51
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Li H, Pu Z, Sun Q, Gao YQ, Xiao Y. Noncollinear and Spin-Flip TDDFT in Multicollinear Approach. J Chem Theory Comput 2023; 19:2270-2281. [PMID: 36971474 DOI: 10.1021/acs.jctc.3c00059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
Time-dependent density functional theory (TDDFT) is one of the most important tools for investigating the excited states of electrons. The TDDFT calculation for spin-conserving excitation, where collinear functionals are sufficient, has obtained great success and has become routine. However, TDDFT for noncollinear and spin-flip excitations, where noncollinear functionals are needed, is less widespread and still a challenge nowadays. This challenge lies in the severe numerical instabilities that root in the second-order derivatives of commonly used noncollinear functionals. To be free from this problem radically, noncollinear functionals with numerical stable derivatives are desired, and our recently developed approach, called the multicollinear approach, provides an option. In this work, the multicollinear approach is implemented in noncollinear and spin-flip TDDFT, and prototypical tests are given.
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Li YW, Li Z, Song HC, Ding L, Ji SS, Zhang M, Qu YL, Sun Q, Zhu YD, Fu H, Cai JY, Li CF, Han YY, Zhang WL, Zhao F, Lyu YB, Shi XM. [Association between urinary arsenic level and serum testosterone in Chinese men aged 18 to 79 years]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:686-692. [PMID: 36977566 DOI: 10.3760/cma.j.cn112150-20221110-01095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Objective: To investigate the association between the urinary arsenic level and serum total testosterone in Chinese men aged 18 to 79 years. Methods: A total of 5 048 male participants aged 18 to 79 years were recruited from the China National Human Biomonitoring (CNHBM) from 2017 to 2018. Questionnaires and physical examinations were used to collect information on demographic characteristics, lifestyle, food intake frequency and health status. Venous blood and urine samples were collected to detect the level of serum total testosterone, urine arsenic and urine creatinine. Participants were divided into three groups (low, middle, and high) based on the tertiles of creatinine-adjusted urine arsenic concentration. Weighted multiple linear regression was fitted to analyze the association of urinary arsenic with serum total testosterone. Results: The weighted average age of 5 048 Chinese men was (46.72±0.40) years. Geometric mean concentration (95%CI) of urinary arsenic, creatinine-adjusted urine arsenic and serum testosterone was 22.46 (20.08, 25.12) μg/L, 19.36 (16.92, 22.15) μg/L and 18.13 (17.42, 18.85) nmol/L, respectively. After controlling for covariates, compared with the low-level urinary arsenic group, the testosterone level of the participants in the middle-level group and the high-level group decreased gradually. The percentile ratio (95%CI) was -5.17% (-13.14%, 3.54%) and -10.33% (-15.68%, -4.63). The subgroup analysis showed that the association between the urinary arsenic level and testosterone level was more obvious in the group with BMI<24 kg/m2 group (Pinteraction<0.05). Conclusion: There is a negative association between the urinary arsenic level and serum total testosterone in Chinese men aged 18-79 years.
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Affiliation(s)
- Y W Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H C Song
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L Ding
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S S Ji
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - M Zhang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y L Qu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Q Sun
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y D Zhu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H Fu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Y Cai
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - C F Li
- School of Public Health, Anhui Medical University, Hefei 230032, China
| | - Y Y Han
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - W L Zhang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - F Zhao
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X M Shi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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53
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Meng Y, Sun Q, Zhang T, Zhang J, Dong Z, Ma Y, Wu Z, Wang H, Bao X, Sun Q, Yu J. Cobalt-Promoted Noble-Metal Catalysts for Efficient Hydrogen Generation from Ammonia Borane Hydrolysis. J Am Chem Soc 2023; 145:5486-5495. [PMID: 36820815 DOI: 10.1021/jacs.3c00047] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Ammonia borane (AB) has been regarded as a promising material for chemical hydrogen storage. However, the development of efficient, cost-effective, and stable catalysts for H2 generation from AB hydrolysis remains a bottleneck for realizing its practical application. Herein, a step-by-step reduction strategy has been developed to synthesize a series of bimetallic species with small sizes and high dispersions onto various metal oxide supports. Superior to other non-noble metal species, the introduction of Co species can remarkably and universally promote the catalytic activity of various noble metals (e.g., Pt, Rh, Ru, and Pd) in AB hydrolysis reactions. The optimized Pt0.1%Co3%/TiO2 catalyst exhibits a superhigh H2 generation rate from AB hydrolysis, showing a turnover frequency (TOF) value of 2250 molH2 molPt-1 min-1 at 298 K. Such a TOF value is about 10 and 15 times higher than that of the monometal Pt/TiO2 and commercial Pt/C catalysts, respectively. The density functional theory (DFT) calculation reveals that the synergy between Pt and CoO species can remarkably promote the chemisorption and dissociation of water molecules, accelerating the H2 evolution from AB hydrolysis. Significantly, the representative Pt0.25%Co3%/TiO2 catalyst exhibits excellent stability, achieving a record-high turnover number of up to 215,236 at room temperature. The excellent catalytic performance, superior stability, and low cost of the designed catalysts create new prospects for their practical application in chemical hydrogen storage.
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Affiliation(s)
- Yali Meng
- Innovation Center for Chemical Sciences, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, People's Republic of China
| | - Qinghao Sun
- Innovation Center for Chemical Sciences, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, People's Republic of China
| | - Tianjun Zhang
- State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry; International Center of Future Science, Jilin University, Changchun 130012, People's Republic of China
| | - Jichao Zhang
- Shanghai Synchrotron Radiation Facility, Zhangjiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, People's Republic of China
| | - Zhuoya Dong
- School of Physical Science and Technology & Shanghai Key Laboratory of High-resolution Electron Microscopy, ShanghaiTech University, Shanghai 201210, People's Republic of China
| | - Yanhang Ma
- School of Physical Science and Technology & Shanghai Key Laboratory of High-resolution Electron Microscopy, ShanghaiTech University, Shanghai 201210, People's Republic of China
| | - Zhangxiong Wu
- Particle Engineering Laboratory, School of Chemical and Environmental Engineering, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, People's Republic of China
| | - Huifang Wang
- Department of Chemistry, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, No. 199, Ren-Ai Road, Suzhou Industrial Park, Suzhou 215123, People's Republic of China
| | - Xiaoguang Bao
- Innovation Center for Chemical Sciences, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, People's Republic of China.,Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, Soochow University, Suzhou 215123, People's Republic of China
| | - Qiming Sun
- Innovation Center for Chemical Sciences, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, People's Republic of China.,Jiangsu Key Laboratory of Advanced Negative Carbon Technologies, Soochow University, Suzhou 215123, People's Republic of China
| | - Jihong Yu
- Innovation Center for Chemical Sciences, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, People's Republic of China.,State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry; International Center of Future Science, Jilin University, Changchun 130012, People's Republic of China
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54
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Xu YM, Wang Q, Xiao YL, Yang J, Zheng JY, Bai T, Zhou Q, Sun Q, Feng AN, Meng FQ. [Clinicopathological analysis of pulmonary alveolar proteinosis]. Zhonghua Bing Li Xue Za Zhi 2023; 52:160-162. [PMID: 36748137 DOI: 10.3760/cma.j.cn112151-20220527-00461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Y M Xu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Wang
- Department of Pathology, Anhui Provincial Hospital, the First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China
| | - Y L Xiao
- Department of Respiratory Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - J Yang
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - J Y Zheng
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - T Bai
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Zhou
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Sun
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - A N Feng
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - F Q Meng
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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55
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Li D, Yan J, Sun Q. [Research progress of nutritional assessment and nutritional therapy for children with chronic kidney disease]. Zhonghua Er Ke Za Zhi 2023; 61:186-189. [PMID: 36720607 DOI: 10.3760/cma.j.cn112140-20220704-00614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- D Li
- Department of Clinical Nutrition, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - J Yan
- Department of Clinical Nutrition, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - Q Sun
- Blood Purification Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing Key Laboratory of Pediatric Chronic Kidney Disease and Blood Purification, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing 100045, China
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56
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Li YC, Deng ZX, Wang YJ, Xu T, Sun Q, Shen SJ. [A real-world study of the effects of endocrine therapy on liver function in breast cancer]. Zhonghua Wai Ke Za Zhi 2023; 61:107-113. [PMID: 36720619 DOI: 10.3760/cma.j.cn112139-20220925-00405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Objective: To compare the effect of different endocrine therapy drugs on liver function in patients with early breast cancer. Methods: A retrospective cohort study was conducted to include 4 318 patients with early breast cancer who received adjuvant endocrine therapy in Department of Breast Surgery, Peking Union Medical College Hospital from January 1, 2013 to December 31, 2021. All the patients were female, aged (51.2±11.3) years (range: 20 to 87 years), including 1 182 patients in the anastrozole group, 592 patients in the letrozole group, 332 patients in the exemestane group, and 2 212 patients in the toremifene group. The mixed effect model was used to analyze and compare the liver function levels of patients at baseline, 6, 12, 18, 24, 36, 48, 60 months of medication, and 1 year after drug withdrawal among the three aromatase inhibitors (anastrozole, letrozole, exemestane) and toremifene. Results: ALT and AST of the 4 groups were significantly higher than the baseline level at 6 months (all P<0.01), and there were no significant differences in total bilirubin, direct bilirubin and AST levels among all groups one year after drug withdrawal (P: 0.538, 0.718, 0.061, respectively). There was no significant difference in the effect of all groups on AST levels (F=2.474, P=0.061), and in the effect of three aromatase inhibitors (anastrozole, letrozole, and exemestane) on ALT levels (anastrozole vs. letrozole, P=0.182; anastrozole vs. exemestane, P=0.535; letrozole vs. exemestane, P=0.862). Anastrozole and letrozole had significantly higher effects on ALT levels than toremifene (P<0.01, P=0.009). The proportion of abnormal liver function in each group increased significantly at 6 months compared with baseline, and then the proportion showed a decreasing trend over time. Conclusions: Three aromatase inhibitors (anastrozole, letrozole, and exemestane) and toremifene can significantly increase the level of ALT and AST in patients with breast cancer, and the levels can gradually recover to the baseline after 1 year of drug withdrawal. The effect of non-steroidal aromatase inhibitors (anastrozole, letrozole) on ALT levels is greater than toremifene.
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Affiliation(s)
- Y C Li
- Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Z X Deng
- Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y J Wang
- Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - T Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Peking Union Medical College, Chinese Academy of Medical Sciences & School of Basic Medicine, Beijing 100730, China
| | - Q Sun
- Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - S J Shen
- Department of Breast Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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57
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Sun Q, Miyoshi T, Richard S. Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter. J Comput Appl Math 2023; 419:114772. [PMID: 36061090 PMCID: PMC9420319 DOI: 10.1016/j.cam.2022.114772] [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: 10/26/2021] [Revised: 08/08/2022] [Indexed: 06/15/2023]
Abstract
We introduce an extended SEIR infectious disease model with data assimilation for the study of the spread of COVID-19. In this framework, undetected asymptomatic and pre-symptomatic cases are taken into account, and the impact of their uncertain proportion is fully investigated. The standard SEIR model does not consider these populations, while their role in the propagation of the disease is acknowledged. An ensemble Kalman filter is implemented to assimilate reliable observations of three compartments in the model. The system tracks the evolution of the effective reproduction number and estimates the unobservable subpopulations. The analysis is carried out for three main prefectures of Japan and for the entire country of Japan. For these four communities, our estimated effective reproduction numbers are more stable than the corresponding ones estimated by a different method (Toyokeizai). We also perform sensitivity tests for different values of some uncertain medical parameters, like the relative infectivity of symptomatic/asymptomatic cases. The regional analysis results suggest the decreasing efficiency of the states of emergency.
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Affiliation(s)
- Q Sun
- Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS), Kobe 650-0047, Japan
- Graduate School of Mathematics, Nagoya University, Nagoya 464-8602, Japan
| | - T Miyoshi
- Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS), Kobe 650-0047, Japan
- Prediction Science Laboratory, RIKEN Cluster for Pioneering Research (CPR), Kobe 650-0047, Japan
- RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS), Wako 351-0198, Japan
| | - S Richard
- Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS), Kobe 650-0047, Japan
- Graduate School of Mathematics, Nagoya University, Nagoya 464-8602, Japan
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58
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Sun Q, Gao M, Wen Z, Hou G, Dang X, Liu S, Zhao G. Hydrochemical evolution processes of multiple-water quality interfaces (fresh/saline water, saline water/brine) on muddy coast under pumping conditions. Sci Total Environ 2023; 857:159297. [PMID: 36220467 DOI: 10.1016/j.scitotenv.2022.159297] [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: 09/06/2022] [Accepted: 10/03/2022] [Indexed: 06/16/2023]
Abstract
A thorough understanding of the evolution of coastal brine-bearing groundwater systems under the influence of human activities contributes to the sustainable use of coastal groundwater resources. Therefore, this study comprehensively investigated the processes associated with hydrochemical changes in groundwater during brine exploitation based on long-term monitoring data. The dataset comprised 102 samples (including groundwater, seawater, rain and river samples) collected from 1966 to 2021 to capture the hydrochemical variability. Significant changes in the brine water table and concentration between the pre-overexploitation period (1965-2000) and the exploitation period (2000-2021) are observed. From the relationship between stable isotope (δ18O and δ2H) values and Cl- contents, shallow saline water (SSW) near the drawdown cone (with δ18O and δ2H values of -4.66 ‰ ~ -3.57 ‰ and - 42.1 ‰ ~ -32.8 ‰, respectively) is similar geochemically to the brine inside the drawdown cone (with values of -4.30 ‰ ~ -3.10 ‰ and - 39.0 ‰ ~ -32.3 ‰, respectively), indicating that the SSW has a recharge effect on the underground brine. The delta values of major cations were calculated to analyze the hydrochemical processes at different water quality interfaces (saline/freshwater interface, salinewater/brine interface). The results demonstrated that the SSW and deep saline water (DSW) at the offshore brine/saline water interface undergo seawater intrusion, where SSW undergoes a salinization process with cation exchange (Na+ is exchanged for Ca2+ and Mg2+ in clay), while DSW undergoes a freshening process. The SSW at the saline/freshwater interface is affected by freshwater pumping, and the DSW undergoes a salinization process influenced by brine intrusion presenting the common salinization process with cation exchange. The hydrochemical model shows that the brine concentration recovered during the restricted exploitation stage due to the dissolution of gypsum and halite. If no measures are taken to restrict exploitation, then brine will eventually be replaced by saline water.
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Affiliation(s)
- Qiming Sun
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China; Qingdao Institute of Marine Geology, CGS, Qingdao 266237, China; Chinese Academy of Geological Sciences, Beijing 100037, China
| | - Maosheng Gao
- Qingdao Institute of Marine Geology, CGS, Qingdao 266237, China; Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology, Qingdao 266071, China.
| | - Zhang Wen
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Guohua Hou
- Qingdao Institute of Marine Geology, CGS, Qingdao 266237, China; Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology, Qingdao 266071, China
| | - Xianzhang Dang
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China; Qingdao Institute of Marine Geology, CGS, Qingdao 266237, China; Chinese Academy of Geological Sciences, Beijing 100037, China
| | - Sen Liu
- Yangtai Institute of Coastal Zone Research, Chinese Academy of Science, China
| | - Guangming Zhao
- Qingdao Institute of Marine Geology, CGS, Qingdao 266237, China; Laboratory for Marine Geology, Pilot National Laboratory for Marine Science and Technology, Qingdao 266071, China
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59
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Wang HJ, Sun Q, Xiao ZJ. [States of the art: laboratory developed tests for blood diseases]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:1-5. [PMID: 36987716 PMCID: PMC10067382 DOI: 10.3760/cma.j.issn.0253-2727.2023.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Affiliation(s)
- H J Wang
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Q Sun
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
| | - Z J Xiao
- National Clinical Research Center for Blood Diseases, State Key Laboratory of Experimental Hematology, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Tianjin Institutes of Health Science, Tianjin 301600, China
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60
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Abstract
SCFD1 (sec1 family domain containing 1) was recently shown to function in autophagosome-lysosome fusion, and multiple studies have demonstrated the regulatory impacts of acetylation (a post-translational modification) on macroautophagy/autophagy. Here, we demonstrate that both acetylation- and phosphorylation-dependent mechanisms control SCFD1's function in autophagosome-lysosome fusion. After detecting a decrease in the extent of SCFD1 acetylation under autophagy-stimulated conditions, we found that KAT2B/PCAF catalyzes the acetylation of residues K126 and K515 of SCFD1; we also showed that these two residues are deacetylated by SIRT4. Importantly, we showed that AMPK-controlled SCFD1 phosphorylation strongly disrupts the capacity of SCFD1 to interact with KAT2B, thus ensuring that the SCFD1 acetylation level remains low. Finally, we demonstrated that SCFD1 acetylation inhibits autophagic flux, specifically by blocking STX17-SNAP29-VAMP8 SNARE complex formation. Thus, our study reveals a mechanism through which phosphorylation and acetylation modifications of SCFD1 mediate SNARE complex formation to regulate autophagosome maturation.ACLY: ATP citrate lyase; CREB: cAMP responsive element binding protein; EBSS: nutrient-deprivation medium; EP300: E1A binding protein p300; KAT5/TIP60: lysine acetyltransferase 5; HOPS: homotypic fusion and protein sorting; MS: mass spectroscopy; SCFD1: sec1 family domain containing 1; SM: Sec1/Munc18; SNARE: soluble N-ethylmaleimide-sensitive factor attachment protein receptor; UVRAG: UV radiation resistance associated.
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Affiliation(s)
- Hong Huang
- College of Food Science and Technology, School of Life Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Qinqin Ouyang
- College of Food Science and Technology, School of Life Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - Kunrong Mei
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjing, Tianjing, China
| | - Ting Liu
- Department of Cell Biology, and Department of General Surgery of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Qiming Sun
- Department of Biochemistry, and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wei Liu
- Department of Biochemistry, and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China,Zhejiang University School of Medicine, Joint Institute of Genetics and Genomics Medicine between Zhejiang University and University of Toronto, Hangzhou, Zhejiang, China
| | - Rong Liu
- College of Food Science and Technology, School of Life Sciences, Nanjing Agricultural University, Nanjing, Jiangsu, China,Zhejiang University School of Medicine, Lead Contact, Nanjing, China,CONTACT Rong Liu College of Food Science and Technology, School of Life Sciences, Nanjing Agricultural University, Nanjing210095, China
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61
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Sun X, Sun Q, Liu J, Liu SG, Cheng WW. [Six cases of acute toilet cleaners]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2022; 40:941-944. [PMID: 36646490 DOI: 10.3760/cma.j.cn121094-20210629-00309] [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: 01/18/2023]
Abstract
The oral toilet cleaners poisoning can result in devastating gastrointestinal tract injuries with the risk of perforation and/or hemorrhage, and sometimes potentially fatal systemic complications and sequelas. It should be given positive treatment. In this paper, six cases of acute toilet cleaners poisoning were analyzed, and the clinical characteristics and treatment effect were summarized, so as to improve the understanding, diagnosis and treatment level of the disease.
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Affiliation(s)
- X Sun
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - Q Sun
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - J Liu
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - S G Liu
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
| | - W W Cheng
- Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang 277101, China
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62
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Xie DN, Sun Q. Bilateral ptosis caused by patent foramen ovale-associated stroke. QJM 2022; 115:853-854. [PMID: 35972401 DOI: 10.1093/qjmed/hcac196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 08/09/2022] [Indexed: 12/15/2022] Open
Affiliation(s)
- Drs N Xie
- Department of Geriatric Neurology, Xiangya Hospital, Central South University, Changsha 410008, China and National Clinical Research Center for Geriatric Disorders, Changsha, Hunan 410078, China
| | - Q Sun
- Department of Geriatric Neurology, Xiangya Hospital, Central South University, Changsha 410008, China and National Clinical Research Center for Geriatric Disorders, Changsha, Hunan 410078, China
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Wang L, Wei L, Jin L, Li Y, Wei Y, He W, Shi L, Sun Q, Li W, Li Q, Li Y, Wu Y, Wang Y, Yuan M. Different Features of a Metabolic Connectivity Map and the Granger Causality Method in Revealing Directed Dopamine Pathways: A Study Based on Integrated PET/MR Imaging. AJNR Am J Neuroradiol 2022; 43:1770-1776. [PMID: 36357153 DOI: 10.3174/ajnr.a7707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 10/01/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND AND PURPOSE Exploring the directionality of neural information in the brain is important for understanding brain mechanisms and neurodisease development. Granger causality analysis and the metabolic connectivity map can be used to investigate directional transmission of information between brain regions, but their differences in depicting functional effective connectivity are not clear. MATERIALS AND METHODS Using the Monash rs-PET/MR imaging data set, we conducted Granger causality and metabolic connectivity map analyses of the dopamine reward circuit in the brain. The dopamine reward circuit is a well-known system consisting primarily of the bilateral orbital frontal cortex, caudate, nucleus accumbens, thalamus, and substantia nigra. We validated these circuit pathways using Granger causality and the metabolic connectivity map for identifying effective connectivities against a priori knowledge by testing the significance of directed pathways (P < .05, false discovery rate-corrected). RESULTS We found 3 types of effective connectivities in the dopamine reward circuit: long-range, neighborhood, and symmetric. Granger causality analysis revealed long-range connections in the orbital frontal cortex-caudate and orbital frontal cortex-nucleus accumbens regions. Metabolic connectivity map analysis revealed neighborhood connections in the nucleus accumbens-caudate, substantia nigra-thalamus, and thalamus-caudate regions. Metabolic connectivity map analysis also found symmetric connections in each of the bilateral nucleus accumbens, caudate, thalamus, and orbital frontal cortex-caudate regions. Different patterns in directional networks of the dopamine reward circuit were revealed by Granger causality and metabolic connectivity map analyses. CONCLUSIONS Granger causality analysis primarily identified bidirectional cortico-nucleus connections, while the metabolic connectivity map primarily identified direct connections among neighborhood and symmetric regions. The results of this study indicated that investigations of effective connectivities should use an appropriate analysis method depending on the purpose of the study.
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Affiliation(s)
- L Wang
- From the Departments of Nuclear Medicine (L. Wang., L. Wei, L.J., YunBo Li, Y. Wei, W.H., L.S., M.Y.)
| | - L Wei
- From the Departments of Nuclear Medicine (L. Wang., L. Wei, L.J., YunBo Li, Y. Wei, W.H., L.S., M.Y.)
| | - L Jin
- From the Departments of Nuclear Medicine (L. Wang., L. Wei, L.J., YunBo Li, Y. Wei, W.H., L.S., M.Y.)
| | - Y Li
- From the Departments of Nuclear Medicine (L. Wang., L. Wei, L.J., YunBo Li, Y. Wei, W.H., L.S., M.Y.)
| | - Y Wei
- From the Departments of Nuclear Medicine (L. Wang., L. Wei, L.J., YunBo Li, Y. Wei, W.H., L.S., M.Y.)
| | - W He
- From the Departments of Nuclear Medicine (L. Wang., L. Wei, L.J., YunBo Li, Y. Wei, W.H., L.S., M.Y.)
| | - L Shi
- From the Departments of Nuclear Medicine (L. Wang., L. Wei, L.J., YunBo Li, Y. Wei, W.H., L.S., M.Y.)
| | - Q Sun
- Department of Radiology (Q.S., Y. Wang), the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - W Li
- Radiology (W.L., Q.L.), Tangdu Hospital of Air Force Military Medical University, Xi'an, China
| | - Q Li
- Radiology (W.L., Q.L.), Tangdu Hospital of Air Force Military Medical University, Xi'an, China
| | - Y Li
- Department of Radiology (YongBin Li), the First Hospital of Xi'an, Xi'an, China; and Siemens
| | - Y Wu
- Healthineers Ltd (Y. Wu), Beijing, China
| | - Y Wang
- Department of Radiology (Q.S., Y. Wang), the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - M Yuan
- From the Departments of Nuclear Medicine (L. Wang., L. Wei, L.J., YunBo Li, Y. Wei, W.H., L.S., M.Y.)
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Bagheri P, Behjat L, Sun Q. Nonlinear control of a class of non-affine variable-speed variable-pitch wind turbines with radial-basis function neural networks. ISA Trans 2022; 131:197-209. [PMID: 35715269 DOI: 10.1016/j.isatra.2022.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 05/02/2022] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
Due to complicated dynamics, wind turbines' governing equations are subject to uncertainties and unknown disturbance sources. Despite uncertainties and disturbance sources, the paper's focus is to design an adaptive controller that enables trajectory-tracking with a zero-converging tracking error. As the main result of a zero tracking error, the turbine can operate at maximum power efficiency. In addition, novel Lyapunov functions are proposed introducing auxiliary adaptive terms to result in closed-loop asymptotic stability in the presence of a non-affine controller input, uncertainties, and unknown disturbance sources. Considering the turbine dynamics, one can divide the wind turbine control problem into torque and pitch control phases. For addressing the nonlinearities and uncertainties of the dynamics in each phase, RBF neural networks are utilized to develop novel control and adaptive laws. To address the non-affine dynamics stemming from the pitch angle, a neural network alongside the implicit function and mean-value theorems are utilized to transform the dynamics into the control affine form. Several auxiliary adaptive variables are proposed in the transformation procedure, leading to closed-loop asymptotic stability. Moreover, using the Lyapunov stability analysis, closed-loop asymptotic stability is obtained for each phase. In the end, simulation results are presented to verify the analytical results where the proposed controller's performance is compared to that of an existing method in different scenarios. The proposed controller's simulation results suggest dramatic improvement over those of the existing method in both trajectory-tracking and required control action.
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Affiliation(s)
- P Bagheri
- Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada T2N 1N4.
| | - L Behjat
- Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Q Sun
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada T2N 1N4
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Ai Y, Sun Q, Jiang H. Efficient Multiconfigurational Quantum Chemistry Approach to Single-Ion Magnets Based on Density Matrix Embedding Theory. J Phys Chem Lett 2022; 13:10627-10634. [PMID: 36350106 DOI: 10.1021/acs.jpclett.2c02890] [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: 06/16/2023]
Abstract
Density matrix embedding theory (DMET) provides a systematic framework to combine low-level (e.g., Hartree-Fock approximation) and high-level correlated quantum chemistry methods to treat strongly correlated systems. In this work, we propose an efficient quantum embedding approach that combines DMET with the complete active space self-consistent field and subsequent state interaction treatment of spin-orbit coupling (CASSI-SO) and apply it to a theoretical description of single-ion magnets (SIMs). We have developed a novel regularized direct inversion of iterative subspace (R-DIIS) technique that ensures restricted open-shell Hartree-Fock converging to a physically correct ground state, which is found to be crucial for the efficacy of subsequent CASSI-SO calculation. The DMET+CASSI-SO approach can produce reliable zero-field splitting parameters in typical 3d-SIMs with dramatically reduced computational cost compared to its all-electron counterpart. This work therefore demonstrates the great potential of DMET-based multiconfigurational approaches for efficient ab initio study of magneto-structural correlations in complex molecular magnetic systems.
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Affiliation(s)
- Yuhang Ai
- Beijing National Laboratory for Molecular Sciences, Institute of Theoretical and Computational Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Qiming Sun
- Axiomquant Investment Management LLC, Beijing 100871, China
| | - Hong Jiang
- Beijing National Laboratory for Molecular Sciences, Institute of Theoretical and Computational Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
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Yu KY, Sun Q, Zhang JG, Bian CM, Si C. [Preliminary results of biportal endoscopic lumbar interbody fusion, decompression and pedicle screw insertion assisted with endoscopic technique for lumbar spinal stenosis combined with spondylolisthesis or instability]. Zhonghua Yi Xue Za Zhi 2022; 102:3288-3294. [PMID: 36319181 DOI: 10.3760/cma.j.cn112137-20220709-01521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objectives: To evaluate the preliminary clinical outcomes of biportal endoscopic lumbar interbody fusion (BE-LIF), decompression and pedicle screw insertion assisted with endoscopic technique for lumbar spinal stenosis combined with spondylolisthesis or instability. Methods: The data of 9 patients with single-level lumbar spinal stenosis who underwent BE-LIF, decompression and pedicle screw insertion assisted with biportal endoscopy in Xinjiang Production and Construction Corps Hospital from March 1st 2022 to April 30th 2022 were analyzed retrospectively. The visual analogue scales (VAS) for pain in back and legs, and the Oswestry disability index (ODI) of all the patients were collected before operation, on the third day after operation and at the last follow-up. Moreover, the operation time, intra-operation blood loss, radiation shots for pedicle screw insertion, post-operation drainage and ambulation time were recorded. The screw position was checked with CT after the operation. Results: All the patients were female with a mean age of (70.3±8.4) years (ranged 56-84 years); the patients were followed-up for 12-16 weeks. All 9 patients had good clinical results. The VAS scores for back pain on the third day after operation and at the last follow-up were both significantly lower than that preoperatively[(2.9±0.6), (1.8±0.4) vs (6.4±1.1) points, both P<0.05]. The VAS scores for leg pain on the third day after operation and at the last follow-up were both significantly lower than that preoperatively[(1.9±0.3), (1.4±0.5) vs (7.3±1.6) points, P<0.05]. The ODI scores at last follow-up was significantly lower than that before the operation ((24.0%±6.5% vs 55.7%±12.8%, P<0.05). The intra-operative blood loss was (177±103) ml, the drainage amounts post-operation was (122±56) ml, the operation time was (207.8±32.7)min, the ambulation time was (2.3±0.5) days. The total radiation shots for pedicle screw insertion were 20-42 times, the average radiation shots per screw was (6.9±1.5) times. No severe complications or adverse events occurred. No nerve root injury or dural tear occurred in the operation, and no revision surgery needed. Conclusions: The pedicle screw insertion assisted with biportal endoscopic technique can decrease the radiation exposure with good feasibility and safety during the BE-LIF. The BE-LIF combined with the pedicle screw insertion assisted with biportal endoscopy is an effective and safe surgery for lumbar spinal stenosis with good early results.
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Affiliation(s)
- K Y Yu
- Department of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Q Sun
- Department of Orthopedics, Xinjiang Production and Construction Corps Hospital, Urumqi 830092, China
| | - J G Zhang
- Department of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - C M Bian
- Department of Orthopedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Chunming Si
- Department of Orthopedics, Xinjiang Production and Construction Corps Hospital, Urumqi 830092, China
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Li Z, Lyu YB, Zhao F, Sun Q, Qu YL, Ji SS, Qiu T, Li YW, Song SX, Zhang M, Liu YC, Cai JY, Song HC, Zheng XL, Wu B, Li DD, Liu Y, Zhu Y, Cao ZJ, Shi XM. [Association of lead exposure with stunting and underweight among children aged 3-5 years in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1597-1603. [PMID: 36372750 DOI: 10.3760/cma.j.cn112150-20211229-01197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To evaluate the association of lead exposure with stunting and underweight among children aged 3-5 years in China. Methods: Data was collected from China National Human Biomonitoring (CNHBM) between January 2017 and December 2018. A total of 3 554 children aged 3-5 years were included. Demographic characteristic, lifestyle and nutritional status were collected through questionnaires. Height and weight were measured by standardized method. Stunting and underweight status were determined by calculating height for age Z-score and weight for age Z-score. Blood and urine samples were collected to detect the concentrations of blood lead, urinary lead and urinary creatinine. Children were stratified into 4 groups (Q1 to Q4) by quartiles of blood lead level and corrected urinary lead level, respectively. Complex sampling logistic regression models were applied to evaluate the association of the blood lead level, urinary lead level with stunting and underweight. Results: Among 3 554 children, the age was (4.09±1.06) years, of which 1 779 (80.64%) were female and 1 948 (55.84%) were urban residents. The prevalence of stunting and wasting was 7.34% and 2.96%, respectively. The M (Q1, Q3) for blood lead levels and urinary lead levels in children was 17.49 (12.80, 24.71) μg/L, 1.20 (0.61, 2.14) μg/g Cr, respectively. After adjusting for confounding factors, compared with the lowest blood lead concentration group Q1, the risk of stunting gradually increased in the Q3 and Q4 group (Ptrend=0.010), with OR (95%CI) values of 1.40 (0.80-2.46) and 1.80 (1.07-3.04), respectively. Compared with the lowest urinary lead concentration group Q1, the risk of stunting still increased in the Q3 and Q4 group (Ptrend=0.012), with OR (95%CI) values of 1.69 (1.01-2.84) and 1.79 (1.05-3.06), respectively. The correlation between the lead exposure and underweight was not statistically significant (P>0.05). Conclusion: Lead exposure is positively associated with the risk of stunting among children aged 3-5 years in China.
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Affiliation(s)
- Z Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - F Zhao
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Q Sun
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y L Qu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S S Ji
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - T Qiu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y W Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S X Song
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - M Zhang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y C Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Y Cai
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H C Song
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X L Zheng
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - B Wu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - D D Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Liu
- School of Public Health, Jilin University, Changchun 130012, China
| | - Y Zhu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z J Cao
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X M Shi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Qu YL, Zhao F, Ji SS, Hu XJ, Li Z, Zhang M, Li YW, Lu YF, Cai JY, Sun Q, Song HC, Li DD, Zheng XL, Wu B, Lyu YB, Zhu Y, Cao ZJ, Shi XM. [Mediation effect of inflammatory biomarkers on the association between blood lead levels and blood pressure changes in Chinese adults]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1591-1596. [PMID: 36372749 DOI: 10.3760/cma.j.cn112150-20211119-01067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the role of inflammatory biomarkers in the relationship between blood lead levels and blood pressure changes. Methods: A total of 9 910 people aged 18-79 years who participated in the China National Human Biomonitoring in 2017-2018 were included in this study. A self-made questionnaire was used to collect demographic characteristics, lifestyle and other information, and the data including height, weight and blood pressure were determined through physical examination. Blood and urinary samples were collected for the detection of blood lead and cadmium levels, urinary arsenic levels, white blood cells, neutrophils, lymphocytes, and hypersensitive C-reactive protein (hs-CRP). Weighted linear regression models were used to evaluate the associations between blood lead, inflammatory biomarkers and blood pressure. Mediation analysis was performed to investigate the role of inflammation in the relationship between blood lead levels and blood pressure changes. Results: The median (Q1, Q3) age of all participants was 45.4 (33.8, 58.4)years, including 4 984 males accounting for 50.3%. Multivariate logistic regression model analysis showed that after adjusting for age, gender, residence area, BMI, education level, smoking and drinking status, family history of hypertension, consumption frequency of rice, vegetables, and red meat, fasting blood glucose, total cholesterol, triglycerides, blood cadmium and urinary arsenic levels, there was a positive association between blood lead levels, inflammatory biomarkers and blood pressure (P<0.05). Each 2.71 μg/L (log-transformed) increase of the lead was associated with a 2.05 (95%CI: 0.58, 3.53) mmHg elevation in systolic blood pressure (SBP), 2.24 (95%CI: 1.34, 3.14) mmHg elevation in diastolic blood pressure (DBP), 0.25 (95%CI: 0.05, 0.46) mg/L elevation in hs-CRP, 0.16 (95%CI: 0.03, 0.29)×109/L elevation in white blood cells, and 0.11 (95%CI: 0.02, 0.21)×109/L elevation in lymphocytes, respectively. Mediation analysis showed that the levels of hs-CRP significantly mediated the association of blood lead with SBP, with a proportion about 3.88% (95%CI: 0.45%, 7.32%). The analysis also found that the levels of hs-CRP and neutrophils significantly mediated the association of blood lead with SBP, with a proportion about 4.10% (95%CI: 1.11%, 7.10%) and 2.42% (95%CI: 0.07%, 4.76%), respectively. Conclusion: This study suggests that inflammatory biomarkers could significantly mediate the association of blood lead levels and blood pressure changes.
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Affiliation(s)
- Y L Qu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - F Zhao
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - S S Ji
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X J Hu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - M Zhang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y W Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y F Lu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Y Cai
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Q Sun
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - H C Song
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - D D Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X L Zheng
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - B Wu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Y Zhu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Z J Cao
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - X M Shi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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Geyer C, Garber J, Gelber R, Yothers G, Taboada M, Ross L, Rastogi P, Cui K, Arahmani A, Aktan G, Armstrong A, Arnedos M, Balmaña J, Bergh J, Bliss J, Delaloge S, Domchek S, Eisen A, Elsafy F, Fein L, Fielding A, Ford J, Friedman S, Gelmon K, Gianni L, Gnant M, Hollingsworth S, Im SA, Jager A, Jóhannsson Ó, Lakhani S, Janni W, Linderholm B, Liu TW, Loman N, Korde L, Loibl S, Lucas P, Marmé F, Martinez de Dueñas E, McConnell R, Phillips KA, Piccart M, Rossi G, Schmutzler R, Senkus E, Shao Z, Sharma P, Singer C, Španić T, Stickeler E, Toi M, Traina T, Viale G, Zoppoli G, Park Y, Yerushalmi R, Yang H, Pang D, Jung K, Mailliez A, Fan Z, Tennevet I, Zhang J, Nagy T, Sonke G, Sun Q, Parton M, Colleoni M, Schmidt M, Brufsky A, Razaq W, Kaufman B, Cameron D, Campbell C, Tutt A. Overall survival in the OlympiA phase III trial of adjuvant olaparib in patients with germline pathogenic variants in BRCA1/2 and high risk, early breast cancer. Ann Oncol 2022; 33:1250-1268. [PMID: 36228963 DOI: 10.1016/j.annonc.2022.09.159] [Citation(s) in RCA: 108] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 09/22/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND The randomized, double-blind OlympiA trial compared 1 year of the oral poly(adenosine diphosphate-ribose) polymerase inhibitor, olaparib, to matching placebo as adjuvant therapy for patients with pathogenic or likely pathogenic variants in germline BRCA1 or BRCA2 (gBRCA1/2pv) and high-risk, human epidermal growth factor receptor 2-negative, early breast cancer (EBC). The first pre-specified interim analysis (IA) previously demonstrated statistically significant improvement in invasive disease-free survival (IDFS) and distant disease-free survival (DDFS). The olaparib group had fewer deaths than the placebo group, but the difference did not reach statistical significance for overall survival (OS). We now report the pre-specified second IA of OS with updates of IDFS, DDFS, and safety. PATIENTS AND METHODS One thousand eight hundred and thirty-six patients were randomly assigned to olaparib or placebo following (neo)adjuvant chemotherapy, surgery, and radiation therapy if indicated. Endocrine therapy was given concurrently with study medication for hormone receptor-positive cancers. Statistical significance for OS at this IA required P < 0.015. RESULTS With a median follow-up of 3.5 years, the second IA of OS demonstrated significant improvement in the olaparib group relative to the placebo group [hazard ratio 0.68; 98.5% confidence interval (CI) 0.47-0.97; P = 0.009]. Four-year OS was 89.8% in the olaparib group and 86.4% in the placebo group (Δ 3.4%, 95% CI -0.1% to 6.8%). Four-year IDFS for the olaparib group versus placebo group was 82.7% versus 75.4% (Δ 7.3%, 95% CI 3.0% to 11.5%) and 4-year DDFS was 86.5% versus 79.1% (Δ 7.4%, 95% CI 3.6% to 11.3%), respectively. Subset analyses for OS, IDFS, and DDFS demonstrated benefit across major subgroups. No new safety signals were identified including no new cases of acute myeloid leukemia or myelodysplastic syndrome. CONCLUSION With 3.5 years of median follow-up, OlympiA demonstrates statistically significant improvement in OS with adjuvant olaparib compared with placebo for gBRCA1/2pv-associated EBC and maintained improvements in the previously reported, statistically significant endpoints of IDFS and DDFS with no new safety signals.
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Zhang Y, Zhang K, Shang C, Wang X, Wu L, Huang G, Wang H, Sun Q, Chen XD, Wu Z. Synthesis of hierarchical
ZSM
‐5 microspheres with superior performance for catalytic methanol‐to‐olefin conversion. AIChE J 2022. [DOI: 10.1002/aic.17913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Yali Zhang
- Particle Engineering Laboratory of School of Chemical and Environmental Engineering, Soochow University Suzhou City Jiangsu Province People’s Republic of China
| | - Kai Zhang
- Innovation Center for Chemical Sciences College of Chemistry, Chemical Engineering and Materials Science, Soochow University Suzhou City Jiangsu Province People’s Republic of China
| | - Chao Shang
- Particle Engineering Laboratory of School of Chemical and Environmental Engineering, Soochow University Suzhou City Jiangsu Province People’s Republic of China
| | - Xiaoning Wang
- Particle Engineering Laboratory of School of Chemical and Environmental Engineering, Soochow University Suzhou City Jiangsu Province People’s Republic of China
| | - Lei Wu
- Particle Engineering Laboratory of School of Chemical and Environmental Engineering, Soochow University Suzhou City Jiangsu Province People’s Republic of China
| | - Guoqing Huang
- Particle Engineering Laboratory of School of Chemical and Environmental Engineering, Soochow University Suzhou City Jiangsu Province People’s Republic of China
| | - Hao Wang
- Particle Engineering Laboratory of School of Chemical and Environmental Engineering, Soochow University Suzhou City Jiangsu Province People’s Republic of China
| | - Qiming Sun
- Innovation Center for Chemical Sciences College of Chemistry, Chemical Engineering and Materials Science, Soochow University Suzhou City Jiangsu Province People’s Republic of China
| | - Xiao Dong Chen
- Particle Engineering Laboratory of School of Chemical and Environmental Engineering, Soochow University Suzhou City Jiangsu Province People’s Republic of China
| | - Zhangxiong Wu
- Particle Engineering Laboratory of School of Chemical and Environmental Engineering, Soochow University Suzhou City Jiangsu Province People’s Republic of China
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71
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Zhu Y, Cai Q, Yip R, Sun Q, Li P, Triphuridet N, Henschke C, Yankelevitz D. EP01.05-011 Radiologic Features of Nodules Attached to the Mediastinal or Diaphragmatic Pleura. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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72
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Liu L, Sun Q, Jiang T, Deng G, Gong Q, Li Y. A novel discrete elephant herding optimization for energy-saving flexible job shop scheduling problem with preventive maintenance. IFS 2022. [DOI: 10.3233/jifs-220494] [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: 11/15/2022]
Abstract
Recently, energy-saving scheduling issues have attracted more and more attention in the manufacturing field. Meanwhile, in practical production, maintenance planning is viewed as a vital task in the workshop. However, the existing literature about energy-saving scheduling problems rarely consider the effect of preventive maintenance. Therefore, this paper investigates an energy-saving flexible job shop scheduling problem with preventive maintenance. A mathematical model is proposed considering the minimization of total energy consumption. To solve the problem, a novel discrete elephant herding optimization algorithm (NDEHO) is proposed according to the problem’s characteristics. To test the NDEHO’s performance, the Taguchi design of experiment approach is adopted to get the best combination of parameters in the algorithm. Numerical experiments are conducted based on twenty-four instances, including four benchmark instances and twenty randomly generated instances. Computational data indicate that NDEHO outperforms other compared algorithms for solving the considered problem.
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Affiliation(s)
- Lu Liu
- School of Transportation, Ludong University, Yantai, Shandong, China
- Shandong Marine Aerospace Equipment Technological Innovation Center, Ludong University, Yantai, Shandong, China
| | - Qiming Sun
- College of Information Science and Technology, Nanjing Forestry University, Nanjing, China
| | - Tianhua Jiang
- School of Transportation, Ludong University, Yantai, Shandong, China
- Shandong Marine Aerospace Equipment Technological Innovation Center, Ludong University, Yantai, Shandong, China
- Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China
| | - Guanlong Deng
- School of Information and Electrical Engineering, Ludong University, Yantai, Shandong, China
| | - Qingtao Gong
- Shandong Marine Aerospace Equipment Technological Innovation Center, Ludong University, Yantai, Shandong, China
- ULASAN and Ocean College, Ludong University, Yantai, Shandong, China
| | - Yaping Li
- School of Transportation, Ludong University, Yantai, Shandong, China
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73
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Liu X, Huang X, Han T, Li S, Xue C, Deng J, Zhou Q, Sun Q, Zhou J. Discrimination between microcystic meningioma and atypical meningioma using whole-lesion apparent diffusion coefficient histogram analysis. Clin Radiol 2022; 77:864-869. [PMID: 36030110 DOI: 10.1016/j.crad.2022.07.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 07/06/2022] [Accepted: 07/06/2022] [Indexed: 11/03/2022]
Abstract
AIM To explore the value of whole-lesion apparent diffusion coefficient (ADC) histogram analysis in discriminating microcystic meningioma (MCM) from atypical meningioma (AM). MATERIALS AND METHODS Clinical and preoperative MRI data of 20 patients with MCM and 26 patients with AM were analysed retrospectively. Whole-lesion apparent diffusion coefficient (ADC) histogram analysis was performed on each patient's lesion to obtain histogram parameters, including mean, variance, skewness, kurtosis, the 1st (ADCp1), 10th (ADCp10), 50th (ADCp50), 90th (ADCp90), and 99th (ADCp99) percentiles of ADC. The differences between the ADC histogram parameters of the two tumours were compared, and the receiver operating characteristic (ROC) curve was used to assess the diagnostic performance of statistically significant parameters in distinguishing the two tumours. RESULTS The mean, ADCp1, ADCp10, ADCp50, and ADCp90 of MCM were greater than those of AM, and significant differences were observed in these parameters between MCM and AM (all p<0.05). ROC analysis showed that the mean had the highest area under the curve value (AUC) in distinguishing the two tumours (AUC = 0.852), when using 120.46 × 10-6 mm2/s as the optimal threshold, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value for discriminating the two groups were 84.6%, 75%, 80.4%, 81.5%, and 78.9%, respectively. CONCLUSION Histogram analysis based on whole-lesion ADC maps was useful for discriminating between MCM from AM preoperatively, with the mean being the most promising potential parameter.
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Affiliation(s)
- X Liu
- Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China
| | - X Huang
- Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China
| | - T Han
- Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China
| | - S Li
- Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China
| | - C Xue
- Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China
| | - J Deng
- Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China
| | - Q Zhou
- Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China
| | - Q Sun
- Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China
| | - J Zhou
- Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China.
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74
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Li ZW, Sun Q, Zheng Z, Yang LL, He L, Chen DN, Zhang B, Wu HY, Huang WB, Fan XS. [Clinicopathological features of colorectal amphicrine carcinoma]. Zhonghua Bing Li Xue Za Zhi 2022; 51:708-712. [PMID: 35922159 DOI: 10.3760/cma.j.cn112151-20220106-00007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To investigate the clinicopathological, immunophenotypic and molecular features of colorectal amphicrine carcinoma (AC). Methods: Eight cases of colorectal AC were collected at the Nanjing Drum Tower Hospital and Nanjing First Hospital, Nanjing, China from 2013 to 2020. The histopathological, immunohistochemical and molecular features were analyzed. The relevant literature was reviewed. Results: There were 6 males and 2 females, with an average age of 56 years (range 28-80 years). The tumor sites were as follows: 4 cases in sigmoid colon, 3 cases in rectum, and 1 case in transverse colon. Microscopically, there were three different patterns in the tumors, including nests with collagen hyperplasia, sheets of cells with scant stroma, and glandular or cribriform growth of goblet- or signet ring-like cells. The tumor cells generally had abundant cytoplasm with abundant mucin or eosinophilic granules. The nuclei were oval or irregular with fine chromatin and inconspicuous nucleoli. Mitotic figures were common. Neuroendocrine granules and mucin granules could be identified clearly under electron microscope. All cases showed frequent perineural and lymphovascular invasions, lymphatic metastasis, and advanced stage. Regarding immunohistochemical and specific stains, the tumor cells expressed more than two neuroendocrine markers, particularly CD56 and synaptophysin which were diffusely positive in 7 of the 8 cases. They also showed intracellular mucin in the amphicrine components which was positive for D-PAS. KRAS G12C or NRAS Q61 gene mutations were found in 2 patients. Among the six cases with complete follow-up, four of them died of the disease within three years of the diagnoses, while two were alive without known disease progression. Conclusions: Colorectal AC is a rare, distinct entity with both epithelial and neuroendocrine differentiation. It mainly occurs in the sigmoid colon and rectum. It typically has aggressive clinical courses, dismal prognosis and characteristic histological features and immunophenotype, which highlight the importance of recognizing this entity for clinicians and pathologists.
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Affiliation(s)
- Z W Li
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Sun
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Z Zheng
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - L L Yang
- Department of Pathology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - L He
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - D N Chen
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - B Zhang
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - H Y Wu
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - W B Huang
- Department of Pathology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - X S Fan
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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75
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Sun Q, Marukian N, Cheraghlou S, Paller A, Larralde M, Bercovitch L, Levinsohn J, Ren I, Hu R, Zhou J, Zaki T, Fan R, Tian C, Saraceni C, Nelson-Williams C, Loring E, Craiglow B, Milstone L, Lifton R, Boyden L, Choate K. 502 The genomic and phenotypic landscape of ichthyosis: An analysis of 1000 kindreds. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.511] [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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76
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Guene Lougou B, Geng B, Jiang B, Zhang H, Sun Q, Shuai Y, Qu Z, Zhao J, Wang CH. Copper ferrite and cobalt oxide two-layer coated macroporous SiC substrate for efficient CO 2-splitting and thermochemical energy conversion. J Colloid Interface Sci 2022; 627:516-531. [PMID: 35870404 DOI: 10.1016/j.jcis.2022.07.057] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 05/16/2022] [Revised: 07/02/2022] [Accepted: 07/09/2022] [Indexed: 10/17/2022]
Abstract
CO2-splitting and thermochemical energy conversion effectiveness are still challenged by the selectivity of metal/metal oxide-based redox materials and associated chemical reaction constraints. This study proposed an interface/substrate engineering approach for improving CO2-splitting and thermochemical energy conversion through CuFe2O4 and Co3O4 two-layer coating SiC. The newly prepared material reactive surface area available for gas-solid reactions is characterized by micro-pores CuFe2O4 alloy easing inter-layer oxygen micro mass exchanges across a highly stable SiC-Co3O4 layer. Through a thermogravimetry analysis, oxidation of the thermally activated oxygen carriers exhibited remarkably CO2-splitting capacities with a total CO yield of 1919.33 µmol/g at 1300 °C. The further analysis of the material CO2-splitting performance at the reactor scale resulted in 919.04 mL (788.94 µmol/g) of CO yield with an instantaneous CO production rate of 22.52 mL/min and chemical energy density of 223.37 kJ/kg at 1000 °C isothermal redox cycles. The reaction kinetic behavior indicated activation energy of 30.65 kJ/mol, which suggested faster CO2 activation and oxidation kinetic on SiC-Co3O4-CuFe2O4 O-deficit surfaces. The underlying mechanism for the remarkable thermochemical performances was analyzed by combining experiment and density functional theory (DFT) calculations. The significance of exploiting the synergy between CuFe2O4 and Co3O4 layers and stoichiometric reaction characteristics provided fundamental insights useful for the theoretical modeling and practical application of the solar thermochemical process.
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Affiliation(s)
- Bachirou Guene Lougou
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China; MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineer8ing, Harbin Institute of Technology, Harbin 150001, China
| | - Boxi Geng
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
| | - Boshu Jiang
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
| | - Hao Zhang
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
| | - Qiming Sun
- Innovation Center for Chemical Sciences, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, People's Republic of China; Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore
| | - Yong Shuai
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
| | - Zhibin Qu
- School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
| | - Jiupeng Zhao
- MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, School of Chemistry and Chemical Engineer8ing, Harbin Institute of Technology, Harbin 150001, China
| | - Chi-Hwa Wang
- Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.
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77
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Abstract
The frequency-independent Coulomb-Breit operator gives rise to the most accurate treatment of two-electron interaction in the non-quantum-electrodynamics regime. The Breit interaction in the Coulomb gauge consists of magnetic and gauge contributions. The high computational cost of the gauge term limits the application of the Breit interaction in relativistic molecular calculations. In this work, we apply the Pauli component integral-density matrix contraction scheme for gauge interaction with a maximum spin- and component separation scheme. We also present two different computational algorithms for evaluating gauge integrals. One is the generalized Obara-Saika algorithm, where the Laplace transformation is used to transform the gauge operator into Gaussian functions and the Obara-Saika recursion is used for reducing the angular momentum. The other algorithm is the second derivative of inverse Coulomb interaction evaluated with Rys-quadrature. This work improves the efficiency of performing Dirac-Hartree-Fock with variational treatment of Breit interaction for molecular systems. We use this formalism to examine relativistic trends in the periodic table, and analyze the relativistic two-electron interaction contributions in heavy-element complexes.
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Affiliation(s)
- Shichao Sun
- Chemistry, University of Washington, United States of America
| | | | - Qiming Sun
- Anxian Investment Management Co. Ltd, China
| | - Xiaosong Li
- Department of Chemistry, University of Washington, United States of America
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78
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Handique U, Cao Y, Wang D, Zhang R, Li W, Sun Q, Feng Z, Wu J. First Report of Pectobacterium punjabense Causing Blackleg and Soft Rot on Potato in Hebei and Fujian Province, China. Plant Dis 2022; 106:PDIS12212731PDN. [PMID: 35029508 DOI: 10.1094/pdis-12-21-2731-pdn] [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] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- U Handique
- Inner Mongolia Potato Engineering & Technology Research Center, Inner Mongolia University, Hohhot 010021, China
| | - Y Cao
- Inner Mongolia Potato Engineering & Technology Research Center, Inner Mongolia University, Hohhot 010021, China
| | - D Wang
- Inner Mongolia Potato Engineering & Technology Research Center, Inner Mongolia University, Hohhot 010021, China
| | - R Zhang
- Inner Mongolia Potato Engineering & Technology Research Center, Inner Mongolia University, Hohhot 010021, China
| | - W Li
- Inner Mongolia Potato Engineering & Technology Research Center, Inner Mongolia University, Hohhot 010021, China
| | - Q Sun
- Inner Mongolia Potato Engineering & Technology Research Center, Inner Mongolia University, Hohhot 010021, China
| | - Z Feng
- Inner Mongolia Potato Engineering & Technology Research Center, Inner Mongolia University, Hohhot 010021, China
| | - J Wu
- Inner Mongolia Potato Engineering & Technology Research Center, Inner Mongolia University, Hohhot 010021, China
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79
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Aguilar M, Cavasonza LA, Ambrosi G, Arruda L, Attig N, Barao F, Barrin L, Bartoloni A, Başeğmez-du Pree S, Battiston R, Behlmann M, Berdugo J, Bertucci B, Bindi V, Bollweg K, Borgia B, Boschini MJ, Bourquin M, Bueno EF, Burger J, Burger WJ, Burmeister S, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Feng J, Fiandrini E, Fisher P, Formato V, Freeman C, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grabski V, Grandi D, Graziani M, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Incagli M, Jang WY, Jia Y, Jinchi H, Karagöz G, Khiali B, Kim GN, Kirn T, Konyushikhin M, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, Lazzizzera I, Lee HT, Lee SC, Li HL, Li JQ, Li M, Li Q, Li QY, Li S, Li SL, Li JH, Li ZH, Liang J, Liang MJ, Light C, Lin CH, Lippert T, Liu JH, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo X, Machate F, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Mikhailov VV, Molero M, Mott P, Mussolin L, Negrete J, Nikonov N, Nozzoli F, Ocampo-Peleteiro J, Oliva A, Orcinha M, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Plyaskin V, Pohl M, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Conde AR, Robyn E, Rosier-Lees S, Rozhkov A, Rozza D, Sagdeev R, Schael S, von Dratzig AS, Schwering G, Seo ES, Shan BS, Siedenburg T, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Xiong RQ, Xu W, Yan Q, Yang Y, Yashin II, Yi H, Yu YM, Yu ZQ, Zannoni M, Zhang C, Zhang F, Zhang FZ, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Properties of Daily Helium Fluxes. Phys Rev Lett 2022; 128:231102. [PMID: 35749176 DOI: 10.1103/physrevlett.128.231102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/06/2022] [Indexed: 06/15/2023]
Abstract
We present the precision measurement of 2824 daily helium fluxes in cosmic rays from May 20, 2011 to October 29, 2019 in the rigidity interval from 1.71 to 100 GV based on 7.6×10^{8} helium nuclei collected with the Alpha Magnetic Spectrometer (AMS) aboard the International Space Station. The helium flux and the helium to proton flux ratio exhibit variations on multiple timescales. In nearly all the time intervals from 2014 to 2018, we observed recurrent helium flux variations with a period of 27 days. Shorter periods of 9 days and 13.5 days are observed in 2016. The strength of all three periodicities changes with time and rigidity. In the entire time period, we found that below ∼7 GV the helium flux exhibits larger time variations than the proton flux, and above ∼7 GV the helium to proton flux ratio is time independent. Remarkably, below 2.4 GV a hysteresis between the helium to proton flux ratio and the helium flux was observed at greater than the 7σ level. This shows that at low rigidity the modulation of the helium to proton flux ratio is different before and after the solar maximum in 2014.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Ali Cavasonza
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - S Başeğmez-du Pree
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - R Battiston
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
| | - M Behlmann
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Berdugo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - B Bertucci
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - V Bindi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K Bollweg
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - B Borgia
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - M J Boschini
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - E F Bueno
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - S Burmeister
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - X D Cai
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Capell
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - G R Chen
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Y Chen
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - L Cheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - H Y Chou
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - S Chouridou
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - V Choutko
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - C H Chung
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Clark
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Coignet
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C Consolandi
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Contin
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - C Corti
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - Z Cui
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - K Dadzie
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Dass
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
| | - C Delgado
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - M B Demirköz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
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- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | | | - V Di Felice
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Díaz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | - P von Doetinchem
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Dong
- Southeast University (SEU), Nanjing 210096, China
| | - F Donnini
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - M Duranti
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - A Egorov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Eline
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Feng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - E Fiandrini
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - P Fisher
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Formato
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - C Freeman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C Gámez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - R J García-López
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - C Gargiulo
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - H Gast
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Gervasi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - F Giovacchini
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - D M Gómez-Coral
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - J Gong
- Southeast University (SEU), Nanjing 210096, China
| | - C Goy
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - V Grabski
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México 01000, Mexico
| | - D Grandi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - M Graziani
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Haino
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - K C Han
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - R K Hashmani
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - Z H He
- Sun Yat-Sen University (SYSU), Guangzhou 510275, China
| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Incagli
- INFN Sezione di Pisa, 56100 Pisa, Italy
| | - W Y Jang
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Yi Jia
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Jinchi
- National Chung-Shan Institute of Science and Technology (NCSIST), Longtan, Tao Yuan 32546, Taiwan
| | - G Karagöz
- Department of Physics, Middle East Technical University (METU), 06800 Ankara, Turkey
| | - B Khiali
- INFN Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - G N Kim
- CHEP, Kyungpook National University, 41566 Daegu, Korea
| | - Th Kirn
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - M Konyushikhin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - O Kounina
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kounine
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
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- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Krasnopevtsev
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Kuhlman
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - A Kulemzin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G La Vacca
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - E Laudi
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - G Laurenti
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - I Lazzizzera
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - H L Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - M Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - Q Li
- Southeast University (SEU), Nanjing 210096, China
| | - Q Y Li
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - S L Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Li
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - M J Liang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Light
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
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- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
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- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
- Southeast University (SEU), Nanjing 210096, China
| | - Xi Luo
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - F Machate
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marquardt
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T Martin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México 01000, Mexico
| | - Q Meng
- Southeast University (SEU), Nanjing 210096, China
| | - V V Mikhailov
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow 115409, Russia
| | - M Molero
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Negrete
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - N Nikonov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - F Nozzoli
- INFN TIFPA, 38123 Povo, Trento, Italy
| | - J Ocampo-Peleteiro
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - A Oliva
- INFN Sezione di Bologna, 40126 Bologna, Italy
| | - M Orcinha
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - M Palermo
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - V Plyaskin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pohl
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Poluianov
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
- Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan
| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
| | - D Rapin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - A Reina Conde
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - E Robyn
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Rosier-Lees
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - A Rozhkov
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - D Rozza
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - R Sagdeev
- East-West Center for Space Science, University of Maryland, College Park, Maryland 20742, USA
| | - S Schael
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | | | - G Schwering
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - E S Seo
- IPST, University of Maryland, College Park, Maryland 20742, USA
| | - B S Shan
- Beihang University (BUAA), Beijing 100191, China
| | - T Siedenburg
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J W Song
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - X J Song
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - R Sonnabend
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - L Strigari
- INFN Sezione di Roma 1, 00185 Roma, Italy
| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - J Tian
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - Samuel C C Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | - S M Ting
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - N Tomassetti
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Torsti
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - T Urban
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - I Usoskin
- Sodankylä Geophysical Observatory and Space Physics and Astronomy Research Unit, University of Oulu, 90014 Oulu, Finland
| | - V Vagelli
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Agenzia Spaziale Italiana (ASI), 00133 Roma, Italy
| | - R Vainio
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Valencia-Otero
- Physics Department and Center for High Energy and High Field Physics, National Central University (NCU), Tao Yuan 32054, Taiwan
| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
- Università di Roma La Sapienza, 00185 Roma, Italy
| | - E Valtonen
- Space Research Laboratory, Department of Physics and Astronomy, University of Turku, 20014 Turku, Finland
| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing 210096, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing 210096, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - I I Yashin
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow 115409, Russia
| | - H Yi
- Southeast University (SEU), Nanjing 210096, China
| | - Y M Yu
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - M Zannoni
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - J H Zhang
- Southeast University (SEU), Nanjing 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
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Nagel A, Radziszewski M, Khatri B, Wiley MM, Stolarczyk AM, Joachims ML, Sun Q, Kim K, Bae SC, Tsao B, Lessard C. POS0456 AUTOPHAGY-RELATED RISK LOCI IN SLE AND THEIR ROLE IN NEUTROPHILS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundSystemic lupus erythematous (SLE) is an autoimmune disease with ~150 established susceptibility risk loci. Genome wide-association (GWA) studies in SLE cases and controls of Korean ancestry identified the SLE risk locus ATG16L2-P2RY2, and rs11235604 as a SLE-associated missense variant (R220W) of Autophagy Related 16 Like 2 (ATG16L2) [1]. PRDM1-ATG5 is also an SLE risk locus in European populations that is implicated in autophagy. Autophagy plays a crucial role in neutrophil extracellular trap (NET) formation, degranulation, and limiting autoantigens in blood. Dysregulated autophagy has been implicated in SLE pathology and poor disease outcomes. The function of ATG16L2 is unknown, but evidence suggests it may function as a negative regulator of autophagosome formation [2].ObjectivesTo identify autophagy-related SLE risk variants shared across different ancestry populations and define the role of ATG16L2 in SLE and autophagy.MethodsSLE case-control GWA scans from European (7568 cases; 1082 controls), African American (4336 cases; 935 controls), Hispanic (3752 cases; 1840 controls), and Korean (1173 cases; 4213 controls) populations were imputed and SNP associations tested. Meta-analysis was performed, then Bayesian statistics were used to define a credible SNP set. Bioinformatic analyses (RegulomeDB, promoter capture Hi-C, eQTLs, etc.) further prioritized SNPs based on predicted functionality. The functional significance of autophagy SLE risk genes, ATG16L1, ATG16L,2 and ATG5, were tested by CRISPR knockout (KO) in PLB-985 cell line. CRISPR-targeted single cell clones were screened for ATG16L1, ATG16L2 or ATG5 deletion using qPCR, NanoPore sequencing, and Western blotting. Changes in autophagy were assessed by Western blotting and confocal microscopy.ResultsTransracial fine-mapping of PRDM1-ATG5 locus identified two SNP associations shared across the credible sets in all populations: rs56886418 (p=1.38x10-5) located in the intron of PRDM1 and rs77791277 (p=1.38x10-5) that tagged a group of SNPs in strong linkage disequilibrium. Cross comparison of the credible SNP sets and bioinformatic analyses of shared SNPs identified rs533733 and rs9373843 as additional likely functional variants. Bioinformatic analyses prioritized rs56886418, an eQTL for ATG5 (p=0.05) and PRDM1 (p=4.75x10-7) in blood cells positioned in a topologically associated domain (TAD) that may interact with ATG5 and PRDM1 promoters in EBV-transformed B cells. SNP rs533733 is an eQTL for ATG5 in neutrophils (p=0.006) and is in a TAD 6.4kb 3’ of PRDM1 that interacts with the ATG5 promoter region where rs9373843 (eQTL of ATG5 in neutrophils (p=0.04)) is positioned. These data suggest that risk SNPs on the PRDM1-ATG5 locus may modulate ATG5 expression and autophagy in specific cell types by modulating the local chromatin regulatory network.To assess the roles of ATG5, ATG16L1 and ATG16L2 in autophagy, PMA/I-induced hallmarks of autophagy, LC3-I and LC3-II conversion and p62 protein aggregation, were assessed in homozygous and heterozygous ATG5, ATG16L1, or ATG16L2 CRISPR KO PLB-985 cells by Western blotting and confocal microscopy. Loss of ATG5 or ATG16L1 impaired PMA/I-induced autophagosome formation in myeloid-like and differentiated neutrophil-like PLB-985 cells. In contrast, loss of ATG16L2 elevated the conversion of LC3-I to LC3-II and p62 protein aggregation in both cell types, suggesting that ATG16L2 may inhibit autophagy.ConclusionFunctional characterization of SNPs on the PRDM1-ATG5 and ATG16L2-P2RY2 loci, and the functional characterization of ATG16L2 in myeloid and neutrophil cell lines, provide new insights into the mechanisms that regulate autophagy in health and disease. Ongoing studies will focus on in vitro validation of predicted functional SNPs and will introduce ATG16L2 rs11235604 risk variant in PLB-985 cells to assess its importance in autophagy.References[1]Lessard CJ, et al. Arthritis Rheumatol. 2016; 68(5):1197-1209.[2]Wible DJ, et al. Cell Discov. 2019; 5:42.Disclosure of InterestsNone declared.
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Sun Q, Xie YJ, Chen TM, Zhang JP, Laborda P, Wang SY. First Report of Fusarium avenaceum Causing Canker Disease on Kiwi Tree in China. Plant Dis 2022; 106:PDIS11212459PDN. [PMID: 35021869 DOI: 10.1094/pdis-11-21-2459-pdn] [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] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Q Sun
- School of Life Sciences, Nantong University, Nantong 226019, People's Republic of China
| | - Y-J Xie
- School of Life Sciences, Nantong University, Nantong 226019, People's Republic of China
| | - T-M Chen
- School of Life Sciences, Nantong University, Nantong 226019, People's Republic of China
| | - J-P Zhang
- Agricultural Technology Promotion Centre of Hanzhong (Shaanxi), Hanzhong 723000, People's Republic of China
| | - P Laborda
- School of Life Sciences, Nantong University, Nantong 226019, People's Republic of China
| | - S-Y Wang
- School of Life Sciences, Nantong University, Nantong 226019, People's Republic of China
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82
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Barnard MA, Emani SR, Fortner SK, Haygood L, Sun Q, White‐Newsome JL, Zaitchik B. GeoHealth Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science. Earth Space Sci 2022; 9:e2021EA002157. [PMID: 35846575 PMCID: PMC9285380 DOI: 10.1029/2021ea002157] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 04/08/2022] [Accepted: 04/20/2022] [Indexed: 06/15/2023]
Abstract
GeoHealth research both characterizes and predicts problems at the nexus of earth and human systems like climate change, pollution, and natural hazards. While GeoHealth excels in the area of integrated science, there is a need to improve coordinated and networked efforts to produce open science to enable environmental justice. There is a need to resource and empower frontline populations that are disproportionately marginalized by environmental injustice (i.e., the unequal protection from environmental harms and lack of access and meaningful engagement in decision making for a healthy environment; EPA, 2022, https://www.epa.gov/environmentaljustice). GeoHealth practice has the opportunity to advance environmental justice or the "fair treatment and meaningful involvement of all people regardless of race, color, national origin, or income" with respect to how research and collaboration of GeoHealth professionals supports the "development, implementation, and enforcement of environmental laws, regulations, and policies" that produce equal protection from environmental and health hazards and access to the decision making for a health environment (EPA, 2022, https://www.epa.gov/environmentaljustice). Here we highlight barriers and opportunities to apply an equity-centered ICON framework to the field of GeoHealth to advance environmental justice and health equity.
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Affiliation(s)
| | - S. R. Emani
- US Department of AgricultureAgricultural Research ServiceBeltsvilleMDUSA
| | - S. K. Fortner
- Science Education Resource Center200 Division StreetCarleton CollegeNorthfieldMNUSA
| | - L. Haygood
- Department of GeosciencesThe University of TulsaTulsaOKUSA
- Boone Pickens School of GeologyOklahoma State UniversityStillwaterOKUSA
| | - Q. Sun
- Institute of Surface Earth System ScienceSchool of Earth System ScienceTianjin UniversityTianjinChina
| | | | - B. Zaitchik
- Department of Earth & Planetary SciencesJohns Hopkins UniversityBaltimoreMDUSA
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83
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Lin Y, Xu Y, Cao X, Zhou XT, Zhou YD, Mao F, Wang CJ, Xu YL, Sun Q. [Comprehensive treatment options and influencing factors in elderly patients with breast cancer]. Zhonghua Yi Xue Za Zhi 2022; 102:428-434. [PMID: 35144343 DOI: 10.3760/cma.j.cn112137-20210929-02186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the treatment options for breast cancer patients aged 65 and over, and analyze the influencing factors. Methods: The clinical data of 521 elderly patients aged 65 years or older,who underwent surgery in Peking Union Medical College Hospital from January 2009 to December 2015, were collected. They were all female and 65-98 years old. The patients were divided into 65-74 years old group (n=353) and ≥ 75 years old group (n=168). The differences of variables including age, functional status, treatment methods, pathological characteristics, comorbidities and survival time between the two groups were compared, and the differences of comprehensive treatment methods and their impact on clinical efficacy were analyzed. Results: The main operation methods of the two groups were modified radical mastectomy [39.1% (138/353) and 33.9% (57/168), respectively], breast conserving surgery [56.9% (201/353) and 61.3% (103/353), respectively]. Among the patients choosing adjuvant therapy, there was no significant difference between the two groups except chemotherapy (all P>0.05). Univariate analysis showed that the choice of chemotherapy was related to age, surgical methods, pathological types, tumor burden, molecular typing, functional status and comorbidities (all P<0.05). The Eastern Cooperative Oncology Group (ECOG) score and the number of comorbidities were independent factors affecting the choice of chemotherapy for breast cancer in the elderly: [ECOG score: adjusted OR=0.45 (95CI: 0.26-0.75), number of comorbidities: adjusted OR = 0.63 (95CI:0.41-0.98); all P<0.05]. The 5-year disease-free survival rate of 521 elderly patients with breast cancer was 86.3%, 5-year overall survival rate was 88.8%, and the breast cancer specific survival rate was 94.3%. Conclusions: The comprehensive treatment of breast cancer patients aged 65 and above is not affected by age, but is associated with tumor burden, pathological type, molecular typing, comorbidities and ECOG score. Among them, ECOG score and the number of comorbidities are the independent factors influencing the choice of adjuvant chemotherapy.
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Affiliation(s)
- Y Lin
- Department of Breast Surgery, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences and PUMC, Beijing 100730, China
| | - Y Xu
- Department of Breast Surgery, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences and PUMC, Beijing 100730, China
| | - X Cao
- Department of Breast Surgery, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences and PUMC, Beijing 100730, China
| | - X T Zhou
- Department of Breast Surgery, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences and PUMC, Beijing 100730, China
| | - Y D Zhou
- Department of Breast Surgery, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences and PUMC, Beijing 100730, China
| | - F Mao
- Department of Breast Surgery, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences and PUMC, Beijing 100730, China
| | - C J Wang
- Department of Breast Surgery, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences and PUMC, Beijing 100730, China
| | - Y L Xu
- Department of Breast Surgery, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences and PUMC, Beijing 100730, China
| | - Q Sun
- Department of Breast Surgery, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences and PUMC, Beijing 100730, China
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84
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Cao QW, Sun Q. [Primary pseudomyogenic hemangioendothelioma of bone:a clinicopathological analysis of two cases]. Zhonghua Bing Li Xue Za Zhi 2022; 51:132-134. [PMID: 35152632 DOI: 10.3760/cma.j.cn112151-20210609-00430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Q W Cao
- Department of Pathology, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pathology, Shandong Lung Cancer Institute, Shandong Institute of Nephrology, Jinan 250012, China
| | - Q Sun
- Department of Pathology, the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Clinical Pathology, Shandong Lung Cancer Institute, Shandong Institute of Nephrology, Jinan 250012, China
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85
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Wang RQ, Wu HY, Fan XS, Sun Q. [Adult diffuse intestinal ganglioneuromatosis: report of two cases]. Zhonghua Bing Li Xue Za Zhi 2022; 51:141-143. [PMID: 35152635 DOI: 10.3760/cma.j.cn112151-20210810-00563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- R Q Wang
- Department of Pathology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - H Y Wu
- Department of Pathology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - X S Fan
- Department of Pathology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Q Sun
- Department of Pathology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
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86
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Li S, Yan R, Xu J, Zhao S, Ma X, Sun Q, Zhang M, Li Y, Liu JJG, Chen L, Li S, Xu K, Ge L. A new type of ERGIC-ERES membrane contact mediated by TMED9 and SEC12 is required for autophagosome biogenesis. Cell Res 2022; 32:119-138. [PMID: 34561617 PMCID: PMC8461442 DOI: 10.1038/s41422-021-00563-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/23/2021] [Indexed: 02/08/2023] Open
Abstract
Under stress, the endomembrane system undergoes reorganization to support autophagosome biogenesis, which is a central step in autophagy. How the endomembrane system remodels has been poorly understood. Here we identify a new type of membrane contact formed between the ER-Golgi intermediate compartment (ERGIC) and the ER-exit site (ERES) in the ER-Golgi system, which is essential for promoting autophagosome biogenesis induced by different stress stimuli. The ERGIC-ERES contact is established by the interaction between TMED9 and SEC12 which generates a short distance opposition (as close as 2-5 nm) between the two compartments. The tight membrane contact allows the ERES-located SEC12 to transactivate COPII assembly on the ERGIC. In addition, a portion of SEC12 also relocates to the ERGIC. Through both mechanisms, the ERGIC-ERES contact promotes formation of the ERGIC-derived COPII vesicle, a membrane precursor of the autophagosome. The ERGIC-ERES contact is physically and functionally different from the TFG-mediated ERGIC-ERES adjunction involved in secretory protein transport, and therefore defines a unique endomembrane structure generated upon stress conditions for autophagic membrane formation.
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Affiliation(s)
- Shulin Li
- State Key Laboratory of Membrane Biology, Beijing, China ,grid.452723.50000 0004 7887 9190Tsinghua-Peking Center for Life Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178School of Life Sciences, Tsinghua University, Beijing, China
| | - Rui Yan
- grid.47840.3f0000 0001 2181 7878Department of Chemistry, University of California, Berkeley, CA USA
| | - Jialu Xu
- grid.452723.50000 0004 7887 9190Tsinghua-Peking Center for Life Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178School of Life Sciences, Tsinghua University, Beijing, China ,Beijing Advanced Innovation Center for Structural Biology, Beijing, China
| | - Shiqun Zhao
- grid.11135.370000 0001 2256 9319Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, China ,grid.419265.d0000 0004 1806 6075National Center for Nanoscience and Technology, Beijing, China
| | - Xinyu Ma
- State Key Laboratory of Membrane Biology, Beijing, China ,grid.452723.50000 0004 7887 9190Tsinghua-Peking Center for Life Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178School of Life Sciences, Tsinghua University, Beijing, China
| | - Qiming Sun
- grid.13402.340000 0004 1759 700XDepartment of Biochemistry, Department of Cardiology of Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang China
| | - Min Zhang
- State Key Laboratory of Membrane Biology, Beijing, China ,grid.452723.50000 0004 7887 9190Tsinghua-Peking Center for Life Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178School of Life Sciences, Tsinghua University, Beijing, China
| | - Ying Li
- State Key Laboratory of Membrane Biology, Beijing, China ,grid.452723.50000 0004 7887 9190Tsinghua-Peking Center for Life Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178School of Life Sciences, Tsinghua University, Beijing, China
| | - Jun-Jie Gogo Liu
- grid.452723.50000 0004 7887 9190Tsinghua-Peking Center for Life Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178School of Life Sciences, Tsinghua University, Beijing, China ,Beijing Advanced Innovation Center for Structural Biology, Beijing, China
| | - Liangyi Chen
- grid.11135.370000 0001 2256 9319Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking University, Beijing, China ,grid.419265.d0000 0004 1806 6075National Center for Nanoscience and Technology, Beijing, China
| | - Sai Li
- grid.452723.50000 0004 7887 9190Tsinghua-Peking Center for Life Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178School of Life Sciences, Tsinghua University, Beijing, China ,Beijing Advanced Innovation Center for Structural Biology, Beijing, China
| | - Ke Xu
- grid.47840.3f0000 0001 2181 7878Department of Chemistry, University of California, Berkeley, CA USA
| | - Liang Ge
- State Key Laboratory of Membrane Biology, Beijing, China ,grid.452723.50000 0004 7887 9190Tsinghua-Peking Center for Life Sciences, Beijing, China ,grid.12527.330000 0001 0662 3178School of Life Sciences, Tsinghua University, Beijing, China
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87
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Abstract
Propylene is one of the building blocks of the modern industrial mansion, which is the feeding stock for polypropylene, acrylonitrile, and other important chemicals. Propane dehydrogenation (PDH) is one of...
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88
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Zhao Y, Sun Q, Liu X, Li D, Xing S. Cu/Co/CoS2 embedded in S,N doped carbon as highly-efficient oxygen reduction and evolution electrocatalyst for rechargeable zinc-air batteries. Inorg Chem Front 2022. [DOI: 10.1039/d1qi01605a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
In order to improve the retarded oxygen reduction and evolution reaction (ORR/OER) in rechargeable metal-air cells in electrochemical energy conversion systems, constructing multiphase nanostructured catalysts is an alternative strategy, where...
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89
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Wang W, Sun Q, Wang Q, Li S, Xu J, Deng F. Heterogeneous parahydrogen induced polarization on Rh-containing silicalite-1 zeolites: effect of the catalyst structure on signal enhancement. Catal Sci Technol 2022. [DOI: 10.1039/d2cy00615d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Parahydrogen-induced polarization (PHIP) on Rh-containing silicalite-1 catalysts is studied using both liquid-state and in situ magic angle spinning NMR techniques and the catalyst structure effect is revealed.
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Affiliation(s)
- Weiyu Wang
- National Centre for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qiming Sun
- Innovation Center for Chemical Sciences, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China
| | - Qiang Wang
- National Centre for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shenhui Li
- National Centre for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jun Xu
- National Centre for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Feng Deng
- National Centre for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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90
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Li C, Yan C, Sun Q, Wang J, Yuan C, Mou Y, Shan S, Zhao X. Proteomic profiling of Arachis hypogaea in response to drought stress and overexpression of AhLEA2 improves drought tolerance. Plant Biol (Stuttg) 2022; 24:75-84. [PMID: 34694687 DOI: 10.1111/plb.13351] [Citation(s) in RCA: 2] [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: 06/24/2021] [Accepted: 09/09/2021] [Indexed: 06/13/2023]
Abstract
Drought is the main factor restricting peanut growth, but the molecular mechanism underlying peanut drought tolerance remains unclear. Herein, the seedling stage of drought-resistant peanut cultivar J11 was subjected to drought stress, and its proteomic profile was systematically analysed by isobaric tags for relative and absolute quantification (iTRAQ), the results of which were further complemented with our previous transcriptome results. A total of 4,018 proteins were identified by proteomic analysis, which revealed that the expression levels of 69 proteins were altered under drought stress. Among the differentially expressed proteins (DEPs), 50 were upregulated, and 19 were downregulated. The most enriched metabolic pathways for these DEPs were those involving phenylpropanoid biosynthesis, flavonoid biosynthesis, and plant hormone signal transduction. The proteomic data and previous transcriptome results revealed 44 groups of genes/proteins with the same expression trend, including a LEA (Late embryogenesis abundant) gene, AhLEA2. Our present study showed that overexpression of the AhLEA2 gene enhanced the drought resistance of transgenic Arabidopsis plants, and the activities of related antioxidant enzymes in the transgenic plants significantly changed. The AhLEA2 gene was found to be located in the cytoplasm and cell membrane by subcellular localization experiments. This work systematically analysed the differentially expressed proteins in peanut in response to drought stress, providing important candidates for further functional analysis of the stress response of peanut. Our results also indicated that AhLEA2 plays an important role in the peanut response to drought stress.
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Affiliation(s)
- C Li
- Department of Breeding, Shandong Peanut Research Institute, Qingdao, China
| | - C Yan
- Department of Breeding, Shandong Peanut Research Institute, Qingdao, China
| | - Q Sun
- Department of Breeding, Shandong Peanut Research Institute, Qingdao, China
| | - J Wang
- Department of Breeding, Shandong Peanut Research Institute, Qingdao, China
| | - C Yuan
- Department of Breeding, Shandong Peanut Research Institute, Qingdao, China
| | - Y Mou
- Department of Breeding, Shandong Peanut Research Institute, Qingdao, China
| | - S Shan
- Department of Breeding, Shandong Peanut Research Institute, Qingdao, China
| | - X Zhao
- Department of Breeding, Shandong Peanut Research Institute, Qingdao, China
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91
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Sun Q, Yang Y, Wang X, Yang R, Li X. The Association between Sugar-Sweetened Beverages and Cognitive Function in Middle-Aged and Older People: A Meta-Analysis. J Prev Alzheimers Dis 2022; 9:323-330. [PMID: 35543006 DOI: 10.14283/jpad.2021.71] [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] [Indexed: 06/14/2023]
Abstract
OBJECTIVE To explore the association between the intake of sugar-sweetened beverages and cognitive dysfunction in middle-aged and older adults, so as to provide an evidence-based basis for the early prevention of cognitive dysfunction. METHODS A comprehensive search of relevant literature was conducted in PubMed, EMBase, Cochrane, ScienceDirect, and Web of Science from the inception until January 2021. Odds ratios (OR), hazard ratios (HR) and 95% confidence intervals (CI) were calculated using a random-effects, generic inverse variance method. Meta-analysis of the included studies was performed using Review Manager 5.4. RESULTS A total of 10 studies on the association between sugary beverages and cognitive dysfunction in middle-aged and older adults were included, of which 3 were cross-sectional studies and the rest were cohort studies. Eight of the ten studies had results suggestive of a negative association. However, Meta-analysis results showed that the association between the intake of sugar-sweetened beverages and the risk of cognitive impairment was not statistically significant (OR=1.59, 95% CI: 0.93-2.74, P=0.08); but from two studies, the hazard ratios of all-cause dementia in middle-aged and older people consuming sugar-sweetened beverages was 2.77 (95%CI: 2.24-3.43, P<0.00001); the hazard ratios of Alzheimer's disease in middle-aged and older people consuming sugar-sweetened beverages was 2.63 (95%CI: 1.70-4.05, P<0.0001). CONCLUSION There is insufficient evidence to state conclusively that sugar-sweetened beverages intake causes cognitive dysfunction in middle-aged and older adults.
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Affiliation(s)
- Q Sun
- X. Li and R. Yang, Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan 250014, China, or ,
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92
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Aguilar M, Cavasonza LA, Ambrosi G, Arruda L, Attig N, Barao F, Barrin L, Bartoloni A, Başeğmez-du Pree S, Battiston R, Behlmann M, Beranek B, Berdugo J, Bertucci B, Bindi V, Bollweg K, Borgia B, Boschini MJ, Bourquin M, Bueno EF, Burger J, Burger WJ, Burmeister S, Cai XD, Capell M, Casaus J, Castellini G, Cervelli F, Chang YH, Chen GM, Chen GR, Chen HS, Chen Y, Cheng L, Chou HY, Chouridou S, Choutko V, Chung CH, Clark C, Coignet G, Consolandi C, Contin A, Corti C, Cui Z, Dadzie K, Dass A, Delgado C, Della Torre S, Demirköz MB, Derome L, Di Falco S, Di Felice V, Díaz C, Dimiccoli F, von Doetinchem P, Dong F, Donnini F, Duranti M, Egorov A, Eline A, Feng J, Fiandrini E, Fisher P, Formato V, Freeman C, Gámez C, García-López RJ, Gargiulo C, Gast H, Gervasi M, Giovacchini F, Gómez-Coral DM, Gong J, Goy C, Grabski V, Grandi D, Graziani M, Haino S, Han KC, Hashmani RK, He ZH, Heber B, Hsieh TH, Hu JY, Incagli M, Jang WY, Jia Y, Jinchi H, Karagöz G, Khiali B, Kim GN, Kirn T, Konyushikhin M, Kounina O, Kounine A, Koutsenko V, Krasnopevtsev D, Kuhlman A, Kulemzin A, La Vacca G, Laudi E, Laurenti G, Lazzizzera I, Lebedev A, Lee HT, Lee SC, Li JQ, Li M, Li Q, Li S, Li JH, Li ZH, Liang J, Light C, Lin CH, Lippert T, Liu JH, Liu Z, Lu SQ, Lu YS, Luebelsmeyer K, Luo JZ, Luo X, Machate F, Mañá C, Marín J, Marquardt J, Martin T, Martínez G, Masi N, Maurin D, Medvedeva T, Menchaca-Rocha A, Meng Q, Mikhailov VV, Molero M, Mott P, Mussolin L, Negrete J, Nikonov N, Nozzoli F, Oliva A, Orcinha M, Palermo M, Palmonari F, Paniccia M, Pashnin A, Pauluzzi M, Pensotti S, Phan HD, Plyaskin V, Pohl M, Poluianov S, Qin X, Qu ZY, Quadrani L, Rancoita PG, Rapin D, Conde AR, Robyn E, Rosier-Lees S, Rozhkov A, Rozza D, Sagdeev R, Schael S, von Dratzig AS, Schwering G, Seo ES, Shakfa Z, Shan BS, Siedenburg T, Solano C, Song JW, Song XJ, Sonnabend R, Strigari L, Su T, Sun Q, Sun ZT, Tacconi M, Tang XW, Tang ZC, Tian J, Ting SCC, Ting SM, Tomassetti N, Torsti J, Urban T, Usoskin I, Vagelli V, Vainio R, Valencia-Otero M, Valente E, Valtonen E, Vázquez Acosta M, Vecchi M, Velasco M, Vialle JP, Wang CX, Wang L, Wang LQ, Wang NH, Wang QL, Wang S, Wang X, Wang Y, Wang ZM, Wei J, Weng ZL, Wu H, Xiong RQ, Xu W, Yan Q, Yang Y, Yashin II, Yi H, Yu YM, Yu ZQ, Zannoni M, Zhang C, Zhang F, Zhang FZ, Zhang JH, Zhang Z, Zhao F, Zheng C, Zheng ZM, Zhuang HL, Zhukov V, Zichichi A, Zuccon P. Periodicities in the Daily Proton Fluxes from 2011 to 2019 Measured by the Alpha Magnetic Spectrometer on the International Space Station from 1 to 100 GV. Phys Rev Lett 2021; 127:271102. [PMID: 35061443 DOI: 10.1103/physrevlett.127.271102] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 09/24/2021] [Accepted: 11/08/2021] [Indexed: 06/14/2023]
Abstract
We present the precision measurement of the daily proton fluxes in cosmic rays from May 20, 2011 to October 29, 2019 (a total of 2824 days or 114 Bartels rotations) in the rigidity interval from 1 to 100 GV based on 5.5×10^{9} protons collected with the Alpha Magnetic Spectrometer aboard the International Space Station. The proton fluxes exhibit variations on multiple timescales. From 2014 to 2018, we observed recurrent flux variations with a period of 27 days. Shorter periods of 9 days and 13.5 days are observed in 2016. The strength of all three periodicities changes with time and rigidity. The rigidity dependence of the 27-day periodicity is different from the rigidity dependences of 9-day and 13.5-day periods. Unexpectedly, the strength of 9-day and 13.5-day periodicities increases with increasing rigidities up to ∼10 GV and ∼20 GV, respectively. Then the strength of the periodicities decreases with increasing rigidity up to 100 GV.
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Affiliation(s)
- M Aguilar
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - L Ali Cavasonza
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - G Ambrosi
- INFN Sezione di Perugia, 06100 Perugia, Italy
| | - L Arruda
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - N Attig
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - F Barao
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), 1649-003 Lisboa, Portugal
| | - L Barrin
- European Organization for Nuclear Research (CERN), 1211 Geneva 23, Switzerland
| | | | - S Başeğmez-du Pree
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - R Battiston
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
| | - M Behlmann
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| | - B Beranek
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Berdugo
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| | - B Bertucci
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| | - V Bindi
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| | - K Bollweg
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| | - B Borgia
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| | - M J Boschini
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| | - M Bourquin
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - E F Bueno
- Kapteyn Astronomical Institute, University of Groningen, P.O. Box 800, 9700 AV Groningen, Netherlands
| | - J Burger
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | | | - S Burmeister
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - X D Cai
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| | - M Capell
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| | - J Casaus
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | | | | | - Y H Chang
- Institute of Physics, Academia Sinica, Nankang, Taipei, 11529, Taiwan
| | - G M Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - G R Chen
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| | - H S Chen
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - Y Chen
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- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong, 250100, China
| | - L Cheng
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| | - H Y Chou
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| | - S Chouridou
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| | - V Choutko
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| | - C H Chung
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| | - C Clark
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| | - G Coignet
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| | - C Consolandi
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| | - A Contin
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| | - C Corti
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| | - Z Cui
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| | - K Dadzie
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| | - A Dass
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| | - C Delgado
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| | | | - M B Demirköz
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| | - L Derome
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| | | | - V Di Felice
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| | - C Díaz
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| | | | - P von Doetinchem
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| | - F Dong
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| | - F Donnini
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| | - M Duranti
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| | - A Egorov
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| | - A Eline
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| | - J Feng
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| | - E Fiandrini
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| | - P Fisher
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| | - V Formato
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| | - C Freeman
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| | - C Gámez
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| | - R J García-López
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| | - C Gargiulo
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| | - H Gast
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| | - M Gervasi
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| | - F Giovacchini
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| | - D M Gómez-Coral
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| | - J Gong
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| | - C Goy
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| | - V Grabski
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| | - D Grandi
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| | - M Graziani
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| | - S Haino
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| | - K C Han
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| | - R K Hashmani
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| | - Z H He
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| | - B Heber
- Institut für Experimentelle und Angewandte Physik, Christian-Alberts-Universität zu Kiel, 24118 Kiel, Germany
| | - T H Hsieh
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - J Y Hu
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| | - W Y Jang
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| | - Yi Jia
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| | - H Jinchi
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| | - G Karagöz
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| | - B Khiali
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| | - G N Kim
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| | - Th Kirn
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| | - M Konyushikhin
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| | - G La Vacca
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| | - E Laudi
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| | - G Laurenti
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| | - I Lazzizzera
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| | - A Lebedev
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| | - H T Lee
- Academia Sinica Grid Center (ASGC), Nankang, Taipei, 11529, Taiwan
| | - S C Lee
- Institute of Physics, Academia Sinica, Nankang, Taipei, 11529, Taiwan
| | - J Q Li
- Southeast University (SEU), Nanjing, 210096, China
| | - M Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - Q Li
- Southeast University (SEU), Nanjing, 210096, China
| | - S Li
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J H Li
- Shandong University (SDU), Jinan, Shandong, 250100, China
| | - Z H Li
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - J Liang
- Shandong University (SDU), Jinan, Shandong, 250100, China
| | - C Light
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - C H Lin
- Institute of Physics, Academia Sinica, Nankang, Taipei, 11529, Taiwan
| | - T Lippert
- Jülich Supercomputing Centre and JARA-FAME, Research Centre Jülich, 52425 Jülich, Germany
| | - J H Liu
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing, 100190, China
| | - Z Liu
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - S Q Lu
- Institute of Physics, Academia Sinica, Nankang, Taipei, 11529, Taiwan
| | - Y S Lu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
| | - K Luebelsmeyer
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - J Z Luo
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| | - Xi Luo
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| | - F Machate
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| | - C Mañá
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J Marín
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| | - J Marquardt
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| | - T Martin
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- National Aeronautics and Space Administration Johnson Space Center (JSC), Houston, Texas 77058, USA
| | - G Martínez
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| | - N Masi
- INFN Sezione di Bologna, 40126 Bologna, Italy
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| | - D Maurin
- Université Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - T Medvedeva
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - A Menchaca-Rocha
- Instituto de Física, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, 01000 Mexico
| | - Q Meng
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| | - V V Mikhailov
- NRNU MEPhI (Moscow Engineering Physics Institute), Moscow, 115409 Russia
| | - M Molero
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - P Mott
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
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| | - L Mussolin
- INFN Sezione di Perugia, 06100 Perugia, Italy
- Università di Perugia, 06100 Perugia, Italy
| | - J Negrete
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| | - N Nikonov
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| | - F Nozzoli
- INFN TIFPA, 38123 Povo, Trento, Italy
| | - A Oliva
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| | - M Orcinha
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| | - M Palermo
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| | - F Palmonari
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - M Paniccia
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| | - A Pashnin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Pauluzzi
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- Università di Perugia, 06100 Perugia, Italy
| | - S Pensotti
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| | - H D Phan
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| | - V Plyaskin
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| | - M Pohl
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| | - S Poluianov
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| | - X Qin
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Z Y Qu
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| | - L Quadrani
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P G Rancoita
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| | - D Rapin
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| | - A Reina Conde
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - E Robyn
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| | - S Rosier-Lees
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| | - A Rozhkov
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| | - D Rozza
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| | - R Sagdeev
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| | - S Schael
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| | | | - G Schwering
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| | - E S Seo
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| | - Z Shakfa
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| | - B S Shan
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| | - T Siedenburg
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| | - C Solano
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| | - J W Song
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| | - X J Song
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| | - R Sonnabend
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| | - L Strigari
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| | - T Su
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong, 250100, China
| | - Q Sun
- Shandong University (SDU), Jinan, Shandong, 250100, China
| | - Z T Sun
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - M Tacconi
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - X W Tang
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| | - Z C Tang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
| | - J Tian
- INFN Sezione di Perugia, 06100 Perugia, Italy
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| | - Samuel C C Ting
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| | - S M Ting
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| | - N Tomassetti
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| | - I Usoskin
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| | - V Vagelli
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| | - R Vainio
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| | - M Valencia-Otero
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| | - E Valente
- INFN Sezione di Roma 1, 00185 Roma, Italy
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| | - E Valtonen
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| | - M Vázquez Acosta
- Instituto de Astrofísica de Canarias (IAC), 38205 La Laguna, and Departamento de Astrofísica, Universidad de La Laguna, 38206 La Laguna, Tenerife, Spain
| | - M Vecchi
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| | - M Velasco
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040 Madrid, Spain
| | - J P Vialle
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LAPP-IN2P3, 74000 Annecy, France
| | - C X Wang
- Shandong University (SDU), Jinan, Shandong, 250100, China
| | - L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing, 100190, China
| | - L Q Wang
- Shandong University (SDU), Jinan, Shandong, 250100, China
| | - N H Wang
- Shandong University (SDU), Jinan, Shandong, 250100, China
| | - Q L Wang
- Institute of Electrical Engineering (IEE), Chinese Academy of Sciences, Beijing, 100190, China
| | - S Wang
- Physics and Astronomy Department, University of Hawaii, Honolulu, Hawaii 96822, USA
| | - X Wang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Yu Wang
- Shandong University (SDU), Jinan, Shandong, 250100, China
| | - Z M Wang
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong, 250100, China
| | - J Wei
- DPNC, Université de Genève, 1211 Genève 4, Switzerland
| | - Z L Weng
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - H Wu
- Southeast University (SEU), Nanjing, 210096, China
| | - R Q Xiong
- Southeast University (SEU), Nanjing, 210096, China
| | - W Xu
- Shandong University (SDU), Jinan, Shandong, 250100, China
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong, 250100, China
| | - Q Yan
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - Y Yang
- National Cheng Kung University, Tainan, 70101, Taiwan
| | - I I Yashin
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| | - Y M Yu
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| | - Z Q Yu
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
| | - M Zannoni
- INFN Sezione di Milano-Bicocca, 20126 Milano, Italy
- Università di Milano-Bicocca, 20126 Milano, Italy
| | - C Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
| | - F Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
| | - F Z Zhang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - J H Zhang
- Southeast University (SEU), Nanjing, 210096, China
| | - Z Zhang
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - F Zhao
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
- University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China
| | - C Zheng
- Shandong Institute of Advanced Technology (SDIAT), Jinan, Shandong, 250100, China
| | - Z M Zheng
- Beihang University (BUAA), Beijing, 100191, China
| | - H L Zhuang
- Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, Beijing, 100049, China
| | - V Zhukov
- I. Physics Institute and JARA-FAME, RWTH Aachen University, 52056 Aachen, Germany
| | - A Zichichi
- INFN Sezione di Bologna, 40126 Bologna, Italy
- Università di Bologna, 40126 Bologna, Italy
| | - P Zuccon
- INFN TIFPA, 38123 Povo, Trento, Italy
- Università di Trento, 38123 Povo, Trento, Italy
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Tan M, Li S, Juillard F, Chitas R, Custódio TF, Xue H, Szymula A, Sun Q, Liu B, Álvarez ÁL, Chen S, Huang J, Simas JP, McVey CE, Kaye KM. MLL1 is regulated by KSHV LANA and is important for virus latency. Nucleic Acids Res 2021; 49:12895-12911. [PMID: 34850113 PMCID: PMC8682764 DOI: 10.1093/nar/gkab1094] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 09/29/2021] [Accepted: 10/20/2021] [Indexed: 01/19/2023] Open
Abstract
Mixed lineage leukemia 1 (MLL1) is a histone methyltransferase. Kaposi's sarcoma-associated herpesvirus (KSHV) is a leading cause of malignancy in AIDS. KSHV latently infects tumor cells and its genome is decorated with epigenetic marks. Here, we show that KSHV latency-associated nuclear antigen (LANA) recruits MLL1 to viral DNA where it establishes H3K4me3 modifications at the extensive KSHV terminal repeat elements during primary infection. LANA interacts with MLL1 complex members, including WDR5, integrates into the MLL1 complex, and regulates MLL1 activity. We describe the 1.5-Å crystal structure of N-terminal LANA peptide complexed with MLL1 complex member WDR5, which reveals a potential regulatory mechanism. Disruption of MLL1 expression rendered KSHV latency establishment highly deficient. This deficiency was rescued by MLL1 but not by catalytically inactive MLL1. Therefore, MLL1 is LANA regulable and exerts a central role in virus infection. These results suggest broad potential for MLL1 regulation, including by non-host factors.
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Affiliation(s)
- Min Tan
- Departments of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Shijun Li
- Departments of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Franceline Juillard
- Departments of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Rute Chitas
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras 2780-157, Portugal
| | - Tânia F Custódio
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras 2780-157, Portugal
| | - Han Xue
- State Key Laboratory of Molecular Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 200031 Shanghai, China
| | - Agnieszka Szymula
- Departments of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Qiming Sun
- Departments of Biochemistry and Cardiology, Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang 310058, China
| | - Bing Liu
- Departments of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Ángel L Álvarez
- Departments of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - She Chen
- Proteomics Center, National Institute of Biological Sciences, Beijing 102206, China
| | - Jing Huang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Institute of Precision Medicine, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine 200125 Shanghai, China
| | - J Pedro Simas
- Instituto de Medicina Molecular, Avenida Professor Egas Moniz, 1649-028 Lisboa, Portugal.,Católica Biomedical Research, Católica Medical School, Universidade Católica Portuguesa, Palma de Cima, 1649-023 Lisboa, Portugal
| | - Colin E McVey
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras 2780-157, Portugal
| | - Kenneth M Kaye
- Departments of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
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94
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Zhu GL, Chen SH, Fan XD, Fan JC, Men XL, Zhang YM, Sun Q, Zhang B, Ji RG, Wang S, Tong B, Zhang J, Wu SL, Jiang XZ. [A prospective cohort study on BMI levels and risk of acute pancreatitis]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:2131-2137. [PMID: 34954976 DOI: 10.3760/cma.j.cn112338-20201027-01286] [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] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the effects of body mass index (BMI) levels at different baseline on the risk of new-onset acute pancreatitis (AP). Methods: The subjects were from the Kailuan Study Cohort and divided into 3 groups according to baseline BMI levels: BMI<24 kg/m2, normal weight; BMI 24-28 kg/m2, overweight; BMI≥28 kg/m2, obesity. The incidence of new-onset AP in these three groups was analyzed. The survival curve was plotted by Kaplan-Meier method, the cumulative incidence was calculated and tested by log-rank method. Multivariate Cox proportional hazards regression model was used to calculate HR of baseline BMI levels for AP. Results: A total of 123 841 subjects were included and followed up for (11.94±2.13) years, during which, 395 cases were found with AP. The incidence of AP was 2.67 per 10 000 person years in total population, and the incidences of AP were 2.20, 2.72 and 3.58 per 10 000 person-years in the normal, overweight and obesity groups, respectively. The cumulative incidences of AP was 0.32%, 0.40% and 0.49% in normal, overweight and obesity groups, respectively, which showed a significant inter-group difference by log-rank test (χ 2=13.17,P<0.01). The results of multivariable adjusted Cox proportional hazards regression model analysis indicated that obesity group (HR=1.45, 95%CI: 1.10-1.92) had a higher risk for AP compared with the normal BMI group. The subgroup analyses by age and sex showed that compared with the normal weight group,the HRs for AP in the obesity group was 1.58(95%CI:1.14-2.19) and 1.40(95%CI:1.03-1.90) among subjects younger than 60 years old and male subjects, respectively. After excluded onset AP within two years from baseline,with a control group from normal weight,the results of multivariate Cox proportional hazards regression model analysis indicated that the AP in the obesity group was 1.60 (95%CI: 1.18-2.15). Conclusion: Obesity may increase the risk of developing AP, particularly among young and middle-aged men.
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Affiliation(s)
- G L Zhu
- Department of Gastroenterology, Kailuan General Hospital, Tangshan 063000, China
| | - S H Chen
- Healthcare Center of Kailuan Group, Tangshan 063000, China
| | - X D Fan
- Department of Cardiothoracic Surgery, Kailuan General Hospital, Tangshan 063000, China
| | - J C Fan
- Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014010, China
| | - X L Men
- North China University of Science and Technology, Tangshan 063000, China
| | - Y M Zhang
- Department of Gastroenterology, Tangshan Central Hospital, Tangshan 063000, China
| | - Q Sun
- No.3 Ward of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan 063000, China
| | - B Zhang
- No.3 Ward of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan 063000, China
| | - R G Ji
- No.3 Ward of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan 063000, China
| | - S Wang
- Department of Gastroenterology, Kailuan General Hospital, Tangshan 063000, China
| | - B Tong
- Department of Gastroenterology, Kailuan General Hospital, Tangshan 063000, China
| | - J Zhang
- Department of Gastroenterology, Kailuan General Hospital, Tangshan 063000, China
| | - S L Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan 063000, China
| | - X Z Jiang
- Department of Gastroenterology, Kailuan General Hospital, Tangshan 063000, China
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95
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Sun Q, Wang N, Yu J. Advances in Catalytic Applications of Zeolite-Supported Metal Catalysts. Adv Mater 2021; 33:e2104442. [PMID: 34611941 DOI: 10.1002/adma.202104442] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/15/2021] [Indexed: 06/13/2023]
Abstract
Zeolites possessing large specific surface areas, ordered micropores, and adjustable acidity/basicity have emerged as ideal supports to immobilize metal species with small sizes and high dispersities. In recent years, the zeolite-supported metal catalysts have been widely used in diverse catalytic processes, showing excellent activity, superior thermal/hydrothermal stability, and unique shape-selectivity. In this review, a comprehensive summary of the state-of-the-art achievements in catalytic applications of zeolite-supported metal catalysts are presented for important heterogeneous catalytic processes in the last five years, mainly including 1) the hydrogenation reactions (e.g., CO/CO2 hydrogenation, hydrogenation of unsaturated compounds, and hydrogenation of nitrogenous compounds); 2) dehydrogenation reactions (e.g., alkane dehydrogenation and dehydrogenation of chemical hydrogen storage materials); 3) oxidation reactions (e.g., CO oxidation, methane oxidation, and alkene epoxidation); and 4) other reactions (e.g., hydroisomerization reaction and selective catalytic reduction of NOx with ammonia reaction). Finally, some current limitations and future perspectives on the challenge and opportunity for this subject are pointed out. It is believed that this review will inspire more innovative research on the synthesis and catalysis of zeolite-supported metal catalysts and promote their future developments to meet the emerging demands for practical applications.
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Affiliation(s)
- Qiming Sun
- Innovation Center for Chemical Sciences|College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123, P. R. China
| | - Ning Wang
- College of Chemistry and Chemical Engineering, Qingdao University, Shandong, 266071, P. R. China
| | - Jihong Yu
- Innovation Center for Chemical Sciences|College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou, 215123, P. R. China
- State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry, Jilin University, Changchun, 130012, P. R. China
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96
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Xu J, Meng X, Yang Q, Zhang J, Hu W, Fu H, Chen JW, Ma W, Chisholm AD, Sun Q, Xu S. Redox-sensitive CDC-42 clustering promotes wound closure in C. elegans. Cell Rep 2021; 37:110040. [PMID: 34818546 DOI: 10.1016/j.celrep.2021.110040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 09/09/2021] [Accepted: 11/01/2021] [Indexed: 10/19/2022] Open
Abstract
Tissue damage induces immediate-early signals, activating Rho small GTPases to trigger actin polymerization essential for later wound repair. However, how tissue damage is sensed to activate Rho small GTPases locally remains elusive. Here, we found that wounding the C. elegans epidermis induces rapid relocalization of CDC-42 into plasma membrane-associated clusters, which subsequently recruits WASP/WSP-1 to trigger actin polymerization to close the wound. In addition, wounding induces a local transient increase and subsequent reduction of H2O2, which negatively regulates the clustering of CDC-42 and wound closure. CDC-42 CAAX motif-mediated prenylation and polybasic region-mediated cation-phospholipid interaction are both required for its clustering. Cysteine residues participate in intermolecular disulfide bonds to reduce membrane association and are required for negative regulation of CDC-42 clustering by H2O2. Collectively, our findings suggest that H2O2-regulated fine-tuning of CDC-42 localization can create a distinct biomolecular cluster that facilitates rapid epithelial wound repair after injury.
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Affiliation(s)
- Jingxiu Xu
- Center for Stem Cell and Regenerative Medicine and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xinan Meng
- Center for Stem Cell and Regenerative Medicine and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; Zhejiang University-University of Edinburgh Institute, Key Laboratory of Tissue Engineering and Regenerative Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Qingxian Yang
- Center for Stem Cell and Regenerative Medicine and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jianqin Zhang
- Department of Biochemistry and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Wei Hu
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Hongying Fu
- Center for Stem Cell and Regenerative Medicine and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jack Wei Chen
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Weirui Ma
- Life Sciences Institute, Zhejiang University, Hangzhou 310058, China
| | - Andrew D Chisholm
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Qiming Sun
- Department of Biochemistry and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Suhong Xu
- Center for Stem Cell and Regenerative Medicine and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; Zhejiang University-University of Edinburgh Institute, Key Laboratory of Tissue Engineering and Regenerative Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310058, China.
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97
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Ammerman SE, Jelic V, Wei Y, Breslin VN, Hassan M, Everett N, Lee S, Sun Q, Pignedoli CA, Ruffieux P, Fasel R, Cocker TL. Lightwave-driven scanning tunnelling spectroscopy of atomically precise graphene nanoribbons. Nat Commun 2021; 12:6794. [PMID: 34815398 PMCID: PMC8611099 DOI: 10.1038/s41467-021-26656-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/24/2021] [Indexed: 11/17/2022] Open
Abstract
Atomically precise electronics operating at optical frequencies require tools that can characterize them on their intrinsic length and time scales to guide device design. Lightwave-driven scanning tunnelling microscopy is a promising technique towards this purpose. It achieves simultaneous sub-ångström and sub-picosecond spatio-temporal resolution through ultrafast coherent control by single-cycle field transients that are coupled to the scanning probe tip from free space. Here, we utilize lightwave-driven terahertz scanning tunnelling microscopy and spectroscopy to investigate atomically precise seven-atom-wide armchair graphene nanoribbons on a gold surface at ultralow tip heights, unveiling highly localized wavefunctions that are inaccessible by conventional scanning tunnelling microscopy. Tomographic imaging of their electron densities reveals vertical decays that depend sensitively on wavefunction and lateral position. Lightwave-driven scanning tunnelling spectroscopy on the ångström scale paves the way for ultrafast measurements of wavefunction dynamics in atomically precise nanostructures and future optoelectronic devices based on locally tailored electronic properties.
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Affiliation(s)
- S. E. Ammerman
- grid.17088.360000 0001 2150 1785Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 USA
| | - V. Jelic
- grid.17088.360000 0001 2150 1785Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 USA
| | - Y. Wei
- grid.17088.360000 0001 2150 1785Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 USA
| | - V. N. Breslin
- grid.17088.360000 0001 2150 1785Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 USA
| | - M. Hassan
- grid.17088.360000 0001 2150 1785Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 USA
| | - N. Everett
- grid.17088.360000 0001 2150 1785Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 USA
| | - S. Lee
- grid.17088.360000 0001 2150 1785Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 USA
| | - Q. Sun
- grid.7354.50000 0001 2331 3059Empa, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland ,grid.39436.3b0000 0001 2323 5732Present Address: Materials Genome Institute, Shanghai University, 200444 Shanghai, China
| | - C. A. Pignedoli
- grid.7354.50000 0001 2331 3059Empa, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland
| | - P. Ruffieux
- grid.7354.50000 0001 2331 3059Empa, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland
| | - R. Fasel
- grid.7354.50000 0001 2331 3059Empa, Swiss Federal Laboratories for Materials Science and Technology, 8600 Dübendorf, Switzerland ,grid.5734.50000 0001 0726 5157Department of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, 3012 Bern, Switzerland
| | - T. L. Cocker
- grid.17088.360000 0001 2150 1785Department of Physics and Astronomy, Michigan State University, East Lansing, MI 48824 USA
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98
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Xu X, Sun Y, Cen X, Shan B, Zhao Q, Xie T, Wang Z, Hou T, Xue Y, Zhang M, Peng D, Sun Q, Yi C, Najafov A, Xia H. Correction to: Metformin activates chaperone-mediated autophagy and improves disease pathologies in an Alzheimer disease mouse model. Protein Cell 2021; 13:227-229. [PMID: 34725788 PMCID: PMC8901850 DOI: 10.1007/s13238-021-00873-4] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Xiaoyan Xu
- Department of Biochemistry & Research Center of Clinical Pharmacy of The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, China
| | - Yaqin Sun
- Department of Biochemistry & Research Center of Clinical Pharmacy of The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Xufeng Cen
- Department of Biochemistry & Research Center of Clinical Pharmacy of The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Bing Shan
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Qingwei Zhao
- Department of Biochemistry & Research Center of Clinical Pharmacy of The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Tingxue Xie
- Department of Biochemistry & Research Center of Clinical Pharmacy of The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Zhe Wang
- College of Pharmaceutical Sciences, Hangzhou Institute of innovative Medicine, Zhejiang University, Hangzhou, 310058, China
| | - Tingjun Hou
- College of Pharmaceutical Sciences, Hangzhou Institute of innovative Medicine, Zhejiang University, Hangzhou, 310058, China
| | - Yu Xue
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Mengmeng Zhang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Di Peng
- Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Qiming Sun
- Department of Biochemistry & Research Center of Clinical Pharmacy of The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Cong Yi
- Department of Biochemistry & Research Center of Clinical Pharmacy of The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Ayaz Najafov
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA.
| | - Hongguang Xia
- Department of Biochemistry & Research Center of Clinical Pharmacy of The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, China.
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99
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Sun Q, Chang W, Pan C, Xie JF, Peng F, Qiu HB, Yang Y. [The effects of positive end-expiratory pressure on central venous pressure in patients with different chest wall elastic resistance]. Zhonghua Nei Ke Za Zhi 2021; 60:960-964. [PMID: 34689516 DOI: 10.3760/cma.j.cn112138-20210326-00242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the role of chest wall elastic resistance in determining the effects of positive end-expiratory pressure (PEEP) on central venous pressure (CVP) in patients with mechanical ventilation (MV). Methods: In this prospective study, according to the median of ratio of chest wall elastic resistance to respiratory system elastic resistance (Ers), patients were divided into high chest wall elastic resistance group (Ecw/Ers≥0.24) and low chest wall elastic resistance group [elastance of chest wall (Ecw)/Ers<0.24]. PEEP was set at 5, 10, 15 cmH2O (1 cmH2O=0.098 kPa) respectively. Clinical data including CVP, heart rate (HR), blood pressure (BP) and respiratory mechanics were recorded. Results: Seventy patients receiving MV were included from November 2017 to December 2018. Clinical characteristics including age, BP, HR, baseline PEEP, the ratio of arterial oxygen partial pressure to fractional inspired oxygen (P/F) and comorbidities were comparable in two groups. However, patients with high Ecw/Ers ratio presented higher body mass index (BMI) than those with low Ecw/Ers ratio[ (25.4±3.2) kg/m2 vs. (23.4±3.2) kg/m2, P=0.011]. As PEEP increased from 5 cmH2O to 10 cmH2O, CVP in high Ecw/Ers group increased significantly compared with that in low Ecw/Ers group [1.75(1.00, 2.13) mmHg (1 mmHg=0.133kPa) vs. 1.50(0.50, 2.00)mmHg,P=0.038], which was the same as PEEP increased from 10 cmH2O to 15 cmH2O [2.00(1.50, 3.00)mmHg vs. 1.50(1.00, 2.00)mmHg,P=0.041] or PEEP increased from 5 cmH2O to 15 cmH2O [ 3.75(3.00,4.63)mmHg vs. 3.00(1.63, 4.00)mmHg, P=0.012]. When PEEP increased from 5 cmH2O to 10 cmH2O, 10 cmH2O to 15 cmH2O and 10 cmH2O to 15 cmH2O, there were significant correlations between Ecw/Ers and CVP elevation (r=0.29, P=0.016; r=0.31, P=0.011; r=0.31, P=0.01 respectively). Conclusions: In patients receiving mechanical ventilation, elevation of PEEP leads to a synchronous change of CVP, which is corelated with patients' chest wall elastic resistances.
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Affiliation(s)
- Q Sun
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - W Chang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - C Pan
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - J F Xie
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - F Peng
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - H B Qiu
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
| | - Y Yang
- Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Nanjing 210009, China
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100
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Li F, Xue XY, Boned Fustel P, Rong SS, Sun Q, Tang HC, Wang WX, Fu Y, Boned-Ombuena A, Gu MW. A COVID-19 screening method based on eyes photographs and artificial intelligence. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab164.503] [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: 11/13/2022] Open
Abstract
Abstract
Background
SARS-CoV-2 can spread both from symptomatic and asymptomatic individuals. Ocular manifestations due to SARS-CoV-2 have been described, being conjunctival inflammation the most common affectation. Evidence shows that conjunctivitis could be the first and/or only manifestation of COVID-19. This study aimed to develop and validate a COVID-19 screening method based on eyes photographs and artificial intelligence.
Methods
In this multicentre study, 1,200 participants were enrolled from Shanghai Public Health Clinical Center (SPHCC) Fudan University, AIMOMICS LAB and La Fe University and Polytechnic Hospital (LFUPH) of Valencia (Spain). Pictures of participants' ocular surface were taken in four different positions with mobile phone cameras, and a Deep Learning System (DLS) was developed through machine learning to identify characteristic conjunctival inflammation patterns. The study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committees of SPHCC and LFUPH.
Results
The area under the receiver-operating-characteristic curve (AUC), sensitivity, specificity, and accuracy were calculated according to the results of our binary classification network. Bootstrapping with 1,000 replicates was used to estimate 95% confidence intervals of the performance metrics, with photography as the resampling unit. On the subject-level classification, the network achieved the AUC of 0.976 (95% CI 0.965-0.988) among Asian population and 0.892 (95% CI 0-763-1.000) among Caucasian population.
Conclusions
Preliminary results show that this DLS performed well in identifying probable asymptomatic COVID-19 cases through the analysis of participants' eyes pictures. This method could be an innocuous, accessible, low cost and quick COVID-19 screening method. Eventually, it could potentially contribute to pandemic control.
Key messages
In the context of the COVID-19 pandemic it would be useful to have a screening method to easily and quickly detect asymptomatic individuals, in addition to using temperature control. Preliminary results show that this Deep Learning System (DLS) based on eyes pictures taken with mobile phone cameras could be an innocuous, accessible, low cost and quick COVID-19 screening method.
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Affiliation(s)
- F Li
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - XY Xue
- School of Data Science, Fudan University, Shanghai, China
- School of Computer Science, Fudan University, Shanghai, China
| | - P Boned Fustel
- La Fe University and Polytechnic Hospital, Valencia, Spain
| | - SS Rong
- Department of Ophthalmology, Harvard Medical School, Mass Eye and Ear, Mass General Brigham, Boston, MA, USA
| | - Q Sun
- Academy for Engineering & Technology, Fudan University, Shanghai, China
| | - HC Tang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - WX Wang
- School of Computer Science, Fudan University, Shanghai, China
| | - Y Fu
- School of Data Science, Fudan University, Shanghai, China
| | - A Boned-Ombuena
- Valencia University General Hospital Health Department, Valencia, Spain
| | - MW Gu
- School of Data Science, Fudan University, Shanghai, China
- AIMOMICS INC., Shanghai, China
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