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Li H, Zhang L, Li J, Wu Q, Qian L, He J, Ni Y, Kovatcheva-Datchary P, Yuan R, Liu S, Shen L, Zhang M, Sheng B, Li P, Kang K, Wu L, Fang Q, Long X, Wang X, Li Y, Ye Y, Ye J, Bao Y, Zhao Y, Xu G, Liu X, Panagiotou G, Xu A, Jia W. Resistant starch intake facilitates weight loss in humans by reshaping the gut microbiota. Nat Metab 2024; 6:578-597. [PMID: 38409604 DOI: 10.1038/s42255-024-00988-y] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 01/17/2024] [Indexed: 02/28/2024]
Abstract
Emerging evidence suggests that modulation of gut microbiota by dietary fibre may offer solutions for metabolic disorders. In a randomized placebo-controlled crossover design trial (ChiCTR-TTRCC-13003333) in 37 participants with overweight or obesity, we test whether resistant starch (RS) as a dietary supplement influences obesity-related outcomes. Here, we show that RS supplementation for 8 weeks can help to achieve weight loss (mean -2.8 kg) and improve insulin resistance in individuals with excess body weight. The benefits of RS are associated with changes in gut microbiota composition. Supplementation with Bifidobacterium adolescentis, a species that is markedly associated with the alleviation of obesity in the study participants, protects male mice from diet-induced obesity. Mechanistically, the RS-induced changes in the gut microbiota alter the bile acid profile, reduce inflammation by restoring the intestinal barrier and inhibit lipid absorption. We demonstrate that RS can facilitate weight loss at least partially through B. adolescentis and that the gut microbiota is essential for the action of RS.
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Affiliation(s)
- Huating Li
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong S.A.R., China.
- Department of Medicine, The University of Hong Kong, Hong Kong S.A.R., China.
| | - Lei Zhang
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Li
- Department of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong S.A.R., China
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany
| | - Qian Wu
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingling Qian
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junsheng He
- Department of Infectious Diseases and Public Health, City University of Hong Kong, Hong Kong S.A.R., China
| | - Yueqiong Ni
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
| | | | - Rui Yuan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Shuangbo Liu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
| | - Li Shen
- Department of Clinical Nutrition, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mingliang Zhang
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin Sheng
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Ping Li
- Department of Computing, The Hong Kong Polytechnic University, Hong Kong S.A.R., China
- School of Design, The Hong Kong Polytechnic University, Hong Kong S.A.R., China
| | - Kang Kang
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany
| | - Liang Wu
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qichen Fang
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoxue Long
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaolin Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Yanli Li
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Yaorui Ye
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Jianping Ye
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Metabolic Disease Research Center, Zhengzhou University Affiliated Zhengzhou Central Hospital, Zhengzhou, China
| | - Yuqian Bao
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yueliang Zhao
- College of Food Science and Technology, Shanghai Ocean University, Shanghai, China
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
| | - Gianni Panagiotou
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Jena, Germany.
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.
- Faculty of Biological Sciences, Friedrich Schiller University, Jena, Germany.
- Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong S.A.R., China.
| | - Aimin Xu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong S.A.R., China.
- Department of Medicine, The University of Hong Kong, Hong Kong S.A.R., China.
| | - Weiping Jia
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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2
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Qian L, Zhuang Z, Lu J, Wang H, Wang X, Yang S, Ji L, Shen Q, Zhang W, Shan T. Metagenomic survey of viral diversity obtained from feces of piglets with diarrhea. Heliyon 2024; 10:e25616. [PMID: 38375275 PMCID: PMC10875384 DOI: 10.1016/j.heliyon.2024.e25616] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 12/02/2023] [Accepted: 01/30/2024] [Indexed: 02/21/2024] Open
Abstract
Pigs are natural host to various zoonotic pathogens including viruses. In this study, we analyzed the viral communities in the feces of 89 piglets with diarrhea under one month old which were collected from six farms in Jiangsu Province of the Eastern China, using the unbiased virus metagenomic method. A total of 89 libraries were constructed, and 46937894 unique sequence reads were generated by Illumina sequencing. Overall, the family Picornaviridae accounted for the majority of the total reads of putative mammalian viruses. Ten novel virus genomes from different family members were discovered, including Parvoviridae (n = 2), Picobirnaviridae (n = 4) and CRESS DNA viruses (n = 4). A large number of phages were identified, which mainly belonged to the order Caudovirales and the family Microviridae. Moreover, some identified viruses were closely related to viruses found in non-porcine hosts, highlighting the potential for cross-species virus dissemination. This study increased our understanding of the fecal virus communities of diarrhea piglets and provided valuable information for virus monitoring and preventing.
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Affiliation(s)
- Lingling Qian
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Zi Zhuang
- Center of Clinical Laboratory, Dushu Lake Hospital Affiliated to Soochow University, Soochow University, Suzhou, Jiangsu, 215000, China
| | - Juan Lu
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Huiying Wang
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 200062, China
| | - Xiaochun Wang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Shixing Yang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Likai Ji
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Quan Shen
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Wen Zhang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Tongling Shan
- Department of Swine Infectious Disease, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, China
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Wu W, Chen Z, Han J, Qian L, Wang W, Lei J, Wang H. Endocrine, genetic, and microbiome nexus of obesity and potential role of postbiotics: a narrative review. Eat Weight Disord 2023; 28:84. [PMID: 37861729 PMCID: PMC10589153 DOI: 10.1007/s40519-023-01593-w] [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: 05/08/2023] [Accepted: 07/19/2023] [Indexed: 10/21/2023] Open
Abstract
Obesity is a public health crisis, presenting a huge burden on health care and the economic system in both developed and developing countries. According to the WHO's latest report on obesity, 39% of adults of age 18 and above are obese, with an increase of 18% compared to the last few decades. Metabolic energy imbalance due to contemporary lifestyle, changes in gut microbiota, hormonal imbalance, inherent genetics, and epigenetics is a major contributory factor to this crisis. Multiple studies have shown that probiotics and their metabolites (postbiotics) supplementation have an effect on obesity-related effects in vitro, in vivo, and in human clinical investigations. Postbiotics such as the SCFAs suppress obesity by regulating metabolic hormones such as GLP-1, and PPY thus reducing feed intake and suppressing appetite. Furthermore, muramyl di-peptides, bacteriocins, and LPS have been tested against obesity and yielded promising results in both human and mice studies. These insights provide an overview of targetable pharmacological sites and explore new opportunities for the safer use of postbiotics against obesity in the future.
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Affiliation(s)
- Weiming Wu
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, 215500, Jiangsu, People's Republic of China
| | - Zhengfang Chen
- Department of Endocrinology, Changshu First People's Hospital, Changshu, 215501, Jiangsu, People's Republic of China.
| | - Jiani Han
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, 215500, Jiangsu, People's Republic of China
| | - Lingling Qian
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, 215500, Jiangsu, People's Republic of China
| | - Wanqiu Wang
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, 215500, Jiangsu, People's Republic of China
| | - Jiacai Lei
- Department of Gastroenterology, Hangzhou Ninth People's Hospital, Hangzhou, 310005, Zhejiang, People's Republic of China
| | - Huaguan Wang
- Department of Gastroenterology, Hangzhou Ninth People's Hospital, Hangzhou, 310005, Zhejiang, People's Republic of China.
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Wen W, Qian L, Xie Y, Zhang X, Wang J, Zhou J, Liu R, Yu J, Chen D. Targeting XPO1 Combined with Radiotherapy to Enhance Systemic Anti-tumor Effects in Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e221-e222. [PMID: 37784904 DOI: 10.1016/j.ijrobp.2023.06.1124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The combination of radiation and radiosensitizing chemotherapeutic agents have shown promising anti-tumor effects in NSCLC. Acting as an oncogenic driver, XPO1 is frequently overexpressed and/or mutated in lung cancer. Thus, suppression of XPO1-mediated nuclear export presents a unique therapeutic strategy. We hypothesize that XPO1 inhibition combined with radiotherapy (XRT) may remodel the tumor immune microenvironment (TIME) and reduce radioresistance, thus enhance systemic anti-tumor effects. MATERIALS/METHODS Herein, we optimized a small molecule inhibitor, WJ01024, which can bind to XPO1 and antagonize its activity to inhibit nuclear export. In the C57BL/6 mouse subcutaneous tumor model, we evaluated the ability of different treatment regimens containing oral WJ01014 single or combined with XRT (one fractions of 15 Gy) in tumor control and tumor recurrence inhibition. The effects of each treatment regimen on the alterations of immunophenotypes, including the quantification, activation, proliferative capacity, exhaustion marker expression, and memory status, were evaluated by flow cytometry. RESULTS In our study, we found that the overexpression of XPO1 was associated with poor prognosis and survival in radioresistant patients with NSCLC. The combination therapy of WJ01024 and XRT resulted in an increase of apoptosis and a decrease of proliferation compared to monotherapy, which was closely correlated with tumor regression and improved survival in the C57BL/6 mouse subcutaneous tumor model. Notably, we found that WJ01024 were shown to enhance the therapeutic effect of XRT by remodeling TIME. Compared with XRT, the addition of WJ01024 increased the infiltration and proliferation of radiation-stimulated CD8+ T cells, which especially promoted the production of interferon-γ and granzyme B. Moreover, the combination therapy also reversed the immunosuppressive effect of radiation on the percentage of Tregs and exhausted T cells in mouse xenografts. Thus, the TIME was significantly improved in combination therapy. Strikingly, mechanistic studies suggested that the activation of cyclic GMP-AMP synthase/stimulator of interferon genes (cGAS/STING) signaling pathway is required to reshape TIME and produce synergistic anti-tumor effect with the combination of WJ01024 and XRT. CONCLUSION Our findings suggest that WJ01024 might be a potential synergistic treatment for radiotherapy to control the proliferation of NSCLC cells, promote tumor regression and prolong survival in mouse model of NSCLC by activating cGAS/STING signaling, and this in turn potentiate the immune microenvironment.
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Affiliation(s)
- W Wen
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - L Qian
- wigen biomedicine technology, Shanghai, China
| | - Y Xie
- wigen biomedicine technology, Shanghai, China
| | - X Zhang
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - J Wang
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - J Zhou
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - R Liu
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - J Yu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - D Chen
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
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Ni Y, Qian L, Siliceo SL, Long X, Nychas E, Liu Y, Ismaiah MJ, Leung H, Zhang L, Gao Q, Wu Q, Zhang Y, Jia X, Liu S, Yuan R, Zhou L, Wang X, Li Q, Zhao Y, El-Nezami H, Xu A, Xu G, Li H, Panagiotou G, Jia W. Resistant starch decreases intrahepatic triglycerides in patients with NAFLD via gut microbiome alterations. Cell Metab 2023; 35:1530-1547.e8. [PMID: 37673036 DOI: 10.1016/j.cmet.2023.08.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [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: 10/10/2022] [Revised: 05/22/2023] [Accepted: 08/03/2023] [Indexed: 09/08/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a hepatic manifestation of metabolic dysfunction for which effective interventions are lacking. To investigate the effects of resistant starch (RS) as a microbiota-directed dietary supplement for NAFLD treatment, we coupled a 4-month randomized placebo-controlled clinical trial in individuals with NAFLD (ChiCTR-IOR-15007519) with metagenomics and metabolomics analysis. Relative to the control (n = 97), the RS intervention (n = 99) resulted in a 9.08% absolute reduction of intrahepatic triglyceride content (IHTC), which was 5.89% after adjusting for weight loss. Serum branched-chain amino acids (BCAAs) and gut microbial species, in particular Bacteroides stercoris, significantly correlated with IHTC and liver enzymes and were reduced by RS. Multi-omics integrative analyses revealed the interplay among gut microbiota changes, BCAA availability, and hepatic steatosis, with causality supported by fecal microbiota transplantation and monocolonization in mice. Thus, RS dietary supplementation might be a strategy for managing NAFLD by altering gut microbiota composition and functionality.
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Affiliation(s)
- Yueqiong Ni
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China; Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany; Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
| | - Lingling Qian
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Sara Leal Siliceo
- Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Xiaoxue Long
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Emmanouil Nychas
- Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Yan Liu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Marsena Jasiel Ismaiah
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio 70211, Finland; School of Biological Sciences, Faculty of Science, The University of Hong Kong, Hong Kong SAR, China
| | - Howell Leung
- Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Lei Zhang
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Qiongmei Gao
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Qian Wu
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Ying Zhang
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China
| | - Xi Jia
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Shuangbo Liu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Rui Yuan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Lina Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Xiaolin Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Qi Li
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Yueliang Zhao
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Hani El-Nezami
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio 70211, Finland; School of Biological Sciences, Faculty of Science, The University of Hong Kong, Hong Kong SAR, China
| | - Aimin Xu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong, China; Department of Medicine, The University of Hong Kong, Hong Kong, China; Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
| | - Huating Li
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
| | - Gianni Panagiotou
- Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany; Department of Medicine, The University of Hong Kong, Hong Kong, China; Friedrich Schiller University, Faculty of Biological Sciences, Jena, Germany.
| | - Weiping Jia
- Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200233, China.
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6
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Pan Z, Lu JG, Jiang P, Han JL, Chen HL, Han ZW, Liu K, Qian L, Xu RX, Zhang B, Luo JT, Yan Z, Yang ZL, Zhou DJ, Wang PF, Wang C, Li MH, Zhu M. A binary pulsar in a 53-minute orbit. Nature 2023; 620:961-964. [PMID: 37339734 PMCID: PMC10468392 DOI: 10.1038/s41586-023-06308-w] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 06/12/2023] [Indexed: 06/22/2023]
Abstract
Spider pulsars are neutron stars that have a companion star in a close orbit. The companion star sheds material to the neutron star, spinning it up to millisecond rotation periods, while the orbit shortens to hours. The companion is eventually ablated and destroyed by the pulsar wind and radiation1,2. Spider pulsars are key for studying the evolutionary link between accreting X-ray pulsars and isolated millisecond pulsars, pulsar irradiation effects and the birth of massive neutron stars3-6. Black widow pulsars in extremely compact orbits (as short as 62 minutes7) have companions with masses much smaller than 0.1 M⊙. They may have evolved from redback pulsars with companion masses of about 0.1-0.4 M⊙ and orbital periods of less than 1 day8. If this is true, then there should be a population of millisecond pulsars with moderate-mass companions and very short orbital periods9, but, hitherto, no such system was known. Here we report radio observations of the binary millisecond pulsar PSR J1953+1844 (M71E) that show it to have an orbital period of 53.3 minutes and a companion with a mass of around 0.07 M⊙. It is a faint X-ray source and located 2.5 arcminutes from the centre of the globular cluster M71.
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Affiliation(s)
- Z Pan
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China
- Guizhou Radio Astronomical Observatory, Guizhou University, Guiyang, People's Republic of China
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - J G Lu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China
- Guizhou Radio Astronomical Observatory, Guizhou University, Guiyang, People's Republic of China
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - P Jiang
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China.
- Guizhou Radio Astronomical Observatory, Guizhou University, Guiyang, People's Republic of China.
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China.
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China.
| | - J L Han
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China.
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China.
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China.
| | - H-L Chen
- Yunnan Observatories, Chinese Academy of Sciences, Kunming, People's Republic of China
| | - Z W Han
- Yunnan Observatories, Chinese Academy of Sciences, Kunming, People's Republic of China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - K Liu
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - L Qian
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China
- Guizhou Radio Astronomical Observatory, Guizhou University, Guiyang, People's Republic of China
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - R X Xu
- Department of Astronomy, Peking University, Beijing, People's Republic of China
- Kavli Institute for Astronomy and Astrophysics, Peking University, Beijing, People's Republic of China
- State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing, People's Republic of China
| | - B Zhang
- Nevada Center for Astrophysics, University of Nevada, Las Vegas, NV, USA.
- Department of Physics and Astronomy, University of Nevada, Las Vegas, NV, USA.
| | - J T Luo
- National Time Service Center, Chinese Academy of Sciences, Xi'an, China
| | - Z Yan
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China
- Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, People's Republic of China
| | - Z L Yang
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - D J Zhou
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - P F Wang
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - C Wang
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - M H Li
- State Key Laboratory of Public Big Data, Guizhou University, Guiyang, People's Republic of China
| | - M Zhu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, People's Republic of China
- Guizhou Radio Astronomical Observatory, Guizhou University, Guiyang, People's Republic of China
- College of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, People's Republic of China
- Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences, Beijing, People's Republic of China
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7
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Qian L, Chen XQ, Kong D, Wang G, Cao Y, Xiao Y, Cao JY, Zou C. MK8617 inhibits M1 macrophage polarization and inflammation via the HIF-1α/GYS1/UDPG/P2Y 14 pathway. PeerJ 2023; 11:e15591. [PMID: 37404479 PMCID: PMC10317019 DOI: 10.7717/peerj.15591] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/29/2023] [Indexed: 07/06/2023] Open
Abstract
Background Nonresolving inflammation is a major driver of disease and needs to be taken seriously. Hypoxia-inducible factor (HIF) is closely associated with inflammation. Hypoxia-inducible factor-prolyl hydroxylase inhibitors (HIF-PHIs), as stabilizers of HIF, have recently been reported to have the ability to block inflammation. We used MK8617, a novel HIF-PHI, to study its effect on macrophage inflammation and to explore its possible mechanisms. Methods Cell viability after MK8617 and lipopolysaccharide (LPS) addition was assessed by Cell Counting Kit-8 (CCK8) to find the appropriate drug concentration. MK8617 pretreated or unpretreated cells were then stimulated with LPS to induce macrophage polarization and inflammation. Inflammatory indicators in cells were assessed by real-time quantitative reverse-transcription polymerase chain reaction (qRT-PCR), western blot (WB) and immunofluorescence (IF). The level of uridine diphosphate glucose (UDPG) in the cell supernatant was measured by ELISA. Purinergic G protein-coupled receptor P2Y14, as well as hypoxia-inducible factor-1α (HIF-1α) and glycogen synthase 1 (GYS1) were detected by qRT-PCR and WB. After UDPG inhibition with glycogen phosphorylase inhibitor (GPI) or knockdown of HIF-1α and GYS1 with lentivirus, P2Y14 and inflammatory indexes of macrophages were detected by qRT-PCR and WB. Results MK8617 reduced LPS-induced release of pro-inflammatory factors as well as UDPG secretion and P2Y14 expression. UDPG upregulated P2Y14 and inflammatory indicators, while inhibition of UDPG suppressed LPS-induced inflammation. In addition, HIF-1α directly regulated GYS1, which encoded glycogen synthase, an enzyme that mediated the synthesis of glycogen by UDPG, thereby affecting UDPG secretion. Knockdown of HIF-1α and GYS1 disrupted the anti-inflammatory effect of MK8617. Conclusions Our study demonstrated the role of MK8617 in macrophage inflammation and revealed that its mechanism of action may be related to the HIF-1α/GYS1/UDPG/P2Y14 pathway, providing new therapeutic ideas for the study of inflammation.
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Affiliation(s)
- Lingling Qian
- Department of Nephrology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xiao-qin Chen
- Department of Nephrology, Taizhou School of Clinical Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou, Jiangsu, China
| | - Deyang Kong
- Department of Nephrology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, Guangdong, China
| | - Gaoyuan Wang
- Department of Nephrology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yun Cao
- Department of Nephrology, Taizhou School of Clinical Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou, Jiangsu, China
| | - Yingchun Xiao
- Department of Nephrology, Taizhou School of Clinical Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou, Jiangsu, China
| | - Jing-yuan Cao
- Department of Nephrology, Taizhou School of Clinical Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou, Jiangsu, China
| | - Chunbo Zou
- Department of Nephrology, Taizhou School of Clinical Medicine, The Affiliated Taizhou People’s Hospital of Nanjing Medical University, Taizhou, Jiangsu, China
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8
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Zhuang Z, Qian L, Lu J, Zhang X, Mahmood A, Cui L, Wang H, Wang X, Yang S, Ji L, Shan T, Shen Q, Zhang W. Comparison of viral communities in the blood, feces and various tissues of wild brown rats ( Rattus norvegicus). Heliyon 2023; 9:e17222. [PMID: 37389044 PMCID: PMC10300334 DOI: 10.1016/j.heliyon.2023.e17222] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 06/08/2023] [Accepted: 06/10/2023] [Indexed: 07/01/2023] Open
Abstract
Viral diseases caused by new outbreaks of viral infections pose a serious threat to human health. Wild brown rats (Rattus norvegicus), considered one of the world's largest and most widely distributed rodents, are host to various zoonotic pathogens. To further understand the composition of the virus community in wild brown rats and explore new types of potentially pathogenic viruses, viral metagenomics was conducted to investigate blood, feces, and various tissues of wild brown rats captured from Zhenjiang, China. Results indicated that the composition of the virus community in different samples showed significant differences. In blood and tissue samples, members of the Parvoviridae and Anelloviridae form the main body of the virus community. Picornaviridae, Picobirnaviridae, and Astroviridae made up a large proportion of fecal samples. Several novel genome sequences from members of different families, including Anelloviridae, Parvoviridae, and CRESS DNA viruses, were detected in both blood and other samples, suggesting that they have the potential to spread across organs to cause viremia. These viruses included not only strains closely related to human viruses, but also a potential recombinant virus. Multiple dual-segment picornaviruses were obtained from fecal samples, as well as virus sequences from the Astroviridae and Picornaviridae. Phylogenetic analysis showed that these viruses belonged to different genera, with multiple viruses clustered with other animal viruses. Whether they have pathogenicity and the ability to spread across species needs further study.
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Affiliation(s)
- Zi Zhuang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Lingling Qian
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Juan Lu
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Xiaodan Zhang
- Department of Clinical Laboratory, Zhenjiang Center for Disease Prevention and Control, Zhenjiang, 212002, China
| | - Asif Mahmood
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Lei Cui
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, 200062, China
| | - Huiying Wang
- Department of Swine Infectious Disease, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, China
| | - Xiaochun Wang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Shixing Yang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Likai Ji
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Tongling Shan
- Department of Swine Infectious Disease, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, 200241, China
| | - Quan Shen
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
| | - Wen Zhang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, China
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9
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Abstract
Ferroptosis, as a kind of non-apoptotic cell death, is involved in the pathogenesis of type 1 diabetes mellitus (T1DM). Islet B cells mainly produce insulin that is used to treat diabetes. Berberine (BBR) can ameliorate type 2 diabetes and insulin resistance in many ways. However, a few clues concerning the mechanism of BBR regulating ferroptosis of islet β cells in T1DM have been detected so far. We measured the effects of BBR and GPX4 on islet β cell viability and proliferation by MTT and colony formation assays. Western blot and qRT-PCR were utilized to examine GPX4 expression in islet β cells with distinct treatments. The influence of BBR and GPX4 on ferroptosis of islet β cells was investigated by evaluating the content of Fe2+ and reactive oxygen species (ROS) in cells. The mechanism of BBR targeting GPX4 to inhibit ferroptosis of islet β cells was further revealed by the rescue experiment. Our results showed that BBR and overexpression of GPX4 could notably accelerate cell viability and the proliferative abilities of islet β cells. Moreover, BBR stimulated GPX4 expression to reduce the content of Fe2+ and ROS, thereby repressing the ferroptosis of islet β cells, which functioned similarly as ferroptosis inhibitor Fer-1. In conclusion, BBR suppressed ferroptosis of islet β cells via promoting GPX4 expression, providing new insights into the mechanism of BBR for islet β cells.
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Affiliation(s)
- Lei Bao
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, Jiangsu Province, China
| | - Yixuan Jin
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, Jiangsu Province, China
| | - Jiani Han
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, Jiangsu Province, China
| | - Wanqiu Wang
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, Jiangsu Province, China
| | - Lingling Qian
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, Jiangsu Province, China
| | - Weiming Wu
- Department of Endocrinology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, Jiangsu Province, China
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10
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Gu J, Guo L, Zhu Y, Qian L, Shi L, Zhang H, Ji G. Neurodevelopmental Toxicity of Emamectin Benzoate to the Early Life Stage of Zebrafish Larvae ( Danio rerio). Int J Mol Sci 2023; 24:ijms24043757. [PMID: 36835165 PMCID: PMC9964762 DOI: 10.3390/ijms24043757] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/16/2023] Open
Abstract
Emamectin benzoate (EMB) is a widely used pesticide and feed additive in agriculture and aquaculture. It easily enters the aquatic environment through various pathways, thus causing adverse effects on aquatic organisms. However, there are no systematic studies regarding the effects of EMB on the developmental neurotoxicity of aquatic organisms. Therefore, the aim of this study was to evaluate the neurotoxic effects and mechanisms of EMB at different concentrations (0.1, 0.25, 0.5, 1, 2, 4 and 8 μg/mL) using zebrafish as a model. The results showed that EMB significantly inhibited the hatching rate, spontaneous movement, body length, and swim bladder development of zebrafish embryos, as well as significantly increased the malformation rate of zebrafish larvae. In addition, EMB adversely affected the axon length of motor neurons in Tg (hb9: eGFP) zebrafish and central nervous system (CNS) neurons in Tg (HuC: eGFP) zebrafish and significantly inhibited the locomotor behavior of zebrafish larvae. Meanwhile, EMB induced oxidative damage and was accompanied by increasing reactive oxygen species in the brains of zebrafish larvae. In addition, gene expression involvement in oxidative stress-related (cat, sod and Cu/Zn-sod), GABA neural pathway-related (gat1, gabra1, gad1b, abat and glsa), neurodevelopmental-related (syn2a, gfap, elavl3, shha, gap43 and Nrd) and swim bladder development-related (foxa3, pbxla, mnx1, has2 and elovlla) genes was significantly affected by EMB exposure. In conclusion, our study shows that exposure to EMB during the early life stages of zebrafish significantly increases oxidative damage and inhibits early central neuronal development, motor neuron axon growth and swim bladder development, ultimately leading to neurobehavioral changes in juvenile zebrafish.
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Affiliation(s)
- Jie Gu
- Key Laboratory of Pesticide Environmental Assessment and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Liguo Guo
- Innovation Center for Sustainable Forestry in Southen China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
| | - Yuanhui Zhu
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Department of Toxicology, School of Public Health, Medical College of Soochow University, Suzhou 215123, China
| | - Lingling Qian
- Key Laboratory of Pesticide Environmental Assessment and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Lili Shi
- Key Laboratory of Pesticide Environmental Assessment and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Huanchao Zhang
- Innovation Center for Sustainable Forestry in Southen China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
- Correspondence: (H.Z.); (G.J.)
| | - Guixiang Ji
- Key Laboratory of Pesticide Environmental Assessment and Pollution Control, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
- Correspondence: (H.Z.); (G.J.)
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11
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Wang L, Zhu Y, Gu J, Yin X, Guo L, Qian L, Shi L, Guo M, Ji G. The toxic effect of bisphenol AF and nanoplastic coexposure in parental and offspring generation zebrafish. Ecotoxicol Environ Saf 2023; 251:114565. [PMID: 36682183 DOI: 10.1016/j.ecoenv.2023.114565] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [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: 10/20/2022] [Revised: 01/15/2023] [Accepted: 01/18/2023] [Indexed: 06/17/2023]
Abstract
Microplastics (MPs) and bisphenol AF (BPAF) are two environmental pollutants that usually coexist in the natural environment. Studies of MPs or BPAF have gradually increased in recent years, but few studies have focused on the combination toxic effects. In this study, the subchronic model of adult zebrafish was exposed to 1 mg/L nanolevel microplastics and 200 μg/L BPAF for 45 days; the parental zebrafish were spawning every 3 days during exposure, and the effects of continuous poisoning were examined on the offspring after 1-9 spawns. The results showed that single BPAF exposure or BPAF and nanoplastic coexposure can both decrease the number of eggs laid and the locomotor behavior of parental zebrafish and impact the hatching rate, mortality, body length and locomotor behavior of offspring zebrafish, especially in 7-9 spawn. BPAF were accumulated in parental zebrafish intestinal in 334.62 ng/g in BPAF group and 594.52 ng/g in nm+BPAF group, and accumulated in whole offspring zebrafish for 281.6 ng/g in BPAF group and 321.46 ng/g in nm+BPAF group. Neurodevelopmental, inflammation, apoptosis and oxidative stress-related genes were also significantly increased after 7-9 spawn. In addition, the exacerbated accumulation in the BPAF+nm group in parental and offspring zebrafish may be the reason for the accelerated toxic effect in the present research. In this study, we investigated the combined effects of nanoplastics and BPAF on parental and offspring zebrafish in the aquatic environment to identify the accumulative toxic effects and provide new experimental support for assessing the effects of coexposure on aquatic organisms.
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Affiliation(s)
- Lei Wang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Yuanhui Zhu
- Department of Toxicology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, Jiangsu, China
| | - Jie Gu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Xiaogang Yin
- Co-Innovation Center for Sustainable Forestry in Southen China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
| | - Liguo Guo
- Co-Innovation Center for Sustainable Forestry in Southen China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
| | - Lingling Qian
- Co-Innovation Center for Sustainable Forestry in Southen China, College of Forestry, Nanjing Forestry University, Nanjing 210037, China
| | - Lili Shi
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Min Guo
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China.
| | - Guixiang Ji
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China.
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12
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Zhou C, Lu Y, Kim SW, Baisamut (Reungwetwattana) T, Zhou J, Zhang Y, He J, Yang J, Cheng Y, Lee SH, Chang J, Fang J, Liu Z, Bu L, Qian L, Xu T, Archer V, Hilton M, Zhou M, Zhang L. LBA11 Alectinib (ALC) vs crizotinib (CRZ) in Asian patients (pts) with treatment-naïve advanced ALK+ non-small cell lung cancer (NSCLC): 5-year update from the phase III ALESIA study. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.353] [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: 12/07/2022] Open
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13
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Wang YF, Ren Y, Zhu CF, Qian L, Yang Q, Deng WM, Zou LY, Liu Z, Luo DH. Optimising diffusion-weighted imaging of the thyroid gland using dedicated surface coil. Clin Radiol 2022; 77:e791-e798. [PMID: 36096939 DOI: 10.1016/j.crad.2022.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 11/03/2022]
Abstract
AIM To assess the feasibility of applying field-of-view (FOV) optimised and constrained undistorted single-shot (FOCUS) diffusion-weighted imaging (DWI) in the thyroid gland by comparing its image quality with conventional DWI (C-DWI) qualitatively and quantitatively using a dedicated surface coil exclusively designed for the thyroid gland at 3 T magnetic resonance imaging (MRI). MATERIALS AND METHODS In this prospective study, 32 healthy volunteers who had undergone 3 T the thyroid gland MRI with FOCUS-DWI and C-DWI were enrolled. Two independent reviewers assessed the overall image quality, artefacts, sharpness, and geometric distortion based on a five-point Likert scale. The signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) were quantified for both sequences. Interobserver agreement, qualitative scores, and quantitative parameters were compared between two sequences. RESULTS Agreement between the two readers was good for FOCUS-DWI (κ = 0.714-0.778) and moderate to good for C-DWI (κ = 0.525-0.672) in qualitative image quality assessment. Qualitatively, image quality (overall image quality, artefacts, sharpness, and geometric distortion) was significantly better in FOCUS-DWI than that in the C-DWI (all p<0.05); however, quantitatively, FOCUS-DWI had significantly lower SNRs (p<0.001) and CNRs (p=0.012) compared with C-DWI. The ADC value on FOCUS-DWI was significantly higher than that on C-DWI (p<0.001). CONCLUSION FOCUS-DWI depicted the thyroid gland with significantly better image quality qualitatively and less ghost artefacts, but had significantly lower SNR and CNR quantitatively, compared with C-DWI, suggesting that both DWI sequences have advantages and could be chosen for different purposes.
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Affiliation(s)
- Y F Wang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Y Ren
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - C F Zhu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - L Qian
- MR Research, GE Healthcare, Beijing, China
| | - Q Yang
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - W M Deng
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - L Y Zou
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Z Liu
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China.
| | - D H Luo
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China; Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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14
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Shen Q, Zhuang Z, Lu J, Qian L, Li G, Kanton AG, Yang S, Wang X, Wang H, Yin J, Zhang W. Genome Analysis of Goose-Origin Astroviruses Causing Fatal Gout in Shanghai, China Reveals One of Them Belonging to a Novel Type Is a Recombinant Strain. Front Vet Sci 2022; 9:878441. [PMID: 35782540 PMCID: PMC9247502 DOI: 10.3389/fvets.2022.878441] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/29/2022] [Indexed: 11/23/2022] Open
Abstract
Since 2014, a goose-origin astroviruses disease, which is characterized by urate precipitation in viscera, has rapidly spread to major commercial goose provinces leading to huge economic losses in the poultry industry of China. In March 2020, a goose farm locates in Shanghai, China, where there was no goose astroviruses (GAstVs) infection reported before, experienced an outbreak of gout disease in geese. The etiological investigation was carried out by virus metagenomics and bacterial culture and two GAstVs strains, designated as CHSH01 and CHSH02, were determined. Their complete genomes were measured to 7,154 and 7,330 nt in length, excludingthe poly(A) tail, respectively, and had different genomic features and classifications. CHSH01 shared a very low sequence identity with other strains in terms of not only the complete genome but also different ORFs. Phylogenetic analysis showed CHSH02 belonged to GAstV-2, which was the predominant species in the geese with gout in China according to the previous study. Meanwhile, CHSH01 strain displayed low identity with other AstVs, and phylogenetic and recombination analysis suggested that CHSH01 belonging to a novel type was a recombinant strain, one parent strain of which was an AstV determined from a bar-headed goose (a kind of migrant bird). Moreover, the primary epidemiological investigation showed that the two strains were prevalent in the same goose farm and co-infection occurred. These findings arise the potential cross-species transmission of CHSH01 between domestic and wild fowl.
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Affiliation(s)
- Quan Shen
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Zi Zhuang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Juan Lu
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Lingling Qian
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Guangquan Li
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Aaron Gia Kanton
- Department of Orthopedics, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Shixing Yang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Xiaochun Wang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Huiying Wang
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, China
- *Correspondence: Huiying Wang
| | - Jun Yin
- Nanjing Customs District, Nanjing, China
- Jun Yin
| | - Wen Zhang
- Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China
- Wen Zhang
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15
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Leung H, Long X, Ni Y, Qian L, Nychas E, Siliceo SL, Pohl D, Hanhineva K, Liu Y, Xu A, Nielsen HB, Belda E, Clément K, Loomba R, Li H, Jia W, Panagiotou G. Risk assessment with gut microbiome and metabolite markers in NAFLD development. Sci Transl Med 2022; 14:eabk0855. [PMID: 35675435 PMCID: PMC9746350 DOI: 10.1126/scitranslmed.abk0855] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A growing body of evidence suggests interplay between the gut microbiota and the pathogenesis of nonalcoholic fatty liver disease (NAFLD). However, the role of the gut microbiome in early detection of NAFLD is unclear. Prospective studies are necessary for identifying reliable, microbiome markers for early NAFLD. We evaluated 2487 individuals in a community-based cohort who were followed up 4.6 years after initial clinical examination and biospecimen sampling. Metagenomic and metabolomic characterizations using stool and serum samples taken at baseline were performed for 90 participants who progressed to NAFLD and 90 controls who remained NAFLD free at the follow-up visit. Cases and controls were matched for gender, age, body mass index (BMI) at baseline and follow-up, and 4-year BMI change. Machine learning models integrating baseline microbial signatures (14 features) correctly classified participants (auROCs of 0.72 to 0.80) based on their NAFLD status and liver fat accumulation at the 4-year follow up, outperforming other prognostic clinical models (auROCs of 0.58 to 0.60). We confirmed the biological relevance of the microbiome features by testing their diagnostic ability in four external NAFLD case-control cohorts examined by biopsy or magnetic resonance spectroscopy, from Asia, Europe, and the United States. Our findings raise the possibility of using gut microbiota for early clinical warning of NAFLD development.
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Affiliation(s)
- Howell Leung
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Xiaoxue Long
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China
| | - Yueqiong Ni
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.,Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
| | - Lingling Qian
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China
| | - Emmanouil Nychas
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Sara Leal Siliceo
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Dennis Pohl
- Clinical Microbiomics, Fruebjergvej 3, 2100 Copenhagen, Denmark.,Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kgs. Lyngby, Denmark
| | - Kati Hanhineva
- Department of Life Technologies, Food Chemistry and Food Development Unit, University of Turku, 20014 Turku, Finland.,Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, 412 96 Gothenburg, Sweden.,School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Yan Liu
- The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Aimin Xu
- The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, The University of Hong Kong, Hong Kong SAR, China.,Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China
| | | | - Eugeni Belda
- Sorbonne Université, INSERM, NutriOmics Research Unit, Nutrition Department, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, 75013 Paris, France
| | - Karine Clément
- Sorbonne Université, INSERM, NutriOmics Research Unit, Nutrition Department, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, 75013 Paris, France
| | - Rohit Loomba
- NAFLD Research Center, Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
| | - Gianni Panagiotou
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.,The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, The University of Hong Kong, Hong Kong SAR, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
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16
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Chakraborty S, Qian L, Baker JBH, Ruohoniemi JM, Kuyeng K, Mclnerney JM. Driving Influences of the Doppler Flash Observed by SuperDARN HF Radars in Response to Solar Flares. J Geophys Res Space Phys 2022; 127:e2022JA030342. [PMID: 35864909 PMCID: PMC9286435 DOI: 10.1029/2022ja030342] [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: 01/31/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 06/15/2023]
Abstract
Sudden enhancement in high-frequency absorption is a well-known impact of solar flare-driven Short-Wave Fadeout (SWF). Less understood, is a perturbation of the radio wave frequency as it traverses the ionosphere in the early stages of SWF, also known as the Doppler flash. Investigations have suggested two possible sources that might contribute to it's manifestation: first, enhancements of plasma density in the D-and lower E-regions; second, the lowering of the F-region reflection point. Our recent work investigated a solar flare event using first principles modeling and Super Dual Auroral Radar Network (SuperDARN) HF radar observations and found that change in the F-region refractive index is the primary driver of the Doppler flash. This study analyzes multiple solar flare events observed across different SuperDARN HF radars to determine how flare characteristics, properties of the traveling radio wave, and geophysical conditions impact the Doppler flash. In addition, we use incoherent scatter radar data and first-principles modeling to investigate physical mechanisms that drive the lowering of the F-region reflection points. We found, (a) on average, the change in E- and F-region refractive index is the primary driver of the Doppler flash, (b) solar zenith angle, ray's elevation angle, operating frequency, and location of the solar flare on the solar disk can alter the ionospheric regions of maximum contribution to the Doppler flash, (c) increased ionospheric Hall and Pedersen conductance causes a reduction of the daytime eastward electric field, and consequently reduces the vertical ion-drift in the lower and middle latitude ionosphere, which results in lowering of the F-region ray reflection point.
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Affiliation(s)
- S. Chakraborty
- Bradley Department of Electrical and Computer EngineeringVirginia TechBlacksburgVAUSA
| | - L. Qian
- National Center for Atmospheric ResearchBoulderCOUSA
| | - J. B. H. Baker
- Bradley Department of Electrical and Computer EngineeringVirginia TechBlacksburgVAUSA
| | - J. M. Ruohoniemi
- Bradley Department of Electrical and Computer EngineeringVirginia TechBlacksburgVAUSA
| | - K. Kuyeng
- Radio Observatorio de JicamarcaInstituto Geofisico del PeruLimaPeru
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17
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Qian L, Ye ZQ, Huang Y. [Recent advances in predictive models for prognosis in pediatric inflammatory bowel disease]. Zhonghua Er Ke Za Zhi 2022; 60:159-162. [PMID: 35090239 DOI: 10.3760/cma.j.cn112140-20210702-00548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- L Qian
- Department of Gastroenterology, Children's Hospital of Fudan University, Shanghai 201102, China
| | - Z Q Ye
- Department of Gastroenterology, Children's Hospital of Fudan University, Shanghai 201102, China
| | - Y Huang
- Department of Gastroenterology, Children's Hospital of Fudan University, Shanghai 201102, China
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18
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Gu J, Guo M, Yin X, Huang C, Qian L, Zhou L, Wang Z, Wang L, Shi L, Ji G. A systematic comparison of neurotoxicity of bisphenol A and its derivatives in zebrafish. Sci Total Environ 2022; 805:150210. [PMID: 34534871 DOI: 10.1016/j.scitotenv.2021.150210] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/31/2021] [Accepted: 09/03/2021] [Indexed: 06/13/2023]
Abstract
As more and more countries have prohibited the manufacture and sale of plastic products with bisphenol A (BPA), a number of bisphenol analogues (BPs), including BPS, BPF and BPAF, have gradually been used as its primary substitutes. Ideally, substitutes used to replace chemicals with environmental risks should be inert, so it makes sense that the risk of the similar chemical substitutes (BPS, BPF, and BPAF) should be assessed before they used. Therefore, in the present study, the neurotoxicity of four BPs at environmentally relevant concentration (200 μg/L) were systematically compared using zebrafish as a model. Our results showed that the four BPs (BPA, BPS, BPF and BPAF) exhibited no obvious effect on the hatchability, survival rate and body length of zebrafish larvae, noteworthily a significant inhibitory effect on spontaneous movement at 24 hpf was observed in the BPA, BPF and BPAF treatment groups. Behavioral tests showed that BPAF, BPF and BPA exposure significantly reduced the locomotor activity of the larvae. Additionally, BPAF treatment adversely affected motor neuron axon length in transgenic lines hb9-GFP zebrafish and decreased central nervous system (CNS) neurogenesis in transgenic lines HuC-GFP zebrafish. Intriguingly, BPAF displayed the strongest effects on the levels and metabolism of neurotransmitters, followed by BPF and BPA, while BPS showed the weakest effects on neurotransmitters. In conclusion, our study deciphered that environmentally relevant concentrations of BPs exposure exhibited differential degrees of neurotoxicity, which ranked as below: BPAF > BPF ≈ BPA > BPS. The possible mechanisms can be partially ascribed to the dramatical changes of multiple neurotransmitters and the inhibitory effects on neuronal development. These results suggest that BPAF and BPF should be carefully considered as alternatives to BPA.
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Affiliation(s)
- Jie Gu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Min Guo
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Xiaogang Yin
- Co-Innovation Center for Efficient Processing and Utilization of Forest Resources, College of Chemical Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037, China
| | - Caoxing Huang
- Co-Innovation Center for Efficient Processing and Utilization of Forest Resources, College of Chemical Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037, China
| | - Lingling Qian
- Co-Innovation Center for Efficient Processing and Utilization of Forest Resources, College of Chemical Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037, China
| | - Linjun Zhou
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Zhen Wang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Lei Wang
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Lili Shi
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China
| | - Guixiang Ji
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China.
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19
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Ching TC, Li D, Heiles C, Li ZY, Qian L, Yue YL, Tang J, Jiao SH. An early transition to magnetic supercriticality in star formation. Nature 2022; 601:49-52. [PMID: 34987214 PMCID: PMC8732270 DOI: 10.1038/s41586-021-04159-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 10/18/2021] [Indexed: 12/02/2022]
Abstract
Magnetic fields have an important role in the evolution of interstellar medium and star formation1,2. As the only direct probe of interstellar field strength, credible Zeeman measurements remain sparse owing to the lack of suitable Zeeman probes, particularly for cold, molecular gas3. Here we report the detection of a magnetic field of +3.8 ± 0.3 microgauss through the H I narrow self-absorption (HINSA)4,5 towards L15446,7—a well-studied prototypical prestellar core in an early transition between starless and protostellar phases8–10 characterized by a high central number density11 and a low central temperature12. A combined analysis of the Zeeman measurements of quasar H I absorption, H I emission, OH emission and HINSA reveals a coherent magnetic field from the atomic cold neutral medium (CNM) to the molecular envelope. The molecular envelope traced by the HINSA is found to be magnetically supercritical, with a field strength comparable to that of the surrounding diffuse, magnetically subcritical CNM despite a large increase in density. The reduction of the magnetic flux relative to the mass, which is necessary for star formation, thus seems to have already happened during the transition from the diffuse CNM to the molecular gas traced by the HINSA. This is earlier than envisioned in the classical picture where magnetically supercritical cores capable of collapsing into stars form out of magnetically subcritical envelopes13,14. An analysis of Zeeman measurements reveals that the reduction of magnetic flux relative to mass, which is necessary for star formation, seems to have occurred earlier than previously thought.
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Affiliation(s)
- T-C Ching
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China
| | - D Li
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China. .,Department of Astronomy, University of Chinese Academy of Sciences, Beijing, China. .,NAOC-UKZN Computational Astrophysics Centre, University of KwaZulu-Natal, Durban, South Africa.
| | - C Heiles
- Department of Astronomy, University of California, Berkeley, Berkeley, CA, USA
| | - Z-Y Li
- Astronomy Department, University of Virginia, Charlottesville, VA, USA
| | - L Qian
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China
| | - Y L Yue
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China
| | - J Tang
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China
| | - S H Jiao
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China.,Department of Astronomy, University of Chinese Academy of Sciences, Beijing, China
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20
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Li D, Wang P, Zhu WW, Zhang B, Zhang XX, Duan R, Zhang YK, Feng Y, Tang NY, Chatterjee S, Cordes JM, Cruces M, Dai S, Gajjar V, Hobbs G, Jin C, Kramer M, Lorimer DR, Miao CC, Niu CH, Niu JR, Pan ZC, Qian L, Spitler L, Werthimer D, Zhang GQ, Wang FY, Xie XY, Yue YL, Zhang L, Zhi QJ, Zhu Y. Author Correction: A bimodal burst energy distribution of a repeating fast radio burst source. Nature 2021; 601:E1. [PMID: 34912125 DOI: 10.1038/s41586-021-04178-8] [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: 11/09/2022]
Affiliation(s)
- D Li
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China. .,University of Chinese Academy of Sciences, Beijing, China.
| | - P Wang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - W W Zhu
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - B Zhang
- Department of Physics and Astronomy, University of Nevada, Las Vegas, Las Vegas, NV, USA.
| | - X X Zhang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - R Duan
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - Y K Zhang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Y Feng
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,CSIRO Astronomy and Space Science, Epping, New South Wales, Australia
| | - N Y Tang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,Department of Physics, Anhui Normal University, Wuhu, China
| | - S Chatterjee
- Cornell Center for Astrophysics and Planetary Science and Department of Astronomy, Cornell University, Ithaca, NY, USA
| | - J M Cordes
- Cornell Center for Astrophysics and Planetary Science and Department of Astronomy, Cornell University, Ithaca, NY, USA
| | - M Cruces
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - S Dai
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,CSIRO Astronomy and Space Science, Epping, New South Wales, Australia.,Western Sydney University, Penrith, New South Wales, Australia
| | - V Gajjar
- Department of Astronomy, University of California Berkeley, Berkeley, CA, USA
| | - G Hobbs
- CSIRO Astronomy and Space Science, Epping, New South Wales, Australia
| | - C Jin
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - M Kramer
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - D R Lorimer
- Department of Physics and Astronomy, West Virginia University, Morgantown, WV, USA.,Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, WV, USA
| | - C C Miao
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - C H Niu
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - J R Niu
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Z C Pan
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - L Qian
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - L Spitler
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - D Werthimer
- Department of Astronomy, University of California Berkeley, Berkeley, CA, USA
| | - G Q Zhang
- School of Astronomy and Space Science, Nanjing University, Nanjing, China
| | - F Y Wang
- School of Astronomy and Space Science, Nanjing University, Nanjing, China.,Key Laboratory of Modern Astronomy and Astrophysics (Nanjing University), Ministry of Education, Nanjing, China
| | - X Y Xie
- Guizhou Normal University, Guiyang, China
| | - Y L Yue
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - L Zhang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,School of Physics and Technology, Wuhan University, Wuhan, China
| | - Q J Zhi
- Guizhou Normal University, Guiyang, China.,Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing, Guizhou Normal University, Guiyang, China
| | - Y Zhu
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
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21
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Li D, Wang P, Zhu WW, Zhang B, Zhang XX, Duan R, Zhang YK, Feng Y, Tang NY, Chatterjee S, Cordes JM, Cruces M, Dai S, Gajjar V, Hobbs G, Jin C, Kramer M, Lorimer DR, Miao CC, Niu CH, Niu JR, Pan ZC, Qian L, Spitler L, Werthimer D, Zhang GQ, Wang FY, Xie XY, Yue YL, Zhang L, Zhi QJ, Zhu Y. A bimodal burst energy distribution of a repeating fast radio burst source. Nature 2021; 598:267-271. [PMID: 34645999 DOI: 10.1038/s41586-021-03878-5] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 08/05/2021] [Indexed: 11/09/2022]
Abstract
The event rate, energy distribution and time-domain behaviour of repeating fast radio bursts (FRBs) contain essential information regarding their physical nature and central engine, which are as yet unknown1,2. As the first precisely localized source, FRB 121102 (refs. 3-5) has been extensively observed and shows non-Poisson clustering of bursts over time and a power-law energy distribution6-8. However, the extent of the energy distribution towards the fainter end was not known. Here we report the detection of 1,652 independent bursts with a peak burst rate of 122 h-1, in 59.5 hours spanning 47 days. A peak in the isotropic equivalent energy distribution is found to be approximately 4.8 × 1037 erg at 1.25 GHz, below which the detection of bursts is suppressed. The burst energy distribution is bimodal, and well characterized by a combination of a log-normal function and a generalized Cauchy function. The large number of bursts in hour-long spans allows sensitive periodicity searches between 1 ms and 1,000 s. The non-detection of any periodicity or quasi-periodicity poses challenges for models involving a single rotating compact object. The high burst rate also implies that FRBs must be generated with a high radiative efficiency, disfavouring emission mechanisms with large energy requirements or contrived triggering conditions.
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Affiliation(s)
- D Li
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China. .,University of Chinese Academy of Sciences, Beijing, China.
| | - P Wang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - W W Zhu
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - B Zhang
- Department of Physics and Astronomy, University of Nevada, Las Vegas, Las Vegas, NV, USA.
| | - X X Zhang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - R Duan
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - Y K Zhang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Y Feng
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,CSIRO Astronomy and Space Science, Epping, New South Wales, Australia
| | - N Y Tang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,Department of Physics, Anhui Normal University, Wuhu, China
| | - S Chatterjee
- Cornell Center for Astrophysics and Planetary Science and Department of Astronomy, Cornell University, Ithaca, NY, USA
| | - J M Cordes
- Cornell Center for Astrophysics and Planetary Science and Department of Astronomy, Cornell University, Ithaca, NY, USA
| | - M Cruces
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - S Dai
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,CSIRO Astronomy and Space Science, Epping, New South Wales, Australia.,Western Sydney University, Penrith, New South Wales, Australia
| | - V Gajjar
- Department of Astronomy, University of California Berkeley, Berkeley, CA, USA
| | - G Hobbs
- CSIRO Astronomy and Space Science, Epping, New South Wales, Australia
| | - C Jin
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - M Kramer
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - D R Lorimer
- Department of Physics and Astronomy, West Virginia University, Morgantown, WV, USA.,Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, WV, USA
| | - C C Miao
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - C H Niu
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - J R Niu
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Z C Pan
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - L Qian
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - L Spitler
- Max-Planck-Institut für Radioastronomie, Bonn, Germany
| | - D Werthimer
- Department of Astronomy, University of California Berkeley, Berkeley, CA, USA
| | - G Q Zhang
- School of Astronomy and Space Science, Nanjing University, Nanjing, China
| | - F Y Wang
- School of Astronomy and Space Science, Nanjing University, Nanjing, China.,Key Laboratory of Modern Astronomy and Astrophysics (Nanjing University), Ministry of Education, Nanjing, China
| | - X Y Xie
- Guizhou Normal University, Guiyang, China
| | - Y L Yue
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
| | - L Zhang
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China.,School of Physics and Technology, Wuhan University, Wuhan, China
| | - Q J Zhi
- Guizhou Normal University, Guiyang, China.,Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing, Guizhou Normal University, Guiyang, China
| | - Y Zhu
- CAS Key Laboratory of FAST, NAOC, Chinese Academy of Sciences, Beijing, China
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22
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Wu D, Qian L, Zhu PF. A novel micro-tensile system for full-field deformation measurement of thin films. Rev Sci Instrum 2021; 92:093901. [PMID: 34598515 DOI: 10.1063/5.0055229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 08/16/2021] [Indexed: 06/13/2023]
Abstract
We propose a novel micro-tensile system fit for mechanical property characterization of low-dimensional materials. The micro-tensile system was integrated with a micro-tensile apparatus driven by a piezoelectric transducer (PZT) and an optical microscope. The displacement provided by the PZT actuator was amplified by a lever structure on the micro-tensile apparatus. A stalloy was designed to transmit the displacement and reduce the mechanical resistance to the PZT actuator. Quantitative analysis was conducted for the designed apparatus. A calibration experiment was performed based on the micro-scale digital image correlation under the optical microscope. To validate the feasibility, the PET film specimen with a V-notch was tested by the proposed system. The results indicate that the proposed micro-tensile system is reliable and powerful.
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Affiliation(s)
- D Wu
- Key Laboratory of Impact and Safety Engineering, Ministry of Education, School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, Zhejiang 315211, China
| | - L Qian
- Key Laboratory of Impact and Safety Engineering, Ministry of Education, School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, Zhejiang 315211, China
| | - P F Zhu
- Key Laboratory of Impact and Safety Engineering, Ministry of Education, School of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, Zhejiang 315211, China
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23
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Xu Y, Kong D, Li Z, Qian L, Li J, Zou C. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis. PLoS One 2021; 16:e0254868. [PMID: 34358255 PMCID: PMC8345835 DOI: 10.1371/journal.pone.0254868] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 07/05/2021] [Indexed: 12/05/2022] Open
Abstract
Background Papillary renal cell carcinoma (PRCC) is the most common type of renal cell carcinoma after clear cell renal cell carcinoma (ccRCC). Its pathological classification is controversial, and its molecular mechanism is poorly understood. Therefore, the identification of key genes and their biological pathways is of great significance to elucidate the molecular mechanisms of PRCC occurrence and progression. Methods The PRCC-related datasets GSE7023, GSE48352 and GSE15641 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, and gene ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed. Cytoscape and STRING were used to construct the protein-protein interaction network (PPI) and perform module analysis to identify hub genes and key pathways. A heatmap of hub genes was constructed using the UCSC cancer genomics browser. Overall survival and recurrence-free survival of patients stratified by the expression levels of hub genes were analysed using Kaplan-Meier Plotter. The online database UALCAN was applied to analyse gene expression based on tissue type, stage, subtype and race. Results A total of 214 DEGs, specifically, 205 downregulated genes and 9 upregulated genes, were identified. The DEGs were mainly enriched in angiogenesis, kidney development, oxidation-reduction process, metabolic pathways, etc. The 17 hub genes identified were mainly enriched in the biological processes of angiogenesis, cell adhesion, platelet degranulation, and leukocyte transendothelial migration. Survival analysis showed that EGF, KDR, CXCL12, REN, PECAM1, CDH5, THY1, WT1, PLAU and DCN might be related to the carcinogenesis, metastasis or recurrence of PRCC. UALCAN analysis showed that low expression of PECAM1 and PLAU in PRCC tissues was related to stage, subtype and race. Conclusions The DEGs and hub genes identified in the present study provide insight into the specific molecular mechanisms of PRCC occurrence and development and may be potential molecular markers and therapeutic targets for the accurate classification and efficient diagnosis and treatment of PRCC.
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Affiliation(s)
- Yingying Xu
- Department of Nephrology, Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu, People’s Republic of China
| | - Deyang Kong
- Department of Nephrology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, Guangdong, People’s Republic of China
- * E-mail: (CZ); (DK)
| | - Zhongtang Li
- Department of Pediatrics, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, People’s Republic of China
| | - Lingling Qian
- Department of Nephrology, Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu, People’s Republic of China
| | - Junchao Li
- Department of Vasculocardiology Deparment, Taizhou Clinical Medical College of Nanjing Medical University (Taizhou People’s Hospital), Taizhou, Jiangsu, People’s Republic of China
| | - Chunbo Zou
- Department of Nephrology, Taizhou Clinical Medical College of Nanjing Medical University (Taizhou People’s Hospital), Taizhou, Jiangsu, People’s Republic of China
- * E-mail: (CZ); (DK)
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Qian L, Jingjing J, Jiaqi G, Yanping W, Genshan M, Yuyu Y. Protective role of serpina3c as a novel thrombin inhibitor against atherosclerosis in mice. Atherosclerosis 2021. [DOI: 10.1016/j.atherosclerosis.2021.06.186] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Zhang J, Ni Y, Qian L, Fang Q, Zheng T, Zhang M, Gao Q, Zhang Y, Ni J, Hou X, Bao Y, Kovatcheva‐Datchary P, Xu A, Li H, Panagiotou G, Jia W. Decreased Abundance of Akkermansia muciniphila Leads to the Impairment of Insulin Secretion and Glucose Homeostasis in Lean Type 2 Diabetes. Adv Sci (Weinh) 2021; 8:e2100536. [PMID: 34085773 PMCID: PMC8373164 DOI: 10.1002/advs.202100536] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [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: 02/08/2021] [Revised: 04/05/2021] [Indexed: 05/23/2023]
Abstract
Although obesity occurs in most of the patients with type 2 diabetes (T2D), a fraction of patients with T2D are underweight or have normal weight. Several studies have linked the gut microbiome to obesity and T2D, but the role of gut microbiota in lean individuals with T2D having unique clinical characteristics remains unclear. A metagenomic and targeted metabolomic analysis is conducted in 182 lean and abdominally obese individuals with and without newly diagnosed T2D. The abundance of Akkermansia muciniphila (A. muciniphila) significantly decreases in lean individuals with T2D than without T2D, but not in the comparison of obese individuals with and without T2D. Its abundance correlates inversely with serum 3β-chenodeoxycholic acid (βCDCA) levels and positively with insulin secretion and fibroblast growth factor 15/19 (FGF15/19) concentrations. The supplementation with A. muciniphila is sufficient to protect mice against high sucrose-induced impairment of glucose intolerance by decreasing βCDCA and increasing insulin secretion and FGF15/19. Furthermore, βCDCA inhibits insulin secretion and FGF15/19 expression. These findings suggest that decreased abundance of A. muciniphila is linked to the impairment of insulin secretion and glucose homeostasis in lean T2D, paving the way for new therapeutic options for the prevention or treatment of diabetes.
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Affiliation(s)
- Jing Zhang
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | - Yueqiong Ni
- Systems Biology and Bioinformatics UnitLeibniz Institute for Natural Product Research and Infection Biology–Hans Knöll InstituteBeutenbergstrasse 11aJena07745Germany
- Systems Biology & Bioinformatics GroupSchool of Biological SciencesThe University of Hong KongHong Kong SARChina
| | - Lingling Qian
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | - Qichen Fang
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | - Tingting Zheng
- Systems Biology and Bioinformatics UnitLeibniz Institute for Natural Product Research and Infection Biology–Hans Knöll InstituteBeutenbergstrasse 11aJena07745Germany
- Systems Biology & Bioinformatics GroupSchool of Biological SciencesThe University of Hong KongHong Kong SARChina
| | - Mingliang Zhang
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | - Qiongmei Gao
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | - Ying Zhang
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | - Jiacheng Ni
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | - Xuhong Hou
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | - Yuqian Bao
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | | | - Aimin Xu
- State Key Laboratory of Pharmaceutical BiotechnologyThe University of Hong KongHong Kong SARChina
- Department of MedicineThe University of Hong KongHong Kong SARChina
| | - Huating Li
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
| | - Gianni Panagiotou
- Systems Biology and Bioinformatics UnitLeibniz Institute for Natural Product Research and Infection Biology–Hans Knöll InstituteBeutenbergstrasse 11aJena07745Germany
- Systems Biology & Bioinformatics GroupSchool of Biological SciencesThe University of Hong KongHong Kong SARChina
- State Key Laboratory of Pharmaceutical BiotechnologyThe University of Hong KongHong Kong SARChina
- Department of MedicineThe University of Hong KongHong Kong SARChina
| | - Weiping Jia
- Shanghai Key Laboratory of Diabetes MellitusDepartment of Endocrinology and MetabolismShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai Jiao Tong University Affiliated Sixth People's HospitalShanghai200233China
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26
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Liu D, Wu L, Gao Q, Long X, Hou X, Qian L, Ni J, Fang Q, Li H, Jia W. FGF21/adiponectin ratio predicts deterioration in glycemia: a 4.6-year prospective study in China. Cardiovasc Diabetol 2021; 20:157. [PMID: 34321008 PMCID: PMC8320224 DOI: 10.1186/s12933-021-01351-1] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 07/21/2021] [Indexed: 12/29/2022] Open
Abstract
Background The fibroblast growth factor (FGF) 21-adiponectin pathway is involved in the regulation of insulin resistance. However, the relationship between the FGF21-adiponectin pathway and type 2 diabetes in humans is unclear. Here, we investigated the association of FGF21/adiponectin ratio with deterioration in glycemia in a prospective cohort study. Methods We studied 6361 subjects recruited from the prospective Shanghai Nicheng Cohort Study in China. The association between baseline FGF21/adiponectin ratio and new-onset diabetes and incident prediabetes was evaluated using multiple logistic regression analysis. Results At baseline, FGF21/adiponectin ratio levels increased progressively with the deterioration in glycemic control from normal glucose tolerance to prediabetes and diabetes (p for trend < 0.001). Over a median follow-up of 4.6 years, 195 subjects developed new-onset diabetes and 351 subjects developed incident prediabetes. Elevated baseline FGF21/adiponectin ratio was a significant predictor of new-onset diabetes independent of traditional risk factors, especially in subjects with prediabetes (odds ratio, 1.367; p = 0.001). Moreover, FGF21/adiponectin ratio predicted incident prediabetes (odds ratio, 1.185; p = 0.021) while neither FGF21 nor adiponectin were independent predictors of incident prediabetes (both p > 0.05). Furthermore, net reclassification improvement and integrated discrimination improvement analyses showed that FGF21/adiponectin ratio provided a better performance in diabetes risk prediction than the use of FGF21 or adiponectin alone. Conclusions FGF21/adiponectin ratio independently predicted the onset of prediabetes and diabetes, with the potential to be a useful biomarker of deterioration in glycemia. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01351-1.
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Affiliation(s)
- Dan Liu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.,Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang Wu
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Qiongmei Gao
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Xiaoxue Long
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.,Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuhong Hou
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Lingling Qian
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Jiacheng Ni
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Qichen Fang
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China.
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27
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Amenomori M, Bao YW, Bi XJ, Chen D, Chen TL, Chen WY, Chen X, Chen Y, Cui SW, Ding LK, Fang JH, Fang K, Feng CF, Feng Z, Feng ZY, Gao Q, Gomi A, Gou QB, Guo YQ, Guo YY, He HH, He ZT, Hibino K, Hotta N, Hu H, Hu HB, Huang J, Jia HY, Jiang L, Jiang P, Jin HB, Kasahara K, Katayose Y, Kato C, Kato S, Kawata K, Kozai M, Kurashige D, Le GM, Li AF, Li HJ, Li WJ, Li Y, Lin YH, Liu B, Liu C, Liu JS, Liu LY, Liu MY, Liu W, Liu XL, Lou YQ, Lu H, Meng XR, Munakata K, Nakada H, Nakamura Y, Nakazawa Y, Nanjo H, Ning CC, Nishizawa M, Ohnishi M, Ohura T, Okukawa S, Ozawa S, Qian L, Qian X, Qian XL, Qu XB, Saito T, Sakata M, Sako T, Sako TK, Shao J, Shibata M, Shiomi A, Sugimoto H, Takano W, Takita M, Tan YH, Tateyama N, Torii S, Tsuchiya H, Udo S, Wang H, Wang YP, Wu HR, Wu Q, Xu JL, Xue L, Yamamoto Y, Yang Z, Yao YQ, Yin J, Yokoe Y, Yu NP, Yuan AF, Zhai LM, Zhang CP, Zhang HM, Zhang JL, Zhang X, Zhang XY, Zhang Y, Zhang Y, Zhang Y, Zhao SP, Zhou XX. Gamma-Ray Observation of the Cygnus Region in the 100-TeV Energy Region. Phys Rev Lett 2021; 127:031102. [PMID: 34328784 DOI: 10.1103/physrevlett.127.031102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/30/2021] [Accepted: 06/15/2021] [Indexed: 06/13/2023]
Abstract
We report observations of gamma-ray emissions with energies in the 100-TeV energy region from the Cygnus region in our Galaxy. Two sources are significantly detected in the directions of the Cygnus OB1 and OB2 associations. Based on their positional coincidences, we associate one with a pulsar PSR J2032+4127 and the other mainly with a pulsar wind nebula PWN G75.2+0.1, with the pulsar moving away from its original birthplace situated around the centroid of the observed gamma-ray emission. This work would stimulate further studies of particle acceleration mechanisms at these gamma-ray sources.
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Affiliation(s)
- M Amenomori
- Department of Physics, Hirosaki University, Hirosaki 036-8561, Japan
| | - Y W Bao
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - X J Bi
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - D Chen
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - T L Chen
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - W Y Chen
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Xu Chen
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Chen
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - S W Cui
- Department of Physics, Hebei Normal University, Shijiazhuang 050016, China
| | - L K Ding
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J H Fang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - K Fang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - C F Feng
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - Zhaoyang Feng
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Z Y Feng
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - Qi Gao
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - A Gomi
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - Q B Gou
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Q Guo
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Y Guo
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H H He
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Z T He
- Department of Physics, Hebei Normal University, Shijiazhuang 050016, China
| | - K Hibino
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - N Hotta
- Faculty of Education, Utsunomiya University, Utsunomiya 321-8505, Japan
| | - Haibing Hu
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - H B Hu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J Huang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - H Y Jia
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - L Jiang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - P Jiang
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - H B Jin
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - K Kasahara
- Faculty of Systems Engineering, Shibaura Institute of Technology, Omiya 330-8570, Japan
| | - Y Katayose
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - C Kato
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - S Kato
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - K Kawata
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - M Kozai
- Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (ISAS/JAXA), Sagamihara 252-5210, Japan
| | - D Kurashige
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - G M Le
- National Center for Space Weather, China Meteorological Administration, Beijing 100081, China
| | - A F Li
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
- School of Information Science and Engineering, Shandong Agriculture University, Taian 271018, China
| | - H J Li
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - W J Li
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
| | - Y Li
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - Y H Lin
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - B Liu
- Department of Astronomy, School of Physical Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J S Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - L Y Liu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - M Y Liu
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - W Liu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X L Liu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - Y-Q Lou
- Department of Physics and Tsinghua Centre for Astrophysics (THCA), Tsinghua University, Beijing 100084, China
- Tsinghua University-National Astronomical Observatories of China (NAOC) Joint Research Center for Astrophysics, Tsinghua University, Beijing 100084, China
- Department of Astronomy, Tsinghua University, Beijing 100084, China
| | - H Lu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X R Meng
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - K Munakata
- Department of Physics, Shinshu University, Matsumoto 390-8621, Japan
| | - H Nakada
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - Y Nakamura
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - Y Nakazawa
- College of Industrial Technology, Nihon University, Narashino 275-8575, Japan
| | - H Nanjo
- Department of Physics, Hirosaki University, Hirosaki 036-8561, Japan
| | - C C Ning
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - M Nishizawa
- National Institute of Informatics, Tokyo 101-8430, Japan
| | - M Ohnishi
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - T Ohura
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - S Okukawa
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - S Ozawa
- National Institute of Information and Communications Technology, Tokyo 184-8795, Japan
| | - L Qian
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - X Qian
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - X L Qian
- Department of Mechanical and Electrical Engineering, Shangdong Management University, Jinan 250357, China
| | - X B Qu
- College of Science, China University of Petroleum, Qingdao 266555, China
| | - T Saito
- Tokyo Metropolitan College of Industrial Technology, Tokyo 116-8523, Japan
| | - M Sakata
- Department of Physics, Konan University, Kobe 658-8501, Japan
| | - T Sako
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - T K Sako
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - J Shao
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - M Shibata
- Faculty of Engineering, Yokohama National University, Yokohama 240-8501, Japan
| | - A Shiomi
- College of Industrial Technology, Nihon University, Narashino 275-8575, Japan
| | - H Sugimoto
- Shonan Institute of Technology, Fujisawa 251-8511, Japan
| | - W Takano
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - M Takita
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - Y H Tan
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - N Tateyama
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - S Torii
- Research Institute for Science and Engineering, Waseda University, Tokyo 162-0044, Japan
| | - H Tsuchiya
- Japan Atomic Energy Agency, Tokai-mura 319-1195, Japan
| | - S Udo
- Faculty of Engineering, Kanagawa University, Yokohama 221-8686, Japan
| | - H Wang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y P Wang
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - H R Wu
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Q Wu
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - J L Xu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - L Xue
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - Y Yamamoto
- Department of Physics, Konan University, Kobe 658-8501, Japan
| | - Z Yang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Y Q Yao
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - J Yin
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - Y Yokoe
- Institute for Cosmic Ray Research, University of Tokyo, Kashiwa 277-8582, Japan
| | - N P Yu
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - A F Yuan
- Department of Mathematics and Physics, Tibet University, Lhasa 850000, China
| | - L M Zhai
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - C P Zhang
- National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
| | - H M Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - J L Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X Zhang
- School of Astronomy and Space Science, Nanjing University, Nanjing 210093, China
| | - X Y Zhang
- Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao 266237, China
| | - Y Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Yi Zhang
- Key Laboratory of Dark Matter and Space Astronomy, Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210034, China
| | - Ying Zhang
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - S P Zhao
- Key Laboratory of Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - X X Zhou
- Institute of Modern Physics, SouthWest Jiaotong University, Chengdu 610031, China
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Wang W, Zhang W, Zhang Y, Gan Y, Qian L, Zhou D. CIRCULATING TUMOR DNA BY HIGH‐THROUGHPUT SEQUENCING OF T CELL RECEPTOR MONITORED TREATMENT RESPONSE AND PREDICTED TREATMENT FAILURE IN T CELL LYMPHOMAS. Hematol Oncol 2021. [DOI: 10.1002/hon.136_2880] [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: 11/10/2022]
Affiliation(s)
- W Wang
- peking union medical college hospital, hematology Beijing China
| | - W Zhang
- peking union medical college hospital, hematology Beijing China
| | - Y Zhang
- peking union medical college hospital, hematology Beijing China
| | - Y Gan
- peking union medical college hospital, hematology Beijing China
| | - L Qian
- peking union medical college hospital, hematology Beijing China
| | - D Zhou
- peking union medical college hospital, hematology Beijing China
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Long X, Liu D, Gao Q, Ni J, Qian L, Ni Y, Fang Q, Jia W, Li H. Bifidobacterium adolescentis Alleviates Liver Steatosis and Steatohepatitis by Increasing Fibroblast Growth Factor 21 Sensitivity. Front Endocrinol (Lausanne) 2021; 12:773340. [PMID: 35035378 PMCID: PMC8756294 DOI: 10.3389/fendo.2021.773340] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/06/2021] [Indexed: 12/12/2022] Open
Abstract
The gut microbiota is a newly identified contributor to the development of non-alcoholic fatty liver disease (NAFLD). Previous studies of Bifidobacterium adolescentis (B. adolescentis), a species of Bifidobacterium that is common in the human intestinal tract, have demonstrated that it can alleviate liver steatosis and steatohepatitis. Fibroblast growth factor 21 (FGF21) has long been considered as a biomarker of NAFLD, and recent studies have shown the protective effect of FGF21 analogs on NAFLD. We wondered whether B. adolescentis treatment would alleviate NAFLD via the interaction with FGF21. To this end, male C57BL/6J mice on a choline-deficient high-fat diet (CDHFD) were treated with drinking water supplemented with B. adolescentis for 8 weeks, followed by the acute administration of recombinant mouse FGF21 protein (rmFGF21) to conduct the FGF21 response test. Consistent with previous studies, B. adolescentis supplementation reversed the CDHFD-induced liver steatosis and steatohepatitis. This was evaluated on the NAFLD activity score (NAS), reduced liver enzymes, and lipid accumulation. Further studies demonstrated that B. adolescentis supplementation preserved the gut barrier, reduced the gut microbiota-derived lipopolysaccharide (LPS), and inhibited the hepatic TLR4/NF-κB pathway. This was accompanied by the elevated expressions of the receptors of FGF21, fibroblast growth factor receptor 1 (FGFR1) and β-klotho (KLB), in the liver and the decreased expression of FGF21. The results of FGF21 response test showed that B. adolescentis supplementation alleviated the CDHFD-induced FGF21 resistance. In vivo experiments suggested that LPS could suppress the expression of FGF21 and KLB in a dose-dependent manner. Collectively, this study showed that B. adolescentis supplementation could alleviate NAFLD by increasing FGF21 sensitivity.
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Affiliation(s)
- Xiaoxue Long
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dan Liu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiongmei Gao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Jiacheng Ni
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Lingling Qian
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Yueqiong Ni
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Jena, Germany
| | - Qichen Fang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- *Correspondence: Weiping Jia, ; Huating Li,
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China
- *Correspondence: Weiping Jia, ; Huating Li,
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Tao Z, Qiu J, Zhang Y, Qian L, Gao J, Zhou Y, Yang L, He J, Yang J, Wang R, Huang Y, Zhou L, Sun B, Cui Y. Chemoradiotherapy alone or in combination with Endostar for patients with advanced non-small cell lung cancer: A systematic review and meta-analysis. INT J RADIAT RES 2021. [DOI: 10.29252/ijrr.19.1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Li S, Zhou L, Chen R, Chen Y, Niu Z, Qian L, Fang Y, Xu L, Xu H, Zhang L. Diagnostic efficacy of contrast-enhanced ultrasound versus MRI Liver Imaging Reporting and Data System (LI-RADS) for categorising hepatic observations in patients at risk of hepatocellular carcinoma. Clin Radiol 2020; 76:161.e1-161.e10. [PMID: 33198943 DOI: 10.1016/j.crad.2020.10.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 10/08/2020] [Indexed: 12/12/2022]
Abstract
AIM To investigate the diagnostic efficacy of the contrast-enhanced ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) for categorising hepatic observations in patients at risk of hepatocellular carcinoma (HCC) compared with magnetic resonance imaging (MRI) LI-RADS. MATERIALS AND METHODS CEUS and MRI data were analysed retrospectively according to the LI-RADS scheme. Follow-up results and pathological findings served as the reference standard. Receiver operating characteristic (ROC) curve analysis was used to reveal the area under the curve (AUC). The sensitivity, specificity, accuracy, and positive (PPV) and negative predictive values (NPV) of LR-5 for determining HCC were calculated. The intra-observer agreement of CEUS LI-RADS was also evaluated. RESULTS Eighty-four patients with 86 liver observations were enrolled. Forty-two observations were classified as LR-5 by CEUS and MRI, respectively. Based on the reference standard, 53 nodules were HCC. The AUCs were 0.876 for CEUS and 0.873 for MRI, without a significant difference (Z=0.050, p=0.960). The sensitivity, specificity, PPV, NPV, and accuracy of LR-5 was 75.47%, 93.94%, 95.24%, 70.45%, 82.56% with CEUS and 73.58%, 90.9%, 92.86%, 68.18%, 80.23% with MRI, respectively. There was a significant difference in specificity between CEUS and MRI (p=0.006). There was almost perfect agreement for arterial phase hyperenhancement (k=0.870), substantial agreement for washout (k=0.765) and CEUS LI-RADS category (k=0.787). CONCLUSION The CEUS LI-RADS scheme is an effective diagnostic tool for HCC with substantial intra-observer reliability. The diagnostic performance of CEUS LI-RADS for determining HCC was comparable to MRI LI-RADS, and the specificity of CEUS LR-5 was significantly higher.
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Affiliation(s)
- S Li
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - L Zhou
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - R Chen
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Y Chen
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Z Niu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - L Qian
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Y Fang
- Department of Oncology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - L Xu
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - H Xu
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - L Zhang
- Department of Ultrasound, Affiliated Hangzhou First People's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
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Cui Y, Huo Y, Li X, Yang G, Huang Z, Zhao X, Qi L, Deng H, Zheng S, An P, Sun X, Li H, Wu X, Qian L. Tafolecimab, a novel potential long-acting PCSK9 monoclonal antibody: efficacy and safety in healthy and hypercholesterolemia subjects. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
LDL cholesterol (LDL-C) is a well-established risk factor for cardiovascular disease. PCSK9 binds LDL receptors, targeting them for degradation. The dosing intervals for currently available PCSK9 monoclonal antibodies are once every 2 or 4 weeks. Tafolecimab, a novel recombinant human PCSK9 monoclonal antibody, was found to have higher affinity with PCSK9 and show longer LDL-C reduction compared to evolocumab in preclinical studies.
Purposes
The objectives for the SAD and MAD studies were to investigate the safety and efficacy of tafolecimab and explore the optimal dosing schedule.
Methods
The phase 1 study was a randomized, placebo-controlled, double-blind, single-ascending dose study (SAD) in Chinese healthy subjects, who were randomized 3:1 to tafolecimab and placebo (n=58). SAD subjects received tafolecimab subcutaneously at 25/75/150/300/450/600mg, or intravenously at 75/450mg, monitored up to day 84. The phase 2 study was a randomized, double-blind, placebo-controlled, repeated-dosing, multiple ascending dose (MAD) study in patients with hypercholesterolemia, who were randomized 4:1 to tafolecimab and placebo (n=60). MAD subjects received tafolecimab subcutaneously at 75/140mg every 2 weeks, 300/420mg every 4weeks, 450/600mg every 6 weeks up to day 84 or 98 with 3 months follow-up.
Results
In the SAD, the maximum mean reduction in LDL-C ranged from 52.2% to 72.1% and was achieved as early as 5 days (figure 1a). The duration of LDL-C reduction was tafolecimab dose dependent. In the MAD, the mean LDL-C concentrations were reduced by tafolecimab for each dose at 12 weeks relative to baseline (ranging from 54.30% to 72.26%; p<0.001). Particularly, a 56.52% (−72.50%, −40.54%) reduction of LDL-C was observed in the cohort of 600mg Q6W. The effect sustained till week 14 (8 weeks after the last dose) where there was still a 43.46% (−60.96%, −25.96%) reduction from baseline (figure 1b). The mean reduction of Lp(a) at week 12 ranged from 24.04% to 50.59% relative to baseline. Tafolecimab reduced the other lipids when comparing with placebo. The pharmacokinetics/pharmadynamics (LDL-C) profiles of tafolecimab were well characterised and support the potential dosing interval of 6–8 weeks subcutaneously.
Both healthy and hypercholesterolemia subjects are generally tolerable to tafolecimab. Reported treatment-emergent adverse events (TEAEs) were: tafolecimab 23 (52.3%) vs. placebo 8 (57.1%); tafolecimab 34 (70.8%) vs. placebo 9 (75.0%) in the SAD and MAD respectively. There were no serious TEAEs or events leading to death or treatment discontinuation in both SAD and MAD.
Conclusions
Tafolecimab was well tolerated in both healthy and hypercholesterolemia in Chinese subjects, and improved lipid profile including LDL-C, Lp(a) and other lipids. The sustained effects on LDL-C suggests the potential of tafolecimab as a long-lasting PCSK9 inhibitor with dosing interval of 6–8 weeks or beyond.
Figure 1. LDL-C: Percent change from baseline
Funding Acknowledgement
Type of funding source: Private company. Main funding source(s): Innovent Biologics (Suzhou), China
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Affiliation(s)
- Y Cui
- Peking University First Hospital, Department of pharmacy, Beijing, China
| | - Y Huo
- Peking University First Hospital, Department of cardiology, Beijing, China
| | - X Li
- The third hospital of Changsha, Department of pharmacy, Changsha, China
| | - G Yang
- The third Xiangya hospital of Central South University, School of pharmaceutical science, Changsha, China
| | - Z Huang
- The third Xiangya hospital of Central South University, Clinical trial research center, Changsha, China
| | - X Zhao
- Peking University First Hospital, Department of pharmacy, Beijing, China
| | - L Qi
- Peking University First Hospital, Department of cardiology, Beijing, China
| | - H Deng
- Innovent Biologics (Suzhou), Suzhou, China
| | - S Zheng
- Innovent Biologics (Suzhou), Suzhou, China
| | - P An
- Innovent Biologics (Suzhou), Suzhou, China
| | - X Sun
- Innovent Biologics (Suzhou), Suzhou, China
| | - H Li
- Innovent Biologics (Suzhou), Suzhou, China
| | - X Wu
- Innovent Biologics (Suzhou), Suzhou, China
| | - L Qian
- Innovent Biologics (Suzhou), Suzhou, China
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El Kadi S, Qian L, Zeng P, Lof J, Stolze E, Xie F, Kamp O, Van Rossum A, Porter T. Efficacy of sonothrombolysis using acoustically activated perflutren nanodroplets versus perflutren microbubbles. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.1455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Background
The use of intermittent high mechanical index (HMI) ultrasound impulses in combination with intravenously administered microbubbles (MB) has been shown to dissolve arterial and microvascular thrombi. The recent development of liquid droplets with nanoscale diameter from commercially available microbubbles may optimize thrombus permeation and subsequent thrombus dissolution.
Methods
Thrombi were formed from fresh porcine arterial whole blood mixed with thrombin, and placed in a vascular system mimicking branching epicardial coronary circulation (Figure 1A) at 37 Celsius and flow rate. A diagnostic ultrasound system with a tissue mimicking phantom was placed on top of the thrombus to simulate transthoracic echocardiography. Thrombus treatment consisted of a 10-minute infusion of either diluted nanodroplets (ND) or MB (same concentration) with intermittent HMI fundamental multipulse (3 usec pulse duration; FUS) or single pulse harmonic (HUS) impulses. All treatments were randomized and compared with HMI impulses alone. Efficacy was evaluated by percentage thrombus dissolution (%TD). Transmission electron microscopy (TEM) of residual thrombi after treatment was performed to examine for droplet permeation and resultant formed microbubble size.
Results
A relatively monodisperse nanodroplets size distribution was formed from microbubble cooled compression (mean diameter was 147±54 nm). A total of 60 porcine arterial thrombi were tested, 20 in each MB and ND treated group (20 control). Overall, there was a significant difference in %TD between ND treated thrombi (combining HUS and FUS HMI treated groups) versus MB treated thrombi and control (p<0.0001 and p=0.02, respectively; ANOVA, Figure 1B). The highest %TD was seen in the FUS HMI treated ND group (mean 51±17%; Figure 1B). TEM of the DND treated group demonstrated significant expansion (diameters of 6 microns; Figure 1 C) of acoustically activated droplets embedded within the thrombi.
Conclusion
ND in combination with intermittent HMI ultrasound resulted in significantly greater thrombolysis compared to MB. In-vivo studies on nanodroplet mediated sonothrombolysis for vascular and microvascular thrombi should be performed with this modification of a commercially available microbubble.
Figure 1
Funding Acknowledgement
Type of funding source: Foundation. Main funding source(s): Theodore F. Hubbard Foundation
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Affiliation(s)
- S El Kadi
- Amsterdam UMC - Location VUmc, Amsterdam, Netherlands (The)
| | - L Qian
- The First Affiliated Hospital of Nanjing Medical University, Cardiology, Nanjing, China
| | - P Zeng
- University of Nebraska Medical Center, Cardiology, Omaha, United States of America
| | - J Lof
- University of Nebraska Medical Center, Cardiology, Omaha, United States of America
| | - E Stolze
- University of Nebraska Medical Center, Cardiology, Omaha, United States of America
| | - F Xie
- University of Nebraska Medical Center, Cardiology, Omaha, United States of America
| | - O Kamp
- Amsterdam UMC - Location VUmc, Amsterdam, Netherlands (The)
| | - A.C Van Rossum
- Amsterdam UMC - Location VUmc, Amsterdam, Netherlands (The)
| | - T.R Porter
- University of Nebraska Medical Center, Cardiology, Omaha, United States of America
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Bian Y, Xie X, Shen J, Yao M, Dong X, Qian L, Qu Y. 1658P The landscape of NTRK fusions in Chinese sarcoma patients. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1884] [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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Wu L, Qian L, Zhang L, Zhang J, Zhou J, Li Y, Hou X, Fang Q, Li H, Jia W. Fibroblast Growth Factor 21 is Related to Atherosclerosis Independent of Nonalcoholic Fatty Liver Disease and Predicts Atherosclerotic Cardiovascular Events. J Am Heart Assoc 2020; 9:e015226. [PMID: 32431189 PMCID: PMC7428997 DOI: 10.1161/jaha.119.015226] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [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: 12/03/2019] [Accepted: 04/17/2020] [Indexed: 11/16/2022]
Abstract
Background FGF21 (fibroblast growth factor 21), a novel hepatokine regulating lipid metabolism, has been linked to atherosclerotic disease. However, whether this relationship exists in patients without nonalcoholic fatty liver disease is unclear. We assessed the association between serum FGF21 levels and atherosclerosis in patients without nonalcoholic fatty liver disease, and investigated whether baseline FGF21 could predict incident atherosclerotic cardiovascular disease in a 7-year prospective cohort. Methods and Results Baseline serum FGF21 was measured in a cross-sectional cohort of 371 patients with type 2 diabetes mellitus without nonalcoholic fatty liver disease (determined by hepatic magnetic resonance spectroscopy), and in a population-based prospective cohort of 705 patients from the Shanghai Diabetes Study. In the cross-sectional study, FGF21 was significantly higher in patients with than in those without subclinical carotid atherosclerosis (P<0.01). The association remained significant after adjusting for demographic and traditional cardiovascular risk factors. In the prospective cohort, 80 patients developed atherosclerotic cardiovascular disease during follow-up. Baseline FGF21 was significantly higher in those who developed ischemic heart disease or cerebral infarction than in those who did not. Using a cutoff serum concentration of 232.0 pg/mL, elevated baseline FGF21 independently predicted incident total atherosclerotic cardiovascular disease events, ischemic heart disease, and cerebral infarction in a nondiabetic population (all P<0.05), and significantly improved the discriminatory and reclassifying abilities of our prediction model after adjustment for established cardiovascular risk factors. Conclusions This study provides the first evidence that FGF21 levels are elevated in patients without nonalcoholic fatty liver disease with subclinical atherosclerosis. Baseline FGF21 is an independent predictor of atherosclerotic cardiovascular disease and represents a novel biomarker for primary prevention in the general population.
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Affiliation(s)
- Liang Wu
- Department of Endocrinology and MetabolismShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
- Shanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center of DiabetesShanghaiChina
| | - Lingling Qian
- Department of Endocrinology and MetabolismShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
- Shanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center of DiabetesShanghaiChina
- Department of MedicineShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Lei Zhang
- Department of Endocrinology and MetabolismShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
- Shanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center of DiabetesShanghaiChina
- Department of MedicineShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jing Zhang
- Department of Endocrinology and MetabolismShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
- Shanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center of DiabetesShanghaiChina
- Department of MedicineShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jia Zhou
- Department of RadiologyShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
| | - Yuehua Li
- Department of RadiologyShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
| | - Xuhong Hou
- Department of Endocrinology and MetabolismShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
- Shanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center of DiabetesShanghaiChina
| | - Qichen Fang
- Department of Endocrinology and MetabolismShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
- Shanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center of DiabetesShanghaiChina
| | - Huating Li
- Department of Endocrinology and MetabolismShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
- Shanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center of DiabetesShanghaiChina
| | - Weiping Jia
- Department of Endocrinology and MetabolismShanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina
- Shanghai Key Laboratory of Diabetes MellitusShanghai Clinical Center of DiabetesShanghaiChina
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Koster K, Largen A, Qian L, Sen-Crowe B, Douglas J. Mycobacterium tuberculosis lineages in Hawaii demonstrate distinctive demographic and migration characteristics. Public Health 2020; 182:13-18. [DOI: 10.1016/j.puhe.2020.01.010] [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] [Received: 03/20/2019] [Revised: 12/20/2019] [Accepted: 01/11/2020] [Indexed: 10/24/2022]
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Qian L, Zhang L, Wu L, Zhang J, Fang Q, Hou X, Gao Q, Li H, Jia W. Elevated Serum Level of Cytokeratin 18 M65ED Is an Independent Indicator of Cardiometabolic Disorders. J Diabetes Res 2020; 2020:5198359. [PMID: 32337295 PMCID: PMC7150704 DOI: 10.1155/2020/5198359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 02/17/2020] [Accepted: 02/28/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Recent studies have suggested that cell death might be involved in the pathophysiology of metabolic disorders. The cytokeratin 18 (CK18) fragment, as a cell death marker, plays an important role in nonalcoholic fatty liver disease (NAFLD). However, only a limited number of studies have found elevated serum levels of CK18 in patients with type 2 diabetes. Moreover, no studies have been conducted yet to investigate the role of CK18 in hypertension or dyslipidemia. In particular, CK18 M65ED is a more sensitive marker of cell death, and its role in cardiometabolic disorders has not been revealed yet. METHODS A total of 588 subjects were enrolled from the local communities of Shanghai. Serum CK18 M65ED were determined using the enzyme-linked immunosorbent assay. A cardiometabolic disorder was identified by the presence of at least one of the components including overweight or central obesity, diabetes, dyslipidemia, and hypertension. RESULTS Subjects with cardiometabolic disorders exhibited significantly higher serum levels of CK18 M65ED than those without cardiometabolic disorders (197.36 (121.13-354.50) U/L versus 83.85 (52.80-153.75) U/L, respectively, P < 0.001). Increased serum CK18 M65ED quartiles were associated with the increased prevalence of cardiometabolic disorders and its components (P < 0.001 for all components). Multiple stepwise regression analysis also revealed that diastolic blood pressure, glycated hemoglobin A1c, alanine transaminase, and high-density lipoprotein cholesterol were independently correlated with serum CK18 M65ED levels (all P < 0.01). In addition, logistic regression analysis showed that the serum CK18 M65ED levels were positively correlated with cardiometabolic disorders and in an independent manner. Further, CK18 M65ED was revealed to be an indicator of cardiometabolic disorders in a NAFLD-independent manner. CONCLUSIONS Elevated levels of CK18 M65ED, a sensitive cell death marker, were independently and positively correlated with cardiometabolic disorders, even after the adjustment for the presence of NAFLD and other cardiovascular risk factors.
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Affiliation(s)
- Lingling Qian
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
- Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Lei Zhang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
| | - Liang Wu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
| | - Jing Zhang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
| | - Qichen Fang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
| | - Xuhong Hou
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
| | - Qiongmei Gao
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai 200233, China
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Chen H, Qian L, Jiang M, Du Q, Yuan F, Feng W. Performance of IOTA ADNEX model in evaluating adnexal masses in a gynecological oncology center in China. Ultrasound Obstet Gynecol 2019; 54:815-822. [PMID: 31152572 DOI: 10.1002/uog.20363] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 05/21/2019] [Accepted: 05/23/2019] [Indexed: 06/09/2023]
Abstract
OBJECTIVE To evaluate the diagnostic accuracy of the International Ovarian Tumor Analysis (IOTA) Assessment of Different NEoplasias in the adneXa (ADNEX) model in the preoperative diagnosis of adnexal masses using data from a gynecological oncology center in China. METHODS This was a single-center, retrospective diagnostic accuracy study based on ultrasound data collected prospectively, between May and December 2017, from 278 patients with at least one adnexal (ovarian, paraovarian or tubal) mass. Clinical and pathologic information, serum CA 125 level and ultrasonographic findings were collected. All patients underwent surgery and the histopathological diagnosis was used as reference standard. The final diagnosis was classified into five tumor types according to the ADNEX model: benign ovarian tumor, borderline ovarian tumor (BOT), Stage-I ovarian cancer (OC), Stages-II-IV OC and ovarian metastasis. Receiver-operating characteristics (ROC) curve analysis was used to evaluate the diagnostic accuracy of the ADNEX model, with and without inclusion of CA 125 level in the model. RESULTS Of the 278 women included, 203 (73.0%) had a benign ovarian tumor and 75 (27.0%) had a malignant ovarian tumor, including 18 (6.5%) with BOT, 17 (6.1%) with Stage-I OC, 32 (11.5%) with Stages-II-IV OC and eight (2.9%) with ovarian metastasis. The performance of the IOTA ADNEX model was good for discriminating between benign and malignant tumors, with an area under the ROC curve (AUC) of 0.94 (95% CI, 0.91-0.97) when CA 125 was included in the model and AUC of 0.93 (95% CI, 0.90-0.96) without CA 125. The AUC values of the model including CA 125 ranged between 0.61 and 0.99 for distinguishing between the different types of tumor, and it showed excellent performance in discriminating between a benign ovarian tumor and Stages-II-IV OC, with an AUC of 0.99 (95% CI, 0.97-1.00). The performance of the model was less effective at distinguishing between BOT and Stage-I OC and between Stages-II-IV OC and ovarian metastasis, with AUC values of 0.61 (95% CI, 0.43-0.77) and 0.78 (95% CI, 0.62-0.90), respectively. Although inclusion of CA 125 did not alter the performance of the ADNEX model in discriminating between benign and malignant lesions (AUC of 0.94 and 0.93 with and without CA 125 level, respectively; P = 0.54), the inclusion of CA 125 in the model improved its performance in discriminating between Stage-I OC and Stages-II-IV OC (AUC increased from 0.81 to 0.92; P = 0.04) and between Stages-II-IV OC and metastatic cancer (AUC increased from 0.58 to 0.78; P = 0.01). CONCLUSIONS The IOTA ADNEX model showed good to excellent performance in distinguishing between benign and malignant adnexal masses and between the different types of ovarian tumor in a Chinese setting. Based on our findings, the ADNEX model has high value in clinical practice and can aid in the preoperative diagnosis of patients with an adnexal mass. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- H Chen
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - L Qian
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - M Jiang
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - Q Du
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - F Yuan
- Department of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
| | - W Feng
- Department of Obstetrics and Gynecology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P.R. China
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Qian L, Ji AH, Zhang WJ, Zhao N. HuR, TTP, and miR-133b expression in NSCLC and their association with prognosis. Eur Rev Med Pharmacol Sci 2019; 22:430-442. [PMID: 29424924 DOI: 10.26355/eurrev_201801_14192] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE This study sought to explore HuR, Thrombotic Thrombocytopenic Purpura (TTP), and microRNA 133b (miR-133b) expression levels in non-small cell lung cancer (NSCLC) patients and assess the relationship of expression with disease prognosis. PATIENTS AND METHODS One hundred and ten paraffin-embedded and 33 fresh flash-frozen NSCLC samples, together with matched tumor adjacent normal tissue controls, were collected from patients between January 2013 and July 2015 in Yidu Central Hospital of Weifang. Twenty-nine patients provided both paraffin-embedded and fresh frozen tissues. HuR and TTP protein expression levels were measured in 110 paraffin-embedded tumors and matched controls using immunohistochemistry, while miR-133b levels were measured using Real-time fluorescent quantitative PCR. RESULTS Follow-up parameters included treatment response, relapse events, post-relapse treatment, disease free survival (DFS), and overall survival (OS). HuR expression was significantly different between tumor and matched controls (p < 0.0001). Cytoplasmic expression levels of HuR and TTP correlated with pTNM staging (p < 0.05). No significant correlation was observed between HuR and TTP expression and other clinical pathological factors (gender, age, tumor size, pathological subtype, differentiation status, lymph node metastasis, distant metastasis, and tumor invasiveness). MiR-133b expression correlated with tumor size (p = 0.015) and differentiation status (p = 0.013) in paraffin-embedded sections, but was only correlated with pTNM staging (p = 0.032) in frozen tissue samples. No significant difference in DFS nor OS was observed between 68 HuR-positive and 42 HuR-negative patients (DFS, Log Rank p = 0.712; OS, Log Rank p = 0.220). However, DFS and OS were significantly different between miR-133b high-expression and low-expression patients (DFS, Log Rank p = 0.048 < 0.05; OS, Log Rank p = 0.025 < 0.05). This indicates that miR-133b levels may have prognostic value. CONCLUSIONS HuR expression was negatively correlated with TTP expression in NSCLC tissues. MiR-133b levels were downregulated in normal tissues compared to both paraffin and frozen tumor samples, and correlated with both HuR and TTP expression, which may affect the prognosis of NSCLC patients.
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Affiliation(s)
- L Qian
- Department of Thoracic Surgery, Yidu Central Hospital of Weifang, Weifang, Shandong Province, China.
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Qi S, Yang Y, Liu W, Zhang L, Su H, Yang Y, He X, Qu B, Qian L, Hou X, Wang H, Li G, Zhang Y, Qiao X, Zhu Y, Cao J, Wu J, Wu T, Zhu S, Shi M, Xu L, Li Y. TREATMENT BENEFIT ASSOCIATING WITH NON-ANTHRACYCLINE CHEMOTHERAPY IN EXTRANODAL NK/T-CELL LYMPHOMA, NASAL TYPE. Hematol Oncol 2019. [DOI: 10.1002/hon.65_2629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- S. Qi
- Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital; Chinese Academy of Medical Scidences and Peking Union Medical College; Beijing China
| | - Y. Yang
- Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital; Chinese Academy of Medical Scidences and Peking Union Medical College; Beijing China
| | - W. Liu
- Medical Oncology; Peking University Cancer Hospital & Institute; Beijing China
| | - L. Zhang
- Oncology; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology; Wuhan China
| | - H. Su
- Oncology; 307 Hospital, Academy of Military Medical Science; Beijing China
| | - Y. Yang
- Radiation Oncology; Chongqing Cancer Hospital & Cancer Institute; Chongqing China
| | - X. He
- Radiation Oncology; Chongqing Cancer Hospital & Cancer Institute; Chongqing China
| | - B. Qu
- Radiation Oncology; The General Hospital of Chinese People's Liberation Army; Beijing China
| | - L. Qian
- Radiation Oncology; The Affiliated Provincial Hospital of Anhui Medical University; HEFEI China
| | - X. Hou
- Radiation Oncology; Peking Union Medical College Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC); Beijing China
| | - H. Wang
- Radiation Oncology; Jiangxi Cancer Hospital; Nanchang China
| | - G. Li
- Radiation Oncology; Beijing Hospital of the Ministry of Health; Beijing China
| | - Y. Zhang
- Radiation Oncolocy, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangzhou China
| | - X. Qiao
- Radiation Oncology; The Fourth Hospital of Hebei Medical University; Shijiazhuang China
| | - Y. Zhu
- Radiation Oncology; Zhejiang Cancer Hospital; Hangzhou China
| | - J. Cao
- Radiation Oncology; Shanxi Cancer Hospital and the Affiliated Cancer Hospital of Shanxi Medical University; Taiyuan China
| | - J. Wu
- Radiation Oncology; Fujian Provincial Cancer Hospital; Fuzhou China
| | - T. Wu
- Radiation Oncology; Affiliated Hospital of Guizhou Medical University, Guizhou Cancer Hospital; Guiyang China
| | - S. Zhu
- Radiation Oncology; Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine; Changsha China
| | - M. Shi
- Radiation Oncology; Xijing Hospital, Fourth Military Medical University; Xian China
| | - L. Xu
- Radiation Oncology; Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer; Tianjin China
| | - Y. Li
- Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital; Chinese Academy of Medical Scidences and Peking Union Medical College; Beijing China
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Qian L, Fei Q, Zhang Y, Guo W, Bian X, Yin L, Yan P, Wang T, Qian P, Guo Z, He X. PO-0746 The utility of functional magnetic resonance imaging in target delineation of high-grade gliomas. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)31166-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Zhang L, Ouyang Y, Li H, Shen L, Ni Y, Fang Q, Wu G, Qian L, Xiao Y, Zhang J, Yin P, Panagiotou G, Xu G, Ye J, Jia W. Metabolic phenotypes and the gut microbiota in response to dietary resistant starch type 2 in normal-weight subjects: a randomized crossover trial. Sci Rep 2019; 9:4736. [PMID: 30894560 PMCID: PMC6426958 DOI: 10.1038/s41598-018-38216-9] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Accepted: 12/21/2018] [Indexed: 12/18/2022] Open
Abstract
Resistant starch (RS) has been reported to reduce body fat in obese mice. However, this effect has not been demonstrated in humans. In this study, we tested the effects of RS in 19 volunteers with normal body weights. A randomized, double-blinded and crossover design clinical trial was conducted. The study subjects were given either 40 g high amylose RS2 or energy-matched control starch with three identical diets per day throughout the study. The effect of RS was evaluated by monitoring body fat, glucose metabolism, gut hormones, gut microbiota, short-chain fatty acids (SCFAs) and metabolites. The visceral and subcutaneous fat areas were significantly reduced following RS intake. Acetate and early-phase insulin, C-peptide and glucagon-like peptide-1 (GLP-1) secretion were increased, and the low-density lipoprotein cholesterol (LDL-C) and blood urea nitrogen (BUN) levels were decreased after the RS intervention. Based on 16S rRNA sequencing, certain gut microbes were significantly decreased after RS supplementation, whereas the genus Ruminococcaceae_UCG-005 showed an increase in abundance. Other potential signatures of the RS intervention included Akkermansia, Ruminococcus_2, Victivallis, and Comamonas. Moreover, the baseline abundance of the genera Streptococcus, Ruminococcus_torques_group, Eubacterium_hallii_group, and Eubacterium_eligens_group was significantly associated with the hormonal and metabolic effects of RS. These observations suggest that a daily intake of 40 g of RS is effective in modulating body fat, SCFAs, early-phase insulin and GLP-1 secretion and the gut microbiota in normal-weight subjects.
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Affiliation(s)
- Lei Zhang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai, 200233, China.,Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yang Ouyang
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai, 200233, China.
| | - Li Shen
- Department of Clinical Nutrition, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Yueqiong Ni
- Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute (HKI), Department of Systems Biology and Bioinformatics, Beutenbergstraße 11a, 07745, Jena, Germany.,Systems Biology & Bioinformatics Group, School of Biological Sciences and Department of Microbiology, The University of Hong Kong, Hong Kong, S.A.R., China
| | - Qichen Fang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai, 200233, China
| | - Guangyu Wu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai, 200233, China.,Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lingling Qian
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai, 200233, China.,Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yunfeng Xiao
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China
| | - Jing Zhang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai, 200233, China.,Department of Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Peiyuan Yin
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China
| | - Gianni Panagiotou
- Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute (HKI), Department of Systems Biology and Bioinformatics, Beutenbergstraße 11a, 07745, Jena, Germany.,Systems Biology & Bioinformatics Group, School of Biological Sciences and Department of Microbiology, The University of Hong Kong, Hong Kong, S.A.R., China
| | - Guowang Xu
- CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
| | - Jianping Ye
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai, 200233, China.,Antioxidant and Gene Regulation Laboratory, Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital; Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center of Diabetes, Shanghai, 200233, China.
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Qian L, Dong YB, Zhao LL, Zhao HJ, Cui JW, Wang NY. Survival prediction with score model based on clinical characteristics in advanced HCC patients receiving oxaliplatin-containing regimens. Neoplasma 2019; 66:301-307. [PMID: 30509107 DOI: 10.4149/neo_2018_180706n448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 10/16/2018] [Indexed: 11/08/2022]
Abstract
A score model based on clinical characteristics in advanced hepatocellular carcinoma (HCC) patients treated with systemic chemotherapy of oxaliplatin-containing regimens was established to evaluate progression-free survival (PFS) and overall survival (OS). Thirty HCC patients eligible for radical resection were involved in the retrospective study, and these were divided into the good response group (complete response (CR)/partial response (PR) and the poor response group (stable disease (SD)/progression disease (PD). The median PFS and OS were compared in the two groups. PFS and OS combined with clinical characteristics were evaluated by univariate and multivariate analyses. The score model was defined with 1 score for each characteristic, and score model cut-off values were determined by the receiver operating characteristic curve (ROC) which describes treatment response. The median PFS was 10 and 2 months (p<0.001), and the median OS was 13 and 4 months (p=0.011) for the CR/PR and SD/PD groups, respectively. The score of 1 was the optimal cutoff value, with sensitivity ranging from 52.6 to 63.2% and specificity from 81.8 to 100% (AUC= 0.773, p=0.014). The median PFS for good and poor response groups was 9 months and 1month (p<0.001) and the median OS was 22 and 3months at p<0.001, respectively. Patients with scores above 1 had poor response, with median 3 months OS and 1 month PFS, and patients with scores of 0 and 1 established good response, with median 22 months OS and 9 months PFS, respectively.
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Affiliation(s)
- L Qian
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Y B Dong
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - L L Zhao
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - H J Zhao
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - J W Cui
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - N Y Wang
- Cancer Center, The First Hospital of Jilin University, Changchun, China
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Qian L, Lu L, Huang L, Wen Q, Xie J, Jin W, Li H, Jiang L. The effect of neonatal maternal separation on short-chain fatty acids and airway inflammation in adult asthma mice. Allergol Immunopathol (Madr) 2019; 47:2-11. [PMID: 30458973 DOI: 10.1016/j.aller.2018.05.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 04/23/2018] [Accepted: 05/10/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND To investigate neonatal maternal separation (NMS) effects on airway inflammation of asthma and potential mechanism using a mouse model. METHODS 80 Balb/c neonatal male mice were randomly assigned to NMS and non-NMS groups. Feces were collected on PND21, 28, 35 and 42 to analyze microbiota and short-chain fatty acids (SCFAs). Non-NMS group were then divided into control (group A) and asthma groups (group B), while NMS group was assigned to NMS+asthma (group C) and NMS+SCFAs+asthma groups (group D). Inflammatory cells and eosinophils (EOS) in bronchoalveolar lavage fluid (BALF) were assessed. Pathological changes and cytokines in lung tissue were observed. Protein expression of Occludin and E-cadherin in airway epithelial was examined. RESULTS The number of S', diversity index H' and dominance index D', as well as content butyric acid in NMS group C were significantly lower than non-NMS group B (p<0.05). Mice in group C had a higher level of inflammatory cells and EOS compared with group A, B and D. EOS moderate infiltration was found in mice of group B, C and D. Mice in group C had significantly higher levels of cytokines and showed slightly increased bronchial epithelium goblet cells and a small amount of visceral secretions. Occludin and E-cadherin expression in lung in B, C and D groups was depressed, and protein level in group C was significantly lower than group B and D. CONCLUSIONS NMS is associated with exacerbated inflammation of adult asthma by changing intestinal microflora resulting in butanoic acid decline and airway epithelial barrier damage.
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Li W, Bai R, Qian L, Chen N, Zhao Y, Han F, Bai L, Li J, Yu Y, Cui J. P044 Cost-Effectiveness Analysis of Icotinib vs Whole-Brain Irradiation in NSCLC Patients with Brain Metastases. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.10.067] [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: 10/27/2022]
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46
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Li W, Qian L, Li W, Chen X, He H, Tian H, Zhao Y, Wang X, Cui J. P043 Cost-Effectiveness Analysis of Different Sequences of Osimertinib Administration for EGFR-Mutated Non-Small-Cell Lung Cancer. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.10.066] [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: 11/30/2022]
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47
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Qian L, Chu MING, Zhang YANJ. P842Speckle tracking imaging assesses the effect of Qili Qiangxin capsule on rat doxorubicin-induced cardiomyopathy. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy564.p842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- L Qian
- The First Affiliated Hospital of Nanjing Medical University, Cardiology, Nanjing, China People's Republic of
| | - M I N G Chu
- The First Affiliated Hospital of Nanjing Medical University, Cardiology, Nanjing, China People's Republic of
| | - Y A N J Zhang
- The First Affiliated Hospital of Nanjing Medical University, Cardiology, Nanjing, China People's Republic of
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48
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Qian L, Chu MING. P841Speckle tracking echocardiography for the efficacy and safety assessment of S100A4-shRNA in myocardial infarction. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy564.p841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- L Qian
- The First Affiliated Hospital of Nanjing Medical University, Cardiology, Nanjing, China People's Republic of
| | - M I N G Chu
- The First Affiliated Hospital of Nanjing Medical University, Cardiology, Nanjing, China People's Republic of
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Su F, He E, Qian L, Zhu Z, Wei L, Zeng Z, Qu W, Xu R, Yi Z. Complication Follow-up With Ultrasonographic Analyses of 91 Cases With Donor Gallbladder Preservation in Living Donor Liver Transplantation of Left Lateral Sectionectomies. Transplant Proc 2018; 50:217-221. [PMID: 29407312 DOI: 10.1016/j.transproceed.2017.12.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 10/22/2017] [Accepted: 12/05/2017] [Indexed: 02/08/2023]
Abstract
BACKGROUND Preserving the donor's gallbladder during living donor liver transplantation (LDLT) is a better method for liver transplantation surgery, but not enough is known about gallbladder complications after the operation. METHODS We retrospectively investigated postsurgical donor gallbladder complications in clinical LDLT with gallbladder preservation. The feasibility of retaining the gallbladder during liver graft procurement is discussed. Ninety-one donors with retained gallbladder after LDLT with the hepatic left lateral sectionectomy (from June 2013 to October 2015) were retrospectively analyzed. Donors were followed for 12.6 to 40.7 months after surgery (median 26.1 months). Sonography was used to evaluate gallbladder characteristics before and after surgery. RESULTS Gallbladder function had recovered to almost normal 1 month after transplantation. Four donors (4.40%) experienced gallbladder enlargement that resolved after 3 days. Thickening of the gallbladder wall in 31 donors (34.07%) was restored within 2 to 75 days. Biliary sludge appeared in 9 donors (9.89%); 6 of them recovered within 3 to 34 days. Three (3.30%) and 1 donor (1.10%) suffered gallstone and gallbladder polyps, respectively, which persisted until the last follow-up. CONCLUSION The rate of postoperative complications of the gallbladder in donors was relative low. Preserving the gallbladder in liver transplantation donors during liver graft procurement is feasible and safe.
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Affiliation(s)
- F Su
- Department of Ultrasound, Beijing Friendship Hospital Affiliated to Capital Medical University, Beijing, China
| | - E He
- Department of Ultrasound, Beijing Friendship Hospital Affiliated to Capital Medical University, Beijing, China
| | - L Qian
- Department of Ultrasound, Beijing Friendship Hospital Affiliated to Capital Medical University, Beijing, China.
| | - Z Zhu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - L Wei
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Z Zeng
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - W Qu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - R Xu
- Department of Ultrasound, Beijing Friendship Hospital Affiliated to Capital Medical University, Beijing, China
| | - Z Yi
- Department of Ultrasound, Beijing Friendship Hospital Affiliated to Capital Medical University, Beijing, China
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50
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Qian L, Jiang C, Sun P, Xu D, Wang Y, Fu M, Zhong S, Ouyang J. A comparison of the biomechanical stability of pedicle-lengthening screws and traditional pedicle screws: an in vitro instant and fatigue-resistant pull-out test. Bone Joint J 2018; 100-B:516-521. [PMID: 29629595 DOI: 10.1302/0301-620x.100b4.bjj-2017-0877.r1] [Citation(s) in RCA: 6] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Aims The aim of this study was to compare the peak pull-out force (PPF) of pedicle-lengthening screws (PLS) and traditional pedicle screws (TPS) using instant and cyclic fatigue testing. Materials and Methods A total of 60 lumbar vertebrae were divided into six groups: PLS submitted to instant pull-out and fatigue-resistance testing (groups A1 and A2, respectively), TPS submitted to instant pull-out and fatigue-resistance testing (groups B1 and B2, respectively) and PLS augmented with 2 ml polymethylmethacrylate, submitted to instant pull-out and fatigue-resistance testing (groups C1 and C2, respectively). The PPF and normalized PPF (PPFn) for bone mineral density (BMD) were compared within and between all groups. Results In all groups, BMD was significantly correlated with PPF (r = 0.83, p < 0.001). The PPFn in A1 was significantly less than in B1 (p = 0.006) and C1 (p = 0.002). The PPFn of A2 was significantly less than in B2 (p < 0.001) and C2 (p < 0.001). The PPFn in A1, B1, and C1 was significantly greater than in A2 (p = 0.002), B2 (p = 0.027), and C2 (p = 0.003). There were no significant differences in PPFn between B1 and C1, or between B2 and C2. Conclusion Pedicle lengthening screws with cement augmentation can provide the same fixation stability as traditional pedicle screws and may be a viable clinical option. Cite this article: Bone Joint J 2018;100-B:516-21.
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Affiliation(s)
- L Qian
- Department of Anatomy, Southern Medical University, Guangdong Provincial Key Laboratory of Medical Biomechanics, Shenzhen Digital Orthopedic Engineering Laboratory, Guangdong, 510515, China
| | - C Jiang
- Department of Anatomy, Southern Medical University, Guangdong Provincial Key Laboratory of Medical Biomechanics, Shenzhen Digital Orthopedic Engineering Laboratory, Guangdong, 510515, China
| | - P Sun
- Department of Anatomy, Southern Medical University, Guangdong Provincial Key Laboratory of Medical Biomechanics, Shenzhen Digital Orthopedic Engineering Laboratory, Guangdong, 510515, China
| | - D Xu
- Department of Orthopedics, Nanfang Hospital, Southern Medical University
| | - Y Wang
- Department of Anatomy, Southern Medical University, Guangdong Provincial Key Laboratory of Medical Biomechanics, Shenzhen Digital Orthopedic Engineering Laboratory, Guangdong, 510515, China
| | - M Fu
- Department of Anatomy, Southern Medical University, Guangdong Provincial Key Laboratory of Medical Biomechanics, Shenzhen Digital Orthopedic Engineering Laboratory, Guangdong, 510515, China
| | - S Zhong
- Department of Anatomy, Southern Medical University, Guangdong Provincial Key Laboratory of Medical Biomechanics, Shenzhen Digital Orthopedic Engineering Laboratory, Guangdong, 510515, China
| | - J Ouyang
- Department of Anatomy, Southern Medical University, Guangdong Provincial Key Laboratory of Medical Biomechanics, Shenzhen Digital Orthopedic Engineering Laboratory, Satai Road, Guangzhou, P.R.C, China, Guangzhou, China
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