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Liu FQ, Yang ZR, Wu SS, Zhao HY, Zhan SY, Sun F. [Analysis methods and case analysis of effect modification (3): effect modification in individual patient data Meta-analysis]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:447-454. [PMID: 38514323 DOI: 10.3760/cma.j.cn112338-20230824-00095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
This paper briefly introduces the unique advantages, overall analysis ideas and existing analysis methods of individual patient data Meta-analysis in terms of effect modification. In addition to Meta-regression and subgroup analysis, this paper also introduces the analysis methods based on part of individual patient data integrated with aggregated data and summarizes the current reporting of the above mentioned methods. In addition, the application and results interpretation of the above mentioned methods in individual patient data Meta-analysis are presented in this paper by taking "Effects of sodium-glucose cotransporter 2 inhibitors on SBP in patients with type 2 diabetes" as an example and by introducing their advantages and limitations.
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Affiliation(s)
- F Q Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Z R Yang
- School of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - S S Wu
- National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - H Y Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - S Y Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - F Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Liu FQ, Yang ZR, Wu SS, Zhao HY, Zhan SY, Sun F. [Analysis methods and case analysis of effect modification (2): effect modification in network Meta-analysis]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:273-278. [PMID: 38413068 DOI: 10.3760/cma.j.cn112338-20230824-00094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
This paper briefly introduces the characteristics, research significance, and global reporting status of effect modification in network Meta-analysis, demonstrates the heterogeneity caused by effect modification in network Meta-analysis, and emphasizes the importance of exploring effect modification in network Meta-analysis. This paper also summarizes the normalized description and analysis strategies of effect modification in network Meta-analysis. Finally, by the case of "comparison of efficacy of three new hypoglycemic drugs in reducing body weight in type 2 diabetes patients", this paper demonstrates the realization of subgroup analysis and network Meta-regression in exploring effect modification, summarizes the advantages and disadvantages of the two methods, to provide references for future researchers.
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Affiliation(s)
- F Q Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Z R Yang
- School of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - S S Wu
- National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - H Y Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - S Y Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - F Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Liu FQ, Yang ZR, Wu SS, Zhao HY, Zhan SY, Sun F. [Analysis methods and case analysis of effect modification (1): effect modification in epidemiology and traditional Meta-analysis]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:148-154. [PMID: 38228538 DOI: 10.3760/cma.j.cn112338-20230824-00093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
This paper briefly introduces the definition, classification and significance of effect modification in epidemiological studies, summarizes the difference between effect modifier and confounders, and analyze the influence as well as the role of effect modification in epidemiological studies and Meta-analysis. In this paper, the possible scenarios of effect modification and related analysis strategy in Meta-analysis are indicated by graphics, aiming to arouse researchers' attention to effect modification. This paper also demonstrates how to identify and deal with effect modification in Meta-analysis through a study case of "Efficacy of sodium-glucose cotransporter 2 inhibitors in patients with type 2 diabetes", and shows the analysis process and interpretation of results of subgroup analysis and Meta-regression methods respectively. The advantages and disadvantages of these two methods are summarized to provide reference for the method selection of future research.
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Affiliation(s)
- F Q Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Z R Yang
- Faculty of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - S S Wu
- National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - H Y Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - S Y Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - F Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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Yin Y, Wu SS, Yang P, Liu XQ, Gao Y, Song LL, Sui XL, Yu GH. [Clinicopathological analysis of three cases EB virus-positive mucocutaneous ulcer]. Zhonghua Bing Li Xue Za Zhi 2023; 52:501-503. [PMID: 37106295 DOI: 10.3760/cma.j.cn112151-20221209-01036] [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: 04/29/2023]
Affiliation(s)
- Y Yin
- Department of Pathology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai 264000, China
| | - S S Wu
- Department of Pathology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai 264000, China
| | - P Yang
- Department of Pathology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai 264000, China
| | - X Q Liu
- Department of Hematology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai 264000, China
| | - Y Gao
- Department of Pathology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai 264000, China
| | - L L Song
- The Second Medical College of Binzhou Medical University, Yantai 264003, China
| | - X L Sui
- Department of Pathology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai 264000, China
| | - G H Yu
- Department of Pathology, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai 264000, China
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Zhao R, Liu YY, Wu SS, Liu XC, Tian XX, Zhou KS. [Long-term results of modified POG 9404 protocol for 4 adolescents with T-cell lymphoblastic leukemia/lymphoma]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:255-257. [PMID: 37356990 PMCID: PMC10119719 DOI: 10.3760/cma.j.issn.0253-2727.2023.03.014] [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] [Received: 04/12/2022] [Indexed: 06/27/2023]
Affiliation(s)
- R Zhao
- Department of Hematology, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou 450003, China
| | - Y Y Liu
- Department of Hematology, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou 450003, China
| | - S S Wu
- Department of Hematology, Zhumadian Central Hospital, Zhumadian 463000, China
| | - X C Liu
- Department of Hematology, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou 450003, China
| | - X X Tian
- Department of Hematology, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou 450003, China
| | - K S Zhou
- Department of Hematology, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou 450003, China
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Wu SS, Sun Y, Dou XF, Ren ZY, Zhang JJ, Jia L, Yang P, Pang XH. [Analysis on infection sources and transmission chains of three outbreaks caused by 2019-nCoV Omicron variant in Beijing, China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:373-378. [PMID: 36942330 DOI: 10.3760/cma.j.cn112338-20221112-00966] [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: 03/23/2023]
Abstract
Objective: To investigate the infection sources and the transmission chains of three outbreaks caused by 2019-nCoV Omicron variant possibly spread through cross-border logistics in Beijing. Methods: Epidemiological investigation and big data were used to identify the exposure points of the cases. Close contacts were traced from the exposure points, and the cases' and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: The Omicron variant causing 3 outbreaks in Beijing from January to April, 2022 belonged to BA.1, BA.1.1 and BA.2. The outbreaks lasted for 8, 12 and 8 days respectively, and 6, 42 and 32 cases infected with 2019-nCoV were reported respectively. International mail might be the infection source for 1 outbreak, and imported clothes might be the infection sources for another 2 outbreaks. The interval between the shipment start time of the imported goods and the infection time of the index case was 3-4 days. The mean incubation period (Q1, Q3) was 3 (2,4) days and the mean serial interval (Q1, Q3) was 3 (2,4)days. Conclusions: The 3 outbreaks highlighted the risk of infection by Omicron variant from international logistics-related imported goods at normal temperature. Omicron variant has stronger transmissibility, indicating that rapid epidemiological investigation and strict management are needed.
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Affiliation(s)
- S S Wu
- Institute for Infectious Disease and Endemic Disease Control, Beijing Municipal Center for Disease Prevention and Control, Beijing 100013, China
| | - Y Sun
- Institute for Infectious Disease and Endemic Disease Control, Beijing Municipal Center for Disease Prevention and Control, Beijing 100013, China
| | - X F Dou
- Institute for Infectious Disease and Endemic Disease Control, Beijing Municipal Center for Disease Prevention and Control, Beijing 100013, China
| | - Z Y Ren
- Institute for Infectious Disease and Endemic Disease Control, Beijing Municipal Center for Disease Prevention and Control, Beijing 100013, China
| | - J J Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Municipal Center for Disease Prevention and Control, Beijing 100013, China
| | - L Jia
- Institute for Infectious Disease and Endemic Disease Control, Beijing Municipal Center for Disease Prevention and Control, Beijing 100013, China
| | - P Yang
- Central Office, Beijing Municipal Center for Disease Prevention and Control, Beijing 100013, China
| | - X H Pang
- Central Office, Beijing Municipal Center for Disease Prevention and Control, Beijing 100013, China
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Wu SS, Ren ZY, Sun Y, Zhang JJ, Zhao H, Dou XF, Ma CN, Jia L, Yang P, Pang X. [Survey on infection source of a cold-chain product associated COVID-19 epidemic caused by 2019-nCoV Delta variant in Beijing]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1230-1236. [PMID: 35981984 DOI: 10.3760/cma.j.cn112338-20220228-00157] [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 source and the transmission chain of a cold-chain product associated COVID-19 epidemic caused by 2019-nCoV Delta variant in Beijing. Methods: Epidemiological investigation were used to verify the exposure points of the cases. Close contacts were traced from the exposure points, and human and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: A total of 112 cases of COVID-19 were reported in the epidemic from January 18 to February 6, 2022 in Beijing. Except for 1 case was uncertain, there were epidemiological links among 111 cases. The source of infection was the packages of imported cold-chain products from Southeast Asia, which were harvested and stored in a local cold-storage in January 2021, and packaged and sent to the cold-storage A in A district in June 2021, and then sold in batches in cold-storage B in B district from January 2022. The first case was infected in the handling of positive frozen products, and then 77 cases occurred due to working, eating and living together with the index case in the cold-storage B, cold-storage C and restaurant D. Besides the cold-storage B, C and the restaurant D, there were 16 sub-transmission chains, resulting in additional 35 cases. Conclusion: The epidemic indicated that the risk of 2019-nCoV infection from imported cold-chain products contaminated by package and highlighted the importance to strengthen the management of cold-chain industry in future.
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Affiliation(s)
- S S Wu
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Z Y Ren
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Y Sun
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - J J Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - H Zhao
- Institute for School Health, Beijing Center for Disease Prevention and Control,Beijing 100013, China
| | - X F Dou
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - C N Ma
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - L Jia
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - P Yang
- Central Office, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Xinghuo Pang
- Central Office, Beijing Center for Disease Prevention and Control, Beijing 100013, China
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Wang BQ, Wu XN, Zhou JL, Sun YM, Meng TT, Chen SY, Guan QS, He ZY, Wu SS, Kong YY, Ou XJ, Jia JD, You H. [Analysis of change in esophageal varices and clinical characteristics in hepatitis B virus-related cirrhosis after antiviral therapy]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:591-597. [PMID: 36038319 DOI: 10.3760/cma.j.cn501113-20220501-00232] [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 clarify the effect and related factors of antiviral therapy on the change of esophageal varices in patients with hepatitis B virus-related cirrhosis. Methods: Fifty-two cases with hepatitis B virus-related cirrhosis who underwent endoscopy before and after antiviral therapy were selected from prospective cohorts. Patients were divided into three groups: no, mild, and moderate-severe based on the degree of esophageal varices. The changes in the severity of esophageal varices in each group were compared after antiviral therapy. Clinical characteristics (platelet, liver and kidney function, liver stiffness, and virological response) of patients with different regressions were analyzed. Measurement data were analyzed by independent sample t-test, one-way ANOVA, Mann-Whitney U test and Kruskal-Wallis H test, and Chi-Square test was used for count data. Results: All patients received entecavir-based antiviral therapy. The median treatment time was 3.1 (2.5-4.4) years. The proportion of patients without esophageal varices increased from 30.8% to 51.9%, the proportion of mild esophageal varices decreased from 40.4% to 30.8%, and the proportion of patients with moderate-to-severe esophageal varices decreased from 28.8% to 17.3% (χ2=14.067, P=0.001). A total of 40.4% of patients had esophageal varices regression, and 13.5% had esophageal varices progression. The progression rate was significantly higher in patients with moderate-severe esophageal varices than patients with mild and no esophageal varices (χ2=28.126, P<0.001), and 60.0% of patients with moderate-severe esophageal varices still remained in moderate-severe state after antiviral treatment. Baseline platelet count and 5-year mean change rates were significantly lower in patients with progressive moderate-to-severe esophageal varices than in those without progression (+3.3% vs. +34.1%, Z=7.00, P=0.027). Conclusion: After effective antiviral treatment, 40.4% of patients with hepatitis B virus-related cirrhosis combined with esophageal varices has obtained esophageal varices regression, but those with moderate to severe esophageal varices still have a considerable risk of progression while receiving mono antiviral treatment only. Thrombocytopenia and without significant improving are the clinical signs of progression risk after receiving antiviral treatment.
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Affiliation(s)
- B Q Wang
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - X N Wu
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - J L Zhou
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - Y M Sun
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - T T Meng
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - S Y Chen
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - Q S Guan
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - Z Y He
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - S S Wu
- Clinical Epidemiology and EBM Unit, Beijing Friendship Hospital, Capital Medical University, Beijing Clinical Research Institute, Beijing 100050, China
| | - Y Y Kong
- Clinical Epidemiology and EBM Unit, Beijing Friendship Hospital, Capital Medical University, Beijing Clinical Research Institute, Beijing 100050, China
| | - X J Ou
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - J D Jia
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
| | - H You
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing 100050, China
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Wu SS, Zhang JJ, Sun Y, Ren ZY, Dou XF, Zhang L, Duan W, Ma CN, Yang P, Pang X. [Survey of possible aerosol transmission of a COVID-19 epidemic caused by 2019-nCoV Delta variant]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:305-309. [PMID: 35345282 DOI: 10.3760/cma.j.cn112338-20211208-00961] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the epidemiological characteristics and the transmission chain of a family clustering of COVID-19 cases caused by severe acute respiratory 2019-nCoV Delta variant in Changping district of Beijing. Methods: Epidemiological investigation was conducted and big data were used to reveal the exposure history of the cases. Close contacts were screened according to the investigation results, and human and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: On November 1, 2021, a total of 5 COVID-19 cases caused by 2019-nCoV Delta variant were reported in a family detected through active screening. The infection source was a person in the same designated isolation hotel where the first case of the family cluster was isolated from 22 to 27, October. The first case was possibly infected through aerosol particles in the ventilation duct system of the isolation hotel. After the isolation discharge on October 27, and the first case caused secondary infections of four family members while living together from October 27 to November 1, 2021. Conclusion: 2019-nCoV Delta variant is prone to cause family cluster, and close attention needs to be paid to virus transmission through ventilation duct system in isolation hotels.
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Affiliation(s)
- S S Wu
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - J J Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y Sun
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Z Y Ren
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - X F Dou
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - L Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - W Duan
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - C N Ma
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - P Yang
- Office of Global Health Center, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Xinghuo Pang
- Central Office, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China
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Wu SS, Yu JN, Li JY, He CH, Zhang CY. [Study on flow field characteristics of dust airflow in vibrating screen and optimization of dust removal system]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:696-699. [PMID: 34624956 DOI: 10.3760/cma.j.cn121094-20201019-00588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
In order to solve the problem of dust hazard of vibrating screen machine and difficult treatment in catalyst production process, computational fluid dynamics software Fluent was used to carry out numerical simulation calculation of the local exhaust dust removal system for the main dust dispersing points of the vibrating screen machine, including fine/coarse particles outlet and product outlet blowing and cleaning the dust points. The optimal design scheme and key technical parameters of local ventilation and dust removal system of vibrating screen machine were proposed. The results showed that the dust diffusion could be prevented by setting up an upper suction hood without air blowing, but the exhaust air volume needed to be calculated accurately. On the premise of purge, it is necessary to control the air volume to form a wind speed band of 8 m/s with a height of 15 cm at the feed port, so as to effectively remove the dust on the surface of solid particles of catalyst products and ensure that the catalyst products will not be blown away when falling into the feed barrel. The simulated design was applied to the vibrating sieve powder machine of a catalyst company, and the maximum dust concentration in the workplace was reduced from 45.80 mg/m(3) to 5.46mg/m(3), which effectively improved the working environment in the workplace.
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Affiliation(s)
- S S Wu
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
| | - J N Yu
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
| | - J Y Li
- National Center for Occupational Safety and Health, Beijing 102308, China
| | - C H He
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
| | - C Y Zhang
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
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Li M, Su JT, Wu SS, Wei ZH, Kong YY, Jia JD. [Correlation among age, sex, and liver diseases-related mortality risk in patients with hepatitis B virus-related liver cirrhosis]. Zhonghua Gan Zang Bing Za Zhi 2021; 29:403-408. [PMID: 34107575 DOI: 10.3760/cma.j.cn501113-20201224-00676] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand and compare the differences between age, sex and liver diseases-related mortality risk in patients with hepatitis B virus-related liver cirrhosis. Methods: Based on the front-page inpatient medical record database and the death registration system of Beijing patients with hepatitis B-related liver cirrhosis from 2008 to 2015 were included. The survival information of all patients were traced up to the occurrence of liver disease-related mortality event or until December 31, 2019. Kaplan-Meier method was used to calculate the cumulative incidence of liver disease-related mortality in patients with liver cirrhosis. Cox regression model was used to analyze the effect of age-gender interaction on liver disease-related mortality risk. Results: A total of 16 738 patients with hepatitis B-related liver cirrhosis were included, of which 13 969 cases (83.46%) were in compensated stage and 2 769 cases (16.54%) were in decompensated stage. Liver cirrhosis complications mortality risk in patients with compensated stage cirrhosis at 3, 5, and 8 years were 10.84%, 12.70%, and 14.37%, respectively; while in decompensated stage patients, the mortality risk was 16.70%, 19.02%, and 20.73%, respectively. The 3, 5, and 8-year liver cancer mortality rates of patients with compensated stage liver cirrhosis were 5.24%, 7.49%, and 10.25%, respectively; while those with decompensated stage liver cancer mortality rates were 9.01%, 11.16%, and 13.50%, respectively. Liver disease-related mortality risk was increased with age in patients with liver cirrhosis. Liver cirrhosis complications mortality risk in female patients with liver cirrhosis at age < 60 years was lower than that of male patients. Liver cirrhosis complications mortality risk in male and female patients aged 60-69 years were similar. Liver cirrhosis complications mortality risk in female patients aged ≥70 years was higher than that of male patients. However, female patients had a lower risk of liver cancer mortality than male patients in utmost age groups. Conclusion: Age is positively correlated with liver diseases-related mortality risk in patients with hepatitis B-related liver cirrhosis. Female sex is a protective factor for liver cancer mortality in patients with liver cirrhosis, and the protective effect on liver cirrhosis complications mortality risk gradually disappears with age.
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Affiliation(s)
- M Li
- Clinical Epidemiology and EBM Unit, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - J T Su
- Statistics Center, Beijing Center for Diseases Prevention and Control, Beijing 100050, China
| | - S S Wu
- Clinical Epidemiology and EBM Unit, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Z H Wei
- Statistics Center, Beijing Center for Diseases Prevention and Control, Beijing 100050, China
| | - Y Y Kong
- Clinical Epidemiology and EBM Unit, National Clinical Research Center for Digestive Disease, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - J D Jia
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
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Wu SS, Pan Y, Sun Y, Ma CN, Duan W, Zhang L, Wang QY, Pang XH. [Relationship between respiratory viral load of cases of COVID-19 and secondary attack risk in close contacts]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1008-1011. [PMID: 34814498 DOI: 10.3760/cma.j.cn112338-20210224-00141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To analyze the relationship between the cycle threshold (Ct) values of N gene of COVID-19 cases and the secondary attack risk in close contacts, and identify the relationship between respiratory viral load and infectivity in COVID-19 cases. Methods: The COVID-19 cases with records of Ct values of N gene within 0-7 days of onset were selected, and their close contacts were recruited as the subjects of study. We collected the information of close contacts, including name, gender, age, isolation mode, exposure mode and outcome (whether they were infected with SARS-CoV-2 or not) and other variables. Multivariate logistic regression models were used to identify the relationship between Ct values of N gene of COVID-19 cases and secondary attack risk in close contacts. Results: A total of 1 618 close contacts were recruited, in whom 77 were confirmed as symptomatic or asymptomatic COVID-19 patients with overall secondary attack rate of 4.8%. The multivariate logistic regression analysis indicated that eating together (OR=2.741, P=0.054), living together (OR=9.721, P<0.001), non-centralized isolation (OR=18.437, P<0.001) and COVID-19 case's values of N gene within 0-7 days of onset being <20 (OR=8.998, P=0.004) or 20-25 (OR=3.547, P=0.032) were significantly associated with higher likelihood of being infected with SARS-CoV-2 in close contacts. Conclusion: The results indicated that positive relationship exists between respiratory viral load and infectivity in COVID-19 cases, suggesting that Ct values of N gene can be used as an early warning indicator for the management of close contacts of COVID-19 cases.
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Affiliation(s)
- S S Wu
- Beijing Municipal Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y Pan
- Beijing Municipal Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y Sun
- Beijing Municipal Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - C N Ma
- Beijing Municipal Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - W Duan
- Beijing Municipal Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - L Zhang
- Beijing Municipal Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Q Y Wang
- Beijing Municipal Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - X H Pang
- Beijing Municipal Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
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13
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Alemanno F, An Q, Azzarello P, Barbato FCT, Bernardini P, Bi XJ, Cai MS, Catanzani E, Chang J, Chen DY, Chen JL, Chen ZF, Cui MY, Cui TS, Cui YX, Dai HT, D'Amone A, De Benedittis A, De Mitri I, de Palma F, Deliyergiyev M, Di Santo M, Dong TK, Dong ZX, Donvito G, Droz D, Duan JL, Duan KK, D'Urso D, Fan RR, Fan YZ, Fang K, Fang F, Feng CQ, Feng L, Fusco P, Gao M, Gargano F, Gong K, Gong YZ, Guo DY, Guo JH, Guo XL, Han SX, Hu YM, Huang GS, Huang XY, Huang YY, Ionica M, Jiang W, Kong J, Kotenko A, Kyratzis D, Lei SJ, Li S, Li WL, Li X, Li XQ, Liang YM, Liu CM, Liu H, Liu J, Liu SB, Liu WQ, Liu Y, Loparco F, Luo CN, Ma M, Ma PX, Ma T, Ma XY, Marsella G, Mazziotta MN, Mo D, Niu XY, Pan X, Parenti A, Peng WX, Peng XY, Perrina C, Qiao R, Rao JN, Ruina A, Salinas MM, Shang GZ, Shen WH, Shen ZQ, Shen ZT, Silveri L, Song JX, Stolpovskiy M, Su H, Su M, Sun ZY, Surdo A, Teng XJ, Tykhonov A, Wang H, Wang JZ, Wang LG, Wang S, Wang XL, Wang Y, Wang YF, Wang YZ, Wang ZM, Wei DM, Wei JJ, Wei YF, Wen SC, Wu D, Wu J, Wu LB, Wu SS, Wu X, Xia ZQ, Xu HT, Xu ZH, Xu ZL, Xu ZZ, Xue GF, Yang HB, Yang P, Yang YQ, Yao HJ, Yu YH, Yuan GW, Yuan Q, Yue C, Zang JJ, Zhang F, Zhang SX, Zhang WZ, Zhang Y, Zhang YJ, Zhang YL, Zhang YP, Zhang YQ, Zhang Z, Zhang ZY, Zhao C, Zhao HY, Zhao XF, Zhou CY, Zhu Y. Measurement of the Cosmic Ray Helium Energy Spectrum from 70 GeV to 80 TeV with the DAMPE Space Mission. Phys Rev Lett 2021; 126:201102. [PMID: 34110215 DOI: 10.1103/physrevlett.126.201102] [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: 01/05/2021] [Revised: 03/25/2021] [Accepted: 04/06/2021] [Indexed: 06/12/2023]
Abstract
The measurement of the energy spectrum of cosmic ray helium nuclei from 70 GeV to 80 TeV using 4.5 years of data recorded by the Dark Matter Particle Explorer (DAMPE) is reported in this work. A hardening of the spectrum is observed at an energy of about 1.3 TeV, similar to previous observations. In addition, a spectral softening at about 34 TeV is revealed for the first time with large statistics and well controlled systematic uncertainties, with an overall significance of 4.3σ. The DAMPE spectral measurements of both cosmic protons and helium nuclei suggest a particle charge dependent softening energy, although with current uncertainties a dependence on the number of nucleons cannot be ruled out.
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Affiliation(s)
- F Alemanno
- Gran Sasso Science Institute (GSSI), Via Iacobucci 2, I-67100 L'Aquila, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Laboratori Nazionali del Gran Sasso, I-67100 Assergi, L'Aquila, Italy
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - P Azzarello
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - F C T Barbato
- Gran Sasso Science Institute (GSSI), Via Iacobucci 2, I-67100 L'Aquila, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Laboratori Nazionali del Gran Sasso, I-67100 Assergi, L'Aquila, Italy
| | - P Bernardini
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Lecce, I-73100 Lecce, Italy
| | - X J Bi
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
| | - M S Cai
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - E Catanzani
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Perugia, I-06123 Perugia, Italy
| | - J Chang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - D Y Chen
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - J L Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Z F Chen
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - M Y Cui
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - T S Cui
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - Y X Cui
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - H T Dai
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - A D'Amone
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Lecce, I-73100 Lecce, Italy
| | - A De Benedittis
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Lecce, I-73100 Lecce, Italy
| | - I De Mitri
- Gran Sasso Science Institute (GSSI), Via Iacobucci 2, I-67100 L'Aquila, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Laboratori Nazionali del Gran Sasso, I-67100 Assergi, L'Aquila, Italy
| | - F de Palma
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Lecce, I-73100 Lecce, Italy
| | - M Deliyergiyev
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - M Di Santo
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Lecce, I-73100 Lecce, Italy
| | - T K Dong
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - Z X Dong
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - G Donvito
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Bari, I-70125 Bari, Italy
| | - D Droz
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - J L Duan
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - K K Duan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - D D'Urso
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Perugia, I-06123 Perugia, Italy
| | - R R Fan
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - Y Z Fan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - K Fang
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - F Fang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - C Q Feng
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - L Feng
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - P Fusco
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Bari, I-70125 Bari, Italy
- Dipartimento di Fisica "M. Merlin" dell'Università e del Politecnico di Bari, I-70126 Bari, Italy
| | - M Gao
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - F Gargano
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Bari, I-70125 Bari, Italy
| | - K Gong
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - Y Z Gong
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - D Y Guo
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - J H Guo
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - X L Guo
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - S X Han
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - Y M Hu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - G S Huang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - X Y Huang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - Y Y Huang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - M Ionica
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Perugia, I-06123 Perugia, Italy
| | - W Jiang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - J Kong
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - A Kotenko
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - D Kyratzis
- Gran Sasso Science Institute (GSSI), Via Iacobucci 2, I-67100 L'Aquila, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Laboratori Nazionali del Gran Sasso, I-67100 Assergi, L'Aquila, Italy
| | - S J Lei
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - S Li
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - W L Li
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - X Li
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - X Q Li
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - Y M Liang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - C M Liu
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - H Liu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - J Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - S B Liu
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - W Q Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y Liu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - F Loparco
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Bari, I-70125 Bari, Italy
- Dipartimento di Fisica "M. Merlin" dell'Università e del Politecnico di Bari, I-70126 Bari, Italy
| | - C N Luo
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - M Ma
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - P X Ma
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - T Ma
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - X Y Ma
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - G Marsella
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Lecce, I-73100 Lecce, Italy
| | - M N Mazziotta
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Bari, I-70125 Bari, Italy
| | - D Mo
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - X Y Niu
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - X Pan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - A Parenti
- Gran Sasso Science Institute (GSSI), Via Iacobucci 2, I-67100 L'Aquila, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Laboratori Nazionali del Gran Sasso, I-67100 Assergi, L'Aquila, Italy
| | - W X Peng
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - X Y Peng
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - C Perrina
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - R Qiao
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - J N Rao
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - A Ruina
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - M M Salinas
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - G Z Shang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - W H Shen
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - Z Q Shen
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - Z T Shen
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - L Silveri
- Gran Sasso Science Institute (GSSI), Via Iacobucci 2, I-67100 L'Aquila, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Laboratori Nazionali del Gran Sasso, I-67100 Assergi, L'Aquila, Italy
| | - J X Song
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - M Stolpovskiy
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - H Su
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - M Su
- Department of Physics and Laboratory for Space Research, the University of Hong Kong, Pok Fu Lam, Hong Kong SAR 999077, China
| | - Z Y Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - A Surdo
- Istituto Nazionale di Fisica Nucleare (INFN)-Sezione di Lecce, I-73100 Lecce, Italy
| | - X J Teng
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - A Tykhonov
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - H Wang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - J Z Wang
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - L G Wang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - S Wang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - X L Wang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y Wang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y F Wang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y Z Wang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - Z M Wang
- Gran Sasso Science Institute (GSSI), Via Iacobucci 2, I-67100 L'Aquila, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)-Laboratori Nazionali del Gran Sasso, I-67100 Assergi, L'Aquila, Italy
| | - D M Wei
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - J J Wei
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - Y F Wei
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - S C Wen
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - D Wu
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - J Wu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - L B Wu
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - S S Wu
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - X Wu
- Department of Nuclear and Particle Physics, University of Geneva, CH-1211 Geneva, Switzerland
| | - Z Q Xia
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - H T Xu
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - Z H Xu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - Z L Xu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - Z Z Xu
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - G F Xue
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - H B Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - P Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y Q Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - H J Yao
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y H Yu
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - G W Yuan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - Q Yuan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - C Yue
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - J J Zang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - F Zhang
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - S X Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - W Z Zhang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - Y Zhang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - Y J Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y L Zhang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y P Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y Q Zhang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - Z Zhang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
| | - Z Y Zhang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - C Zhao
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - H Y Zhao
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - X F Zhao
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - C Y Zhou
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
| | - Y Zhu
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian district, Beijing 100190, China
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14
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Sun YJ, Liu XC, Han L, Wu SS, Liu YY, Gao QL, Song YP, Zhou KS. [Treatment of two cases of extramedullary infiltration multiple myeloma with BCMA CAR-T cells]. Zhonghua Xue Ye Xue Za Zhi 2021; 42:253-255. [PMID: 33910313 PMCID: PMC8081939 DOI: 10.3760/cma.j.issn.0253-2727.2021.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Y J Sun
- Department of Hematopathy, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - X C Liu
- Department of Hematopathy, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - L Han
- Department of Hematopathy, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - S S Wu
- Department of Hematopathy, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Y Liu
- Department of Hematopathy, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Q L Gao
- Department of Hematopathy, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y P Song
- Department of Hematopathy, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - K S Zhou
- Department of Hematopathy, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
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15
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Feng YH, Yue HX, Zhan YL, Shi YJ, Chen YL, Wang YW, Wu SS, Cai SY, Jiang Y. [Study on mental health status of pregnant women and its influencing factors in the third trimester]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:853-858. [PMID: 34814478 DOI: 10.3760/cma.j.cn112338-20200827-01102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To understand the mental health status of pregnant women in the third trimester of pregnancy, and explore the influencing factors. Methods: The general demographic information and pregnancy information of 575 pregnant women in the Chinese Pregnant Women Cohort Study were collected. The mental health status of pregnant women in the third trimester was investigated by using Edinburgh Postpartum Depression Scale, Self-Rating Anxiety Scale and University of California at Los Angeles. Multivariate unconditional logistic regression was used to analyze the influencing factors for mental health of pregnant women. Results: In the third trimester of pregnancy, the incidence of depression was 16.52%, the incidence of anxiety was 11.13%, and the incidence of feeling loneliness was 26.26%. Logistic regression analysis showed that compared with those with education level of junior high school below, those with education level of college or bachelor's degree (OR=0.418, 95%CI: 0.184-0.950) and master's degree or above (OR=0.116, 95%CI: 0.027-0.503) were less likely to feel loneliness. Pregnant women with higher annual family income (10 000 RMB yuan) were less likely to suffer from depression (≥20 vs. <10: OR=0.527, 95%CI: 0.279-0.998), anxiety (10-20 vs. <10: OR=0.363, 95%CI: 0.180-0.731; ≥20 vs. <10: OR=0.271, 95%CI: 0.132-0.554) and feeling loneliness (≥20 vs. <10: OR=0.477, 95%CI: 0.276-0.826). Conclusions: The education level and family income have impacts on the mental health status of pregnant women in the third trimester. Medical staff should give targeted psychological advice to pregnant women to improve their mental health status.
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Affiliation(s)
- Y H Feng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H X Yue
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y L Zhan
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y J Shi
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y L Chen
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y W Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - S S Wu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - S Y Cai
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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16
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Gao GX, Wang ZH, Liu WH, Xie F, Xu W, Gang TR, Wu SS, Qu X. [Clinical application of single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation]. Zhonghua Wai Ke Za Zhi 2021; 59:121-126. [PMID: 33378804 DOI: 10.3760/cma.j.cn112139-20200916-00707] [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 examine the clinical application value of single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation in the treatment of early breast cancer. Methods: From February 2014 to July 2019, the clinic-pathological data of 34 early breast cancer patients received single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation at Department of General Surgery, Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed and followed up. All the patients were female, with an age of 46(11) years (M(QR)) (range: 26 to 64 years). The radical cure degree of operation, cosmetic effect after operation were evaluated. The satisfaction to operation and personal quality of life after operation was accessed by BREAST-Q scale. Results: All surgical procedures were successfully completed. The operation time was (313.4±11.7) minutes (range: 200 to 485 minutes). The blooding-liquid was (33.8±3.3) ml (range: 10 to 100 ml). There were 5 cases (14.7%) of nipple areola necrosis after operation, of which 1 patient received taking the prosthesis out because of prosthesis exposure. There was no capsular contracture or postoperative bleeding case. The follow-up time was 35(17) months (range: 12 to 77 months), and there was one case suffering local recurrence and metastasis, and another suffering metastasis. The scores of postoperative breast satisfaction, psychosocial status, chest wall status and sexual health were 78.32±2.57 (range: 55 to 100), 89.12±2.30 (range: 82 to 100), 91.47±1.33 (range: 43 to 100), and 78.50±2.68 (range: 39 to 100). Conclusion: Single-port inflatable endoscopic nipple sparing mastectomy with immediate reconstruction using prosthesis implantation in the treatment of early breast cancer can achieve provided curative and cosmetic effect on patients with breast cancer, with good patients' postoperative quality of life and satisfaction.
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Affiliation(s)
- G X Gao
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Z H Wang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - W H Liu
- Department of Surgery, Huairou Maternal and Child Health Care Hospital, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 101400, China
| | - F Xie
- Department of Breast Surgery, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, China
| | - W Xu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - T R Gang
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - S S Wu
- Department of Clinical Epidemiology and Evidence-Based Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - X Qu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
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17
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Cheng WL, Liu XR, Zuo Y, Zheng W, Wu SS, Jiang B. [Effect of levothyroxine treatment on pregnancy outcomes in euthyroid women with thyroid autoantibody positive: a Meta-analysis]. Zhonghua Fu Chan Ke Za Zhi 2021; 56:58-63. [PMID: 33486929 DOI: 10.3760/cma.j.cn112141-20200312-00215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To conduct a systematic review of the association of levothyroxine treatment with pregnancy outcomes in euthyroid women who are thyroid autoantibody positive. Methods: Medline, Excerpta Medica (EMBASE), Cochrane Library, China National Knowledge Infrastructure (CNKI), China Biology Medicine (CBM), Wanfang data and VIP database were searched from inception until Jan. 28, 2020. All published randomized controlled trials assessing the association of levothyroxine treatment with pregnancy outcomes in euthyroid women with thyroid autoantibody-positive were included. STATA 11.0 and RevMan 5.3 softwares were used to perform this Meta-analysis. Results: A total of 6 studies met the inclusion criteria, with 2 188 women randomized. Meta-analysis showed that there was no significantly association between miscarriage (OR=0.85, 95%CI: 0.65-1.11, P=0.234) and preterm birth (OR=0.79, 95%CI: 0.54-1.16, P=0.224) with levothyroxine treatment. Conclusions: Levothyroxine therapy could not reduce the risk of miscarriage and preterm birth in euthyroid women with thyroid autoantibody-positive. Therefore, levothyroxine should be used with caution for these pregnant women.
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Affiliation(s)
- W L Cheng
- Obstetrics and Gynecology Clinic and Key Laboratory of Birth Defects and Related Women and Children Diseases, West China Second Hospital of Sichuan University, Chengdu 610041, China
| | - X R Liu
- Obstetrics and Gynecology Clinic and Key Laboratory of Birth Defects and Related Women and Children Diseases, West China Second Hospital of Sichuan University, Chengdu 610041, China
| | - Y Zuo
- Obstetrics and Gynecology Clinic and Key Laboratory of Birth Defects and Related Women and Children Diseases, West China Second Hospital of Sichuan University, Chengdu 610041, China
| | - W Zheng
- Obstetrics and Gynecology Clinic and Key Laboratory of Birth Defects and Related Women and Children Diseases, West China Second Hospital of Sichuan University, Chengdu 610041, China
| | - S S Wu
- Obstetrics and Gynecology Clinic and Key Laboratory of Birth Defects and Related Women and Children Diseases, West China Second Hospital of Sichuan University, Chengdu 610041, China
| | - B Jiang
- Obstetrics and Gynecology Clinic and Key Laboratory of Birth Defects and Related Women and Children Diseases, West China Second Hospital of Sichuan University, Chengdu 610041, China
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18
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Wang J, Yu L, Wu SS, Li J, Xiao X, Gao D, Tong Y. [Interpretation for the group standards in guidelines for personal protection against coronavirus disease 2019 for diseases control person]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1192-1194. [PMID: 32867423 DOI: 10.3760/cma.j.cn112338-20200514-00723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
As an emerging infectious disease, the COVID-19 threatened the safety of personnel in the prevention and control during the COVID-19 pandemic. Beijing Association of Preventive Medicine organizes the Beijing CDC and other organizations drafted the group standard entitled "Guidelines for personal protection against coronavirus disease 2019 for diseases control person (T/BPMA 0002-2020)" , according to years of scientific research on personal protection. Based on the principles of emphasizing the scientific, normative and safe nature, the standard was drafted to put forward the reasonable selection and correct use of personal protective equipment for disease control personnel, as well as the procedures for personal protective equipment. The standard provided a standardized basis for ensuring the safety of disease control personnel in contacting and handling of the new coronary pneumonia outbreaks with high risks.
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Affiliation(s)
- J Wang
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - L Yu
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - S S Wu
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - J Li
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - X Xiao
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - D Gao
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
| | - Y Tong
- Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine Research, Beijing 100013, China
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Yue HX, Feng YH, Wu SS, Wang YW, Cai SY, Shi YJ, Chen YL, Zhan YL, Ma LK, Jiang Y. [Effects of changes in physical activities on depressive symptoms during pregnancy: a cohort study]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:834-838. [PMID: 32564545 DOI: 10.3760/cma.j.cn112338-20200118-00043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the effect of changes in physical activities on depressive symptoms in the second trimester of pregnancy. Methods: Data from the Chinese Pregnant Women Cohort Study, from July 25, 2017 to November 26, 2018, were used. Women who had effectively completed the survey of physical activity and depressive symptoms in the first and second trimesters of pregnancy, were recruited. Both International Physical Activity Questionnaire-short and Edinburgh Postnatal Depression Scale were used, respectively. Pregnant women who had completed two surveys were included in our study and were divided into two groups according to the depressive symptoms, measured at the baseline. Among the pregnant women without depressive symptoms at the baseline, logistic regression was used to analyze the effects of changes in physical activity on the prevention of depressive symptoms. Effect on the reduction of depressive symptoms was analyzed, using the same method. Results: The prevalence rates of depressive symptoms were 23.83% and 20.57% in the baseline and second trimester, respectively. After adjusting for age, education level, occupation, family annual income and pre-pregnancy BMI, data from the logistic regression showed that women without depressive symptoms and with increased and adequate physical activities in the baseline, were with lower risks to develop depressive symptoms in the second trimester (OR=0.479, 95%CI: 0.335-0.684;OR=0.566, 95%CI: 0.394-0.815). Among women with depressive symptoms in the baseline survey, association between physical activity and depressive symptoms was not statistically significant (P>0.05). Conclusions: Increased and adequate physical activities showed preventive effects on depressive symptoms during pregnancy, but the remission effect was not obvious in women with depressive symptoms. Pregnant women should be encouraged to increase their physical activities while screening programs should also be carried out to reduce the depressive symptoms during pregnancy.
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Affiliation(s)
- H X Yue
- School of Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y H Feng
- School of Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - S S Wu
- School of Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y W Wang
- School of Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - S Y Cai
- School of Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y J Shi
- School of Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y L Chen
- School of Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y L Zhan
- School of Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - L K Ma
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y Jiang
- School of Public Health, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
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20
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Hao P, Li YB, Wu SS, Yang XY. [Investigation and analysis of work-related occupational musculoskeletal disorders and associated risk factors of manufacturing workers]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 38:187-192. [PMID: 32306691 DOI: 10.3760/cma.j.cn121094-20181204-00527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the prevalence of Work-related musculoskeletal disorders(WMSDs) and identify associated risk factors and provide evidence of taking measures for prevention. Methods: By Cluster sampling, 1 920 employees of 35 manufacturing enterprises were selected as study subjects from May to December 2017. The questionnnaire were including population characteristics、related factors of ergonomics、job burnout、insomnia and WMSDs. Results: The prevalence of waist was the highest among 9 body parts, with 52.0%, followed by the prevalence of neck 50.6%, more than 1 muscle diseases were by the prevalence of 74.7%. Single factor analysis showed that different levels of labor intensity, daily standing time (h) , daily sitting time(h) , daily bending time (h) , daily lifting of 5kg object time (h) group waist disease and prevalence of more than one musculoskeletal disease were different, The difference was statistically sig- nificant (P<0.05). More than 5 years of working year, labor intensity of Class III, daily bending time ≥2 h, depression, disorders (P<0.05). life satisfaction, job burnout, and insomnia are all risk factors for waist and musculoskeletal. The daily sitting time ≥2 h and the high life satisfaction were protective factors for waist and WMSDs (P<0.05). Conclusion: The prevalence rate of WMSDs among manufacturing workers is strong, and Manager should take the aspects of ergonomics and psychological factors meassure to reduce WMSDs, These meassure were including increasing sitting time, reducing bending time.
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Affiliation(s)
- P Hao
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - Y B Li
- HeBei District for Disease Control and Prevention, Tianjin 300000, China
| | - S S Wu
- DongLi District for Disease Control and Prevention, Tianjin 300301, China
| | - X Y Yang
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
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Wu SS, Yu JN, Jiao J, Chen GS, Zhang CY, Yu SF. [Association between PON2 gene polymorphisms and susceptibility to noise-induced hearing loss]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2020; 38:128-132. [PMID: 32306677 DOI: 10.3760/cma.j.issn.1001-9391.2020.02.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the relationship between SNP and noise-induced hearing loss (NIHL) susceptibility in occupational noise exposure population in China. Methods: From 6297 for a certain steel works in contact with noise, contact length of 3 years or more and workplace noise exposure intensity of 80 dB (A) , ears or high frequency (3 000, 4 000, 6 000 Hz) average of hearing acuity 40 dB (HL) , or high frequency loss in both ears, on the basis of single whisper frequency (500, 1, 000, 2 000 Hz) average threshold of 26 dB (HL) or object as case group. A case-control study was designed with 1:1 matching. Subjects with the same gender, the same type of work, age ±5 years old, and working age ±2 years after noise exposure were selected as the control group. Subjects with any whisper frequency (500, 1, 000, 2, 000 Hz) whose hearing threshold in any frequency band was ≤25 dB (A) and whose average high-frequency hearing threshold in pure tone hearing test was <35 dB (A) were selected as the control group. Four sites of PON2 gene were genotyped by medium-and high-throughput SNP genotyping. Univariate logistic regression was used to analyze the relationship between single SNP polymorphism and NIHL. Results: A total of 286 case-control pairs were included. Smoking was statistically significant difference between cases and controls (P<0.001) . Conclusion: No statistical difference has been found between single SNP polymorphism and NIHL. At the level of greater than 92 dB of high noise exposure, rs7785846 (CT+TT) genotype is a risk factor for occupational noise deafness, and its OR is 2.74 (95%CI: 1.09-6.89) compared with wild homozygous type (CC) . Conclusion. The rs7785846 (CT+TT) genotype carriers of PON2 gene are more susceptible to hearing impairment when exposed to high noise intensity.
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Affiliation(s)
- S S Wu
- SINOPEC Research Institute of Safty Engineering, Qingdao 266000, China
| | - J N Yu
- SINOPEC Research Institute of Safty Engineering, Qingdao 266000, China
| | - J Jiao
- Henan Provincial Institute of Occupational Health, Zhengzhou 450052, China
| | - G S Chen
- Institute of Occupational Medicine of Wugang, Wugang 462500, China
| | - C Y Zhang
- SINOPEC Research Institute of Safty Engineering, Qingdao 266000, China
| | - S F Yu
- Henan Medical College, Zhengzhou 451191, China
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Cai SY, Feng YH, Wang YW, Wu SS, Zhan YL, Ma S, Shen ZZ, Shi YJ, Chen YL, Ma LK, Jiang Y. [Factors associated with sleep quality during first and second trimester in Chinese pregnant woman]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:711-715. [PMID: 32447912 DOI: 10.3760/cma.j.cn112338-20190801-00572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate sleep quality in pregnant women during their first and second trimester and to identify risk factors. Methods: Data was from the Chinese Pregnant Women Cohort Study. A total of 3 618 pregnant women were included, with the exclusion 346 women who had missing information. Sociodemographic, health-related behavior, depression and sleep quality information were collected and analyzed. Logistic regression analysis were used to explore the influencing factors of sleep quality in pregnant women. Results: Among the 3 618 pregnant woman 28.2% had poor sleep quality in their first trimester and 28.7% in the second trimester. 15.2% pregnant women had progressively worse sleep and 13.0% had persistently poor sleep had pregnant women were generally suffered from poor sleep quality, difficulty falling asleep, sleep disorders and daily fatigue. Regular diet (OR=0.75, 95%CI: 0.62-0.92) and work (OR=0.84,95%CI: 0.71-0.99) in the first trimester were protective factors of sleep quality in pregnant women. Age ≥30 year old (OR=1.19, 95%CI: 1.03-1.37), passive smoking (OR=1.18, 95%CI: 1.02-1.36) and depression (OR=2.25, 95%CI: 1.95-2.61) in the first trimester were risk factors. Conclusions: The rate of poor sleep quality are high among Chinese pregnant woman during their first and second trimester. The risk factors of sleep quality are multiple. Regular diet and work, reduction of tobacco exposure, alleviation of depression symptom may help improve sleep quality among pregnant women.
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Affiliation(s)
- S Y Cai
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y H Feng
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y W Wang
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - S S Wu
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y L Zhan
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - S Ma
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Z Z Shen
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y J Shi
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y L Chen
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - L K Ma
- Department of Gynecology and Obstetrics, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Y Jiang
- School of Public Health, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
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Wang Y, Zhang L, Wu SS, Duan W, Sun Y, Zhang M, Zhang XX, Zhang Y, Ma CN, Wang QY, Yang P. [Application of the moving epidemic method in the development of epidemic thresholds and tiered warning alert approachs for influenza prevention in Beijing]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:201-206. [PMID: 32164130 DOI: 10.3760/cma.j.issn.0254-6450.2020.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To calculate both the epidemic and intensity thresholds for different levels in Beijing and to establish a tiered alert system in the 2018-2019 influenza season as well as to evaluate the performance of calculated thresholds. Method: Weekly count of influenza-like illness and percentage of influenza-like illness (ILI%) of the last five influenza seasons were modeled by 'moving epidemic method' (MEM) to calculate the influenza epidemic and intensity thresholds at different levels. A cross-validation procedure was used to evaluate the performance. Indicators of Matthew correlation coefficient, Youden's index, sensitivity and specificity were calculated. Results: For weekly count of influenza-like illness, data showed that the epidemic threshold for 2018-2019 influenza season was 12 984 and the medium, high and very high intensity thresholds were 22 503, 37 589, 47 157, respectively. Matthew correlation coefficient of the epidemic threshold was 62% and youden's index as 60% , sensitivity as 69%, specificity as 91%. Data on weekly ILI%, the epidemic threshold for 2018-2019 influenza season was 1.66%, with medium, high and very high intensity thresholds as 2.46%, 3.84% and 4.66%, respectively. The overall Matthew correlation coefficient of the epidemic threshold was 59%, with 54% for the Youden's index, sensitivity as 60% and specificity as 94%. Conclusions: MEM produced a good specific signal for detecting the influenza epidemics and the accuracy of the method was acceptable. The early warning performance regarding the application of weekly count on influenza-like illness was slightly better than ILI%. This method could be applied in the practical influenza epidemic alert "work in Beijing" .
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Affiliation(s)
- Y Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - L Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - S S Wu
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - W Duan
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y Sun
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - M Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - X X Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Y Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - C N Ma
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - Q Y Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China
| | - P Yang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing Research Center for Preventive Medicine, Beijing 100013, China; School of Public Health, Capital Medical University, Beijing 100069, China
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Wei YF, Yin P, Liu L, Wu SS, Jia L, Sun S. Effects of APELIN-13 on the expression of IL-6, TNF-α, and IFN-γ in rats with experimental autoimmune neuritis. J BIOL REG HOMEOS AG 2019; 33:1369-1376. [PMID: 31637897 DOI: 10.23812/19-161-a] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The objective of this paper was to study the effects of PYR-ARG-PRO-ARG-LEU-SER-HIS-YSGLY-PRO-MET-PRO-PHE-OH (APELIN-13) on the expression of inflammatory factors interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and interferon-γ (IFN-γ) in rats with experimental autoimmune neuritis (EAN). A total of 30 rats were divided into a control group, an EAN group, and an APELIN-13 group. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of IL-6, TNF-α, and IFN-γ in rat plasma. Real-time quantitative Polymerase Chain Reaction (PCR) and Western blot were used to detect the protein and mRNA expression of IL-6, TNF-α, and IFN-γ in rat lymph nodes. In the EAN group, the infiltration of various types of inflammatory cells and focal demyelination were observed near the nerve fascicles of sciatic nerves. Compared with the EAN group, the infiltration of inflammatory cells and demyelination in the APELIN-13 group decreased significantly. The levels of plasma IL-6, TNF-α, and IFN-γ in the EAN group were significantly higher than those in the control group (P < 0.05) but significantly lower than those in the APELIN-13 group (P < 0.05). Compared with the control group, the mRNA and protein expression of IL-6, TNF-α, and IFN-γ increased significantly (P < 0.05) in the EAN group but decreased significantly in the APELIN-13 group (P < 0.05). In conclusion, APELIN-13 exerted a protective effect against EAN in rats.
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Affiliation(s)
- Y F Wei
- Department of Neurology, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China
| | - P Yin
- Department of Neurology, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China
| | - L Liu
- Department of Neurology, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China
| | - S S Wu
- Department of Neurology, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China
| | - L Jia
- Department of Nursing, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China
| | - S Sun
- Department of Geriatric Neurology, Heilongjiang Provincial Hospital, Harbin, Heilongjiang, China
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Shen ZZ, Wang YW, Ma S, Zhan YL, Wu SS, Feng YH, Cai SY, Ma LK, Jiang Y. [Risk factors for preterm birth, low birth weight and small for gestational age: a prospective cohort study]. Zhonghua Liu Xing Bing Xue Za Zhi 2019; 40:1125-1129. [PMID: 31594158 DOI: 10.3760/cma.j.issn.0254-6450.2019.09.020] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To study the relationship between exposure factors in early pregnancy and preterm birth (PB), low birth weight (LBW) and small for gestational age (SGA) of neonates. Methods: A total of 3 172 pregnant women who were enrolled in the project of Chinese Pregnant Women Cohort Study-Peking Union Medical College (CPWCS-PUMC) from July 25, 2017 to July 24, 2018 and delivered before December 31, 2018 were selected as subjects in this study. The relationship between exposure factors in early pregnancy and adverse outcomes of neonatal delivery was analyzed by using binary logistic regression analysis. Results: The incidence rates of PB, LBW and SGA were 4.76%, 3.53% and 5.74%, respectively. In terms of PB, the analysis results showed that the gestational weight gain (GWG) and living in northern China were protective factors, while premature rupture of membranes, gestational hypertension, dental examination or treatment within 1-3 years and family with 3-4 members were risk factors. In the respect of LBW, GWG and daily consumption of milk and dairy products were the protective factors, while premature rupture of membranes, gestational hypertension, sedentary working time more than 6 hours, dental examination or treatment within 1-3 years and passive smoking were risk factors. For SGA, baby girl, passive smoking, peanut oil consumption and unsalted taste were risk factors, while folic acid supplementation was protective factor. Conclusion: The risk factors for PB, LBW and SGA were multifactorial, and relevant specific measures should be taken to reduce the occurrence of adverse neonatal outcomes.
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Affiliation(s)
- Z Z Shen
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Y W Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - S Ma
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Y L Zhan
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - S S Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Y H Feng
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - S Y Cai
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - L K Ma
- Department of Obstetrics and Gynecology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing 100730, China
| | - Y Jiang
- Department of Epidemiology and Health Statistics, School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
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26
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An Q, Asfandiyarov R, Azzarello P, Bernardini P, Bi XJ, Cai MS, Chang J, Chen DY, Chen HF, Chen JL, Chen W, Cui MY, Cui TS, Dai HT, D’Amone A, De Benedittis A, De Mitri I, Di Santo M, Ding M, Dong TK, Dong YF, Dong ZX, Donvito G, Droz D, Duan JL, Duan KK, D’Urso D, Fan RR, Fan YZ, Fang F, Feng CQ, Feng L, Fusco P, Gallo V, Gan FJ, Gao M, Gargano F, Gong K, Gong YZ, Guo DY, Guo JH, Guo XL, Han SX, Hu YM, Huang GS, Huang XY, Huang YY, Ionica M, Jiang W, Jin X, Kong J, Lei SJ, Li S, Li WL, Li X, Li XQ, Li Y, Liang YF, Liang YM, Liao NH, Liu CM, Liu H, Liu J, Liu SB, Liu WQ, Liu Y, Loparco F, Luo CN, Ma M, Ma PX, Ma SY, Ma T, Ma XY, Marsella G, Mazziotta MN, Mo D, Niu XY, Pan X, Peng WX, Peng XY, Qiao R, Rao JN, Salinas MM, Shang GZ, Shen WH, Shen ZQ, Shen ZT, Song JX, Su H, Su M, Sun ZY, Surdo A, Teng XJ, Tykhonov A, Vitillo S, Wang C, Wang H, Wang HY, Wang JZ, Wang LG, Wang Q, Wang S, Wang XH, Wang XL, Wang YF, Wang YP, Wang YZ, Wang ZM, Wei DM, Wei JJ, Wei YF, Wen SC, Wu D, Wu J, Wu LB, Wu SS, Wu X, Xi K, Xia ZQ, Xu HT, Xu ZH, Xu ZL, Xu ZZ, Xue GF, Yang HB, Yang P, Yang YQ, Yang ZL, Yao HJ, Yu YH, Yuan Q, Yue C, Zang JJ, Zhang F, Zhang JY, Zhang JZ, Zhang PF, Zhang SX, Zhang WZ, Zhang Y, Zhang YJ, Zhang YL, Zhang YP, Zhang YQ, Zhang Z, Zhang ZY, Zhao H, Zhao HY, Zhao XF, Zhou CY, Zhou Y, Zhu X, Zhu Y, Zimmer S. Measurement of the cosmic ray proton spectrum from 40 GeV to 100 TeV with the DAMPE satellite. Sci Adv 2019; 5:eaax3793. [PMID: 31799401 PMCID: PMC6868675 DOI: 10.1126/sciadv.aax3793] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 09/03/2019] [Indexed: 05/23/2023]
Abstract
The precise measurement of the spectrum of protons, the most abundant component of the cosmic radiation, is necessary to understand the source and acceleration of cosmic rays in the Milky Way. This work reports the measurement of the cosmic ray proton fluxes with kinetic energies from 40 GeV to 100 TeV, with 2 1/2 years of data recorded by the DArk Matter Particle Explorer (DAMPE). This is the first time that an experiment directly measures the cosmic ray protons up to ~100 TeV with high statistics. The measured spectrum confirms the spectral hardening at ~300 GeV found by previous experiments and reveals a softening at ~13.6 TeV, with the spectral index changing from ~2.60 to ~2.85. Our result suggests the existence of a new spectral feature of cosmic rays at energies lower than the so-called knee and sheds new light on the origin of Galactic cosmic rays.
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Affiliation(s)
| | - Q. An
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - R. Asfandiyarov
- Department of Nuclear and Particle Physics, University of Geneva, Geneva CH-1211, Switzerland
| | - P. Azzarello
- Department of Nuclear and Particle Physics, University of Geneva, Geneva CH-1211, Switzerland
| | - P. Bernardini
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Lecce, I-73100 Lecce, Italy
| | - X. J. Bi
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
| | - M. S. Cai
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - J. Chang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - D. Y. Chen
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - H. F. Chen
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - J. L. Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - W. Chen
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - M. Y. Cui
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - T. S. Cui
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - H. T. Dai
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - A. D’Amone
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Lecce, I-73100 Lecce, Italy
| | - A. De Benedittis
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Lecce, I-73100 Lecce, Italy
| | - I. De Mitri
- Gran Sasso Science Institute (GSSI), Via Iacobucci 2, I-67100 L’Aquila, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)–Laboratori Nazionali del Gran Sasso, Assergi, I-67100 L’Aquila, Italy
| | - M. Di Santo
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Lecce, I-73100 Lecce, Italy
| | - M. Ding
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - T. K. Dong
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Y. F. Dong
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - Z. X. Dong
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - G. Donvito
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Bari, I-70125, Bari, Italy
| | - D. Droz
- Department of Nuclear and Particle Physics, University of Geneva, Geneva CH-1211, Switzerland
| | - J. L. Duan
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - K. K. Duan
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - D. D’Urso
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Perugia, I-06123 Perugia, Italy
| | - R. R. Fan
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - Y. Z. Fan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - F. Fang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - C. Q. Feng
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - L. Feng
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - P. Fusco
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Bari, I-70125, Bari, Italy
- Dipartimento di Fisica “M. Merlin” dell’Università e del Politecnico di Bari, I-70126 Bari, Italy
| | - V. Gallo
- Department of Nuclear and Particle Physics, University of Geneva, Geneva CH-1211, Switzerland
| | - F. J. Gan
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - M. Gao
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - F. Gargano
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Bari, I-70125, Bari, Italy
| | - K. Gong
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - Y. Z. Gong
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - D. Y. Guo
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - J. H. Guo
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - X. L. Guo
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - S. X. Han
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - Y. M. Hu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - G. S. Huang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - X. Y. Huang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Y. Y. Huang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - M. Ionica
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Perugia, I-06123 Perugia, Italy
| | - W. Jiang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - X. Jin
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - J. Kong
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - S. J. Lei
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - S. Li
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - W. L. Li
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - X. Li
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - X. Q. Li
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - Y. Li
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y. F. Liang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Y. M. Liang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - N. H. Liao
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - C. M. Liu
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - H. Liu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - J. Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - S. B. Liu
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - W. Q. Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y. Liu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - F. Loparco
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Bari, I-70125, Bari, Italy
- Dipartimento di Fisica “M. Merlin” dell’Università e del Politecnico di Bari, I-70126 Bari, Italy
| | - C. N. Luo
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - M. Ma
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - P. X. Ma
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - S. Y. Ma
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - T. Ma
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - X. Y. Ma
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - G. Marsella
- Dipartimento di Matematica e Fisica E. De Giorgi, Università del Salento, I-73100 Lecce, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Lecce, I-73100 Lecce, Italy
| | - M. N. Mazziotta
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Bari, I-70125, Bari, Italy
| | - D. Mo
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - X. Y. Niu
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - X. Pan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - W. X. Peng
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - X. Y. Peng
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - R. Qiao
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - J. N. Rao
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - M. M. Salinas
- Department of Nuclear and Particle Physics, University of Geneva, Geneva CH-1211, Switzerland
| | - G. Z. Shang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - W. H. Shen
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - Z. Q. Shen
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Z. T. Shen
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - J. X. Song
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - H. Su
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - M. Su
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- Department of Physics and Laboratory for Space Research, The University of Hong Kong, Pok Fu Lam, Hong Kong, China
| | - Z. Y. Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - A. Surdo
- Istituto Nazionale di Fisica Nucleare (INFN)–Sezione di Lecce, I-73100 Lecce, Italy
| | - X. J. Teng
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - A. Tykhonov
- Department of Nuclear and Particle Physics, University of Geneva, Geneva CH-1211, Switzerland
| | - S. Vitillo
- Department of Nuclear and Particle Physics, University of Geneva, Geneva CH-1211, Switzerland
| | - C. Wang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - H. Wang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - H. Y. Wang
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - J. Z. Wang
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - L. G. Wang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - Q. Wang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - S. Wang
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - X. H. Wang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - X. L. Wang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y. F. Wang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y. P. Wang
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Y. Z. Wang
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Z. M. Wang
- Gran Sasso Science Institute (GSSI), Via Iacobucci 2, I-67100 L’Aquila, Italy
- Istituto Nazionale di Fisica Nucleare (INFN)–Laboratori Nazionali del Gran Sasso, Assergi, I-67100 L’Aquila, Italy
| | - D. M. Wei
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - J. J. Wei
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Y. F. Wei
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - S. C. Wen
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - D. Wu
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - J. Wu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - L. B. Wu
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - S. S. Wu
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - X. Wu
- Department of Nuclear and Particle Physics, University of Geneva, Geneva CH-1211, Switzerland
| | - K. Xi
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Z. Q. Xia
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - H. T. Xu
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - Z. H. Xu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - Z. L. Xu
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Z. Z. Xu
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - G. F. Xue
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - H. B. Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - P. Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y. Q. Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Z. L. Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - H. J. Yao
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y. H. Yu
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Q. Yuan
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
- School of Astronomy and Space Science, University of Science and Technology of China, Hefei 230026, China
| | - C. Yue
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - J. J. Zang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - F. Zhang
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - J. Y. Zhang
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - J. Z. Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - P. F. Zhang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - S. X. Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - W. Z. Zhang
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - Y. Zhang
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Y. J. Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y. L. Zhang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y. P. Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - Y. Q. Zhang
- University of Chinese Academy of Sciences, Yuquan Road 19A, Beijing 100049, China
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Z. Zhang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210033, China
| | - Z. Y. Zhang
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - H. Zhao
- Institute of High Energy Physics, Chinese Academy of Sciences, Yuquan Road 19B, Beijing 100049, China
| | - H. Y. Zhao
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - X. F. Zhao
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - C. Y. Zhou
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - Y. Zhou
- Institute of Modern Physics, Chinese Academy of Sciences, Nanchang Road 509, Lanzhou 730000, China
| | - X. Zhu
- State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China
- Department of Modern Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y. Zhu
- National Space Science Center, Chinese Academy of Sciences, Nanertiao 1, Zhongguancun, Haidian District, Beijing 100190, China
| | - S. Zimmer
- Department of Nuclear and Particle Physics, University of Geneva, Geneva CH-1211, Switzerland
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Gao XY, Chen H, Ding XS, Wu SS, Wei W, Li HW. [Predictive value of NT-proBNP on admission on left ventricular ejection fraction and in-patients major adverse cardiac and cerebrovascular events in hospitalized patients with unstable angina]. Zhonghua Xin Xue Guan Bing Za Zhi 2019; 47:117-122. [PMID: 30818939 DOI: 10.3760/cma.j.issn.0253-3758.2019.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the predictive value of N-terminal pro-B-type natriuretic peptide (NT-proBNP) on admission on left ventricular ejection fraction (LVEF) and the in-hospital major adverse cardiac and cerebrovascular events (MACCE) in hospitalized patients with unstable angina (UA). Methods: Data of 2 972 consecutive hospitalized patients with UA in Beijing Friendship Hospital from January 2013 to September 2017 were retrospective analyzed. Patients were divided into 4 groups according to the level of NT-proBNP on admission: 733 cases with NT-proBNP lower than 61 ng/L, 749 cases with NT-proBNP between 61 and 133 ng/L, 747 cases with NT-proBNP between 133 and 326 ng/L, and 743 cases with NT-proBNP higher than 326 ng/L. LVEF and in-hospital MACCE were compared among 4 groups and the predictive value of NT-proBNP on admission on LVEF and in-hospital MACCE was determined by multiple logistical regression analysis. Results: LVEF value became lower with increasing on admission NT-proBNP value ((68.4±4.8)%, (68.2±5.2)%, (67.2±6.7)% and (62.6±10.4)%, F=77.98, P<0.01), while in-hospital MACCE was higher with increasing on admission NT-proBNP value (3.4% (25/733), 3.5% (26/749), 5.5% (41/747) and 7.3% (54/743), χ(2)=16.23, P<0.01) in NT-proBNP lower than 61 ng/L, NT-proBNP between 61 and 133 ng/L, NT-proBNP between 133 and 326 ng/L, and NT-proBNP higher than 326 ng/L group. Multiple logistic regression analysis showed that on admission NT-proBNP was an independent predictor for LVEF<50% (Exp(β)=5.875, 95%CI 3.382-10.207, P<0.001), but not predictor for in-hospital MACCE (Exp(β)=0.783, 95%CI 0.400-1.996, P=0.783). Conclusion: The on admission NT-proBNP level is an independent predictor of left ventricular systolic dysfunction (LVEF<50%), but not an independent predictor of total in-hospital MACCE in hospitalized patients with UA.
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Affiliation(s)
- X Y Gao
- Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - H Chen
- Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - X S Ding
- Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - S S Wu
- National Clinical Research Center of Digestive Diseases, Beijing 100050, China
| | - W Wei
- National Clinical Research Center of Digestive Diseases, Beijing 100050, China
| | - H W Li
- Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
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Zhang Q, Zhang WT, Wu SS, Yuan JJ, Tian L, Liu YY, Zuo WL, Song YP, Zhou KS. [Prognostic significance of miRNA-223 targeting SOX11 in mantle cell lymphoma]. Zhonghua Xue Ye Xue Za Zhi 2019; 39:579-583. [PMID: 30122018 PMCID: PMC7342219 DOI: 10.3760/cma.j.issn.0253-2727.2018.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
目的 探讨miR-223在套细胞淋巴瘤(MCL)患者中的表达及预后意义,并探讨可能的作用机制。 方法 以21例骨髓受累初治MCL患者为研究对象,以20例健康正常供者为正常对照,采用RQ-PCR法检测miR-223、SOX11 mRNA表达水平。构建过表达miR-223的MCL细胞系Granta519细胞,采用CCK8法和流式细胞术检测其增殖、周期和凋亡水平,采用Western blot法检测其SOX11蛋白表达水平,并利用双荧光素酶报告基因实验验证miR-223的靶基因。 结果 ①21例MCL患者中,男15例,女6例,中位年龄58(37~72)岁,其中17例为中高危组。与正常对照组比较,MCL组患者miR-223表达水平显著下调(1 244.1±1 935.2对14.7±10.5,P<0.001),且其低表达与MCL的IPI评分高危组(P=0.001)、LDH升高(P=0.001)、ECOG评分≥2分(P=0.035)等高危临床特征相关。②以患者组miR-223中位表达水平为阈值,将患者分为高表达组(10例)和低表达组(11例),生存分析结果显示前者的总生存时间较后者延长(36个月对12个月,P=0.021)。③体外实验结果显示,与对照组比较,过表达miR-223的Granta519细胞增殖受抑(96 h时最明显,P<0.001)、处于G2/M期的细胞明显减少(P<0.001)、细胞凋亡比例增加(P<0.001);Granta519细胞的SOX11蛋白表达水平较对照组明显降低。④miR-223可抑制SOX11的3′非翻译区;MCL患者的miR-223与SOX11 mRNA表达水平呈明显负相关(r=−0.81,P<0.001)。 结论 miR-223在MCL患者中低表达,且与不良预后相关,机制上可能通过靶向SOX11而发挥作用。
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Affiliation(s)
- Q Zhang
- Department of Hematology, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
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Zhang L, Wu SS, Shi WX, Duan W, Sun Y, Zhang M, Zhang XX, Wang QY, Yang P. [Establishment of the classified evaluation system on the levels of influenza epidemics through a synthetic index method, in Beijing]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:1096-1099. [PMID: 30180435 DOI: 10.3760/cma.j.issn.0254-6450.2018.08.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To establish a classified evaluation system for recognizing the levels of influenza epidemics and to explore the new reporting system on influenza epidemics. Methods: The following 3 indicators, including 1) the number of influenza-like illness, 2) positive rate of detection on influenza virus nucleic acids, and 3) the number of influenza outbreaks were chosen to calculate the synthetic index and to classify the grades of evaluation. Results: 209 weeks during 2013-2017 were classified into 5 grades: Grade 1 were 110 weeks (52.63%), Grade 2 were 47 weeks (22.49%), Grade 3 were 44 weeks (21.05%), Grade 4 were 8 weeks (3.83%), and Grade 5 were 0 week. Conclusion: This classified evaluation system provided simple, comprehensive and comparable reference indicators and used for the evaluation on influenza epidemics, also providing suggestions for influenza prevention and control accordingly.
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Affiliation(s)
- L Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medicine Research, Beijing 100013, China
| | - S S Wu
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medicine Research, Beijing 100013, China
| | - W X Shi
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medicine Research, Beijing 100013, China
| | - W Duan
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medicine Research, Beijing 100013, China
| | - Y Sun
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medicine Research, Beijing 100013, China
| | - M Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medicine Research, Beijing 100013, China
| | - X X Zhang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medicine Research, Beijing 100013, China
| | - Q Y Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medicine Research, Beijing 100013, China
| | - P Yang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Control and Prevention, Beijing Center for Preventive Medicine Research, Beijing 100013, China; School of Public Health, Capital Medical University, Beijing 100069, China
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Ma CN, Peng XM, Wu SS, Zhang DT, Zhao JC, Lu GL, Pan Y, Cui SJ, Liu YM, Shi WX, Zhang M, Wang QY, Yang P. [Study on the super-antigen genes of group A Streptococcus pyogenes strains isolated from patients with scarlet fever and pharyngeal infection, in Beijing, 2015-2017]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:1375-1380. [PMID: 30453440 DOI: 10.3760/cma.j.issn.0254-6450.2018.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the characteristics of super-antigen (SAg) of group A Streptococcus pyogenes (GAS), isolated from patients with scarlet fever or pharyngeal infections in Beijing between 2015-2017. Methods: Throat swab specimens from patients with scarlet fever or pharyngeal infections were collected and tested for GAS. Eleven currently known SAg genes including SpeA, speC, speG, speH, speI, speJ, speK, speL, speM, smeZ and ssa were tested by real-time PCR while M protein genes (emm genes) were amplified and sequenced by PCR. Results: A total of 377 GAS were isolated from 6 801 throat swab specimens, with the positive rate as 5.5%. There were obvious changes noticed among speC, speG, speH and speK in three years. A total of 45 SAg genes profiles were observed, according to the SAgs inclusion. There were significant differences appeared in the frequencies among two of the highest SAg genes profiles between emm1 and emm12 strains (χ(2)=38.196, P<0.001; χ(2)=72.310, P<0.001). There also appeared significant differences in the frequencies of speA, speH, speI and speJ between emm1 and emm12 strains (χ(2)=146.154, P<0.001; χ(2)=52.31, P<0.001; χ(2)=58.43, P<0.001; χ(2)=144.70, P<0.001). Conclusions: Obvious changes were noticed among SAg genes including speC, speG, speH and speK from patients with scarlet fever or pharyngeal infections in Beijing between 2015-2017. SAg genes including speA, speH, speI and speJ appeared to be associated with the emm 1 and emm 12 strains. More kinds of SAg genes profiles were isolated form GAS but with no significant differences seen in the main SAg genes profiles, during the epidemic period.
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Affiliation(s)
- C N Ma
- Beijing Municipal Center for Disease Control and Prevention, Beijing Research Center for Preventive Medicine, Beijing 100013, China
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Jo EA, Wu SS, Han HR, Cho KI. 221Impact of exergame vs. treadmill exercise on cardiorespiratory fitness, endothelial function and epicardial fat thickness in patients with high cardiovascular risk. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy564.221] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- E A Jo
- Kosin University School of Medicine, Convergence medicine & Exercise science research institute, Busan, Korea Republic of
| | - S S Wu
- Pusan National University Hospital, Department of Sports Science, Pusan, Korea Republic of
| | - H R Han
- Pusan National University Hospital, Department of Sports Science, Pusan, Korea Republic of
| | - K I Cho
- Kosin University School of Medicine, Cardiology, Internal medicine, Busan, Korea Republic of
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Wu SS, Wang QY, Yang P, Zhang HY, Chu YH, Li HJ, Hua WY, Tang YQ, Li C. [Analysis on the incidence of influenza-like syndromes and related health behavior factors among Beijing residents]. Zhonghua Yu Fang Yi Xue Za Zhi 2018; 52:145-150. [PMID: 29429268 DOI: 10.3760/cma.j.issn.0253.9624.2018.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: The objective was to identify the incidence of influenza-like syndromes and related health behavior factors among Beijing residents. Methods: From December 6, 2013 to January 16, 2014, we selected 150 villages or communities from 30 towns or streets as survey locations using a multi-stage random sampling method, and then conducted a cross-sectional study among 7 354 residents who aged 18 years or above and had live in Beijing for more than a half year using self-administered anonymous questionnaires, and totally 7 327 valid questionnaires are collected. The questionnaire consisted of demographic information, self-reported influenza-like syndromes in the past two weeks, and health behaviors. Multiple logistic regression models were used to identify the factors associated with self-reported influenza-like syndromes. Results: The mean (SD) age of the partcipants was 44.6 (15.2) years. Among them, 6.9% (506 cases) reported having influenza like illness during the past two weeks. The multiple logistic regression analysis indicated that regular physical exercise, optimal hand hygiene, and avoidance of going to the crowded places during respiratory infectious disease epidemics were significantly associated with a lower likelihood of reporting influenza-like syndromes, compared with those without regular physical exercises, without optimal hand hygiene, and not avoiding going to the crowded places, and the OR(95%CI) were 0.80 (0.66-0.97), 0.75 (0.57-0.99) and 0.80 (0.65-0.98), respectively. Conclusion: Personal health behaviors were associated with the incidence of respiratory infectious diseases such as influenza in Beijing, and future interventions to improve personal hygiene behaviors are needed to prevent the spread of respiratory infectious diseases.
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Affiliation(s)
- S S Wu
- Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Diseases Prevention and Control (Beijing Research Center for Preventive Medicine), Beijing 100013, China
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Wu SS, Yu JN, He CH, Mu HX, Wang C, Zhang Y, Zhang CY, Yu SF, Li XL. [Current status of hearing loss and related influencing factors in workers with noise exposure in refining and chemical industry]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2018; 34:917-919. [PMID: 28241680 DOI: 10.3760/cma.j.issn.1001-9391.2016.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the current status of hearing loss and related influencing factors in workers with noise exposure in refining and chemical industry. Methods: From August 2015 to March 2016, the investigation method of collecting the data of past occupational health examinations and measuring noise in working environment was used to enroll 8 672 male workers. Results: Of all workers, 11.6% were diagnosed with hearing loss. There were significant differences in the distribution of hearing impairment among workers exposed to noise at different ages, device types and types of work (χ(2)=17.80, 77.80 and 30.53, all P<0.05) . The level of noise exposure≥85 dB (A) (OR=5.79, 95%CI 3.70-8.81) , working years with noise exposure (OR=1.57, 95%CI 1.05-2.43) , and 25 years (OR=3.29, 95%CI 2.08-5.71) were risk factors for hearing loss in workers with noise exposure in refining and chemical industry. Conclusion: The level of noise exposure and working years with noise exposure are main influencing factors for hearing loss in workers with noise exposure in refining and chemical industry.
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Affiliation(s)
- S S Wu
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
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Lin B, Chen ZD, Cai TY, Wu SS, Guo ZM. [Long-term follow-up of C(1)-C(2) pedicle screw fixation for pediatric atlantoaxial dislocation]. Zhonghua Yi Xue Za Zhi 2018; 98:422-426. [PMID: 29429252 DOI: 10.3760/cma.j.issn.0376-2491.2018.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the clinical curative effect of C(1)-C(2) pedicle screw fixation for pediatric atlantoaxial dislocation after a long-term follow-up. Methods: From March 2005 to April 2011, a total of 12 male and 9 female patients were included, with age from 3 to 9 years old (mean, 6.1 years old). Among them, 14 cases (67%) had typeⅠinstability atlantoaxial dislocation, 7 cases (33%) had type Ⅱ reducible atlantoaxial dislocation. All 21 pediatric patients with atlantoaxial dislocation underwent posterior pedicle screw fixations. Frankel Grade was used to evaluate function before and after treatment. Furthermore, the information of C(1)-C(2) bony fusion, cervical spine alignment, angle of sagittal curvature, and instability of the subaxial spine were collected from all patients preoperatively, immediately postoperatively and during follow-up period. Results: All 21 patients had regular follow-up with an average duration of 96.4 months (range, 65 to 127 months). All children had good bony fusion within 6 months after treatment. There were 9 patients with lordotic alignment and 12 patients with straight alignment before surgery. After surgery, there were 12 patients with lordotic alignment and 9 patients with straight alignment. At the time of the last follow-up, 17 patients had lordotic alignment and 4 patients had straight alignment. No difference was found between pre- and post-operation (P=0.354). The same result was found between post-operation and last follow-up (P=0.095). Neither kyphotic nor swan-neck deformity was found in any of the 21 patients. The mean angle of sagittal curvature decreased from 31.7°±4.3°preoperatively to 15.5°±2.5°postoperatively (P<0.001). The mean angle of sagittal curvature increased from 15.5°±2.5°postoperatively to 19.1°±2.7°at the final follow-up (P=0.343). No spinal deformities or subaxial instabilities were found. Of the four patients with preoperative neurological defects, Frankel Grade was significantly improved at 3 months follow-up compared with pretreatment values. None of the patients experienced worsening neurological symptoms or injury to the vertebral artery. Conclusion: The results demonstrate that C(1)-C(2) pedicle screw fixation could achieve satisfactory clinical effects for the management of pediatric atlantoaxial dislocation with long-term follow-up.
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Affiliation(s)
- B Lin
- Department of Orthopedics, the 175th Hospital of PLA, the Affiliated Southeast Hospital of Xiamen University, Zhangzhou 363000, China
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Wu SS, Yang P, Wang QY, Zhang HY, Chu YH, Li HJ, Hua WY, Tang YQ, Li C. [Human exposure to live poultry among residents during the second wave of avian influenza A (H7N9) epidemic in Beijing, 2013-2014]. Zhonghua Liu Xing Bing Xue Za Zhi 2017; 38:1484-1488. [PMID: 29141334 DOI: 10.3760/cma.j.issn.0254-6450.2017.11.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate human exposure to live poultry (poultry feeding and purchasing) in the residents in Beijing and related factors during the second wave of avian influenza A(H7N9) epidemic during 2013-2014, and provide scientific evidence for avian influenza prevention and control. Methods: A total of 7 366 adults aged ≥18 years were selected through multi-stage stratified sampling in Beijing for a questionnaire survey. Logistic regression model was used to analyze the influence factors of human exposure to live poultry. Results: The live poultry feeding rate and live poultry purchasing rate in residents in Beijing in the past year were 5.3% (95%CI: 4.8%-5.8%) and 6.0% (95%CI: 5.5%-6.5%) respectively. Logistic regression analysis indicated that lower educational level of primary school and below, (OR=1.82, 95%CI: 1.22-2.72); being farmer (OR=2.49, 95%CI:1.89-3.29) or being unemployed (OR=1.65, 95%CI: 1.08-2.52); being non local resident (OR=1.54, 95%CI: 1.10-2.16); living in suburban area (OR=2.36, 95%CI: 1.77-3.16); having one child (OR=1.76, 95%CI: 1.42-2.17) or ≥2 children (OR=2.15, 95%CI: 1.43-3.22) in the family were the risk factors associated with feeding poultry compared with higher educational level of college and above, being employed, being local resident, living in urban area and having no child. And being farmer (OR=1.61, 95%CI: 1.27-2.02); being non local resident (OR=1.76, 95%CI: 1.31-2.35); living in suburban area (OR=2.05, 95%CI: 1.61-2.61); having one child (OR=1.24, 95%CI: 1.02-1.52) or ≥2 children (OR=1.78, 95%CI: 1.21-2.63) were the risk factors for purchasing live poultry. Conclusion: Some residents living in Beijing still have exposure to live poultry, and targeted measures should be taken to reduce the exposure to poultry.
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Affiliation(s)
- S S Wu
- Institute for Infectious Disease and Endemic Disease Control, Beijing Research Center for Preventive Medicine, Beijing Municipal Center for Disease Control and Prevention, Beijing 100013, China
| | - P Yang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Research Center for Preventive Medicine, Beijing Municipal Center for Disease Control and Prevention, Beijing 100013, China
| | - Q Y Wang
- Institute for Infectious Disease and Endemic Disease Control, Beijing Research Center for Preventive Medicine, Beijing Municipal Center for Disease Control and Prevention, Beijing 100013, China
| | - H Y Zhang
- Department of Epidemiology, Dongcheng District Center for Disease Control and Prevention, Beijing 100009, China
| | - Y H Chu
- Department of Epidemiology, Xicheng District Center for Disease Control and Prevention, Beijing 100120, China
| | - H J Li
- Department of Epidemiology, Tongzhou District Center for Disease Control and Prevention, Beijing 101100, China
| | - W Y Hua
- Department of Epidemiology, Haidian District Center for Disease Control and Prevention, Beijing 100094, China
| | - Y Q Tang
- Department of Epidemiology, Changping District Center for Disease Control and Prevention, Beijing 102200, China
| | - C Li
- Department of Epidemiology, Huairou District Center for Disease Control and Prevention, Beijing 110227, China
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Zhang HF, Wen X, Wu SS, Ren GP. [Epithelial-predominant adult Wilms' tumor: report of 2 cases]. Zhonghua Bing Li Xue Za Zhi 2017; 46:799-800. [PMID: 29136698 DOI: 10.3760/cma.j.issn.0529-5807.2017.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
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Shi WX, Wu SS, Gong C, Li AH, Huang F. [The epidemiological characteristics and drug resistance of mycoplasma pneumoniae in patients with community-acquired pneumonia during 2011-2015 in 5 sentinel hospitals in Beijing]. Zhonghua Yu Fang Yi Xue Za Zhi 2017; 51:832-836. [PMID: 28881550 DOI: 10.3760/cma.j.issn.0253-9624.2017.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the prevalence and drug resistance of mycoplasma pneumoniae in patients with community-acquired pneumonia during 2011-2015 in Beijing. Methods: Totally 2 272 mycoplasma pneumoniae samples were collected from patients with community-acquired pneumonia in 5 sentinel hospitals during 2011-2015. Mycoplasma pneumoniae were detected by real-time PCR. 142 copies of positive samples with Ct value under 30 were cultured to get the strains so that the genotypes based on the P1 gene sequence and the drug resistance based on the in vitro drug resistance test could be conducted. χ(2) test was used to compare the detection rates of mycoplasma pneumoniae among different age groups and different onset-phase. Results: The positive rate of mycoplasma pneumoniae was 13.6%(308 cases). The positive rate in groups aging (5-14), (15-24) and ≥60 years old were separately 24.4% (67/275), 24.4% (38/156) and 3.9% (28/727) (χ(2)=1.22, P<0.001). The annual detection rate of mycoplasma pneumoniae in 2011-2015 were 14.6% (73/501), 10.2% (36/353), 26.4% (101/383), 10.3% (41/398), 9.0% (57/637),respectively (χ(2)=72.65, P<0.001). Seasonally, the peak of positive rate was between October and December (17.5%, 122/699) and the lowest positive rate was between April and June (8.6%, 43/502). 36 strains were isolated from 142 swabs and 23 (63.9%) were P1-Ⅰ and 13 (36.1%) were P1-Ⅱ by genotyping. All isolates were susceptible to the fluoroquinolones (levofloxacin, ciprofloxacin, and gatifloxacin) and tetracycline. All P1-Ⅱ strains were susceptible to macrolides while most of the P1-Ⅰ strains (22 strains) were macrolide-resistant. Conclusion: People aging (5-14) and (15-24) years old were more susceptible to mycoplasma pneumoniae in patients with community-acquired pneumonia in Beijing between 2011 and 2015. The highest positive rate of mycoplasma pneumoniae was in 2013 and the case distributed in all seasons. The major popular genotype was P1-Ⅰ, whose strains were mostly macrolide-resistant.
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Affiliation(s)
- W X Shi
- Beijing Centers For Disease Control & Prevention, Beijing Research Center for Preventive Medicine, Beijing 100013, China
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Li XS, Fang K, Zhang M, Du GP, Wu SS, Song Y, Xu YY, Yan WJ, Ge Y, Ji Y, Wei PM. [Influence of growing experience on non-heterosexual orientation among male college students in Nanjing]. Zhonghua Yu Fang Yi Xue Za Zhi 2017; 51:598-603. [PMID: 28693083 DOI: 10.3760/cma.j.issn.0253-9624.2017.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Objective: To analyze the influence of growing experience on non-heterosexual orientation among male college students. Methods: From October to November in 2015, a total of 2 535 male students from 96 classes in 14 colleges/departments were recruited from two colleges that participated in the experimental work of AIDS prevention by cluster random sampling method. A structured questionnaire was administered in this study, including general demographic information, growing experience and Kinsey scale (to evaluate sexual orientation). Out of 2 500 questionnaires distributed in this study, 2 332 effective copies were withdrew, with the effective rate at 93.3%. Chi square test was used to analyze the differences of non-heterosexual orientation among the individuals with different social demographic characteristics. Multivariate logistic regression model was used to analyze the influencing factors of non-heterosexual orientation. Results: Among the 2 332 individuals, the proportion of self-reported non-heterosexual was 6.2% (144).The proportions of male students who identify as non-heterosexual from freshman to junior year were 5.2%(63/1216),6.9%(65/941),11.7%(13/111) and 4.7%(3/64), respectively (χ(2)=9.06,P=0.029). Compared with the individuals of very good relationship with parents, those with bad relationship (OR=3.3, 95%CI: 1.7-6.5) and general relationship (OR=1.7, 95%CI: 1.0-2.9) with parents had a higher risk of non-heterosexual orientation, respectively. Those encountered sexual assault had a higher risk of non-heterosexual orientation than those without encountered sexual assault (OR=5.9, 95%CI: 3.2-10.9). Conclusions: This study reported a high proportion of self-reported non-heterosexual among college male students in Nanjing, and highlighted the importance of targeting students with poor parental relationships and who subjected to sexually abused.
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Affiliation(s)
| | - K Fang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing 210009, China
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Zhu ZP, Zhang M, Xu YY, Xu WJ, Liu L, Wu SS, Guo L, Li X. [Cross-sectional surveys on the use of recreational drug nitrous-acid-ester rush-poppers in men who have sex with men, Nanjing]. Zhonghua Liu Xing Bing Xue Za Zhi 2017; 38:189-193. [PMID: 28231664 DOI: 10.3760/cma.j.issn.0254-6450.2017.02.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the situation of recreational drug nitrous acid ester inhaler-rush poppers use in men who have sex with men (MSM). Methods: From April to June in 2014, October to December in 2014, April to June in 2015, three round cross-sectional surveys were conducted in MSM recruited in Nanjing by means of serum test and questionnaire survey. Results: Of the 1 721 MSM surveyed in three round, 19.3% (332/1 721) had ever used rush poppers, the proportions of MSM who used rush poppers in three round surveys showed an increasing trend (liner by liner χ(2)= 14.879, P=0.000), which was 12.6% (86/681), 27.6% (121/439) and 20.8% (125/601) respectively. Rush poppers use was associated with HIV infection significantly (OR=1.676, 95%CI: 1.201-2.339, P=0.002). Compared with MSM without rush poppers use, the MSM with rush poppers use were mainly aged <30 years, unmarried, received college and higher education, had lived in Nanjing for less than 2 years, seek sex partners through internet and identified themselves as homosexual orientation. Multivariate logistic analysis showed that less than 30 years old, living in Nanjing for less than 2 years, with college and higher education level, more than 2 sex partners in the past 6 months, being diagnosed with STDs in the previous one year and using traditional drugs were the risk factors associated with rush poppers use. Conclusion: Rush poppers use was related with HIV infection in MSM in Nanjing.
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Affiliation(s)
- Z P Zhu
- Department of AIDS and STDs Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - M Zhang
- Department of AIDS and STDs Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - Y Y Xu
- Department of AIDS and STDs Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - W J Xu
- Department of Microbiological Examination, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - L Liu
- Department of AIDS and STDs Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - S S Wu
- Department of AIDS and STDs Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - L Guo
- Department of AIDS and STDs Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - X Li
- Department of AIDS and STDs Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
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Yu JN, Wu SS, He CH, Zhang CY, Mu HX, Ma WS, Liu B, Zhang Y, Yu SF. [Association between CDH23 gene polymorphisms and susceptibility to noise-induced hearing loss in the Chinese population: a meta-analysis]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2016; 34:920-923. [PMID: 28241681 DOI: 10.3760/cma.j.issn.1001-9391.2016.12.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the association between cadherin-23 (CDH23) gene polymorphisms and susceptibility to noise-induced hearing loss (NIHL) in the Chinese population through a meta-analysis. Methods: In June 2016, CNKI, VIP, Wanfang Data, and PubMed were searched for studies on the association between CDH23 gene polymorphisms and susceptibility to NIHL in the Chinese population. The articles were screened according to inclusion and exclusion criteria and related data were extracted. RevMan 5.3 was used for the meta-analysis. Results: A total of three Chinese articles were included. For CDH23-rs1227049, the risk of NIHL in people with C allele was 0.82 times (95%CI 0.39-1.73) that in people with G allele, the risk of NIHL in people with CG+CC genotype in the dominant model was 0.70 times (95%CI 0.34-1.43) that in people with GG genotype, the risk of NIHL in people with CC genotype in the recessive model was 1.23 times (95%CI 0.28-5.43) that in people with CG+GG genotype, and the risk of NIHL in people with CC genotype in the additive model was 1.05 times (95%CI 0.20-5.44) that in people with GG genotype (all P>0.05) . For CDH23-rs1227051, the risk of NIHL in people with T allele was 0.98 times (95%CI 0.71-1.37) that in people with C allele, and the risk of NIHL in people with CT+CC genotype in the dominant model was 1.09 times (95%CI 0.75-1.57) that in patients with TT genotype (both P>0.05) . Conclusion: There is still no enough evidence for the determination of CDH23-rs1227049 and CDH23-rs1227051 to be the susceptibility gene loci of NIHL.
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Affiliation(s)
- J N Yu
- SINOPEC Research Institute of Safety Engineering, Qingdao 266071, China
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Li H, Ji H, Wu SS, Hou BX. [Analysis of virulence factors of Porphyromonas endodontalis based on comparative proteomics technique]. Zhonghua Kou Qiang Yi Xue Za Zhi 2016; 51:746-752. [PMID: 27978916 DOI: 10.3760/cma.j.issn.1002-0098.2016.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the protein expression profile and the potential virulence factors of Porphyromonas endodontalis (Pe) via comparison with that of two strains of Porphyromonas gingivalis (Pg) with high and low virulences, respectively. Methods: Whole cell comparative proteomics of Pe ATCC35406 was examined and compared with that of high virulent strain Pg W83 andlow virulent strain Pg ATCC33277, respectively. Isobaric tags for relative and absolute quantitation (iTRAQ) combined with nano liquid chromatography-tandem mass spectrometry (Nano-LC-MS/MS) were adopted to identify and quantitate the proteins of Pe and two strains of Pg with various virulences by using the methods of isotopically labeled peptides, mass spectrometric detection and bioinformatics analysis. The biological functions of similar proteins expressed by Pe ATCC35406 and two strains of Pg were quantified and analyzed. Results: Totally 1 210 proteins were identified while Pe compared with Pg W83. There were 130 proteins (10.74% of the total proteins) expressed similarly, including 89 known functional proteins and 41 proteins of unknown functions. Totally 1 223 proteins were identified when Pe compared with Pg ATCC33277. There were 110 proteins (8.99% of the total proteins) expressed similarly, including 72 known functional proteins and 38 proteins of unknown functions. The similarly expressed proteins in Pe and Pg strains with various virulences mainly focused on catalytic activity and binding function, including recombination activation gene (RagA), lipoprotein, chaperonin Dnak, Clp family proteins (ClpC and ClpX) and various iron-binding proteins. They were involved in metabolism and cellular processes. In addition, the type and number of similar virulence proteins between Pe and high virulence Pg were higher than those between Pe and low virulence Pg. Conclusions: Lipoprotein, oxygen resistance protein, iron binding protein were probably the potential virulence factors of Pe ATCC35406. It was speculated that pathogenicity of Pe was more similar to high virulence Pg than that to low virulence strain.
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Affiliation(s)
- H Li
- Department of Endodontics, School of Stomatology, Capital Medical University, Beijing 100050, China
| | - H Ji
- Department of Endodontics, School of Stomatology, Capital Medical University, Beijing 100050, China
| | - S S Wu
- Department of Endodontics, School of Stomatology, Capital Medical University, Beijing 100050, China
| | - B X Hou
- Department of Endodontics, School of Stomatology, Capital Medical University, Beijing 100050, China
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Chen R, Wang J, Tang SW, Lyu XZ, Zhang Y, Wu SS, Xia YY, Zhan SY. [Study on polymorphisms of genes with susceptibility to drug induced liver injury in a cohort receiving anti-tuberculosis treatment]. Zhonghua Liu Xing Bing Xue Za Zhi 2016; 37:925-9. [PMID: 27453098 DOI: 10.3760/cma.j.issn.0254-6450.2016.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To investigate the association between the polymorphisms of genes involving in drug metabolism and transport as well as immunological reaction and the risk of anti-tuberculosis drug-induced liver injury(ATLI)in Chinese. METHODS This 1∶4 matched case-control study was conducted by using the data from a cohort study of Anti-tuberculosis Drugs Induced Adverse Reactions in National Tuberculosis Prevention and Control Progtam of China. Genes involving in three phase of drug metabolism and transport as well as related immunological reaction were chosen and single nucleotide polymorphisms(SNPs)were genotyped by TaqMan allele discrimination technology. Lasso regression and multivariate conditional logistic regression analysis were used to select susceptible genes. RESULTS A total of 33 genes with 75 SNPs were tested. The combined results of Lasso and regression logistic regression analysis showed that genetic polymorphism of SLCO1B1 rs4149014, HSPA1L rs2227956, STAT3 rs1053023 and IL-6 rs2066992 were significantly associated with the risk of ATLI(P<0.05). CONCLUSION SLCO1B1, HSPA1L, STAT3 and IL-6 might be the susceptibility genes of drug induced liver injury in patients receiving anti-tuberculosis treatment.
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Affiliation(s)
- R Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - J Wang
- Department of Paediatrics, The University of Melbourne, and Murdoch Children Research Institute, Melbourne 3010, Australia
| | - S W Tang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - X Z Lyu
- Clinical Research Division, Peking University Institute of Mental Health, Beijing 100191, China
| | - Y Zhang
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton L8S4K1, Canada
| | - S S Wu
- Beijing Friendship Hospital, Capital Medical University, and National Clinical Research Center of Digestive Diseases, Beijing 100050, China
| | - Y Y Xia
- Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - S Y Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
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Zhang Y, Wu SS, Yang P, Li C, Chu YH, Hua WY, Zhang HY, Tang YQ, Li HJ, Wang QY. Association between socio-economic status indicators and adoption of preventive measures for influenza among Beijing residents: a cross-sectional study. Public Health 2016; 140:282-285. [PMID: 27341778 DOI: 10.1016/j.puhe.2016.05.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 04/20/2016] [Accepted: 05/25/2016] [Indexed: 10/21/2022]
Affiliation(s)
- Y Zhang
- Beijing Centre for Disease Prevention and Control, Beijing, China
| | - S S Wu
- Beijing Centre for Disease Prevention and Control, Beijing, China
| | - P Yang
- Beijing Centre for Disease Prevention and Control, Beijing, China
| | - C Li
- Huairou District Centre for Disease Prevention and Control, Beijing, China
| | - Y H Chu
- Xicheng District Centre for Disease Prevention and Control, Beijing, China
| | - W Y Hua
- Haidian District Centre for Disease Prevention and Control, Beijing, China
| | - H Y Zhang
- Dongcheng District Centre for Disease Prevention and Control, Beijing, China
| | - Y Q Tang
- Changping District Centre for Disease Prevention and Control, Beijing, China
| | - H J Li
- Tongzhou District Centre for Disease Prevention and Control, Beijing, China
| | - Q Y Wang
- Beijing Centre for Disease Prevention and Control, Beijing, China.
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Li ZX, Wu SS, Yang ZR, Zhan SY, Sun F. [Impact of glucagon-like peptide-1 receptor agonists on nasopharyngitis and upper respiratory tract infection among patients with type 2 diabetes: a network meta-analysis]. Beijing Da Xue Xue Bao Yi Xue Ban 2016; 48:454-459. [PMID: 27318907] [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: 06/06/2023]
Abstract
OBJECTIVE To systematically review the effects of glucagon-like peptide-1 receptor agonists (GLP-1RAs) on two common respiratory system adverse events (RSAE: nasopharyngitis and upper respiratory tract infection) among type 2 diabetes (T2DM). METHODS Medline, Embase, Clinical trials and Cochrane library were searched from inception through May 2015 to identify randomized clinical trials(RCTs) assessed safety of GLP-1RAs versus placebo or other anti-diabetic drugs in T2DM. Network meta-analysis within a Bayesian framework was performed to calculate odds ratios for the incidence of RSAE. RESULTS In the study, 50 RCTs were included, including 13 treatments: 7 GLP-1RAs (exenatide, exenatide-long-release-agent, liraglutide, lixisenatide, taspoglutide, albiglutide and dulaglutide), placebo and 5 traditional anti-diabetic drugs(insulin, metformin, sulfonylureas, sitagliptin and thiazolidinediones ketones). Compared with insulin, taspoglutide significantly decreased the incidence of nasopharyngitis (OR=0.67, 95%CI: 0.46-0.96). Significant lowering effects on upper respiratory tract infection were found when taspoglutide versus placebo (OR=0.57, 95%CI: 0.34-0.99) and insulin (OR=0.39, 95%CI: 0.23-0.73). The result from the network meta-analysis based on Bayesian theory could be used to rank all the treatments included, which showed that taspoglutide ranked last with minimum risk on nasopharyngitis and upper respiratory tract infection. CONCLUSION Taspoglutide was associated with significantly lowering effect on RSAE.
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Affiliation(s)
- Z X Li
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - S S Wu
- National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Z R Yang
- Primary Care Unit, University of Cambridge, Cambridge CB21TN, UK
| | - S Y Zhan
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
| | - F Sun
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China
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Zhang FF, Wang MZ, Zheng YX, Liu HY, Zhang XQ, Wu SS. Isolation and characterzation of endophytic Huperzine A-producing fungi from Phlegmariurus phlegmaria. Microbiology (Reading) 2015. [DOI: 10.1134/s0026261715050185] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Chen F, He JL, Zheng M, Zhu HH, Li SP, Wang K, Zhang XX, Zhao YR, Wu SS, Chen Z. Complementary laboratory indices for predicting the disease status of patients with hepatitis B virus infection. J Viral Hepat 2013; 20:566-74. [PMID: 23808995 DOI: 10.1111/jvh.12067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2012] [Accepted: 12/02/2012] [Indexed: 01/05/2023]
Abstract
To identify complementary laboratory indices for determining the disease status of patients with hepatitis B virus. Subjects were divided into six groups: hepatitis B virus carrier, mild chronic hepatitis B, moderate chronic hepatitis B, severe chronic hepatitis B, fulminant hepatitis B and healthy controls. Serum alanine aminotransferase, total bilirubin and direct bilirubin were measured by an automatic analyser. The levels of T-cell immunoglobulin domain and mucin-domain-containing molecule-3, macrophage inflammatory protein 2, neutrophil gelatinase-associated lipocalin and inducible nitric oxide synthase were measured by ELISA. T-cell immunoglobulin domain, mucin-domain-containing molecule-3, macrophage inflammatory protein 2 and inducible nitric oxide synthase levels were significantly higher in patients with severe chronic hepatitis B compared with those in patients with mild and moderate chronic hepatitis B or fulminant hepatitis B (P < 0.05). When normal or abnormal alanine aminotransferase was present, significant differences between macrophage inflammatory protein 2 and T-cell immunoglobulin domain and mucin-domain-containing molecule-3 levels between patients with mild, moderate, severe chronic hepatitis B or fulminant hepatitis B were observed (P < 0.05). Our results suggest that T-cell immunoglobulin domain and mucin-domain-containing molecule-3 and macrophage inflammatory protein 2 could serve as alanine aminotransferase, direct bilirubin or total bilirubin complementary indices for determining the status of patients with hepatitis B.
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Affiliation(s)
- F Chen
- State Key Laboratory of Infectious Disease Diagnosis and Treatment, First Affiliated Hospital, College of Medicine, Zhejiang University, Key Laboratory of Infectious Diseases, Zhejiang, China
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Quan GB, Wu SS, Lan ZG, Yang HY, Shao QY, Hong QH. The effects of 1,4-cyclohexanediol on frozen ram spermatozoa. Cryo Letters 2013; 34:217-227. [PMID: 23812311] [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: 06/02/2023]
Abstract
In order to improve the quality of frozen spermatozoa of Yunnan semi-fine wool sheep, 1, 4-cyclohexanediol (1, 4-CHD) as a synthetic ice blocker was used for cryopreservation of ram spermatozoa in this study. Briefly, following collection by electric stimulation, equilibration at 5℃ following dilution with the freezing extender, and pre-freezing in liquid nitrogen vapor, the ram spermatozoa were preserved in liquid nitrogen for one month. In addition, the effects of osmolarity of the diluting extenders used for evaluation of frozen spermatozoa quality were also assessed. The results indicated addition of 1, 4-CHD could not increase the motility of ram spermatozoa after cryopreservation and thawing. With the elevation of the concentrations of 1, 4-CHD, the motility and moving velocity of frozen ram spermatozoa showed a steady decrease. Additionally, the presence of 1, 4-CHD cannot increase the percentage of frozen spermatozoa with intact acrosome and membrane. When the isotonic binding buffer was used to dilute the thawed spermatozoa, the percentage of cells labeled with propidium iodide (PI) after cryopreservation in the presence of 1, 4-CHD was significantly higher than that of spermatozoa frozen in the absence of 1, 4-CHD (P < 0.05). However, the percentage of frozen-thawed spermatozoa with exposed PS in the presence of 1, 4-CHD was significantly less than that of spermatozoa frozen in the absence of 1, 4-CHD (P < 0.01). When the basic extenders with an osmolarity of 404mOsm, 528mOsm, 648mOsm, or 853mOsm were used to dilute the frozen-thawed spermatozoa respectively, there is no significant difference between the four groups with respect to the moving velocity and membrane integrity (P > 0.05). In conclusion, the presence of 1, 4-CHD cannot improve the motility, moving velocity, acrosome staus, and membrane integrity of frozen ram spermatozoa. However, 1, 4-CHD may inhibit apoptosis caused by freezing and thawing.
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Affiliation(s)
- G B Quan
- Yunnan Animal Science and Veterinary Institute, Qinglongshan, Jindian, China
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Peng GM, Wu SQ, Fang ZL, Zhang WG, Bin Zhang Z, Fan J, Zheng SR, Wu SS, Ng SC. Preparation and Chiral Separation of a Novel Immobilized Cellulose-Based Chiral Stationary Phase in High-Performance Liquid Chromatography. J Chromatogr Sci 2012; 50:516-22. [DOI: 10.1093/chromsci/bms047] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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