101
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Zhang Q, Shen K, Song C, Ouyang Q, Liu Z, Liu Q, Wang X, Yang Y, Qian C, Shao Z. 3MO Patient-reported outcomes (PROs) of Chinese patients (pts) in monarchE: Abemaciclib plus endocrine therapy (ET) in adjuvant treatment of HR+, HER2-, node-positive, high-risk, early breast cancer (EBC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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102
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Wang J, Liu Z, Zhang Q, Zhang J, Wang R, Wang T, MA J, Shi F, Su J, Yuan W. The Choice of 2D-Brachytherapy or 3D-Brachytherapy for Cervical Cancer Patients after External Beam Radiation Based on Residual Gross Tumor Volume. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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103
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Chowdhury MAZ, Ok K, Luo Y, Liu Z, Chen S, O’Halloran TV, Kettimuthu R, Tekawade A. ROI-Finder: machine learning to guide region-of-interest scanning for X-ray fluorescence microscopy. J Synchrotron Radiat 2022; 29:1495-1503. [PMID: 36345757 PMCID: PMC9641565 DOI: 10.1107/s1600577522008876] [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] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/05/2022] [Indexed: 06/16/2023]
Abstract
The microscopy research at the Bionanoprobe (currently at beamline 9-ID and later 2-ID after APS-U) of Argonne National Laboratory focuses on applying synchrotron X-ray fluorescence (XRF) techniques to obtain trace elemental mappings of cryogenic biological samples to gain insights about their role in critical biological activities. The elemental mappings and the morphological aspects of the biological samples, in this instance, the bacterium Escherichia coli (E. Coli), also serve as label-free biological fingerprints to identify E. coli cells that have been treated differently. The key limitations of achieving good identification performance are the extraction of cells from raw XRF measurements via binary conversion, definition of features, noise floor and proportion of cells treated differently in the measurement. Automating cell extraction from raw XRF measurements across different types of chemical treatment and the implementation of machine-learning models to distinguish cells from the background and their differing treatments are described. Principal components are calculated from domain knowledge specific features and clustered to distinguish healthy and poisoned cells from the background without manual annotation. The cells are ranked via fuzzy clustering to recommend regions of interest for automated experimentation. The effects of dwell time and the amount of data required on the usability of the software are also discussed.
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Affiliation(s)
- M. A. Z. Chowdhury
- Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - K. Ok
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA
| | - Y. Luo
- X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Z. Liu
- Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - S. Chen
- X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
| | - T. V. O’Halloran
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA
- Department of Chemistry, Michigan State University, East Lansing, MI 48824, USA
| | - R. Kettimuthu
- Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - A. Tekawade
- Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA
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104
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Barry A, Bezjak A, Kiss A, Helou J, Goodwin P, Liu Z, Ringash J, Munoz Schuffenegger P, Wong R. The Impact of Disease Progression on Health-Related Quality of Life Outcomes in Patients with Oligo-Metastatic Disease at 12-Months post Stereotactic Body Radiotherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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105
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Scott A, Weersink M, Liu Z, Milosevic M, Croke J, Fyles A, Lukovic J, Rink A, Beiki-Ardakani A, Borg J, Xie J, Chan K, Ballantyne H, Skliarenko J, Conway J, Gladwish A, Weersink R, Han K. Comparing Dosimetry of Locally Advanced Cervix Cancer Patients Treated with 3 vs. 4 Fractions of MRI-Guided Brachytherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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106
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Wong P, Cheung R, Ito E, Lopez M, Rubinstein E, Keller H, Cheung F, Liu Z, Liu F. Evaluating the Short-Term Environmental and Clinical Effects of a Radiation Oncology Department's Response to the COVID-19 Pandemic (STEER COVID-19). Int J Radiat Oncol Biol Phys 2022. [PMCID: PMC9595451 DOI: 10.1016/j.ijrobp.2022.07.1447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Purpose/Objective(s) During the COVID-19 pandemic, hypofractionated regimens and virtual care was adopted by our institution to preserve hospital capacity and reduce foot traffic. This study's primary objective was to assess the collective environmental impact of these strategic changes by identifying sources of carbon dioxide equivalents (CO2e). As sustainable healthcare is only justifiable if the quality of the care is maintained, we also evaluated the rate of radiation-related acute adverse event. Materials/Methods All patients treated with external beam radiation therapy from April 1, 2019 to March 31, 2021 at our single institution were identified (n=10,175) along with their radiotherapy visits (176,423 fractions), and visits to the radiation nursing clinic (RNC) or emergency (ER) department. A treatment regimen was considered hypofractionated if the dose per fraction was ≥ 240 cGy. If the dose per fraction was ≥ 600 cGy and the total dose of the treatment regimen was > 2000 cGy, then the treatment regimen was classified as SBRT. Out-patient hospital and virtual visits (n=75,853) during this same period were also analyzed. Environmental impact measures, including linear accelerator power usage, patient travel distances, and personal protection equipment (PPE) consumption were all converted into CO2e. A waiver of individual patient consent was granted for this study by our institution's Research Ethics Board (REB). Results The use of curative hypofractionated regimens increased from 17% to 27% during the pandemic year. Twelve out of 15 cancer sites increased their use of hypofractionated regimens. Carbon footprint was reduced by 39% during the pandemic year (1,332,388 kg CO2e) as compared to the pre-pandemic year (2,024,823 kg CO2e). For comparison, the 744 tonnes of CO2e saved during the pandemic year equates to the CO2e produced by the annual energy consumption of 182 Canadian households or the CO2e sequestered by 12,000 seedling trees planted and grown for 10 years. On average 121 kg CO2e and 100 kg CO2e were emitted per radiation regimen delivered during the pre-pandemic and pandemic year, respectively. Comparing patients in the pre-pandemic vs. pandemic year, there was a significant reduction in the proportion of hypofractionated patients who needed a visit to either the RNC (39% vs. 25%; p<0.001) or ER (6% vs. 2%; p<0.001) during and within 90 days of radiotherapy. Conclusion This study demonstrated the environmental benefits of increased use of hypofractionated regimens and virtual care, while assuring that there was no added acute radiation-related adverse event. Our findings support their continued use as one of many long-term strategies to reduce the environmental footprint of healthcare delivery. Treatment efficacy and side-effects will need to be assessed in subsequent years to further support the sustainability of these strategies.
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107
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Zhou C, Lu Y, Kim SW, Baisamut (Reungwetwattana) T, Zhou J, Zhang Y, He J, Yang J, Cheng Y, Lee SH, Chang J, Fang J, Liu Z, Bu L, Qian L, Xu T, Archer V, Hilton M, Zhou M, Zhang L. LBA11 Alectinib (ALC) vs crizotinib (CRZ) in Asian patients (pts) with treatment-naïve advanced ALK+ non-small cell lung cancer (NSCLC): 5-year update from the phase III ALESIA study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
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108
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Holt F, Probert J, Liu Z, Duane F, Ntentas G, Darby S, Dodwell D, Coles C, Haviland J, Kirby A, Taylor C. Proton beam therapy for early breast cancer: a systematic review and quantitative synthesis of adverse clinical outcomes. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01474-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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109
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Tang Y, Ma H, Zhou H, Liu Z, Zhang H, Zhang W, Cai Y, Li Y, Wei L, Liu S, Wang W, Fang H, Song Y, Chen B, Lu N, Jing H, Qi S, Zhang W, Liu Y, Wang S, Wang X, LI Y, Jin J. Preliminary Results of a Prospective Phase II Study of Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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110
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Wu YL, Zhao J, Hu J, Wu J, Xu Y, Yang Z, Liu Z, Jiang L, Chen J, Yu Y, Huang M, Dong X, Liu L, Feng W, Wu L, Cang S, Sun J, Xie Q, Chen HJ. 388P Capmatinib in Chinese adults with EGFR wt, ALK rearrangement negative (ALK-R−), MET exon 14 skipping mutation (METex14), advanced NSCLC: Results from the phase II GEOMETRY-C study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
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111
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Phong VH, Nishimura S, Lorusso G, Davinson T, Estrade A, Hall O, Kawano T, Liu J, Montes F, Nishimura N, Grzywacz R, Rykaczewski KP, Agramunt J, Ahn DS, Algora A, Allmond JM, Baba H, Bae S, Brewer NT, Bruno CG, Caballero-Folch R, Calviño F, Coleman-Smith PJ, Cortes G, Dillmann I, Domingo-Pardo C, Fijalkowska A, Fukuda N, Go S, Griffin CJ, Ha J, Harkness-Brennan LJ, Isobe T, Kahl D, Khiem LH, Kiss GG, Korgul A, Kubono S, Labiche M, Lazarus I, Liang J, Liu Z, Matsui K, Miernik K, Moon B, Morales AI, Morrall P, Nepal N, Page RD, Piersa-Siłkowska M, Pucknell VFE, Rasco BC, Rubio B, Sakurai H, Shimizu Y, Stracener DW, Sumikama T, Suzuki H, Tain JL, Takeda H, Tarifeño-Saldivia A, Tolosa-Delgado A, Wolińska-Cichocka M, Woods PJ, Yokoyama R. β-Delayed One and Two Neutron Emission Probabilities Southeast of ^{132}Sn and the Odd-Even Systematics in r-Process Nuclide Abundances. Phys Rev Lett 2022; 129:172701. [PMID: 36332266 DOI: 10.1103/physrevlett.129.172701] [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] [Received: 06/04/2022] [Revised: 07/30/2022] [Accepted: 08/25/2022] [Indexed: 06/16/2023]
Abstract
The β-delayed one- and two-neutron emission probabilities (P_{1n} and P_{2n}) of 20 neutron-rich nuclei with N≥82 have been measured at the RIBF facility of the RIKEN Nishina Center. P_{1n} of ^{130,131}Ag, ^{133,134}Cd, ^{135,136}In, and ^{138,139}Sn were determined for the first time, and stringent upper limits were placed on P_{2n} for nearly all cases. β-delayed two-neutron emission (β2n) was unambiguously identified in ^{133}Cd and ^{135,136}In, and their P_{2n} were measured. Weak β2n was also detected from ^{137,138}Sn. Our results highlight the effect of the N=82 and Z=50 shell closures on β-delayed neutron emission probability and provide stringent benchmarks for newly developed macroscopic-microscopic and self-consistent global models with the inclusion of a statistical treatment of neutron and γ emission. The impact of our measurements on r-process nucleosynthesis was studied in a neutron star merger scenario. Our P_{1n} and P_{2n} have a direct impact on the odd-even staggering of the final abundance, improving the agreement between calculated and observed Solar System abundances. The odd isotope fraction of Ba in r-process-enhanced (r-II) stars is also better reproduced using our new data.
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Affiliation(s)
- V H Phong
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
- University of Science, Vietnam National University, Hanoi 120062, Vietnam
| | - S Nishimura
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - G Lorusso
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
- National Physical Laboratory, Teddington TW11 0LW, United Kingdom
- Department of Physics, University of Surrey, Guildford GU2 7XH, United Kingdom
| | - T Davinson
- School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - A Estrade
- Department of Physics, Central Michigan University, Mount Pleasant, Michigan 48859, USA
| | - O Hall
- School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - T Kawano
- Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - J Liu
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
- Department of Physics, University of Hong Kong, Pokfulman Road, Hong Kong
| | - F Montes
- National Superconducting Cyclotron Laboratory, East Lansing, Michigan 48824, USA
| | - N Nishimura
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
- Astrophysical Big-Bang Laboratory, Cluster for Pioneering Research, RIKEN, Wako, Saitama 351-0198, Japan
| | - R Grzywacz
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA
| | - K P Rykaczewski
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - J Agramunt
- Instituto de Fsica Corpuscular, CSIC and Universitat de Valencia, E-46980 Paterna, Spain
| | - D S Ahn
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
- Center for Exotic Nuclear Studies, Institute for Basic Science, Daejeon 34126, Republic of Korea
| | - A Algora
- Instituto de Fsica Corpuscular, CSIC and Universitat de Valencia, E-46980 Paterna, Spain
| | - J M Allmond
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - H Baba
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - S Bae
- Center for Exotic Nuclear Studies, Institute for Basic Science, Daejeon 34126, Republic of Korea
| | - N T Brewer
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - C G Bruno
- School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | | | - F Calviño
- Universitat Politecnica de Catalunya, E-08028 Barcelona, Spain
| | - P J Coleman-Smith
- STFC Daresbury Laboratory, Daresbury, Warrington WA4 4AD, United Kingdom
| | - G Cortes
- Universitat Politecnica de Catalunya, E-08028 Barcelona, Spain
| | - I Dillmann
- TRIUMF, Vancouver, British Columbia V6T 2A3, Canada
- Department of Physics and Astronomy, University of Victoria, Victoria, British Columbia V8P 5C2, Canada
| | - C Domingo-Pardo
- Instituto de Fsica Corpuscular, CSIC and Universitat de Valencia, E-46980 Paterna, Spain
| | - A Fijalkowska
- Faculty of Physics, University of Warsaw, PL02-093 Warsaw, Poland
| | - N Fukuda
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - S Go
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - C J Griffin
- School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Ha
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
- Seoul National University, Department of Physics and Astronomy, Seoul 08826, Republic of Korea
| | - L J Harkness-Brennan
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | - T Isobe
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - D Kahl
- School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
- Extreme Light Infrastructure-Nuclear Physics, Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering (IFIN-HH), 077125 Bucharest-Măgurele, Romania
| | - L H Khiem
- Institute of Physics, Vietnam Academy of Science and Technology, Ba Dinh, 118011 Hanoi, Vietnam
- Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Cau Giay, 122102 Hanoi, Vietnam
| | - G G Kiss
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
- Institute for Nuclear Research (Atomki), Debrecen H4032, Hungary
| | - A Korgul
- Faculty of Physics, University of Warsaw, PL02-093 Warsaw, Poland
| | - S Kubono
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - M Labiche
- STFC Daresbury Laboratory, Daresbury, Warrington WA4 4AD, United Kingdom
| | - I Lazarus
- STFC Daresbury Laboratory, Daresbury, Warrington WA4 4AD, United Kingdom
| | - J Liang
- McMaster University, Department of Physics and Astronomy, Hamilton, Ontario L8S 4M1, Canada
| | - Z Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - K Matsui
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
- University of Tokyo, Department of Physics, Tokyo 113-0033, Japan
| | - K Miernik
- Faculty of Physics, University of Warsaw, PL02-093 Warsaw, Poland
| | - B Moon
- Center for Exotic Nuclear Studies, Institute for Basic Science, Daejeon 34126, Republic of Korea
| | - A I Morales
- Instituto de Fsica Corpuscular, CSIC and Universitat de Valencia, E-46980 Paterna, Spain
| | - P Morrall
- STFC Daresbury Laboratory, Daresbury, Warrington WA4 4AD, United Kingdom
| | - N Nepal
- Department of Physics, Central Michigan University, Mount Pleasant, Michigan 48859, USA
| | - R D Page
- Department of Physics, University of Liverpool, Liverpool L69 7ZE, United Kingdom
| | | | - V F E Pucknell
- STFC Daresbury Laboratory, Daresbury, Warrington WA4 4AD, United Kingdom
| | - B C Rasco
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - B Rubio
- Instituto de Fsica Corpuscular, CSIC and Universitat de Valencia, E-46980 Paterna, Spain
| | - H Sakurai
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
- University of Tokyo, Department of Physics, Tokyo 113-0033, Japan
| | - Y Shimizu
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - D W Stracener
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - T Sumikama
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - H Suzuki
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - J L Tain
- Instituto de Fsica Corpuscular, CSIC and Universitat de Valencia, E-46980 Paterna, Spain
| | - H Takeda
- RIKEN Nishina Center, Wako, Saitama 351-0198, Japan
| | - A Tarifeño-Saldivia
- Instituto de Fsica Corpuscular, CSIC and Universitat de Valencia, E-46980 Paterna, Spain
- Universitat Politecnica de Catalunya, E-08028 Barcelona, Spain
| | - A Tolosa-Delgado
- Instituto de Fsica Corpuscular, CSIC and Universitat de Valencia, E-46980 Paterna, Spain
| | - M Wolińska-Cichocka
- Heavy Ion Laboratory, University of Warsaw, Pasteura 5A, PL-02-093 Warsaw, Poland
| | - P J Woods
- School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - R Yokoyama
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee 37996, USA
- Center for Nuclear Study, University of Tokyo, RIKEN Campus, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
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112
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Liu WL, Zhang X, Nie SM, Liu ZT, Sun XY, Wang HY, Ding JY, Jiang Q, Sun L, Xue FH, Huang Z, Su H, Yang YC, Jiang ZC, Lu XL, Yuan J, Cho S, Liu JS, Liu ZH, Ye M, Zhang SL, Weng HM, Liu Z, Guo YF, Wang ZJ, Shen DW. Spontaneous Ferromagnetism Induced Topological Transition in EuB_{6}. Phys Rev Lett 2022; 129:166402. [PMID: 36306743 DOI: 10.1103/physrevlett.129.166402] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 08/09/2022] [Accepted: 09/12/2022] [Indexed: 06/16/2023]
Abstract
The interplay between various symmetries and electronic bands topology is one of the core issues for topological quantum materials. Spontaneous magnetism, which leads to the breaking of time-reversal symmetry, has been proven to be a powerful approach to trigger various exotic topological phases. In this Letter, utilizing the combination of angle-resolved photoemission spectroscopy, magneto-optical Kerr effect microscopy, and first-principles calculations, we present the direct evidence on the realization of the long-sought spontaneous ferromagnetism induced topological transition in soft ferromagnetic EuB_{6}. Explicitly, we reveal the topological transition is from Z_{2}=1 topological insulator in paramagnetic state to χ=1 magnetic topological semimetal in low temperature ferromagnetic state. Our results demonstrate that the simple band structure near the Fermi level and rich topological phases make EuB_{6} an ideal platform to study the topological phase physics.
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Affiliation(s)
- W L Liu
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - X Zhang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - S M Nie
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94305, USA
| | - Z T Liu
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - X Y Sun
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - H Y Wang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - J Y Ding
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Q Jiang
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - L Sun
- School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - F H Xue
- School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Z Huang
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - H Su
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Y C Yang
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Z C Jiang
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - X L Lu
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - J Yuan
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Soohyun Cho
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - J S Liu
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z H Liu
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - M Ye
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - S L Zhang
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - H M Weng
- Institute of Physics and Beijing National Laboratory for Condensed Matter Physics, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Y F Guo
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Z J Wang
- Institute of Physics and Beijing National Laboratory for Condensed Matter Physics, Chinese Academy of Sciences, Beijing 100190, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - D W Shen
- Center for Excellence in Superconducting Electronics, State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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113
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Wang XY, Li JR, Zhang JH, Wang JS, Liu Z, Zhang C. [Effect of gastroesophageal reflux disease on the clinical characteristics of patients with laryngopharyngeal reflux disease]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:1178-1184. [PMID: 36319122 DOI: 10.3760/cma.j.cn115330-20220525-00302] [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
Objective: To investigate the effect of gastroesophageal reflux disease (GERD) on the clinical characteristics of patients with laryngopharyngeal reflux disease(LPRD). Methods: The data of 141 patients with symptoms of LPRD, who were admitted to the Department of Pharyngology, Laryngology& Phonosurgery at the Sixth Medical Center of the PLA General Hospital from November 2020 to October 2021, were retrospectively analyzed.There were 118 males and 23 females, aged 28-75 (56.72±10.04) years old. The included patients underwent simultaneous 24-hour hypopharyngeal and esophageal multichannel intraluminal impedance pH monitoring (24h-HEMII-pH), salivary pepsin test at multiple times, Reflux Symptom Index (RSI), and Reflux Finding Score (RFS). One laryngopharyngeal reflux event on 24 h-HEMII-pH monitoring results was used as a diagnostic criterion for LPRD. And the duration of lower esophageal pH<4.0>4.0% at 24 h or DeMeester score>14.7 were used as diagnostic criteria for GERD. Among them, patients with both positive LPRD and GERD were classified as L&G group, patients with positive LPRD and negative GERD were classified as IL group, patients with negative LPRD and positive GERD were classified as IG group, and patients with both negative LPRD and GERD were classified as N group. The differences in the clinical characteristics of reflux and salivary pepsin assay in each group were statistically analyzed. SPSS 23.0 software was applied for statistical analysis. Results: According to the 24 h-HEMII-pH results, 116 (82.3%) patients were diagnosed with LPRD and 45 (31.9%) with GERD, including 82 (58.2%) in the IL group, 34 (24.1%) in the L&G group, 11 (7.8%) in the IG group, and 14 (9.9%) in the N group. Based on the salivary pepsin test, a total of 106 patients had positive results, and the L&G group had a significantly higher rate of positive total salivary pepsin test (94.1%) and positive morning test (70.6%) than the IL group (75.6%, 26.8%), IG group (63.6%, 27.3%) and N group (35.7%, 28.6%), with chi-square values of 19.01 and 20.81, both with P<0.001. The patients in the L&G group had a significantly higher RSI score (14.0) than the IL group (7.0), IG group (1.0) and N group (0), H=52.26,P<0.001. The difference in RFS between the L&G and IL groups was not statistically significant (Z=-0.92,P>0.05). Conclusion: Combined with GERD, LPRD patients have more obvious clinical symptoms and higher positive rate of pepsin test in saliva.
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Affiliation(s)
- X Y Wang
- Navy Clinical College, the Fifth School of Clinical Medicine, Anhui Medical University, Hefei 230032, China Department of Pharyngology, Laryngology & Phonosurgery, the Sixth Medical Center of PLA General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100048, China
| | - J R Li
- Navy Clinical College, the Fifth School of Clinical Medicine, Anhui Medical University, Hefei 230032, China Department of Pharyngology, Laryngology & Phonosurgery, the Sixth Medical Center of PLA General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100048, China
| | - J H Zhang
- Department of Pharyngology, Laryngology & Phonosurgery, the Sixth Medical Center of PLA General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100048, China
| | - J S Wang
- Department of Pharyngology, Laryngology & Phonosurgery, the Sixth Medical Center of PLA General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100048, China
| | - Z Liu
- Department of Pharyngology, Laryngology & Phonosurgery, the Sixth Medical Center of PLA General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100048, China
| | - C Zhang
- Department of Pharyngology, Laryngology & Phonosurgery, the Sixth Medical Center of PLA General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100048, China
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Abohashem S, Osborne M, Choi K, Liu Z, Zureigat H, Mezue K, Gharios C, Armstrong K, Smoller J, Tawakol A. Genetic sensitivity to stress modifies the relationship between socioeconomic status and major adverse cardiovascular events. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2265] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Lower socioeconomic status (SES) associates with major adverse cardiovascular events (MACE), in part through stress-related neural pathways that elicit inflammation. However, it is unknown whether genes that heighten stress sensitivity modify the association between lower SES and MACE.
Purpose
To assess whether genetic predisposition to stress sensitivity would modify the link between low SES and MACE
Methods
13,154 participants (median age 60 yrs, 41% male) from the Mass General Brigham Biobank were studied. A polygenic risk score for neuroticism (nPRS) was used as a measure of genetic predisposition to stress sensitivity (GSS). Using home addresses, SES was evaluated as median income and area deprivation index (ADI). Stress-related neural activity (SNA) was assessed (N=978) using validated FDG PET/CT imaging methods. MACE, and cardiovascular disease (CVD) risk factors were evaluated. Mediation analyses were employed.
Results
Over median (IQR) 4.9 (4.1–5.9) years of follow-up, 1,030 (7.8%) individuals had MACE. Lower SES (as low income, or alternatively as high ADI) associated with incident MACE among individuals with higher GSS (nPRS ≥ median) but not lower GSS (Fig. 1A and 1B). Similarly, lower SES associated with SNA among individuals with higher but not lower GSS (Fig. 1C). SNA mediated the relationship between income and MACE (P<0.05**) among those with higher GSS.
Conclusions
Genetic predisposition to stress sensitivity appears to heighten CVD risk associated with lower SES. This relationship may result from differential activation of stress-related neural pathways.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- S Abohashem
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
| | - M Osborne
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
| | - K Choi
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
| | - Z Liu
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
| | - H Zureigat
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
| | - K Mezue
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
| | - C Gharios
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
| | - K Armstrong
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
| | - J Smoller
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
| | - A Tawakol
- Massachusetts General Hospital - Harvard Medical School , Boston , United States of America
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Lian S, Lu C, Li F, Yu X, Wu B, Fang F, Liu Z, Ji M, Zheng Z. 20P Early detection and disease monitoring of hepatocellular carcinoma using circulating telomere DNA. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.09.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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116
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Liu Z, Fang F, Li J, Zhao G, Zang Q, Zhang F, Die J. [RHPN2 is highly expressed in osteosarcoma cells to promote cell proliferation and migration and inhibit apoptosis]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1367-1373. [PMID: 36210710 DOI: 10.12122/j.issn.1673-4254.2022.09.13] [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: 11/24/2022]
Abstract
OBJECTIVE To screen for aberrantly expressed genes in osteosarcoma cells and investigate the role of RHPN2 in regulating the proliferation, apoptosis, migration and tumorigenic abilities of osteosarcoma cells. METHODS We used GEO2R to analyze the differential gene expression profile between osteosarcoma cells and normal cells in the GSE70414 dataset. RTqPCR and Western blotting were performed to detect RHPN2 expression in osteosarcoma cell lines MG-63, 143B and SAOS2. Two RHPN2-shRNA and a control NC-shRNA were designed to silence the expression of RHPN2 in 143B cells, and CCK8 assay, colony-forming assay, annexin V-FITC/PI staining and scratch assays were carried out to examine the changes in proliferation, apoptosis and migration of the cells. We also established nude mouse models bearing osteosarcoma xenografts derived 143B cells and RHPN2-shRNA-transfected 143B cells, and assessed the effect of RHPN2 silencing on osteosarcoma cell tumorigenesis using HE staining. Kaplan-Meier survival curves were used to analyze the correlation between RHPN2 expression and survival outcomes of patients with osteosarcoma. RESULTS RHPN2 expression was significantly upregulated in osteosarcoma cell lines MG-63, 143B and SAOS2 (P < 0.01). Silencing of RHPN2 significantly inhibited the proliferation and migration of 143B cells in vitro, promoted cell apoptosis (P < 0.01), and suppressed tumorigenic capacity of the cells in nude mice. A high expression of RHPN2 was significantly correlated with a poor prognosis of patients with osteosarcoma (P < 0.05). CONCLUSION RHPN2 is highly expressed in osteosarcoma cells to promote cell proliferation and migration and inhibits cell apoptosis. A high expression of RHPN2 is associated with a poorer prognosis of the patients with osteosarcoma.
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Affiliation(s)
- Z Liu
- Orthopedic Hospital of Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an 710004, China
| | - F Fang
- Orthopedic Hospital of Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an 710004, China
| | - J Li
- Department of Orthopedics, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - G Zhao
- Orthopedic Hospital of Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an 710004, China
| | - Q Zang
- Department of Orthopedics, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - F Zhang
- Orthopedic Hospital of Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an 710004, China
| | - J Die
- Orthopedic Hospital of Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an 710004, China
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Wang YF, Ren Y, Zhu CF, Qian L, Yang Q, Deng WM, Zou LY, Liu Z, Luo DH. Optimising diffusion-weighted imaging of the thyroid gland using dedicated surface coil. Clin Radiol 2022; 77:e791-e798. [PMID: 36096939 DOI: 10.1016/j.crad.2022.07.011] [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] [Received: 01/29/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 11/03/2022]
Abstract
AIM To assess the feasibility of applying field-of-view (FOV) optimised and constrained undistorted single-shot (FOCUS) diffusion-weighted imaging (DWI) in the thyroid gland by comparing its image quality with conventional DWI (C-DWI) qualitatively and quantitatively using a dedicated surface coil exclusively designed for the thyroid gland at 3 T magnetic resonance imaging (MRI). MATERIALS AND METHODS In this prospective study, 32 healthy volunteers who had undergone 3 T the thyroid gland MRI with FOCUS-DWI and C-DWI were enrolled. Two independent reviewers assessed the overall image quality, artefacts, sharpness, and geometric distortion based on a five-point Likert scale. The signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) were quantified for both sequences. Interobserver agreement, qualitative scores, and quantitative parameters were compared between two sequences. RESULTS Agreement between the two readers was good for FOCUS-DWI (κ = 0.714-0.778) and moderate to good for C-DWI (κ = 0.525-0.672) in qualitative image quality assessment. Qualitatively, image quality (overall image quality, artefacts, sharpness, and geometric distortion) was significantly better in FOCUS-DWI than that in the C-DWI (all p<0.05); however, quantitatively, FOCUS-DWI had significantly lower SNRs (p<0.001) and CNRs (p=0.012) compared with C-DWI. The ADC value on FOCUS-DWI was significantly higher than that on C-DWI (p<0.001). CONCLUSION FOCUS-DWI depicted the thyroid gland with significantly better image quality qualitatively and less ghost artefacts, but had significantly lower SNR and CNR quantitatively, compared with C-DWI, suggesting that both DWI sequences have advantages and could be chosen for different purposes.
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Affiliation(s)
- Y F Wang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Y Ren
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - C F Zhu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - L Qian
- MR Research, GE Healthcare, Beijing, China
| | - Q Yang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - W M Deng
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - L Y Zou
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Z Liu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China.
| | - D H Luo
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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Zheng Y, Niu F, Jiang P, Zhu X, Lin J, Wu X, Qin L, Liu Z, Fang S, Jin C, Yu X, Zuo L. 1039P Efficacy and safety of surufatinib (HMPL-012) as a third-line or further treatment for advanced non-small cell lung cancer (NSCLC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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119
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Kopetz S, Ridinger M, Sorokin A, Kanikarla P, Gao F, Liu Z, Samuelsz E, Smeal T, Starr J, Sharma M. 366P The PLK1 inhibitor onvansertib overcomes irinotecan resistance in RAS-mutated (mRAS) metastatic colorectal cancer (mCRC) in vivo and in patients (pts). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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120
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Zhou C, Huang D, Fan Y, Yu X, Liu Y, Shu Y, Ma Z, Wang Z, Cheng Y, Wang J, Hu S, Liu Z, Poddubskaya E, Disel U, Akopov A, Dvorkin M, Wang Y, Li S, Yu C, Rivalland G. EP08.01-014 Tislelizumab versus Docetaxel in Previously Treated Advanced Non-Small Cell Lung Cancer: Final Analysis of RATIONALE-303. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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121
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Liu Z, Wang T, Wang J, Shi F, Su J, Zhang QY, Zhang J, Wang F. 616TiP Intra-tumor injection of H101 combined with or without radiotherapy in refractory/recurrent/metastatic gynecological malignancies: A prospective, open-label, multi-center, single-arm study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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122
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Lu S, Zhang Y, Zhang G, Zhou J, Cang S, Cheng Y, Wu G, Cao P, Lv D, Jian H, Chen C, Jin X, Tian P, Wang K, Jiang G, Chen G, Chen Q, Zhao H, Ding C, Guo R, Sun G, Wang B, Jiang L, Liu Z, Fang J, Yang J, Zhuang W, Liu Y, Zhang J, Pan Y, Chen J, Yu Q, Zhao M, Cui J, Li D, Yi T, Yu Z, Yang Y, Zhang Y, Zhi X, Huang Y, Wu R, Chen L, Zang A, Cao L, Li Q, Li X, Song Y, Wang D, Zhang S. EP08.02-139 A Phase 2 Study of Befotertinib in Patients with EGFR T790M Mutated NSCLC after Prior EGFR TKIs. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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123
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Zhao E, Sanz Garcia E, Liu Z, Marsh K, Abdul Razak A, Spreafico A, Bedard P, Hansen A, Lheureux S, Torti D, Lam B, Pugh T, Siu L. 1664MO Tumor-naïve methylomes and fragmentomes during pembrolizumab (P) in metastatic cancer patients. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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124
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Li H, Chen M, Xue C, Li L, Hu A, Yang W, Zheng Z, Ni M, Zhang L, Zeng Y, Peng J, Yao K, Zhou F, Liu Z, An X, Shi Y. 1744P Camrelizumab plus nab-paclitaxel in platinum-resistant patients with unresectable locally advanced or metastatic urothelial carcinoma: A multicentre, single-arm, phase II study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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125
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Ni P, Xu H, Liu Z, Zhang Z, Peng C, Wang X. Investigation on a high gravity device for reduction of NOx emission from marine diesel engines. Environ Sci Pollut Res Int 2022; 29:64721-64731. [PMID: 35474432 DOI: 10.1007/s11356-022-20272-4] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
High gravity technology, as a process intensification technology, has demonstrated the great advantages in the field of gas purification on account of its excellent mass transfer efficiency and energy-efficient, but it is rarely applied in the field of nitrogen oxides (NOx) purification of marine diesel engine exhaust. In this paper, a high-gravity bowl-shaped-disk rotating bed (HBRB) without catalytic was designed for diesel exhaust after-treatment. A diesel oxidation catalyst (DOC) was installed in the front of the HBRB to regenerate more nitrogen dioxide (NO2) easily reduced by urea. A bench test of a 6-cylinder marine diesel engine with the HBRB was carried out. The effects of the HBRB speeds, urea concentrations, and engine operating conditions on NOx purification efficiency in engine exhaust were experimentally investigated. The experimental result indicates that the maximum NOx removal efficiency of the HBRB can reach 69.1%. The improvement of the NOx removal efficiency is not obvious at the HBRB speed of over 1500 r/min. The pre-oxidation degree of nitric oxide (NO) and urea concentration largely affect the NOx removal efficiency. The HBRB has great potential in marine diesel engine exhaust denitration.
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Affiliation(s)
- Peiyong Ni
- School of Mechanical Engineering, Nantong University, Nantong, 226019, China
| | - Haiyan Xu
- School of Mechanical Engineering, Nantong University, Nantong, 226019, China
| | - Zhongfei Liu
- School of Mechanical Engineering, Nantong University, Nantong, 226019, China
| | - Ziheng Zhang
- School of Mechanical Engineering, Nantong University, Nantong, 226019, China
| | - Chaohua Peng
- School of Mechanical Engineering, Nantong University, Nantong, 226019, China
| | - Xiangli Wang
- School of Electrical Engineering, Nantong University, Nantong, 226019, China.
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Du R, Ming J, Geng J, Sui X, Li S, Liu Z, Zhu X, Cai Y, Wang Z, L. Tang, Zhang X, Peng Z, Yan Y, Li Z, Peng Y, Wu A, Li Y, Li Z, Wang W, Ji J. 1215P Neoadjuvant concurrent chemoradiotherapy combined with immunotherapy in the treatment of adenocarcinoma of the oesophagogastric junction: A phase II study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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127
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Liuru T, Pang D, Zhang J, Shao G, Li J, Liu Z, Sun Z. EP02.03-015 Fully Robotic Arm Robot Assisted Lung Surgery Exploration. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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128
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Wu YL, Zhou Q, Chen M, Pan Y, Jian O, Hu D, Lin Q, Wu G, Cui J, Chang J, Cheng Y, Huang C, Liu A, Yang N, Gong Y, Zhu C, Ma Z, Fang J, Chen G, Zhao J, Shi A, Lin Y, Li G, Liu Y, Wang D, Wu R, Xu X, Shi J, Liu Z, Wang J, Yang J. OA02.05 Sugemalimab vs Placebo after cCRT or sCRT in pts with Unresectable Stage III NSCLC: Final PFS Analysis of a Phase 3 Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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129
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Zhang K, Liu X, Tang Y, Liu Z, Yi Q, Wang L, Geng B, Xia Y. Fluid Shear Stress Promotes Osteoblast Proliferation and Suppresses Mitochondrial-Mediated Osteoblast Apoptosis Through the miR-214-3p-ATF4 Signaling Axis. Physiol Res 2022. [DOI: 10.33549/physiolres.934917] [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: 11/25/2022] Open
Abstract
MicroRNAs (miRNAs) play vital roles in bone metabolism and participate in the mechanically induced bone alterations. The underlying molecular mechanisms by which fluid shear stress (FSS) regulate the proliferative and apoptotic phenotypic changes of osteoblasts remain elusive. The study aimed to investigate the regulatory effects of FSS on osteoblast proliferative and apoptotic phenotypes and the roles of miR-214-3p-ATF4 (activating transcription factor 4) signaling axis in the mechanomodulation processes. FSS promoted the proliferative activity of osteoblasts and suppressed mitochondrial-mediated osteoblast apoptosis. FSS decreased miR-214-3p expression and increased ATF4 expression in MC3T3-E1 osteoblasts. MiR-214-3p inhibited osteoblast proliferative activity and promoted mitochondrial-mediated osteoblast apoptosis. Overexpression of miR-214-3p attenuated FSS-enhanced osteoblast proliferation and FSS-suppressed mitochondrial-mediated osteoblast apoptosis. We validated that ATF4 acted as a target gene of miR-214-3p. Moreover, miR-214 3p regulated osteoblast proliferation and apoptosis through targeting ATF4. Taken together, our study proved that FSS could suppress mitochondrial-mediated osteoblast apoptosis and promote osteoblast proliferation through the miR-214-3p-ATF4 signaling axis.
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Affiliation(s)
- K Zhang
- Department of Orthopaedics, Lanzhou University Second Hospital, Lanzhou Gansu, China, Orthopaedics Key Laboratory of Gansu Province, Lanzhou Gansu, China
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Abdallah MS, Aboona BE, Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Behera A, Bellwied R, Bhagat P, Bhasin A, Bielcik J, Bielcikova J, Bordyuzhin IG, Brandenburg JD, Brandin AV, Bunzarov I, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fawzi FM, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fu C, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Guryn W, Hamad AI, Hamed A, Han Y, Harabasz S, Harasty MD, Harris JW, Harrison H, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Humanic TJ, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kisel I, Kiselev A, Knospe AG, Ko HS, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li C, Li W, Li X, Li Y, Liang X, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu H, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Loyd E, Lukow NS, Luo XF, Ma L, Ma R, Ma YG, Magdy Abdelwahab Abdelrahman N, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mukherjee A, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Parfenov P, Pawlik B, Pawlowska D, Perkins C, Pinsky L, Pintér RL, Pluta J, Pokhrel BR, Ponimatkin G, Porter J, Posik M, Prozorova V, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Reed R, Ritter HG, Robotkova M, Rogachevskiy OV, Romero JL, Roy D, Ruan L, Rusnak J, Sahoo AK, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shao T, Sheikh AI, Shen DY, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Skoby MJ, Smirnov N, Söhngen Y, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Truhlar T, Trzeciak BA, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang X, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Wu J, Wu J, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Z, Xu Z, Yan G, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhou C, Zhou Y, Zhu X, Zurek M, Zyzak M. Evidence for Nonlinear Gluon Effects in QCD and Their Mass Number Dependence at STAR. Phys Rev Lett 2022; 129:092501. [PMID: 36083674 DOI: 10.1103/physrevlett.129.092501] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 07/12/2022] [Accepted: 07/29/2022] [Indexed: 06/15/2023]
Abstract
The STAR Collaboration reports measurements of back-to-back azimuthal correlations of di-π^{0}s produced at forward pseudorapidities (2.6<η<4.0) in p+p, p+Al, and p+Au collisions at a center-of-mass energy of 200 GeV. We observe a clear suppression of the correlated yields of back-to-back π^{0} pairs in p+Al and p+Au collisions compared to the p+p data. The observed suppression of back-to-back pairs as a function of transverse momentum suggests nonlinear gluon dynamics arising at high parton densities. The larger suppression found in p+Au relative to p+Al collisions exhibits a dependence of the saturation scale Q_{s}^{2} on the mass number A. A linear scaling of the suppression with A^{1/3} is observed with a slope of -0.09±0.01.
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Affiliation(s)
- M S Abdallah
- American University of Cairo, New Cairo 11835, New Cairo, Egypt
| | - B E Aboona
- Texas A&M University, College Station, Texas 77843
| | - J Adam
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- The Ohio State University, Columbus, Ohio 43210
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Aggarwal
- Panjab University, Chandigarh 160014, India
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
- National Research Nuclear University MEPhI, Moscow 115409
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - M U Ashraf
- Central China Normal University, Wuhan, Hubei 430079
| | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | | | - V Bairathi
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - W Baker
- University of California, Riverside, California 92521
| | | | - K Barish
- University of California, Riverside, California 92521
| | - A Behera
- State University of New York, Stony Brook, New York 11794
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - P Bhagat
- University of Jammu, Jammu 180001, India
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409
| | - I Bunzarov
- Joint Institute for Nuclear Research, Dubna 141 980
| | - X Z Cai
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - F-H Chang
- National Cheng Kung University, Tainan 70101
| | - Z Chang
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - A Chatterjee
- Central China Normal University, Wuhan, Hubei 430079
| | | | - D Chen
- University of California, Riverside, California 92521
| | - J Chen
- Shandong University, Qingdao, Shandong 266237
| | - J H Chen
- Fudan University, Shanghai, 200433
| | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Chevalier
- University of California, Riverside, California 92521
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Chu
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - M Csanád
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Dhamija
- Panjab University, Chandigarh 160014, India
| | - L Di Carlo
- Wayne State University, Detroit, Michigan 48201
| | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Dixit
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - F M Fawzi
- American University of Cairo, New Cairo 11835, New Cairo, Egypt
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Francisco
- Yale University, New Haven, Connecticut 06520
| | - C Fu
- Central China Normal University, Wuhan, Hubei 430079
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - T Galatyuk
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - N Ghimire
- Temple University, Philadelphia, Pennsylvania 19122
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - X Gou
- Shandong University, Qingdao, Shandong 266237
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- American University of Cairo, New Cairo 11835, New Cairo, Egypt
| | - Y Han
- Rice University, Houston, Texas 77251
| | - S Harabasz
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - M D Harasty
- University of California, Davis, California 95616
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - H Harrison
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S He
- Central China Normal University, Wuhan, Hubei 430079
| | - W He
- Fudan University, Shanghai, 200433
| | - X H He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y He
- Shandong University, Qingdao, Shandong 266237
| | - S Heppelmann
- University of California, Davis, California 95616
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - N Herrmann
- University of Heidelberg, Heidelberg 69120, Germany
| | - E Hoffman
- University of Houston, Houston, Texas 77204
| | - L Holub
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - Y Hu
- Fudan University, Shanghai, 200433
| | - H Huang
- National Cheng Kung University, Tainan 70101
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - T Huang
- National Cheng Kung University, Tainan 70101
| | - X Huang
- Tsinghua University, Beijing 100084
| | - Y Huang
- Tsinghua University, Beijing 100084
| | - T J Humanic
- The Ohio State University, Columbus, Ohio 43210
| | - G Igo
- University of California, Los Angeles, California 90095
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - A Jentsch
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Ji
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - M L Kabir
- University of California, Riverside, California 92521
| | - S Kagamaster
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - D Kalinkin
- Brookhaven National Laboratory, Upton, New York 11973
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980
| | - M Kelsey
- Wayne State University, Detroit, Michigan 48201
| | - Y V Khyzhniak
- National Research Nuclear University MEPhI, Moscow 115409
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521
| | - B Kimelman
- University of California, Davis, California 95616
| | - D Kincses
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973
| | - A G Knospe
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H S Ko
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409
| | - L K Kosarzewski
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Kramarik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409
| | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - S Kumar
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - S Lan
- Central China Normal University, Wuhan, Hubei 430079
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y H Leung
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - N Lewis
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Li
- Shandong University, Qingdao, Shandong 266237
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Li
- Rice University, Houston, Texas 77251
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - X Liang
- University of California, Riverside, California 92521
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - R Licenik
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - T Lin
- Shandong University, Qingdao, Shandong 266237
| | - Y Lin
- Central China Normal University, Wuhan, Hubei 430079
| | - M A Lisa
- The Ohio State University, Columbus, Ohio 43210
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - H Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - P Liu
- State University of New York, Stony Brook, New York 11794
| | - T Liu
- Yale University, New Haven, Connecticut 06520
| | - X Liu
- The Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- University of Science and Technology of China, Hefei, Anhui 230026
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - E Loyd
- University of California, Riverside, California 92521
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122
| | - X F Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - L Ma
- Fudan University, Shanghai, 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Fudan University, Shanghai, 200433
| | | | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - C Markert
- University of Texas, Austin, Texas 78712
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - N G Minaev
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | | | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- State University of New York, Stony Brook, New York 11794
| | - I Mooney
- Wayne State University, Detroit, Michigan 48201
| | - D A Morozov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Mukherjee
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - M Nagy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - Md Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - K Nayak
- Central China Normal University, Wuhan, Hubei 430079
| | - D Neff
- University of California, Los Angeles, California 90095
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shandong University, Qingdao, Shandong 266237
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - R Nishitani
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - A S Nunes
- Brookhaven National Laboratory, Upton, New York 11973
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Pan
- Texas A&M University, College Station, Texas 77843
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - A K Pandey
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | | | - P Parfenov
- National Research Nuclear University MEPhI, Moscow 115409
| | - B Pawlik
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - D Pawlowska
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Perkins
- University of California, Berkeley, California 94720
| | - L Pinsky
- University of Houston, Houston, Texas 77204
| | - R L Pintér
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - B R Pokhrel
- Temple University, Philadelphia, Pennsylvania 19122
| | - G Ponimatkin
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - V Prozorova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | - C Racz
- University of California, Riverside, California 92521
| | | | - N Raha
- Wayne State University, Detroit, Michigan 48201
| | - R L Ray
- University of Texas, Austin, Texas 78712
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Robotkova
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | | | - J L Romero
- University of California, Davis, California 95616
| | - D Roy
- Rutgers University, Piscataway, New Jersey 08854
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - A K Sahoo
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - N R Sahoo
- Shandong University, Qingdao, Shandong 266237
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
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- Yale University, New Haven, Connecticut 06520
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
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- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794
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- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - M Sergeeva
- University of California, Los Angeles, California 90095
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | - T Shao
- Fudan University, Shanghai, 200433
| | | | - D Y Shen
- Fudan University, Shanghai, 200433
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Shi
- Shandong University, Qingdao, Shandong 266237
| | - Q Y Shou
- Fudan University, Shanghai, 200433
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - M J Skoby
- Purdue University, West Lafayette, Indiana 47907
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - Y Söhngen
- University of Heidelberg, Heidelberg 69120, Germany
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - M Stefaniak
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - D J Stewart
- Yale University, New Haven, Connecticut 06520
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409
| | | | - A A P Suaide
- Universidade de São Paulo, São Paulo, Brazil 05314-970
| | - M Sumbera
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - X Sun
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | - Z W Sweger
- University of California, Davis, California 95616
| | - P Szymanski
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - D Tlusty
- Creighton University, Omaha, Nebraska 68178
| | - T Todoroki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | - S K Tripathy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - T Truhlar
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - B A Trzeciak
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - O D Tsai
- University of California, Los Angeles, California 90095
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
- Valparaiso University, Valparaiso, Indiana 46383
| | - I Upsal
- Rice University, Houston, Texas 77251
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Vanek
- Nuclear Physics Institute of the CAS, Rez 250 68, Czech Republic
| | - A N Vasiliev
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - I Vassiliev
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - V Verkest
- Wayne State University, Detroit, Michigan 48201
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - G Wang
- University of California, Los Angeles, California 90095
| | - J S Wang
- Huzhou University, Huzhou, Zhejiang 313000
| | - P Wang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Wang
- Shandong University, Qingdao, Shandong 266237
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - Z Wang
- Shandong University, Qingdao, Shandong 266237
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - J Wu
- Central China Normal University, Wuhan, Hubei 430079
| | - J Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Wu
- University of California, Riverside, California 92521
| | - B Xi
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - H Xu
- Huzhou University, Huzhou, Zhejiang 313000
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Xu
- University of California, Los Angeles, California 90095
| | - G Yan
- Shandong University, Qingdao, Shandong 266237
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- Rice University, Houston, Texas 77251
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Ye
- Rice University, Houston, Texas 77251
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Qingdao, Shandong 266237
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yu
- Shandong University, Qingdao, Shandong 266237
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Zhang
- State University of New York, Stony Brook, New York 11794
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - J Zhang
- Shandong University, Qingdao, Shandong 266237
| | - S Zhang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - S Zhang
- Fudan University, Shanghai, 200433
| | | | - Y Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101
| | - Z Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Zhang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhou
- Fudan University, Shanghai, 200433
| | - Y Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - M Zurek
- Argonne National Laboratory, Argonne, Illinois 60439
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Cheng J, Miao BF, Liu Z, Yang M, He K, Zeng YL, Niu H, Yang X, Wang ZQ, Hong XH, Fu SJ, Sun L, Liu Y, Wu YZ, Yuan Z, Ding HF. Coherent Picture on the Pure Spin Transport between Ag/Bi and Ferromagnets. Phys Rev Lett 2022; 129:097203. [PMID: 36083669 DOI: 10.1103/physrevlett.129.097203] [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] [Received: 01/25/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
In a joint effort of both experiments and first-principles calculations, we resolve a hotly debated controversy and provide a coherent picture on the pure spin transport between Ag/Bi and ferromagnets. We demonstrate a strong inverse Rashba-Edelstein effect (IREE) at the interface in between Ag/Bi with a ferromagnetic metal (FM) but not with a ferromagnetic insulator. This is in sharp contrast to the previously claimed IREE at Ag/Bi interface or inverse spin Hall effect dominated spin transport. A more than one order of magnitude modulation of IREE signal is realized for different Ag/Bi-FM interfaces, casting strong tunability and a new direction for searching efficient spintronics materials.
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Affiliation(s)
- J Cheng
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - B F Miao
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
| | - Z Liu
- Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing 100875, People's Republic of China
| | - M Yang
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - K He
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - Y L Zeng
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - H Niu
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - X Yang
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - Z Q Wang
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - X H Hong
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - S J Fu
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
| | - L Sun
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Liu
- Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Y Z Wu
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
- Department of Physics, Fudan University, 220 Handan Road, Shanghai 200433, People's Republic of China
| | - Z Yuan
- Center for Advanced Quantum Studies and Department of Physics, Beijing Normal University, Beijing 100875, People's Republic of China
| | - H F Ding
- National Laboratory of Solid State Microstructures and Department of Physics, Nanjing University, Nanjing 210093, People's Republic of China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, People's Republic of China
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132
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Criniti G, Kurnosov A, Glazyrin K, Husband R, Liu Z, Boffa Ballaran T, Frost D. Crystal structure and equation of state of Al-bearing bridgmanite at high pressure and high temperature. Acta Cryst Sect A 2022. [DOI: 10.1107/s2053273322091276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2023]
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133
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Liu Z, Zhou X. [A nomogram based on systemic inflammation markers can predict adverse outcomes in patients with heart failure]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1149-1158. [PMID: 36073213 DOI: 10.12122/j.issn.1673-4254.2022.08.06] [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: 11/24/2022]
Abstract
OBJECTIVE To construct a nomogram based on systemic inflammation markers for assessing the risk of adverse outcomes in patients with heart failure (HF). METHODS We retrospectively collected the clinical data from 430 patients with HF hospitalized in our hospital from June, 2017 to June, 2019.The patients were randomized into derivation group (n=286) and validation group (n=144) at a 7:3 ratio using R software.The risk factors for adverse prognosis of HF were screened using COX regression analysis to establish the nomogram.The predictive accuracy of the nomogram was assessed using calibration curves.Decision curve analysis (DCA) and Kaplan-Meier curves were used to evaluate the clinical utility of the nomogram. RESULTS The results of COX multivariate regression analysis showed that age (P=0.030), body mass index (BMI, P=0.002), New York Heart Association classification (NYHA, P < 0.001), hypertension (P=0.004), lymphocyte count (P < 0.001), platelet-to-lymphocyte ratio (PLR, P=0.007), neutrophil-to-lymphocyte ratio (NLR, P < 0.001) and system inflammation response index (SIRI, P < 0.001) were prognostic factors for HF patients.The nomogram was constructed using these prognostic factors.The C-indexes of the derivation and validation cohorts were 0.719(95%CI: 0.680-0.758) and 0.732(95%CI: 0.693-0.771), respectively.The calibration curves showed a good concordance of the nomogram for predicting adverse outcomes in patients with HF. CONCLUSION The nomogram constructed based on the systemic inflammation markers and the conventional risk factors can predict adverse outcomes (mortality and readmission) in patients with HF.
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Affiliation(s)
- Z Liu
- Department of Cardiology, First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - X Zhou
- Department of Cardiology, First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
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134
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McAlpine S, Culton D, Duplisea M, Liu Z, Googe P. 007 Immunohistochemical expression of immune regulatory proteins in interface dermatoses. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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135
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Wu X, Liu Z, Xu M, Xu S, Weng J. Rutaecarpine, a bioactive constituent isolated from tetradium ruticarpum, prevents endothelial inflammation. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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136
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Xu M, Wu X, Liu Z, Xu S, Weng J. A novel compound mouse model of diabetes, atherosclerosis and fatty liver using AAV8-PCSK9 injection in DB/DB mice. Atherosclerosis 2022. [DOI: 10.1016/j.atherosclerosis.2022.06.387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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137
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Ge J, Liu Z, Guan M, Kuang J, Xiao Y, Yang Y, Tsang CH, Lu X, Yang C. Investigation of the electrocatalytic mechanisms of urea oxidation reaction on the surface of transition metal oxides. J Colloid Interface Sci 2022; 620:442-453. [DOI: 10.1016/j.jcis.2022.03.152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 03/23/2022] [Accepted: 03/31/2022] [Indexed: 10/18/2022]
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138
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Jordan T, Chen J, Li N, Burette S, Culton D, Geng S, Googe P, Thomas N, Diaz L, Liu Z. 050 Eotaxin-1 and matrix metalloproteinase-9 are critical in anti-BP180 IgE-induced experimental bullous pemphigoid. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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139
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Li XL, Feng QM, Yang HN, Ruan JW, Kang YF, Yu ZE, Liu JX, Chen AN, Cui YH, Liu Z, Lu X. p120 regulates E-cadherin expression in nasal epithelial cells in chronic rhinosinusitis. Rhinology 2022; 60:270-281. [PMID: 35934314 DOI: 10.4193/rhin21.276] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND The epithelial barrier plays an important role in the regulation of immune homeostasis. The effect of the immune environment on E-cadherin has been demonstrated in previous studies. This discovery prompted new research on the targeting mechanism of E-cadherin in chronic rhinosinusitis (CRS). METHODS E-cadherin and p120 expression was determined by quantitative RT-PCR, and western blot. The interaction between E-cadherin and p120 was assessed by immunofluorescence staining and coimmunoprecipitation assays. Human nasal epithelial cells (HNECs) were cultured with submerged methods and transfected with p120-specific small interfering RNA. In other experiments, HNECs differentiated with the air-liquid interface (ALI) method were stimulated with various cytokines and Toll-like receptor (TLR) agonists. The barrier properties of differentiated HNECs were determined by assessing fluorescent dextran permeability. RESULTS E-cadherin and p120 expression was decreased in HNECs from patients with CRS, and the p120 protein expression level was positively correlated with that of E-cadherin. Two isoforms of p120 (p120-1 and p120-3) were expressed in HNECs, with p120-3 being the main isoform. Knocking down p120 in HNECs cultured under submerged conditions significantly reduced the E-cadherin protein expression. The Rac1 inhibitor NSC23766 reversed the protein expression of E-cadherin in p120 knockdown experiments. Inflammatory mediators, including IL-4, TNF-α, TGF- β, LPS and IFN-Î, reduced E-cadherin and p120 protein expression and increased paracellular permeability. Dexamethasone abolished the downregulation of E-cadherin and p120 caused by inflammatory mediators. CONCLUSIONS p120 is involved in regulating E-cadherin protein expression in CRS. Dexamethasone may alleviate the reduction in E-cadherin and p120 protein expression caused by inflammatory mediators.
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Affiliation(s)
- X-L Li
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Q-M Feng
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - H-N Yang
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - J-W Ruan
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Y-F Kang
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Z-E Yu
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - J-X Liu
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - A-N Chen
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Y-H Cui
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Z Liu
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - X Lu
- Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
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Li S, Liu Z. [Genetic characteristics and prognostic analysis of 162 fetal cardiac abnormalities]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:496-503. [PMID: 35902783 DOI: 10.3760/cma.j.cn112141-20220217-00101] [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: 06/15/2023]
Abstract
Objective: To analyze the type and characteristics of fetal cardiac abnormalities and their relationships with genetic abnormalities and clinical prognosis. Methods: The clinical data of 162 pregnant women with fetal cardiac abnormalities who came to the prenatal diagnosis center of Peking University First Hospital and performed genetic tests from February 2013 to February 2021 were reviewed. Genetic testing methods included chromosome karyotype analysis, array-based comparative genomic hybridization (aCGH) and pathogenic gene detection. Fetuses with isolated cardiac abnormalities and no fatal genetic abnormalities were assessed using the fetal cardiac birth defects clinical outcome score and followed up. Results: (1) Ultrasonography results: among the 162 fetuses, 86 cases (53.1%, 86/162) had isolated cardiac abnormalities, and 76 cases (46.9%, 76/162) had extra-cardiac abnormalities; single cardiac abnormalities were in 84 (51.9%,84/162) cases, and multiple cardiac abnormalities occurred in 78 cases (48.1%,78/162). (2) Genetic examination results: there were 39 cases (24.1%, 39/162) of pathogenic genetic abnormalities, including 35 cases (21.6%, 35/162) of pathogenic chromosome karyotype abnormality, 3 cases (1.9%, 3/162) of pathogenic copy number variant (CNV), and 1 case (0.6%, 1/162) of pathogenic gene variation. The detection rates of pathogenic genetic abnormalities were 16.3% (14/86) in fetuses with isolated cardiac abnormalities and 32.9% (25/76) in fetuses with cardiac abnormalities and extra-cardiac abnormalities, and the difference was statistically significant (χ2=6.094, P=0.014). The detection rate of genetic abnormalities was 28.6% (24/84) in the single cardiac abnormalities, among which ventricular septal defect was 36.7% (11/30), atrioventricular septal defect was 8/13, tetralogy of Fallot was 3/17, persistent trancus arteriosus was 1/1, cardiac tumor was 1/1; no genetic abnormality was detected in the other single cardiac abnormality types (22 cases in total). The main types of pathogenic genetic abnormalities were trisomy 21 (41.7%, 10/24) and trisomy 18 (41.7%, 10/24). (3) Pregnancy outcome and fetal prognosis: among 72 fetuses with isolated heart abnormalities without pathogenic genetic abnormalities, there were 4 cases of grade Ⅰ, all of which continued pregnancy; 39 cases of grade Ⅱ, with 21 cases induced labor, 18 cases continued pregnancy; 26 cases of grade Ⅲ, with 23 cases induced labor, 3 cases continued pregnancy; 3 cases of grade Ⅳ, all of which induced labor. Totally, there were 47 cases induced labor and 25 cases continued pregnancy, 24 cases (96.0%, 24/25) of which were alive. Conclusions: When fetal cardiac abnormalities are detected by prenatal ultrasound, comprehensive cardiac and extra-cardiac ultrasound assessment and further genetic testing are recommended. Fetuses excluded pathogenic genetic abnormalities and extra-cardiac abnormalities should perform clinical prognostic score evaluation through multidisciplinary collaboration, to improve maternal and fetal outcomes.
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Affiliation(s)
- S Li
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
| | - Z Liu
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
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Li TS, Liu Z, Yang HX, Hu YL. [Investigation and analysis of the implementation status of "Diagnosis and therapy guideline of preterm birth (2014)"]. Zhonghua Fu Chan Ke Za Zhi 2022; 57:449-455. [PMID: 35775253 DOI: 10.3760/cma.j.cn112141-20211203-00714] [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: 06/15/2023]
Abstract
Objective: To understand the actual situation of the implementation of "Diagnosis and therapy guideline of preterm birth(2014)", "Guideline" for short, by front-line obstetricians, and to provide reference for the further update and supplement of the "Guideline". Methods: This study designed a structured questionnaire for the prominent problems in the prevention and treatment of preterm birth, which was determined by the expert team drafting the "Guideline". In October to November 2021, a cross-sectional survey was conducted among obstetricians, including members of the Perinatal Medicine Branch of Jiangsu Medical Association and the Obstetrics Subgroup,Chinese society of Obstetrics and Gynecology, Chinese Medical Association, on the implementation status of the "Guideline". The recommendations of the "Guideline" were used as standard answers to determine the implementation rate. A total of 328 valid questionnaires were collected. The total score of the questionnaire was 12 points. The questionnaire was divided into low executive ability group (<7 points) and high executive ability group (≥7 points) with a score of 7 as the threshold value, and the differences in baseline information such as hospital grade and professional title between the two groups were compared. Results: The score of 328 obstetricians was (7.6±1.6) points, including 250 (76.2%, 250/328) in the high execution group and 78 (23.8%, 78/328) in the low execution group. The execution rates of "the use of uterine contraction inhibitors for short courses"[97.0% (318/328)], "late umbilical cord breakage after birth of premature infants"[87.8% (288/328)] and "should preterm patients with intact membranes be treated with antibiotics"[86.6% (284/328)] were all over 80%, indicating good implementation. Multiple logistic regression analysis showed that hospital grade and professional title were independent factors influencing the performance of the "Guideline"(all P<0.05), and secondary hospitals had lower scores and worse execution than tertiary hospitals (OR=0.42, 95%CI: 0.23-0.77; P=0.005). Senior titles had higher scores and better execution than junior titles (OR=5.33, 95%CI: 2.35-12.07; P<0.001). When answering the question "gestational week at which premature infants could survive in your hospital", only 3.4% (11/328) answered 22 weeks, and 44.5% (146/328) answered 28 weeks, accounted for the highest proportion. The gestational week of surviving premature infants in tertiary hospitals was earlier than that in secondary hospitals (P<0.05). The gestational week of surviving premature infants answered by senior titles was earlier than that of junior titles (P<0.05). Conclusions: Obstetricians generally have a good implementation of the "Guideline", and their understanding of some recommended clauses in the guidelines needs to be improved. In the future, training of primary hospitals and physicians with junior titles should be strengthened.
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Affiliation(s)
- T S Li
- Department of Medical Statistics and Analysis, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Z Liu
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
| | - H X Yang
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
| | - Y L Hu
- Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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Guo S, Ding B, Zhou XH, Wu YB, Wang JG, Xu SW, Fang YD, Petrache CM, Lawrie EA, Qiang YH, Yang YY, Ong HJ, Ma JB, Chen JL, Fang F, Yu YH, Lv BF, Zeng FF, Zeng QB, Huang H, Jia ZH, Jia CX, Liang W, Li Y, Huang NW, Liu LJ, Zheng Y, Zhang WQ, Rohilla A, Bai Z, Jin SL, Wang K, Duan FF, Yang G, Li JH, Xu JH, Li GS, Liu ML, Liu Z, Gan ZG, Wang M, Zhang YH. Probing ^{93m}Mo Isomer Depletion with an Isomer Beam. Phys Rev Lett 2022; 128:242502. [PMID: 35776479 DOI: 10.1103/physrevlett.128.242502] [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] [Received: 01/26/2022] [Revised: 04/01/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
The isomer depletion of ^{93m}Mo was recently reported [Chiara et al., Nature (London) 554, 216 (2018)NATUAS0028-083610.1038/nature25483] as the first direct observation of nuclear excitation by electron capture (NEEC). However, the measured excitation probability of 1.0(3)% is far beyond the theoretical expectation. In order to understand the inconsistency between theory and experiment, we produce the ^{93m}Mo nuclei using the ^{12}C(^{86}Kr,5n) reaction at a beam energy of 559 MeV and transport the reaction residues to a detection station far away from the target area employing a secondary beam line. The isomer depletion is expected to occur during the slowdown process of the ions in the stopping material. In such a low γ-ray background environment, the signature of isomer depletion is not observed, and an upper limit of 2×10^{-5} is estimated for the excitation probability. This is consistent with the theoretical expectation. Our findings shed doubt on the previously reported NEEC phenomenon and highlight the necessity and feasibility of further experimental investigations for reexamining the isomer depletion under low γ-ray background.
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Affiliation(s)
- S Guo
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - B Ding
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - X H Zhou
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Y B Wu
- Max-Planck-Institut für Kernphysik, Saupfercheckweg 1, D-69117 Heidelberg, Germany
| | - J G Wang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - S W Xu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Y D Fang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - C M Petrache
- University Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - E A Lawrie
- iThemba LABS, National Research Foundation, P.O. Box 722, 7131 Somerset West, South Africa
- Department of Physics and Astronomy, University of the Western Cape, P/B X17, Bellville ZA-7535, South Africa
| | - Y H Qiang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - Y Y Yang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - H J Ong
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
- Joint Department for Nuclear Physics, Lanzhou University and Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
- Research Center for Nuclear Physics, Osaka University, Osaka 567-0047, Japan
| | - J B Ma
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - J L Chen
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - F Fang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Y H Yu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - B F Lv
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - F F Zeng
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - Q B Zeng
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - H Huang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - Z H Jia
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - C X Jia
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - W Liang
- Hebei University, Baoding 071001, People's Republic of China
| | - Y Li
- Hebei University, Baoding 071001, People's Republic of China
| | - N W Huang
- Department of Physics, Huzhou University, Huzhou 313000, China
| | - L J Liu
- Department of Physics, Huzhou University, Huzhou 313000, China
| | - Y Zheng
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - W Q Zhang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - A Rohilla
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - Z Bai
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - S L Jin
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - K Wang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - F F Duan
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - G Yang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - J H Li
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - J H Xu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - G S Li
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - M L Liu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Z Liu
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Z G Gan
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - M Wang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
| | - Y H Zhang
- Key Laboratory of High Precision Nuclear Spectroscopy, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
- School of Nuclear Science and Technology, University of Chinese Academy of Science, Beijing 100049, People's Republic of China
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Fan X, Ding C, Liu Z. Comparison of the Utility of High-Resolution CT-DWI and T2WI-DWI Fusion Images for the Localization of Cholesteatoma. AJNR Am J Neuroradiol 2022; 43:1029-1035. [PMID: 35654492 DOI: 10.3174/ajnr.a7538] [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] [Received: 12/30/2021] [Accepted: 04/26/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Cholesteatoma is an aggressive disease that may lead to hearing impairment. This study aimed to compare the utility of high-resolution CT and TSE-DWI fusion images with that of T2WI and TSE-DWI fusion images in the localization of middle ear cholesteatoma. MATERIALS AND METHODS Seventy-one patients with middle ear cholesteatoma were retrospectively recruited. High-resolution CT, T2WI with fat suppression, and TSE-DWI scans were obtained, and image fusion was performed using a 3D reconstruction postprocessing workstation to form CT-DWI and T2WI-DWI fusion images. The quality of the 2 fused images was subjectively evaluated using a 5-point Likert scale with the horizontal semicircular canal transverse position as the reference. Receiver operating characteristic analysis was performed, and the diagnostic efficacies of CT-DWI and T2WI-DWI fusion images in localizing middle ear cholesteatoma were calculated. RESULTS The overall quality of T2WI-DWI fusion images was slightly higher than that of CT-DWI fusion images (P < .001), and the semicircular canal was slightly less clear on T2WI-DWI than on CT-DWI (P < .001). No statistical difference was found in the diagnostic confidence between them. In the localization of middle ear cholesteatoma, the accuracy, sensitivity, and specificity of T2WI-DWI fusion images and CT-DWI fusion images were equivalent for involvement of the attic, tympanic cavity, mastoid antrum, and mastoid process, with no statistically significant differences. CONCLUSIONS T2WI-DWI fusion images could replace CT-DWI in the preoperative selection of surgical options for middle ear cholesteatoma.
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Affiliation(s)
- X Fan
- From the Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - C Ding
- From the Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Z Liu
- From the Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
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Mohan P, Chang D, Deo S, Liu Z, Kaneku H, Jalaeian H, Dikici E, Zeynaloo E, Velazquez O, Bhatia S, Daunert S. Abstract No. 358 Liver regeneration following thermal ablation using targeted nanocarrier mediated stem cell therapy. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Qu W, Jiang Z, Liu Z, Zhu L, Chen X, Liu B, Zhao Y, Li S, Yan H, Qu X, Zang A, Sun Y, Zhou A. P-246 Real-world outcomes in metastatic colorectal patients receiving regorafenib treatment in China. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Ai L, Higashi M, Lee K, Liu Z, Jin L, Raja K, Mai Y, Jun T, Oh W, Beckmann A, Schadt E, Schadt Z, Wallsten R, Calay E, Kasarskis A, Pan Q, Schadt E, Wang X. AB0227 TREATMENT SEQUENCING PATTERNS AND COMPARATIVE EFFICACY IN PATIENTS WITH RHEUMATOID ARTHRITIS FROM A REAL-WORLD SETTING. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe European League Against Rheumatism (EULAR)1 recently provided updated guidelines regarding the initiation and modification of disease-modifying antirheumatic drug (DMARD) therapy in patients with Rheumatoid Arthritis (RA). Therefore, real-world evidence studies are warranted to provide insights into first-line DMARD utilization and durability of response in the second-line setting.ObjectivesTo analyze RA treatment patterns in real-world data and compare durability of response between second-line DMARDs + anti-TNF (TNFi) therapies vs. TNFi monotherapy.MethodsElectronic health records (EHRs) from a large health system in the Northeast US were used to identify RA patients. Lines of therapy were defined based on confirmed prescriptions for DMARDs and TNFi therapies. Time to next treatment (TTNT) was the primary outcome to estimate durability of response. Time-to-event analyses were performed using Kaplan-Meier and log-rank test methods. In addition, a Cox Proportional-Hazards (CoxPH) model was used to evaluate covariates as independent predictors of disease progression.ResultsOur study cohort consisted of 8,040 patients who had at least one line of therapy for RA. Conventional synthetic DMARDs (csDMARDs) were the predominant first line of therapy in this dataset (71.3%), followed by TNFi alone (11.1%) or TNFi combined with csDMARD (9.1%) (Figure 1).For patients who had csDMARD as their first line of therapy, 22.93% progressed to second line treatment. Among them 36.2% patients were TNFi with or without in combination with csDMARDs. In the second-line, TNFi + csDMARDs were associated with a longer TTNT (median time: 13.1 months vs 6.1 months, P < 0.005) compared to TNFi monotherapy. The multiple variable CoxPH model (adjusted for age, gender, and race) demonstrated that second-line TNFi + csDMARDs had a lower hazard rate when compared to TNFi monotherapy (HR = 0.74, 95% CI: 0.36 - 1.12, p < 0.005).ConclusionWe demonstrated the first comprehensive treatment sequencing patterns in RA from a real-world setting. As a second-line therapy for patients with inadequate response to csDMARDS, the TNFi + csDMARDs combination may improve duration of response when compared to TNFi monotherapy. Results from this study will inform future sequencing strategies to improve patient outcomes.References[1]Smolen, Josef S., Robert B. M. Landewé, Johannes W. J. Bijlsma, Gerd R. Burmester, Maxime Dougados, Andreas Kerschbaumer, Iain B. McInnes, et al. 2020. “EULAR Recommendations for the Management of Rheumatoid Arthritis with Synthetic and Biological Disease-Modifying Antirheumatic Drugs: 2019 Update.” Annals of the Rheumatic Diseases 79 (6): 685–99.Disclosure of InterestsLei Ai: None declared, Mitchell Higashi: None declared, Kyeryoung Lee: None declared, Zongzhi Liu: None declared, Lan Jin: None declared, Kalpana Raja: None declared, Yun Mai: None declared, Tomi Jun: None declared, William Oh Consultant of: JanssenPfizer, Aviva Beckmann: None declared, Emilio Schadt: None declared, Zachary Schadt: None declared, Rick Wallsten: None declared, Ediz Calay: None declared, Andrew Kasarskis: None declared, Qi Pan: None declared, Eric Schadt Speakers bureau: Eli Lilly, Consultant of: SAB of Eli LillyCelgene, Xiaoyan Wang: None declared
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Xu J, Kong F, Cui S, Liu K, Liu Z, Wang J, Zheng W, Zhou Y, Xu R. PB2199: A REAL WORLD STUDY OF PEG-RHG-CSF ON HEMATOPOIETIC RECOVERY AFTER ALLOGENEIC HEMATOPOIETIC STEM CELL TRANSPLANTATION. Hemasphere 2022. [PMCID: PMC9431637 DOI: 10.1097/01.hs9.0000851624.93969.ee] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Wen T, Su C, Cheng X, Wang Y, Ma T, Bai Z, Zhang H, Liu Z. Circulating myeloid-derived suppressors cells correlate with clinicopathological characteristics and outcomes undergoing neoadjuvant chemoimmunotherapy in non-small cell lung cancer. Clin Transl Oncol 2022; 24:1184-1194. [PMID: 34988921 DOI: 10.1007/s12094-021-02765-9] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/21/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE Myeloid-derived suppressors cells (MDSCs) are heterogeneous immunosuppressive cells, closely related to the development, efficacy and prognosis in various tumors. The relationship between clinicopathological characteristics, efficacy of neoadjuvant chemoimmunotherapy (NCIO) and circulating MDSCs in patients with non-small cell lung cancer (NSCLC) was investigated in this study. METHODS This study analyzed the clinical data of patients diagnosed at Department of Thoracic Surgery, Beijing Chest Hospital from November 2020 to August 2021. MDSCs and T cells subgroups were measured in fresh peripheral blood mononuclear cells(PBMCs) at baseline. Flow cytometry was used to detect MDSCs and T cells subgroups. RESULTS A total of 78 patients with NSCLC and 20 patients with benign nodule underwent direct surgery. 23 patients with NSCLC scheduled to accept NCIO before surgery. NSCLC had elevated levels of total MDSCs, PMN-MDSCs and M-MDSCs compared to patients with benign nodule. MDSCs subgroups were correlated to the pTNM stage in NSCLC patients. The frequency of total MDSCs were moderately positively correlated with regulatory T cells (Tregs)(r = 0.3597, P < 0.01) and negatively correlated with CD4 + T cells(r = 0.2714, P < 0.05). The baseline levels of total MDSCs, PMN-MDSCs and Tregs in pCR patients were significantly decreased than those of non-pCR patients (P < 0.05). CONCLUSION Circulating MDSCs were increased in NSCLC patients. MDSC subgroups were related to pTNM stage in NSCLC patients. Total MDSCs were positively correlated with Tregs levels and negatively correlated with CD4 + T cells in peripheral blood. The level of MDSCs and Tregs in peripheral blood may have potential value in predicting pathological response in NSCLC.
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Affiliation(s)
- T Wen
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - C Su
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - X Cheng
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Y Wang
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - T Ma
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Z Bai
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - H Zhang
- Department of Central Laboratory, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Z Liu
- No. 2 Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, China.
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Zhang X, Bao HD, Shu SB, Liu Z, Qiu Y, Zhu ZZ. [Impact of C 2-femoral heads center and sacroiliac fixation on the occurrence of post-operative proximal junctional kyphosis in adults with spinal deformity]. Zhonghua Yi Xue Za Zhi 2022; 102:1458-1463. [PMID: 35599411 DOI: 10.3760/cma.j.cn112137-20211221-02841] [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: 06/15/2023]
Abstract
Objective: To analyze the relationship between post-operative proximal junctional kyphosis (PJK) and C2-femoral heads center (C2-FH), pelvic fixation in adult spinal deformity (ASD) patients, so as to provide a reference for the preoperative decision-making and the postoperative intervention timely. Methods: It was a retrospective study that analyzed 34 cases of ASD patients who underwent posterior pedicle screw fixation in Nanjing Drum Tower Hospital between January 2017 and May 2017. ASD patients were divided into two groups according to fixation options: the sacroiliac fixation group and the non-sacroiliac fixation group. The spine-pelvis parameters were evaluated on full-length X ray films of spine at preoperatively, 2 weeks postoperatively and the last follow-up, and the incidence of PJK was recorded. Results: A total of 34 ASD patients (3 males and 31 females) were included in this study, with an average age of (58±6) years. The mean follow-up period was (2.9±1.0) years (2.0-4.0 years). The age, follow-up time and various spine-pelvis parameters showed no significant differences between the two groups (all P>0.05). The immediate postoperative C2-FH in the sacroiliac fixation group was significantly lower than that in the non-sacroiliac fixation group [(-69.46±30.85) mm vs (-31.62±15.31) mm, P<0.001]. The incidence of PJK was as high as 50.0% (8/16) in patients with sacroiliac fixation, but it was only 22% (4/18) in patients without sacroiliac fixation (P=0.016). At the last follow-up, the C2-FH of both groups were both higher than -20 mm (both were approximately -15 mm, P=0.976), indicating that the C2-FH was compensated in both groups. Due to the loss of the distal compensation ability, the incidence of PJK in the sacroiliac fixation group was higher than that in the non-sacroiliac fixation group. Due to the fixation of pelvis and most of lumbar spine, no significant differences were found in lumbar lordosis (LL), pelvic tilt (PT) and sacral slope (SS) at the last follow-up in both groups when compared with those after the operation (all P>0.05); while the thoracic kyphosis (TK) and cervical lordosis (CL) increased significantly (both P<0.05) to compensate C2-FH at the last follow-up. Conclusion: It's demonstrated that C2-FH< -2 cm and pelvic fixation are high risk factors of PJK in ASD patients. It is suggested that both global sagittal balance and pelvic fixation should be considered in decision-making and corrective surgery, rather than only focusing on spine-pelvic parameters.
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Affiliation(s)
- X Zhang
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - H D Bao
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - S B Shu
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Z Liu
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Y Qiu
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Z Z Zhu
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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Cheng AQ, Liu Z, Zhao L, Zhou XM, Cui ZY, Qin R, Li JX, Wei XW, Xiao D, Wang C. [Effect evaluation of "Smoking cessation: Doctor first"program in China]. Zhonghua Yi Xue Za Zhi 2022; 102:94-99. [PMID: 35701086 DOI: 10.3760/cma.j.cn112137-20211119-02582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To evaluate the effect of "Smoking cessation: Doctor first" program on smoking medical staff. Methods: From December 2016 to September 2019, 1 747 smoking medical staff from 54 units of China Tobacco Cessation Alliance were enrolled into"Smoking cessation: Doctor first"program. Demographic characteristics, smoking characteristics, degree of tobacco dependence, willingness to quit smoking and other related factors were collected during the baseline survey. Multivariate logistic regression model was used to analyze the related factors of willingness to quit. The subjects were given intensive smoking cessation intervention from October 2017 to September 2019, including education on the hazards of smoking, methods of smoking cessation and giving smoking cessation drugs. After intervention, the subjects were investigated about their smoking cessation progress and the effect of the project was evaluated. Results: The subjects were (41±11) years old, 91.9% (1 609/1 747) were male and 62.2% (1 086/1 747) were daily smokers. The main reasons for smoking included the influence of friends [697 (39.9%)], the need for social entertainment [629 (36.0%)], the relief of mental stress [589 (33.7%)] and the refreshment [459 (26.3%)]. At baseline, 52.9% (885/1 672) and 43.2% (755/1 747) smokers had intention to quit smoking and had planned to quit within one year, respectively. Multivariate logistic regression model analysis showed that: low education level [OR (95%CI) of high school and junior high school and below were 2.42 (1.61, 3.63) and 1.57 (1.18, 2.11)], daily smoking [OR (95%CI): 1.38 (1.06, 1.78)], thinking quitting smoking is not important [OR (95%CI): 4.15 (3.33, 5.18)] and having no quitting experience [OR (95%CI): 3.21 (2.53, 4.05)] were associated with no intention to quit smoking. After intensive smoking cessation intervention, 81.0% (1 415/1 747) smokers started to quit and 36.6% (518/1 415) quit smoking with drugs, both higher than the baseline level (all P values<0.001). By the end of the program, 60.2% (852/1 415) of the medical staff had quit smoking successfully. Conclusion: "Smoking cessation: Doctor first"program can improve the willingness to quit and the proportion of using smoking cessation drugs of medical staff.
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Affiliation(s)
- A Q Cheng
- Department of Tobacco Control and Prevention of Respiratory Diseases, China-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/National Center for Respiratory Medicine/National Clinical Research Center for Respiratory Diseases/Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
| | - Z Liu
- Department of Tobacco Control and Prevention of Respiratory Diseases, China-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/National Center for Respiratory Medicine/National Clinical Research Center for Respiratory Diseases/Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
| | - L Zhao
- Department of Tobacco Control and Prevention of Respiratory Diseases, China-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/National Center for Respiratory Medicine/National Clinical Research Center for Respiratory Diseases/Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
| | - X M Zhou
- Department of Tobacco Control and Prevention of Respiratory Diseases, China-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/National Center for Respiratory Medicine/National Clinical Research Center for Respiratory Diseases/Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
| | - Z Y Cui
- Graduate School of Peking Union Medical College/Chinese Academy of Medical Sciences, Beijing 100730, China
| | - R Qin
- Graduate School of Peking Union Medical College/Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J X Li
- China-Japan Friendship School of Clinical Medicine, Graduate School of Capital Medical University, Beijing 100029, China
| | - X W Wei
- China-Japan Friendship School of Clinical Medicine, Graduate School of Capital Medical University, Beijing 100029, China
| | - D Xiao
- Department of Tobacco Control and Prevention of Respiratory Diseases, China-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/National Center for Respiratory Medicine/National Clinical Research Center for Respiratory Diseases/Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
| | - Chen Wang
- Department of Tobacco Control and Prevention of Respiratory Diseases, China-Japan Friendship Hospital/WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention/National Center for Respiratory Medicine/National Clinical Research Center for Respiratory Diseases/Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing 100029, China
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