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Jiang YQ, Hu ZB, Du JB, Lin Y, Ma HX, Jin GF, Li R, Yan JH, Liu ZW, Lin G, Zhou CQ, Xia YK, Shen HB. [Baseline characteristics of the participants of China National Birth Cohort]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:579-585. [PMID: 34814433 DOI: 10.3760/cma.j.cn112338-20201231-01455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To explore the effects of environmental, genetic factors as well as the interactions in early life on the short-term and long-term health of offspring and to systematically evaluate the pregnancy outcomes and health of offspring after birth between families with assisted reproductive technology (ART) conception and families with spontaneous conception. Methods: The China National Birth Cohort (CNBC), a multicenter prospective birth cohort study, includes both families with ART conception and families with spontaneous conception. Since 2016, CNBC has recruited families from 24 hospitals located in 12 provinces, municipalities and autonomous regions throughout China. Information and biospecimens were collected before ART treatment, embryo transfer, at early, second, third trimester and delivery, and at 42 days, 6, 12 and 36 months after birth. Results: By June 2020, CNBC had included 27 044 families with ART conception and 29 589 families with spontaneous conception. The majority of the participants are urban residents. Among the families with ART conception, 65.5% of the men and 63.7% of the women had college degrees or higher. The mean age distribution of men and women was (33.83±5.52) and (32.38±4.67) years. 83.2% of women were primiparas, and the prevalence rates of current regular smokers and current alcohol drinkers were 0.8% and 2.1% in women. Among the families with spontaneous conception, 81.5% of the men and 86.5% of the women had college degrees or higher. The mean age distribution of men and women was (32.06±5.09) and (30.40±4.27) years. 67.2% of women were primiparas, and the prevalence rates of current regular smokers and current alcohol drinkers were 0.1% and 2.2% in women. The baseline characteristics were different between the families with ART conception and spontaneous conception in different regions. Conclusion: CNBC provides a powerful and rich resource in studying the impact of genetic, environmental factors and interactions in early life and ART treatment on the health of offspring after birth.
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Affiliation(s)
- Y Q Jiang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Z B Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - J B Du
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Lin
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H X Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - G F Jin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - R Li
- Department of Obstetrics and Gynecology, Reproductive Medical Center, Peking University Third Hospital, Beijing 100191, China
| | - J H Yan
- Center for Reproductive Medicine, Shandong University, Ji'nan 250021, China
| | - Z W Liu
- Departments of Neonatology, International Peace Maternity and Children Hospital of China Welfare Institution, School of Medicine, Shanghai Jiaotong University, Shanghai 200030, China
| | - G Lin
- Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410000, China
| | - C Q Zhou
- Reproductive Medicine Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Y K Xia
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H B Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
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Hu ZB, Du JB, Xu X, Lin Y, Ma HX, Jin GF, Li R, Yan JH, Liu ZW, Lin G, Zhou CQ, Xia YK, Shen HB. [Profile of China National Birth Cohort]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:569-574. [PMID: 34814431 DOI: 10.3760/cma.j.cn112338-20201211-01402] [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
With the rapid changes in lifestyle, natural and social environment, the reproductive health status of couples in childbearing age continues to decline, and long-term outcomes of the rapidly increasing offspring conceived by assisted reproductive technology (ART) needs to be evaluated urgently. Therefore, the focus of research now needs to be extended from death and severe diseases to full life cycle and full disease spectrum. In order to meet the demand for such research, we launched the China National Birth Cohort (CNBC) study, an ongoing prospective and longitudinal study aiming to recruit 30 000 families underwent ART and 30 000 families with spontaneous pregnancies. Long-term follow-up programs will be conducted for both spouses and their offspring. Data of couples and their offspring, such as environmental exposure, reproductive history, psychological and behavioral status, will be collected during follow-up. Peripheral blood, urine, umbilical blood, follicular fluid, semen were also collected at different follow-up nodes. Based on high-quality data and biological samples, CNBC will play an extremely important supporting role and have a far-reaching impact on maternal and children's health care and reproductive health in China. This paper is exactly a brief introduction to the construction and basic design of CNBC.
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Affiliation(s)
- Z B Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - J B Du
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - X Xu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Lin
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H X Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - G F Jin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - R Li
- Department of Obstetrics and Gynecology, Reproductive Medical Center, Peking University Third Hospital, Beijing 100191, China
| | - J H Yan
- Center for Reproductive Medicine, Shandong University, Ji'nan 250021, China
| | - Z W Liu
- Departments of Neonatology, International Peace Maternity and Children Hospital of China Welfare Institution, School of Medicine, Shanghai Jiaotong University, Shanghai 200030, China
| | - G Lin
- Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha 410000, China
| | - C Q Zhou
- Reproductive Medicine Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
| | - Y K Xia
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H B Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
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3
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Du JB, Tao SY, Lin Y, Zhao Y, Lyu G, Xia YK, Lu CC, Wu W, Ma HX, Jin GF, Hu ZB, Shen HB. [Application of cloud-based information platform in China National Birth Cohort]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:586-590. [PMID: 34814434 DOI: 10.3760/cma.j.cn112338-20201211-01404] [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
Birth cohort is an important observational study which can continuously and dynamically collect the exposure changes and health outcomes from gametophyte development to adolescence and even old age. However, because of its complex design and difficult implementation, how to construct birth cohort with high quality and high efficiency is the main difficulty faced by epidemiologists at home and abroad. In 2016, China National Birth Cohort was officially launched. The network and information technology were used to explore, and a set of "cloud-based information platform" was established to support this queue construction, containing 16 units in China. After four years of development, the platform has formed a complete set of programs about the construction of cohort information platform, which including recruitment and follow-up management of participants, real-time data interaction, queue quality control, multi-level authority management and function division. The relevant design framework and functional elements provide the references to the future information construction of large-scale birth cohort and even population-based research in China.
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Affiliation(s)
- J B Du
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - S Y Tao
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Lin
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - G Lyu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y K Xia
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - C C Lu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - W Wu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H X Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - G F Jin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Z B Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - H B Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
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4
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Xia YK, Jiang T, Liu C, Du JB, Lin Y, Jiang YQ, Zhao Y, Zhou K, Liu XY, Jin GF, Ma HX, Hu ZB, Shen HB. [Quality control and measures of China National Birth Cohort]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:575-578. [PMID: 34814432 DOI: 10.3760/cma.j.cn112338-20201211-01403] [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
Birth cohort is an effective method to explore the relationship between various prepregnant and pregnant exposures and the health of fetuses, infants and young children. It is a long construction period to build a birth cohort and the quality of research may be affected by many factors. This paper reviews the quality assurance and quality control measures in the process of China National Birth Cohort (CNBC), and summarizes the construction experience. We aim to provide experience for related cohort studies, which could improve the quality of cohort studies through removing the impact of related factors. CNBC adopted a series of measures to ensure the quality of research in the top-level design of quality assurance, including screening research center, developing member management system, formulating standard operating procedures and training staff by it. In terms of quality control, it includes real-time, timely and timing quality control for the process of data generation, full-cycle quality control for biological sample collection, processing, storage and comprehensive three-dimensional quality control for staff training, supervision and quantitative assessment.
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Affiliation(s)
- Y K Xia
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - T Jiang
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - C Liu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - J B Du
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Lin
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Q Jiang
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - K Zhou
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - X Y Liu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - G F Jin
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H X Ma
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Z B Hu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H B Shen
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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5
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Xia YK, Zeng YR, Zhang ML, Liu P, Liu F, Zhang H, He CX, Sun YP, Zhang JY, Zhang C, Song L, Ding C, Tang YJ, Yang Z, Yang C, Wang P, Guan KL, Xiong Y, Ye D. Tumor-derived neomorphic mutations in ASXL1 impairs the BAP1-ASXL1-FOXK1/K2 transcription network. Protein Cell 2020; 12:557-577. [PMID: 32683582 PMCID: PMC8225741 DOI: 10.1007/s13238-020-00754-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 06/17/2020] [Indexed: 12/27/2022] Open
Abstract
Additional sex combs-like 1 (ASXL1) interacts with BRCA1-associated protein 1 (BAP1) deubiquitinase to oppose the polycomb repressive complex 1 (PRC1)-mediated histone H2A ubiquitylation. Germline BAP1 mutations are found in a spectrum of human malignancies, while ASXL1 mutations recurrently occur in myeloid neoplasm and are associated with poor prognosis. Nearly all ASXL1 mutations are heterozygous frameshift or nonsense mutations in the middle or to a less extent the C-terminal region, resulting in the production of C-terminally truncated mutant ASXL1 proteins. How ASXL1 regulates specific target genes and how the C-terminal truncation of ASXL1 promotes leukemogenesis are unclear. Here, we report that ASXL1 interacts with forkhead transcription factors FOXK1 and FOXK2 to regulate a subset of FOXK1/K2 target genes. We show that the C-terminally truncated mutant ASXL1 proteins are expressed at much higher levels than the wild-type protein in ASXL1 heterozygous leukemia cells, and lose the ability to interact with FOXK1/K2. Specific deletion of the mutant allele eliminates the expression of C-terminally truncated ASXL1 and increases the association of wild-type ASXL1 with BAP1, thereby restoring the expression of BAP1-ASXL1-FOXK1/K2 target genes, particularly those involved in glucose metabolism, oxygen sensing, and JAK-STAT3 signaling pathways. In addition to FOXK1/K2, we also identify other DNA-binding transcription regulators including transcription factors (TFs) which interact with wild-type ASXL1, but not C-terminally truncated mutant. Our results suggest that ASXL1 mutations result in neomorphic alleles that contribute to leukemogenesis at least in part through dominantly inhibiting the wild-type ASXL1 from interacting with BAP1 and thereby impairing the function of ASXL1-BAP1-TF in regulating target genes and leukemia cell growth.
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Affiliation(s)
- Yu-Kun Xia
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China.,The International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai, 200032, China
| | - Yi-Rong Zeng
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China.,The International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai, 200032, China
| | - Meng-Li Zhang
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China.,The International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai, 200032, China.,Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200032, China
| | - Peng Liu
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China.,The International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai, 200032, China
| | - Fang Liu
- Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Hao Zhang
- Key Laboratory of Synthetic Biology, Institute of Plant Physiology and Ecology, Shanghai, 200032, China.,Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Chen-Xi He
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China
| | - Yi-Ping Sun
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China.,The International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai, 200032, China
| | - Jin-Ye Zhang
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China.,The International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai, 200032, China
| | - Cheng Zhang
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China.,The International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai, 200032, China
| | - Lei Song
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing, 102206, China.,National Center for Protein Sciences (The PHOENIX Center, Beijing), Beijing, 102206, China
| | - Chen Ding
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Yu-Jie Tang
- Key Laboratory of Cell Differentiation and Apoptosis of National Ministry of Education, Department of Pathophysiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhen Yang
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China
| | - Chen Yang
- Key Laboratory of Synthetic Biology, Institute of Plant Physiology and Ecology, Shanghai, 200032, China.,Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Pu Wang
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China.,The International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai, 200032, China
| | - Kun-Liang Guan
- Department of Pharmacology and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Yue Xiong
- Lineberger Comprehensive Cancer Center, Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, NC, USA
| | - Dan Ye
- Huashan Hospital, Fudan University, and Molecular and Cell Biology Lab, Institutes of Biomedical Sciences, and the Shanghai Key Laboratory of Medical Epigenetics, and the Key Laboratory of Metabolism and Molecular, Ministry of Education, Shanghai, 200032, China. .,The International Co-Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai, 200032, China. .,Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, 200032, China.
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6
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Liu Y, Jin GF, Wang JM, Xia YK, Shen HB, Wang CQ, Hu ZB. [Thoughts on the reform of preventive medicine education in the context of new medicine]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:593-596. [PMID: 32253890 DOI: 10.3760/cma.j.cn112150-20200328-00461] [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
Talent training is the core and foundation of public health system construction. Shortage of talents in the field of disease prevention and public health exposed by COVID-19 pandemic highlights the importance of developing preventive medical education. This article analyzes the challenges of medical education in the dilemma of "separation of medical treatment and prevention", and the new requirements for preventive medical education in the construction of New Medicine under the Healthy China strategy. Four aspects including stepping up the resource allocation and investment, educating responsible public health professionals, the education of all medical students who implement the core competence of public health, and the establishment of a continuing education system for preventive medicine have been considered. A series of specific suggestions are put forward including the establishment of a full-chain closed-loop research system to support the cultivation of top-notch innovative public health talents, strengthening the assessment of core public health capabilities for clinical medical professional admission, formulating a "medical and preventive integration" training program for primary health personnel, and implementing "combination of peace and war" public health personnel reserve system, with the purpose of providing reference for the reform and development of preventive medical education in China.
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Affiliation(s)
- Y Liu
- Medical Education Institution, Nanjing Medical University, Nanjing 211166, China
| | - G F Jin
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - J M Wang
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y K Xia
- School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H B Shen
- Nanjing Medical University, Nanjing 211166, China
| | - C Q Wang
- Nanjing Medical University, Nanjing 211166, China
| | - Z B Hu
- Nanjing Medical University, Nanjing 211166, China
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7
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Chen LL, Lin HP, Zhou WJ, He CX, Zhang ZY, Cheng ZL, Song JB, Liu P, Chen XY, Xia YK, Chen XF, Sun RQ, Zhang JY, Sun YP, Song L, Liu BJ, Du RK, Ding C, Lan F, Huang SL, Zhou F, Liu S, Xiong Y, Ye D, Guan KL. SNIP1 Recruits TET2 to Regulate c-MYC Target Genes and Cellular DNA Damage Response. Cell Rep 2019; 25:1485-1500.e4. [PMID: 30404004 PMCID: PMC6317994 DOI: 10.1016/j.celrep.2018.10.028] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2018] [Revised: 09/21/2018] [Accepted: 10/04/2018] [Indexed: 12/17/2022] Open
Abstract
The TET2 DNA dioxygenase regulates gene expression by catalyzing demethylation of 5-methylcytosine, thus epigenetically modulating the genome. TET2 does not contain a sequence-specific DNA-binding domain, and how it is recruited to specific genomic sites is not fully understood. Here we carried out a mammalian two-hybrid screen and identified multiple transcriptional regulators potentially interacting with TET2. The SMAD nuclear interacting protein 1 (SNIP1) physically interacts with TET2 and bridges TET2 to bind several transcription factors, including c-MYC. SNIP1 recruits TET2 to the promoters of c-MYC target genes, including those involved in DNA damage response and cell viability. TET2 protects cells from DNA damage-induced apoptosis dependending on SNIP1. Our observations uncover a mechanism for targeting TET2 to specific promoters through a ternary interaction with a co-activator and many sequence-specific DNA-binding factors. This study also reveals a TET2-SNIP1-c-MYC pathway in mediating DNA damage response, thereby connecting epigenetic control to maintenance of genome stability. Chen et al. show SNIP1 recruits TET2 to the promoters of c-MYC target genes, including those involved in DNA damage response and cell viability. This study uncovers a mechanism for targeting TET2 to specific promoters through a ternary interaction with a co-activator and sequence-specific DNA-binding factors and also reveals a TET2-SNIP1-c-MYC pathway in mediating DNA damage response, thereby connecting epigenetic control to maintenance of genome stability.
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Affiliation(s)
- Lei-Lei Chen
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Huai-Peng Lin
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; Medical College of Xiamen University, Xiamen 361102, China
| | - Wen-Jie Zhou
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Chen-Xi He
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Zhi-Yong Zhang
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Zhou-Li Cheng
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Jun-Bin Song
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Peng Liu
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xin-Yu Chen
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yu-Kun Xia
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Xiu-Fei Chen
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Ren-Qiang Sun
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Jing-Ye Zhang
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yi-Ping Sun
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Lei Song
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, National Center for National Center for Protein Science (The PHOENIX Center), Beijing, China
| | - Bing-Jie Liu
- Fudan University Shanghai Cancer Center, Key Laboratory of Breast Cancer in Shanghai, Innovation Center for Cell Signaling Network, Cancer Institutes, Fudan University, Shanghai, China
| | - Rui-Kai Du
- Fudan University Shanghai Cancer Center, Key Laboratory of Breast Cancer in Shanghai, Innovation Center for Cell Signaling Network, Cancer Institutes, Fudan University, Shanghai, China
| | - Chen Ding
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, National Center for National Center for Protein Science (The PHOENIX Center), Beijing, China
| | - Fei Lan
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Sheng-Lin Huang
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Feng Zhou
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Suling Liu
- Fudan University Shanghai Cancer Center, Key Laboratory of Breast Cancer in Shanghai, Innovation Center for Cell Signaling Network, Cancer Institutes, Fudan University, Shanghai, China
| | - Yue Xiong
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Biochemistry and Biophysics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
| | - Dan Ye
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of General Surgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
| | - Kun-Liang Guan
- Huashan Hospital and Key Laboratory of Medical Epigenetics and Metabolism and Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; Department of Pharmacology and Moores Cancer Center, University of California, San Diego, La Jolla, CA 92093, USA.
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Yang J, Chen MJ, Wang XX, Sun X, Wang X, Wang XR, Xia YK. [Association between maternal tea consumption in pregnancy and birth outcomes]. Zhonghua Yu Fang Yi Xue Za Zhi 2019; 52:1013-1017. [PMID: 30392319 DOI: 10.3760/cma.j.issn.0253-9624.2018.10.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [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 purpose of this study was to explore the relationship between maternal tea consumption and birth outcomes. Methods: From January 2005 to December 2010, pregnant women were recruited from Nanjing Maternity and Child Health Hospital. The basic information and the situation of tea consumption during pregnancy were investigated using questionnaire and the birth outcomes of newborns were followed up. Finally, 500 pairs of mothers and infants with complete and standard-compliant data were included in the analysis. The differences of birth outcomes between the tea consumption group and the non tea consumption group were compared and the associations between tea consumption and birth outcomes were analyzed using multivariate logistic regression. Results: Mother's tea consumption rate was 32.8% (164 cases) during pregnancy. The rate of low birth weight in the tea consumption group was (5.5%, 9 cases) and higher than that in the non-tea consumption group (2.1%, 7 cases) (P=0.042). There was no significant difference in the rate of premature birth, small for gestational age, fetal distress, and macrosomia between the two groups After the adjustment of maternal age, education level, family income, weight gain during pregnancy, pre-pregnancy BMI, parity, gestational hypertension, gestational diabetes, neonatal gender and gestational age, compared with non-tea consumption group, there was a positive effect on low birth weight, OR(95%CI) was 4.76 (1.06-21.48). The OR (95%CI) value of the low birth weight risk of the tea group was 5.30 (1.04-26.92) compared with the non-tea consumption group after the adjustment of additional factors such as passive smoking, coffee consumption, folic acid supplement, mineral supplement, carbonated beverage consumption. Simultaneously, compared with non-tea consumption group, there was no statistically significant association between tea consumption during pregnancy and premature birth, small for gestational age, fetal distress and macrosomia (P>0.05). Conclusion: Tea consumption during pregnancy was a risk factor for low birth weight in offspring.
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Affiliation(s)
- J Yang
- Institute of Toxicology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Xu H, Xia YK, Li CJ, Zhang JY, Liu Y, Yi W, Qin ZY, Chen L, Shi ZF, Quan K, Yang ZX, Guan KL, Xiong Y, Ng HK, Ye D, Hua W, Mao Y. Rapid diagnosis of IDH1-mutated gliomas by 2-HG detection with gas chromatography mass spectrometry. J Transl Med 2019; 99:588-598. [PMID: 30573870 DOI: 10.1038/s41374-018-0163-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Revised: 10/26/2018] [Accepted: 10/31/2018] [Indexed: 12/31/2022] Open
Abstract
The metabolic genes encoding isocitrate dehydrogenase (IDH1, 2) are frequently mutated in gliomas. Mutation of IDH defines a distinct subtype of glioma and predicts therapeutic response. IDH mutation has a remarkable neomorphic activity of converting α-ketoglutarate (α-KG) to 2-hydroxyglutarate (2-HG), which is now commonly referred to as an oncometabolite and biomarker for gliomas. PCR-sequencing (n = 220), immunohistochemistry staining (IHC, n = 220), and gas chromatography mass spectrometry (GC-MS, n = 87) were applied to identify IDH mutation in gliomas, and the sensitivity and specificity of these strategies were compared. PCR-sequencing and IHC staining are reliable for retrospective assessment of IDH1 mutation in gliomas, but both methods usually take 1-2 days, which hinders their application for rapid diagnosis. GC-MS-based methods can detect 2-HG qualitatively and quantitatively, offering information on the IDH1 mutation status in gliomas with the sensitivity and specificity being 100%. Further optimization of the GC-MS based methodology (so called as the mini-column method) enabled us to determine 2-HG within 40 min in glioma samples without complex or time-consuming preparation. Most importantly, the ratio of 2-HG/glutamic acid was shown to be a reliable parameter for determination of mutation status. The mini-column method enables rapid identification of 2-HG, providing a promising strategy for intraoperative diagnosis of IDH1-mutated gliomas in the future.
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Affiliation(s)
- Hao Xu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Yu-Kun Xia
- The Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chun-Jie Li
- The Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin-Ye Zhang
- The Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Liu
- Department of Pathology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Yi
- China Novartis Institutes for BioMedical Research Co. Ltd, Shanghai, China
| | - Zhi-Yong Qin
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Liang Chen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhi-Feng Shi
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Kai Quan
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Zi-Xiao Yang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Kun-Liang Guan
- The Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Pharmacology and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Yue Xiong
- The Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Biochemistry and Biophysics, Lineberger Comprehensive Cancer Centre, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ho-Keung Ng
- Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.,State Key Laboratory of Southern China in Oncology, The Chinese University of Hong Kong, Hong Kong, China
| | - Dan Ye
- The Molecular and Cell Biology Lab, Institute of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Wei Hua
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China. .,State Key Laboratory of Medical Neurobiology, School of Basic Medical Sciences, and The Collaborative Innovation Centre for Brain Science, Fudan University, Shanghai, China.
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Du JB, Lu Q, Jin GF, Xia YK, Shen HB, Hu ZB. [Data management and quality control strategies for population based cohort study]. Zhonghua Yu Fang Yi Xue Za Zhi 2018; 52:1078-1081. [PMID: 30392332 DOI: 10.3760/cma.j.issn.0253-9624.2018.10.022] [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
Large-scale cohort study has unique advantages in the field of etiology research for its large sample size a multi-time point data, but it also brings great difficulty in data management and quality control at the same time. Recently, China has initiated a number of large-scale population cohort studies, posing enormous challenges to the management and quality control of related cohort data. This paper summarizes the existing experience and consensus in the field of cohort study in China from the characteristics of the cohort data, aiming at the types and main forms of the four main sources of questionnaire data, clinical diagnosis and treatment data, biological sample detection data and observation outcome data, from the data storage, circulation and transmission work.The contents and methods of queue data management are comprehensively summarized. Corresponding data quality control strategies are advised in the questionnaire evaluation, data logic verification, survey object sampling and multi-database review, etc. The goal of this review is to provide guidance for the management of data and the formulation of quality control strategies in the cohort study in China.
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Affiliation(s)
- J B Du
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Wang ML, Ni CH, Xia YK. [The founding analysis of national natural science foundation in the field of occupational and environmental health]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2016; 34:704-706. [PMID: 27866559 DOI: 10.3760/cma.j.issn.1001-9391.2016.09.023] [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: 06/06/2023]
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Xia YK, Tu SH, Hu YH, Wang Y, Chen Z, Day HT, Ross K. Pulmonary hypertension in systemic lupus erythematosus: a systematic review and analysis of 642 cases in Chinese population. Rheumatol Int 2012; 33:1211-7. [PMID: 22983159 PMCID: PMC3632720 DOI: 10.1007/s00296-012-2525-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2012] [Accepted: 08/23/2012] [Indexed: 02/04/2023]
Abstract
Pulmonary hypertension (PH) is an increasingly recognized complication of systemic lupus erythematosus (SLE). To develop a more comprehensive understanding of the clinical and pathological characteristics of pulmonary hypertension associated with systemic lupus erythematosus (PH/SLE) in the Chinese population, a systematic review of the literature up to 2012 was conducted. Six hundred and forty-two Chinese PH/SLE cases from 22 studies were identified as well documented and further analyzed. Transthoracic echocardiography (TTE), X-ray, electrocardiogram and right heart catheterization (RHC) were performed to diagnose PH in SLE patients. The mean age of subjects was 35.5 years, the male to female ratio was 1:14, and the mean duration of SLE when PH was diagnosed was 10.7 years. The prevalence of PH in SLE was 2.8–23.3 %. Symptoms were usually nonspecific, and the observed clinical characteristics include Raynaud’s phenomenon (41.4 %), serous effusion (27.7 %), positive RNP (51.5 %) and positive ACL (46.6 %). Gold standard RHC is strongly recommended, especially for those who had resting pulmonary arterial systolic pressure >30 mmHg on TTE with the aforementioned clinical characteristics. Corticosteroids, immunosuppressants and vasodilators were the most common medications employed in treatment. Early identification and standard PH treatment with intensive SLE treatment can improve the prognosis.
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Affiliation(s)
- Y K Xia
- Department of Integrated Chinese and Western Medicine, Tongji Hospital of Tongji Medical College, Central-China (Huazhong) University of Science and Technology, 1095 Jiefang Avenue, Wuhan 430030, Hubei, People's Republic of China
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Wu B, Lu NX, Xia YK, Gu AH, Lu CC, Wang W, Song L, Wang SL, Shen HB, Wang XR. A frequent Y chromosome b2/b3 subdeletion shows strong association with male infertility in Han-Chinese population. Hum Reprod 2007; 22:1107-13. [PMID: 17204527 DOI: 10.1093/humrep/del499] [Citation(s) in RCA: 86] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Azoospermia factor c (AZFc) subdeletions were reported to be significant risk factors for spermatogenesis. In this study, we assessed the occurrence of classical AZF deletions and AZFc subdeletions and their impact on male infertility in a Han-Chinese population. METHODS This study analysed a population of 699 subjects, including 451 idiopathic infertile patients with a range of fertility disorders and 248 fertile controls, using a retrospective design. Deletions were identified by multiplex PCR. RESULTS The prevalence and phenotypes of the classical AZF deletions were similar to previous studies. Subdeletions of the AZFc region in patients showed similar overall frequencies in all sperm concentration categories of gr/gr (7.0%) and b2/b3 (8.9%). For controls, these subdeletions were also found with a prevalence of gr/gr (7.7%) and b2/b3 (3.2%). b1/b3 deletions were not found either in the patients or in the controls. CONCLUSION Our data showed a higher frequency of deletion events in this Han-Chinese population than in populations elsewhere in the world. The classical AZF deletions were the primary genetic factors for spermatogenic failure, while no significant association was found for AZFc subdeletions with sperm concentration. However, the b2/b3 subdeletion was significantly associated with idiopathic male infertility (odds ratio, 2.93; 95% confidence interval 1.34-6.39) (P = 0.005), indicating a potential impairment of male fertility.
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Affiliation(s)
- B Wu
- The Key Laboratory of Reproductive Medicine of Jiangsu Province, Institute of Toxicology, Nanjing Medical University School of Public Health, Nanjing, China
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Bian Q, Xu LC, Wang SL, Xia YK, Tan LF, Chen JF, Song L, Chang HC, Wang XR. Study on the relation between occupational fenvalerate exposure and spermatozoa DNA damage of pesticide factory workers. Occup Environ Med 2004; 61:999-1005. [PMID: 15550606 PMCID: PMC1740696 DOI: 10.1136/oem.2004.014597] [Citation(s) in RCA: 92] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
AIMS To determine sperm nuclear DNA integrity and to investigate the relation between fenvalerate (FE) exposure and spermatozoa DNA damage. METHODS Sperm DNA fragmentation was detected by a modified alkaline single cell gel electrophoresis (Comet) assay and a terminal deoxynucleotidyl transferase mediated dUTP nick end labelling (TUNEL) assay. The olive tail moment (OTM) and percentage tail DNA were measured by the Comet assay, and cell positive percentage was measured by the TUNEL assay for DNA damage evaluation. RESULTS The DNA integrity of spermatozoa of external and internal control groups were both significantly greater than that of the FE exposed group. The median value of tail DNA percentage in the exposure group was 11.30, which was significantly higher than 5.60 in the internal control group and 5.10 in the external control group. The median value of OTM was 3.80 in the exposure group, significantly higher than 1.50 in the internal control group and 2.00 in the external control group. Mean cell positive was 31.2% in the exposure group, significantly higher than 17.4% in the internal control and 19.6% in the external control groups. Cell positive (%) was significantly correlated with tail DNA percentage and with OTM of whole subjects (n = 63). CONCLUSIONS Results showed that occupational FE exposure is associated with an increase in sperm DNA damage. A combination of the Comet and TUNEL assays would offer more comprehensive information for a better understanding of sperm DNA damage, and the biological significance of sperm DNA damage in sperm function and male infertility.
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Affiliation(s)
- Q Bian
- Institute of Toxicology, Nanjing Medical University, Nanjing 210029, China
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