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Zhang YY, Xin X, Bi LQ, Shi FY, Cao RX, Wang YM, Liu XH. [Colorectal cancer with β-catenin protein expression deficiency: a clinicopathological analysis]. Zhonghua Bing Li Xue Za Zhi 2024; 53:288-292. [PMID: 38433058 DOI: 10.3760/cma.j.cn112151-20230721-00019] [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: 03/05/2024]
Abstract
Objective: To investigate the clinicopathological features and molecular characteristics of β-catenin-deficient colorectal cancer. Methods: The clinical, pathological and molecular features of 11 colorectal cancers with β-catenin protein loss diagnosed at the 960th Hospital of People's Liberation Army of China, from January 2012 to November 2022 were analyzed. Results: Among the 11 patients, 3 were males and 8 were females. Their age ranged from 43 to 74 years, with the median age of 59 years. Six were in the left colon and 5 were in the right colon. One of the 11 cases had lymph node metastasis, 10 cases were well and moderately differentiated adenocarcinoma, and 1 was mucinous adenocarcinoma. Eight cases were of TNM stage T4, 2 of T1 stage and 1 of Tis stage. β-catenin protein was not detected using immunohistochemistry. Sanger sequencing revealed the presence of fragment-deletion mutation in exon 3 of CTNNB1 gene, resulting in loss of β-catenin protein expression. Conclusion: β-catenin deficiency is present in a small number of colorectal cancers and may be associated with exon 3 mutations of CTNNB1 gene.
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Affiliation(s)
- Y Y Zhang
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - X Xin
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - L Q Bi
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - F Y Shi
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - R X Cao
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
| | - Y M Wang
- Department of Pathology, Hekou District People's Hospital, Dongying 257299, China
| | - X H Liu
- Department of Pathology, 960th Hospital of People's Liberation Army of China, Jinan 250031, China
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Zhang B, Su T, Xin X, Li P, Wang J, Wang W, Yu Y, Zhao X, Zhang D, Li D, Zhang F, Yu S. Wall-associated kinase BrWAK1 confers resistance to downy mildew in Brassica rapa. Plant Biotechnol J 2023; 21:2125-2139. [PMID: 37402218 PMCID: PMC10502744 DOI: 10.1111/pbi.14118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 05/16/2023] [Accepted: 06/15/2023] [Indexed: 07/06/2023]
Abstract
The plant cell wall is the first line of defence against physical damage and pathogen attack. Wall-associated kinase (WAK) has the ability to perceive the changes in the cell wall matrix and transform signals into the cytoplasm, being involved in plant development and the defence response. Downy mildew, caused by Hyaloperonospora brassicae, can result in a massive loss in Chinese cabbage (Brassica rapa L. ssp. pekinensis) production. Herein, we identified a candidate resistant WAK gene, BrWAK1, in a major resistant quantitative trait locus, using a double haploid population derived from resistant inbred line T12-19 and the susceptible line 91-112. The expression of BrWAK1 could be induced by salicylic acid and pathogen inoculation. Expression of BrWAK1 in 91-112 could significantly enhance resistance to the pathogen, while truncating BrWAK1 in T12-19 increased disease susceptibility. Variation in the extracellular galacturonan binding (GUB) domain of BrWAK1 was found to mainly confer resistance to downy mildew in T12-19. Moreover, BrWAK1 was proved to interact with BrBAK1 (brassinosteroid insensitive 1 associated kinase), resulting in the activation of the downstream mitogen-activated protein kinase (MAPK) cascade to trigger the defence response. BrWAK1 is the first identified and thoroughly characterized WAK gene conferring disease resistance in Chinese cabbage, and the plant biomass is not significantly influenced by BrWAK1, which will greatly accelerate Chinese cabbage breeding for downy mildew resistance.
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Affiliation(s)
- Bin Zhang
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Tongbing Su
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Xiaoyun Xin
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Peirong Li
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Jiao Wang
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Weihong Wang
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Yangjun Yu
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Xiuyun Zhao
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Deshuang Zhang
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Dayong Li
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Fenglan Zhang
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
| | - Shuancang Yu
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences (BAAFS)BeijingChina
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of AgricultureBeijingChina
- Beijing Key Laboratory of Vegetable Germplasm ImprovementBeijingChina
- State Key Laboratory of Vegetable BiobreedingBeijingChina
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Dato Md Yusof YJ, Ng QX, Teoh SE, Loh CYL, Xin X, Thumboo J. Validation and use of the Second Victim Experience and Support Tool questionnaire: a scoping review. Public Health 2023; 223:183-192. [PMID: 37672831 DOI: 10.1016/j.puhe.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/23/2023] [Accepted: 08/01/2023] [Indexed: 09/08/2023]
Abstract
OBJECTIVES Patient safety incidents can impact not only patients and families but also healthcare providers, who may experience negative emotions and symptoms, such as anxiety, guilt, stress, and loss of confidence. To identify and support these "second victims," a screening tool called the Second Victim Experience and Support Tool (SVEST) has been developed. This scoping review aims to map our current knowledge of the SVEST in terms of its scope of use, validation and limitations. STUDY DESIGN Scoping review. METHODS In accordance with the framework outlined by Arksey and O'Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews, we conducted a literature search in MEDLINE, CINAHL, Cochrane Library, SCOPUS, Embase and PsycINFO databases from database inception up till 1 March 2023. RESULTS A total of 31 studies were reviewed. The SVEST has been cross-culturally adapted from English into other languages. The SVEST has been successfully used in different contexts and with various healthcare professionals, including doctors, nurses, allied health professionals, midwives and pharmacists. The tool has been used to assess the impact of second victim experiences and the effectiveness of support interventions in addressing the phenomenon. Validity assessment of translated versions of SVEST in the reviewed studies revealed good content validity in most cases, although some studies did not report clear values for scale-level Content Validity Index. On the whole, SVEST is generally a reliable and valid tool, although further refinements and modifications may improve its validity and reliability. CONCLUSIONS The review highlights the significance of SVEST as a crucial resource for healthcare providers and organisations that prioritise well-being and safety in health care. It also underscores the importance of recognising the needs of second victims and offering them appropriate interventions to manage the aftermath of adverse events.
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Affiliation(s)
- Y J Dato Md Yusof
- Health Services Research Unit, Singapore General Hospital, Singapore
| | - Q X Ng
- Health Services Research Unit, Singapore General Hospital, Singapore.
| | - S E Teoh
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - C Y L Loh
- NUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - X Xin
- Health Services Research Unit, Singapore General Hospital, Singapore
| | - J Thumboo
- Health Services Research Unit, Singapore General Hospital, Singapore; SingHealth Duke-NUS Medicine Academic Clinical Programme, Duke-NUS Medical School, Singapore
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Su T, Wang W, Wang Z, Li P, Xin X, Yu Y, Zhang D, Zhao X, Wang J, Sun L, Jin G, Zhang F, Yu S. BrMYB108 confers resistance to Verticillium wilt by activating ROS generation in Brassica rapa. Cell Rep 2023; 42:112938. [PMID: 37552600 DOI: 10.1016/j.celrep.2023.112938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 04/12/2023] [Accepted: 07/20/2023] [Indexed: 08/10/2023] Open
Abstract
Increasing plant resistance to Verticillium wilt (VW), which causes massive losses of Brassica rapa crops, is a challenge worldwide. However, few causal genes for VW resistance have been identified by forward genetic approaches, resulting in limited application in breeding. We combine a genome-wide association study in a natural population and quantitative trait locus mapping in an F2 population and identify that the MYB transcription factor BrMYB108 regulates plant resistance to VW. A 179 bp insertion in the BrMYB108 promoter alters its expression pattern during Verticillium longisporum (VL) infection. High BrMYB108 expression leads to high VL resistance, which is confirmed by disease resistance tests using BrMYB108 overexpression and loss-of-function mutants. Furthermore, we verify that BrMYB108 confers VL resistance by regulating reactive oxygen species (ROS) generation through binding to the promoters of respiratory burst oxidase genes (Rboh). A loss-of-function mutant of AtRbohF in Arabidopsis shows significant susceptibility to VL. Thus, BrMYB108 and its target ROS genes could be used as targets for genetic engineering for VL resistance of B. rapa.
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Affiliation(s)
- Tongbing Su
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China
| | - Weihong Wang
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China
| | - Zheng Wang
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China
| | - Peirong Li
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China
| | - Xiaoyun Xin
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China
| | - Yangjun Yu
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China
| | - Deshuang Zhang
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China
| | - Xiuyun Zhao
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China
| | - Jiao Wang
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China
| | - Liling Sun
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China
| | - Guihua Jin
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China
| | - Fenglan Zhang
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China.
| | - Shuancang Yu
- State Key Laboratory of Vegetable Biobreeding, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasms Improvement, Beijing 100097, China; Key Laboratory of Biology and Genetics Improvement of Horticultural Crops (North China), Beijing 100097, China.
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Jiang C, Jiang W, Yue Y, Li L, Sun T, Chen G, Xu W, Shah SM, Liu X, Chen S, Xin X, Wang T, Xu Z, Wu A, Shen X, Chen J, Ding R, Yuan Y. The trends of psychosomatic symptoms and perceived stress among healthcare workers during the COVID-19 pandemic in China: Four cross-sectional nationwide surveys, 2020-2023. Psychiatry Res 2023; 326:115301. [PMID: 37390600 PMCID: PMC10276499 DOI: 10.1016/j.psychres.2023.115301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/29/2023] [Accepted: 06/10/2023] [Indexed: 07/02/2023]
Abstract
An unseen wave of vast infection was detected in China in December 2022, and healthcare workers faced inevitable challenges and heavy stress. We aimed to present a dynamic mental health map and, most importantly, provide a timely report of the current situation in healthcare workers. The current study conducted four national cross-sectional online surveys from February and March 2020, Apr 2022, and Jan 2023. The Psychosomatic Symptom Scale (PSSS) and Perceived Stress Scale-10 (PSS-10) were used to assess psychosomatic symptoms and perceived stress. Fourteen thousand nine hundred forty-five participants (8578 healthcare workers and 6367 others) participated in the surveys. The prevalence of psychosomatic syndrome, reflected by PSSS, was 19.3% (Wave1), 22.9% (Wave2), 36.4% (Wave3), and 60.7% (Wave4) among healthcare workers, compared to 24.0% (Wave1), 35.7% (Wave2), 34.2% (Wave3) and 50.5% (Wave4) among the others. In addition, healthcare workers exhibited lower PSSS total scores at the beginning but higher in later waves. Despite their infection status, they now suffer from more severe psychosomatic symptoms than the rest of society. Our findings suggest that healthcare workers in China have now experienced severe psychosomatic symptoms and tremendous stress. Therefore, there is an urgent need to utilize social support for them.
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Affiliation(s)
- Chenguang Jiang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Yingying Yue
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Lei Li
- Department of Clinical Psychology, The Fourth People's Hospital of Lianyungang, Lianyungang, Jiangsu, China
| | - Taipeng Sun
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China; Department of medical psychology, Huai'an Third People's Hospital, Huaian, Jiangsu, China
| | - Gang Chen
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China; Department of medical psychology, Huai'an Third People's Hospital, Huaian, Jiangsu, China
| | - Wei Xu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China; Department of Clinical Psychology, Northern Jiangsu People's Hospital, Yangzhou, China
| | - S Mudasser Shah
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Xiaoyun Liu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Suzhen Chen
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Xiaoyun Xin
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Tianyu Wang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Zhi Xu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China
| | - Aiqin Wu
- Department of Psychosomatics, The Affiliated First Hospital of Suzhou University, Suzhou, Jiangsu, China; Chinese Society of Psychosomatic Medicine (CSPM), China
| | - Xinhua Shen
- Department of Neurosis and Psychosomatic Diseases, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou, China; Chinese Society of Psychosomatic Medicine (CSPM), China
| | - Jue Chen
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Chinese Society of Psychosomatic Medicine (CSPM), China
| | - Rongjing Ding
- Peking Union Medical University Hospital, Cardiac Rehabilitation Center, Beijing, China; Chinese Society of Psychosomatic Medicine (CSPM), China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China; Chinese Society of Psychosomatic Medicine (CSPM), China.
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Hu Z, Niu F, Yan P, Wang K, Zhang L, Yan Y, Zhu Y, Dong S, Ma F, Lan D, Liu S, Xin X, Wang Y, Yang J, Cao L, Wu S, Luo X. The kinase OsSK41/OsGSK5 negatively regulates amylose content in rice endosperm by affecting the interaction between OsEBP89 and OsBP5. J Integr Plant Biol 2023. [PMID: 36965127 DOI: 10.1111/jipb.13488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 03/23/2023] [Indexed: 06/18/2023]
Abstract
Amylose content (AC) is the main factor determining the palatability, viscosity, transparency, and digestibility of rice (Oryza sativa) grains. AC in rice grains is mainly controlled by different alleles of the Waxy (Wx) gene. The AP2/EREBP transcription factor OsEBP89 interacts with the MYC-like protein OsBP5 to synergistically regulate the expression of Wx. Here, we determined that the GLYCOGEN SYNTHASE KINASE 5 (OsGSK5, also named SHAGGY-like kinase 41 [OsSK41]) inhibits the transcriptional activation activity of OsEBP89 in rice grains during amylose biosynthesis. The loss of OsSK41 function enhanced Wx expression and increased AC in rice grains. By contrast, the loss of function of OsEBP89 reduced Wx expression and decreased AC in rice grains. OsSK41 interacts with OsEBP89 and phosphorylates four of its sites (Thr-28, Thr-30, Ser-238, and Thr-257), which makes OsEBP89 unstable and attenuates its interaction with OsBP5. Wx promoter activity was relatively weak when regulated by the phosphomimic variant OsEBP89E -OsBP5 but relatively strong when regulated by the nonphosphorylatable variant OsEBP89A -OsBP5. Therefore, OsSK41-mediated phosphorylation of OsEBP89 represents an additional layer of complexity in the regulation of amylose biosynthesis during rice grain development. In addition, our findings provide four possible sites for regulating rice grain AC via precise gene editing.
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Affiliation(s)
- Zejun Hu
- Key Laboratory of Germplasm Innovation and Genetic Improvement of Grain and Oil Crops (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Fuan Niu
- Key Laboratory of Germplasm Innovation and Genetic Improvement of Grain and Oil Crops (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Peiwen Yan
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Kai Wang
- Key Laboratory of Germplasm Innovation and Genetic Improvement of Grain and Oil Crops (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Lixia Zhang
- Key Laboratory of Germplasm Innovation and Genetic Improvement of Grain and Oil Crops (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Ying Yan
- Key Laboratory of Germplasm Innovation and Genetic Improvement of Grain and Oil Crops (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Yu Zhu
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Shiqing Dong
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Fuying Ma
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Dengyong Lan
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Siwen Liu
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Xiaoyun Xin
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Ying Wang
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Jinshui Yang
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Liming Cao
- Key Laboratory of Germplasm Innovation and Genetic Improvement of Grain and Oil Crops (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Shujun Wu
- Key Laboratory of Germplasm Innovation and Genetic Improvement of Grain and Oil Crops (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Crop Breeding and Cultivation Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China
| | - Xiaojin Luo
- State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, 200438, China
- MOE Key Laboratory of Crop Physiology, Ecology and Genetic Breeding College of Agronomy, Jiangxi Agricultural University, Nanchang, 330045, China
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Shi L, Chang L, Yu Y, Zhang D, Zhao X, Wang W, Li P, Xin X, Zhang F, Yu S, Su T, Dong Y, Shi F. Recent Advancements and Biotechnological Implications of Carotenoid Metabolism of Brassica. Plants (Basel) 2023; 12:1117. [PMID: 36903976 PMCID: PMC10005552 DOI: 10.3390/plants12051117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/26/2023] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
Carotenoids were synthesized in the plant cells involved in photosynthesis and photo-protection. In humans, carotenoids are essential as dietary antioxidants and vitamin A precursors. Brassica crops are the major sources of nutritionally important dietary carotenoids. Recent studies have unraveled the major genetic components in the carotenoid metabolic pathway in Brassica, including the identification of key factors that directly participate or regulate carotenoid biosynthesis. However, recent genetic advances and the complexity of the mechanism and regulation of Brassica carotenoid accumulation have not been reviewed. Herein, we reviewed the recent progress regarding Brassica carotenoids from the perspective of forward genetics, discussed biotechnological implications and provided new perspectives on how to transfer the knowledge of carotenoid research in Brassica to the crop breeding process.
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Affiliation(s)
- Lichun Shi
- School of Life Sciences, Liaocheng University, Liaocheng 252059, China
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Lin Chang
- Marine Science Research Institute of Shandong Province, Qingdao 266104, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Yang Dong
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, The Chinese Academy of Sciences, Beijing 100093, China
- China National Botanical Garden, Beijing 100093, China
| | - Fumei Shi
- School of Life Sciences, Liaocheng University, Liaocheng 252059, China
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8
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Xin X, Liu H, Sun J, Gao K, Jia R. Enhanced photocatalytic activity of Fe-, S- and N-codoped TiO 2 for sulfadiazine degradation. Int J Environ Sci Technol (Tehran) 2023; 20:1-12. [PMID: 36686289 PMCID: PMC9846705 DOI: 10.1007/s13762-023-04771-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/26/2022] [Accepted: 01/07/2023] [Indexed: 06/17/2023]
Abstract
The composite material based on N-, S-, and Fe-doped TiO2 (NSFe-TiO2) synthesized by wet impregnation was used as a photocatalyst to rapidly degrade sulfadiazine. The photocatalytic degradation behavior and mechanism of sulfadiazine on NSFe-TiO2 were investigated for revealing the role of degradation under ultraviolet light. The results showed that compared with TiO2, NSFe-TiO2 markedly improved the efficiency in photocatalytic degradation of sulfadiazine: more than 90% of sulfadiazine could be removed within 120 min by NSFe-TiO2 dosage of 20 mg L-1. The process conformed to first-order reaction kinetics model. The parameters such as loaded amount of NSFe-TiO2, solution pH value, humic acid concentration and recycle numbers on removal efficiency were also studied. Compared to neutral and alkaline conditions, acidic condition was not conducive to the photocatalysis. HA, Ca2+, Cu2+ and Zn2+ in the actual water body had mild inhibition on sulfadiazine degradation in UV/NSFe-TiO2 system. Fragments screened by high-resolution mass spectrometry were conducted to explore the oxidation mechanism and pathways of sulfadiazine degradation. On the whole, UV/NSFe-TiO2 photocatalysis has a good effect on sulfadiazine removal. Supplementary Information The online version contains supplementary material available at 10.1007/s13762-023-04771-6.
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Affiliation(s)
- X. Xin
- Shandong Province Water Supply and Drainage Monitoring Center, Jinan, 250101 China
| | - H. Liu
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022 China
| | - J. Sun
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022 China
| | - K. Gao
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022 China
| | - R. Jia
- Shandong Province Water Supply and Drainage Monitoring Center, Jinan, 250101 China
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022 China
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9
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Xue M, Jia X, Shi X, Yang C, Wang R, Zhao C, Xin X, Yang Y. Association between Sarcopenia and Cognitive Trajectories among Middle-Aged and Older Adults in China: A Nationally Representative Cohort Study. J Nutr Health Aging 2023; 27:243-250. [PMID: 37170430 DOI: 10.1007/s12603-023-1906-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
OBJECTIVES The relationship between sarcopenia and cognitive function has been extensively studied, but is usually explored at a single time point. We used repeatedly measured cognitive data to examine the relationship between sarcopenia and cognitive trajectories over time among middle-aged and older Chinese adults. DESIGN A nationally representative cohort study. SETTING AND PARTICIPANTS Data were from three waves (2011, 2013 and 2015) of the China Health and Retirement Longitudinal Study (CHARLS). A total of 8963 participants with complete baseline data (wave 1) and at least two cognitive function tests (waves 1-3) were enrolled in this study. MEASUREMENTS Sarcopenia was diagnosed at baseline (wave 1). The wave 1-3 data were used to analyze cognitive trajectories over time by constructing a latent class trajectory model (LCTM). Logistic regression model was used to analyze the association between sarcopenia and cognitive trajectories. RESULTS Among 8693 participants, we identified two trajectories of cognitive function development, including a persistent low trajectory (n= 4856, 55.86%) and a persistent high trajectory (n= 3837, 44.14%). Sarcopenia was associated with persistently low cognitive trajectory of global cognitive (OR: 1.248, 95%CI: 1.046-1.490) after adjustment for other covariates. This association was still observed when stratified by age, gender, educational level, marital status, social activity, smoking status and drinking status. Mediation analysis showed that body mass index (BMI) mediated efficacy accounting for 42.32% of the relationship. CONCLUSIONS Our study showed two trajectory groups of global cognitive function. Sarcopenia was associated with a persistent low trajectory over time and BMI mediated the relationship between sarcopenia and cognitive trajectories among middle-aged and older Chinese adults.
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Affiliation(s)
- M Xue
- Yongli Yang, Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China,
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10
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Yue X, Su T, Xin X, Li P, Wang W, Yu Y, Zhang D, Zhao X, Wang J, Sun L, Jin G, Yu S, Zhang F. The Adaxial/Abaxial Patterning of Auxin and Auxin Gene in Leaf Veins Functions in Leafy Head Formation of Chinese Cabbage. Front Plant Sci 2022; 13:918112. [PMID: 35755702 PMCID: PMC9224592 DOI: 10.3389/fpls.2022.918112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/17/2022] [Indexed: 06/15/2023]
Abstract
Leaf curling is an essential prerequisite for the formation of leafy heads in Chinese cabbage. However, the part or tissue that determines leaf curvature remains largely unclear. In this study, we first introduced the auxin-responsive marker DR5::GUS into the Chinese cabbage genome and visualized its expression during the farming season. We demonstrated that auxin response is adaxially/abaxially distributed in leaf veins. Together with the fact that leaf veins occupy considerable proportions of the Chinese cabbage leaf, we propose that leaf veins play a crucial supporting role as a framework for heading. Then, by combining analyses of QTL mapping and a time-course transcriptome from heading Chinese cabbage and non-heading pak choi during the farming season, we identified the auxin-related gene BrPIN5 as a strong candidate for leafy head formation. PIN5 displays an adaxial/abaxial expression pattern in leaf veins, similar to that of DR5::GUS, revealing an involvement of BrPIN5 in leafy head development. The association of BrPIN5 function with heading was further confirmed by its haplo-specificity to heading individuals in both a natural population and two segregating populations. We thus conclude that the adaxial/abaxial patterning of auxin and auxin genes in leaf veins functions in the formation of the leafy head in Chinese cabbage.
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Affiliation(s)
- Xiaozhen Yue
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Key Laboratory of the Vegetable Postharvest Treatment of Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-Food Processing and Nutrition (IAPN), Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Jiao Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
| | - Liling Sun
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
| | - Guihua Jin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
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11
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Wang Z, Yang J, Cheng F, Li P, Xin X, Wang W, Yu Y, Zhang D, Zhao X, Yu S, Zhang F, Dong Y, Su T. Subgenome dominance and its evolutionary implications in crop domestication and breeding. Hortic Res 2022; 9:uhac090. [PMID: 35873727 PMCID: PMC9297153 DOI: 10.1093/hr/uhac090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 03/30/2022] [Indexed: 05/29/2023]
Abstract
Polyploidization or whole-genome duplication (WGD) is a well-known speciation and adaptation mechanism in angiosperms, while subgenome dominance is a crucial phenomenon in allopolyploids, established following polyploidization. The dominant subgenomes contribute more to genome evolution and homoeolog expression bias, both of which confer advantages for short-term phenotypic adaptation and long-term domestication. In this review, we firstly summarize the probable mechanistic basis for subgenome dominance, including the effects of genetic [transposon, genetic incompatibility, and homoeologous exchange (HE)], epigenetic (DNA methylation and histone modification), and developmental and environmental factors on this evolutionary process. We then move to Brassica rapa, a typical allopolyploid with subgenome dominance. Polyploidization provides the B. rapa genome not only with the genomic plasticity for adapting to changeable environments, but also an abundant genetic basis for morphological variation, making it a representative species for subgenome dominance studies. According to the 'two-step theory', B. rapa experienced genome fractionation twice during WGD, in which most of the genes responding to the environmental cues and phytohormones were over-retained, enhancing subgenome dominance and consequent adaption. More than this, the pangenome of 18 B. rapa accessions with different morphotypes recently constructed provides further evidence to reveal the impacts of polyploidization and subgenome dominance on intraspecific diversification in B. rapa. Above and beyond the fundamental understanding of WGD and subgenome dominance in B. rapa and other plants, however, it remains elusive why subgenome dominance has tissue- and spatiotemporal-specific features and could shuffle between homoeologous regions of different subgenomes by environments in allopolyploids. We lastly propose acceleration of the combined application of resynthesized allopolyploids, omics technology, and genome editing tools to deepen mechanistic investigations of subgenome dominance, both genetic and epigenetic, in a variety of species and environments. We believe that the implications of genomic and genetic basis of a variety of ecologically, evolutionarily, and agriculturally interesting traits coupled with subgenome dominance will be uncovered and aid in making new discoveries and crop breeding.
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Affiliation(s)
| | | | | | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
- National Engineering Research Center for Vegetables, Beijing 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
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12
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Zhang YY, Xin X, Yang CY, Wang XY, Xia T, Wang HY. [The application value of plasma heterogeneous nuclear ribonucleoprotein A2/B1, Aβ 42 and P-tau in the preoperative diagnosis of mild cognitive dysfunction]. Zhonghua Yi Xue Za Zhi 2022; 102:321-325. [PMID: 35092971 DOI: 10.3760/cma.j.cn112137-20210830-01977] [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 explore the application value of plasma heterogeneous nuclear ribonucleoprotein A2/B1(hnRNP A2B1), β-amyloid 42(Aβ42) and phosphorylated tau protein(P-tau) levels in elderly patients in the preoperative diagnosis of mild cognitive impairment(MCI). Methods: A total of 200 patients who underwent elective surgery at Tianjin Third Central Hospital from June 2020 to March 2021were Enrolled, regardless of gender, age 65-80 years old. According to the international MCI working group standards and the European Alzheimer's Disease Federation working group standards, patients were divided into MCI group and control group. There were 58 males and 42 females in each group. The patient's plasma hnRNP A2/B1, Aβ42 and P-tau levels were detected before operation. The sensitivity, specificity and accuracy of the diagnosis of MCI were calculated. The receiver operating characteristic curve were drew to evaluate the diagnostic value of each index. Results: The plasma levels of hnRNP A2/B1, Aβ42 and P-tau in the MCI group were 310.0 (275.1, 344.2), 34.5 (24.9, 42.5), 190.4 (150.4, 301.7) ng/L, respectively, which were significantly higher than those of the control group [272.7 (239.6, 291.5), 18.7 (14.7, 26.6), 140.0 (101.8, 217.5) ng/L]. The differences were statistically significant (all P<0.05). Taking the international MCI working group standard as the gold standard, the sensitivity, specificity and area under the ROC curve (AUC) of plasma hnRNP A2/B1 for predicting MCI were 80%, 61%, and 0.781, respectively. The sensitivity, specificity and AUC of plasma Aβ42 for predicting MCI were 78%, 73%, and 0.744. The sensitivity, specificity, and AUC of P-tau for predicting MCI were 51%, 79%, and 0.675, respectively. The sensitivity, specificity and AUC of hnRNP A2/B1 and Aβ42 in predicting MCI were not statistically significant (all P>0.05), but the sensitivity of both were higher than P-tau (all P<0.001). Compared with P-tau, the AUC of plasma hnRNP A2/B1 was higher when predicting MCI (P<0.05). When the three indicators were combined, the sensitivity was 82%, and the AUC was 0.842, both of which were the highest, but the specificity reduced (71%) (all P<0.05). Conclusions: Plasma hnRNP A2/B1 combined with Aβ42 and P-tau levels can improve the sensitivity and accuracy of MCI diagnosis in elderly MCI patients before surgery, and have the greatest diagnostic efficiency. It has certain application value.
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Affiliation(s)
- Y Y Zhang
- Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - X Xin
- Tianjin Third Central Hospital, Third Central Hospital of Tianjin Affiliated to Nankai University, Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - C Y Yang
- Tianjin Third Central Hospital, Third Central Hospital of Tianjin Affiliated to Nankai University, Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - X Y Wang
- Tianjin Third Central Hospital, Third Central Hospital of Tianjin Affiliated to Nankai University, Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - T Xia
- Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
| | - H Y Wang
- Tianjin Third Central Hospital, Third Central Hospital of Tianjin Affiliated to Nankai University, Third Central Clinical College of Tianjin Medical University, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Artificial Cell Engineering Technology Research Center, Tianjin Hepatobiliary Disease Research Institute, Tianjin 300170, China
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13
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Li P, Lv S, Zhang D, Su T, Xin X, Wang W, Zhao X, Yu Y, Zhang Y, Yu S, Zhang F. The Carotenoid Esterification Gene BrPYP Controls Pale-Yellow Petal Color in Flowering Chinese Cabbage ( Brassica rapa L. subsp. parachinensis). Front Plant Sci 2022; 13:844140. [PMID: 35592555 PMCID: PMC9111173 DOI: 10.3389/fpls.2022.844140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 02/14/2022] [Indexed: 05/13/2023]
Abstract
Carotenoid esterification plays indispensable roles in preventing degradation and maintaining the stability of carotenoids. Although the carotenoid biosynthetic pathway has been well characterized, the molecular mechanisms underlying carotenoid esterification, especially in floral organs, remain poorly understood. In this study, we identified a natural mutant flowering Chinese cabbage (Caixin, Brassica rapa L. subsp. chinensis var. parachinensis) with visually distinguishable pale-yellow petals controlled by a single recessive gene. Transmission electron microscopy (TEM) demonstrated that the chromoplasts in the yellow petals were surrounded by more fully developed plastoglobules compared to the pale-yellow mutant. Carotenoid analyses further revealed that, compared to the pale-yellow petals, the yellow petals contained high levels of esterified carotenoids, including lutein caprate, violaxanthin dilaurate, violaxanthin-myristate-laurate, 5,6epoxy-luttein dilaurate, lutein dilaurate, and lutein laurate. Based on bulked segregation analysis and fine mapping, we subsequently identified the critical role of a phytyl ester synthase 2 protein (PALE YELLOW PETAL, BrPYP) in regulating carotenoid pigmentation in flowering Chinese cabbage petals. Compared to the yellow wild-type, a 1,148 bp deletion was identified in the promoter region of BrPYP in the pale-yellow mutant, resulting in down-regulated expression. Transgenic Arabidopsis plants harboring beta-glucuronidase (GUS) driven by yellow (BrPYP Y ::GUS) and pale-yellow type (BrPYP PY ::GUS) promoters were subsequently constructed, revealing stronger expression of BrPYP Y ::GUS both in the leaves and petals. Furthermore, virus-induced gene silencing of BrPYP significantly altered petal color from yellow to pale yellow. These findings demonstrate the molecular mechanism of carotenoid esterification, suggesting a role of phytyl ester synthase in carotenoid biosynthesis of flowering Chinese cabbage.
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Affiliation(s)
- Peirong Li
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Sirui Lv
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture, Harbin, China
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Tongbing Su
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Weihong Wang
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Yangjun Yu
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Yaowei Zhang
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture, Harbin, China
- College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin, China
| | - Shuancang Yu
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- *Correspondence: Shuancang Yu,
| | - Fenglan Zhang
- Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Fenglan Zhang,
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Chen S, Xu Z, Li Y, Wang T, Yue Y, Hou Z, You L, Lu N, Yin Y, Liu X, Tan L, Ji H, Shi Y, Xin X, Jiang W, Yuan Y. Clinical Efficacy of the Chinese Herbal Medicine Shumian Capsule for Insomnia: A Randomized, Double-Blind, Placebo-Controlled Trial. Neuropsychiatr Dis Treat 2022; 18:669-679. [PMID: 35378821 PMCID: PMC8976492 DOI: 10.2147/ndt.s349427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 03/09/2022] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Shumian capsule (SMC) is a patent Chinese herbal medicine that can soothe the liver and relieves depression, quiet the spirit. Here, we aimed to investigate the efficacy of SMC for treating insomnia using both scales and polysomnography (PSG). PATIENTS AND METHODS A randomized, double-blind, placebo-controlled trial was performed. Twenty-six insomnia patients randomly received SMC (n = 11) or placebo (n = 15) for four weeks. Pittsburgh Sleep Quality Inventory (PSQI), Insomnia Severity Index (ISI), 9-items Patient Health Questionnaire (PHQ-9), 7-items Generalized Anxiety Disorder (GAD-7), 17-item Hamilton Depression Rating Scale (HAMD-17), and Hamilton Anxiety Rating Scale (HAMA) were applied at the baseline and the 2nd, 4th week after treatment. Treatment Emergent Symptom Scale was used to assess adverse reactions. We used PSG to record and analyze sleep features at baseline and after four weeks. RESULTS PSQI, ISI, PHQ-9, HAMD-17, and HAMA scores decreased significantly after SMC treatment. Also, the total sleep time, rapid-eye-movement (REM) sleep latency, stage 2 sleep, deep sleep, REM sleep, and sleep efficiency improved significantly after SMC treatment. In the placebo group, the only significant change was the decrease of PHQ-9 at week-2. Furthermore, both SMC and placebo reported no adverse events. CONCLUSION SMC could safely improve sleep quality with depression and anxiety remission in insomnia patients.
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Affiliation(s)
- Suzhen Chen
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Zhi Xu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Yinghui Li
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Tianyu Wang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Yingying Yue
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Zhenghua Hou
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Linlin You
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Na Lu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Yingying Yin
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Xiaoyun Liu
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Liangliang Tan
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Houcheng Ji
- Department of Psychiatry, The Second People's Hospital of Jiangning District, Nanjing, People's Republic of China
| | - Yaoran Shi
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Xiaoyun Xin
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, People's Republic of China.,Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, People's Republic of China
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15
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Xin X, Zhang D, Zhao Y, Wang P, Diao P, Wu J, Yang F, Xu J, Orlandini L. Overview of the Dosimetry of Free Breathing and Breath Hold Forward Intensity Modulated Treatments in a Large Clinical Series of Left-Sided Breast Cancer Patients. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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16
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Su T, Wang W, Li P, Xin X, Yu Y, Zhao X, Zhang D, Yu S, Zhang F. Natural variations of BrHISN2 provide a genetic basis for growth-flavour trade-off in different Brassica rapa subspecies. New Phytol 2021; 231:2186-2199. [PMID: 34043823 DOI: 10.1111/nph.17515] [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] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 05/20/2021] [Indexed: 06/12/2023]
Abstract
Selection for yield during B. rapa breeding may have unintended consequences for other traits, such as flavour. LYH-type (light yellow head) Chinese cabbage (Brassica rapa ssp. pekinensis) and wucai (Brassica rapa L. ssp. chinensis var. rosularis) varieties are becoming popular because of their unique flavour and yellow leaves. However, the molecular mechanism underlying the interplay for these traits remains unknown. We conducted a fine mapping and genome-wide exploration analysis of the leaf yellowing of LYH and wucai, including transgenic plants, to identify causal genes. We identified that BrHISN2, a rate-limiting enzyme in histidine biosynthesis, causes leaf yellowing by destroying LYH chloroplasts. Normal growing Brhisn2 mutant plants became etiolated and senesced at the cotyledon-seedling stage. Sequence variations in the promoter confers cold-dependent expression on BrHISN2, probably resulting in leaf yellowing in LYH and wucai. Insertions of two DRE cis elements and the subsequent recruitment of two CBF2 proteins by the DREs to the promoter provided the cold-induced expression plasticity of BrHISN2 in plants. Both LYH and wucai are farmed in the fall, in which the temperature gradually decreases, therefore the CBF2-BrHISN2 module probably maximises the benefits of gene-environment interaction for breeding. We determined the mechanistic connections of chlorophyll synthesis and the growth-flavour trade-off in these B. rapa varieties.
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Affiliation(s)
- Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- National Engineering Research Center for Vegetables, Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- National Engineering Research Center for Vegetables, Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- National Engineering Research Center for Vegetables, Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- National Engineering Research Center for Vegetables, Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- National Engineering Research Center for Vegetables, Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- National Engineering Research Center for Vegetables, Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- National Engineering Research Center for Vegetables, Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- National Engineering Research Center for Vegetables, Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- National Engineering Research Center for Vegetables, Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
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17
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Zhao Y, Tang B, Li J, Wang P, Liao X, Yao X, Xin X, Orlandini L. PO-1902 Treating left-sided breast patients in breath hold using a real time surface tracking system. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)08353-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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18
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Tan YK, Teo P, Saffari SE, Xin X, Chakraborty B, Ng CT, Thumboo J. A musculoskeletal ultrasound program as an intervention to improve disease modifying anti-rheumatic drugs adherence in rheumatoid arthritis: a randomized controlled trial. Scand J Rheumatol 2021; 51:1-9. [PMID: 34107851 DOI: 10.1080/03009742.2021.1901416] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Objectives: To evaluate the effect of a musculoskeletal ultrasound programme (MUSP) applying real-time ultrasonography with reinforcement of findings by a rheumatologist on improving disease-modifying anti-rheumatic drugs (DMARDs) adherence in rheumatoid arthritis (RA).Method: Eligible RA patients with low adherence score (< 6) on the 8-item Morisky Medication Adherence Scale (MMAS-8) were randomized to either an intervention group (receiving MUSP at baseline) or a control group (no MUSP), and followed up for 6 months. Adherence measures (patient-reported and pharmacy dispensing records) and clinical efficacy data were collected. The MUSP's feasibility and acceptability were assessed.Results: Among 132 recruited RA patients, six without baseline visits were excluded; therefore, 126 patients were analysed (62 intervention and 64 control). The primary outcome (proportion of patients with 1 month MMAS-8 score < 6) was significantly smaller (p = 0.019) in the intervention (35.48%) than the control group (56.25%). However, 3 and 6 month adherence and clinical efficacy outcomes were not significantly different between the two groups (all p > 0.05). All 62 patients completed the MUSP (mean time taken, 9.2 min), with the majority reporting moderately/very much improved understanding of their joint condition (71%) and the importance of regularly taking their RA medication(s) (79%). Most patients (90.3%) would recommend the MUSP to another RA patient.Conclusions: The MUSP improved RA patients' DMARDs adherence in the short term and was feasible and well accepted by patients. Future studies could evaluate whether repeated feedback using MUSP could help to sustain the improvement in DMARD adherence in RA patients, and whether this may be clinically impactful and cost-effective.
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Affiliation(s)
- Y K Tan
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Pse Teo
- Health Services Research Unit, Singapore General Hospital, Singapore
| | - S E Saffari
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore
| | - X Xin
- Health Services Research Unit, Singapore General Hospital, Singapore
| | - B Chakraborty
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore.,Department of Statistics and Applied Probability, National University of Singapore, Singapore.,Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - C T Ng
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - J Thumboo
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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19
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Xiang L, Fong W, Low A, Leung YY, Gandhi M, Xin X, Uy E, Hamilton L, Thumboo J. POS1411 EARLY IDENTIFICATION OF AXIAL SPONDYLOARTHRITIS IN A MULTI-ETHNIC ASIAN POPULATION. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:To facilitate earlier diagnosis of spondyloarthritis (SpA), we have previously cross-culturally adapted a self-administered screening questionnaire.Objectives:We aimed to improve the sensitivity of this questionnaire as a screening tool by comparing various scoring methods.Methods:Subjects newly referred to a rheumatology clinic self-administered the questionnaire before seeing a rheumatologist. Identification of axial SpA by the questionnaire using original scoring (Method A) and scoring based on Assessment of SpondyloArthritis International Society (ASAS) inflammatory back pain (IBP) criteria (Method B), ASAS referral criteria (Method C), ASAS classification criteria (Method D) and a combination of ASAS referral and classification criteria (Method E) were compared to classification by the ASAS classification criteria and diagnosis by rheumatologist. Since Methods B-E were based on SpA features, we compared self-reported vs rheumatologist-documented features in subjects with axial SpA.Results:Of 1418 subjects (age: 54 ± 14 years, female: 73%), 39 were classified as axial SpA cases by classification criteria. Methods A-E yielded sensitivities of 39%, 72%, 67%, 49% and 85%, respectively, among patients newly referred to the rheumatology clinic (Table 1). Rheumatologist-documented clinical SpA features exceeded self-report for IBP (62 vs 44%) and uveitis (15 vs 5%). The reverse was true for arthritis (21 vs 80%), enthesitis (28 vs 33%), dactylitis (3 vs 18%), good response to NSAIDs (33 vs 41%) and family history for SpA (5 vs 10%).Table 1.Performance of the five scoring methods for the cross-culturally adapted Hamilton axial SpA questionnaire.Scoring methodSensitivity(95% confidence interval)Specificity(95% confidence interval)Positive predictive value(95% confidence interval)Negative predictive value(95% confidence interval)Method A38.5(23.4 – 55.4)93.7(92.3 – 94.9)14.7(8.5 – 23.1)98.2(97.3 – 98.8)Method B71.8(55.1 – 85.0)73.1(70.7 – 75.4)7.0(4.7 – 10.0)98.9(98.1 – 99.5)Method C66.7(49.8 – 80.9)77.8(75.5 – 80.0)7.8(5.2 – 11.3)98.8(98.0 – 99.4)Method D48.7(32.4 – 65.2)74.9(72.5 – 77.2)5.2(3.2 – 8.0)98.1(97.1 – 98.8)Method E84.6(69.5 – 94.1)37.2(34.6 – 39.8)3.7(2.5 – 5.1)98.8(97.5 – 99.6)Method A: the original scoring defined by the questionnaire developers; Method B: a scoring based on the ASAS IBP criteria; Method C: a scoring based on the ASAS referral criteria; Method D: a scoring based on the ASAS classification criteria for axial and peripheral SpA; Method E: a scoring based on a combination of the ASAS referral and classification criteria.Conclusion:A self-administered questionnaire scored based on a combination of ASAS referral and classification criteria achieved high sensitivity in identifying axial SpA in subjects referred to a rheumatology clinic. This supports its evaluation as a screening tool for axial SpA in the general population.References:[1]Xiang L, Teo EPS, Low AHL, Leung YY, Fong W, Xin X, et al. Cross-cultural adaptation of the Hamilton axial spondyloarthritis questionnaire and development of a Chinese version in a multi-ethnic Asian population. Int J Rheum Dis. 2019;22(9):1652-60.[2]Sieper J, Rudwaleit M, Baraliakos X, Brandt J, Braun J, Burgos-Vargas R, et al. The Assessment of SpondyloArthritis international Society (ASAS) handbook: a guide to assess spondyloarthritis. Annals of the rheumatic diseases. 2009;68 Suppl 2:ii1-44.[3]Poddubnyy D, van Tubergen A, Landewe R, Sieper J, van der Heijde D. Development of an ASAS-endorsed recommendation for the early referral of patients with a suspicion of axial spondyloarthritis. Annals of the rheumatic diseases. 2015;74(8):1483-7.[4]Rudwaleit M, van der Heijde D, Landewe R, Akkoc N, Brandt J, Chou CT, et al. The Assessment of SpondyloArthritis International Society classification criteria for peripheral spondyloarthritis and for spondyloarthritis in general. Annals of the rheumatic diseases. 2011;70(1):25-31.Acknowledgements:This work was supported by a Health Services Research Grant (HSRG) from the Singapore Ministry of Health National Medical Research Council [grant number: NMRC/HSRG/0075/2017].Disclosure of Interests:None declared
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20
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Zhang B, Su T, Li P, Xin X, Cao Y, Wang W, Zhao X, Zhang D, Yu Y, Li D, Yu S, Zhang F. Identification of long noncoding RNAs involved in resistance to downy mildew in Chinese cabbage. Hortic Res 2021; 8:44. [PMID: 33642586 PMCID: PMC7917106 DOI: 10.1038/s41438-021-00479-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 12/14/2020] [Accepted: 12/17/2020] [Indexed: 05/07/2023]
Abstract
Brassica downy mildew, a severe disease caused by Hyaloperonospora brassicae, can cause enormous economic losses in Chinese cabbage (Brassica rapa L. ssp. pekinensis) production. Although some research has been reported recently concerning the underlying resistance to this disease, no studies have identified or characterized long noncoding RNAs involved in this defense response. In this study, using high-throughput RNA sequencing, we analyzed the disease-responding mRNAs and long noncoding RNAs in two resistant lines (T12-19 and 12-85) and one susceptible line (91-112). Clustering and Gene Ontology analysis of differentially expressed genes (DEGs) showed that more DEGs were involved in the defense response in the two resistant lines than in the susceptible line. Different expression patterns and proposed functions of differentially expressed long noncoding RNAs among T12-19, 12-85, and 91-112 indicated that each has a distinct disease response mechanism. There were significantly more cis- and trans-functional long noncoding RNAs in the resistant lines than in the susceptible line, and the genes regulated by these RNAs mostly participated in the disease defense response. Furthermore, we identified a candidate resistance-related long noncoding RNA, MSTRG.19915, which is a long noncoding natural antisense transcript of a MAPK gene, BrMAPK15. Via an agroinfiltration-mediated transient overexpression system and virus-induced gene silencing technology, BrMAPK15 was indicated to have a greater ability to defend against pathogens. MSTRG.19915-silenced seedlings showed enhanced resistance to downy mildew, probably because of the upregulated expression of BrMAPK15. This research identified and characterized long noncoding RNAs involved in resistance to downy mildew, laying a foundation for future in-depth studies of disease resistance mechanisms in Chinese cabbage.
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Affiliation(s)
- Bin Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Yunyun Cao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Dayong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China.
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China.
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China.
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), 100097, Beijing, China.
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, 100097, Beijing, China.
- Beijing Key Laboratory of Vegetable Germplasm Improvement, 100097, Beijing, China.
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Li P, Su T, Zhang D, Wang W, Xin X, Yu Y, Zhao X, Yu S, Zhang F. Genome-wide analysis of changes in miRNA and target gene expression reveals key roles in heterosis for Chinese cabbage biomass. Hortic Res 2021; 8:39. [PMID: 33642594 PMCID: PMC7917107 DOI: 10.1038/s41438-021-00474-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 12/05/2020] [Accepted: 12/12/2020] [Indexed: 05/12/2023]
Abstract
Heterosis is a complex phenomenon in which hybrids show better phenotypic characteristics than their parents do. Chinese cabbage (Brassica rapa L. spp. pekinensis) is a popular leafy crop species, hybrids of which are widely used in commercial production; however, the molecular basis of heterosis for biomass of Chinese cabbage is poorly understood. We characterized heterosis in a Chinese cabbage F1 hybrid cultivar and its parental lines from the seedling stage to the heading stage; marked heterosis of leaf weight and biomass yield were observed. Small RNA sequencing revealed 63 and 50 differentially expressed microRNAs (DEMs) at the seedling and early-heading stages, respectively. The expression levels of the majority of miRNA clusters in the F1 hybrid were lower than the mid-parent values (MPVs). Using degradome sequencing, we identified 1,819 miRNA target genes. Gene ontology (GO) analyses demonstrated that the target genes of the MPV-DEMs and low parental expression level dominance (ELD) miRNAs were significantly enriched in leaf morphogenesis, leaf development, and leaf shaping. Transcriptome analysis revealed that the expression levels of photosynthesis and chlorophyll synthesis-related MPV-DEGs (differentially expressed genes) were significantly different in the F1 hybrid compared to the parental lines, resulting in increased photosynthesis capacity and chlorophyll content in the former. Furthermore, expression of genes known to regulate leaf development was also observed at the seedling stage. Arabidopsis plants overexpressing BrGRF4.2 and bra-miR396 presented increased and decreased leaf sizes, respectively. These results provide new insight into the regulation of target genes and miRNA expression patterns in leaf size and heterosis for biomass of B. rapa.
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Affiliation(s)
- Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, 100097, China.
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China.
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China.
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, 100097, China.
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China.
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China.
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22
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Xin X, Su T, Li P, Wang W, Zhao X, Yu Y, Zhang D, Yu S, Zhang F. A histone H4 gene prevents drought-induced bolting in Chinese cabbage by attenuating the expression of flowering genes. J Exp Bot 2021; 72:623-635. [PMID: 33005948 DOI: 10.1093/jxb/eraa452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Accepted: 09/29/2020] [Indexed: 06/11/2023]
Abstract
Flowering is an important trait in Chinese cabbage, because premature flowering reduces yield and quality of the harvested products. Water deficit, caused by drought or other environmental conditions, induces early flowering. Drought resistance involves global reprogramming of transcription, hormone signaling, and chromatin modification. We show that a histone H4 protein, BrHIS4.A04, physically interacts with a homeodomain protein BrVIN3.1, which was selected during the domestication of late-bolting Chinese cabbage. Over-expression of BrHIS4.A04 resulted in premature flowering under normal growth conditions, but prevented further premature bolting in response to drought. We show that the expression of key abscisic acid (ABA) signaling genes, and also photoperiodic flowering genes was attenuated in BrHIS4.A04-overexpressing (BrHIS4.A04OE) plants under drought conditions. Furthermore, the relative change in H4-acetylation at these gene loci was reduced in BrHIS4.A04OE plants. We suggest that BrHIS4.A04 prevents premature bolting by attenuating the expression of photoperiodic flowering genes under drought conditions, through the ABA signaling pathway. Since BrHIS4.A04OE plants displayed no phenotype related to vegetative or reproductive development under laboratory-induced drought conditions, our findings contribute to the potential fine-tuning of flowering time in crops through genetic engineering without any growth penalty, although more data are necessary under field drought conditions.
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Affiliation(s)
- Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
| | - Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- National Engineering Research Center for Vegetables, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
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23
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Kumar R, Yee ML, Goh GB, Chia PY, Lee HL, Xin X, Teo PS, Ekstrom VS, Tan JY, Cheah MC, Wang YT, Chang JP, Tan CK, Tan HK, Krishnamoorthy TL, Chow WC. Virtual monitoring for stable chronic hepatitis B patients does not reduce adherence to medications: A randomised controlled study. J Telemed Telecare 2021; 29:261-270. [PMID: 33461398 DOI: 10.1177/1357633x20980298] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
INTRODUCTION Chronic hepatitis B (CHB) remains common in endemic regions, causing significant healthcare burden. Patients with CHB may need to be adherent to nucleoside analogue (NA) for a long period of time to prevent complications. This study aims to investigate the safety, efficacy and patient experience of a virtual monitoring clinic (VMC) in monitoring stable patients taking NA for CHB. METHODS Patients on NA and regular follow-up were randomised to either VMC alternating with doctors' clinic visit or to a control group in which they continued standard follow-up by doctors. Therapy adherence was measured by medication possession ratio (MPR) for NA therapy, incidence of virological breakthrough and hepatocellular carcinoma (HCC) development at two years of follow-up. Patient acceptance was measured on a Likert scale of 1-10. RESULTS A total 192 patients completed follow-up: 94 and 98 patients in the VMC and control groups, respectively. Mean age was 60.6 ± 10.8 years, with 95.3% Chinese ethnicity and 64.1% males. Age, gender, race, educational, employment and financial status were similar in both groups. Upon study completion, the majority of patients - 76 (80.9%) in VMC group and 74 (75.5%) in control group - had MPR ≥0.8; 88.8% were satisfied and rated VMC better than a traditional follow-up clinic with doctors only. More than 85% of patients rated ≥8/10 on the Likert scale for VMC, and preferred VMC over traditional clinic visits. Clinical outcomes observed were HCC development in one (1.1%) in the VMC group and four (4.1%) in the control group (p = 0.369). Two (2.1%) and one (1.0%) virological breakthroughs were observed in the VMC and control groups, respectively (p = 0.615). No incidence of HCC or abnormal blood tests were missed in the VMC arm. DISCUSSION VMC is a viable and safe clinical model for monitoring stable CHB patients on NA therapy without compromising patients' adherence to medications and is preferred by patients.
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Affiliation(s)
- Rajneesh Kumar
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Mei-Ling Yee
- Department of Pharmacy, Singapore General Hospital, Singapore
| | - George Bb Goh
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Pei-Yuh Chia
- Department of Nursing, Singapore General Hospital, Singapore
| | - Hwei-Ling Lee
- Department of Nursing, Singapore General Hospital, Singapore
| | - X Xin
- Health Services Research Unit, Research Office, Singapore General Hospital, Singapore
| | - Pek Se Teo
- Health Services Research Unit, Research Office, Singapore General Hospital, Singapore
| | - Victoria Sm Ekstrom
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Jin Yt Tan
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Mark Cc Cheah
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Yu T Wang
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Jason Pe Chang
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Chee-Keat Tan
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Hiang Keat Tan
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Thinesh L Krishnamoorthy
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Wan-Cheng Chow
- Department of Gastroenterology and Hepatology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
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24
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Qin S, Bi F, Cui C, Zhu B, Wu J, Xin X, Wang J, Shan J, Chen J, Zheng Z, Xu L, Wen X, You Z, Ren Z, Wu X. 982P Comparison of donafenib and sorafenib as advanced hepatocellular carcinoma first-line treatments: Subgroup analysis of an open-label, randomized, parallel-controlled, multicentre phase II/III trial. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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25
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Li P, Su T, Zhang B, Li P, Xin X, Yue X, Cao Y, Wang W, Zhao X, Yu Y, Zhang D, Yu S, Zhang F. Identification and fine mapping of qSB.A09, a major QTL that controls shoot branching in Brassica rapa ssp. chinensis Makino. Theor Appl Genet 2020; 133:1055-1068. [PMID: 31919538 DOI: 10.1007/s00122-020-03531-1] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 01/02/2020] [Indexed: 06/10/2023]
Abstract
QTL mapping plus bulked segregant analysis revealed a major QTL for shoot branching in non-heading Chinese cabbage. The candidate gene was then identified using sequence alignment and expression analysis. Shoot branching is a complex quantitative trait that contributes to plant architecture and ultimately yield. Although many studies have examined branching in grain crops, the genetic control of shoot branching in vegetable crops such as Brassica rapa L. ssp. chinensis remains poorly understood. In this study, we used bulked segregant analysis (BSA) of an F2 population to detect a major quantitative trait locus (QTL) for shoot branching, designated shoot branching 9 (qSB.A09) on the long arm of chromosome A09 in Brassica rapa L. ssp. chinensis. In addition, traditional QTL mapping of the F2 population revealed six QTLs in different regions. Of these, the mapping region on chromosome A09 was consistent with the results of BSA-seq analysis, as well as being stable over the 2-year study period, explaining 19.37% and 22.18% of the phenotypic variation across multiple genetic backgrounds. Using extreme recombinants, qSB.A09 was further delimited to a 127-kb genomic region harboring 28 annotated genes. We subsequently identified the GRAS transcription factor gene Bra007056 as a potential candidate gene; Bra007056 is an ortholog of MONOCULM 1 (MOC1), the key gene that controls tillering in rice. Quantitative RT-PCR further revealed that expression of Bra007056 was positively correlated with the shoot branching phenotype. Furthermore, an insertion/deletion marker specific to Bra007056 co-segregated with the shoot branching trait in the F2 populations. Overall, these results provide the basis for elucidating the molecular mechanism of shoot branching in Brassica rapa ssp. chinensis Makino.
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Affiliation(s)
- Pan Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Bin Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Xiaozhen Yue
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Yunyun Cao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China.
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China.
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China.
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, 100097, China.
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, 100097, China.
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, China.
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26
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Johnson J, Kia C, Morikawa D, Mehl J, Imhoff F, Otto A, Muench L, Wolf M, Baldino J, Xin X, McCarthy M, Mazzocca A. Histological and Biomechanical Evaluation of Biologic Adjuvants in a Murine Tendon Bone Healing Model. Muscles Ligaments Tendons J 2019. [DOI: 10.32098/mltj.04.2019.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- J. Johnson
- University of Connecticut Health Center, Farmington CT, USA
| | - C. Kia
- University of Connecticut Health Center, Farmington CT, USA
| | - D. Morikawa
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Surgery, Juntendo University, Tokyo, Japan
| | - J. Mehl
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Sports Surgery, Technical University of Munich, Munich, Germany
| | - F.B. Imhoff
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Sports Surgery, Technical University of Munich, Munich, Germany
- Department of Orthopedics, Balgrist University Hospital, Zurich, Switzerland
| | - A. Otto
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Sports Surgery, Technical University of Munich, Munich, Germany
| | - L.N. Muench
- University of Connecticut Health Center, Farmington CT, USA
- Department of Orthopaedic Sports Surgery, Technical University of Munich, Munich, Germany
| | - M. Wolf
- University of Connecticut Health Center, Farmington CT, USA
| | - J.B. Baldino
- University of Connecticut Health Center, Farmington CT, USA
| | - X. Xin
- University of Connecticut Health Center, Farmington CT, USA
| | - M.B. McCarthy
- University of Connecticut Health Center, Farmington CT, USA
| | - A.D. Mazzocca
- University of Connecticut Health Center, Farmington CT, USA
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27
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Zhao Y, Ma J, Wang P, Li J, Liao X, Xin X, Xu J, Orlandini L. Impact of Positioning Errors on Dose Coverage for Breath-Hold Left-Sided Breast Treatments. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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28
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Yang A, Xin X, Yang W, Li M, Yang W, Li L, Liu X. Etanercept reduces anxiety and depression in psoriasis patients, and sustained depression correlates with reduced therapeutic response to etanercept. Ann Dermatol Venereol 2019; 146:363-371. [PMID: 31047699 DOI: 10.1016/j.annder.2019.03.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 01/01/2019] [Accepted: 03/06/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND The purpose of this study was to explore the correlation of anxiety and depression with therapeutic response to etanercept in psoriasis patients. PATIENTS AND METHODS One hundred and thirty-three patients with moderate-to-severe plaque psoriasis undergoing etanercept treatment were consecutively enrolled in this prospective cohort study, with all patients receiving etanercept treatment for 6 months. Psoriasis Area and Severity Index (PASI) score was evaluated at baseline (M0) and at month 1 (M1), M3 and M6 after treatment, and PASI 75/90 responses were calculated. The Hospital Anxiety and Depression Scale-Anxiety (HADS-A) score and the HADS-Depression (HADS-D) score were used to evaluate patients' anxiety and depression at M0, M1, M3 and M6. Sustained anxiety/depression were defined as HADS-A/D score≥8points both at M0 and M1. RESULTS Female gender and higher PASI score were associated with high risk of anxiety, while female gender, higher PASI score and longer disease duration were correlated with increased depression risk. After 6 months of etanercept treatment, 65.4% and 36.1% patients achieved PASI 75 and PASI 90 responses respectively, and both HADS-A and HADS-D scores were decreased. Most importantly, no correlation of baseline anxiety and depression with PASI 75 or PASI 90 response after 6 months of treatment was noted, while sustained depression, though not sustained anxiety, was observed to be correlated with decreased PASI 75 and PASI 90 responses. CONCLUSIONS Etanercept reduces anxiety and depression in psoriasis patients, and sustained depression correlates with reduced therapeutic response to etanercept.
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Affiliation(s)
- A Yang
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - X Xin
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - W Yang
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - M Li
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - W Yang
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - L Li
- Department of Dermatology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - X Liu
- Department of Nursing, The 2nd Affiliated Hospital of Harbin Medical University, 246, Xuefu road, 150001 Harbin, China.
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29
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Chen C, Xu X, Kong L, Li P, Zhou F, Zhao S, Xin X, Tan J, Zhang X. Novel homozygous nonsense mutations in LHCGR lead to empty follicle syndrome and 46, XY disorder of sex development. Hum Reprod 2019; 33:1364-1369. [PMID: 29912377 DOI: 10.1093/humrep/dey215] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 05/31/2018] [Indexed: 11/14/2022] Open
Abstract
Empty follicle syndrome (EFS) is a disorder associated with female infertility and presents as a complete failure to retrieve oocytes during ART cycles despite normal follicle development and careful aspiration. To date, only two EFS cases have been reported with homozygous missense mutations in the luteinizing hormone/chorionic gonadotropin receptor (LHCGR) gene, and both cases showed normal estradiol (E2) production during ovulation induction. The molecular genetic mechanisms of EFS remain unknown. Herein, we report two novel homozygous inactivating LHCGR mutations, c.736 C>T (p.Q246*) and c.846dupT (p.R283*), in two female EFS patients from unrelated consanguineous families. The probands had impaired E2 production during the ART process, which differs from previously reported EFS cases. The inactivating mutations not only led to EFS in the two female probands, but also resulted in 46, XY disorder of sex development (46, XY DSD) in their male siblings. As far as we know, this is the first report of LHCGR mutations leading to both EFS and 46, XY DSD within the same pedigree. Our findings provide researchers and clinicians with a better understanding of phenotype-genotype correlations between EFS and 46, XY DSD and the LHCGR gene.
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Affiliation(s)
- C Chen
- The Research Center for Medical Genomics, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, College of Basic Medical Science, China Medical University, No. 77 Puhe Road, North New Area, Shenyang, China
| | - X Xu
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - L Kong
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - P Li
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - F Zhou
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - S Zhao
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - X Xin
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - J Tan
- Reproductive Medical Center of Gynecology and Obstetrics, Shengjing Hospital Affiliated to China Medical University, No. 39 Huaxiang Road, Tiexi, Shenyang, China
| | - X Zhang
- The Research Center for Medical Genomics, Key Laboratory of Cell Biology, Ministry of Public Health, Key Laboratory of Medical Cell Biology, Ministry of Education, College of Basic Medical Science, China Medical University, No. 77 Puhe Road, North New Area, Shenyang, China
- McKusick-Zhang Center for Genetic Medicine, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, No. 5 Dongdan Santiao, Beijing, China
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30
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Zhang B, Li P, Su T, Li P, Xin X, Wang W, Zhao X, Yu Y, Zhang D, Yu S, Zhang F. BrRLP48, Encoding a Receptor-Like Protein, Involved in Downy Mildew Resistance in Brassica rapa. Front Plant Sci 2018; 9:1708. [PMID: 30532761 PMCID: PMC6265505 DOI: 10.3389/fpls.2018.01708] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Accepted: 11/02/2018] [Indexed: 05/23/2023]
Abstract
Downy mildew, caused by Hyaloperonospora parasitica, is a major disease of Brassica rapa that causes large economic losses in many B. rapa-growing regions of the world. The genotype used in this study was based on a double haploid population derived from a cross between the Chinese cabbage line BY and a European turnip line MM, susceptible and resistant to downy mildew, respectively. We initially located a locus Br-DM04 for downy mildew resistance in a region about 2.7 Mb on chromosome A04, which accounts for 22.3% of the phenotypic variation. Using a large F2 mapping population (1156 individuals) we further mapped Br-DM04 within a 160 kb region, containing 17 genes encoding proteins. Based on sequence annotations for these genes, four candidate genes related to disease resistance, BrLRR1, BrLRR2, BrRLP47, and BrRLP48 were identified. Overexpression of both BrRLP47 and BrRLP48 using a transient expression system significantly enhanced the downy mildew resistance of the susceptible line BY. But only the leaves infiltrated with RNAi construct of BrRLP48 could significantly reduce the disease resistance in resistant line MM. Furthermore, promoter sequence analysis showed that one salicylic acid (SA) and two jasmonic acid-responsive transcript elements were found in BrRLP48 from the resistant line, but not in the susceptible one. Real-time PCR analysis showed that the expression level of BrRLP48 was significantly induced by inoculation with downy mildew or SA treatment in the resistant line MM. Based on these findings, we concluded that BrRLP48 was involved in disease resistant response and the disease-inducible expression of BrRLP48 contributed to the downy mildew resistance. These findings led to a new understanding of the mechanisms of resistance and lay the foundation for marker-assisted selection to improve downy mildew resistance in Brassica rapa.
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Affiliation(s)
- Bin Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Pan Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Sciences (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
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31
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Su T, Wang W, Li P, Zhang B, Li P, Xin X, Sun H, Yu Y, Zhang D, Zhao X, Wen C, Zhou G, Wang Y, Zheng H, Yu S, Zhang F. A Genomic Variation Map Provides Insights into the Genetic Basis of Spring Chinese Cabbage (Brassica rapa ssp. pekinensis) Selection. Mol Plant 2018; 11:1360-1376. [PMID: 30217779 DOI: 10.1016/j.molp.2018.08.006] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 08/22/2018] [Accepted: 08/31/2018] [Indexed: 05/08/2023]
Abstract
Chinese cabbage is the most consumed leafy crop in East Asian countries. However, premature bolting induced by continuous low temperatures severely decreases the yield and quality of the Chinese cabbage, and therefore restricts its planting season and geographic distribution. In the past 40 years, spring Chinese cabbage with strong winterness has been selected to meet the market demand. Here, we report a genome variation map of Chinese cabbage generated from the resequencing data of 194 geographically diverse accessions of three ecotypes. In-depth analyses of the selection sweeps and genome-wide patterns revealed that spring Chinese cabbage was selected from a specific population of autumn Chinese cabbage around the area of Shandong peninsula in northern China. We identified 23 genomic loci that underwent intensive selection, and further demonstrated by gene expression and haplotype analyses that the incorporation of elite alleles of VERNALISATION INSENTIVE 3.1 (BrVIN3.1) and FLOWER LOCUS C 1 (BrFLC1) is a determinant genetic source of variation during selection. Moreover, we showed that the quantitative response of BrVIN3.1 to cold due to the sequence variations in the cis elements of the BrVIN3.1 promoter significantly contributes to bolting-time variation in Chinese cabbage. Collectively, our study provides valuable insights into the genetic basis of spring Chinese cabbage selection and will facilitate the breeding of bolting-resistant varieties by molecular-marker-assisted selection, transgenic or gene editing approaches.
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Affiliation(s)
- Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Department of Crop Genetics, John Innes Centre, Norwich NR4 7UH, UK; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Bin Zhang
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Pan Li
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China
| | - Honghe Sun
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Changlong Wen
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China
| | - Gang Zhou
- Biomarker Technologies Corporation, Beijing, China
| | - Yuntong Wang
- Biomarker Technologies Corporation, Beijing, China
| | | | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China.
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing 100097, China; Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing 100097, China; Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing 100097, China.
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32
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Li J, Xin X, Tang B, Wang P, Kang S, Liao X, Piermattei A, Orlandini L. Efficacy of Epid-Based In Vivo Dosimetry and Calibrated CBCT Images for a Timely Lung Cancer Replanning. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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33
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Lu D, Dong X, Feng S, Liu X, Shi X, Wu H, Diao D, Ren P, Cai R, Huang Z, Wang H, Cai K, Xin X, Ji H, Wang Z, Hong C, Sun Y, Yu X. P1.05-09 Dielectric Property Test for the Rapid Differential Diagnosis of Lung Nodules/Mass. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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34
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Hu Z, Lu SJ, Wang MJ, He H, Sun L, Wang H, Liu XH, Jiang L, Sun JL, Xin X, Kong W, Chu C, Xue HW, Yang J, Luo X, Liu JX. A Novel QTL qTGW3 Encodes the GSK3/SHAGGY-Like Kinase OsGSK5/OsSK41 that Interacts with OsARF4 to Negatively Regulate Grain Size and Weight in Rice. Mol Plant 2018; 11:736-749. [PMID: 29567449 DOI: 10.1016/j.molp.2018.03.005] [Citation(s) in RCA: 145] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2017] [Revised: 03/06/2018] [Accepted: 03/07/2018] [Indexed: 05/18/2023]
Abstract
Grain size and shape are important determinants of grain weight and yield in rice. Here, we report a new major quantitative trait locus (QTL), qTGW3, that controls grain size and weight in rice. This locus, qTGW3, encodes OsSK41 (also known as OsGSK5), a member of the GLYCOGEN SYNTHASE KINASE 3/SHAGGY-like family. Rice near-isogenic lines carrying the loss-of-function allele of OsSK41 have increased grain length and weight. We demonstrate that OsSK41 interacts with and phosphorylates AUXIN RESPONSE FACTOR 4 (OsARF4). Co-expression of OsSK41 with OsARF4 increases the accumulation of OsARF4 in rice protoplasts. Loss of function of OsARF4 results in larger rice grains. RNA-sequencing analysis suggests that OsARF4 and OsSK41 repress the expression of a common set of downstream genes, including some auxin-responsive genes, during rice grain development. The loss-of-function form of OsSK41 at qTGW3 represents a rare allele that has not been extensively utilized in rice breeding. Suppression of OsSK41 function by either targeted gene editing or QTL pyramiding enhances rice grain size and weight. Thus, our study reveals the important role of OsSK41 in rice grain development and provides new candidate genes for genetic improvement of grain yield in rice and perhaps in other cereal crops.
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Affiliation(s)
- Zejun Hu
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China; Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Jiangxi Agricultural University, Nanchang 330045, China
| | - Sun-Jie Lu
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Mei-Jing Wang
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Haohua He
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education, Jiangxi Agricultural University, Nanchang 330045, China
| | - Le Sun
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Hongru Wang
- State Key Laboratory of Plant Genomics, National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xue-Huan Liu
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Ling Jiang
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Jing-Liang Sun
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Xiaoyun Xin
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Wei Kong
- National Key Laboratory of Plant Molecular Genetics, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Chengcai Chu
- State Key Laboratory of Plant Genomics, National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Hong-Wei Xue
- National Key Laboratory of Plant Molecular Genetics, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Jinshui Yang
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China
| | - Xiaojin Luo
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China.
| | - Jian-Xiang Liu
- State Key Laboratory of Genetic Engineering, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200433, China; State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310027, China.
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35
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Xin X. EP-1938: Comparative study of Auto plan and manual plan for nasopharyngeal carcinoma IMRT radiotherapy. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)32247-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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36
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Wu J, Wang B, Xin X, Ren D. Protein Kinases in Shaping Plant Architecture. Curr Protein Pept Sci 2018; 19:390-400. [DOI: 10.2174/1389203718666170209151651] [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: 06/30/2016] [Revised: 10/28/2016] [Accepted: 02/01/2017] [Indexed: 11/22/2022]
Affiliation(s)
- Juan Wu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Bo Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Xiaoyun Xin
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Dongtao Ren
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
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37
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Wang J, Wang S, Hu K, Yang J, Xin X, Zhou W, Fan J, Cui F, Mou B, Zhang S, Wang G, Sun W. The Kinase OsCPK4 Regulates a Buffering Mechanism That Fine-Tunes Innate Immunity. Plant Physiol 2018; 176:1835-1849. [PMID: 29242377 PMCID: PMC5813524 DOI: 10.1104/pp.17.01024] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 12/12/2017] [Indexed: 05/06/2023]
Abstract
The calcium-dependent protein kinase OsCPK4 has been demonstrated to play important roles in salt and drought tolerance, plant growth, and development in rice (Oryza sativa). However, little is known about molecular mechanisms underlying OsCPK4 function in rice immunity. In this study, we demonstrated that the generation of oxidative burst and pathogenesis-related gene expression triggered by microbe-associated molecular patterns were significantly enhanced in the oscpk4 mutants. These mutant lines are more resistant to bacterial blight and fungal blast diseases than the wild-type plants, indicating that OsCPK4 negatively regulates innate immunity in rice. OsCPK4 was further identified to interact with a receptor-like cytoplasmic kinase OsRLCK176. OsRLCK176 accumulation is negatively regulated by OsCPK4. Interestingly, the kinase-dead OsCPK4 promotes OsRLCK176 degradation more strongly than the wild-type protein. OsCPK4 and OsRLCK176 mutually phosphorylate each other and form a feedback loop. Moreover, the kinase activity and phosphorylation of OsCPK4 and OsRLCK176 contribute to the stability of OsRLCK176. These findings indicate that the kinase-inactive OsCPK4 promotes OsRLCK176 degradation and restricts plant defenses, whereas the activation of OsCPK4-OsRLCK176 phosphorylation circuit invalidates the OsRLCK176 degradation machinery, thus enhancing plant immunity. Collectively, the study proposes a novel defense buffering mechanism mediated by OsCPK4, which fine-tunes microbe-associated molecular pattern-triggered immunity in rice.
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Affiliation(s)
- Jiyang Wang
- Department of Plant Pathology and the Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China
| | - Shanzhi Wang
- Department of Plant Pathology and the Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China
| | - Ke Hu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Jun Yang
- Rice Research Institute, Shandong Academy of Agricultural Science, Jinan 250100, Shandong Province, China
| | - Xiaoyun Xin
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Wenqing Zhou
- Department of Plant Pathology and the Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China
| | - Jiangbo Fan
- Department of Plant Pathology, Ohio State University, Columbus, Ohio 43210
| | - Fuhao Cui
- Department of Plant Pathology and the Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China
| | - Baohui Mou
- Department of Plant Pathology and the Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China
| | - Shiyong Zhang
- Rice Research Institute, Shandong Academy of Agricultural Science, Jinan 250100, Shandong Province, China
| | - Guoliang Wang
- Department of Plant Pathology, Ohio State University, Columbus, Ohio 43210
| | - Wenxian Sun
- Department of Plant Pathology and the Ministry of Agriculture Key Laboratory of Pest Monitoring and Green Management, China Agricultural University, Beijing 100193, China
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38
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Xin X, Chen W, Wang B, Zhu F, Li Y, Yang H, Li J, Ren D. Arabidopsis MKK10-MPK6 mediates red-light-regulated opening of seedling cotyledons through phosphorylation of PIF3. J Exp Bot 2018; 69:423-439. [PMID: 29244171 PMCID: PMC5853512 DOI: 10.1093/jxb/erx418] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 10/31/2017] [Indexed: 05/21/2023]
Abstract
Photomorphogenesis is an important process in which seedlings emerge from soil and begin autotrophic growth. Mechanisms of photomorphogenesis include light signal perception, signal transduction, and the modulation of expression of light-responsive genes, ultimately leading to cellular and developmental changes. Phytochrome-interacting factors (PIFs) play negative regulatory roles in photomorphogenesis. Light-induced activation of phytochromes triggers rapid phosphorylation and degradation of PIFs, but the kinases responsible for the phosphorylation of PIFs are largely unknown. Here, we show that Arabidopsis MPK6 is a kinase involved in phosphorylating PIF3 and regulating red light-induced cotyledon opening, a crucial process during seedling photomorphogenesis. MPK6 was activated by red light, and the cotyledon opening angle in red light was reduced in mpk6 seedlings. MKK10, a MAPKK whose function is currently unclear, appears to act as a kinase upstream of MPK6 in regulating cotyledon opening. Activation of MPK6 by MKK10 led to the phosphorylation of PIF3 and accelerated its turnover in transgenic seedlings. Accordingly, the overexpression of PIF3 suppressed MKK10-induced cotyledon opening. MKK10 and MPK6 function downstream of phyB in regulating seedling cotyledon opening in red light. Therefore, the MKK10-MPK6 cascade appears to mediate the regulation of red-light-controlled seedling photomorphogenesis via a mechanism that might involve the phosphorylation of PIF3.
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Affiliation(s)
- Xiaoyun Xin
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, China
| | - Wenhao Chen
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, China
| | - Bo Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, China
| | - Fan Zhu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, China
| | - Yuan Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, China
| | - Hailian Yang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, China
| | - Jigang Li
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, China
| | - Dongtao Ren
- State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, China
- Collaborative Innovation Center of Crop Stress Biology, China
- Correspondence:
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39
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Li P, Zhang B, Su T, Li P, Xin X, Wang W, Zhao X, Yu Y, Zhang D, Yu S, Zhang F. BrLAS, a GRAS Transcription Factor From Brassica rapa, Is Involved in Drought Stress Tolerance in Transgenic Arabidopsis. Front Plant Sci 2018; 9:1792. [PMID: 30574156 PMCID: PMC6291521 DOI: 10.3389/fpls.2018.01792] [Citation(s) in RCA: 14] [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] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Accepted: 11/19/2018] [Indexed: 05/20/2023]
Abstract
GRAS proteins belong to a plant-specific transcription factor family and play roles in diverse physiological processes and environmental signals. In this study, we identified and characterized a GRAS transcription factor gene in Brassica rapa, BrLAS, an ortholog of Arabidopsis AtLAS. BrLAS was primarily expressed in the roots and axillary meristems, and localized exclusively in the nucleus of B. rapa protoplast cells. qRT-PCR analysis indicated that BrLAS was upregulated by exogenous abscisic acid (ABA) and abiotic stress treatment [polyethylene glycol (PEG), NaCl, and H2O2]. BrLAS-overexpressing Arabidopsis plants exhibited pleiotropic characteristics, including morphological changes, delayed bolting and flowering time, reduced fertility and delayed senescence. Transgenic plants also displayed significantly enhanced drought resistance with decreased accumulation of ROS and increased antioxidant enzyme activity under drought treatment compared with the wild-type. Increased sensitivity to exogenous ABA was also observed in the transgenic plants. qRT-PCR analysis further showed that expression of several genes involved in stress responses and associated with leaf senescence were also modified. These findings suggest that BrLAS encodes a stress-responsive GRASs transcription factor that positively regulates drought stress tolerance, suggesting a role in breeding programs aimed at improving drought tolerance in plants.
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Affiliation(s)
- Pan Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
| | - Bin Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
| | - Tongbing Su
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
| | - Peirong Li
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
| | - Xiaoyun Xin
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
| | - Weihong Wang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
| | - Xiuyun Zhao
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
| | - Yangjun Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
| | - Deshuang Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
| | - Shuancang Yu
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- *Correspondence: Shuancang Yu, Fenglan Zhang,
| | - Fenglan Zhang
- Beijing Vegetable Research Center (BVRC), Beijing Academy of Agriculture and Forestry Science (BAAFS), Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture, Beijing, China
- *Correspondence: Shuancang Yu, Fenglan Zhang,
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Tan Y, Xin X, Ming Q. Prevalence and characteristics of overweight and obesity among Chinese youth aged 12-18 years: a multistage nationwide survey. Public Health 2017; 155:152-159. [PMID: 29180035 DOI: 10.1016/j.puhe.2017.08.015] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Revised: 08/09/2017] [Accepted: 08/28/2017] [Indexed: 11/19/2022]
Abstract
OBJECTIVE The aims of the current study were to assess the prevalence of overweight and obesity by four different references and to explore the characteristics of adolescent overweight and obesity in Chinese secondary school students aged 12-18 years. STUDY DESIGN A cross-sectional study was conducted in this study. METHODS Using stratified random cluster sampling, 8999 secondary school students were enrolled. The references developed by Must and Dallal and Dietz, the Childhood Obesity Working Group of the International Obesity Task Force, the US Centers for Disease Control and Prevention, and the Group of China Obesity Task Force (GCOTF reference) were used to identify overweight and obese students. RESULTS The prevalence of adolescent overweight and obesity vary substantially based on the four references. The prevalence of adolescent overweight and obesity based on GCOTF reference are 8.4% and 4.1%, respectively, which is significantly lower than the prevalence of overweight and obesity in their peers in 2000 (χ2 = 24.03, P < 0.01). The prevalence of overweight and obesity in boys are 12.0% and 5.7%, which are higher than those in girls, 4.6% and 5.7% (χ2 = 240.68, P < 0.01). The prevalence of overweight and obesity in singletons are higher than those in non-singletons (χ2 = 40.25, P < 0.01). The prevalence of overweight and obesity in students with lower school community ladder of subjective social status are higher than those from higher ones (χ2 = 21.61, P < 0.01). CONCLUSION The GCOTF reference is more suitable for screening overweight and obesity in Chinese adolescents. The current prevalence rates of adolescent overweight and obesity decreased, and girls made a tremendous contribution to this decreasing trend. Singletons and adolescents in lower school community ladder of subjective socio-economic status may be at higher risk of getting overweight and obesity. More effective strategies with full consideration to the characteristics above should be developed to control and prevent adolescent overweight and obesity.
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Affiliation(s)
- Y Tan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China; College of Science and Technology, Hunan University of Technology, Zhuzhou, Hunan 412008, PR China.
| | - X Xin
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China; Medical Psychology Department, Clinical Medical College, Ningxia Medical University, Yinchuan, Ningxia 750004, PR China.
| | - Q Ming
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, PR China.
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Xin X, Huo SP, Zhang Q, Li YN, Wang L, Wang QJ. [Effects of preconditioning with hypertonic saline solution on postoperative delirium in the aged]. Zhonghua Yi Xue Za Zhi 2017; 97:3072-3078. [PMID: 29081151 DOI: 10.3760/cma.j.issn.0376-2491.2017.39.007] [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 evaluate and explore the mechanism of the effect of hypertonic pre-injection on postoperative delirium in the aged. Methods: From June 2016 to February 2017, participants scheduled hip arthroplasty surgery were randomly divided into four groups: Group 1 (H1) 30 patients pre-injected 4 ml/kg hypertonic solution were proceeded general anesthesia; Group 2 (H2) 30 patients pre-injected 4 ml/kg hypertonic solution were proceeded spinal canal anesthesia; Group 3 (C1) 30 patients pre-injected 4 ml/kg isotonic saline were proceeded general anesthesia; Group 4 (C2) 30 patients pre-injected 4 ml/kg isotonic saline were proceeded spinal canal anesthesia in Department of Anesthesiology, Third Hospital of Hebei Medical University.All these patients were operated after anesthesia.To avoid electrolyte disorder, the level of Na(+) , Ca(2+) , K(+) in the artery blood was analyzed.Peripheral venous blood was extracted to detect the concentration of inflammatory factors IL-1β, IL-6, IL-10, TNF-α and nerve injury factor S100β.In order to evaluate the relationship of these inflammatory fators with monocyte, we used flow cytometry to detect the number of mononuclear in peripheral venous blood.After operation 1 to 3 days, all these patients were assessed cognitive function by Nu-DESC. Results: Electrolytes fluctuationed in the normal range in four groups at different time points.Compared with before infusion, IL-6, IL-1β and TNF-α of four groups were significantly increased in postoperative.Compared with group H(H1 or H2), IL-1β, IL-6 and TNF-α were increased and IL-10 was decreased in group C(C1 or C2) after the surgery.S100β of group C(C1 and C2) was higher than before infusion.No significant changes were found in the cotykines mentioned above between group H1 and H2. The expression of monocytes CD14(+) CD16(+) /CD14(+ +) was decreased and the incidence of postoperative delirium was lower in group H than group C(13.3%, 10.0% vs 33.3%, 36.7%, P<0.05). Conclusion: Hypertonic saline can improve postoperative delirium of the aged and the mechanism may be related to the inhibition of monocyte cells secreting inflammatory factors.
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Affiliation(s)
- X Xin
- Department of Anesthesiology, Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
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Li J, Piermattei A, Wang P, Kang S, Xiao M, Tang B, Wang P, Xin X, Grusio M, Orlandini L. Setup in a Clinical Workflow and Results of In Vivo Dosimetry Procedure in an Overload Radiation Therapy Department. Int J Radiat Oncol Biol Phys 2017. [DOI: 10.1016/j.ijrobp.2017.06.2371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Qing L, Wei R, Chan L, Xiaoya Z, Xin X. Sensitivity of various body indices and visceral adiposity index in predicting metabolic syndrome among Chinese patients with adult growth hormone deficiency. J Endocrinol Invest 2017; 40:653-661. [PMID: 28233232 PMCID: PMC5443877 DOI: 10.1007/s40618-017-0621-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Accepted: 01/18/2017] [Indexed: 12/28/2022]
Abstract
AIM Adult growth hormone deficiency (AGHD) refers to decreased secretion of growth hormones in the adults, which is associated with increased clustering of conventional cardiovascular risk factors such as central obesity, insulin resistance and dyslipidemia. Metabolic syndrome (MetS), a recognized risk factor of cardiovascluar diseases, shares some clinical features. Given that the prevalence of MetS is on the rise in patients with AGHD, and that cardiovascular disease (CVD) is an important cause of morbidity and mortality in that population, the alternative, simple, non-invasive methods of assessing MetS among this population are needed. This study aims to determine the sensitivity of five anthropometric indices [Body mass index (BMI), Waist circumference (WC), Waist-to-hip ratio (WHR), Waist-to-height ratio (WHtR) and Visceral adiposity index (VAI)] in predicting metabolic syndrome in Chinese population-based patients with adult growth hormone deficiency. MATERIALS AND METHODS A total of 96 Chinese patients with adult growth hormone deficiency were included in this study. They were compared with equal number of apparently healthy persons with similar characteristics (matched with age and gender) to the previous group. Anthropometric measurements including weight, height, serum lipids indices, blood pressure (BP), fasting plasma glucose (FPG), WC were measured. BMI, WHR, WHtR, and VAI were calculated. RESULTS AND DISCUSSION AGHD patients with MetS had higher WC (91.00 ± 8.28 vs 78.01 ± 7.12), BMI (24.95 ± 2.91 VS 23.30 ± 2.80), WHR (0.92 ± 0.06 VS 0.87 ± 0.07), WHtR (0.53 ± 0.06 VS 0.47 ± 0.05), VAI [(5.59 (4.02, 7.55) VS 1.69 (0.87, 3.05)] levels in comparison to those without MetS. Meantime WC, BMI, WHR, WHtR, VAI was positively correlated to MetS components. ROC curve for participants with AGHD showed that VAI had the highest SS of 92% (BMI 0.812; WHR 0.706; WHtR 0.902; VAI 0.920, respectively) for prediction of MetS in AGHD. The optimal cutoff values for different adiposity markers in predicting MetS were as follows: WC (79.65), BMI (23.46); WHR (0.89); WHtR (0.54); VAI (2.29). CONCLUSION In conclusion, our study showed all adiposity measures of interest present themselves as easy and practical tools for use in population studies and clinical practice for evaluating MetS in AGDH and VAI was identified as the best in Chinese AGHD patients among them.
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Affiliation(s)
- L Qing
- Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China
| | - R Wei
- Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China.
| | - L Chan
- Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China
| | - Z Xiaoya
- Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China
| | - X Xin
- Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China
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Li J, Piermattei A, Wang P, Kang S, Xiao M, Tang B, Liao X, Xin X, Orlandini L. EP-1654: Clinical set up and first results of EPID in vivo dosimetry in an overload Chinese Radiotherapy. Radiother Oncol 2017. [DOI: 10.1016/s0167-8140(17)32089-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Sachdev J, Maitland M, Sharma M, Moreno V, Boni V, Kummar S, Gibson B, Xuan D, Joh T, Powell E, Jackson-Fisher A, Damelin M, Xin X, Tolcher A, Calvo E. A phase 1 study of PF-06647020, an antibody-drug conjugate (ADC) targeting protein tyrosine kinase 7 (PTK7), in patients with advanced solid tumors including platinum resistant ovarian cancer (OVCA). Ann Oncol 2016. [DOI: 10.1093/annonc/mdw435.29] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Peng T, Pan Y, Gao X, Xi J, Zhang L, Yang C, Bi R, Yang S, Xin X, Shang Q. Cytochrome P450 CYP6DA2 regulated by cap 'n'collar isoform C (CncC) is associated with gossypol tolerance in Aphis gossypii Glover. Insect Mol Biol 2016; 25:450-9. [PMID: 27005728 DOI: 10.1111/imb.12230] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Cotton plants accumulate phytotoxins, such as gossypol and related sesquiterpene aldehydes, to resist insect herbivores. The survival of insects exposed to toxic secondary metabolites depends on the detoxification metabolism mediated by limited groups of cytochrome P450. Gossypol has an antibiotic effect on Aphis gossypii, and as the concentrations of gossypol were increased in the present study, the mortality of cotton aphids increased from 4 to 28%. The fecundity of the cotton aphids exposed to gossypol was also significantly reduced compared with the control. The transcriptional levels of CYP6DA2 in cotton aphids were significantly induced when exposed to gossypol, and knockdown of the CYP6DA2 transcripts by RNA interference (RNAi) significantly increased the toxicity of gossypol to cotton aphids. To further understand the gossypol regulatory cascade, the 5'-flanking promoter sequences of CYP6DA2 were isolated with a genome walker, and the promoter was very active and was inducible by gossypol. Co-transfection of the cap 'n' collar isoform C (CncC) and CYP6DA2 promoters dramatically increased the expression of CYP6DA2, and suppression of the CncC transcripts by RNAi significantly decreased the expression levels of CYP6DA2, and significantly increased the toxicity of gossypol to cotton aphids. Thus, the transcriptional regulation of CYP6DA2 involved the transcriptional factor CncC.
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Affiliation(s)
- T Peng
- College of Plant Science, Jilin University, Changchun, China
| | - Y Pan
- College of Plant Science, Jilin University, Changchun, China
| | - X Gao
- Department of Entomology, China Agricultural University, Beijing, China
| | - J Xi
- College of Plant Science, Jilin University, Changchun, China
| | - L Zhang
- Department of Entomology, China Agricultural University, Beijing, China
| | - C Yang
- College of Plant Science, Jilin University, Changchun, China
| | - R Bi
- College of Plant Science, Jilin University, Changchun, China
- Department of Entomology, Jilin Agricultural University, Changchun, China
| | - S Yang
- College of Plant Science, Jilin University, Changchun, China
| | - X Xin
- College of Plant Science, Jilin University, Changchun, China
| | - Q Shang
- College of Plant Science, Jilin University, Changchun, China
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Abstract
Phenotype is defined as the state of an organism resulting from interactions between genes, environment, disease, molecular mechanisms, and chance. The purpose of the emerging field of phenomics is to systematically determine and measure phenotypes across biology for the sake of understanding. Phenotypes can affect more than one cell type and life stage, so ideal phenotyping would include the state of every cell type within the context of both tissue architecture and the whole organism at each life stage. In medicine, high-resolution anatomic assessment of phenotype is obtained from histology. Histology's interpretative power, codified by Virchow as cellular pathology, is derived from its ability to discern diagnostic and characteristic cellular changes in diseased tissues. Cellular pathology is observed in every major human disease and relies on the ability of histology to detect cellular change in any cell type due to unbiased pan-cellular staining, even in optically opaque tissues. Our laboratory has shown that histology is far more sensitive than stereomicroscopy for detecting phenotypes in zebrafish mutants. Those studies have also shown that more complete sampling, greater consistency in sample orientation, and the inclusion of phenotypes extending over longer length scales would provide greater coverage of common phenotypes. We are developing technical approaches to achieve an ideal detection of cellular pathology using an improved form of X-ray microtomography that retains the strengths and addresses the weaknesses of histology as a screening tool. We are using zebrafish as a vertebrate model based on the overlaps between zebrafish and mammalian tissue architecture, and a body size small enough to allow whole-organism, volumetric imaging at cellular resolution. Automation of whole-organism phenotyping would greatly increase the value of phenomics. Potential societal benefits would include reduction in the cost of drug development, a reduction in the incidence of unexpected severe drug and environmental toxicity, and more rapid elucidation of the contributions of genes and the environment to phenotypes, including the validation of candidate disease alleles identified in population and personal genetics.
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Affiliation(s)
- K C Cheng
- The Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - S R Katz
- The Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - A Y Lin
- The Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - X Xin
- The Pennsylvania State University College of Medicine, Hershey, PA, United States
| | - Y Ding
- The Pennsylvania State University College of Medicine, Hershey, PA, United States
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Mu R, Yang J, Wang H, Xin X, Wei H, Zhang F, Li X, Dong J, Jia Y, Liu Y, Xiao F, Li Z. AB0289 Analysis of Joints Susceptible To Rheumatoid Arthritis (RA) and Their Recovery Sequence Based on DAS28 with Smart System of Disease Management (SSDM) in China: A Prospective Cohort Study. Ann Rheum Dis 2016. [DOI: 10.1136/annrheumdis-2016-eular.6171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Liu X, Xiao F, Yang J, Mu R, Wang H, Wei H, Xin X, Zhu Y, Zhang Y, Jia Y, Zhang L, Liu Y, Wang M, Li X. SAT0091 Major Clinical Characteristics of Chinese Rheumatoid Arthritis (RA) Patients with Smart System of Disease Management (SSDM) under Treat-To-Target (T2T) Recommendations. Ann Rheum Dis 2016. [DOI: 10.1136/annrheumdis-2016-eular.5352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Tolcher A, Calvo E, Maitland M, Gibson B, Xuan D, Joh T, Jackson-Fischer A, Damelin M, Barton J, Xin X, Sachdev J. 28LBA A phase 1 study of PF-06647020, an antibody-drug conjugate targeting PTK7, in patients with advanced solid tumors. Eur J Cancer 2015. [DOI: 10.1016/s0959-8049(16)31946-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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