)), 150% volume fraction (V(150)) and 100% volume fraction (V(100)) were calculated. Then changed 22.2 MBq to actual activity of group A and B, calculated the dose parameters above again. Then dose parameters of D(90), V(150), V(100) in group C were compared with those in group A and B respectively. Result: The actual activity 1 day before the operation was(22.6±0.7)and(23.9±0.9)MBq in group A and B respectively. Compared with 22.2 MBq, the difference was statistically significant(t=5.7, P<0.05 and t=19.2, P<0.05), and the activity error of group B was greater than 5%. The D(90) of group A, B and C were (124.3±9.7) , (131.2±10.2) and (121.9±9.5) Gy respectively.The V(150) were 58.4%±9.4%, 63.7%±8.9% and 56.5%±9.2% respectively. The V(100) were 88.9%±5.0%, 92.0%±4.1%, 88.1%±5.2% respectively.The difference of D(90) between calibrate activity(group C) and actual activity(group A and B) were statistically significant (t=40.2, P<0.05 and t=40.3, P<0.05). The difference of V(150) between group C and group A and B were statistically significant (t=7.5, P<0.05 and t=24.7, P<0.05). The difference of V(100) between group C and group A and B were statistically significant (t=6.6, P<0.05 and t=7.3, P<0.05). Conclusion: There is difference between the actual activity and calibration activity. The difference affects the dose parameters in pre-plan.The seed activity should be measured before operation strictly and the pre-plan should be designed with the actual activity.
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Affiliation(s)
- Z J Yang
- Division I, Department of Oncology, Hebei General Hospital, Shijiazhuang 050000, China
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25
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Chen ZX, Li QC, Liu ZZ, Liang RD, Huang B. [Long non-coding RNA RAB11B-AS1 prevents osteosarcoma proliferation via its sense gene RAB11B]. Zhonghua Yi Xue Za Zhi 2018; 98:2509-2514. [PMID: 30139005 DOI: 10.3760/cma.j.issn.0376-2491.2018.31.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To detect the expression of lncRNA RAB11B-AS1 in osteosarcoma and investigate its role in osteosarcoma cells proliferation and the responsible mechanisms. Methods: Osteosarcoma and corresponding adjacent normal tissues were collected from 24 patients subjected to operations from October 2015 to October 2017 in the Third Affiliated Hospital of Southern Medical University.RAB11B-AS1 expression was detected in osteosarcoma specimens by quantitative real-time polymerase chain reaction (qRT-PCR). Lentiviral vectors that stably over-expressing RAB11B-AS1 were constructed and transfected into U2OS osteosarcoma cell line.The effect of RAB11B-AS1 on osteosarcoma cell proliferation and apoptosis was investigated by cell counting kit (CCK-8) assay and flow cytometry.U2OS osteosarcoma xenograft model of nude mice was established to observe the effect of RAB11B-AS1 on xenograft growth in mice, and the role of RAB11B-AS1 in proliferation and apoptosis of osteosarcoma cells was investigated by immunohistochemistry and TUNEL staining of osteosarcoma slices.The relationship between RAB11B-AS1 and RAB11B was explored using luciferase reporter assay.The data were compared with t test between the two groups. Results: Expression of RAB11B-AS1 was significantly down-regulated in osteosarcoma (0.010±0.015) versus their paired non-neoplastic tissues (0.022±0.030) (t=2.117, P=0.045). Up-regulation of RAB11B-AS1 resulted in decreased proliferative rate of U2OS cells (F=15.659, P<0.001). The ratios of cells in G0-G1 phase, S phase, G2-M phase were 62.6%±6.3%, 21.4%±2.2%, 16.3%±1.6% respectively in RAB11B-AS1 up-regulated group versus 59.4%±5.9%, 25.9%±2.6%, 15.5%±1.1% respectively in control group, and cell ratio in G0-G1 and S phase were increased significantly by RAB11B-AS1 up-regulation (t=17.124, 17.321, both P<0.05). Apoptosis rate was significantly elevated in RAB11B-AS1 over-expressed cells (12.7%±1.3%) when compared with that in control (10.3%±1.0%)(t=17.321, P=0.003). Mice transplanted with osteosarcoma cells that overexpressed RAB11B-AS1 exhibited lower growth rate of tumor (F=8.798, P=0.009). Mechanistically, RAB11B-AS1 expression correlated negatively with RAB11B expression (r=-0.356, P=0.044). Conclusions: lncRNA RAB11B-AS1 expression is down-regulated significantly in osteosarcoma tissues.RAB11B-AS1 may suppress the progression of osteosarcoma via down-regulating RAB11B.
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Affiliation(s)
- Z X Chen
- Department of Orthopedics, the Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, China
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26
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Jiang H, Jia LP, Yue Q, Kang KJ, Cheng JP, Li YJ, Wong HT, Agartioglu M, An HP, Chang JP, Chen JH, Chen YH, Deng Z, Du Q, Gong H, He L, Hu JW, Hu QD, Huang HX, Li HB, Li H, Li JM, Li J, Li X, Li XQ, Li YL, Liao B, Lin FK, Lin ST, Liu SK, Liu YD, Liu YY, Liu ZZ, Ma H, Ma JL, Pan H, Ren J, Ruan XC, Sevda B, Sharma V, Shen MB, Singh L, Singh MK, Sun TX, Tang CJ, Tang WY, Tian Y, Wang GF, Wang JM, Wang L, Wang Q, Wang Y, Wu SY, Wu YC, Xing HY, Xu Y, Xue T, Yang LT, Yang SW, Yi N, Yu CX, Yu HJ, Yue JF, Zeng XH, Zeng M, Zeng Z, Zhang FS, Zhang YH, Zhao MG, Zhou JF, Zhou ZY, Zhu JJ, Zhu ZH. Limits on Light Weakly Interacting Massive Particles from the First 102.8 kg×day Data of the CDEX-10 Experiment. Phys Rev Lett 2018; 120:241301. [PMID: 29956956 DOI: 10.1103/physrevlett.120.241301] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Revised: 05/07/2018] [Indexed: 06/08/2023]
Abstract
We report the first results of a light weakly interacting massive particles (WIMPs) search from the CDEX-10 experiment with a 10 kg germanium detector array immersed in liquid nitrogen at the China Jinping Underground Laboratory with a physics data size of 102.8 kg day. At an analysis threshold of 160 eVee, improved limits of 8×10^{-42} and 3×10^{-36} cm^{2} at a 90% confidence level on spin-independent and spin-dependent WIMP-nucleon cross sections, respectively, at a WIMP mass (m_{χ}) of 5 GeV/c^{2} are achieved. The lower reach of m_{χ} is extended to 2 GeV/c^{2}.
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Affiliation(s)
- H Jiang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L P Jia
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Yue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - K J Kang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J P Cheng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H T Wong
- Institute of Physics, Academia Sinica, Taipei 11529
| | - M Agartioglu
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, Ízmir 35160
| | - H P An
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | | | - J H Chen
- Institute of Physics, Academia Sinica, Taipei 11529
| | - Y H Chen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Deng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q Du
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - H Gong
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L He
- NUCTECH Company, Beijing 100084
| | - J W Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Q D Hu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H X Huang
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - H B Li
- Institute of Physics, Academia Sinica, Taipei 11529
| | - H Li
- NUCTECH Company, Beijing 100084
| | - J M Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - X Li
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X Q Li
- School of Physics, Nankai University, Tianjin 300071
| | - Y L Li
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - B Liao
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - F K Lin
- Institute of Physics, Academia Sinica, Taipei 11529
| | - S T Lin
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - S K Liu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y D Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y Y Liu
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Z Z Liu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - J L Ma
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - H Pan
- NUCTECH Company, Beijing 100084
| | - J Ren
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - X C Ruan
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - B Sevda
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Dokuz Eylül University, Ízmir 35160
| | - V Sharma
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M B Shen
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - M K Singh
- Institute of Physics, Academia Sinica, Taipei 11529
- Department of Physics, Banaras Hindu University, Varanasi 221005
| | - T X Sun
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - C J Tang
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - W Y Tang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Y Tian
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - G F Wang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - J M Wang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - L Wang
- Department of Physics, Beijing Normal University, Beijing 100875
| | - Q Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - Y Wang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - S Y Wu
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Y C Wu
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - H Y Xing
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Y Xu
- School of Physics, Nankai University, Tianjin 300071
| | - T Xue
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - L T Yang
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
- Department of Physics, Tsinghua University, Beijing 100084
| | - S W Yang
- Institute of Physics, Academia Sinica, Taipei 11529
| | - N Yi
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - C X Yu
- School of Physics, Nankai University, Tianjin 300071
| | - H J Yu
- NUCTECH Company, Beijing 100084
| | - J F Yue
- YaLong River Hydropower Development Company, Chengdu 610051
| | - X H Zeng
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - Z Zeng
- Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering Physics, Tsinghua University, Beijing 100084
| | - F S Zhang
- College of Nuclear Science and Technology, Beijing Normal University, Beijing 100875
| | - Y H Zhang
- YaLong River Hydropower Development Company, Chengdu 610051
| | - M G Zhao
- School of Physics, Nankai University, Tianjin 300071
| | - J F Zhou
- YaLong River Hydropower Development Company, Chengdu 610051
| | - Z Y Zhou
- Department of Nuclear Physics, China Institute of Atomic Energy, Beijing 102413
| | - J J Zhu
- College of Physical Science and Technology, Sichuan University, Chengdu 610064
| | - Z H Zhu
- YaLong River Hydropower Development Company, Chengdu 610051
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Qin FF, Liu ZZ, Zhang Z, Zhang Q, Xiao JJ. Broadband full-color multichannel hologram with geometric metasurface. Opt Express 2018; 26:11577-11586. [PMID: 29716076 DOI: 10.1364/oe.26.011577] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Accepted: 01/14/2018] [Indexed: 06/08/2023]
Abstract
Due to the abilities of manipulating the wavefront of light with well-controlled amplitude, and phase and polarization, optical metasurfaces are very suitable for optical holography, enabling applications with multiple functionalities and high data capacity. Here, we demonstrate encoding two- and three-dimensional full-color holographic images by an ultrathin metasurface hologram whose unit cells are subwavelength nanoslits with spatially varying orientations. We further show that it is possible to achieve full-color holographic multiplexing with such kind of geometric metasurfaces, realized by a synthetic spectrum holographic algorithm. Our results provide an efficient way to design multi-color optical display elements that are ready for fabrication.
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Jiao DC, Zhu JJ, Qiao JH, Wang LN, Ma YZ, Lu ZD, Liu ZZ. [The influence of lumpectomy on the axillary lymph node status of breast cancer patients]. Zhonghua Zhong Liu Za Zhi 2018; 40:284-287. [PMID: 29730916 DOI: 10.3760/cma.j.issn.0253-3766.2018.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the influence of lumpectomy on axillary lymph node status of breast cancer patients. Methods: The clinical data of 738 invasive breast cancer patients with non-palpable axillary lymph node and sentinel lymph node (SLN) biopsy from November 2011 to August 2013 in Henan Provincial Cancer Hospital were collected and retrospectively analyzed. Among them, 136 patients underwent preoperative lumpectomy (lumpectomy group) and 602 patients underwent puncture biopsy only (biopsy group). The difference of axillary lymph node status and positive ratio of SLN detected by color Doppler ultrasound were compared between these two groups. Results: Among the 738 breast cancer patients, the axillary lymph nodes of 444 (60.2%) cases could be detected by ultrasound. Among them, 92 cases belonged to lumpectomy group, significantly less than 352 cases of biopsy group (P=0.048). Among the patients with ultrasound-visible lymph nodes, the proportion of the biggest diameter of axillary lymph node >1 cm of lumpectomy group or biopsy group was 58.7% (54/92) or 52.8% (186/352), respectively, without significant difference (P=0.316). The proportion of patients with the ratio of long diameter to short diameter <2 of lumpectomy group or biopsy group was 37.0% (34/92) or 38.6% (136/352), respectively, with marginal difference (P=0.768). The positive rate of SLN of lumpectomy group or biopsy group was 23.5% (32/136) or 26.9% (162/602), respectively, without significant difference (P=0.419). The incidence rate of the ultrasound visible axillary lymph nodes of patients whose postoperative time ≤ 7 days or > 7days was 71.1% (64/90) or 60.9% (8/46), respectively, without significant difference (P=0.227). However, the positive rate of SLN of these two groups was 28.9% (26/90) and 13.0% (6/46), respectively, with significant difference (P=0.039). The number of ultrasound visible axillary lymph nodes, the biggest diameter of axillary lymph nodes and the ratio of the long diameter to short diameter <2 were substantially correlated with the positive rate of SLN (P<0.05). Conclusions: The incidence rate of ultrasound visible axillary lymph node in the patients with lumpectomy is higher than that of patients with puncture biopsy only. The positive rate of SLN of the patients with a long postoperative time is lower than that of patients with a short postoperative time, even though the axillary lymph nodes are ultrasound visible.
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Affiliation(s)
- D C Jiao
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - J J Zhu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - J H Qiao
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - L N Wang
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - Y Z Ma
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - Z D Lu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
| | - Z Z Liu
- Department of Breast Surgery, Affiliated Cancer Hospital of Zhengzhou University (Henan Provincial Cancer Hospital), Zhengzhou 450008, China
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Niu JW, Ning W, Wang WY, Pei DP, Meng FQ, Liu ZZ, Cai DG. [Clinical effect of preservation of the left colonic artery in laparoscopic anterior resection for rectal cancer]. Zhonghua Yi Xue Za Zhi 2018; 96:3582-3585. [PMID: 27916080 DOI: 10.3760/cma.j.issn.0376-2491.2016.44.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the value and feasibility of preservation of the left colonic artery (LCA) in laparoscopic anterior resection for rectal cancer. Methods: The clinical data of 97 patiens who received laparoscopic anterior resection of rectal cancer from 2009.3 to 2015.3 were randomly divided into two groups, including 52 cases with preservation of LCA and 45 cases without preservation of LCA. The operation time, quantity of bleeding, number of lymph nodes removed around the root of inferior mesenteric artery (IMA), the rate of lymph node metastasis around the root of IMA, the incidence of transverse colostomy and anastomotic leak were compared between the two groups. Results: All 97 operations were successfully completed by laparoscopic operation. There were significantly statistical differences in operation time, quantity of bleeding and transverse colon stoma between two groups(P<0.05), but no difference in the number of lymph nodes removed and the rate of lymph node metastasis. Conclusions: The preservation of the left colonic artery in laparoscopic anterior resection of rectal cancer can preserve more supplying vessels for anastomosis and prevent anastomotic leak.
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Affiliation(s)
- J W Niu
- Department of General Surgery, China-Japan Friendship Hospital, Beijing 100029, China
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Chen YH, Liu X, Liu ZZ, Li K, Yang L, Zhang HT, Zeng CH, Xu F, Hu WX. [Prognosis and its risk factors in ANCA-associated glomerulonephritis patients treated with initial renal replacement therapy]. Zhonghua Yi Xue Za Zhi 2018; 98:274-279. [PMID: 29397613 DOI: 10.3760/cma.j.issn.0376-2491.2018.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the prognosis and its risk factors in anti-neutrophil cytoplasmic antibodies (ANCA)-associated glomerulonephritis (AAGN) patients who needed initial renal replacement therapy (RRT). Methods: One hundred patients [54 females, 46 males, with a median age of 54(41, 60) years] with biopsy-proven AAGN and requiring initial RRT between January 1996 and December 2016 in Nanjing Jinling Hospital were included. Intensive immunotherapy indicated that the patients received corticosteroids in combination with cyclophosphamide or mycophenolate mofetil, or immunoadsorption (IA) or double filtration plasmapheresis (DFPP). The clinical and histological risk factors for renal survival were analyzed. Results: Forty-one patients were free of RRT after a median time of 1 (0.5, 2) month treatment (dialysis-independent group), and the remaining 59 patients were on maintenance dialysis (dialysis-dependent group). The multivariate logistic analysis revealed that the proportion of normal glomeruli <8% (OR=5.95, P=0.002) and global sclerotic glomeruli ≥50% (OR=4.87, P=0.003), and not receiving intensive immunotherapy (OR=7.81, P=0.004) were the risk factors for the renal recovery in these patients. During a median follow-up time of 22 (10, 50) months, 15 patients(36.6%) in the dialysis-independent group progressed into maintenance dialysis, and the 1 and 3 year renal survival rate were 86% and 60%, respectively. During a median follow-up time of 6 (2, 24) months, 12 (12%) patients died, among whom four patients died of therapy. The multivariate Cox regression analysis revealed that IA/DFPP treatment (HR=10.85, P=0.034) and low albumin level (HR=1.26, P=0.009) significantly associated with a higher risk of therapy-related death. Conclusions: The renal recovery rate in AAGN patients with initial RRT was low. The proportion of normal and global sclerotic glomeruli, receiving intensive immunotherapy or not were associated with renal outcome, and IA/DFPP treatment as well as lower albumin level were independently associated with therapy-related death.
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Affiliation(s)
- Y H Chen
- National Clinical Research Center of Kidney Diseases, Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing 210016, China
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Gu XJ, Shan SJ, Liu ZZ, Jin GZ, Hu ZY, Zhu LL, Zhang J. [The relationship between fragmented QRS complex and coronary collateral circulation in patients with chronic total occlusion lesion without prior myocardial infarction]. Zhonghua Xin Xue Guan Bing Za Zhi 2017; 45:283-287. [PMID: 28545278 DOI: 10.3760/cma.j.issn.0253-3758.2017.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the relationship between fragmented QRS complex(fQRS) and coronary collateral circulation(CCC) in patients with chronic total occlusion(CTO)lesion without prior myocardial infarction. Methods: This retrospective study analyzed 238 consecutive patients with CTO lesion in one of the major coronary arteries from May 2014 to October 2015 in our department. Patients were divided into poor CCC group (grade 0 and 1, 58 cases) and good CCC group(grade 2 and 3, 180 cases) based on Rentrop's classification of CCC. The fQRS was defined as the presence of an additional R wave or notching of R or S wave or the presence of fragmentation in two contiguous electrocardiogram leads corresponding to a major coronary artery territory. Multivariate logistic regression was used to analyze the relationship between CCC and fQRS on electrocardiogram. Results: Compared with good CCC group, patients in poor CCC group had older age((65.2±8.9)years old vs. (60.3±10.1) years old, P=0.03), higher plasma glucose ((7.22±3.00) mmol/L vs.(6.31±1.83)mmol/L, P=0.04), and lower left ventricular ejection fraction ((45.2±11.4)% vs. (51.2±13.5)%, P=0.02). None of patients had Rentrop grade 0, the presence of fQRS on ECG in patients with Rentrop grade 1, grade 2, and grade 3 CCC was 69.0% (40/58), 48.6% (35/72) , and 19.4% (21/108), respectively (P<0.01). The presence of fQRS were higher in poor CCC group than in good CCC group (69.0%(40/58)vs. 31.1%(56/180), P<0.01), and number of leads with fQRS were higher in poor CCC group than in good CCC group (3(0, 4)vs.0(0, 3), P<0.01). Multivariate logistic regression analysis demonstrated that poor CCC growth in patients with CTO lesion without prior myocardial infarction was independently related to the presence of fQRS (OR=3.659, 95%CI 1.619-8.217, P<0.01). Conclusion: Poor CCC in patients with CTO lesion without prior myocardial infarction is independently related to the presence of fQRS on electrocardiogram.
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Affiliation(s)
- X J Gu
- Department of Cardiology, Nanjing Hospital Affiliated to Nanjing Medical University, Nanjing 210006, China
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Wang SF, Chen YH, Chen DQ, Liu ZZ, Xu F, Zeng CH, Hu WX. Mesangial proliferative lupus nephritis with podocytopathy: a special entity of lupus nephritis. Lupus 2017; 27:303-311. [PMID: 28720048 DOI: 10.1177/0961203317720526] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Mesangial proliferative lupus nephritis may coexist with podocytopathy, but its clinical-morphological features, treatment response and outcomes have not been compared with mesangial proliferative lupus nephritis without podocytopathy. In this study, 125 biopsies of lupus nephritis patients showing mesangial proliferation with mesangial immune deposits were collected and divided into podocytopathy group (defined as podocyte foot process effacement (FPE) >50% with nephrotic syndrome (NS)) and mesangial group (FPE ≤50%, or FPE >50% without NS). Mesangial proliferation and tubular- interstitial lesions were semi-quantitatively analyzed. We found that the incidence of renal involvement as the onset symptoms ( P < .001), nephrotic syndrome ( P < .001), acute kidney injury ( P < .001), the degree of acute tubular- interstitial lesions ( P < .001), and renal relapse (51.6% vs. 23.7%, P = .005) were significantly higher in the podocytopathy group than in the mesangial group. In contrast, the incidence of arthritis ( P < .001), fever ( P = .042), low serum C4 ( P = .008) and hematuria ( P = .033) was significantly lower in the podocytopathy group than in the mesangial group. No patients developed end stage renal disease or death during a median follow-up of 64 (interquartile range (IQR) 37-103) months in the podocytopathy group and 53 (IQR 30-83) months in the mesangial group. In conclusion, mesangial proliferative lupus nephritis with and without podocytopathy should be subdivided into two separate classes of lupus nephritis.
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Affiliation(s)
- S F Wang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - Y H Chen
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - D Q Chen
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - Z Z Liu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - F Xu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - C H Zeng
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
| | - W X Hu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital. Nanjing University School of Medicine. Nanjing, China
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Abstract
The aim of this study was to screen for key biomarkers of osteosarcoma (OS) by tracking altered modules. Protein-protein interaction (PPI) networks of OS and normal groups were constructed and re-weighted using the Pearson correlation coefficient (PCC), respectively. The condition-specific modules were explored from OS and normal PPI networks using a clique-merging algorithm. Altered modules were identified by a maximum weight bipartite-matching method. The important biological pathways in OS were identified by a pathway-enrichment analysis using genes from disrupted modules. The most important genes in these pathways were selected as key biomarkers. Finally, the mRNA and protein expressions of hub genes in OS bone tissues were analyzed using reverse transcription-polymerase chain reaction and western blotting, respectively. We identified 703 and 2270 modules in normal and disease networks, respectively; 150 altered modules were identified from among these and explored. We identified 10 important pathways based on gene pairs with altered PCC > 1 in the disrupted modules (P < 0.01), and PCNA, ATP6V1C2, ATP6V1G3, FEN1, CDC7, and RPA3 (expressed in these pathways) were selected as key genes of OS. We observed that these genes (and the proteins they encoded) were differentially expressed between normal and OS samples (P < 0.01) (excluding ATP6V1C2, whose protein expression did not differ significantly). Therefore, we identified 5 gene signatures that may be potential biomarkers for the detection and effective therapy of OS.
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Affiliation(s)
- Z Z Liu
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
| | - S T Cui
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
| | - B Tang
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
| | - Z Z Wang
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
| | - Z X Luan
- Department of Orthopaedics, the Second People's Hospital of Liaocheng, Linqing, China
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Li L, Leng JH, Shi JH, Zhang JJ, Jia SZ, Li XY, Dai Y, Zhang JR, Li T, Xu XX, Liu ZZ, You SS, Chang XY, Lang JH. [A prospective study on the effects of levonorgestrel-releasing intrauterine system for adenomyosis with menorrhagia]. Zhonghua Fu Chan Ke Za Zhi 2016; 51:424-30. [PMID: 27356477 DOI: 10.3760/cma.j.issn.0529-567x.2016.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To investigate treatment effects of levonorgestrel-releasing intrauterine system (LNG-IUS) for adenomyosis with menorrhea in a prospective study. METHODS From December 2006 to December 2014, patients of symptomatic adenomyosis diagnosed by transvaginal ultrasound in outpatient or inpatient clinics of Peking Union Medical College Hospital were given the treatment of LNG-IUS. Before and after placement of LNG-IUS, all the patients' parameters were recorded prospectively, including scores of menstruation blood loss, carrying status of IUS, symptoms and scores of dysmenorrhea, biochemical indicators, physical parameters, menstruation patterns and adverse effects. Changes of pictorial chart scores of menstruation and distribution of anemia during follow-up were analyzed. RESULTS Totally 1 100 women meets inclusion criteria, among which 618 cases (56.18%, 618/1 100) had severe menorrhea, with median follow-up period of 28 months (range 1- 60 months), and accumulative carrying rate of 66% at 60 months follow-up. After placement of LNG-IUS, compared with baselines, pictorial chart scores and ratio of menorrhea had decreased significantly (all P<0.01), the scroes of menstruation were 157±34, 94±35, 70±33, 67±18, 67±20, 65±19, 66±19, 65±21 at 0, 3, 6, 12, 24, 36, 48 and 60 months respectively. During 24 months after placement of LNG-IUS, pictorial chart scores and distribution of anemia had improved significantly compared with preceding period (all P<0.01). We found no dependent factors predicting improvement of pictorial chart scores of menorrhea, which was neither relevant with simultaneous changes of menstruation patterns nor adverse effects (all P>0.05). CONCLUSIONS LNG-IUS is effective for adenomyosis of menorrhea. Improvement of menstruation blood loss is independent on patients characters, menstruation patterns or adverse effects.
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Affiliation(s)
- L Li
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
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Li L, Leng JH, Dai Y, Zhang JJ, Jia SZ, Li XY, Shi JH, Zhang JR, Li T, Xu XX, Liu ZZ, You SS, Chang XY, Lang JH. [A prospective cohort study on effects of levonorgestrel-releasing intrauterine system for adenomyosis with severe dysmenorrhea]. Zhonghua Fu Chan Ke Za Zhi 2016; 51:345-51. [PMID: 27256441 DOI: 10.3760/cma.j.issn.0529-567x.2016.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To investigate treatment effects of levonorgestrel-releasing intrauterine system (LNG-IUS) for adenomyosis with severe dysmenorrhea in a prospective cohort study. METHODS From December 2006 to December 2014, patients of symptomatic adenomyosis diagnosed by transvaginal ultrasound in outpatient or inpatient clinics of Peking Union Medical College Hospital were given the treatment of LNG-IUS. Before and after placement of LNG-IUS, all the patients' parameters were recorded prospectively, including symptoms and scores of dysmenorrhea, menstruation scores, biochemical indicators, physical parameters, carrying status of LNG-IUS, menstruation patterns and adverse effects. Changes of scores and patterns of pain during follow-up were analyzed. RESULTS Totally 1 100 women meets inclusion criteria, among which 640 cases (58.18%, 640/1 100) had severe dysmeorrhea, with median follow-up period of 35 months (range 1-60 months), and accumulative carrying rate of 65% at 60 months follow-up. After placement of LNG-IUS, scores of pain and ratio of severe dysmenorrhea had decreased significantly compared with baselines (all P<0.01), the scroes of visual analog scale (VAS) were 8.1±0.9, 5.5±2.4, 4.6±2.4, 3.3±2.2, 2.2±2.1, 2.2±1.8, 1.4±1.6 and 1.3±1.3 at 0, 3, 6, 12, 24, 36, 48 and 60 months respectively. During 36 months after placement of LNG-IUS, scores of pain had improved significantly compared with preceding period (all P<0.01). We found no universal dependent factors predicting improvement of pain, which was neither relevant with simultaneous changes of menstruation patterns nor adverse effects (all P>0.05). CONCLUSION LNG-IUS is effective for adenomyosis of severe dysmenorrhea. Improvement of pain is independent on patients characters, menstruation patterns or adverse effects.
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Affiliation(s)
- L Li
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
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Liu ZZ, Lei TC. [Ultrastructural changes of epidermal calcium gradient and lipid lamellar membrane in depigmented skin lesions of vitiligo patients]. Zhonghua Yi Xue Za Zhi 2016; 96:1108-1111. [PMID: 27095778 DOI: 10.3760/cma.j.issn.0376-2491.2016.14.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
OBJECTIVE To investigate the effects of melanin disappearance in vitiliginous skin on the ultrastructure of epidermal calcium distribution and the stratum corneum (SC) lipid lamellar membranes. METHODS Five outpatients with stable vitiligo vulgaris and 5 healthy controls were recruited from August 2014 to February 2015 at Department of Dermatology, Renmin Hospital of Wuhan University. The ultrastructural changes of lipid lamellar membranes of the skin were assessed using transmission electron microscopy (TEM) technique in combination with ruthenium tetroxide (RuO4) staining. The concentration and distribution of calcium precipitates in the epidermis were studied using calcium ion-capture cytochemistry combined with TEM. RESULTS The multilayered lipid lamellae existed within the intercellular space of the normal SC with a characteristic alternating electron-dense and electron-lucent pattern. Expanded intercellular space, fragmentation and lamellar separation were observed in the depigmented skin lesions from vitiligo patients, the bulbous regions of lipid lamellae were filled with electron-dense amorphous materials. Large clumps of calcium precipitates were visualized in the stratum granulosum (SG) of normal skin, fine calcium precipitates and stage Ⅳ melanosomes were noted within the normal stratum basale (SB). In depigmented skin lesions of vitiligo, both the size and number of calcium precipitates in the SG were dramatically decreased. Melanosome was barely seen in the vitiligo SB. CONCLUSION Disrupted ultrastructure of SC lamellar membranes and disappearance of calcium gradient co-exist in the skin lesion of vitiligo, indicating that melanin in epidermis may play a role in formation of epidermal calcium gradient and maintenance of structural integrity of permeability barrier.
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Affiliation(s)
- Z Z Liu
- Department of Dermatology, Wuhan University, Renmin Hospital, Wuhan 430060, China
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Liu ZZ, Yao D, Zhang J, Li ZL, Ma J, Liu SY, Qu J, Guan SY, Wang DD, Pan LD, Wang D, Wang PW. Identification of genes associated with the increased number of four-seed pods in soybean (Glycine max L.) using transcriptome analysis. Genet Mol Res 2015; 14:18895-912. [PMID: 26782540 DOI: 10.4238/2015.december.28.39] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Seed number per pod is an important component of yield traits in soybean (Glycine max L.). In 2010, we identified a natural mutant with an increased number of four-seed pods from a soybean variety named 'Jinong 18' (JN18). Subsequent observations indicated that the trait was stably inherited. To identify and understand the function of genes associated with this mutant trait, we analyzed the genetic differences between the mutant (JN18MT01) and source variety (JN18) by transcriptome sequencing. Three types of tissues, axillary buds, unfertilized ovaries, and young pods at three different growth stages, V6, R1, and R3, were analyzed, respectively. The sequencing results yielded 55,582 expressed genes and 4183 differentially expressed genes (DEGs). Among these, the log2 ratio value of 162 DEGs was >10, and 13 DEGs had overlapping expression at three different growth stages. Comparisons of DEGs among three different growth stages yielded similar results in terms of the percentage of genes classified into each gene ontology (GO) category. DEGs were classified into 25 different functional groups in clusters of orthologous groups analysis. Proportions of the main functional genes differed significantly over developmental stages. A comparison of enriched pathways among the three developmental stages revealed that 646 unigenes were involved in 103 metabolic pathways. These results show that the development of four-seed pods is associated with a complex network involving multiple physiological and metabolic pathways. This study lays the foundation for further research on cloning and on the molecular regulation of genes related to the four-seed pod mutation.
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Affiliation(s)
- Z Z Liu
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - D Yao
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - J Zhang
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - Z L Li
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - J Ma
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - S Y Liu
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - J Qu
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - S Y Guan
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - D D Wang
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - L D Pan
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - D Wang
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
| | - P W Wang
- Center for Plant Biotechnology, Jilin Agricultural University, Changchun, China
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Yao D, Liu ZZ, Zhang J, Liu SY, Qu J, Guan SY, Pan LD, Wang D, Liu JW, Wang PW. Analysis of quantitative trait loci for main plant traits in soybean. Genet Mol Res 2015; 14:6101-9. [PMID: 26125811 DOI: 10.4238/2015.june.8.8] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Plant traits are important indices for regulating and controlling yield ability in soybean varieties. It is important to comprehensively study the quantitative trait locus (QTL) mapping for soybean plant traits, cloning related genes, and marker assistant breeding. In this study, 236 F2 generation plants and a derivative group were constructed by using Jiyu50 and Jinong18, obtained from Jilin Province. A total of 102 simple sequence repeat markers were used to construct a genetic linkage map. With 2 years of molecular and phenotypic data, QTL analyses and mapping were conducted for soybean maturity, plant height, main stem node, main stem branch, seed weight per plant, and more. Five main plant traits were analyzed via inclusive composite interval mapping using QTL IciMapping v2.2. Using one-dimensional scanning, a total of 30 QTLs were detected and distributed across 1 (A1), 4 (C2), and 12 (G). There were 9 linkage groups, including 16 major QTLs. Using two-dimensional scanning, 7 pairs of epistatic QTL interactions for maturity and plant height were detected in the soybean.
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Affiliation(s)
- D Yao
- Biotechnology Center, Jilin Agricultural University, Changchun, China
| | - Z Z Liu
- Biotechnology Center, Jilin Agricultural University, Changchun, China
| | - J Zhang
- Biotechnology Center, Jilin Agricultural University, Changchun, China
| | - S Y Liu
- Biotechnology Center, Jilin Agricultural University, Changchun, China
| | - J Qu
- Biotechnology Center, Jilin Agricultural University, Changchun, China
| | - S Y Guan
- Biotechnology Center, Jilin Agricultural University, Changchun, China
| | - L D Pan
- Biotechnology Center, Jilin Agricultural University, Changchun, China
| | - D Wang
- Biotechnology Center, Jilin Agricultural University, Changchun, China
| | - J W Liu
- Biotechnology Center, Jilin Agricultural University, Changchun, China
| | - P W Wang
- Biotechnology Center, Jilin Agricultural University, Changchun, China
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Affiliation(s)
- Y S Kanwar
- Department of Pathology, Northwestern University Medical School, Chicago, Ill
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Hu WX, Chen YH, Bao H, Liu ZZ, Wang SF, Zhang HT, Liu ZH. Glucocorticoid with or without additional immunosuppressant therapy for patients with lupus podocytopathy: a retrospective single-center study. Lupus 2015; 24:1067-75. [PMID: 25819933 DOI: 10.1177/0961203315578766] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2015] [Accepted: 03/02/2015] [Indexed: 01/22/2023]
Abstract
Lupus podocytopathy is a newly recognized class of lupus nephritis characterized by extensive glomerular foot process effacement without capillary wall immune deposits. The treatment response and relapse of glucocorticoid with or without additional immunosuppressive agents has not been well investigated. In this study, 50 patients with lupus podocytopathy were included and received glucocorticoid alone (glucocorticoid monotherapy) or glucocorticoid plus additional immunosuppressive agents (combination therapy) for their induction or maintenance treatment regimens. The treatment response and relapse rate in the two groups were respectively analyzed. We found that the induction treatment with glucocorticoid monotherapy and combination therapy led to remission in 47 patients (94.0%) at 12 weeks treatment, with complete remission (CR) occurring in 38 patients (76.0%). The CR rate compared between glucocorticoid monotherapy and combination therapy showed no difference (76.7% vs 75.0%, p = 0.9), the median time to CR was four weeks (range: 2.0-6.0 weeks) in glucocorticoid monotherapy and 8.0 weeks (range: 3.7-12.0 weeks) in combination therapy (p = 0.076). Twenty-seven of 47 patients (57.4%) relapsed during maintenance, the relapse rate was much higher in the glucocorticoid monotherapy group than in the combination therapy group (89.5% vs 35.7%, p < 0.001), regardless of the induction regimens being glucocorticoid monotherapy or combination therapy. No patient developed end stage renal disease or died during follow-up for 6-125 months (median 62 months). In conclusion, the remission of lupus podocytopathy could be induced by glucocorticoid monotherapy or glucocorticoid plus other immunosuppressive agents, while the remission should be maintained by the combination regimen.
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Affiliation(s)
- W X Hu
- National Clinical Research Center of Kidney Diseases Jingling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Y H Chen
- National Clinical Research Center of Kidney Diseases Jingling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - H Bao
- National Clinical Research Center of Kidney Diseases Jingling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Z Z Liu
- National Clinical Research Center of Kidney Diseases Jingling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - S F Wang
- National Clinical Research Center of Kidney Diseases Jingling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - H T Zhang
- National Clinical Research Center of Kidney Diseases Jingling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Z H Liu
- National Clinical Research Center of Kidney Diseases Jingling Hospital, Nanjing University School of Medicine, Nanjing, China
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Jiao DC, Lu ZD, Qiao JH, Yan M, Cui SD, Liu ZZ. Expression of CDCA8 correlates closely with FOXM1 in breast cancer: public microarray data analysis and immunohistochemical study. Neoplasma 2015; 62:464-9. [PMID: 25866227 DOI: 10.4149/neo_2015_055] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Forkhead Box M1 (FOXM1) is an oncogenic transcription factor implicated in breast cancer progression and metastasis. However, the clinical significance of FOXM1 and its associated signaling genes in human breast cancer still needed to be clarified. In this study, we first analyzed the co-expression gene pattern of FOXM1 in three breast cancer gene expression microarray datasets from the Oncomine database. Cell division cycle associated 8 (CDCA8) gene was identified to correlate closely with FOXM1. In silico analysis further indicated that CDCA8 overexpressed in breast cancer tissues compared with the normal controls is significantly associated with the triple-negative phenotype. Experimentally, we performed a immunohistochemical study to detect the expression of CDCA8 in 112 breast cancer samples, and evaluated its clinicopathological and prognostic significance. We found that CDCA8 was frequently over-expressed in breast cancer tissues, and increased expression of CDCA8 was positively associated with FOXM1 expression, triple-negative phenotype and shorter overall survival. Moreover, we also found that combination of CDCA8 and FOXM1 showed a higher hazard ratio than the individual markers. Our results suggest that FOXM1-CDCA8 signature might be involved in breast cancer progression, and serves as a potential prognostic factor and a promising therapeutical target.
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Abstract
A 56-year-old man presented with fevers up to 40°C and acute pain in the left upper quadrant. Full blood count was normal and biochemical tests revealed increased serum globulin. Abdominal ultrasound revealed hepatomegaly and splenomegaly with multiple enlarged lymph nodes in the neck, axilla, and inguinal regions. The bone marrow smear was negative. Splenectomy was performed and the pathology revealed splenic ischemic infarcts. Biopsy of one of the axillary lymph nodes revealed macrophages filled with leishmanias. The patient tested positive by the rk39 dipstick test. He was treated with sodium stibogluconate and showed full recovery.
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Affiliation(s)
- Z Z Liu
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
| | - X J Lv
- Center of Infectious Diseases, West China Hospital of Sichuan University, Chengdu, China
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Roberts NJ, Jones LN, Liu ZZ, Tagziria H, Thomas DJ. Bonner sphere measurements of 241Am-B and 241Am-F neutron energy spectra unfolded using high-resolution a priori data. Radiat Prot Dosimetry 2014; 161:225-228. [PMID: 24126487 DOI: 10.1093/rpd/nct238] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
High-resolution neutron energy spectra, covering the entire energy range of interest, for two standard radionuclide neutron sources ((241)Am-B and (241)Am-F) have been derived from Bonner sphere measurements by using high-resolution a priori data in the unfolding process. In each case, two a priori spectra were used, one from a two-stage calculation and also one from a combination of the calculated spectrum with a high-resolution measured spectrum. The unfolded spectra are compared with those published elsewhere and show significant differences from the ISO- and IAEA-recommended spectra for (241)Am-B and (241)Am-F, respectively. Values for the fluence-average energy and fluence-to-dose-equivalent conversion coefficients are presented for the new spectra, and the implications of the new spectra for the emission rates of the sources when measured by the manganese bath technique are also determined.
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Affiliation(s)
- N J Roberts
- National Physical Laboratory, Hampton Road, Teddington, Middx TW11 0LW, UK
| | - L N Jones
- National Physical Laboratory, Hampton Road, Teddington, Middx TW11 0LW, UK
| | - Z Z Liu
- National Physical Laboratory, Hampton Road, Teddington, Middx TW11 0LW, UK
| | - H Tagziria
- National Physical Laboratory, Hampton Road, Teddington, Middx TW11 0LW, UK
| | - D J Thomas
- National Physical Laboratory, Hampton Road, Teddington, Middx TW11 0LW, UK
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Hui YT, Yang YQ, Liu RY, Zhang YY, Xiang CJ, Liu ZZ, Ding YH, Zhang YL, Wang BR. Significant association of APOA5 and APOC3 gene polymorphisms with meat quality traits in Kele pigs. Genet Mol Res 2013; 12:3643-50. [PMID: 24085428 DOI: 10.4238/2013.september.13.8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Apolipoprotein A5 (APOA5) and C3 (APOC3) genes are involved in the PPAR lipid metabolism pathway and thus associated with elevated triglyceride levels. However, whether APOA5 and APOC3 genetic polymorphisms affect intramuscular fat deposition and other meat quality traits remains unknown in pigs. One hundred and seventy-one Kele pigs were sampled to investigate genetic variants in the APOA5 and APOC3 genes and their association with seven pork quality traits. We identified 5 single nucleotide polymorphisms (SNPs) in the promoter region of the APOA5 gene and 17 SNPs in the APOC3 gene. Linkage disequilibrium analysis revealed 5 complete linkage disequilibria among these 22 SNPs. We found that 10 SNPs were significantly correlated with meat quality traits, including the mutation A5/-769 in the APOA5 gene, which was significantly associated with cooked weight percentage, and 9 SNPs in the APOC3 gene that were significantly associated with drip loss rate, meat color value of longissimus dorsi muscle and shear force. Therefore, these SNP markers will be useful for marker-assisted selection for improved pork quality.
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Affiliation(s)
- Y T Hui
- Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Guizhou University, Ministry of Education, Guiyang, China
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Pan Q, Ning Y, Chen LZ, Zhang S, Liu ZZ, Yang XX, Wei W, Wei H, Li QG, Yue HN, Wang JX. Association of MHC class-III gene polymorphisms with ER-positive breast cancer in Chinese Han population. Genet Mol Res 2012; 11:4299-306. [PMID: 23079975 DOI: 10.4238/2012.september.17.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Polymorphisms of the major histocompatibility complex (MHC) have been linked to many diseases, especially autoimmune disorders. Previous studies have shown that genetic variants in MHC class III are associated with breast cancer. To determine if there is an association between MHC class III and breast cancer risk in the Chinese Han population, we carried out a hospital-based case-control study in Guangdong and Jiangsu Provinces, including 216 histologically confirmed breast cancer patients and 216 healthy controls. Nine SNP markers distributed in the class III-coding region were detected using the Sequenom MassARRAY(®) iPLEX System. Deviation from Hardy-Weinberg equilibrium was observed for seven SNPs. There was no significant association between these seven SNP variants and breast cancer in these Chinese women (unconditional logistic regression analysis). However, chr6_31697494 at BAT2, one of the seven SNPs, was found to be significantly associated with both ER- and PR-positive breast cancer. In addition, both chr6_31911109 at C6orf48 and chr6_31975605 at ZBTB12, another two of the seven SNPs, show relevance with ER-positive breast cancer. In conclusion, this is the first evidence that genetic polymorphisms in the MHC class III region are significantly associated with ER-positive breast cancer in the Han Chinese population.
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Affiliation(s)
- Q Pan
- Laboratory of Medical Genetics, Huaian Maternal and Child Health Care Hospital, Huai'an, Jiangsu Province, China
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Hu WX, Liu ZZ, Chen HP, Zhang HT, Li LS, Liu ZH. Clinical characteristics and prognosis of diffuse proliferative lupus nephritis with thrombotic microangiopathy. Lupus 2010; 19:1591-8. [PMID: 20798137 DOI: 10.1177/0961203310376523] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We retrospectively analyzed the clinicopathologic characteristics and prognosis of 33 patients with diffuse proliferative lupus nephritis (class IV LN) complicated with thrombotic microangiopathy (TMA). Eighty-one percent of patients had renal dysfunction (mean Scr 3.1 ± 2.0 mg/dl), among whom 42.4% needed acute hemodialysis. Nephrotic proteinuria, gross hematuria and hypertension were presented in 57.6%, 24.2% and 93.9% of the patients. Microangiopathic hemolytic anemia, serum anti-dsDNA and anticardiolipin antibodies were found in 60.6%, 75.8% and 33.3% of the patients. Renal biopsy showed IV-G in 75.8%, class IV with class V in 21.2%, and IV-S in 1.23% of the patients. Glomerular segmental necrosis, microthrombi, crescents and arteriolar thrombosis were found in 51.5%, 69.7%, 60.6% and 60.7% of the patients, respectively. The follow up was 1 to 101 months (median 13 months). Only 50% of patients showed response to treatment. Three patients died, 10 developed end-stage renal failure (ESRF). The 5-year patient and renal survival rate was 69.2% and 46.7%, respectively. Major risks for ESRF included: a need for acute dialysis on admission, no response to the treatment and high renal chronic index. The results showed that class IV lupus nephritis with TMA has high mortality and low renal survival.
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Affiliation(s)
- W X Hu
- Research Institute of Nephrology, Jinling Hospital, Nanjing University School of Medicine, Nanjing 210002, Jiangsu, China
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47
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Gong YF, Li XL, Liu ZZ, Jin XM, Zhou RY, Li LH, Zhang Q. SNP detection and haplotype analysis in partial sequence of MSTN gene in sheep. Genetika 2009; 45:1646-1649. [PMID: 20198976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Polymerase chain reaction (PCR) products of the MSTN gene amplified from sixty sheep of nine Chinese indigenous sheep breeds and one imported sheep breed were sequenced to identify the single-nucleotide polymorphisms (SNPs) in a 378-bp fragment including intron 2 and exon 3 of the MSTN gene. A total of fifteen SNPs (A1937C, T1942G, C1956T, A1972C, A1990G, A2008C, A2011G, C2019T, A2025C, A2027C, T2085G, T2173C, C2198T, C2210T and C2213T) were detected among the sixty sequenced individuals and they were all located in intron 2. Twelve haplotypes were identified from these fifteen SNPs, of which haplotype I (CGTCGCGTCCGCTTT) and VIII (ATCAAAACAATTCCC) were the two major and basic ones with frequencies of 12.25% and 77.80%, respectively. Haplotype VIII was distributed in all sheep breeds and all individuals of the meat or meat-wool type sheep breeds were homozygous with respect to this haplotype. This suggests that haplotype VIII might be related to meat production traits in sheep. Haplotype I was only distributed in the fur, lambskin type and fur-meat type sheep breeds. This suggests that haplotype I may have some relationship with fur traits in sheep.
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Affiliation(s)
- Y F Gong
- Hebei Key Laboratory of Veterinary Preventive Medicine, Department of Animal Science, Hebei Normal University of Science & Technology, Changli, 066600, China
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Wang XW, Zhong NN, Hu DM, Liu ZZ, Zhang ZH. Polycyclic aromatic hydrocarbon (PAHs) pollutants in groundwater from coal gangue stack area: characteristics and origin. Water Sci Technol 2009; 59:1043-1051. [PMID: 19273905 DOI: 10.2166/wst.2009.050] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
The concentrations of polycyclic aromatic hydrocarbons (PAHs) in the leachate from the gangue and 20 groundwater samples, which were collected from the 12th Coal Mine around gangue piles in Henan Province, China, were determined by SPE-GC-MS. The characteristics of PAHs pollutants in groundwater were investigated, and compared with the concentrations of PAHs in the leachate from different weathered gangues to discuss the pollution effects of PAHs from coal gangue on groundwater. The results showed that total concentrations of the 16 EPA preferentially controlled PAHs ranged from 146.9 ng/L to 1220.6 ng/L.The components of PAHs such as chrysene, benzo[a]anthracene, benzo[b + k]fluoranthene, indeno[1,2,3-c,d]-pyrene, and dibenz[a,h]anthracene were fairly high. The 2-4 rings PAHs such as naphthalene, phenanthrene, fluorene and chrysene were dominant in groundwater, which was similar to those of the leachate from the different weathered gangues. Therefore, it should be paid much more attention on the transport of lower ring numbered PAHs leached by rains from the coal mines after landfilling and dumping. Based on the spatial distribution of PAHs and the high concentrations of PAHs with 2-4 rings in groundwater and leaching samples, there might be other pollution sources of PAHs except for penetration from coal gangue into groundwater in the Pingdingshan coal mine area.
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Affiliation(s)
- X W Wang
- State Key Laboratory of Petroleum Resource and Prospecting, Faculty of Natural Resources & Information Technology, China University of Petroleum, Beijing, 102249, China.
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Xie ZX, Niu YH, Ma HX, Yin YH, Liu ZZ, Li ZY. Association of beta-adrenoceptor single nucleotide polymorphisms with resting heart rate. Conf Proc IEEE Eng Med Biol Soc 2007; 2004:2948-51. [PMID: 17270896 DOI: 10.1109/iembs.2004.1403837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
The association of beta-adrenoceptor (B-AR, including three subgroups: Beta1, Beta2 and Beta3) single nucleotide polymorphisms (SNP) with resting heart rate (RHR) were analyzed. RHR of 107 healthy subjects in the supine were detected by computerized system for 8 minutes. Genotyping SNPs of S/G49 and R/G389 of Beta1-AR and W/R64 of Beta3-AR in these subjects were by means of PCR-restriction fragment length polymorphism (PCR-RFLP) technique. Genotyping SNPs of R/G16 and Q/E27 of Beta1-adrenoceptor in these subjects were by means of allele specific primer-PCR (ASP-PCR) technique. It was found that there was no significant difference among RHRs corresponding above SNPs of B-AR, but the SNP of R/G389 of Beta1-AR, in which there was significant difference among RHRs (P<0.05). Either in the female individuals or in the male, those with Beta1-AR G/G389 genotype had the highest RHR. The females with R/R389 genotype had the lowest RHR, however, the males with R/G389 genotype had the lowest RHR. The RHR was not only associated with R/G389 polymorphism of Beta1-adrenoceptor gene significantly, but also was associated with gender in Chinese.
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Affiliation(s)
- Z X Xie
- Dept. of Biomed. Eng., Chongqing Univ., China
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50
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Abstract
Sex-linked dwarf chickens caused by the mutation of the growth hormone receptor gene are characterized by normal growth hormone (GH), very low insulin-like growth factor I (IGF-I) level in the blood, and reduced growth. It has been demonstrated that the sex-linked dwarfing gene has negative effects on female reproduction. In the current study, dwarf cocks and their phenotypic normal siblings were used to investigate the effects of dwarf gene on male reproduction. Dwarf cocks grew slower than the normal cocks did, and at 20 wk of age, their BW were 36.4% smaller. However, all parameters for semen quality, including volume, sperm concentration, viability, mobility, pH, and percentage of abnormal sperms, examined at 30 wk of age showed no significant difference between normal and dwarf cocks. The fertility of dwarf cocks was 95.2%, and the normal was 92.4%. The concentrations of GH and IGF-I in serum and seminal plasma were measured with RIA and ELISA, respectively. The serum GH in the dwarf cocks was significantly higher than their normal siblings (P < 0.05), whereas the serum IGF-I in the dwarf cocks was very low. However, the concentration of seminal IGF-I in dwarf cocks was similar to that of their normal siblings, indicating that IGF-I might be produced and acted independently in testis. In conclusion, the deficiency in GH receptor did not affect the male reproduction in dwarf chickens, and the fertility of dwarf cocks could be satisfactory for production when artificial insemination was adopted.
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Affiliation(s)
- J X Zheng
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100094, China
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