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Qi FY, Bao M, Gao HL, Jiang Q. [Analysis of the factors influencing the severity of coronavirus disease 2019 in patients with myeloproliferative neoplasms based on an online questionnaire]. Zhonghua Nei Ke Za Zhi 2024; 63:371-377. [PMID: 38561282 DOI: 10.3760/cma.j.cn112138-20230822-00073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Objective: To explore the variables associated with the severity of coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 omicron variant during the epidemic in patients with myeloproliferative neoplasms (MPN). Methods: A cross-sectional study. During the SARS-CoV-2 omicron variant pandemic from December 15, 2022, to March 15, 2023, COVID-19 related data for patients with MPN who were treated at Peking University People's Hospital were collected through an online questionnaire-based survey. All questionnaires and clinical data were checked by medical assistants. Logistic multivariate analysis was used to explore the prevalence and variables associated with the severity of COVID-19 in patients with MPN. Results: A total of 239 patients with MPN, including 90 (37.7%) presenting with essential thrombocythemia (ET), 50 (20.9%) with polycythemia vera (PV), and 99 (41.4%) with myelofibrosis (MF), were enrolled in the study. The 99 patients with MF included 87 (87.9%) with primary MF, 5 (5.1%) with post-PV MF, and 7 (7.1%) with post-ET MF. Overall, 239 (100%) patients reported that they experienced COVID-19 during the pandemic. Of these, 226 (94.6%) had mild disease, 4 (1.7%) had moderate disease, 7 (2.9%) had severe disease, and 2 (0.8%) had critical disease. Two (0.8%) patients with severe COVID-19 died, one of which suffered from MT and the other from PV. Multivariate analysis showed that older age (OR=2.36, 95%CI 1.24-4.49), MF (OR=10.22, 95%CI 1.13-92.80), or comorbidity (OR=5.25, 95%CI 1.25-22.03) were associated with a significantly higher risk of developing moderate, severe, or critical COVID-19. Among patients with MF, higher risk stratification reflected an increased risk of developing moderate, severe, or critical COVID-19 (P=0.034). Conclusion: During the omicron pandemic, older age, MF (especially higher-risk categories), and comorbidity were associated with a higher risk of developing moderate, severe, or critical COVID-19.
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Affiliation(s)
- F Y Qi
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China
| | - M Bao
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China
| | - H L Gao
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China
| | - Q Jiang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing 100044, China Peking University People's Hospital Qingdao Hospital, Qingdao 266109, China
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Yuan H, Mao X, Yan Y, Huang R, Zhang Q, Zeng Y, Bao M, Dai Y, Fang B, Mi J, Xie Y, Wang X, Zhang H, Mo Z, Yang R. Single-cell sequencing reveals the heterogeneity of B cells and tertiary lymphoid structures in muscle-invasive bladder cancer. J Transl Med 2024; 22:48. [PMID: 38216927 PMCID: PMC10787393 DOI: 10.1186/s12967-024-04860-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/04/2024] [Indexed: 01/14/2024] Open
Abstract
BACKGROUND Muscle-invasive bladder cancer (MIBC) is a highly aggressive disease with a poor prognosis. B cells are crucial factors in tumor suppression, and tertiary lymphoid structures (TLSs) facilitate immune cell recruitment to the tumor microenvironment (TME). However, the function and mechanisms of tumor-infiltrating B cells and TLSs in MIBC need to be explored further. METHODS We performed single-cell RNA sequencing analysis of 11,612 B cells and 55,392 T cells from 12 bladder cancer patients and found naïve B cells, proliferating B cells, plasma cells, interferon-stimulated B cells and germinal center-associated B cells, and described the phenotype, gene enrichment, cell-cell communication, biological processes. We utilized immunohistochemistry (IHC) and immunofluorescence (IF) to describe TLSs morphology in MIBC. RESULTS The interferon-stimulated B-cell subtype (B-ISG15) and germinal center-associated B-cell subtypes (B-LMO2, B-STMN1) were significantly enriched in MIBC. TLSs in MIBC exhibited a distinct follicular structure characterized by a central region of B cells resembling a germinal center surrounded by T cells. CellChat analysis showed that CXCL13 + T cells play a pivotal role in recruiting CXCR5 + B cells. Cell migration experiments demonstrated the chemoattraction of CXCL13 toward CXCR5 + B cells. Importantly, the infiltration of the interferon-stimulated B-cell subtype and the presence of TLSs correlated with a more favorable prognosis in MIBC. CONCLUSIONS The study revealed the heterogeneity of B-cell subtypes in MIBC and suggests a pivotal role of TLSs in MIBC outcomes. Our study provides novel insights that contribute to the precision treatment of MIBC.
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Affiliation(s)
- Hao Yuan
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Xingning Mao
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed By the Province and Ministry, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yunkun Yan
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Rong Huang
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Qingyun Zhang
- Department of Urology, the Affiliated Tumor Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yanyu Zeng
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Mengying Bao
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yan Dai
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Bo Fang
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Junhao Mi
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yuli Xie
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Xiang Wang
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Haiying Zhang
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed By the Province and Ministry, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, China.
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Institute of Urology and Nephrology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China.
| | - Rirong Yang
- Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China.
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Zhang MY, Bao M, Shi DY, Shi HX, Liu XL, Xu N, Duan MH, Zhuang JL, Du X, Qin L, Hui WH, Liang R, Wang MF, Chen Y, Li DY, Yang W, Tang GS, Zhang WH, Kuang X, Su W, Han YQ, Chen LM, Xu JH, Liu ZG, Huang J, Zhao CT, Tong HY, Hu JD, Chen CY, Chen XQ, Xiao ZJ, Jiang Q. [Clinical and genetic characteristics of young patients with myeloproliferative neoplasms]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:193-201. [PMID: 37356980 PMCID: PMC10119718 DOI: 10.3760/cma.j.issn.0253-2727.2023.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
Objectives: To investigate the clinical and genetic features of young Chinese patients with myeloproliferative neoplasms (MPN). Methods: In this cross-sectional study, anonymous questionnaires were distributed to patients with MPN patients nationwide. The respondents were divided into 3 groups based on their age at diagnosis: young (≤40 years) , middle-aged (41-60 years) , and elderly (>60 years) . We compared the clinical and genetic characteristics of three groups of MPN patients. Results: 1727 assessable questionnaires were collected. There were 453 (26.2%) young respondents with MPNs, including 274 with essential thrombocythemia (ET) , 80 with polycythemia vera (PV) , and 99 with myelofibrosis. Among the young group, 178 (39.3%) were male, and the median age was 31 (18-40) years. In comparison to middle-aged and elderly respondents, young respondents with MPN were more likely to present with a higher proportion of unmarried status (all P<0.001) , a higher education level (all P<0.001) , less comorbidity (ies) , fewer medications (all P<0.001) , and low-risk stratification (all P<0.001) . Younger respondents experienced headache (ET, P<0.001; PV, P=0.007; MF, P=0.001) at diagnosis, had splenomegaly at diagnosis (PV, P<0.001) , and survey (ET, P=0.052; PV, P=0.063) . Younger respondents had fewer thrombotic events at diagnosis (ET, P<0.001; PV, P=0.011) and during the survey (ET, P<0.001; PV, P=0.003) . JAK2 mutations were found in fewer young people (ET, P<0.001; PV, P<0.001; MF, P=0.013) ; however, CALR mutations were found in more young people (ET, P<0.001; MF, P=0.015) . Furthermore, mutations in non-driver genes (ET, P=0.042; PV, P=0.043; MF, P=0.004) and high-molecular risk mutations (ET, P=0.024; PV, P=0.023; MF, P=0.001) were found in fewer young respondents. Conclusion: Compared with middle-aged and elderly patients, young patients with MPN had unique clinical and genetic characteristics.
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Affiliation(s)
- M Y Zhang
- Peking University People's Hospital, Beijing 100044, China
| | - M Bao
- Peking University People's Hospital, Beijing 100044, China
| | - D Y Shi
- Peking University People's Hospital, Beijing 100044, China
| | - H X Shi
- Peking University People's Hospital, Beijing 100044, China
| | - X L Liu
- Nanfang Hospital, Southern Medical University, Guangzhou 510080, China
| | - N Xu
- Nanfang Hospital, Southern Medical University, Guangzhou 510080, China
| | - M H Duan
- Peking Union Medical College Hospital, CAMS & PUMC, Beijing 100730, China
| | - J L Zhuang
- Peking Union Medical College Hospital, CAMS & PUMC, Beijing 100730, China
| | - X Du
- Department of Hematology, Shenzhen Second People's Hospital (First Affiliated Hospital of Shenzhen University), Shenzhen 518035, China
| | - L Qin
- The First Affiliated Hospital and College of Clinical Medicine of Henan University of Science and Technology, Zhenzhou 471003, China
| | - W H Hui
- Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - R Liang
- Xi Jing Hospital, The Fourth Military Medical University, Xi'an 710032, China
| | - M F Wang
- Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Y Chen
- Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - D Y Li
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
| | - W Yang
- Shengjing Hospital Affiliated to China Medical University, Shenyang 110020, China
| | - G S Tang
- Nanfang Hospital, Southern Medical University, Guangzhou 510080, China
| | - W H Zhang
- First Hospital of Shanxi Medical University, Taiyuan 300012, China
| | - X Kuang
- Kaifeng Central Hospital, Kaifeng 475000, China
| | - W Su
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, China
| | - Y Q Han
- The Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China
| | - L M Chen
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - J H Xu
- Department of Hematology, the First Hospital of Qiqihar, Qiqihar 161005, China
| | - Z G Liu
- Shengjing Hospital Affiliated to China Medical University, Shenyang 110020, China
| | - J Huang
- The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 322000, China
| | - C T Zhao
- The Affiliated Hospital of Qingdao University, Qingdao 266003, China
| | - H Y Tong
- The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - J D Hu
- Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - C Y Chen
- Shandong University Qilu Hospital, Jinan 250012, China
| | - X Q Chen
- Northwest University School of Medicine, Xi'an 710069, China
| | - Z J Xiao
- Institute of Hematology and Blood Diseases Hospital, CAMS & PUMC, National Clinical Research Center for Blood Diseases, The State Key Laboratory of Experimental Hematology, Tianjin 300020, China
| | - Q Jiang
- Peking University People's Hospital, Beijing 100044, China
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Liu Y, Feng W, Dai Y, Bao M, Yuan Z, He M, Qin Z, Liao S, He J, Huang Q, Yu Z, Zeng Y, Guo B, Huang R, Yang R, Jiang Y, Liao J, Xiao Z, Zhan X, Lin C, Xu J, Ye Y, Ma J, Wei Q, Mo Z. Corrigendum: Single-cell transcriptomics reveals the complexity of the tumor microenvironment of treatment-naive osteosarcoma. Front Oncol 2022; 12:1077067. [DOI: 10.3389/fonc.2022.1077067] [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: 10/22/2022] [Accepted: 10/24/2022] [Indexed: 11/16/2022] Open
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Meyer E, Kruglov D, Krivic M, Tanveer M, Argaez-Ramirez R, Zhang Y, Briseno Ojeda A, Smirnova K, Alekseev K, Safari Mugisho M, Cimbili B, Farid N, Dang Y, Shahid M, Ensan M, Banar J, Bao H, Matters-Kammerer M, Gustavsson U, Demuynck F, Zwick T, Acar M, Fager C, van der Heijden M, Ivashina M, Caratelli D, Hasselblad M, Ulusoy C, Smolders A, Eriksson K, Johannson M, Maaskant R, Quay R, Floriot D, Bao M, Bronckers L, Fridén J, van Beurden M, de Hon B, Kolitsidas C, Blanco D, Willems F, Eriksson T, Filippi A, Ponzini F, Johannsen U. The state of the art in beyond 5G distributed massive multiple-input multiple-output communication system solutions. Open Res Eur 2022; 2:106. [PMID: 37982077 PMCID: PMC10654493 DOI: 10.12688/openreseurope.14501.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 07/25/2022] [Indexed: 11/21/2023]
Abstract
Beyond fifth generation (5G) communication systems aim towards data rates in the tera bits per second range, with improved and flexible coverage options, introducing many new technological challenges in the fields of network architecture, signal pro- cessing, and radio frequency front-ends. One option is to move towards cell-free, or distributed massive Multiple-Input Multiple-Output (MIMO) network architectures and highly integrated front-end solutions. This paper presents an outlook on be- yond 5G distributed massive MIMO communication systems, the signal processing, characterisation and simulation challenges, and an overview of the state of the art in millimetre wave antennas and electronics.
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Affiliation(s)
- E. Meyer
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - D. Kruglov
- Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden
| | - M. Krivic
- Keysight Technologies, Kortrijksesteenweg 1093B, 9051 Gent, Belgium
| | - M. Tanveer
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - R. Argaez-Ramirez
- Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden
| | - Y. Zhang
- Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden
| | | | - K. Smirnova
- Karlsruhe Institute of Technology, 6131 Karlsruhe, Germany
| | - K. Alekseev
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - M. Safari Mugisho
- Fraunhofer Institute for Applied Solid State Physics, IAF, Tullastraße 72, 79108 Freiburg, Germany
| | - B. Cimbili
- Fraunhofer Institute for Applied Solid State Physics, IAF, Tullastraße 72, 79108 Freiburg, Germany
| | - N. Farid
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - Y. Dang
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - M. Shahid
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - M. Ensan
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - J. Banar
- Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden
| | - H. Bao
- Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden
| | - M. Matters-Kammerer
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - U. Gustavsson
- Ericsson AB, Lindholmspiren 11, 417 56 Göteborg, Sweden
| | - F. Demuynck
- Keysight Technologies, Kortrijksesteenweg 1093B, 9051 Gent, Belgium
| | - T. Zwick
- Karlsruhe Institute of Technology, 6131 Karlsruhe, Germany
| | - M. Acar
- NXP Semiconductors, High Tech Campus 60, 5656 AG Eindhoven, The Netherlands
| | - C. Fager
- Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden
| | - M. van der Heijden
- NXP Semiconductors, High Tech Campus 60, 5656 AG Eindhoven, The Netherlands
| | - M. Ivashina
- Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden
| | - D. Caratelli
- The Antenna Company, High Tech Campus 29, 5656 AE Eindhoven, The Netherlands
| | - M. Hasselblad
- Gapwaves, Nellickevagen 22, 412 63 Gothenburg, Sweden
| | - C. Ulusoy
- Karlsruhe Institute of Technology, 6131 Karlsruhe, Germany
| | - A.B. Smolders
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - K. Eriksson
- Ericsson AB, Lindholmspiren 11, 417 56 Göteborg, Sweden
| | - M. Johannson
- Ericsson AB, Lindholmspiren 11, 417 56 Göteborg, Sweden
| | - R. Maaskant
- Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden
| | - R. Quay
- Fraunhofer Institute for Applied Solid State Physics, IAF, Tullastraße 72, 79108 Freiburg, Germany
| | - D. Floriot
- United Monolithic Semiconductors SAS, Bâtiment Charmille, Mosaic parc de Courtaboeuf, 10 avenue du Québec, 91140, Villebon-sur-Yvette, France
| | - M. Bao
- Ericsson AB, Lindholmspiren 11, 417 56 Göteborg, Sweden
| | - L.A. Bronckers
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - J. Fridén
- Ericsson AB, Lindholmspiren 11, 417 56 Göteborg, Sweden
| | - M.C. van Beurden
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - B.P. de Hon
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - C. Kolitsidas
- Ericsson AB, Lindholmspiren 11, 417 56 Göteborg, Sweden
| | - D. Blanco
- Ericsson AB, Lindholmspiren 11, 417 56 Göteborg, Sweden
| | - F.M.J. Willems
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
| | - T. Eriksson
- Chalmers University of Technology, Chalmersplatsen 4, 412 96 Göteborg, Sweden
| | - A. Filippi
- NXP Semiconductors, High Tech Campus 60, 5656 AG Eindhoven, The Netherlands
| | - F. Ponzini
- Ericsson Telecomunicazioni SpA, Via Anagnina 203, 00118 Rome, Italy
| | - U. Johannsen
- Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The Netherlands
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Zhou J, Bao M, Gao G, Cai Y, Wu L, Lei L, Zhao J, Ji X, Huang Y, Su C. EP08.01-107 The Increase of Blood Intratumor Heterogeneity Is Associated with Unfavorable Outcomes of ICIs Plus Chemotherapy in NSCLC. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Bao M, Zhang YL, Cao F, Lin YC, Hong Y, Fan M, Zhang Y, Yang X, Xie F. Light absorption and source apportionment of water soluble humic-like substances (HULIS) in PM 2.5 at Nanjing, China. Environ Res 2022; 206:112554. [PMID: 34951988 DOI: 10.1016/j.envres.2021.112554] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/21/2021] [Accepted: 12/09/2021] [Indexed: 06/14/2023]
Abstract
Humic-like substances (HULIS), as important components of brown carbon (BrC), play an important role in climate change. In this study, one-year PM2.5 samples from 2017 to 2018 were collected at Nanjing, China and the water soluble HULIS and other chemical species were analyzed to investigate the seasonal variations, optical properties and possible sources. The HULIS concentrations exhibited highest in winter and lowest in summer. The annual averaged HULIS concentration was 2.61 ± 1.79 μg m-3, accounting for 45 ± 13% of water-soluble organic carbon (WSOC). The HULIS light absorption coefficient at 365 nm (Abs365, HULIS) averagely accounted for 71 ± 19% of that of WSOC, suggesting that HULIS are the main light-absorbing components in WSOC. The annual averaged Ångström absorption exponent and mass absorption efficiency of HULIS at 365 nm were 5.22 ± 0.77 and 1.71 ± 0.70 m2 g-1. Good correlations between HULIS with levoglucosan and K+ suggested biomass burning (BB) influence on HULIS. High concentrations of HULIS and secondary species (e.g., NO3-, SO42-, NH4+, C2O42-) were found in present of high relative humidity, indicating strong aqueous phase secondary HULIS formation. Secondary HULIS produced from anthropogenic and biogenic precursors were quantified based on the positive matrix factorization (PMF) model and the results showed that both fossil (55%) and biogenic (45%) emission sources made great contributions to HULIS. Fossil fuel combustion significantly contributed to HULIS formation throughout the whole year, which were enriched with more secondary HULIS (30%) than primary HULIS (25%). Strongest BB contribution (39%) was found in winter and biogenic SOA contribution (32%) was found in summer. A multiple linear regression (MLR) method was further applied to obtain specific source contributions to Abs365, HULIS and the results showed that strong light-absorbing chromophores were produced from anthropogenic precursors. Our results highlight the anthropogenic SOA and fossil fuels combustion contributions to HULIS in addition to the biggest contributor, BB, in urban area in China.
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Affiliation(s)
- Mengying Bao
- Yale-NUIST Center on Atmospheric Environment, Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Yan-Lin Zhang
- Yale-NUIST Center on Atmospheric Environment, Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
| | - Fang Cao
- Yale-NUIST Center on Atmospheric Environment, Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Yu-Chi Lin
- Yale-NUIST Center on Atmospheric Environment, Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Yihang Hong
- Yale-NUIST Center on Atmospheric Environment, Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Meiyi Fan
- Yale-NUIST Center on Atmospheric Environment, Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Yuxian Zhang
- Yale-NUIST Center on Atmospheric Environment, Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Xiaoying Yang
- Yale-NUIST Center on Atmospheric Environment, Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Feng Xie
- Yale-NUIST Center on Atmospheric Environment, Joint International Research Laboratory of Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
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8
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SUN Z, Cai Q, Guo S, Wu H, Bao M, Ding X, Yu X. POS-079 14-3-3ζ:A PROTECTOR IN CISPLATIN-INDUCED ACUTE KIDNEY INJURY. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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9
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Liu Y, Feng W, Dai Y, Bao M, Yuan Z, He M, Qin Z, Liao S, He J, Huang Q, Yu Z, Zeng Y, Guo B, Huang R, Yang R, Jiang Y, Liao J, Xiao Z, Zhan X, Lin C, Xu J, Ye Y, Ma J, Wei Q, Mo Z. Single-Cell Transcriptomics Reveals the Complexity of the Tumor Microenvironment of Treatment-Naive Osteosarcoma. Front Oncol 2021; 11:709210. [PMID: 34367994 PMCID: PMC8335545 DOI: 10.3389/fonc.2021.709210] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 07/02/2021] [Indexed: 12/03/2022] Open
Abstract
Osteosarcoma (OS), which occurs most commonly in adolescents, is associated with a high degree of malignancy and poor prognosis. In order to develop an accurate treatment for OS, a deeper understanding of its complex tumor microenvironment (TME) is required. In the present study, tissues were isolated from six patients with OS, and then subjected to single-cell RNA sequencing (scRNA-seq) using a 10× Genomics platform. Multiplex immunofluorescence staining was subsequently used to validate the subsets identified by scRNA-seq. ScRNA-seq of six patients with OS was performed prior to neoadjuvant chemotherapy, and data were obtained on 29,278 cells. A total of nine major cell types were identified, and the single-cell transcriptional map of OS was subsequently revealed. Identified osteoblastic OS cells were divided into five subsets, and the subsets of those osteoblastic OS cells with significant prognostic correlation were determined using a deconvolution algorithm. Thereby, different transcription patterns in the cellular subtypes of osteoblastic OS cells were reported, and key transcription factors associated with survival prognosis were identified. Furthermore, the regulation of osteolysis by osteoblastic OS cells via receptor activator of nuclear factor kappa-B ligand was revealed. Furthermore, the role of osteoblastic OS cells in regulating angiogenesis through vascular endothelial growth factor-A was revealed. C3_TXNIP+ macrophages and C5_IFIT1+ macrophages were found to regulate regulatory T cells and participate in CD8+ T cell exhaustion, illustrating the possibility of immunotherapy that could target CD8+ T cells and macrophages. Our findings here show that the role of C1_osteoblastic OS cells in OS is to promote osteolysis and angiogenesis, and this is associated with survival prognosis. In addition, T cell depletion is an important feature of OS. More importantly, the present study provided a valuable resource for the in-depth study of the heterogeneity of the OS TME.
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Affiliation(s)
- Yun Liu
- Department of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Wenyu Feng
- Department of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yan Dai
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Mengying Bao
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Zhenchao Yuan
- Department of Bone and Soft Tissue Surgery, The Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China
| | - Mingwei He
- Department of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zhaojie Qin
- Department of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Shijie Liao
- Department of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Juliang He
- Department of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Qian Huang
- Department of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zhenyuan Yu
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Yanyu Zeng
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Binqian Guo
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Rong Huang
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Rirong Yang
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Yonghua Jiang
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Jinling Liao
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Zengming Xiao
- Department of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xinli Zhan
- Department of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chengsen Lin
- Department of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jiake Xu
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Yu Ye
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
| | - Jie Ma
- Department of Medical Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Qingjun Wei
- Department of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Regenerative Medicine, Research Centre for Regenerative Medicine, Guangxi Medical University, Nanning, China
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
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10
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Yan Y, Mao X, Zhang Q, Ye Y, Dai Y, Bao M, Zeng Y, Huang R, Mo Z. Molecular mechanisms, immune cell infiltration, and potential drugs for prostate cancer. Cancer Biomark 2021; 31:87-96. [PMID: 33780364 DOI: 10.3233/cbm-200939] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND The molecular mechanisms involved in the prostate cancer and their relationship with immune cell infiltration are not fully understood. The prostate cancer patients undergoing standard androgen deprivation therapy eventually develop castration resistant prostate cancer (CRPC) for which there is no effective treatment currently available, and the hub genes involved in this process remain unclear. OBJECTIVE To study prostate cancer systematically and comprehensively. METHODS Differentially expressed genes (DEGs) of prostate cancer were screened in The Cancer Genome Atlas (TCGA) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. Connectivity Map (Cmap) software was applied to discover potential treatment drugs. A protein-protein interaction (PPI) analysis was performed to obtained the hub genes, and the relationship between hub genes and immune cell infiltration was investigated. Next, RNAseq data of hormone-sensitive prostate cancer samples and CRPC samples obtained from TCGA database was further analyzed to identify DEGs. Finally, a PPI analysis was performed to obtain the hub genes. RESULTS A total of 319 DEGs were identified between prostate cancer samples and normal adjacent samples from TCGA database using comparative analysis. The KEGG pathway analysis showed significant correlations with drug metabolism, metabolism of xenobiotics by cytochrome P450, and chemical carcinogenesis. AMACR, FOLH1 and NPY, three hub genes, were found to be upregulated. FOLH1 was positively correlated with CD8+ T cell infiltration. FOLH1, AMACR, and NPY were negatively correlated with CD4+ T cell infiltration. A total of 426 DEGs were identified from RNAseq data of hormone-sensitive prostate cancer samples and CRPC samples using further comparative analysis. KEGG pathway enrichment analysis showed significant correlations with arachidonic acid metabolism, PPAR signaling pathway, AMPK signaling pathway, and metabolic pathways. The top 10 hub genes in PPI network were screened out, including PPARG, SREBF1, SCD, HMGCR, FASN, PTGS2, HMGCS2, SREBF2, FDFT1, and INSIG1. Among them, SCD and FASN are expected to be the potential therapeutic targets for CRPC. CONCLUSIONS AMACR, FOLH1 and NPY may be effective therapeutic targets and specific diagnostic markers for prostate cancer. AMACR, FOLH1, and NPY are also closely associated with immune cell infiltration in prostate cancer. Moreover, aminoglutethimide and resveratrol were found to be the promising drugs for treating prostate cancer. The progression of hormone-sensitive prostate cancer to CRPC may be related to arachidonic acid metabolism, PPAR signaling pathway, AMPK signaling pathway, and other metabolic pathways. SCD and FASN are expected to be the potential therapeutic targets for CRPC.
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Affiliation(s)
- Yunkun Yan
- Institute of Urology and Nephrology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.,Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.,Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.,Department of Urology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
| | - Xingning Mao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Qingyun Zhang
- Institute of Urology and Nephrology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.,Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.,Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Yu Ye
- Institute of Urology and Nephrology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.,Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.,Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Yan Dai
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Mengying Bao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Yanyu Zeng
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Rong Huang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, China
| | - Zengnan Mo
- Institute of Urology and Nephrology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.,Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi, China.,Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Guangxi, China.,Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, China
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11
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Huang L, Liao J, Chen Y, Zou C, Zhang H, Yang X, Zhang Q, Li T, Mo L, Zeng Y, Bao M, Zhang F, Ye Y, Yang Z, Cheng J, Mo Z. Single-cell transcriptomes reveal characteristic features of cell types within the human adrenal microenvironment. J Cell Physiol 2021; 236:7308-7321. [PMID: 33934358 DOI: 10.1002/jcp.30398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/13/2021] [Accepted: 04/16/2021] [Indexed: 01/24/2023]
Abstract
Various cells within the adrenal microenvironment are important in maintaining the body homeostasis. However, our understanding of adrenal disease pathogenesis is limited by an incomplete molecular characterization of the cell types responsible for the organ's multiple homeostatic functions. We report a cellular landscape of the human adrenal gland using single-cell RNA sequencing. We reveal characteristic features of cell types within the human adrenal microenvironment and found immune activation of nonimmune cells in the adrenal endothelial cells. We also reveal that abundant immune cells occupied a lot of space in adrenal gland. Additionally, Sex-related diversity in the adrenocortical cells and different gene expression profiles between the left and right adrenal gland are also observed at single-cell resolution. Together, at single-cell resolution, the transcriptomic map presents a comprehensive view of the human adrenal gland, which serves as a fundamental baseline description of this organ and paves a way for the further studies of adrenal diseases.
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Affiliation(s)
- Lin Huang
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Institute of Urology and Nephrology, The First Afliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Jinling Liao
- Institute of Urology and Nephrology, The First Afliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Yang Chen
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Institute of Urology and Nephrology, The First Afliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Chunlin Zou
- Key Laboratory of Longevity and Ageing-related Diseases, Ministry of Education, Nanning, Guangxi Zhuang, China
| | - Haiying Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Xiaobo Yang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Qinyun Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Tianyu Li
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Institute of Urology and Nephrology, The First Afliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China
| | - Linjian Mo
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Institute of Urology and Nephrology, The First Afliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China
| | - Yanyu Zeng
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Mengying Bao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Fangxing Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Yu Ye
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Zhanbin Yang
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Institute of Urology and Nephrology, The First Afliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China
| | - Jiwen Cheng
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Institute of Urology and Nephrology, The First Afliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
| | - Zengnan Mo
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Institute of Urology and Nephrology, The First Afliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang, China.,Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi Zhuang, China
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12
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Chen J, Wang J, Qian J, Bao M, Zhang X, Huang Z. MBNL1 Suppressed Cancer Metastatic of Skin Squamous Cell Carcinoma Via by TIAL1/MYOD1/Caspase-9/3 Signaling Pathways. Technol Cancer Res Treat 2021; 20:1533033820960755. [PMID: 33896245 PMCID: PMC8085367 DOI: 10.1177/1533033820960755] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE The incidence of skin squamous cell carcinoma (SSCC) has recently been increasing, with diverse clinical manifestations.SSCC could metastasize to lymph nodes or other organs, posing a great threat to life. The present study was designed to investigate the function and underlying mechanism of muscleblind-like protein 1 (MBNL1) in skin squamous cell carcinoma. METHODS SCL-1 cell was used for vitro model and transfected with MBNL1 or siMBNL1 plasmids. MTT Assays, LDH activity ELISA, and Transwell chamber migration experiment were used to confirm the effects of MBNL1 on cell growth of SCL-1 cell. Western blot analysis was used to analyze the mechanism of MBNL1 in SCL-1 cell. RESULTS Down-regulation of MBNL1 promoted cell metastasis of SSCC, while up-regulation of MBNL1 reduced cell metastasis of SSCC in vitro. Down-regulation of MBNL1 suppressed the protein expression of T cell intracellular antigen (TIAL1), myogenic determinant 1 (MyoD1) and Caspase-3 in vitro. Consistent with these observations, inhibition of TIAL1 or MYOD1 expression attenuated the effects of MBNL1 in SSCC. CONCLUSION The present study revealed that MBNL1 suppressed thecancer metastatic capacity of SSCC via by TIAL1/MYOD1/Caspase-3 signaling pathways.
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Affiliation(s)
- Jiaorong Chen
- Department of Anatomy & Embryo-Histology, Basic Medical College, 240515Hubei University of Chinese Medicine, Wuhan, Hubei Province, China
| | - Jiaqi Wang
- Department of Anatomy & Embryo-Histology, Basic Medical College, 240515Hubei University of Chinese Medicine, Wuhan, Hubei Province, China
| | - Jingyi Qian
- Department of Anatomy & Embryo-Histology, Basic Medical College, 240515Hubei University of Chinese Medicine, Wuhan, Hubei Province, China
| | - Mengying Bao
- Department of Anatomy & Embryo-Histology, Basic Medical College, 240515Hubei University of Chinese Medicine, Wuhan, Hubei Province, China
| | - Xin Zhang
- Department of Anatomy & Embryo-Histology, Basic Medical College, 240515Hubei University of Chinese Medicine, Wuhan, Hubei Province, China
| | - Zheng Huang
- Department of Pathology, Wuhan Central Hospital, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
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13
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Chong E, Bao M, Goh EF, Lim WS. SARC-F at the Emergency Department: Diagnostic Performance for Frailty and Predictive Performance for Reattendances and Acute Hospitalizations. J Nutr Health Aging 2021; 25:1084-1089. [PMID: 34725665 DOI: 10.1007/s12603-021-1676-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Sarcopenia is associated with adverse health outcomes including mortality, functional loss, falls, and poorer quality of life. However, the value of screening sarcopenia at the Emergency Department (ED) remains unclear. We aimed to examine the SARC-F questionnaire for its (1) diagnostic ability in identifying frailty, and (2) predictive ability for adverse health outcomes. DESIGN A secondary analysis of a quasi-experimental study. SETTING An ED within a 1700-bed tertiary hospital. PARTICIPANTS ED patients aged ≥85 years (mean age 90.0 years) recruited into the Emergency Department Interventions of Frailty (EDIFY) study. MEASUREMENTS Data of demographics, premorbid function, frailty status [Frailty Index (FI), Clinical Frailty Scale (CFS), FRAIL], comorbidities, medications, and cognitive status were gathered. We also captured outcomes of mortality, acute hospitalization, and ED reattendance at 1-, 3-, and 6-month. We then compared area under the operating characteristic curves (AUCs) for the abovementioned measures against the FI (reference) for diagnosis of frailty. Lastly, we performed univariate analyses and logistic regression to compare SARC-F and other measures against the adverse outcomes of interest. RESULTS Amongst the various instruments, the SARC-F (AUC 0.92, 95% Confidence Interval (CI) 0.86-0.98, P<0.001; Sensitivity 79.0%, and Specificity 88.9%) performed best for frailty detection as defined by FI. Optimal cutoff was ≥3 (Sensitivity 91.4%, Specificity 83.3%, and Negative Predictive Value 68.2%). Only SARC-F was predictive of acute hospitalization [Adjusted Odds Ratio (OR) 4.00, 95% CI 1.47-10.94, P=0.007] and ED-reattendance [Adjusted OR 3.29, 95% CI 1.26-8.56, P=0.015] at 3-month. CONCLUSIONS The SARC-F demonstrated excellent diagnostic ability for frailty detection and predictive validity for ED reattendance and acute hospitalization at 3 months. Lowering cutoff score to ≥3 may improve case-finding at the ED to facilitate early identification and management of sarcopenia. Further studies are required to validate the diagnostic and predictive performance of SARC-F at ED settings.
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Affiliation(s)
- E Chong
- Edward Chong, Department of Geriatric Medicine and Institute of Geriatrics and Active Ageing, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, 308433, Singapore, Contact number: (65) 63596330/1, Fax number: (65) 63596294,
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Qi N, Chen Y, Zeng Y, Bao M, Long X, Guo Y, Tan A, Gao Y, Zhang H, Yang X, Hu Y, Mo Z, Jiang Y. rs2274911 polymorphism in GPRC6A associated with serum E2 and PSA in a Southern Chinese male population. Gene 2020; 763:145067. [PMID: 32827681 DOI: 10.1016/j.gene.2020.145067] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 08/03/2020] [Accepted: 08/17/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND rs2274911 (Pro91Ser, G > A) is a missense mutation located on the second exon of the GPRC6A gene. Increasing evidence revealed a significant association between the A allele of rs2274911 and male diseases, such as oligospermia, cryptorchidism, and prostate tumor. However, the function of rs2274911 in healthy males is unclear. SUBJECTS AND METHODS A total of 1742 healthy men were selected from the Fangchenggang Area Male Health and Examination Survey (FAMHES). The association between rs2274911 and phenotype was evaluated. The cell characteristics of rs2274911 mutation (mu), wild-type GPRC6A (WT), and RFP control in human embryonic kidney (293T) and human prostate cancer (PC3) cells were analyzed. RNA sequencing was performed on PC3 cells. RESULTS E2 and PSA serum levels increased with the accumulation of the A allele (E2: G vs. A, -0.029 [-0.050, -0.008], P < 0.01, P trend = 0.027; PSA: G vs. A, -0.040 [-0.079, 0.000], P < 0.05, P trend = 0.048). rs2274911 enhanced the proliferation and invasion ability of PC3 or 293T cells and activated the ERK pathway. The genes were identified as rs2274911 mu-affected genes through RNA sequential analysis of rs2274911 mu, GPRC6A WT, and RFP control of PC3 cells. Most of these genes were related to cancer development processes, cAMP, and the ERK cell signaling pathway. CONCLUSION This project represents that rs2274911 is associated with E2 and PSA serum levels in Southern Chinese men. Rs2274991 mutation promotes 293T and PC3 cell proliferation in vitro. These results suggest that rs2274911 is a functional variant of GPRC6A.
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Affiliation(s)
- Nana Qi
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China
| | - Yang Chen
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Department of Urology Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Yanyu Zeng
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China
| | - Mengying Bao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China
| | - Xinyang Long
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China
| | - Yajie Guo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China
| | - Aihua Tan
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Department of Chemotherapy, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Yong Gao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Haiying Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Xiaobo Yang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Yanling Hu
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Department of Urology Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China.
| | - Yonghua Jiang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi 530021, China; Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, Guangxi 530021, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi 530021, China.
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Zhang F, Qi N, Zeng Y, Bao M, Chen Y, Liao J, Wei L, Cao D, Huang S, Luo Q, Jiang Y, Mo Z. The Endogenous Alterations of the Gut Microbiota and Feces Metabolites Alleviate Oxidative Damage in the Brain of LanCL1 Knockout Mice. Front Microbiol 2020; 11:557342. [PMID: 33117306 PMCID: PMC7575697 DOI: 10.3389/fmicb.2020.557342] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 08/12/2020] [Indexed: 12/26/2022] Open
Abstract
Altered composition of the gut microbiota has been observed in many neurodegenerative diseases. LanCL1 has been proven to protect neurons and reduce oxidative stress. The present study was designed to investigate alterations of the gut microbiota in LanCL1 knockout mice and to study the interactions between gut bacteria and the brain. Wild-type and LanCL1 knockout mice on a normal chow diet were evaluated at 4 and 8-9 weeks of age. 16s rRNA sequence and untargeted metabolomics analyses were performed to investigate changes in the gut microbiota and feces metabolites. Real-time polymerase chain reaction analysis, AB-PAS staining, and a TUNEL assay were performed to detect alterations in the gut and brain of knockout mice. The serum cytokines of 9-week-old knockout mice, which were detected by a multiplex cytokine assay, were significantly increased. In the central nervous system, there was no increase of antioxidant defense genes even though there was only low activity of glutathione S-transferase in the brain of 8-week-old knockout mice. Interestingly, the gut tight junctions, zonula occludens-1 and occludin, also displayed a downregulated expression level in 8-week-old knockout mice. On the contrary, the production of mucus increased in 8-week-old knockout mice. Moreover, the compositions of the gut microbiota and feces metabolites markedly changed in 8-week-old knockout mice but not in 4-week-old mice. Linear discriminant analysis and t-tests identified Akkermansia as a specific abundant bacteria in knockout mice. Quite a few feces metabolites that have protective effects on the brain were reduced in 8-week-old knockout mice. However, N-acetylsphingosine was the most significant downregulated feces metabolite, which may cause the postponement of neuronal apoptosis. To further investigate the effect of the gut microbiota, antibiotics treatment was given to both types of mice from 5 to 11 weeks of age. After treatment, a significant increase of oxidative damage in the brain of knockout mice was observed, which may have been alleviated by the gut microbiota before. In conclusion, alterations of the gut microbiota and feces metabolites alleviated oxidative damage to the brain of LanCL1 knockout mice, revealing that an endogenous feedback loop mechanism of the microbiota-gut-brain axis maintains systemic homeostasis.
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Affiliation(s)
- Fangxing Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China.,Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Nana Qi
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Yanyu Zeng
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Mengying Bao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Yang Chen
- Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, China.,Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jinling Liao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Luyun Wei
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China
| | - Dehao Cao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China
| | - Shengzhu Huang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China
| | - Qianqian Luo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China
| | - Yonghua Jiang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.,Guangxi Key Laboratory of Genomic and Personalized Medicine, Nanning, China.,Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
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Haque MM, Fang C, Schnelle-Kreis J, Abbaszade G, Liu X, Bao M, Zhang W, Zhang YL. Regional haze formation enhanced the atmospheric pollution levels in the Yangtze River Delta region, China: Implications for anthropogenic sources and secondary aerosol formation. Sci Total Environ 2020; 728:138013. [PMID: 32361103 DOI: 10.1016/j.scitotenv.2020.138013] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 03/16/2020] [Accepted: 03/16/2020] [Indexed: 06/11/2023]
Abstract
High-time-resolution (3-hour) PM2.5 samples were collected simultaneously from the rural and urban areas in the Yangtze River Delta region during winter. The aerosol samples were analyzed for carbonaceous components, organic tracers, water-soluble inorganic ions and stable carbon (δ13C) and nitrogen (δ15N) isotopic compositions of total carbon and total nitrogen. The values of PM2.5 and secondary organic carbon (SOC) for both sampling sites were observed 2 times higher in haze events compare to those in clear days, implying severe pollution occurred by photochemical oxidation during haze periods. The PM mass of rural samples showed similar temporal trend and significant correlation with the urban PM, reflecting pollution sources or their formation process are most likely identical. Diurnal variations of PM2.5 and carbonaceous components revealed that pollution levels increased at daytime due to the photochemical oxidation. In addition, SOC and OC were influenced by the relative humidity (RH%) and temperature (T °C), indicating that such meteorological factors play important roles in the occurrence of regional air pollution. The concentrations of levoglucosan, polycyclic aromatic hydrocarbons, hopanes, and n-alkanes were 625 ± 456 and 519 ± 301 ng m-3, 32.6 ± 24.7 and 28.7 ± 20.1 ng m-3, 1.83 ± 1.51 and 1.26 ± 1.34 ng m-3, and 302 ± 206 and 169 ± 131 ng m-3 for rural and urban samples, respectively. Levoglucosan is the most abundant organic compounds, exhibited 2-3 times higher in haze than clear days, suggesting biomass burning (BB) emission substantially affects the haze pollution in winter. Furthermore, NO3- was the dominant ionic species followed by SO42-, NH4+, Cl- and other minor species for both sites. The δ13C and δ15N values demonstrate that anthropogenic activities such as fossil fuel combustion and BB are the major sources for carbonaceous and nitrogenous aerosols. This study implies that both the regional anthropogenic emissions and meteorological conditions influenced the regional haze formation, leading enhancement of pollution levels in eastern China during winter.
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Affiliation(s)
- Md Mozammel Haque
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Sciences and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China; Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate And Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Cao Fang
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Sciences and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate And Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Jürgen Schnelle-Kreis
- Helmholtz Zentrum Munchen, Joint Mass Spectrometry Ctr, Cooperat Grp Comprehens Mol Analyt, D-85764 Neuherberg, Germany
| | - Gülcin Abbaszade
- Helmholtz Zentrum Munchen, Joint Mass Spectrometry Ctr, Cooperat Grp Comprehens Mol Analyt CMA, Gmunder Str 37, D-81479 Munich, Germany
| | - Xiaoyan Liu
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate And Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Mengying Bao
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate And Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Wenqi Zhang
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate And Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Yan-Lin Zhang
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Sciences and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate And Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing, 210044, China; Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Collaborative Innovation Center on Forecast and Evaluation of Metereological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing, 210044, China.
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Bao M, Mallalieu NL, Stone JH. THU0295 LOW IMMUNOGENICITY IN PATIENTS WITH GIANT CELL ARTERITIS TREATED WITH TOCILIZUMAB: 3-YEAR RESULTS FROM THE RANDOMIZED CONTROLLED PORTION AND OPEN-LABEL FOLLOW-UP OF A PHASE 3 TRIAL. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.2328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Tocilizumab (TCZ) has low immunogenicity in patients with rheumatoid arthritis.1The risk for immunogenicity remains to be determined in patients with giant cell arteritis (GCA) treated with TCZ. TCZ administered subcutaneously every week (QW) or every other week (Q2W) with 26-week prednisone tapering was superior to placebo (PBO) plus 26-week (PBO+26) or 52-week (PBO+52) prednisone tapering for the achievement of sustained remission in patients with GCA in the 52-week, double-blind part 1 of the GiACTA trial.2Part 2 was a 2-year open-label, long-term follow-up in which patients were treated at the investigators’ discretion; part 2 treatment could include initiation/termination of TCZ QW with or without glucocorticoids or methotrexate.Objectives:To investigate immunogenicity of TCZ QW and Q2W regimens in patients with GCA in combination with a 26-week prednisone taper regimen versus PBO+26 or PBO+52 over the course of the GiACTA study in the randomized controlled part 1 and long-term follow-up part 2.Methods:In parts 1 and 2 combined, anti–TCZ antibodies (ADA) and corresponding pharmacokinetic (PK) parameters were assessed in serum samples taken at scheduled times at weeks 0, 8, 24, 36, 52, 76, 100, 136, and 156 or at early withdrawal. Additional assessments were made for patients who interrupted blinded TCZ treatment for ≥4 weeks in part 1 and those who withdrew from the study because of anaphylaxis/hypersensitivity. All samples were tested by screening assay, and samples that were ADA positive were further analyzed by a confirmation assay to verify specificity. If the confirmation assay was positive, 2 additional tests were performed to characterize the detected ADA: a neutralizing assay to test the neutralizing potential of ADAs and an assay to determine whether the detected ADA were of the IgE isotype. Proportions of patients in whom ADA developed were summarized for the safety population.Results:Among evaluable patients (had baseline and ≥1 postbaseline ADA assessments and received ≥1 dose of study treatment) in part 1, ADA developed in 1 of 95 (1.1%) and 3 of 46 (6.5%) patients after TCZ QW and Q2W dosing, respectively. One of 49 (2.0%) and 1 of 47 (2.1%) in the PBO+26 and PBO+52 groups, respectively, tested positive for ADA but had not received TCZ and were considered false positives. In parts 1 and 2 combined, among 199 patients who received ≥1 dose of TCZ, 193 (97%) were evaluable (Table); TCZ-induced ADA developed in 13 of these patients (6.7%) postbaseline (4 during part 1, 9 during part 2). Of these 13 patients, 8 (4.1%) had ADA with neutralizing potential and 1 (0.5%) had IgE ADA. Most TCZ-induced ADA were transient. There was no clear impact of TCZ-induced ADA on TCZ PK (Figure). No patients with TCZ-induced ADA experienced anaphylaxis, hypersensitivity reactions, or injection site reactions, and none withdrew because of lack of efficacyConclusion:In patients with GCA, treatment-induced ADA developed in a minority of patients and had no impact on TCZ PK, efficacy, or safety. The immunogenicity of subcutaneous TCZ treatment was low, consistent with that observed in patients with RA.References:[1]Burmester GR et al.Ann Rheum Dis2017;76:1078-85.[2]Stone JH et al.N Engl J Med2017;377:317-28.Table.Immunogenicity in Patients Who Received TCZ (part 1 + part 2)Patients Who Received TCZN = 199BaselineEvaluable patients194 (97.5)Positive screening assay12 (6.0)Positive confirmation assay6 (3.0)PostbaselineEvaluable patients193 (97.0)Treatment-induced ADA13 (6.7)Characterizaton of ADANeutralizing potential8 (4.1)IgE1 (0.5)Data are number (%) of patients based on N at baseline and on number of evaluable patients postbaseline.Disclosure of Interests:Min Bao Shareholder of: Roche, Employee of: Genentech, Navita L. Mallalieu Shareholder of: Roche, Employee of: Roche, John H. Stone Grant/research support from: Roche, Consultant of: Roche
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Stone JH, Han J, Unizony S, Aringer M, Blockmans D, Brouwer E, Cid MC, Dasgupta B, Rech J, Salvarani C, Spiera R, Bao M. SAT0275 MAINTAINED BENEFIT IN HEALTH-RELATED QUALITY OF LIFE OF PATIENTS WITH GIANT CELL ARTERITIS TREATED WITH TOCILIZUMAB PLUS PREDNISONE TAPERING: RESULTS FROM THE OPEN-LABEL, LONG-TERM EXTENSION OF A PHASE 3 RANDOMIZED CONTROLLED TRIAL. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:In part 1 of the 52-week, double-blind GiACTA trial, patients with giant cell arteritis (GCA) who received weekly tocilizumab (TCZ) plus prednisone tapering reported improvement in the 36-item Short-Form Health Survey (SF-36) Mental Component Summary (MCS) and Physical Component Summary scores and FACIT-Fatigue scores that were statistically significant and clinically meaningful compared with patients who received prednisone alone.1Objectives:To analyze whether benefit in SF-36 MCS was maintained in patients originally assigned to TCZ compared with those originally assigned to placebo (PBO) plus a 26- or 52-week prednisone taper among patients who achieved clinical remission at week 52 and maintained treatment-free clinical remission in the 2-year, long-term extension of GiACTA.Methods:At the end of part 1, patients entered open-label part 2, in which GCA therapy (including initiation/termination of open-label TCZ and/or GCs) was given at the investigator’s discretion according to disease status. Change from baseline in SF-36 MCS score was compared for combined original TCZ (n = 33) and PBO (n = 17) patients who achieved clinical remission at week 52 and maintained treatment-free (no TCZ or GCs) clinical remission in part 2 using a repeated-measures model. The minimal clinically important difference (MCID) for SF-36 MCS is >2.5.2Results:During treatment, SF-36 MCS scores in all 50 patients who maintained treatment-free clinical remission in part 2 had diverged between the TCZ and PBO groups as early as 36 weeks after baseline, with greater improvements evident in the TCZ group (Figure). The difference in least square means (LSM) change between TCZ and PBO was statistically significant at week 52 (p= 0.016) and maintained at weeks 100 (p= 0.023) and 156 (p= 0.002). The LSM difference (95% CI) between TCZ and PBO at weeks 52, 100, and 156 was 5.6 (1.1-10.2), 6.5 (0.9-12.1), and 7.4 (2.9-11.9), respectively, exceeding the MCID.Conclusion:Among patients who maintained treatment-free clinical remission during part 2 of GiACTA, those originally assigned to receive TCZ plus a prednisone taper during part 1 maintained statistically significant and clinically meaningful improvements in SF-36 MCS up to week 156 compared with those originally assigned to receive PBO plus a prednisone taper in part 1. This was true even though neither of the patient groups received TCZ or GC treatment after they achieved clinical remission at week 52.References:[1]Strand V et al.Arthritis Res Ther2019;21:64.[2]Lubeck DP.Pharmacoeconomics2004;22:27-38.Disclosure of Interests:John H. Stone Grant/research support from: Roche, Consultant of: Roche, Jian Han Shareholder of: Genentech, Inc., Employee of: Genentech, Inc., Sebastian Unizony Grant/research support from: Genentech, Inc., Martin Aringer Consultant of: Boehringer Ingelheim, Roche, Speakers bureau: Boehringer Ingelheim, Roche, Daniel Blockmans Consultant of: yes, Speakers bureau: yes, Elisabeth Brouwer Consultant of: Roche (consultancy fee 2017 and 2018 paid to the UMCG), Speakers bureau: Roche (2017 and 2018 paid to the UMCG), Maria C. Cid Speakers bureau: Roche, Bhaskar Dasgupta Grant/research support from: Roche, Consultant of: Roche, Sanofi, GSK, BMS, AbbVie, Speakers bureau: Roche, Jürgen Rech Consultant of: BMS, Celgene, Novartis, Roche, Chugai, Speakers bureau: AbbVie, Biogen, BMS, Celgene, MSD, Novartis, Roche, Chugai, Pfizer, Lilly, Carlo Salvarani: None declared, Robert Spiera Grant/research support from: Roche-Genetech, GSK, Boehringer Ingelheim, Chemocentryx, Corbus, Forbius, Sanofi, Inflarx, Consultant of: Roche-Genetech, GSK, CSL Behring, Sanofi, Janssen, Chemocentryx, Forbius, Mistubishi Tanabe, Min Bao Shareholder of: Roche, Employee of: Genentech
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Stone JH, Spotswood H, Unizony S, Aringer M, Blockmans D, Brouwer E, Cid MC, Dasgupta B, Rech J, Salvarani C, Spiera R, Bao M. OP0027 TIME TO FLARE AND GLUCOCORTICOID EXPOSURE IN PATIENTS WITH NEW-ONSET VERSUS RELAPSING GIANT CELL ARTERITIS TREATED WITH TOCILIZUMAB OR PLACEBO PLUS PREDNISONE TAPERING: 3-YEAR RESULTS FROM A RANDOMIZED CONTROLLED PHASE 3 TRIAL. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.1538] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:In part 1 of the 52-week, double-blind GiACTA trial, tocilizumab (TCZ) every week (QW) or every other week (Q2W) + prednisone tapering reduced the risk for flare versus placebo (PBO) + 26-week prednisone tapering among patients with new-onset giant cell arteritis (GCA) at baseline. Among patients with relapsing GCA, TCZ QW but not Q2W + prednisone reduced the risk for flare versus both PBO groups, and there was separation in the time to flare between the TCZ QW and Q2W groups.1Objectives:To report time to first flare and potential cumulative glucocorticoid (GC) sparing over 3 years of the GiACTA trial (part 1 + 2-year open-label part 2) among patients with new-onset or relapsing GCA.Methods:At the end of part 1, patients entered open-label part 2, in which GCA therapy (including initiation/termination of open-label TCZ and/or GCs) was given at the investigator’s discretion according to disease status. Time to first GCA flare during the 3-year study period was assessed using Kaplan-Meier analysis for patients in the intention-to-treat population according to disease onset status at baseline (new-onset/relapsing) based on their originally assigned treatment groups: TCZ QW, TCZ Q2W, or pooled PBO (PBO+26-week and PBO+52-week prednisone taper).Results:Among patients randomly assigned in part 1, 47 of 100 (47%) in the TCZ QW group, 26 of 49 (53%) in the TCZ Q2W group, and 46 of 101 (46%) in the pooled PBO group had new-onset GCA at baseline; the rest had relapsing GCA. Median time to first flare over 3 years was longer for patients assigned to TCZ treatment in part 1 than for patients assigned to PBO; Kaplan-Meier analysis showed a clear separation between the TCZ QW and the pooled PBO groups over 3 years for patients with new-onset and relapsing GCA (Figure 1A). Separation between the TCZ QW and TCZ Q2W groups was also observed over 3 years in patients with new-onset and relapsing GCA, although this was more evident in patients with relapsing GCA (Figure 1B). Higher proportions of patients in the TCZ QW group (new-onset, 49%; relapsing, 47%) than the pooled PBO group (new-onset, 28%; relapsing, 31%) and the TCZ Q2W group (new-onset, 27%; relapsing, 35%) remained flare-free during their entire treatment period. Cumulative prednisone dose over 3 years was lower for patients originally assigned to TCZ QW versus those originally assigned to PBO for patients with new-onset GCA and those with relapsing GCA at baseline (Figure 2).Conclusion:In this 3-year analysis of GiACTA parts 1 and 2, time to first flare favored TCZ QW over TCZ Q2W in patients with new-onset and relapsing GCA. TCZ QW delayed time to first flare and resulted in lower cumulative GC exposure compared with PBO in patients with new-onset and relapsing GCA, supporting TCZ QW dosing in patients with GCA regardless of disease onset.References:[1]Stone JH et al. N Engl J Med 2017;377:317-28.Disclosure of Interests:John H. Stone Grant/research support from: Roche, Consultant of: Roche, Helen Spotswood Shareholder of: Roche Products Ltd, Employee of: Roche Products Ltd, Sebastian Unizony Grant/research support from: Genentech, Inc., Martin Aringer Consultant of: Boehringer Ingelheim, Roche, Speakers bureau: Boehringer Ingelheim, Roche, Daniel Blockmans Consultant of: yes, Speakers bureau: yes, Elisabeth Brouwer Consultant of: Roche (consultancy fee 2017 and 2018 paid to the UMCG), Speakers bureau: Roche (2017 and 2018 paid to the UMCG), Maria C. Cid Speakers bureau: Roche, Bhaskar Dasgupta Grant/research support from: Roche, Consultant of: Roche, Sanofi, GSK, BMS, AbbVie, Speakers bureau: Roche, Jürgen Rech Consultant of: BMS, Celgene, Novartis, Roche, Chugai, Speakers bureau: AbbVie, Biogen, BMS, Celgene, MSD, Novartis, Roche, Chugai, Pfizer, Lilly, Carlo Salvarani: None declared, Robert Spiera Grant/research support from: Roche-Genetech, GSK, Boehringer Ingelheim, Chemocentryx, Corbus, Forbius, Sanofi, Inflarx, Consultant of: Roche-Genetech, GSK, CSL Behring, Sanofi, Janssen, Chemocentryx, Forbius, Mistubishi Tanabe, Min Bao Shareholder of: Roche, Employee of: Genentech
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Liao J, Yu Z, Chen Y, Bao M, Zou C, Zhang H, Liu D, Li T, Zhang Q, Li J, Cheng J, Mo Z. Single-cell RNA sequencing of human kidney. Sci Data 2020; 7:4. [PMID: 31896769 PMCID: PMC6940381 DOI: 10.1038/s41597-019-0351-8] [Citation(s) in RCA: 127] [Impact Index Per Article: 31.8] [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] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 12/09/2019] [Indexed: 11/09/2022] Open
Abstract
A comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of the human kidney, we rapidly obtained a single-cell suspension of the kidney and conducted single-cell RNA sequencing (scRNA-seq). Here, we present the scRNA-seq data of 23,366 high-quality cells from the kidneys of three human donors. In this dataset, we show 10 clusters of normal human renal cells. Due to the high quality of single-cell transcriptomic information, proximal tubule (PT) cells were classified into three subtypes and collecting ducts cells into two subtypes. Collectively, our data provide a reliable reference for studies on renal cell biology and kidney disease.
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Affiliation(s)
- Jinling Liao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, 530021, Nanning, Guangxi, China
- Guangxi collaborative innovation center for genomic and personalized medicine, 530021, Nanning, Guangxi, China
- Guangxi key laboratory for genomic and personalized medicine, Guangxi key laboratory of colleges and universities, 530021, Nanning, Guangxi, China
| | - Zhenyuan Yu
- Center for Genomic and Personalized Medicine, Guangxi Medical University, 530021, Nanning, Guangxi, China
- Guangxi collaborative innovation center for genomic and personalized medicine, 530021, Nanning, Guangxi, China
- Guangxi key laboratory for genomic and personalized medicine, Guangxi key laboratory of colleges and universities, 530021, Nanning, Guangxi, China
- Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
| | - Yang Chen
- Center for Genomic and Personalized Medicine, Guangxi Medical University, 530021, Nanning, Guangxi, China
- Guangxi collaborative innovation center for genomic and personalized medicine, 530021, Nanning, Guangxi, China
- Guangxi key laboratory for genomic and personalized medicine, Guangxi key laboratory of colleges and universities, 530021, Nanning, Guangxi, China
- Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
| | - Mengying Bao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, 530021, Nanning, Guangxi, China
- Guangxi collaborative innovation center for genomic and personalized medicine, 530021, Nanning, Guangxi, China
- Guangxi key laboratory for genomic and personalized medicine, Guangxi key laboratory of colleges and universities, 530021, Nanning, Guangxi, China
| | - Chunlin Zou
- Key Laboratory of Longevity and Aging-related Diseases(Guangxi Medical University), Ministry of Education, Nanning, Guangxi, 530021, P.R. China
- Center for Translational Medicine & School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, P.R. China
| | - Haiying Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, 530021, Nanning, Guangxi, China
- Guangxi collaborative innovation center for genomic and personalized medicine, 530021, Nanning, Guangxi, China
- Guangxi key laboratory for genomic and personalized medicine, Guangxi key laboratory of colleges and universities, 530021, Nanning, Guangxi, China
| | - Deyun Liu
- Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
| | - Tianyu Li
- Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
| | - Qingyun Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, 530021, Nanning, Guangxi, China
- Guangxi collaborative innovation center for genomic and personalized medicine, 530021, Nanning, Guangxi, China
- Guangxi key laboratory for genomic and personalized medicine, Guangxi key laboratory of colleges and universities, 530021, Nanning, Guangxi, China
- Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
- Department of Urology, Affiliated Tumour Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
| | - Jiaping Li
- Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China
- Guangxi Key Laboratory of Precision Medicine in Cardio-cerebrovascular Diseases Control and Prevention, 530021, Nanning, Guangxi, China
- Guangxi Clinical Research Center for Cardio-cerebrovascular Diseases, 530021, Nanning, Guangxi, China
| | - Jiwen Cheng
- Center for Genomic and Personalized Medicine, Guangxi Medical University, 530021, Nanning, Guangxi, China.
- Guangxi collaborative innovation center for genomic and personalized medicine, 530021, Nanning, Guangxi, China.
- Guangxi key laboratory for genomic and personalized medicine, Guangxi key laboratory of colleges and universities, 530021, Nanning, Guangxi, China.
- Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China.
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China.
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, 530021, Nanning, Guangxi, China.
- Guangxi collaborative innovation center for genomic and personalized medicine, 530021, Nanning, Guangxi, China.
- Guangxi key laboratory for genomic and personalized medicine, Guangxi key laboratory of colleges and universities, 530021, Nanning, Guangxi, China.
- Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China.
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, 530021, Nanning, Guangxi, China.
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Cai F, Shao C, Zhang Y, Bao Z, Li Z, Shi G, Bao M, Zhang J. Identification and characterisation of a novel FT orthologous gene in London plane with a distinct expression response to environmental stimuli compared to PaFT. Plant Biol (Stuttg) 2019; 21:1039-1051. [PMID: 31192516 DOI: 10.1111/plb.13019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 06/06/2019] [Indexed: 05/26/2023]
Abstract
FLOWERING LOCUS T (FT) is a key integrator of environmental signals and internal cues, and codes for florigen-like activity which regulates the transition from vegetative to reproductive growth in flowering plants. Unlike annual plants, perennial tree species undergo several years of vegetative growth prior to the transition to the reproductive stage, as characterised by the ability to form flower buds. Thereafter, trees in temperate regions typically display an annual growth cycle involving distinct vegetative growth, flowering and dormancy stages. In London plane (Platanus acerifolia Willd.), a FT-like gene has previously been identified. Here, we report the isolation of a novel FT orthologous gene, PaFTL, and investigate the functions of PaFT and PaFTL through the analysis of expression profiles and transgenic phenotypes. PaFT displayed the highest levels of expression during tree dormancy, and similarly elevated expression levels were seen under conditions of low temperature and short days (LT/SD). In contrast, PaFTL transcripts were up-regulated during the floral transition phase, the early stages of inflorescence development and throughout the main flowering period, whereas expression levels were low and variable during dormancy and in response to LT/SD treatments. Ectopic expression of 35s::PaFTL in tobacco produced a phenotype similar to that with PaFT, namely, advanced floral initiation. Overall, the results suggest that PaFT and PaFTL have both conserved and diverse functions in floral initiation, floral development and dormancy regulation.
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Affiliation(s)
- F Cai
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, China
| | - C Shao
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Y Zhang
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Z Bao
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Z Li
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, China
- College of Landscape Architecture, Central South University of Forestry and Technology, Changsha, Hunan, China
| | - G Shi
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, China
| | - M Bao
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, China
| | - J Zhang
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei, China
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Bao M, Zhong J, Cai J, Yang X. P3567Genetic screening for monogenic hypertension in hypertensive individuals in a clinical setting. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.0429] [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: 11/14/2022] Open
Abstract
Abstract
Objectives
Monogenic hypertension describes a series of hypertension syndromes inherited by Mendelian law and present with complex phenotypes.
Methods
1179 cases with monogenic hypertension potential were evaluated by sequencing 37 causative genes. Pathogenic variants were classified by using American College of Medical Genetics guidelines. Additionally, 49 variants of unknown significance were selected to receive functional analysis. The yield of combined genetic and functional analysis was evaluated.
Results
21 deleterious variants were identified in 33 of 1179 (2.80%). Functional analysis for 49 unknown significant variants showed 32 variants harbored by 61 individuals led to abnormally expressed protein levels. Overall, combining genetic screening with functional analysis promoted diagnostic yield to 8.73%. The main etiology established was primary aldosteronism, with CACNA1H harboring the greatest mutation burden. Logistic regression analysis showed hypertension complicated with special manifestations had the strongest correlation with disease causing variants detection (p=0.03).
Sequencing Results Summary Number of variants Number of individuals* Percentage† Individuals with no variant 0 524 44.44% Individuals with variants identified 592 655 55.56% Individuals with single contributing variant 297 480 40.71% Individuals with two or multiple contributing variants 295 175 14.84% Number of variants identified Pathogenic and likely pathogenic variants 21 33 2.80% Variants of unknown significance 570 634 53.77% Benign or likely benign variants 1 1 0.08% Type of variant Frameshift deletion 8 15 1.27% Frameshift insertion 5 5 0.42% Nonframeshift deletion 10 10 0.85% Nonframeshift insertion 6 12 1.02% Nonsynonymous SNV 546 607 51.48% Stopgain SNV 18 30 2.54% WES, whole-exome sequencing. *The statistics in this table was based on 1179 individuals. †The percentage was calculated by the number of individuals in each category.
A flow chart of this study.
Conclusion
Our findings demonstrate an enhanced diagnostic ability by combining genetic analysis with functional evaluation and enables targeted treatment and prevention of hypertension.
Acknowledgement/Funding
This work was supported by National Basic Research Program of China (973 Program, 2014CB542300, 2014CB542302).
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Affiliation(s)
- M Bao
- Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, China
| | - J Zhong
- Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, China
| | - J Cai
- Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Hypertension Center, Beijing, China
| | - X Yang
- Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, China
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Wu L, Zheng M, Bao M, Tong X, Liu Y, Han H. Pregnancy outcome of recurrent spontaneous abortion in Wilson’s disease after decoppering therapy. CLIN EXP OBSTET GYN 2019. [DOI: 10.12891/ceog4781.2019] [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: 11/01/2022]
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Hao B, Chen Z, Zeng G, Huang L, Luan C, Xie Z, Chen J, Bao M, Tian X, Xu B, Wang Y, Wu J, Xia S, Yuan L, Huang J. Efficacy, safety and immunogenicity of live attenuated varicella vaccine in healthy children in China: double-blind, randomized, placebo-controlled clinical trial. Clin Microbiol Infect 2019; 25:1026-1031. [DOI: 10.1016/j.cmi.2018.12.033] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 12/18/2018] [Accepted: 12/22/2018] [Indexed: 10/27/2022]
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Bao H, Liu Z, Bao M, Zhu Z, Yan P, Liu S, Feng Z, Qian B, Qiu Y. Predicted final spinal height in patients with adolescent idiopathic scoliosis can be achieved by surgery regardless of maturity status. Bone Joint J 2018; 100-B:1372-1376. [PMID: 30295519 DOI: 10.1302/0301-620x.100b10.bjj-2017-1540.r2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [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: 11/05/2022]
Abstract
AIMS The aim of this study was to investigate the impact of maturity status at the time of surgery on final spinal height in patients with an adolescent idiopathic scoliosis (AIS) using the spine-pelvic index (SPI). The SPI is a self-control ratio that is independent of age and maturity status. PATIENTS AND METHODS The study recruited 152 female patients with a Lenke 1 AIS. The additional inclusion criteria were a thoracic Cobb angle between 45° and 70°, Risser 0 to 1 or 3 to 4 at the time of surgery, and follow-up until 18 years of age or Risser stage 5. The patients were stratified into four groups: Risser 0 to 1 and selective fusion surgery (Group 1), Risser 0 to 1 and non-selective fusion (Group 2), Risser 3 to 4 and selective fusion surgery (Group 3), and Risser 3 to 4 and non-selective fusion (Group 4). The height of spine at follow-up (HOSf) and height of pelvis at follow-up (HOPf) were measured and the predicted HOS (pHOS) was calculated as 2.22 (SPI) × HOPf. One-way analysis of variance (ANOVA) was performed for statistical analysis. RESULTS Of the 152 patients, there were 32 patients in Group 1, 27 patients in Group 2, 48 patients in Group 3, and 45 patients in Group 4. Significantly greater HOSf was observed in Group 3 compared with Group 1 (p = 0.03) and in Group 4 compared with Group 2 (p = 0.02), with similar HOPf (p = 0.75 and p = 0.83, respectively), suggesting that patients who undergo surgery at Risser grade of 0 to 1 have a shorter spinal height at follow-up than those who have surgery at Risser 4 to 5. HOSf was similar to pHOS in both Group 1 and Group 2 (p = 0.62 and p = 0.45, respectively), indicating that undergoing surgery at Risser 0 to 1 does not necessarily affect final spinal height. CONCLUSION This study shows that fusion surgery at Risser 0 may result in growth restriction unlike fusion surgery at Risser 3 to 4. Despite such growth restriction, AIS patients could reach their predicted or 'normal' spinal height after surgery regardless of baseline maturity status due to the longer baseline spinal length in AIS patients and the remaining growth potential at the non-fusion levels. Cite this article: Bone Joint J 2018;100-B:1372-6.
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Affiliation(s)
- H Bao
- Chief of Orthopedic Department Spine Surgery, Nanjing Drum Town Hospital, Nanjing University Medical School, Nanjing, China
| | - Z Liu
- Chief of Orthopedic Department Spine Surgery, Nanjing Drum Town Hospital, Nanjing University Medical School, Nanjing, China
| | - M Bao
- Geisel School of Medicine, Dartmouth College, New Hampshire, USA
| | - Z Zhu
- Chief of Orthopedic Department Spine Surgery, Nanjing Drum Town Hospital, Nanjing University Medical School, Nanjing, China
| | - P Yan
- Chief of Orthopedic Department Spine Surgery, Nanjing Drum Town Hospital, Nanjing University Medical School, Nanjing, China
| | - S Liu
- Chief of Orthopedic Department Spine Surgery, Nanjing Drum Town Hospital, Nanjing University Medical School, Nanjing, China
| | - Z Feng
- Chief of Orthopedic Department Spine Surgery, Nanjing Drum Town Hospital, Nanjing University Medical School, Nanjing, China
| | - B Qian
- Chief of Orthopedic Department Spine Surgery, Nanjing Drum Town Hospital, Nanjing University Medical School, Nanjing, China
| | - Y Qiu
- Chief of Orthopedic Department Spine Surgery, Nanjing Drum Town Hospital, Nanjing University Medical School, Nanjing, China
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Cao F, Zhang SC, Kawamura K, Liu X, Yang C, Xu Z, Fan M, Zhang W, Bao M, Chang Y, Song W, Liu S, Lee X, Li J, Zhang G, Zhang YL. Chemical characteristics of dicarboxylic acids and related organic compounds in PM2.5 during biomass-burning and non-biomass-burning seasons at a rural site of Northeast China. Environ Pollut 2017; 231:654-662. [PMID: 28846986 DOI: 10.1016/j.envpol.2017.08.045] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 08/01/2017] [Accepted: 08/11/2017] [Indexed: 06/07/2023]
Abstract
Fine particulate matter (PM2.5) samples were collected using a high-volume air sampler and pre-combusted quartz filters during May 2013 to January 2014 at a background rural site (47∘35 N, 133∘31 E) in Sanjiang Plain, Northeast China. A homologous series of dicarboxylic acids (C2-C11) and related compounds (oxoacids, α-dicarbonyls and fatty acids) were analyzed by using a gas chromatography (GC) and GC-MS method employing a dibutyl ester derivatization technique. Intensively open biomass-burning (BB) episodes during the harvest season in fall were characterized by high mass concentrations of PM2.5, dicarboxylic acids and levoglucosan. During the BB period, mass concentrations of dicarboxylic acids and related compounds were increased by up to >20 times with different factors for different organic compounds (i.e., succinic (C4) acid > oxalic (C2) acid > malonic (C3) acid). High concentrations were also found for their possible precursors such as glyoxylic acid (ωC2), 4-oxobutanoic acid, pyruvic acid, glyoxal, and methylglyoxal as well as fatty acids. Levoglucosan showed strong correlations with carbonaceous aerosols (OC, EC, WSOC) and dicarboxylic acids although such good correlations were not observed during non-biomass-burning seasons. Our results clearly demonstrate biomass burning emissions are very important contributors to dicarboxylic acids and related compounds. The selected ratios (e.g., C3/C4, maleic acid/fumaric acid, C2/ωC2, and C2/levoglucosan) were used as tracers for secondary formation of organic aerosols and their aging process. Our results indicate that organic aerosols from biomass burning in this study are fresh without substantial aging or secondary production. The present chemical characteristics of organic compounds in biomass-burning emissions are very important for better understanding the impacts of biomass burning on the atmosphere aerosols.
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Affiliation(s)
- Fang Cao
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Shi-Chun Zhang
- Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Road, Changchun 130102, China
| | - Kimitaka Kawamura
- Chubu Institute for Advanced Studies, Chubu University, Kasugai, 487-8501, Japan
| | - Xiaoyan Liu
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Chi Yang
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Zufei Xu
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Meiyi Fan
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Wenqi Zhang
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Mengying Bao
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Yunhua Chang
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Wenhuai Song
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Shoudong Liu
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Xuhui Lee
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China; School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA
| | - Jun Li
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Gan Zhang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Yan-Lin Zhang
- Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 10044, China; Key Laboratory of Meteorological Disaster Ministry of Education (KLME) & Joint International Research Laboratory of Climate and Environment Change (ILCEC) & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China.
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Bao M, Bovenhuis H, Nieuwland M, Parmentier H, van der Poel J. Genetic parameters of IgM and IgG antibodies binding autoantigens in healthy chickens. Poult Sci 2016; 95:458-65. [DOI: 10.3382/ps/pev347] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 09/30/2015] [Indexed: 12/12/2022] Open
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Bao M, Roura A, Mota M, Nachón D, Antunes C, Cobo F, MacKenzie K, Pascual S. Macroparasites of allis shad (Alosa alosa) and twaite shad (Alosa fallax) of the Western Iberian Peninsula Rivers: ecological, phylogenetic and zoonotic insights. Parasitol Res 2015; 114:3721-39. [DOI: 10.1007/s00436-015-4601-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Accepted: 06/18/2015] [Indexed: 10/23/2022]
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Burmester G, Bao M, Reiss W, Wallace T, Lacey S, Kivitz A. FRI0153 Immunogenicity, Safety and Efficacy of Subcutaneous Tocilizumab in Patients Who Missed Doses. Ann Rheum Dis 2015. [DOI: 10.1136/annrheumdis-2015-eular.1621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Bao M, Mota M, Nachón DJ, Antunes C, Cobo F, Garci ME, Pierce GJ, Pascual S. Anisakis infection in allis shad, Alosa alosa (Linnaeus, 1758), and twaite shad, Alosa fallax (Lacépède, 1803), from Western Iberian Peninsula Rivers: zoonotic and ecological implications. Parasitol Res 2015; 114:2143-54. [PMID: 25810220 DOI: 10.1007/s00436-015-4403-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Accepted: 02/27/2015] [Indexed: 10/23/2022]
Abstract
Spawning individuals of allis shad, Alosa alosa (Linnaeus, 1758), and twaite shad, Alosa fallax (Lacépède, 1803), were sampled from three rivers on the Atlantic coast of the Iberian Peninsula (Ulla, Minho, Mondego) during 2008 to 2013 to assess the presence of the zoonotic marine parasite Anisakis spp. larvae. The results revealed that both shad species were infected by third-larval stage Anisakis simplex s.s. and Anisakis pegreffii. The latter is reported in mixed infections in both shad species of Western Iberian Peninsula for the first time. In A. alosa, the prevalence of Anisakis infection can reach 100%, while in A. fallax, prevalence was up to 83%. Infected individuals of the former species also often contain much higher number of parasites in theirs internal organs and flesh: from 1 to 1138 Anisakis spp. larvae as compared to 1 to 121 larvae, respectively. In general, numbers of A. pegreffii were higher than those of A. simplex s.s. Our results suggest that in the marine environment of the Western Iberian Peninsula, both anadromous shad species act as paratenic hosts for A. simplex s.s. and A. pegreffii, thus widening the distribution of the infective nematode larvae from the marine to the freshwater ecosystem. This finding is of great epidemiological relevance for wildlife managers and consumers, considering the zoonotic and gastroallergic threats posed of these parasites.
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Affiliation(s)
- M Bao
- ECOBIOMAR, Instituto de Investigaciones Marinas (CSIC), Eduardo Cabello 6, 36208, Vigo, Spain,
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Chen Z, Xie F, Bao M, Li X, Chao Y, Lin C, Guo R, Zhang C, Wu A, Yue Y, Guan Y, Wang Y. Activation of p38 MAPK in the rostral ventromedial medulla by visceral noxious inputs transmitted via the dorsal columns may contribute to pelvic organ cross-sensitization in rats with endometriosis. Neuroscience 2015; 291:272-8. [PMID: 25701711 DOI: 10.1016/j.neuroscience.2015.02.021] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2014] [Revised: 02/10/2015] [Accepted: 02/11/2015] [Indexed: 12/27/2022]
Abstract
Whether visceral organ cross-sensitization is involved in endometriosis-associated pain remains elusive. Previous studies have shown that visceral noxious stimuli may trigger a cascade of signal transductions in the rostral ventromedial medulla (RVM) via the spinal dorsal column (DC) pathway and the RVM plays a critical role in the descending control of visceral nociception. In the current study, we hypothesized that the p38 mitogen-activated protein kinase (MAPK) activation in the RVM by noxious visceral inputs from ectopic growths via the DC was involved in the development of pelvic organ cross-sensitization in established endometriosis. A rat model of experimental endometriosis was established. To examine ectopic growths-to-colon cross-sensitization, graded colorectal distention (CRD) was performed and abdominal withdrawal reflex (AWR) scores were recorded in female rats at 8weeks after the uterine or fat (control) auto-transplantation. Western blot study was carried out to examine the phosphorylated form and the total level of p38 MAPK protein in the RVM. Our results showed that lesions of bilateral DCs immediately following uterine or fat auto-transplantation in female rats significantly attenuated the later development of ectopic growths-to-colon cross-sensitization and the increased p38 MAPK activation in the RVM, as compared to sham DC lesions. Furthermore, intra-RVM microinjection of a p38 MAPK inhibitor (SB 203580), but not vehicle, in female rats with established endometriosis significantly attenuated ectopic growths-to-colon cross-sensitization and the increased activation of p38 MAPK in the RVM. These findings suggest that the noxious inputs from ectopic growths may activate p38 MAPK in the RVM via the DC, which may contribute to the development of ectopic growths-to-colon cross-sensitization in established endometriosis.
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Affiliation(s)
- Z Chen
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China; Department of Anesthesiology, Affiliated Hospital, Guilin Medical University, Guilin, Guangxi Province 541000, China
| | - F Xie
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - M Bao
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - X Li
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Y Chao
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - C Lin
- Department of Anesthesiology, Affiliated Hospital, Guilin Medical University, Guilin, Guangxi Province 541000, China
| | - R Guo
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - C Zhang
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - A Wu
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Y Yue
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Y Guan
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Y Wang
- Department of Anesthesiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China.
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Fast E, Haak K, Bao M, Engel SA. Four days of visual contrast adaptation: effects on perceived contrast grow monotonically while effects on orientation rise then fall. J Vis 2014. [DOI: 10.1167/14.10.400] [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: 11/24/2022] Open
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Burmester G, Rubbert-Roth A, Cantagrel A, Hall S, Leszczynski P, Feldman D, Rangaraj M, Roane G, Ludivico C, Mysler E, Bennett M, Rowell L, Bao M. FRI0316 The Efficacy and Safety of Subcutaneous Tocilizumab versus Intravenous Tocilizumab in Combination with Traditional DMARDS in Patients with RA at Week 97 (SUMMACTA). Ann Rheum Dis 2014. [DOI: 10.1136/annrheumdis-2014-eular.1347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Zhang A, Huang Y, Tian D, Lau EH, Wan Y, Liu X, Dong Y, Song Z, Zhang X, Zhang J, Bao M, Zhou M, Yuan S, Sun J, Zhu Z, Hu Y, Chen L, Leung CY, Wu JT, Zhang Z, Zhang X, Peiris JS, Xu J. Kinetics of serological responses in influenza A(H7N9)-infected patients correlate with clinical outcome in China, 2013. ACTA ACUST UNITED AC 2013; 18:20657. [PMID: 24342519 DOI: 10.2807/1560-7917.es2013.18.50.20657] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The novel avian influenza A(H7N9) infection has recently emerged to cause severe respiratory illness in China. The objectives of this study were to define the kinetics of the antibody responses in patients with influenza A(H7N9) disease and to correlate these kinetics with clinical outcome. Serial serum samples were obtained at intervals of three to four days from 18 patients with virologically confirmed A(H7N9) disease in Shanghai. We determined the kinetics of the haemagglutination inhibition (HI) and A(H7H9) pseudotype neutralisation antibody (Nab) responses and correlated these with clinical outcomes. Most patients had robust serological responses by both HI and Nab tests. Taking into account censoring due to time of testing and death, the median time from onset of illness to Nab titre ≥1:40 was 14 days (95% confidence interval (CI): 11–18 days) in the fatal cases and 10.5 days (95% CI: 7–12) in the survivors (p=0.003). The two groups did not differ in initial Nab titres, but the rate of increase in Nab titres was significantly faster for survivors by approximately 10-fold per 15 days (p=0.007). Early and rapid induction of Nab was correlated significantly with better clinical outcome.
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Affiliation(s)
- A Zhang
- Shanghai Public Health Clinical Center and Institutes of Biomedical Sciences, Key Laboratory of Medical Molecular Virology of Ministry of Education/Health, Shanghai Medical College, Fudan University, Shanghai, China
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Liao B, Qiao H, Zhao X, Bao M, Liu L, Zheng C, Li C, Ning Z. Influence of eggshell ultrastructural organization on hatchability. Poult Sci 2013; 92:2236-9. [DOI: 10.3382/ps.2012-02728] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Ning G, Xiao X, Lv H, Li X, Zuo Y, Bao M. Shortening tobacco life cycle accelerates functional gene identification in genomic research. Plant Biol (Stuttg) 2012; 14:934-43. [PMID: 23107371 DOI: 10.1111/j.1438-8677.2012.00571.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Definitive allocation of function requires the introduction of genetic mutations and analysis of their phenotypic consequences. Novel, rapid and convenient techniques or materials are very important and useful to accelerate gene identification in functional genomics research. Here, over-expression of PmFT (Prunus mume), a novel FT orthologue, and PtFT (Populus tremula) lead to shortening of the tobacco life cycle. A series of novel short life cycle stable tobacco lines (30-50 days) were developed through repeated self-crossing selection breeding. Based on the second transformation via a gusA reporter gene, the promoter from BpFULL1 in silver birch (Betula pendula) and the gene (CPC) from Arabidopsis thaliana were effectively tested using short life cycle tobacco lines. Comparative analysis among wild type, short life cycle tobacco and Arabidopsis transformation system verified that it is optional to accelerate functional gene studies by shortening host plant material life cycle, at least in these short life cycle tobacco lines. The results verified that the novel short life cycle transgenic tobacco lines not only combine the advantages of economic nursery requirements and a simple transformation system, but also provide a robust, effective and stable host system to accelerate gene analysis. Thus, shortening tobacco life cycle strategy is feasible to accelerate heterologous or homologous functional gene identification in genomic research.
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MESH Headings
- Arabidopsis/genetics
- Arabidopsis/growth & development
- Arabidopsis/metabolism
- Arabidopsis Proteins/genetics
- Arabidopsis Proteins/metabolism
- Betula/genetics
- Cloning, Molecular
- Crosses, Genetic
- Flowers/genetics
- Flowers/growth & development
- Flowers/metabolism
- Gene Expression Regulation, Plant
- Genes, Plant
- Genes, Reporter
- Genomics/methods
- Inbreeding
- Phenotype
- Plants, Genetically Modified/genetics
- Plants, Genetically Modified/growth & development
- Plants, Genetically Modified/metabolism
- Plasmids/genetics
- Populus/genetics
- Promoter Regions, Genetic
- Proto-Oncogene Proteins c-myb/genetics
- Proto-Oncogene Proteins c-myb/metabolism
- Prunus/genetics
- Prunus/metabolism
- Self-Fertilization
- Species Specificity
- Time Factors
- Nicotiana/genetics
- Nicotiana/growth & development
- Nicotiana/metabolism
- Transformation, Genetic
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Affiliation(s)
- G Ning
- Key laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
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Bao M, Engel S. Separate mechanisms for long- and short-term contrast adaptation. J Vis 2011. [DOI: 10.1167/11.11.1011] [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: 11/24/2022] Open
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Zhang J, Liu G, Guo C, He Y, Li Z, Ning G, Shi X, Bao M. The FLOWERING LOCUS T orthologous gene of Platanus acerifolia is expressed as alternatively spliced forms with distinct spatial and temporal patterns. Plant Biol (Stuttg) 2011; 13:809-20. [PMID: 21815986 DOI: 10.1111/j.1438-8677.2010.00432.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The FLOWERING LOCUS T (FT) protein is a likely component of the 'florigen' signal that plays a crucial role in regulating the transition from vegetative to reproductive growth. Here, we report the isolation of full-length cDNAs and the corresponding genomic clones encoding orthologous FT proteins (PaFT) of London plane (Platanus acerifolia Willd). Two genes with high sequence identity were isolated (PaFT1-2), but 34 different transcript products were identified, comprising 21 splice forms produced by alternative splicing of the PaFT pre-mRNAs. Expression of the alternative splicing forms of PaFT varied according to tissue type and developmental stage. PaFT transcripts were detected throughout adult trees, whereas in juvenile trees they were only detected in dormant sub-petiolar buds. In adult trees, levels of the various alternative splicing PaFT forms were related to flower development stage and tree dormancy. Ectopic expression of the archetypal splice form of PaFT-A in tobacco and Arabidopsis developed multiple altered phenotypes, notably early flowering and attenuation of apical dominance. The evidence in this study indicates that complex alternative processing of PaFT transcripts in P. acerifolia may be associated with multiple regulatory roles, including initiation of flowering, flower development, apical dominance, tree dormancy and dormancy release.
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Affiliation(s)
- J Zhang
- Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
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Liu J, Fang PH, Dibs S, Hou Y, Li XF, Zhang S, Tao H, Zhang J, Li L, Ran Y, Chen J, Li N, Feng L, Hui R, Pu J, Bao M, Tan T, Yu S, Chen K, Huang C. CSPE Best Abstract Award Session. Europace 2011. [DOI: 10.1093/europace/euq491] [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: 11/14/2022] Open
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Lauterbach JH, Bao M, Joza PJ, Rickert WS. Free-base nicotine in tobacco products. Part I. Determination of free-base nicotine in the particulate phase of mainstream cigarette smoke and the relevance of these findings to product design parameters. Regul Toxicol Pharmacol 2010; 58:45-63. [PMID: 20621585 DOI: 10.1016/j.yrtph.2010.05.007] [Citation(s) in RCA: 4] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2009] [Revised: 05/16/2010] [Accepted: 05/18/2010] [Indexed: 11/24/2022]
Abstract
The free-base nicotine (FBN) content of mainstream cigarette smoke (MSS) has been discussed in the peer-reviewed literature and popular press. It has been alleged that manufacturers adjust product design features to increase the percentage of total nicotine (TN) in the MSS gas-vapor phase that is unprotonated [P(g)(,nic)(%)] and/or the fraction of nicotine in the MSS total particulate matter (TPM) that is unprotonated (FBN/TN). Our research showed the Health Canada Intensive smoking conditions negated the effects of blend and cigarette design features reported to raise the pH of TPM collected under ISO or US FTC conditions. Our research also showed that when additive-free Canadian cigarettes were smoked under ISO conditions, the FBN/TN ratio increased as the tar/nicotine ratio decreased. Our findings are in line with other studies that have questioned allegations of a relationship between use of ammonia and its compounds as tobacco additives and amounts of unprotonated nicotine in MSS. In addition, the experimental work demonstrated how use of solid-phase microextraction to estimate FBN can yield erroneously high results due to improper conditioning and/or smoking of the cigarettes. Our research showed that there is no longer any scientific support for regulators to require smoke pH and FBN determinations on cigarette products.
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Affiliation(s)
- J H Lauterbach
- Lauterbach & Associates, LLC, 211 Old Club Court, Macon, GA 31210-4708, USA.
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45
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Bao M, He B, Yang L, Rios C, Engel S. Perceptual learning can increase feed-forward neural response in early visual cortex. J Vis 2010. [DOI: 10.1167/9.8.867] [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: 11/24/2022] Open
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46
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Engel S, Zhang P, Bao M, Kwon M, He S. Effects of orientation specific visual deprivation in adults measured using altered reality. J Vis 2010. [DOI: 10.1167/9.8.848] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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47
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Bao M, Zhang P, Engel S. Adaptation effects that gain strength over 8 hour induction periods. J Vis 2010. [DOI: 10.1167/10.7.1364] [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: 11/24/2022] Open
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48
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Engel S, Zhang P, Bao M. Adaptation to low signal to noise decreases visual sensitivity. J Vis 2010. [DOI: 10.1167/10.7.1126] [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: 11/24/2022] Open
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49
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Zhang P, Bao M, He S, Engel S. Long-term orientation-specific contrast reduction reveals plasticity of mechanisms of contrast appearance. J Vis 2010. [DOI: 10.1167/8.17.16] [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: 11/24/2022] Open
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50
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Ligero P, Villaverde JJ, Vega A, Bao M. Pulping cardoon (Cynara cardunculus) with peroxyformic acid (MILOX) in one single stage. Bioresour Technol 2008; 99:5687-5693. [PMID: 18039568 DOI: 10.1016/j.biortech.2007.10.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2007] [Revised: 10/11/2007] [Accepted: 10/11/2007] [Indexed: 05/25/2023]
Abstract
In this work, depithed cardoon stalk (Cynara cardunculus) has been used with the objective of obtaining bleachable pulps. The material, once properly prepared, was subjected to one-step peroxyformic acid delignification. In order to study the process, a face-centred second order factorial design was developed which allowed the determination of the influences of four variables: concentrations of formic acid and hydrogen peroxide in the cooking liquor and the time and temperature of the treatment. Empirical mathematical models have been obtained which predict the yield, kappa index, residual lignin content, and viscosity of the pulps. These models demonstrate that in general the delignification was extensive, producing pulps with kappa indexes less than 25 in the majority of cases, with good yields in the range of 45-60%. However, the pulps seem to have been degraded in the reaction media, as can be deduced from the low viscosity values found: 260-520 mL/g.
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Affiliation(s)
- P Ligero
- Department of Physical Chemistry and Chemical Engineering, University of A Coruña, Campus da Zapateira s/n, 15071 A Coruña, Spain
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