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Lou Y, Wang Y, Li S, Yu F, Liu X, Cong Y, Li Z, Jin F, Zhang M, Yao Z, Wang J. Different responses of marine microalgae Phaeodactylum tricornutum upon exposures to WAF and CEWAF of crude oil: A case study coupled with stable isotopic signatures. J Hazard Mater 2024; 468:133833. [PMID: 38401215 DOI: 10.1016/j.jhazmat.2024.133833] [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: 11/18/2023] [Revised: 02/16/2024] [Accepted: 02/17/2024] [Indexed: 02/26/2024]
Abstract
Increasing use of chemical dispersants for oil spills highlights the need to understand their adverse effects on marine microalgae and nutrient assimilation because the toxic components of crude oil can be more bioavailable. We employed the crude oil water-accommodated fraction (WAF) and chemically enhanced WAF (CEWAF) to compare different responses in marine microalgae (Phaeodactylum tricornutum) coupled with stable isotopic signatures. The concentration and proportion of high-molecular-weight polycyclic aromatic hydrocarbons (HMW PAHs), which are key toxic components in crude oil, increased after dispersant addition. CEWAF exposure caused higher percent growth inhibition and a lower chlorophyll-a level of microalgae than those after WAF exposure. Compared with WAF exposure, CEWAF led to an enhancement in the self-defense mechanism of P. tricornutum, accompanied by an increased content of extracellular polymeric substances. 13C-depletion and carbon assimilation were altered in P. tricornutum, suggesting more HMW PAHs could be utilized as carbon sources by microalgae under CEWAF. CEWAF had no significant effects on the isotopic fractionation or assimilation of nitrogen in P. tricornutum. Our study unveiled the impact on the growth, physiological response, and nutrient assimilation of microalgae upon WAF and CEWAF exposures. Our data provide new insights into the ecological effects of dispersant applications for coastal oil spills.
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Affiliation(s)
- Yadi Lou
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Ying Wang
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China.
| | - Shiyue Li
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China; College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Fuwei Yu
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China; School of Chemical, Dalian University of Technology, Dalian 116024, China
| | - Xing Liu
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Yi Cong
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Zhaochuan Li
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Fei Jin
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Mingxing Zhang
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Ziwei Yao
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Juying Wang
- Key Laboratory for Ecological Environment in Coastal Areas (Ministry of Ecology and Environment), Marine Debris and Microplastic Research Center, Department of Marine Chemistry, National Marine Environmental Monitoring Center, Dalian 116023, China
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2
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Nygård K, McDonald SA, González JB, Haghighat V, Appel C, Larsson E, Ghanbari R, Viljanen M, Silva J, Malki S, Li Y, Silva V, Weninger C, Engelmann F, Jeppsson T, Felcsuti G, Rosén T, Gordeyeva K, Söderberg L, Dierks H, Zhang Y, Yao Z, Yang R, Asimakopoulou EM, Rogalinski J, Wallentin J, Villanueva-Perez P, Krüger R, Dreier T, Bech M, Liebi M, Bek M, Kádár R, Terry AE, Tarawneh H, Ilinski P, Malmqvist J, Cerenius Y. ForMAX - a beamline for multiscale and multimodal structural characterization of hierarchical materials. J Synchrotron Radiat 2024; 31:363-377. [PMID: 38386565 PMCID: PMC10914163 DOI: 10.1107/s1600577524001048] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/30/2024] [Indexed: 02/24/2024]
Abstract
The ForMAX beamline at the MAX IV Laboratory provides multiscale and multimodal structural characterization of hierarchical materials in the nanometre to millimetre range by combining small- and wide-angle X-ray scattering with full-field microtomography. The modular design of the beamline is optimized for easy switching between different experimental modalities. The beamline has a special focus on the development of novel fibrous materials from forest resources, but it is also well suited for studies within, for example, food science and biomedical research.
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Affiliation(s)
- K. Nygård
- MAX IV Laboratory, Lund University, Lund, Sweden
| | | | | | - V. Haghighat
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - C. Appel
- MAX IV Laboratory, Lund University, Lund, Sweden
- Paul Scherrer Institut, Villigen PSI, Switzerland
| | - E. Larsson
- MAX IV Laboratory, Lund University, Lund, Sweden
- Division of Solid Mechanics, Lund University, Lund, Sweden
| | - R. Ghanbari
- MAX IV Laboratory, Lund University, Lund, Sweden
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden
| | - M. Viljanen
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - J. Silva
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - S. Malki
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - Y. Li
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - V. Silva
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - C. Weninger
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - F. Engelmann
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - T. Jeppsson
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - G. Felcsuti
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - T. Rosén
- Department of Fibre and Polymer Technology, Royal Institute of Technology, Stockholm, Sweden
- Wallenberg Wood Science Center (WWSC), Royal Institute of Technology, Stockholm, Sweden
| | - K. Gordeyeva
- Department of Fibre and Polymer Technology, Royal Institute of Technology, Stockholm, Sweden
| | - L. D. Söderberg
- Department of Fibre and Polymer Technology, Royal Institute of Technology, Stockholm, Sweden
- Wallenberg Wood Science Center (WWSC), Royal Institute of Technology, Stockholm, Sweden
| | - H. Dierks
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | - Y. Zhang
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | - Z. Yao
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | - R. Yang
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | | | | | - J. Wallentin
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | | | - R. Krüger
- Medical Radiation Physics, Lund University, Lund, Sweden
| | - T. Dreier
- Medical Radiation Physics, Lund University, Lund, Sweden
- Excillum AB, Kista, Sweden
| | - M. Bech
- Medical Radiation Physics, Lund University, Lund, Sweden
| | - M. Liebi
- Paul Scherrer Institut, Villigen PSI, Switzerland
- Institute of Materials, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Department of Physics, Chalmers University of Technology, Gothenburg, Sweden
| | - M. Bek
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden
- FibRe-Centre for Lignocellulose-based Thermoplastics, Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - R. Kádár
- MAX IV Laboratory, Lund University, Lund, Sweden
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden
- FibRe-Centre for Lignocellulose-based Thermoplastics, Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Wallenberg Wood Science Center (WWSC), Chalmers University of Technology, Gothenburg, Sweden
| | - A. E. Terry
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - H. Tarawneh
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - P. Ilinski
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - J. Malmqvist
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - Y. Cerenius
- MAX IV Laboratory, Lund University, Lund, Sweden
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Li D, Luo X, Shao P, Meng Z, Yao Z, Yang L, Shao J, Dong H, Zhang L, Zeng L, Luo X. Tuning electronic structure of the carbon skeleton to accelerate electron transfer for promoting the capture of gold. Environ Int 2023; 180:108192. [PMID: 37741004 DOI: 10.1016/j.envint.2023.108192] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/29/2023] [Accepted: 09/05/2023] [Indexed: 09/25/2023]
Abstract
The efficient and selective recovery of gold from secondary sources is key to sustainable development. However, the complexity of the recovery environment can significantly complicate the compositions of utilized sorbents. Here, we report a straw-derived mesoporous carbon as an inexpensive support material. This mesoporous carbon is modified by anions (sulfur modulation, C-S-180) to improve its electron-transfer efficiency and tune the electronic structure of its skeleton toward enhanced gold reduction. The high surface area of C-S-180 (989.4 m2/g), as well as the presence of abundant C-S in the porous structure of the adsorbent, resulted in an outstanding Au3+-uptake capacity (3422.75 mg/g), excellent resistance to interference, and favorable Au3+ selectivity. Dissimilar to most existing carbon-based adsorbents, electrochemistry-based studies on the electron-transfer efficiencies of adsorbents reveal that sulfur modulation is crucial to optimizing their adsorption performances. Furthermore, the density functional theory reveals that the optimization mechanism is attributable to the adjustment of the electronic structure of the carbon skeleton by C-S, which optimizes the band-gap energy for enhanced Au3+ reduction. These findings offer a strategy for constructing green and efficient adsorbents, as well as a basis for extending the applications of inexpensive carbon materials in gold recovery from complex environments.
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Affiliation(s)
- Dewei Li
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Xianxin Luo
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Penghui Shao
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China.
| | - Zhu Meng
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Ziwei Yao
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Liming Yang
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Jiachuang Shao
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Hao Dong
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Li Zhang
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Lingrong Zeng
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Xubiao Luo
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China; College of Life Sciences, Jinggangshan University, Jian 343009, PR China.
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4
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Zhao S, Liu X, Wu Z, Lin T, Sun H, Wang W, Guo Z, Yao Z. Investigating the presence of organophosphate esters in sediments from a typical fishing port agglomeration in Dalian, North China. Environ Pollut 2023; 334:122233. [PMID: 37481025 DOI: 10.1016/j.envpol.2023.122233] [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: 05/04/2023] [Revised: 07/17/2023] [Accepted: 07/19/2023] [Indexed: 07/24/2023]
Abstract
The presence of 14 organophosphate esters (OPEs) in surface sediments from a typical fishing port agglomeration in Dalian, North China was investigated for the first time. Tris(2-ethylhexyl) phosphate (TEHP), triphenylphosphine oxide (TPPO), and tris(2-chloroethyl) phosphate (TCEP) dominated 12 detectable OPEs (∑OPEs), with concentrations ranging widely from 0.56 to 352 ng/g (dry weight basis). The ∑OPE levels in sediments varied significantly across fishing harbors of various grades, and within the same grade, highlighting uneven distribution of OPE sources and inputs to harbors. The first- and second-class fishing harbors had higher geometric mean of ∑OPE contents compared to center and natural harbors, reflecting higher OPE pollution in these areas. Although there were significant correlations among the OPE congeners with high detection frequencies, the composition patterns of sediment OPEs varied considerably among fishing ports. The sediments in the center and first-class harbors had higher abundance of non-chlorinated OPEs (non-Cl-OPEs), suggesting heterogeneity in source strength and pollution characteristics of Cl- and non-Cl-OPEs in fishing ports. The distribution of OPEs in sediments was weakly associated with sediment organic carbon, but not socioeconomic variables, indicating complex controlling factors of their distributions in port sediments. The ecological risks of sediment OPEs were evaluated, and while OPE accumulations ranged broadly (7-684 ng/cm2), exposure hazards were negligible. The sediments in first- and second-class fishing harbors, which had greater OPE accumulation, were identified as reservoirs of OPEs in port aquatic environments.
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Affiliation(s)
- Shilan Zhao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Xing Liu
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Zilan Wu
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China.
| | - Tian Lin
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
| | - Hao Sun
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Wenwen Wang
- Agilent Technologies (China) Co. Ltd., Beijing, 100102, China
| | - Zhigang Guo
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Institute of Atmospheric Sciences, Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Ziwei Yao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
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5
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Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Zhang X, Yu Y, Zhou L, Na F, Li Y, Xu Y, Liu Y, Zou B, Peng F, Wang J, Zhong R, Gong Y, Huang M, Bai S, Xue J, Yan D, Lu Y. Hybrid Immuno-RT for Bulky Tumors: Standard Fractionation with Partial Tumor SBRT. Int J Radiat Oncol Biol Phys 2023; 117:S166. [PMID: 37784416 DOI: 10.1016/j.ijrobp.2023.06.264] [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: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Bulky tumors remain challenging to be treated. Stereotactic body radiation therapy (SBRT) is effective against radioresistant tumor cells and can induce immunogenic cell death (ICD) that leads to T-cell-mediated antitumor effects. Low-dose radiation (LDRT) can inflame the tumor microenvironment (TME) by recruiting T cells. We designed a novel radiotherapy technique (RT, ERT) whose dose distribution map resembles the "eclipse" by concurrently delivering LDRT to the whole tumor, meanwhile SBRT to only a part of the same tumor. This study examined the safety and efficacy of ERT to bulky lesions with PD-1 inhibitors in mice and patients. MATERIALS/METHODS In mice with CT26 colon or LLC1 lung bulky tumors (400 - 500 cm3), the whole tumor was irradiated by LDRT (2 Gy x 3), meanwhile the tumor center was irradiated by SBRT (10 Gy x 3); αPD-1 was given weekly. The dependence of therapeutic effects on CD8+ T cells was determined using depleting antibodies. Frequencies of CD8+ T cells and M1 macrophages (Mφ) were determined by flow cytometry. Multiplex Immunohistochemistry (mIHC) was applied to analyze the number and the location of CD8+ T cells and their subpopulations, as well as the phospho-eIF2α level (the ICD marker) of tumor cells in TME. Patients with advanced lung or liver bulky tumors who failed standard treatment or with oncologic emergencies were treated. Kaplan-Meier method was applied to estimate patients' progression-free survival (PFS) and overall survival (OS). RESULTS ERT/αPD-1 is superior to SBRT/αPD-1 or LDRT/αPD-1 in controlling bulky tumors in both mouse models in a CD8+ T-cell dependent manner. In the CT26 model, ERT/αPD-1 resulted in complete tumor regression in 3/11 mice and induced more CD8+ T cells and M1 Mφ in TME compared to other groups. mIHC analysis showed that ERT/αPD-1 induced higher bulk, stem-like (TCF1+ TIM3- PD-1+), and more differentiated (TCF1- TIM3+ PD-1+) CD8+ T cells infiltration into the tumor center and periphery compared to other groups. Compared to untreated or LDRT-treated tumor centers, tumor centers irradiated with ERT or SBRT showed elevated phospho-eIF2α accompanied by higher dendritic cell infiltration. In total, 39 advanced cancer patients were treated with ERT/αPD-1 or plus chemotherapy. Radiation-induced pneumonitis occurred in 1 of 26 patients receiving thoracic ERT. There were two cases of grade III toxicity associated with PD-1 inhibitors. No toxicity above grade III was observed. The objective response rate was 38.5%. The median PFS was 5.6 months and median OS was not reached at a median follow-up of 11.7 months. CONCLUSION ERT/αPD-1 showed superior efficacy in controlling bulky tumor in two mouse models. The hybrid immuno-RT (ERT) combing PD-1 inhibitors was safe and effective in patients with bulky tumors. Further clinical trials in combination with bioimaging to identify the optimal SBRT target region for the bulky tumor are warranted.
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Affiliation(s)
- R Luo
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Su
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - K Kang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Wu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Yao
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - W Xiu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - L Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Na
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Li
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Xu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Liu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - B Zou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Peng
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Wang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - R Zhong
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Gong
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Huang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - S Bai
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Xue
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - D Yan
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Lu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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6
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Zhao H, Zhou Y, Wu H, Kutser T, Han Y, Ma R, Yao Z, Zhao H, Xu P, Jiang C, Gu Q, Ma S, Wu L, Chen Y, Sheng H, Wan X, Chen W, Chen X, Bai J, Wu L, Liu Q, Sun W, Yang S, Hu M, Liu C, Liu D. Potential of Mie-Fluorescence-Raman Lidar to Profile Chlorophyll a Concentration in Inland Waters. Environ Sci Technol 2023; 57:14226-14236. [PMID: 37713595 DOI: 10.1021/acs.est.3c04212] [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] [Indexed: 09/17/2023]
Abstract
Vertical distribution of phytoplankton is crucial for assessing the trophic status and primary production in inland waters. However, there is sparse information about phytoplankton vertical distribution due to the lack of sufficient measurements. Here, we report, to the best of our knowledge, the first Mie-fluorescence-Raman lidar (MFRL) measurements of continuous chlorophyll a (Chl-a) profiles as well as their parametrization in inland water. The lidar-measured Chl-a during several experiments showed good agreement with the in situ data. A case study verified that MFRL had the potential to profile the Chl-a concentration. The results revealed that the maintenance of subsurface chlorophyll maxima (SCM) was influenced by light and nutrient inputs. Furthermore, inspired by the observations from MFRL, an SCM model built upon surface Chl-a concentration and euphotic layer depth was proposed with root mean square relative difference of 16.5% compared to MFRL observations, providing the possibility to map 3D Chl-a distribution in aquatic ecosystems by integrated active-passive remote sensing technology. Profiling and modeling Chl-a concentration with MFRL are expected to be of paramount importance for monitoring inland water ecosystems and environments.
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Affiliation(s)
- Hongkai Zhao
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311200, China
| | - Yudi Zhou
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Hongda Wu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Tiit Kutser
- Estonian Marine Institute, University of Tartu, Mäealuse 14, Tallinn 10619, Estonia
| | - Yicai Han
- Institute of Environmental Protection Science, Hangzhou 310014, China
| | - Ronghua Ma
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
| | - Ziwei Yao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, Dalian 116023, China
| | - Huade Zhao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, Dalian 116023, China
| | - Peituo Xu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Chengchong Jiang
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Qiuling Gu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Shizhe Ma
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Lingyun Wu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Yang Chen
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Haiyan Sheng
- Institute of Environmental Protection Science, Hangzhou 310014, China
| | - Xueping Wan
- Wuxi CAS Photonics Co., Ltd., Wuxi 214135, China
| | - Wentai Chen
- Wuxi CAS Photonics Co., Ltd., Wuxi 214135, China
| | | | - Jian Bai
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Lan Wu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Qun Liu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
- International Research Center for Advanced Photonics, Zhejiang University, Jiaxing 314400, China
| | - Wenbo Sun
- Donghai Laboratory, Zhoushan 316021, China
| | - Suhui Yang
- School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
| | - Miao Hu
- College of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Chong Liu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
| | - Dong Liu
- Ningbo Innovation Center, State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311200, China
- International Research Center for Advanced Photonics, Zhejiang University, Jiaxing 314400, China
- Jiaxing Key Laboratory of Photonic Sensing & Intelligent Imaging, Jiaxing 314000, China
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Huang Z, Liu S, Wang Y, Yao Z, Feng L, Lin Y, Ye J, Zhou T, Wang Z. Comparison of prevalence, resistance, biofilm-forming ability and virulence between carbapenem-non-susceptible and carbepenem-susceptible Enterobacter cloacae complex in clusters. J Hosp Infect 2023; 139:168-174. [PMID: 37348563 DOI: 10.1016/j.jhin.2023.06.017] [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: 03/01/2023] [Revised: 05/30/2023] [Accepted: 06/07/2023] [Indexed: 06/24/2023]
Abstract
OBJECTIVES This study aimed to explore differences in prevalence, resistance, biofilm-forming ability and virulence between carbapenem-non-susceptible and carbapenem-susceptible Enterobacter cloacae complex (ECC) in different clusters. METHODS Ninety-one carbapenem-non-susceptible isolates and an equal number of carbapenem-susceptible isolates and their clinical information were collected from a university teaching hospital in China. The strains were divided into different clusters based on hsp60 analysis. The agar dilution method was used to determine the minimum inhibitory concentrations of common antibiotics. The crystal violet assay was used to measure biofilm-forming ability. The Galleria mellonella infection model and polymerase chain reaction of virulence genes were used to evaluate virulence. RESULTS The isolates were divided into 12 clusters based on hsp60 analysis. Cluster VIII accounted for a greater proportion of carbapenem-non-susceptible isolates than the other clusters. The same clusters exhibited different resistance rates in carbapenem-non-susceptible and carbapenem-susceptible isolates. Moreover, carbapenem-non-susceptible isolates carried fewer virulence genes than carbapenem-susceptible isolates, and carbapenem-non-susceptible isolates in cluster II in did not carry the detected virulence genes. Virulence of carbapenem-non-susceptible and carbapenem-susceptible isolates differed significantly in clusters I, III, VIII and IX, as evaluated using the G. mellonella infection model. Carbapenem-non-susceptible isolates in cluster VIII showed higher prevalence, resistance, biofilm-forming ability and pathogenicity compared with the other clusters. CONCLUSIONS The study findings indicate the need to identify subgroups of ECC, and provide better advice and guidance for the use of carbapenems.
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Affiliation(s)
- Z Huang
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China
| | - S Liu
- Department of Clinical Laboratory, Children's Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Y Wang
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China
| | - Z Yao
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - L Feng
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Y Lin
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - J Ye
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China
| | - T Zhou
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China.
| | - Z Wang
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China.
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Li Q, Sun H, Bai Q, Li P, Lai Y, Yu S, Liu X, Yao Z, Cai Y, Liu J. Spatial distribution of polystyrene nanoplastics and small microplastics in the Bohai Sea, China. Sci Total Environ 2023; 881:163222. [PMID: 37019231 DOI: 10.1016/j.scitotenv.2023.163222] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 03/27/2023] [Accepted: 03/28/2023] [Indexed: 06/01/2023]
Abstract
Micro- and nano-plastic (MNP) pollution has attracted public concerns. Currently, most environmental researches focus on large microplastics (MPs), while small MNPs that have great impacts on marine ecosystems are rarely reported. Understanding the pollution levels and distribution patterns of small MNPs could help assess their potential impacts on the ecosystem. Polystyrene (PS) MNPs were often used as models to assess their toxicity, hence, we collected 21 sites in a Chinese sea area (the Bohai Sea) to analyze their pollution level and horizontal distribution in surface water samples, and vertical distributions in five sites with the water depth >25 m. Samples were filtered by glass membranes (1 μm) to trap MPs, which were frozen, ground, dried, and detected by pyrolysis-gas chromatography-mass spectrometry (pyGC-MS); while the nanoplastics (NPs) in the filtrate were captured with alkylated ferroferric oxide (Fe3O4) to form aggregates, which were separated by glass membrane (300 nm) filtration for pyGC-MS determination. Small PS MPs (1-100 μm) and NPs (<1 μm) were detected in 18 samples with the mass concentrations ranging from <0.015 to 0.41 μg/L, indicating that PS MNPs are widely present in Bohai Sea. Our study contributes to understanding the pollution levels and distribution patterns of MNPs (<100 μm) in the marine system and provides valuable data for their further risk assessment.
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Affiliation(s)
- Qingcun Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Helin Sun
- Key Laboratory for Ecological Environment in Coastal Areas, Ministry of Ecology and Environment, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Qingsheng Bai
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peng Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yujian Lai
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing 100085, China
| | - Sujuan Yu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xing Liu
- Key Laboratory for Ecological Environment in Coastal Areas, Ministry of Ecology and Environment, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Ziwei Yao
- Key Laboratory for Ecological Environment in Coastal Areas, Ministry of Ecology and Environment, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Yaqi Cai
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing 100085, China
| | - Jingfu Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing 100085, China; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
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Li Z, Dang W, Hao T, Zhang H, Yao Z, Zhou W, Deng L, Yu H, Wen Y, Liu L. Shared genetics and causal relationships between major depressive disorder and COVID-19 related traits: a large-scale genome-wide cross-trait meta-analysis. Front Psychiatry 2023; 14:1144697. [PMID: 37426090 PMCID: PMC10328439 DOI: 10.3389/fpsyt.2023.1144697] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 05/31/2023] [Indexed: 07/11/2023] Open
Abstract
Introduction The comorbidity between major depressive disorder (MDD) and coronavirus disease of 2019 (COVID-19) related traits have long been identified in clinical settings, but their shared genetic foundation and causal relationships are unknown. Here, we investigated the genetic mechanisms behind COVID-19 related traits and MDD using the cross-trait meta-analysis, and evaluated the underlying causal relationships between MDD and 3 different COVID-19 outcomes (severe COVID-19, hospitalized COVID-19, and COVID-19 infection). Methods In this study, we conducted a comprehensive analysis using the most up-to-date and publicly available GWAS summary statistics to explore shared genetic etiology and the causality between MDD and COVID-19 outcomes. We first used genome-wide cross-trait meta-analysis to identify the pleiotropic genomic SNPs and the genes shared by MDD and COVID-19 outcomes, and then explore the potential bidirectional causal relationships between MDD and COVID-19 outcomes by implementing a bidirectional MR study design. We further conducted functional annotations analyses to obtain biological insight for shared genes from the results of cross-trait meta-analysis. Results We have identified 71 SNPs located on 25 different genes are shared between MDD and COVID-19 outcomes. We have also found that genetic liability to MDD is a causal factor for COVID-19 outcomes. In particular, we found that MDD has causal effect on severe COVID-19 (OR = 1.832, 95% CI = 1.037-3.236) and hospitalized COVID-19 (OR = 1.412, 95% CI = 1.021-1.953). Functional analysis suggested that the shared genes are enriched in Cushing syndrome, neuroactive ligand-receptor interaction. Discussion Our findings provide convincing evidence on shared genetic etiology and causal relationships between MDD and COVID-19 outcomes, which is crucial to prevention, and therapeutic treatment of MDD and COVID-19.
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Affiliation(s)
- Ziqi Li
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Weijia Dang
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Tianqi Hao
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hualin Zhang
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ziwei Yao
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wenchao Zhou
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Liufei Deng
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hongmei Yu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yalu Wen
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | - Long Liu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
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Li R, Gao H, Hou C, Fu J, Shi T, Wu Z, Jin S, Yao Z, Na G, Ma X. Occurrence, source, and transfer fluxes of organophosphate esters in the South Pacific and Fildes Peninsula, Antarctic. Sci Total Environ 2023:164263. [PMID: 37315614 DOI: 10.1016/j.scitotenv.2023.164263] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 05/14/2023] [Accepted: 05/15/2023] [Indexed: 06/16/2023]
Abstract
Concentrations of 11 organophosphate esters (OPEs) were investigated in surface water and atmosphere samples collected from the South Pacific and Fildes Peninsula. TEHP and TCEP were the dominant OPEs in South Pacific dissolved water, with concentration range of nd-106.13 ng/L and 1.06-28.97 ng/L, respectively. The total concentration of ∑10OPEs in the South Pacific atmosphere was higher than that in Fildes Peninsula, ranging from 216.78 to 2033.97 pg/m3 and 161.83 pg/m3, respectively. TCEP and TCPP were the most dominant OPEs in the South Pacific atmosphere, while TPhP was the most prevalent in the Fildes Peninsula. The air-water exchange flux of ∑10OPEs at the South Pacific was 0.04-3.56 ng/m2/day, with a transmission direction of evaporation totally determined by TiBP and TnBP. The atmospheric dry deposition dominated the transport direction of OPEs between air and water, with an flux of Σ10OPEs at 10.28-213.62 ng/m2/day (mean: 85.2 ng/m2/day). The current transport flux of OPEs through the Tasman Sea to the ACC (2.65 × 104 kg/day) was significantly higher than the dry deposition flux over the Tasman Sea(493.55 kg/day), indicating the Tasman Sea's importance as a transport pathway for OPEs from low latitude areas to the South Pacific. Principal component analysis and air mass back-trajectory analysis provided evidence of terrestrial inputs from human activities that have impacted the environment in the South Pacific and the Antarctic.
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Affiliation(s)
- Ruijing Li
- National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Hui Gao
- National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Chao Hou
- College of Marine Environment and Ecology, Shanghai Ocean University, Shanghai 201306, China; NCS Testing Technology Co., Ltd., Beijing 100081, China
| | - Jie Fu
- College of Marine Environment and Ecology, Shanghai Ocean University, Shanghai 201306, China
| | - Tengda Shi
- College of Marine Technology and Environment, Dalian Ocean University, Dalian 116023, China
| | - Zilan Wu
- National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Shuaichen Jin
- National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Ziwei Yao
- National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Guangshui Na
- Laboratory for Coastal Marine Eco-environment Process and Carbon Sink of Hainan Province/Yazhou Bay Innovation Institute, Hainan Tropical Ocean University, Sanya 572022, China; College of Marine Environment and Ecology, Shanghai Ocean University, Shanghai 201306, China.
| | - Xingdong Ma
- National Marine Environmental Monitoring Center, Dalian, 116023, China
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11
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Li M, Yao Z, Chen Y, Li D, Shao J, Dong H, Meng Z, Yang L, Ren W, Luo X, Shao P. Potential-dependent selectivity for the efficient capture of gold from E-waste acid leachate using sulfhydryl-functionalized carbon. Sci Bull (Beijing) 2023:S2095-9273(23)00309-2. [PMID: 37217428 DOI: 10.1016/j.scib.2023.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 04/11/2023] [Accepted: 04/28/2023] [Indexed: 05/24/2023]
Affiliation(s)
- Min Li
- Department of Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
| | - Ziwei Yao
- Department of Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China; National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, China; State Key Laboratory of Urban Water Resource and Environment, School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
| | - Yidi Chen
- State Key Laboratory of Urban Water Resource and Environment, School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
| | - Dewei Li
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, China
| | - Jiachuang Shao
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, China
| | - Hao Dong
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, China
| | - Zhu Meng
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, China
| | - Liming Yang
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, China
| | - Wei Ren
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, China
| | - Xubiao Luo
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, China
| | - Penghui Shao
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, China.
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Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Yu Y, Zhou L, Na F, Li Y, Zhang X, Zou B, Peng F, Wang J, Xue J, Gong Y, Lu Y. 197P Combining stereotactic body radiation and low-dose radiation (EclipseRT) with PD-1 inhibitor in mice models and patients with bulky tumor. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00450-1] [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: 04/03/2023]
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13
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Jin F, Wang Y, Yu F, Liu X, Zhang M, Li Z, Yao Z, Cong Y, Wang J. Acute and Chronic Effects of Crude Oil Water-Accommodated Fractions on the Early Life Stages of Marine Medaka ( Oryzias melastigma, McClelland, 1839). Toxics 2023; 11:236. [PMID: 36977001 PMCID: PMC10053065 DOI: 10.3390/toxics11030236] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 02/21/2023] [Accepted: 02/25/2023] [Indexed: 06/18/2023]
Abstract
Oil spill is a major marine environmental pollution issue. Research regarding the long-term effects of oil spills on the early life stage of marine fish is still limited. In this study, the potential adverse impact of crude oil from one oil spill accident which occurred in the Bohai Sea on the early life stages of marine medaka (Oryzias melastigma, McClelland, 1839) was evaluated. A 96-h acute test (larvae) and a 21-d chronic test (embryo-larvae) of water-accommodated fractions (WAFs) from crude oil were conducted, respectively. The results of the acute test showed that only the highest concentration of WAFs (100.00%) significantly affected the mortality of larvae (p < 0.01) and that the 96 h-LC50 was 68.92% (4.11 mg·L-1 expressed as total petroleum hydrocarbons (TPHs)). Larval heart demonstrated histopathological alterations in all WAF-exposed groups. The chronic test results showed that, except for larval mortality, the total hatching success (%)/hatching time of embryos in WAF treatments was not significantly different from those of the control group (p > 0.05), and no malformation was found in surviving larvae after 21 d of exposure. Nevertheless, the exposed embryos and larvae in the highest concentration of WAFs (60.00%) demonstrated significantly reduced heart rate (p < 0.05) and increased mortality (p < 0.01), respectively. Overall, our results indicated that both acute and chronic WAF exposures had adverse impacts on the survival of marine medaka. In the early life stages, the heart of the marine medaka was the most sensitive organ which showed both structural alteration and cardiac dysfunction.
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Affiliation(s)
- Fei Jin
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Dalian 116023, China
| | - Ying Wang
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Dalian 116023, China
| | - Fuwei Yu
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Dalian 116023, China
- School of Chemical Engineering, Dalian University of Technology, Dalian 116023, China
| | - Xing Liu
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Dalian 116023, China
| | - Mingxing Zhang
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Dalian 116023, China
| | - Zhaochuan Li
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Dalian 116023, China
| | - Ziwei Yao
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Dalian 116023, China
| | - Yi Cong
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Dalian 116023, China
| | - Juying Wang
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, No. 42 Linghe Street, Dalian 116023, China
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14
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Du J, Zhang F, Du J, Wang Z, Ren X, Yao Z. Source and sequestration of sediment organic carbon from different elevation zones in estuarine wetland, North China. Sci Total Environ 2023; 859:160253. [PMID: 36402310 DOI: 10.1016/j.scitotenv.2022.160253] [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: 06/21/2022] [Revised: 10/27/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
Estuarine wetland plays an important role in regulating global carbon cycle due to high terrestrial carbon input and burial. However, it is unclear how the source and sequestration of sediment organic carbon (SOC) in estuarine wetlands changes under the anthropogenic impact in the past century. In this study, combining parameters of TOC/TN ratios, δ13C, δ15N and 210Pb-chronology, temporal trends of SOC source and sequestration flux in Liaohe estuarine wetland were studied. The results showed that the source of organic carbon in Liaohe estuarine wetland was dominated by terrestrial input (contribution >60 %). Due to vegetation, TOC in shallow reed marsh was significantly higher than that of bare beach and subtidal flat. Affected by elevation, the sediment mass accumulation rate (MAR, kg·m-2·yr-1) showed differences in reed marsh (C1), bare beach (C2) and subtidal flat (C3), which were 6.57, 13.56 and 13.25 respectively in the past century. MAR fluctuated over time, it showed an overall increasing trend, especially since the 1980s. Correspondingly, the sequestration flux of SOC (SF-SOC, g·m-2·yr-1) showed an overall increasing trend with average of 82.84 (reed marsh), 151.93 (bare beach) and 123.71 (subtidal flat). Comparing to TOC, the higher MAR had a more distinct effect on carbon sequestration in Liaohe estuarine wetland. The difference in sedimentation rate and carbon sequestration are linked to the changes in sediment flux of riverine input and land utilization in the catchment area due to human activities in recent decades, including the construction of reservoirs, dams and local ditch wharf.
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Affiliation(s)
- Jinqiu Du
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, PR China; National Marine Environmental Monitoring Center, Dalian 116023, PR China
| | - Fenfen Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, PR China
| | - Jinzhou Du
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, PR China.
| | - Zhen Wang
- National Marine Environmental Monitoring Center, Dalian 116023, PR China
| | - Xu Ren
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, PR China
| | - Ziwei Yao
- National Marine Environmental Monitoring Center, Dalian 116023, PR China
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Wu Z, Lin T, Sun H, Li R, Liu X, Guo Z, Ma X, Yao Z. Polycyclic aromatic hydrocarbons in Fildes Peninsula, maritime Antarctica: Effects of human disturbance. Environ Pollut 2023; 318:120768. [PMID: 36473643 DOI: 10.1016/j.envpol.2022.120768] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 09/15/2022] [Revised: 11/12/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
This study provides the first data on the distribution, sources, and transport dynamics of polycyclic aromatic hydrocarbons (PAHs) in Fildes Peninsula, Antarctica via summertime analyses of lakes, seawater, snow, and air in 2013. Relatively high PAH levels and similar composition profiles (dominance of two- and three-ring PAHs) in the investigated marine and terrestrial environmental matrices were found, indicating substantial primary emissions of petrogenic PAHs. This result was corroborated by nonequilibrium partitioning of atmospheric PAHs caused by release of anthropically-derived lighter PAHs and air mass movement trajectories mainly originated from the Antarctic marginal seas. Notable geographical disparities of PAH pollution in the various types of samples consistently suggested impacts of station-related activities, rather than long-range atmospheric transport, on PAHs in Fildes Peninsula. The lack for temperature dependence for gas-phase concentrations and various molecular diagnostic ratios of atmospheric PAHs demonstrated that the impact of local anthropogenic inputs on air PAH variability supersedes the re-emission effect. The derived air-water and air-snow exchanges of PAHs in this remote region indicated a disequilibrium state, partially associated with intense local emissions of PAHs. PAH outgassing from, and absorption into, lake and marine waters were both observed, probably due to differences in anthropogenic influences among sites, while the net deposition of gaseous PAHs into snow prevailed. The results of this study shed lights on the major importance of native anthropogenic sources in the footprint and fate of PAHs in the Fildes Peninsula, which merits further monitoring.
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Affiliation(s)
- Zilan Wu
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Tian Lin
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
| | - Hao Sun
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Ruijing Li
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Xing Liu
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Zhigang Guo
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Institute of Atmospheric Sciences, Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Xindong Ma
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China.
| | - Ziwei Yao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
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16
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Dong H, Zhang L, Shao P, Hu Z, Yao Z, Xiao Q, Li D, Li M, Yang L, Luo S, Luo X. A metal-organic framework surrounded with conjugate acid-base pairs for the efficient capture of Cr(VI) via hydrogen bonding over a wide pH range. J Hazard Mater 2023; 441:129945. [PMID: 36113345 DOI: 10.1016/j.jhazmat.2022.129945] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [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: 06/28/2022] [Revised: 09/02/2022] [Accepted: 09/06/2022] [Indexed: 06/15/2023]
Abstract
Given the large amount of toxic Cr(VI) wastewater from various industries, it is urgent to take effective treatment measures. Adsorption has been regarded as highly desirable for Cr(VI) removal, but the effectiveness of most adsorbents is significantly dependent on pH value, in which precipitous performance drop and even structural collapse generally occur in strong acidic/alkaline aqueous. Thus, maintaining high adsorption performance and structural integrity over a wide pH range is challenging. To efficiently remove Cr(VI), we designed and prepared of an acid-base resistant metal-organic framework (MOF) Zr-BDPO, by introducing weak acid-base groups (-NH-, -N= and -OH) onto the ligand. Zr-BDPO achieved a maximum adsorption capacity of 555.6 mg·g-1 and retained skeletal structure at pH= 1-11. Interestingly, all these groups can generate conjugate acid-base pairs by means of H+ and OH- in the external solution and then form buffer layer. The removal of Cr(VI) at a broad range of pH values primarily via hydrogen bonds between -NH- and -OH, and the oxoanion species of Cr(VI) is unusual. This strategy that insulating high concentrations of acids and bases and relying on hydrogen bonds to capture Cr(VI) oxoanions provides a new perspective for actual Cr(VI) wastewater treatment.
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Affiliation(s)
- Hao Dong
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Li Zhang
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Penghui Shao
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China.
| | - Zichao Hu
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Ziwei Yao
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Qingying Xiao
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Dewei Li
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Min Li
- Department of Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, PR China.
| | - Liming Yang
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Shenglian Luo
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China
| | - Xubiao Luo
- National-Local Joint Engineering Research Center of Heavy Metals Pollutants Control and Resource Utilization, Nanchang Hangkong University, Nanchang 330063, PR China.
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17
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Morvan A, Andersen TI, Mi X, Neill C, Petukhov A, Kechedzhi K, Abanin DA, Michailidis A, Acharya R, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Del Toro Barba A, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores Burgos L, Forati E, Fowler AG, Foxen B, Giang W, Gidney C, Gilboa D, Giustina M, Grajales Dau A, Gross JA, Habegger S, Hamilton MC, Harrigan MP, Harrington SD, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lester BJ, Lill AT, Liu W, Locharla A, Malone F, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Nersisyan A, Newman M, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Olenewa R, Opremcak A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shvarts V, Skruzny J, Smith WC, Strain D, Sterling G, Su Y, Szalay M, Torres A, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Xing C, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Aleiner I, Ioffe LB, Roushan P. Formation of robust bound states of interacting microwave photons. Nature 2022; 612:240-245. [PMID: 36477133 PMCID: PMC9729104 DOI: 10.1038/s41586-022-05348-y] [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] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/14/2022] [Indexed: 12/12/2022]
Abstract
Systems of correlated particles appear in many fields of modern science and represent some of the most intractable computational problems in nature. The computational challenge in these systems arises when interactions become comparable to other energy scales, which makes the state of each particle depend on all other particles1. The lack of general solutions for the three-body problem and acceptable theory for strongly correlated electrons shows that our understanding of correlated systems fades when the particle number or the interaction strength increases. One of the hallmarks of interacting systems is the formation of multiparticle bound states2-9. Here we develop a high-fidelity parameterizable fSim gate and implement the periodic quantum circuit of the spin-½ XXZ model in a ring of 24 superconducting qubits. We study the propagation of these excitations and observe their bound nature for up to five photons. We devise a phase-sensitive method for constructing the few-body spectrum of the bound states and extract their pseudo-charge by introducing a synthetic flux. By introducing interactions between the ring and additional qubits, we observe an unexpected resilience of the bound states to integrability breaking. This finding goes against the idea that bound states in non-integrable systems are unstable when their energies overlap with the continuum spectrum. Our work provides experimental evidence for bound states of interacting photons and discovers their stability beyond the integrability limit.
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Affiliation(s)
- A Morvan
- Google Research, Mountain View, CA, USA
| | | | - X Mi
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - A Michailidis
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - R Acharya
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J Basso
- Google Research, Mountain View, CA, USA
| | | | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | - D Eppens
- Google Research, Mountain View, CA, USA
| | | | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | | | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- Centre for Quantum Computation and Communication Technology, Centre for Quantum Software and Information, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Y Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | - F Malone
- Google Research, Mountain View, CA, USA
| | - O Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | - K C Miao
- Google Research, Mountain View, CA, USA
| | - M Mohseni
- Google Research, Mountain View, CA, USA
| | | | - E Mount
- Google Research, Mountain View, CA, USA
| | | | - O Naaman
- Google Research, Mountain View, CA, USA
| | - M Neeley
- Google Research, Mountain View, CA, USA
| | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | - R Olenewa
- Google Research, Mountain View, CA, USA
| | | | - R Potter
- Google Research, Mountain View, CA, USA
| | | | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | - W C Smith
- Google Research, Mountain View, CA, USA
| | - D Strain
- Google Research, Mountain View, CA, USA
| | | | - Y Su
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | - Z Yao
- Google Research, Mountain View, CA, USA
| | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | | | - I Aleiner
- Google Research, Mountain View, CA, USA.
| | - L B Ioffe
- Google Research, Mountain View, CA, USA.
| | - P Roushan
- Google Research, Mountain View, CA, USA.
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18
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Mi X, Sonner M, Niu MY, Lee KW, Foxen B, Acharya R, Aleiner I, Andersen TI, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Brill L, Broughton M, Buckley BB, Buell DA, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Debroy DM, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores L, Forati E, Fowler AG, Giang W, Gidney C, Gilboa D, Giustina M, Dau AG, Gross JA, Habegger S, Harrigan MP, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Kafri D, Kechedzhi K, Khattar T, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Lee J, Laws L, Liu W, Locharla A, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Morvan A, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Neill C, Newman M, O’Brien TE, Opremcak A, Petukhov A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schuster C, Shearn MJ, Shvarts V, Strain D, Su Y, Szalay M, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Chen Y, Kelly J, Smelyanskiy V, Abanin DA, Roushan P. Noise-resilient edge modes on a chain of superconducting qubits. Science 2022; 378:785-790. [DOI: 10.1126/science.abq5769] [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: 11/18/2022]
Abstract
Inherent symmetry of a quantum system may protect its otherwise fragile states. Leveraging such protection requires testing its robustness against uncontrolled environmental interactions. Using 47 superconducting qubits, we implement the one-dimensional kicked Ising model, which exhibits nonlocal Majorana edge modes (MEMs) with
ℤ
2
parity symmetry. We find that any multiqubit Pauli operator overlapping with the MEMs exhibits a uniform late-time decay rate comparable to single-qubit relaxation rates, irrespective of its size or composition. This characteristic allows us to accurately reconstruct the exponentially localized spatial profiles of the MEMs. Furthermore, the MEMs are found to be resilient against certain symmetry-breaking noise owing to a prethermalization mechanism. Our work elucidates the complex interplay between noise and symmetry-protected edge modes in a solid-state environment.
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Affiliation(s)
- X. Mi
- Google Research, Mountain View, CA, USA
| | - M. Sonner
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - M. Y. Niu
- Google Research, Mountain View, CA, USA
| | - K. W. Lee
- Google Research, Mountain View, CA, USA
| | - B. Foxen
- Google Research, Mountain View, CA, USA
| | | | | | | | - F. Arute
- Google Research, Mountain View, CA, USA
| | - K. Arya
- Google Research, Mountain View, CA, USA
| | - A. Asfaw
- Google Research, Mountain View, CA, USA
| | | | - J. C. Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J. Basso
- Google Research, Mountain View, CA, USA
| | | | | | | | - L. Brill
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Chen
- Google Research, Mountain View, CA, USA
| | - B. Chiaro
- Google Research, Mountain View, CA, USA
| | | | - P. Conner
- Google Research, Mountain View, CA, USA
| | | | | | | | - S. Demura
- Google Research, Mountain View, CA, USA
| | | | - D. Eppens
- Google Research, Mountain View, CA, USA
| | | | - L. Faoro
- Google Research, Mountain View, CA, USA
| | - E. Farhi
- Google Research, Mountain View, CA, USA
| | - R. Fatemi
- Google Research, Mountain View, CA, USA
| | - L. Flores
- Google Research, Mountain View, CA, USA
| | - E. Forati
- Google Research, Mountain View, CA, USA
| | | | - W. Giang
- Google Research, Mountain View, CA, USA
| | - C. Gidney
- Google Research, Mountain View, CA, USA
| | - D. Gilboa
- Google Research, Mountain View, CA, USA
| | | | - A. G. Dau
- Google Research, Mountain View, CA, USA
| | | | | | | | | | - S. Hong
- Google Research, Mountain View, CA, USA
| | - T. Huang
- Google Research, Mountain View, CA, USA
| | - A. Huff
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Jiang
- Google Research, Mountain View, CA, USA
| | - C. Jones
- Google Research, Mountain View, CA, USA
| | - D. Kafri
- Google Research, Mountain View, CA, USA
| | | | | | - S. Kim
- Google Research, Mountain View, CA, USA
| | - A. Y. Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | | | - A. N. Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P. Laptev
- Google Research, Mountain View, CA, USA
| | - K.-M. Lau
- Google Research, Mountain View, CA, USA
| | - J. Lee
- Google Research, Mountain View, CA, USA
| | - L. Laws
- Google Research, Mountain View, CA, USA
| | - W. Liu
- Google Research, Mountain View, CA, USA
| | | | - O. Martin
- Google Research, Mountain View, CA, USA
| | | | - M. McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | | | | | | | - A. Morvan
- Google Research, Mountain View, CA, USA
| | - E. Mount
- Google Research, Mountain View, CA, USA
| | | | - O. Naaman
- Google Research, Mountain View, CA, USA
| | - M. Neeley
- Google Research, Mountain View, CA, USA
| | - C. Neill
- Google Research, Mountain View, CA, USA
| | - M. Newman
- Google Research, Mountain View, CA, USA
| | | | | | | | - R. Potter
- Google Research, Mountain View, CA, USA
| | | | | | - N. Saei
- Google Research, Mountain View, CA, USA
| | - D. Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - D. Strain
- Google Research, Mountain View, CA, USA
| | - Y. Su
- Google Research, Mountain View, CA, USA
| | - M. Szalay
- Google Research, Mountain View, CA, USA
| | - G. Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T. White
- Google Research, Mountain View, CA, USA
| | - Z. Yao
- Google Research, Mountain View, CA, USA
| | - P. Yeh
- Google Research, Mountain View, CA, USA
| | - J. Yoo
- Google Research, Mountain View, CA, USA
| | | | - Y. Zhang
- Google Research, Mountain View, CA, USA
| | - N. Zhu
- Google Research, Mountain View, CA, USA
| | - H. Neven
- Google Research, Mountain View, CA, USA
| | - D. Bacon
- Google Research, Mountain View, CA, USA
| | - J. Hilton
- Google Research, Mountain View, CA, USA
| | - E. Lucero
- Google Research, Mountain View, CA, USA
| | | | - S. Boixo
- Google Research, Mountain View, CA, USA
| | | | - Y. Chen
- Google Research, Mountain View, CA, USA
| | - J. Kelly
- Google Research, Mountain View, CA, USA
| | | | - D. A. Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
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19
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Zhou Y, Chen Y, Zhao H, Jamet C, Dionisi D, Chami M, Di Girolamo P, Churnside JH, Malinka A, Zhao H, Qiu D, Cui T, Liu Q, Chen Y, Phongphattarawat S, Wang N, Chen S, Chen P, Yao Z, Le C, Tao Y, Xu P, Wang X, Wang B, Chen F, Ye C, Zhang K, Liu C, Liu D. Shipborne oceanic high-spectral-resolution lidar for accurate estimation of seawater depth-resolved optical properties. Light Sci Appl 2022; 11:261. [PMID: 36055999 PMCID: PMC9440025 DOI: 10.1038/s41377-022-00951-0] [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] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 07/18/2022] [Accepted: 08/07/2022] [Indexed: 06/15/2023]
Abstract
Lidar techniques present a distinctive ability to resolve vertical structure of optical properties within the upper water column at both day- and night-time. However, accuracy challenges remain for existing lidar instruments due to the ill-posed nature of elastic backscatter lidar retrievals and multiple scattering. Here we demonstrate the high performance of, to the best of our knowledge, the first shipborne oceanic high-spectral-resolution lidar (HSRL) and illustrate a multiple scattering correction algorithm to rigorously address the above challenges in estimating the depth-resolved diffuse attenuation coefficient Kd and the particulate backscattering coefficient bbp at 532 nm. HSRL data were collected during day- and night-time within the coastal areas of East China Sea and South China Sea, which are connected by the Taiwan Strait. Results include vertical profiles from open ocean waters to moderate turbid waters and first lidar continuous observation of diel vertical distribution of thin layers at a fixed station. The root-mean-square relative differences between the HSRL and coincident in situ measurements are 5.6% and 9.1% for Kd and bbp, respectively, corresponding to an improvement of 2.7-13.5 and 4.9-44.1 times, respectively, with respect to elastic backscatter lidar methods. Shipborne oceanic HSRLs with high performance are expected to be of paramount importance for the construction of 3D map of ocean ecosystem.
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Affiliation(s)
- Yudi Zhou
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
- Intelligent Optics & Photonics Research Center, Jiaxing Key Laboratory of Photonic Sensing & Intelligent Imaging, Jiaxing Research Institute, Zhejiang University, Jiaxing, 314000, China
| | - Yang Chen
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Hongkai Zhao
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Cédric Jamet
- Univ. Littoral Côte d'Opale, CNRS, Univ. Lille, IRD, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, F-62930, Wimereux, France
| | - Davide Dionisi
- Institute of Marine Sciences (ISMAR), Italian National Research Council (CNR), Rome - Tor Vergata, 00133, Italy
| | - Malik Chami
- Sorbonne Université, CNRS, LATMOS, 96 Boulevard de l'Observatoire, 06304, Nice Cedex, France
| | - Paolo Di Girolamo
- Scuola di Ingegneria, Università della Basilicata, Viale Ateneo Lucano 10, I-85100, Potenza, Italy
| | - James H Churnside
- Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder and NOAA Chemical Sciences Laboratory, 325 Broadway, Boulder, CO, 80305, USA
| | - Aleksey Malinka
- Institute of Physics, National Academy of Sciences of Belarus, Pr. Nezavisimosti 68-2, Minsk, 220072, Belarus
| | - Huade Zhao
- Key Laboratory for Ecological Environment in Coastal Areas (State Oceanic Administration), National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Dajun Qiu
- CAS Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China
| | - Tingwei Cui
- School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai, 519000, China
| | - Qun Liu
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Yatong Chen
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | | | - Nanchao Wang
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Sijie Chen
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Peng Chen
- Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China
| | - Ziwei Yao
- Key Laboratory for Ecological Environment in Coastal Areas (State Oceanic Administration), National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Chengfeng Le
- Ocean College, Zhejiang University, Zhoushan, 316021, China
| | - Yuting Tao
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Peituo Xu
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Xiaobin Wang
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Binyu Wang
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Feitong Chen
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Chuang Ye
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Kai Zhang
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Chong Liu
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Dong Liu
- Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
- Intelligent Optics & Photonics Research Center, Jiaxing Key Laboratory of Photonic Sensing & Intelligent Imaging, Jiaxing Research Institute, Zhejiang University, Jiaxing, 314000, China.
- Donghai Laboratory, Zhoushan, 316021, China.
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20
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Yao Z, Li J, Bian L, Li Q, Wang X, Yang X, Wei X, Wan G, Wang Y, Shi J, Guo J. Nootkatone alleviates rotenone-induced Parkinson's disease symptoms through activation of the PI3K/Akt signaling pathway. Phytother Res 2022; 36:4183-4200. [PMID: 35833337 DOI: 10.1002/ptr.7552] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 11/07/2022]
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease worldwide. Nootkatone (NKT) has been shown to have neuroprotective, anti-inflammatory, and antioxidant effects and in this study, we systematically studied the efficacy and mechanism of action of NKT in rotenone (ROT)-induced PD rats. Firstly, through behavioral experiments and brain tissue staining, we found that NKT alleviated behavioral dysfunction and protected dopaminergic neurons associated with ROT-induced PD rats. Next, target prediction, protein-protein interaction (PPI), Gene Ontology (GO), and pathway enrichment analyses were used to obtain potential targets, specific biological processes, and molecular mechanisms of NKT for the potential treatment of PD. Furthermore, we also applied molecular docking to predict the binding capacity of NKT and related targets. Additionally, in vivo experiments confirmed that NKT could inhibit the expression of Mitogen-activated protein kinase 3 (MAPK3) by activating the PI3K/Akt signaling pathway, reducing neuroinflammation, and ultimately ameliorating ROT-induced PD symptoms. Taken together, the results of the study provide a clear explanation for the remission of PD symptoms by NKT, suggesting that it may be a promising candidate for the treatment of PD.
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Affiliation(s)
- Ziwei Yao
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Jiayuan Li
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Lihua Bian
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Qiuyu Li
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaomei Wang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Xue Yang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaojia Wei
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Guohui Wan
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Yuqing Wang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Jinli Shi
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Jianyou Guo
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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21
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Li Q, Lai Y, Li P, Liu X, Yao Z, Liu J, Yu S. Evaluating the Occurrence of Polystyrene Nanoparticles in Environmental Waters by Agglomeration with Alkylated Ferroferric Oxide Followed by Micropore Membrane Filtration Collection and Py-GC/MS Analysis. Environ Sci Technol 2022; 56:8255-8265. [PMID: 35652387 DOI: 10.1021/acs.est.2c02033] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Although nanoplastics (NPs) are recognized as emerging anthropogenic particulate pollutants, the occurrence of NPs in the environment is rarely reported, partly due to the lack of sensitive methods for the concentration and detection of NPs. Herein, we present an efficient method for enriching NPs of different compositions and various sizes. Alkylated ferroferric oxide (Fe3O4) particles were prepared as adsorbents for highly efficient capture of NPs in environmental waters, and the formed large Fe3O4-NP agglomerates were separated by membrane filtration. Detection limits of 0.02-0.03 μg/L were obtained for polystyrene (PS) and poly(methyl methacrylate) (PMMA) NPs by detection with pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS). When analyzing real water samples from different sources, it is remarkable that PS NPs were detected in 11 out of 15 samples with concentrations ranging from <0.07 to 0.73 μg/L, while PMMA were not detected. The wide detection of PS NPs in our study confirms the previous speculation that NPs may be ubiquitous in the environmental waters. The accurate quantification of PS NPs in environmental waters make it possible to monitor the pollution status of NPs in aquatic systems and evaluate their potential risks.
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Affiliation(s)
- Qingcun Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yujian Lai
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Peng Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xing Liu
- National Marine Environmental Monitoring Center, Liaoning 116023, China
| | - Ziwei Yao
- National Marine Environmental Monitoring Center, Liaoning 116023, China
| | - Jingfu Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
- School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
| | - Sujuan Yu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
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22
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Qi Y, Yao Z, Ma X, Ding X, Shangguan K, Zhang M, Xu N. Ecological risk assessment for organophosphate esters in the surface water from the Bohai Sea of China using multimodal species sensitivity distributions. Sci Total Environ 2022; 820:153172. [PMID: 35063513 DOI: 10.1016/j.scitotenv.2022.153172] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 10/29/2021] [Revised: 12/18/2021] [Accepted: 01/12/2022] [Indexed: 06/14/2023]
Abstract
Organophosphate esters (OPEs) as the foremost substitutes of brominated flame retardants have been ubiquitously found in the aquatic environment around the world. However, the information on the community-level risks induced by OPEs to the marine ecosystem remains scarce. This study adopted ten commonly used species sensitivity distribution (SSD) parametric statistical approaches coupled with the acute-to-chronic transformation for the toxicity data to fit the sensitivity distributions of different species to four major OPE congeners including triethyl phosphate (TEP), tri-n-butyl phosphate (TnBP), tri(2-chloroethyl) phosphate (TCEP), and tris(1-chloro-2-propyl) phosphate (TCPP) in the surface water of the Bohai Sea. All SSD models except Exponential for TnBP, TCEP, and TCPP fitted well the chronic toxicity data for the four OPE congeners. Discrepancies appeared among the best fitting models for different congeners, which also happened to the fitting results from the multiple SSD models for each congener. Based on the best fitting models, the hazard concentrations corresponding to the cumulative probability of 5% were 3.58 mg/L, 0.116 mg/L, 1.30 mg/L, and 1.44 mg/L for TEP, TnBP, TCEP, and TCPP, respectively. The risks induced by the four OPE congeners to the Bohai Sea ecosystem were negligible during the monitoring period because of both the risk quotients and the hazard indexes far <0.1. This study drew a clear picture of the joint ecological risks of TEP, TnBP, TCEP, and TCPP to the Bohai Sea environment. The application of multimodal SSD statistical methods will benefit the accurate derivation of water quality criteria and the community-level ecological risk assessment for pollutants.
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Affiliation(s)
- Yanjie Qi
- School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China; State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Ziwei Yao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Xindong Ma
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Xiaolin Ding
- College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China
| | - Kuixing Shangguan
- Ecological Civilization Construction Service Center of Linyi, Linyi 276000, China
| | - Mingxing Zhang
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Nan Xu
- School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
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23
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Chen F, Wang Y, Wang X, Yao Z, Li M. Complex genetic models in dystrophic epidermolysis bullosa families with marked intra-familial phenotypic heterogeneity. J Eur Acad Dermatol Venereol 2022; 36:e550-e553. [PMID: 35181940 DOI: 10.1111/jdv.18020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 01/19/2022] [Accepted: 02/08/2022] [Indexed: 11/30/2022]
Affiliation(s)
- F Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Wang
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - X Wang
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
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24
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Satzinger KJ, Liu YJ, Smith A, Knapp C, Newman M, Jones C, Chen Z, Quintana C, Mi X, Dunsworth A, Gidney C, Aleiner I, Arute F, Arya K, Atalaya J, Babbush R, Bardin JC, Barends R, Basso J, Bengtsson A, Bilmes A, Broughton M, Buckley BB, Buell DA, Burkett B, Bushnell N, Chiaro B, Collins R, Courtney W, Demura S, Derk AR, Eppens D, Erickson C, Faoro L, Farhi E, Fowler AG, Foxen B, Giustina M, Greene A, Gross JA, Harrigan MP, Harrington SD, Hilton J, Hong S, Huang T, Huggins WJ, Ioffe LB, Isakov SV, Jeffrey E, Jiang Z, Kafri D, Kechedzhi K, Khattar T, Kim S, Klimov PV, Korotkov AN, Kostritsa F, Landhuis D, Laptev P, Locharla A, Lucero E, Martin O, McClean JR, McEwen M, Miao KC, Mohseni M, Montazeri S, Mruczkiewicz W, Mutus J, Naaman O, Neeley M, Neill C, Niu MY, O'Brien TE, Opremcak A, Pató B, Petukhov A, Rubin NC, Sank D, Shvarts V, Strain D, Szalay M, Villalonga B, White TC, Yao Z, Yeh P, Yoo J, Zalcman A, Neven H, Boixo S, Megrant A, Chen Y, Kelly J, Smelyanskiy V, Kitaev A, Knap M, Pollmann F, Roushan P. Realizing topologically ordered states on a quantum processor. Science 2021; 374:1237-1241. [PMID: 34855491 DOI: 10.1126/science.abi8378] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
[Figure: see text].
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Affiliation(s)
| | - Y-J Liu
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany
| | - A Smith
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK.,Centre for the Mathematics and Theoretical Physics of Quantum Non-Equilibrium Systems, University of Nottingham, Nottingham NG7 2RD, UK
| | - C Knapp
- Department of Physics and Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA.,Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, USA
| | - M Newman
- Google Quantum AI, Mountain View, CA, USA
| | - C Jones
- Google Quantum AI, Mountain View, CA, USA
| | - Z Chen
- Google Quantum AI, Mountain View, CA, USA
| | - C Quintana
- Google Quantum AI, Mountain View, CA, USA
| | - X Mi
- Google Quantum AI, Mountain View, CA, USA
| | | | - C Gidney
- Google Quantum AI, Mountain View, CA, USA
| | - I Aleiner
- Google Quantum AI, Mountain View, CA, USA
| | - F Arute
- Google Quantum AI, Mountain View, CA, USA
| | - K Arya
- Google Quantum AI, Mountain View, CA, USA
| | - J Atalaya
- Google Quantum AI, Mountain View, CA, USA
| | - R Babbush
- Google Quantum AI, Mountain View, CA, USA
| | - J C Bardin
- Google Quantum AI, Mountain View, CA, USA.,Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - R Barends
- Google Quantum AI, Mountain View, CA, USA
| | - J Basso
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Bilmes
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Quantum AI, Mountain View, CA, USA
| | - B Burkett
- Google Quantum AI, Mountain View, CA, USA
| | - N Bushnell
- Google Quantum AI, Mountain View, CA, USA
| | - B Chiaro
- Google Quantum AI, Mountain View, CA, USA
| | - R Collins
- Google Quantum AI, Mountain View, CA, USA
| | - W Courtney
- Google Quantum AI, Mountain View, CA, USA
| | - S Demura
- Google Quantum AI, Mountain View, CA, USA
| | - A R Derk
- Google Quantum AI, Mountain View, CA, USA
| | - D Eppens
- Google Quantum AI, Mountain View, CA, USA
| | - C Erickson
- Google Quantum AI, Mountain View, CA, USA
| | - L Faoro
- Laboratoire de Physique Theorique et Hautes Energies, Sorbonne Université, 75005 Paris, France
| | - E Farhi
- Google Quantum AI, Mountain View, CA, USA
| | - A G Fowler
- Google Quantum AI, Mountain View, CA, USA
| | - B Foxen
- Google Quantum AI, Mountain View, CA, USA
| | - M Giustina
- Google Quantum AI, Mountain View, CA, USA
| | - A Greene
- Google Quantum AI, Mountain View, CA, USA.,Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - J A Gross
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - J Hilton
- Google Quantum AI, Mountain View, CA, USA
| | - S Hong
- Google Quantum AI, Mountain View, CA, USA
| | - T Huang
- Google Quantum AI, Mountain View, CA, USA
| | | | - L B Ioffe
- Google Quantum AI, Mountain View, CA, USA
| | - S V Isakov
- Google Quantum AI, Mountain View, CA, USA
| | - E Jeffrey
- Google Quantum AI, Mountain View, CA, USA
| | - Z Jiang
- Google Quantum AI, Mountain View, CA, USA
| | - D Kafri
- Google Quantum AI, Mountain View, CA, USA
| | | | - T Khattar
- Google Quantum AI, Mountain View, CA, USA
| | - S Kim
- Google Quantum AI, Mountain View, CA, USA
| | - P V Klimov
- Google Quantum AI, Mountain View, CA, USA
| | - A N Korotkov
- Google Quantum AI, Mountain View, CA, USA.,Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | - D Landhuis
- Google Quantum AI, Mountain View, CA, USA
| | - P Laptev
- Google Quantum AI, Mountain View, CA, USA
| | - A Locharla
- Google Quantum AI, Mountain View, CA, USA
| | - E Lucero
- Google Quantum AI, Mountain View, CA, USA
| | - O Martin
- Google Quantum AI, Mountain View, CA, USA
| | | | - M McEwen
- Google Quantum AI, Mountain View, CA, USA.,Department of Physics, University of California, Santa Barbara, CA, USA
| | - K C Miao
- Google Quantum AI, Mountain View, CA, USA
| | - M Mohseni
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - J Mutus
- Google Quantum AI, Mountain View, CA, USA
| | - O Naaman
- Google Quantum AI, Mountain View, CA, USA
| | - M Neeley
- Google Quantum AI, Mountain View, CA, USA
| | - C Neill
- Google Quantum AI, Mountain View, CA, USA
| | - M Y Niu
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Opremcak
- Google Quantum AI, Mountain View, CA, USA
| | - B Pató
- Google Quantum AI, Mountain View, CA, USA
| | - A Petukhov
- Google Quantum AI, Mountain View, CA, USA
| | - N C Rubin
- Google Quantum AI, Mountain View, CA, USA
| | - D Sank
- Google Quantum AI, Mountain View, CA, USA
| | - V Shvarts
- Google Quantum AI, Mountain View, CA, USA
| | - D Strain
- Google Quantum AI, Mountain View, CA, USA
| | - M Szalay
- Google Quantum AI, Mountain View, CA, USA
| | | | - T C White
- Google Quantum AI, Mountain View, CA, USA
| | - Z Yao
- Google Quantum AI, Mountain View, CA, USA
| | - P Yeh
- Google Quantum AI, Mountain View, CA, USA
| | - J Yoo
- Google Quantum AI, Mountain View, CA, USA
| | - A Zalcman
- Google Quantum AI, Mountain View, CA, USA
| | - H Neven
- Google Quantum AI, Mountain View, CA, USA
| | - S Boixo
- Google Quantum AI, Mountain View, CA, USA
| | - A Megrant
- Google Quantum AI, Mountain View, CA, USA
| | - Y Chen
- Google Quantum AI, Mountain View, CA, USA
| | - J Kelly
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Kitaev
- Google Quantum AI, Mountain View, CA, USA.,Department of Physics and Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA.,Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, USA
| | - M Knap
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany.,Institute for Advanced Study, Technical University of Munich, 85748 Garching, Germany
| | - F Pollmann
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany
| | - P Roushan
- Google Quantum AI, Mountain View, CA, USA
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25
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Chen X, Li J, Yang Y, Yao Z, Tu Z, Liao S, Zhu Q, Li P. Suprafascial plane endoscopy versus open carpal tunnel release for idiopathic carpal tunnel syndrome: Use of the Accordion Severity Grading System. Hand Surg Rehabil 2021; 41:113-118. [PMID: 34774842 DOI: 10.1016/j.hansur.2021.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 07/03/2021] [Accepted: 11/04/2021] [Indexed: 12/31/2022]
Abstract
This study aimed to assess the safety and effectiveness of modified endoscopic technique with a single portal from an external carpal tunnel approach for surgical operations in a suprafascial plane superficial to the transverse carpal ligament. Reversible nerve injury risk is threefold greater with a conventional endoscopic method than with open carpal tunnel release (OCTR), and this suprafascial plane endoscopic release (SPER) should circumvent the problem of hardware in the carpal tunnel encountered with the conventional endoscopic method and liable to cause iatrogenic damage to the median nerve. However, the surgical consequences of the new technique have not been studied. To fill this gap, a retrospective therapeutic study was conducted to compare negative outcomes versus open surgery. The Accordion Severity Grading System was used to grade complications from 0 to 3 according to necessity of treatment. Sequela and failure rates were also compared between the SPER and OCTR groups. Eighty-eight cases in 72 patients with idiopathic carpal tunnel syndrome (ICTS) met the inclusion criteria. SPER was performed in 28 hands in 27 patients, and OCTR in 60 hands in 49 patients. The results showed no significant difference in complication, sequela, or failure rates between groups (p > 0.05). Suprafascial plane endoscopic release, has certain advantages over the open method and was validated as a safe and effective method of treating ICTS.
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Affiliation(s)
- X Chen
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China; Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Orthopaedic Research Institute, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - J Li
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Y Yang
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Z Yao
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Z Tu
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - S Liao
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Q Zhu
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China; Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Orthopaedic Research Institute, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China.
| | - P Li
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China.
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Yao Z, Liang G, Lv ZL, Lan LC, Zhu FL, Tang Q, Huang L, Chen XQ, Yang MX, Shan QW. Taurine Reduces Liver Damage in Non-Alcoholic Fatty Liver Disease Model in Rats by Down-Regulating IL-9 and Tumor Growth Factor TGF-β. Bull Exp Biol Med 2021; 171:638-643. [PMID: 34617180 DOI: 10.1007/s10517-021-05285-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Indexed: 02/08/2023]
Abstract
The study employed a rat model to examine the effects of taurine (Tau) on prevention and therapy of non-alcoholic fatty liver disease (NAFLD). In model rats maintained on a high-fat diet (HFD), the serum levels of ALT, AST, triglycerides, cholesterol, and LDL were higher than the corresponding levels in normal control and NP groups (p<0.05). In Tau-prevention and Tau-treatment groups, the serum levels of AST and triglycerides were lower than in HFD rats (p<0.05). In HFD rats, diffuse fatty degeneration and infiltration with inflammatory cells was observed in the liver; in the ileal mucosa, the villi were fractured or absent, the epithelium was exfoliated and infiltrated with inflammatory cells. The levels of TGF-β, IL-9, and their mRNA in the liver and ileal mucosa of HFD rats were significantly higher than in normal control and NP groups (p<0.05). In Tau-prevention and Tau-treatment groups, these levels were significantly lower than in HFD rats (p<0.05). Thus, TGF-β and IL-9 can be implicated in NAFLD genesis, while Tau can preventively or therapeutically diminish the damage to the liver and ileal mucosa in rats with this disease by down-regulating the expression of TGF-β and IL-9.
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Affiliation(s)
- Z Yao
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - G Liang
- Department of Pathophysiology, Basic Medicine College of Guangxi Medical University, Nanning, China
| | - Z L Lv
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - L C Lan
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - F L Zhu
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Q Tang
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - L Huang
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - X Q Chen
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - M X Yang
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Q W Shan
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
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27
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Muntoni F, Signorovitch J, Sajeev G, Done N, Yao Z, Goemans N, McDonald C, Mercuri E, Niks E, Wong B, Servais L, Straub V, de Groot I, Tian C, Manzur A, Vandenborne K, Dieye I, Lane H, Ward S. DMD/BMD – OUTCOME MEASURES. Neuromuscul Disord 2021. [DOI: 10.1016/j.nmd.2021.07.150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Huang L, Yao Z, Zhang J. Two cases of pityriasis rosea after the injection of coronavirus disease 2019 vaccine. J Eur Acad Dermatol Venereol 2021; 36:e9-e11. [PMID: 34492136 PMCID: PMC8657324 DOI: 10.1111/jdv.17648] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 08/26/2021] [Indexed: 01/13/2023]
Affiliation(s)
- L Huang
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - J Zhang
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
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29
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Yin L, Yao Z, Wang Y, Huang YH, Mazuranic M, Yin A. 4MO Preclinical evaluation of novel CDK4/6 inhibitor GLR2007 in breast and lung cancer models. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.282] [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: 10/20/2022] Open
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Abstract
Through precursor-directed biosynthesis, feeding halogenated (F-, Cl-, Br-, I-) or methoxy-substituted 4-methyl-3-hydroxyanthranilic acid (4-MHA) analogues to the acnGHLM-deleted mutant strain of Streptomyces costaricanus SCSIO ZS0073 led to the production of ten new actinomycin analogues (4-13). Several of the actinomycin congeners displayed impressive antimicrobial activities, with MIC values spanning 0.06-64 μg/mL to clinically derived antibiotic resistant pathogens, including Staphylococcus aureus, Enterococcus faecium, and Candida albicans, with low cytotoxicity.
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Affiliation(s)
- Ziwei Yao
- CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Key Laboratory of Marine Materia Medica, RNAM Center for Marine Microbiology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, People's Republic of China
- College of Oceanology, University of Chinese Academy of Sciences, 19 Yuquan Road, Beijing 100049, People's Republic of China
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), No. 1119, Haibin Rd., Nansha District, Guangzhou 510301, People's Republic of China
| | - Changli Sun
- CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Key Laboratory of Marine Materia Medica, RNAM Center for Marine Microbiology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, People's Republic of China
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), No. 1119, Haibin Rd., Nansha District, Guangzhou 510301, People's Republic of China
| | - Yuhui Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou 510060, People's Republic of China
| | - Fang Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou 510060, People's Republic of China
| | - Liwu Fu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou 510060, People's Republic of China
| | - Junying Ma
- CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Key Laboratory of Marine Materia Medica, RNAM Center for Marine Microbiology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, People's Republic of China
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), No. 1119, Haibin Rd., Nansha District, Guangzhou 510301, People's Republic of China
| | - Qinglian Li
- CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Key Laboratory of Marine Materia Medica, RNAM Center for Marine Microbiology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, People's Republic of China
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), No. 1119, Haibin Rd., Nansha District, Guangzhou 510301, People's Republic of China
| | - Jianhua Ju
- CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong Key Laboratory of Marine Materia Medica, RNAM Center for Marine Microbiology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, People's Republic of China
- College of Oceanology, University of Chinese Academy of Sciences, 19 Yuquan Road, Beijing 100049, People's Republic of China
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), No. 1119, Haibin Rd., Nansha District, Guangzhou 510301, People's Republic of China
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31
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Yao Z, Bao B, Qian S, Li Z, Lu Q, Min S, Li M, Wang H. [Correlation of serum ADAMTS13 and TSP1 levels with myocardial injury and prognosis in patients with acute coronary syndrome]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:710-715. [PMID: 34134958 DOI: 10.12122/j.issn.1673-4254.2021.05.11] [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 investigate serum levels of von Willebrand factor lytic protease (ADAMTS13) and thrombospondin-1 (TSP1) in patients with different types of acute coronary syndrome (ACS) and their correlation with the patients' clinical prognosis. OBJECTIVE According to their disease history, results of angiography and clinical biochemical tests, a total of 405 patients undergoing coronary angiography, were divided into unstable angina (UAP) group (n=215), acute myocardial infarction (AMI) group (n=96), and angiographically normal group (n=94). Serum ADAMTS13 and TSP1 levels were detected in all the patients, who were followed up for 15 months to evaluate the occurrence of long-term major cardiac adverse events (MACE). OBJECTIVE Serum ADAMTS13 level was significantly lower and TSP1 level was significantly higher in AMI group and UAP group than in the normal group (P < 0.001). Serum ADAMTS13 and TSP1 levels were negative correlated in ACS patients (R=-0.577, P < 0.001). The patients experiencing MACE had significantly different serum TSP1 level from those without MACE (P < 0.05). Cox proportion regression model analysis showed that TSP1 was a risk factor affecting the occurrence of MACE in ACS patients; Kaplan-Meier survival analysis showed that the patients with high levels of TSP1 had a higher incidence of longterm MACE than those with low TSP1 levels. OBJECTIVE A lowered serum ADAMTS13 level and an elevated TSP1 level can support the diagnosis of ACS. An elevated TSP1 level may serve as an indicator for predicting the risk of MACE in patients with ACS.
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Affiliation(s)
- Z Yao
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - B Bao
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - S Qian
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - Z Li
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - Q Lu
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - S Min
- Anhui Clinical and Preclinical Key Laboratory of Respiratory Disease, Bengbu 233000, China
| | - M Li
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - H Wang
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
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Shengming J, Yu W, Junlong W, Chengyuan G, Wenqi G, Bing L, Yao Z, Dingwei Y. The germline mutation landscape of cancer susceptibility genes in Chinese patients with upper tract urothelial carcinoma. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01149-0] [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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33
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Tripathi P, Kim M, Sokkam H, Rock J, Howell M, Jansen B, Yao Z. 073 A non-invasive genomic test for early assessment of UV damage in human skin. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.090] [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: 11/15/2022]
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34
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Pan C, Humbatova A, Zheng L, Cesarato N, Grimm C, Chen F, Blaumeiser B, Catalán-Lambán A, Patiño-García A, Fischer U, Cheng R, Li Y, Yu X, Yao Z, Li M, Betz RC. Additional causal SNRPE mutations in hereditary hypotrichosis simplex. Br J Dermatol 2021; 185:439-441. [PMID: 33792916 DOI: 10.1111/bjd.20089] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/24/2021] [Accepted: 03/26/2021] [Indexed: 11/30/2022]
Affiliation(s)
- C Pan
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - A Humbatova
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - L Zheng
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - N Cesarato
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - C Grimm
- Department of Biochemistry, University of Würzburg, Würzburg, Germany
| | - F Chen
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - B Blaumeiser
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - A Catalán-Lambán
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain
| | - A Patiño-García
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain
| | - U Fischer
- Department of Biochemistry, University of Würzburg, Würzburg, Germany
| | - R Cheng
- Department of Dermatology, Xinhua Hospital, Shanghai, China
| | - Y Li
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - X Yu
- Department of Dermatology, Xinhua Hospital, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Center for Rare Diseases Diagnosis, Shanghai, China
| | - R C Betz
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
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35
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Pan Z, Huang M, Huang J, Lin Z, Yao Z. P10.03 Health Insurance Coverage and Racial Disparities in Early-Stage Detection and Treatment of Lung Cancer: A Causal Mediation Analysis. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.492] [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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36
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Jin T, Ge M, Huang R, Yang Y, Liu T, Zhan Q, Yao Z, Zhang H. Utility of Contrast-Enhanced T2 FLAIR for Imaging Brain Metastases Using a Half-dose High-Relaxivity Contrast Agent. AJNR Am J Neuroradiol 2021; 42:457-463. [PMID: 33361381 DOI: 10.3174/ajnr.a6931] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/04/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Efficient detection of metastases is important for patient' treatment. This prospective study was to explore the clinical value of contrast-enhanced T2 FLAIR in imaging brain metastases using half-dose gadobenate dimeglumine. MATERIALS AND METHODS In vitro signal intensity of various gadolinium concentrations was explored by spin-echo T1-weighted imaging and T2 FLAIR. Then, 46 patients with lung cancer underwent nonenhanced T2 FLAIR before administration of half-dose gadobenate dimeglumine and 3 consecutive contrast-enhanced T2 FLAIR sequences followed by 1 spin-echo T1WI after administration of half-dose gadobenate dimeglumine. After an additional dose of 0.05 mmol/kg, 3D brain volume imaging was performed. All brain metastases were classified as follows: solid-enhancing, ≥ 5 mm (group A); ring-enhancing, ≥ 5 mm (group B); and lesion diameter of <5 mm (group C). The contrast ratio of the lesions on 3 consecutive phases of contrast-enhanced T2 FLAIR was measured, and the percentage increase of contrast-enhanced T2 FLAIR among the 3 groups was compared. RESULTS In vitro, the maximal signal intensity was achieved in T2 FLAIR at one-eighth to one-half of the contrast concentration needed for maximal signal intensity in T1WI. In vivo, the mean contrast ratio values of metastases on contrast-enhanced T2 FLAIR for the 3 consecutive phases ranged from 63.64% to 83.05%. The percentage increase (PI) values of contrast-enhanced T2 FLAIR were as follows: PIA < PIB (P = .001) and PIA < PIC (P < .001). The degree of enhancement of brain metastases on contrast-enhanced T2 FLAIR was lower than on 3D brain volume imaging (P < .001) in group A, and higher than on 3D brain volume imaging (P < .001) in group C. CONCLUSIONS Small or ring-enhancing metastases can be better visualized on delayed contrast-enhanced T2 FLAIR using a half-dose high-relaxivity contrast agent.
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Affiliation(s)
- T Jin
- From the Department of Radiology (T.J.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - M Ge
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - R Huang
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - Y Yang
- Department of Oncology (Y.Y.), Huashan North Hospital, Fudan University, Shanghai, China
| | - T Liu
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - Q Zhan
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - Z Yao
- Radiology (Z.Y.), Huashan Hospital, Fudan University, Shanghai, China
| | - H Zhang
- Department of Radiology (H.Z.), The Affiliated Hospital of Qingdao University, Qingdao, China
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Qi Y, He Z, Yuan J, Ma X, Du J, Yao Z, Wang W. Comprehensive evaluation of organophosphate ester contamination in surface water and sediment of the Bohai Sea, China. Mar Pollut Bull 2021; 163:112013. [PMID: 33454638 DOI: 10.1016/j.marpolbul.2021.112013] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [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: 09/12/2020] [Revised: 12/28/2020] [Accepted: 12/29/2020] [Indexed: 06/12/2023]
Abstract
This study investigated the occurrence and profile of 14 organophosphate esters (OPEs) in surface water and sediment of the whole Bohai Sea. A total of 53 pairs of surface water and sediment samples were collected and the contained OPEs were quantified using a gas chromatography-mass spectrometry (GC-MS). The average concentrations of OPEs in surface water and sediment were in the range of 0-92.9 ng/L and 0.001-8.58 ng/g dry weight (dw), respectively, with tri (2-chloroethyl) phosphate (TCEP) as the predominant congener in both compartments. The total concentrations of 14 OPEs (∑14OPEs) in surface water and sediment were in the range of 10.9-516.4 ng/L and 1.42-52.9 ng/g dw, respectively. The inventories of ∑14OPEs were calculated to be 179.3 tons in the water and 101.5 tons in the sediment. Based on the risk quotients (RQs), the ecological risks of OPEs to the aquatic organisms in the Bohai Sea were considered to be negligible.
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Affiliation(s)
- Yanjie Qi
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Zhuoshi He
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jingjing Yuan
- Henan Institute of Metrology, Zhengzhou 450000, China
| | - Xindong Ma
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China.
| | - Jinqiu Du
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Ziwei Yao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Wenfeng Wang
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA.
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38
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Zhang J, Qin W, Hua S, Li M, Tang Y, Yao Z. Café au lait macules overlying segmental macular hyperpigmentation in a paediatric patient: an early sign for mosaic neurofibromatosis type 1. Br J Dermatol 2020; 184:742-743. [PMID: 33169837 DOI: 10.1111/bjd.19659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 10/24/2020] [Accepted: 10/25/2020] [Indexed: 12/15/2022]
Affiliation(s)
- J Zhang
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - W Qin
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, China
| | - S Hua
- Department of Dermatology, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Tang
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
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39
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Pan Z, Huang M, Huang J, Yao Z. The association between napping and the risk of cardiovascular disease and all-cause mortality: a systematic review and dose-response meta-analysis. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2818] [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: 11/12/2022] Open
Abstract
Abstract
Background
Napping is a habit prevalent worldwide and occurs from an early age. Some sleep specialists have suggested it as a potential public health tool due to the prevalence of sleep disorder. However, the association between napping and the risk of cardiovascular disease (CVD) and all-cause mortality remains unclear.
Purpose
To assess the association between napping and the risk of CVD and all-cause mortality.
Methods
We conducted a systematic search of Medline, Embase and Cochrane databases from inception through December 2019 for prospective cohort studies investigating the association between napping and the risk of CVD and/or all-cause mortality. Overall estimates were calculated using random effect models with inverse variance weighting. Dose-response meta-analysis was performed using restricted cubic spline models. The results were reported as hazard ratio (HR) and 95% confidence interval (CI).
Results
A total of 313651 participants (57.8% female, 38.9% took naps) from 20 cohort studies were included in the analysis. Overall, pooled analysis detected no association between daytime nap and CVD (HR 1.13, 95% CI 0.99–1.28). However, in subgroup analysis including only participants who were female (HR 1.31, 95% CI 1.09–1.58), older (age>65 years) (HR 1.36, 95% CI 1.07–1.72), or took a longer nap (nap time>60 minutes) (HR 1.34, 95% CI 1.05–1.63), napping was significantly associated with a higher risk of CVD comparing to not napping. All-cause mortality was associated with napping overall (HR 1.19, 95% CI 1.12–1.26), and effect sizes were even more pronounced in females (HR 1.22, 95% CI 1.13–1.31), older participants (HR 1.27, 95% CI 1.11–1.45) and those who took a long nap (HR 1.30, 95% CI 1.12–1.47). Furthermore, after stratifying participants by night sleep time (<6 and >6h/day), no significant association was detected except those who slept >6h/day at night and took a long nap (HR 1.13, 95% CI 1.03–1.24). Dose-response analysis showed a J-curve relation between nap time and CVD (Figure 1). The HR decreased from 0 to 25 min/day, followed by a sharp increase in the risk at longer times. A positive linear relationship between nap time and all-cause mortality was also observed.
Conclusion
Long napping over 60 minutes per day is associated with increased risks of CVD and all-cause mortality. Night sleep duration may play a role in the relation between napping and all-cause mortality. Further, large-scale prospective cohort studies need to confirm our conclusion and investigate the underlying mechanisms driving these associations.
Funding Acknowledgement
Type of funding source: None
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Affiliation(s)
- Z Pan
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| | - M Huang
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| | - J Huang
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| | - Z Yao
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
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Zhang J, Qin W, Hua S, Li M, Tang Y, Yao Z. Café-au-lait macules overlying segmental macular hyperpigmentation in a pediatric patient: an early sign for mosaic neurofibromatosis type 1. Br J Dermatol 2020. [PMID: 33113159 DOI: 10.1111/bjd.19633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The presentation of multiple café-au-lait macules (CALMs) in children is a common reason for referral to a dermatologist. Segmental CALMs, a subtype of CALMs, is usually limited to a specific part of the body. Mosaic neurofibromatosis type 1 (NF1; OMIM 162200) is a common congenital disorder associated with segmental CALMs with an incidence of about 1 case/40000 patients, which is lower than the prevalence of patients with germline NF1 mutations1,2 .
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Affiliation(s)
- J Zhang
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - W Qin
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, P. R. China
| | - S Hua
- Department of dermatology, Shanghai Children's hospital, Shanghai JiaoTong University, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Tang
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, P. R. China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Qi Y, Liu X, Wang Z, Yao Z, Yao W, Shangguan K, Li M, Ming H, Ma X. Comparison of receptor models for source identification of organophosphate esters in major inflow rivers to the Bohai Sea, China. Environ Pollut 2020; 265:114970. [PMID: 32806447 DOI: 10.1016/j.envpol.2020.114970] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [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: 02/17/2020] [Revised: 05/25/2020] [Accepted: 06/04/2020] [Indexed: 06/11/2023]
Abstract
A better understanding of the sources of organophosphate esters (OPEs) is a prerequisite for OPE control and the establishment of related environmental policies. Sources of OPEs in 35 major inflow rivers to the Bohai Sea of China were quantitatively analyzed using three effective receptor models (principal component analysis-multiple linear regression (PCA-MLR), positive matrix factorization (PMF), and Unmix) in this paper. The similarities and differences in results from PCA-MLR, PMF, and Unmix were discussed in depth. All three models well predicted the spatial variability of the total concentrations of nine OPEs (triethyl phosphate, tri-n-butyl phosphate, triisobutyl phosphate, tri (2-ethylhexyl) phosphate, tri (2-chloroethyl) phosphate, tris(1-chloro-2-propyl) phosphate, tris(1,3-dichloro-2-propyl) phosphate, triphenyl phosphate, and triphenylphosphine oxide) (∑9OPEs) (r2 = 0.90-0.96, p = 0.000) and explained 98.4%-101.2% of the observed ∑9OPEs. The predicted ∑9OPEs values from each pairwise model were significantly correlated (r2 = 0.88-0.91, p = 0.000). Three OPE sources were extracted by all three models: rigid and flexible polyurethane foam/coating, cellulosic/acrylic/vinyl polymer/unsaturated polyester, and polyvinyl chloride, contributing 49.9%, 29.7%, and 20.5% by PCA-MLR, 57.9%, 28.6%, and 13.5% by PMF, and 47.9%, 30.8%, and 22.4% by Unmix to the ∑9OPEs, respectively. PMF was recommended as the preferred receptor model for analyzing OPE sources in water during the monitoring period because of its optimal performance.
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Affiliation(s)
- Yanjie Qi
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Xing Liu
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Zhen Wang
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Ziwei Yao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Wenjun Yao
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Kuixing Shangguan
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Minghao Li
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Hongxia Ming
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China
| | - Xindong Ma
- State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian, 116023, China.
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Foxen B, Neill C, Dunsworth A, Roushan P, Chiaro B, Megrant A, Kelly J, Chen Z, Satzinger K, Barends R, Arute F, Arya K, Babbush R, Bacon D, Bardin JC, Boixo S, Buell D, Burkett B, Chen Y, Collins R, Farhi E, Fowler A, Gidney C, Giustina M, Graff R, Harrigan M, Huang T, Isakov SV, Jeffrey E, Jiang Z, Kafri D, Kechedzhi K, Klimov P, Korotkov A, Kostritsa F, Landhuis D, Lucero E, McClean J, McEwen M, Mi X, Mohseni M, Mutus JY, Naaman O, Neeley M, Niu M, Petukhov A, Quintana C, Rubin N, Sank D, Smelyanskiy V, Vainsencher A, White TC, Yao Z, Yeh P, Zalcman A, Neven H, Martinis JM. Demonstrating a Continuous Set of Two-Qubit Gates for Near-Term Quantum Algorithms. Phys Rev Lett 2020; 125:120504. [PMID: 33016760 DOI: 10.1103/physrevlett.125.120504] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 06/27/2020] [Accepted: 07/22/2020] [Indexed: 06/11/2023]
Abstract
Quantum algorithms offer a dramatic speedup for computational problems in material science and chemistry. However, any near-term realizations of these algorithms will need to be optimized to fit within the finite resources offered by existing noisy hardware. Here, taking advantage of the adjustable coupling of gmon qubits, we demonstrate a continuous two-qubit gate set that can provide a threefold reduction in circuit depth as compared to a standard decomposition. We implement two gate families: an imaginary swap-like (iSWAP-like) gate to attain an arbitrary swap angle, θ, and a controlled-phase gate that generates an arbitrary conditional phase, ϕ. Using one of each of these gates, we can perform an arbitrary two-qubit gate within the excitation-preserving subspace allowing for a complete implementation of the so-called Fermionic simulation (fSim) gate set. We benchmark the fidelity of the iSWAP-like and controlled-phase gate families as well as 525 other fSim gates spread evenly across the entire fSim(θ,ϕ) parameter space, achieving a purity-limited average two-qubit Pauli error of 3.8×10^{-3} per fSim gate.
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Affiliation(s)
- B Foxen
- Department of Physics, University of California, Santa Barbara, California 93106, USA
- Google Research, Santa Barbara, California 93117, USA
| | - C Neill
- Google Research, Santa Barbara, California 93117, USA
| | - A Dunsworth
- Google Research, Santa Barbara, California 93117, USA
| | - P Roushan
- Google Research, Santa Barbara, California 93117, USA
| | - B Chiaro
- Department of Physics, University of California, Santa Barbara, California 93106, USA
| | - A Megrant
- Google Research, Santa Barbara, California 93117, USA
| | - J Kelly
- Google Research, Santa Barbara, California 93117, USA
| | - Zijun Chen
- Google Research, Santa Barbara, California 93117, USA
| | - K Satzinger
- Google Research, Santa Barbara, California 93117, USA
| | - R Barends
- Google Research, Santa Barbara, California 93117, USA
| | - F Arute
- Google Research, Santa Barbara, California 93117, USA
| | - K Arya
- Google Research, Santa Barbara, California 93117, USA
| | - R Babbush
- Google Research, Santa Barbara, California 93117, USA
| | - D Bacon
- Google Research, Santa Barbara, California 93117, USA
| | - J C Bardin
- Google Research, Santa Barbara, California 93117, USA
- Department of Electrical and Computer Engineering, University of Massachusetts-Amherst, Amherst, Massachusetts 01003, USA
| | - S Boixo
- Google Research, Santa Barbara, California 93117, USA
| | - D Buell
- Google Research, Santa Barbara, California 93117, USA
| | - B Burkett
- Google Research, Santa Barbara, California 93117, USA
| | - Yu Chen
- Google Research, Santa Barbara, California 93117, USA
| | - R Collins
- Google Research, Santa Barbara, California 93117, USA
| | - E Farhi
- Google Research, Santa Barbara, California 93117, USA
| | - A Fowler
- Google Research, Santa Barbara, California 93117, USA
| | - C Gidney
- Google Research, Santa Barbara, California 93117, USA
| | - M Giustina
- Google Research, Santa Barbara, California 93117, USA
| | - R Graff
- Google Research, Santa Barbara, California 93117, USA
| | - M Harrigan
- Google Research, Santa Barbara, California 93117, USA
| | - T Huang
- Google Research, Santa Barbara, California 93117, USA
| | - S V Isakov
- Google Research, Santa Barbara, California 93117, USA
| | - E Jeffrey
- Google Research, Santa Barbara, California 93117, USA
| | - Z Jiang
- Google Research, Santa Barbara, California 93117, USA
| | - D Kafri
- Google Research, Santa Barbara, California 93117, USA
| | - K Kechedzhi
- Google Research, Santa Barbara, California 93117, USA
| | - P Klimov
- Google Research, Santa Barbara, California 93117, USA
| | - A Korotkov
- Google Research, Santa Barbara, California 93117, USA
| | - F Kostritsa
- Google Research, Santa Barbara, California 93117, USA
| | - D Landhuis
- Google Research, Santa Barbara, California 93117, USA
| | - E Lucero
- Google Research, Santa Barbara, California 93117, USA
| | - J McClean
- Google Research, Santa Barbara, California 93117, USA
| | - M McEwen
- Department of Physics, University of California, Santa Barbara, California 93106, USA
| | - X Mi
- Google Research, Santa Barbara, California 93117, USA
| | - M Mohseni
- Google Research, Santa Barbara, California 93117, USA
| | - J Y Mutus
- Google Research, Santa Barbara, California 93117, USA
| | - O Naaman
- Google Research, Santa Barbara, California 93117, USA
| | - M Neeley
- Google Research, Santa Barbara, California 93117, USA
| | - M Niu
- Google Research, Santa Barbara, California 93117, USA
| | - A Petukhov
- Google Research, Santa Barbara, California 93117, USA
| | - C Quintana
- Google Research, Santa Barbara, California 93117, USA
| | - N Rubin
- Google Research, Santa Barbara, California 93117, USA
| | - D Sank
- Google Research, Santa Barbara, California 93117, USA
| | - V Smelyanskiy
- Google Research, Santa Barbara, California 93117, USA
| | - A Vainsencher
- Google Research, Santa Barbara, California 93117, USA
| | - T C White
- Google Research, Santa Barbara, California 93117, USA
| | - Z Yao
- Google Research, Santa Barbara, California 93117, USA
| | - P Yeh
- Google Research, Santa Barbara, California 93117, USA
| | - A Zalcman
- Google Research, Santa Barbara, California 93117, USA
| | - H Neven
- Google Research, Santa Barbara, California 93117, USA
| | - J M Martinis
- Department of Physics, University of California, Santa Barbara, California 93106, USA
- Google Research, Santa Barbara, California 93117, USA
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Ma S, Shao S, Yang C, Yao Z, Gao L, Chen W. A preliminary study: proteomic analysis of exosomes derived from thyroid-stimulating hormone-stimulated HepG2 cells. J Endocrinol Invest 2020; 43:1229-1238. [PMID: 32166700 DOI: 10.1007/s40618-020-01210-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 03/02/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Thyroid-stimulating hormone (TSH) plays an important role in the regulation of lipid metabolism. However, little is known about the role that exosomes play in the process of TSH-induced lipotoxicity in non-alcoholic fatty liver disease (NAFLD). As a preliminary step, the present study set out to investigate alterations in protein expression in exosomes derived from TSH-stimulated HepG2 cells. METHODS HepG2 cells were treated with TSH, exosomes were collected, and proteins were identified by mass spectrometry (MS). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis were performed to analyze the identified proteins. RESULTS TSH treatment significantly increased exosomal production and changed the exosomal proteomic profile in HepG2 cells. Among the 1728 proteins, 140 identified proteins were upregulated and seven proteins were downregulated. GO analysis and KEGG analysis revealed that these proteins were involved in multiple processes including metabolism, apoptosis, and inflammation. CONCLUSION Our preliminary study demonstrated that exosomes derived from TSH-stimulated hepatocytes were increased and showed a specific altered spectrum of proteins, many of which were involved in metabolism, signal transduction, apoptosis, and inflammation. This study offers new insights into the pathogenesis of TSH-induced lipotoxicity in NAFLD.
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Affiliation(s)
- S Ma
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - S Shao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - C Yang
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - Z Yao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - L Gao
- Scientific Center, Shandong Provincial Hospital Affiliated to, Shandong First Medical University, 324 Jing 5 Road, Jinan, 250021, Shandong, China.
- Scientific Center, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China.
| | - W Chen
- Scientific Center, Shandong Provincial Hospital Affiliated to, Shandong First Medical University, 324 Jing 5 Road, Jinan, 250021, Shandong, China.
- Scientific Center, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China.
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44
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Li Q, Ding W, Tu J, Chi C, Huang H, Ji X, Yao Z, Ma M, Ju J. Nonspecific Heme-Binding Cyclase, AbmU, Catalyzes [4 + 2] Cycloaddition during Neoabyssomicin Biosynthesis. ACS Omega 2020; 5:20548-20557. [PMID: 32832808 PMCID: PMC7439702 DOI: 10.1021/acsomega.0c02776] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 07/27/2020] [Indexed: 05/05/2023]
Abstract
Diels-Alder (DA) [4 + 2]-cycloaddition reactions rank among the most powerful transformations in synthetic organic chemistry; biosynthetic examples, however, are few and far between. We report here a heme-binding cyclase, AbmU, that catalyzes an essential [4 + 2] cycloaddition during neoabyssomicin scaffold assembly. In vivo genetic and in vitro biochemical analyses strongly suggest that AbmU catalyzes an intramolecular and stereoselective [4 + 2] cycloaddition to form a spirotetronate skeleton from an acyclic substrate featuring both a terminal 1,3-diene and an exo-methylene group. Biochemical assays and X-ray diffraction analyses reveal that AbmU binds nonspecifically to a heme b cofactor and that this association does not play a catalytic role in AbmU catalysis. A detailed study of the AbmU crystal structure reveals a unique mode of substrate binding and reaction catalysis; His160 forms a H-bond with the C-1 carbonyl O-atom of the acyclic substrate, and the imidazole of the same amino acid directs the tetronate moiety of acyclic substrate toward the terminal Δ10,11, Δ12,13-diene moiety, thereby facilitating intramolecular DA chemistry. Our findings expand upon what is known about mechanistic diversities available to biosynthetic [4 + 2] cyclases and help to lay the foundation for the use of AbmU in possible industrial applications.
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Affiliation(s)
- Qinglian Li
- CAS
Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong
Key Laboratory of Marine Materia
Medica, RNAM Center for Marine Microbiology, South China Sea Institute
of Oceanology, Chinese Academy of Sciences, 164 West Xingang Road, Guangzhou 510301, China
| | - Wenjuan Ding
- CAS
Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong
Key Laboratory of Marine Materia
Medica, RNAM Center for Marine Microbiology, South China Sea Institute
of Oceanology, Chinese Academy of Sciences, 164 West Xingang Road, Guangzhou 510301, China
- College
of Oceanology, University of Chinese Academy
of Sciences, 19 Yuquan
Road, Beijing 100049, China
| | - Jiajia Tu
- CAS
Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong
Key Laboratory of Marine Materia
Medica, RNAM Center for Marine Microbiology, South China Sea Institute
of Oceanology, Chinese Academy of Sciences, 164 West Xingang Road, Guangzhou 510301, China
| | - Changbiao Chi
- State
Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical
Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Hongbo Huang
- CAS
Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong
Key Laboratory of Marine Materia
Medica, RNAM Center for Marine Microbiology, South China Sea Institute
of Oceanology, Chinese Academy of Sciences, 164 West Xingang Road, Guangzhou 510301, China
| | - Xiaoqi Ji
- CAS
Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong
Key Laboratory of Marine Materia
Medica, RNAM Center for Marine Microbiology, South China Sea Institute
of Oceanology, Chinese Academy of Sciences, 164 West Xingang Road, Guangzhou 510301, China
- College
of Oceanology, University of Chinese Academy
of Sciences, 19 Yuquan
Road, Beijing 100049, China
| | - Ziwei Yao
- CAS
Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong
Key Laboratory of Marine Materia
Medica, RNAM Center for Marine Microbiology, South China Sea Institute
of Oceanology, Chinese Academy of Sciences, 164 West Xingang Road, Guangzhou 510301, China
- College
of Oceanology, University of Chinese Academy
of Sciences, 19 Yuquan
Road, Beijing 100049, China
| | - Ming Ma
- State
Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical
Sciences, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jianhua Ju
- CAS
Key Laboratory of Tropical Marine Bio-resources and Ecology, Guangdong
Key Laboratory of Marine Materia
Medica, RNAM Center for Marine Microbiology, South China Sea Institute
of Oceanology, Chinese Academy of Sciences, 164 West Xingang Road, Guangzhou 510301, China
- College
of Oceanology, University of Chinese Academy
of Sciences, 19 Yuquan
Road, Beijing 100049, China
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Chen J, Li C, Li H, Yu H, Zhang X, Yan M, Guo Y, Yao Z. Identification of a T H 2-high psoriasis cluster based on skin biomarker analysis in a Chinese psoriasis population. J Eur Acad Dermatol Venereol 2020; 35:150-158. [PMID: 32367566 DOI: 10.1111/jdv.16563] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 03/25/2020] [Accepted: 04/03/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Psoriasis is an immune-mediated, chronic inflammatory disease with diverse phenotypes. However, its biological diversity has not been well-characterized in Chinese psoriasis population. OBJECTIVES To characterize psoriasis biological heterogenicity using gene expression profiles of lesional skin biopsy specimens in a Chinese psoriasis population. METHODS Lesional tissues and blood samples from Chinese psoriasis patients (n = 40), atopic dermatitis (AD) patients (n = 25) and age-matched healthy controls (n = 19) were investigated by using real-time PCR array, histological evaluation and flow cytometry. Unsupervised hierarchical clustering was performed using gene expression profiles of patients with psoriasis. RESULTS Two distinct psoriasis clusters were identified. Both clusters indicated high TH 17 activation. One cluster (n = 6 of 40 consecutive psoriasis patients) indicated a strong TH 2 component in skin lesions, with early onset and low peripheral blood eosinophil level. Significantly higher IL-4, IL-13, IL-25, IL-31 and TSLP gene induction typified this cluster of psoriasis patients, even compared with AD patients. Both psoriasis clusters were characterized by neutrophilic microabscess formation. Histologically, the TH 2 high psoriasis cluster indicated a low percentage of perivascular eosinophils. CONCLUSIONS Two distinct psoriasis clusters were identified. One presented early onset and a low eosinophil level, indicating TH 17 polarization and a strong TH 2 component. These results laid the foundation for further demonstrating the pathogenesis of psoriasis in Chinese population.
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Affiliation(s)
- J Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Yu
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - X Zhang
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - M Yan
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Y Guo
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zang K, Zhang G, Xu X, Yao Z. Impact of air-sea exchange on the spatial distribution of atmospheric methane in the Dalian Bay and adjacent coastal area, China. Chemosphere 2020; 251:126412. [PMID: 32171132 DOI: 10.1016/j.chemosphere.2020.126412] [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: 01/13/2020] [Revised: 02/28/2020] [Accepted: 03/02/2020] [Indexed: 06/10/2023]
Abstract
To date, the impact of air-sea exchange on spatial distribution of atmospheric methane (CH4 hereafter) remains less understood in the coastal areas of China. Here we measured the dissolved and atmospheric CH4 in the Dalian Bay and adjacent area in July and August 2014, respectively. Results showed that the study area was a net significant source of atmospheric CH4, with a mean sea-to-air CH4 flux of 170.6 ± 149.5 μmol/(m2·day). We optimized a method to accurately quantify the elevated atmospheric CH4 mole fraction (△CH4 hereafter) caused by air-sea exchange. The calculated △CH4 in the study area ranged from 15.4 to 102.1 nmol/mol, 1.5-10.2 nmol/mol, and 0.03-0.22 nmol/mol at the mixing height of 1, 10, and 471 m, respectively. The △CH4 mole fractions caused by air-sea exchange were positive with sea-to-air CH4 flux and in situ observed atmospheric CH4 mole fraction, while negative with altitude. Under the standard conditions, we defined 50.8 μmol/(m2·day) as the criteria value of sea-to-air CH4 flux which could result in a detectable elevation atmospheric CH4 mole fraction at a height of 10 m.
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Affiliation(s)
- Kunpeng Zang
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Linghe Street 42, Dalian, 116023, China
| | - Gen Zhang
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Zhongguancun South Street, Beijing, 100081, China.
| | - Xuemei Xu
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Linghe Street 42, Dalian, 116023, China
| | - Ziwei Yao
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Linghe Street 42, Dalian, 116023, China
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Zhang C, Cui M, Xing J, Yang H, Yao Z, Zhang N, Su X. Clinicopathologic features and prognosis of synchronous and metachronous multiple primary colorectal cancer. Clin Transl Oncol 2020; 23:335-343. [PMID: 32592156 DOI: 10.1007/s12094-020-02426-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 06/10/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE Multiple primary colorectal cancers (MPCCs) are different from solitary colorectal cancers in many aspects, which are not well studied. The aim of this study was to clarify the clinicopathological features and prognosis of MPCCs. METHODS The data of 64 patients with MPCCs out of 2300 patients with colorectal cancers (CRCs) from January 2009 to December 2017 were retrospectively analyzed. Stratified analysis was conducted based on subtypes and microsatellite status. RESULTS The overall incidence of MPCC was 2.8% and the median follow-up duration was 51.5 (range 1-120) months. Metachronous CRCs (MCRCs) are more likely to appear in the right colon (p < 0.05). However, no significant differences regarding age, sex, BMI, tumor size, smoking/drinking history, TNM stage, family history of cancer, and 5-year survival rate were observed between synchronous CRC (SCRC) and MCRC. Advanced TNM stage (III) and the presence of polyps were found to be independent poor prognostic factors for MPCCs. The prevalence of mismatch repair deficiency (dMMR) in MPCCs was 28.1%. Deficient MMR is more likely to appear in younger, lighter MPCC patients with polyps (p < 0.05). Of four mismatch repair proteins, MLH-1, MSH-2, MSH-6, and PMS-2 were negative in nine, nine, five, and nine patients, respectively. The 5-year survival rate did not differ significantly between MMR-proficient (pMMR) and dMMR groups (p = 0.752). CONCLUSIONS Synchronous CRC (SCRC) and MCRC might represent similar disease entities with different courses. Deficient MMR is more likely to appear in younger, lighter MPCC patients with polyps and it is an essential indicator for screening Lynch syndrome.
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Affiliation(s)
- C Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - M Cui
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - J Xing
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - H Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - Z Yao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - N Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - X Su
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China.
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Long H, Zhao H, Chen A, Yao Z, Cheng B, Lu Q. Protecting medical staff from skin injury/disease caused by personal protective equipment during epidemic period of COVID-19: experience from China. J Eur Acad Dermatol Venereol 2020; 34:919-921. [PMID: 32441424 PMCID: PMC7280671 DOI: 10.1111/jdv.16388] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 03/19/2020] [Indexed: 12/01/2022]
Abstract
Linked articles: COVID‐19 SPECIAL FORUM. J Eur Acad Dermatol Venereol 2020; 34: e210–e216.
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Affiliation(s)
- H Long
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - H Zhao
- Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - A Chen
- Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - B Cheng
- Department of Dermatology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Q Lu
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China.,Chinese Society of Dermatology (Dermatology Branch of Chinese Medical Association), Beijing, China
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Utsunomiya T, Zhang N, Lin T, Kohno Y, Ueno M, Maruyama M, Yao Z, Goodman S. Injection of mscs mitigates particle associated chronic inflammation of bone. Cytotherapy 2020. [DOI: 10.1016/j.jcyt.2020.03.373] [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: 10/24/2022]
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Yao Z, Wang Z, Fang B, Chen J, Zhang X, Luo Z, Huang L, Zou H, Yang Y. Involvement of nitrogen in storage root growth and related gene expression in sweet potato (Ipomoea batatas). Plant Biol (Stuttg) 2020; 22:376-385. [PMID: 31943638 DOI: 10.1111/plb.13088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 12/17/2019] [Indexed: 06/10/2023]
Abstract
Nitrogen (N) could affect storage root growth and development of sweet potato. To manage external N concentration fluctuations, plants have developed a wide range of strategies, such as growth changes and gene expression. Five sweet potato cultivars were used to analyse the functions of N in regulating storage root growth. Growth responses and physiological indicators were measured to determine the physiological changes regulated by different N concentrations. Expression profiles of related genes were analysed via microarray hybridization data and qRT-PCR analysis to reveal the molecular mechanisms of storage root growth regulated by different N concentrations. The growth responses and physiological indicators of the five cultivars were changed by N concentration. The root fresh weight of two of the sweet potato cultivars, SS19 and GS87, was higher under low N concentrations compared with the other cultivars. SS19 and GS87 were found to be having greater tolerance to low N concentration. The expression of N metabolism and storage root growth related genes was regulated by N concentration in sweet potato. These results reveal that N significantly regulated storage root growth. SS19 and GS87 were more tolerant to low N concentration and produced greater storage root yield (at 30 days). Furthermore, several N response genes were involved in both N metabolism and storage root growth.
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Affiliation(s)
- Z Yao
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Z Wang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - B Fang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - J Chen
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - X Zhang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Z Luo
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - L Huang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - H Zou
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Y Yang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
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