1
|
Chen Y, Tang F, Cao Z, Zeng J, Qiu Z, Zhang C, Long H, Cheng P, Sun Q, Han W, Tang K, Tang J, Zhao Y, Tian D, Du X. Global pattern and determinant for interaction of seasonal influenza viruses. J Infect Public Health 2024; 17:1086-1094. [PMID: 38705061 DOI: 10.1016/j.jiph.2024.04.024] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/22/2024] [Accepted: 04/25/2024] [Indexed: 05/07/2024] Open
Abstract
BACKGROUND The prevalence of different types/subtypes varies across seasons and countries for seasonal influenza viruses, indicating underlying interactions between types/subtypes. The global interaction patterns and determinants for seasonal influenza types/subtypes need to be explored. METHODS Influenza epidemiological surveillance data, as well as multidimensional data that include population-related, environment-related, and virus-related factors from 55 countries worldwide were used to explore type/subtype interactions based on Spearman correlation coefficient. The machine learning method Extreme Gradient Boosting (XGBoost) and interpretable framework SHapley Additive exPlanation (SHAP) were utilized to quantify contributing factors and their effects on interactions among influenza types/subtypes. Additionally, causal relationships between types/subtypes were also explored based on Convergent Cross-mapping (CCM). RESULTS A consistent globally negative correlation exists between influenza A/H3N2 and A/H1N1. Meanwhile, interactions between influenza A (A/H3N2, A/H1N1) and B show significant differences across countries, primarily influenced by population-related factors. Influenza A has a stronger driving force than influenza B, and A/H3N2 has a stronger driving force than A/H1N1. CONCLUSION The research elucidated the globally complex and heterogeneous interaction patterns among influenza type/subtypes, identifying key factors shaping their interactions. This sheds light on better seasonal influenza prediction and model construction, informing targeted prevention strategies and ultimately reducing the global burden of seasonal influenza.
Collapse
Affiliation(s)
- Yilin Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Feng Tang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; Foshan Center for Disease Control and Prevention, Foshan 528000, PR China
| | - Zicheng Cao
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; School of Public Health, Shantou University, Shantou 515000, PR China
| | - Jinfeng Zeng
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Zekai Qiu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Chi Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Haoyu Long
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Peiwen Cheng
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Qianru Sun
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Wenjie Han
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Kang Tang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Jing Tang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Yang Zhao
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; Shenzhen Key Laboratory of Pathogenic Microbes & Biosafety, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Dechao Tian
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; Shenzhen Key Laboratory of Pathogenic Microbes & Biosafety, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China
| | - Xiangjun Du
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, PR China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; Shenzhen Key Laboratory of Pathogenic Microbes & Biosafety, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, PR China; Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou 510030, PR China.
| |
Collapse
|
2
|
Zeng J, Du F, Xiao L, Sun H, Lu L, Lei W, Zheng J, Wang L, Shu S, Li Y, Zhang Q, Tang K, Sun Q, Zhang C, Long H, Qiu Z, Zhai K, Li Z, Zhang G, Sun Y, Wang D, Zhang Z, Lycett SJ, Gao GF, Shu Y, Liu J, Du X, Pu J. Spatiotemporal genotype replacement of H5N8 avian influenza viruses contributed to H5N1 emergence in 2021/2022 panzootic. J Virol 2024; 98:e0140123. [PMID: 38358287 PMCID: PMC10949427 DOI: 10.1128/jvi.01401-23] [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: 09/12/2023] [Accepted: 01/22/2024] [Indexed: 02/16/2024] Open
Abstract
Since 2020, clade 2.3.4.4b highly pathogenic avian influenza H5N8 and H5N1 viruses have swept through continents, posing serious threats to the world. Through comprehensive analyses of epidemiological, genetic, and bird migration data, we found that the dominant genotype replacement of the H5N8 viruses in 2020 contributed to the H5N1 outbreak in the 2021/2022 wave. The 2020 outbreak of the H5N8 G1 genotype instead of the G0 genotype produced reassortment opportunities and led to the emergence of a new H5N1 virus with G1's HA and MP genes. Despite extensive reassortments in the 2021/2022 wave, the H5N1 virus retained the HA and MP genes, causing a significant outbreak in Europe and North America. Furtherly, through the wild bird migration flyways investigation, we found that the temporal-spatial coincidence between the outbreak of the H5N8 G1 virus and the bird autumn migration may have expanded the H5 viral spread, which may be one of the main drivers of the emergence of the 2020-2022 H5 panzootic.IMPORTANCESince 2020, highly pathogenic avian influenza (HPAI) H5 subtype variants of clade 2.3.4.4b have spread across continents, posing unprecedented threats globally. However, the factors promoting the genesis and spread of H5 HPAI viruses remain unclear. Here, we found that the spatiotemporal genotype replacement of H5N8 HPAI viruses contributed to the emergence of the H5N1 variant that caused the 2021/2022 panzootic, and the viral evolution in poultry of Egypt and surrounding area and autumn bird migration from the Russia-Kazakhstan region to Europe are important drivers of the emergence of the 2020-2022 H5 panzootic. These findings provide important targets for early warning and could help control the current and future HPAI epidemics.
Collapse
Affiliation(s)
- Jinfeng Zeng
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Fanshu Du
- National Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Linna Xiao
- Key Laboratory for Biodiversity Science and Ecological Engineering, Demonstration Center for Experimental Life Sciences & Biotechnology Education, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Honglei Sun
- National Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Lu Lu
- The Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Weipan Lei
- Key Laboratory for Biodiversity Science and Ecological Engineering, Demonstration Center for Experimental Life Sciences & Biotechnology Education, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Jialu Zheng
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Lu Wang
- National Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Sicheng Shu
- National Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Yudong Li
- National Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Qiang Zhang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Kang Tang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Qianru Sun
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Chi Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Haoyu Long
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Zekai Qiu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Ke Zhai
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Zhichao Li
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Geli Zhang
- College of Land Science and Technology, China Agricultural University, Beijing, China
| | - Yipeng Sun
- National Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Dayan Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhengwang Zhang
- Key Laboratory for Biodiversity Science and Ecological Engineering, Demonstration Center for Experimental Life Sciences & Biotechnology Education, College of Life Sciences, Beijing Normal University, Beijing, China
| | - Samantha J. Lycett
- The Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - George F. Gao
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Yuelong Shu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- National Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology of Chinese Academy of Medical Science (CAMS)/Peking Union Medical College (PUMC), Beijing, China
| | - Jinhua Liu
- National Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Xiangjun Du
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
- Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, China
| | - Juan Pu
- National Key Laboratory of Veterinary Public Health and Safety, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases, Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| |
Collapse
|
3
|
Qiu Z, Huang Z, Zhu L, Huang X, Wang WH, Tie J, Shen L, Shi M, Chen J, Liu M, Cheng J, Zhang J, Li Y, Wang S. A Nomogram to Predict Pathological Axillary Status in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e202. [PMID: 37784855 DOI: 10.1016/j.ijrobp.2023.06.1080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) This study aimed to identify factors influencing axillary pathological complete response (pCR) and to develop a predictive nomogram to evaluate axillary pCR rate in breast cancer patients treated with neoadjuvant chemotherapy (NAC). MATERIALS/METHODS A total of 2368 patients who received NAC and mastectomy between 2000 and 2014 from 12 grade A tertiary hospitals in China were analyzed retrospectively. The patients treated in three cancer hospitals (training set, n = 1629) were used to construct the nomogram based on multivariate logistic regression analyses. The nomograph was validated by the area under the receiver operating characteristic curve (AUC) and calibration curve in patients from 9 other general hospitals (validation set, n = 739). RESULTS The nomogram incorporated seven predicting factors including NACT cycles, response to NACT, clinical T stage, clinical N stage, grade, LVI, and molecular subtype. The AUC for the training set and validation set were 0.762 and 0.802, respectively. In addition, the calibration curve also showed good agreement between the nomogram-based predictions and the actual observations. CONCLUSION A nomogram was established to predict the status of axillary lymph nodes in breast cancer patients after NAC. The predictive model performed well both in the training set and external validation set.
Collapse
Affiliation(s)
- Z Qiu
- Department of Radiation Oncology, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - L Zhu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - X Huang
- Department of Radiation Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - W H Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - J Tie
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - L Shen
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - M Shi
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China
| | - J Chen
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - M Liu
- Department of Radiation Oncology, the First Hospital, Jilin University, Changchun, China
| | - J Cheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Zhang
- Department of Radiation Oncology, Forth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Y Li
- Department of Radiation Oncology, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - S Wang
- Department of Radiation Oncology, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
4
|
Cheng M, Lin R, Bai N, Zhang Y, Wang H, Guo M, Duan X, Zheng J, Qiu Z, Zhao Y. Deep learning for predicting the risk of immune checkpoint inhibitor-related pneumonitis in lung cancer. Clin Radiol 2023; 78:e377-e385. [PMID: 36914457 DOI: 10.1016/j.crad.2022.12.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/14/2022] [Accepted: 12/20/2022] [Indexed: 01/15/2023]
Abstract
AIM To develop and validate a nomogram model that combines computed tomography (CT)-based radiological factors extracted from deep-learning and clinical factors for the early predictions of immune checkpoint inhibitor-related pneumonitis (ICI-P). MATERIALS AND METHODS Forty ICI-P patients and 101 patients without ICI-P were divided randomly into the training (n=113) and test (n=28) sets. The convolution neural network (CNN) algorithm was used to extract the CT-based radiological features of predictable ICI-P and calculated the CT score of each patient. A nomogram model to predict the risk of ICI-P was developed by logistic regression. RESULTS CT score was calculated from five radiological features extracted by the residual neural network-50-V2 with feature pyramid networks. Four predictors of ICI-P in the nomogram model included a clinical feature (pre-existing lung diseases), two serum markers (absolute lymphocyte count and lactate dehydrogenase), and a CT score. The area under curve of the nomogram model in the training (0.910 versus 0.871 versus 0.778) and test (0.900 versus 0.856 versus 0.869) sets was better than the radiological and clinical models. The nomogram model showed good consistency and better clinical practicability. CONCLUSION The nomogram model that combined CT-based radiological factors and clinical factors can be used as a new non-invasive tool for the early prediction of ICI-P in lung cancer patients after immunotherapy with low cost and low manual input.
Collapse
Affiliation(s)
- M Cheng
- Department of Internal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China
| | - R Lin
- College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang Province, China
| | - N Bai
- College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang Province, China
| | - Y Zhang
- Department of Internal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China
| | - H Wang
- Department of Internal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China
| | - M Guo
- Department of Internal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China
| | - X Duan
- Department of Internal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China
| | - J Zheng
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Z Qiu
- College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang Province, China
| | - Y Zhao
- Department of Internal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China.
| |
Collapse
|
5
|
Qiu Z, Zhang H, Xia M, Gu J, Guo K, Wang H, Miao C. Programmed Death of Microglia in Alzheimer's Disease: Autophagy, Ferroptosis, and Pyroptosis. J Prev Alzheimers Dis 2023; 10:95-103. [PMID: 36641613 DOI: 10.14283/jpad.2023.3] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline, amyloid-β (Aβ) plaques and the formation of neurofibrillary tangles (NFTs) composed of hyperphosphorylated tau. Increasing evidence has demonstrated that the damage of cell plays an important role in AD. Cell death is a critical phenomenon for physiological functions, which promotes AD pathogenesis. Programmed cell death, including necroptosis, pyroptosis, autophagy, and ferroptosis, have been discovered that have unique biological functions and pathophysiological characteristics. Here, we review the available evidence detailing the mechanisms of programmed microglial death, including pyroptosis, autophagy, and ferroptosis. We also highlight the role of programmed death of microglia during the process of AD and focus on the connection between the disease and cell death.
Collapse
Affiliation(s)
- Z Qiu
- Changhong Miao, Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China,
| | | | | | | | | | | | | |
Collapse
|
6
|
Abstract
Telomere length (TL) in blood cells is commonly used as a proxy for TL in other tissue types. The source of DNA of adequate quality and quantity is important for TL analysis. Compared to blood cells, buccal cells easy for genomic DNA preparation would facilitate the rapid and reliable TL analysis. However, the feasibility of buccal cells for TL analysis remains yet unestablished. We characterized TL of buccal cells and blood cells collected from 52 individuals using buccal cell swabs and fingertip sticks. Relative TL (RTL) determined by quantitative PCR showed that there is a strong correlation between buccal RTL and blood RTL (r=0.877, p<0.001), suggesting that buccal cells are adequate sources of DNA for TL analysis. The validity of sampling using buccal cell swabs provides simple operation and good reproducibility for TL analysis, that overcomes the discomfort and risk of infection caused by blood sampling.
Collapse
Affiliation(s)
- L Xu
- Key Laboratory of Aging and Cancer Biology of Zhejiang Province, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
| | - Z Qiu
- Key Laboratory of Aging and Cancer Biology of Zhejiang Province, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
| | - Y-S Cong
- Key Laboratory of Aging and Cancer Biology of Zhejiang Province, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China.
| |
Collapse
|
7
|
Zheng Y, Du Y, Qiu Z, Liu Z, Qiao J, Li Y, Caiyin Q. Nisin Variants Generated by Protein Engineering and Their Properties. Bioengineering (Basel) 2022; 9:bioengineering9060251. [PMID: 35735494 PMCID: PMC9219921 DOI: 10.3390/bioengineering9060251] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 05/28/2022] [Accepted: 06/08/2022] [Indexed: 02/07/2023] Open
Abstract
Nisin, a typical lantibiotic, has robust antimicrobial activity combined with limited cytotoxicity, and the development of resistance to it is slow. These properties make nisin a promising antimicrobial agent to control pathogenic microorganisms in dairy foods. However, its low solubility, poor stability and short half-life at neutral pH limit its application within the dairy industry. Protein engineering technology has revealed the potential of modifying nisin to improve its properties, and many valuable variants have emerged. This review summarizes progress in the generation of nisin variants for the dairy industry and for other purposes. These nisin variants with additional modification have improved properties and can even expand the inhibition spectrum range of nisin. Nisin, as the most thoroughly studied lantibiotic, and its variants can also guide the modification of other lantibiotics.
Collapse
Affiliation(s)
- Yue Zheng
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Y.Z.); (Z.Q.); (Z.L.); (J.Q.); (Y.L.)
- Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, China
| | - Yuhui Du
- MOE International Joint Research Laboratory on Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China;
| | - Zekai Qiu
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Y.Z.); (Z.Q.); (Z.L.); (J.Q.); (Y.L.)
- Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, China
| | - Ziming Liu
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Y.Z.); (Z.Q.); (Z.L.); (J.Q.); (Y.L.)
- Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, China
| | - Jianjun Qiao
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Y.Z.); (Z.Q.); (Z.L.); (J.Q.); (Y.L.)
- Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, China
| | - Yanni Li
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Y.Z.); (Z.Q.); (Z.L.); (J.Q.); (Y.L.)
- Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, China
| | - Qinggele Caiyin
- School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; (Y.Z.); (Z.Q.); (Z.L.); (J.Q.); (Y.L.)
- Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300072, China
- Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin 300072, China
- Correspondence:
| |
Collapse
|
8
|
Qiu Z, Cao Z, Zou M, Tang K, Zhang C, Tang J, Zeng J, Wang Y, Sun Q, Wang D, Du X. The effectiveness of governmental nonpharmaceutical interventions against COVID-19 at controlling seasonal influenza transmission: an ecological study. BMC Infect Dis 2022; 22:331. [PMID: 35379168 PMCID: PMC8977560 DOI: 10.1186/s12879-022-07317-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/28/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND A range of strict nonpharmaceutical interventions (NPIs) were implemented in many countries to combat the coronavirus 2019 (COVID-19) pandemic. These NPIs may also be effective at controlling seasonal influenza virus infections, as influenza viruses have the same transmission path as severe acute respiratory syndrome coronavirus 2. The aim of this study was to evaluate the effects of different NPIs on the control of seasonal influenza. METHODS Data for 14 NPIs implemented in 33 countries and the corresponding influenza virological surveillance data were collected. The influenza suppression index was calculated as the difference between the influenza positivity rate during its period of decline from 2019 to 2020 and during the influenza epidemic seasons in the previous 9 years. A machine learning model was developed using an extreme gradient boosting tree regressor to fit the NPI and influenza suppression index data. The SHapley Additive exPlanations tool was used to characterize the NPIs that suppressed the transmission of influenza. RESULTS Of all NPIs tested, gathering limitations had the greatest contribution (37.60%) to suppressing influenza transmission during the 2019-2020 influenza season. The three most effective NPIs were gathering limitations, international travel restrictions, and school closures. For these three NPIs, their intensity threshold required to generate an effect were restrictions on the size of gatherings less than 1000 people, ban of travel to all regions or total border closures, and closing only some categories of schools, respectively. There was a strong positive interaction effect between mask-wearing requirements and gathering limitations, whereas merely implementing a mask-wearing requirement, and not other NPIs, diluted the effectiveness of mask-wearing requirements at suppressing influenza transmission. CONCLUSIONS Gathering limitations, ban of travel to all regions or total border closures, and closing some levels of schools were found to be the most effective NPIs at suppressing influenza transmission. It is recommended that the mask-wearing requirement be combined with gathering limitations and other NPIs. Our findings could facilitate the precise control of future influenza epidemics and other potential pandemics.
Collapse
Affiliation(s)
- Zekai Qiu
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Zicheng Cao
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Min Zou
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Kang Tang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Chi Zhang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Jing Tang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Jinfeng Zeng
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Yaqi Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Qianru Sun
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Daoze Wang
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China.,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Xiangjun Du
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, 518107, People's Republic of China. .,School of Public Health (Shenzhen), Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China. .,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-Sen University, Guangzhou, 510030, People's Republic of China.
| |
Collapse
|
9
|
Cao Z, Qiu Z, Tang F, Liang S, Wang Y, Long H, Chen C, Zhang B, Zhang C, Wang Y, Tang K, Tang J, Chen J, Yang C, Xu Y, Yang Y, Xiao S, Tian D, Jiang G, Du X. Drivers and forecasts of multiple waves of the coronavirus disease 2019 pandemic: a systematic analysis based on an interpretable machine learning framework. Transbound Emerg Dis 2022; 69:e1584-e1594. [PMID: 35192224 DOI: 10.1111/tbed.14492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 02/20/2022] [Accepted: 02/21/2022] [Indexed: 11/26/2022]
Abstract
Coronavirus disease 2019 (COVID-19) has become a global pandemic and continues to prevail with multiple rebound waves in many countries. The driving factors for the spread of COVID-19 and their quantitative contributions, especially to rebound waves, are not well studied. Multidimensional time-series data, including policy, travel, medical, socioeconomic, environmental, mutant and vaccine related data, were collected from 39 countries up to June 30, 2021, and an interpretable machine learning framework (XGBoost model with Shapley Additive explanation interpretation) was used to systematically analyze the effect of multiple factors on the spread of COVID-19, using the daily effective reproduction number as an indicator. Based on a model of the pre-vaccine era, policy-related factors were shown to be the main drivers of the spread of COVID-19, with a contribution of 60.81%. In the post-vaccine era, the contribution of policy-related factors decreased to 28.34%, accompanied with an increase in the contribution of travel-related factors, such as domestic flights, and contributions emerged for mutant-related (16.49%) and vaccine-related (7.06%) factors. For single-peak countries, the dominant ones were policy-related factors during both the rising and fading stages, with overall contributions of 33.7% and 37.7%, respectively. For double-peak countries, factors from the rebound stage contributed 45.8% and policy-related factors showed the greatest contribution in both the rebound (32.6%) and fading (25.0%) stages. For multiple-peak countries, the Delta variant, domestic flights (current month) and the daily vaccination population are the three greatest contributors (8.12%, 7.59% and 7.26%, respectively). Forecasting models to predict the rebound risk were built based on these findings, with accuracies of 0.78 and 0.81 for the pre- and post-vaccine eras, respectively. These findings quantitatively demonstrate the systematic drivers of the spread of COVID-19, and the framework proposed in this study will facilitate the targeted prevention and control of the ongoing COVID-19 pandemic. This article is protected by copyright. All rights reserved.
Collapse
Affiliation(s)
- Zicheng Cao
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Zekai Qiu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Feng Tang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,Foshan Center for Disease Control and Prevention, Foshan, 528010, P.R. China
| | - Shiwen Liang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,Fujian Provincial Center for Disease Control and Prevention, Fuzhou, 350001, P.R. China
| | - Yinghan Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,Clinical research center, Second Affiliated Hospital of Kunming Medical University, Kunming, 650033, P.R. China
| | - Haoyu Long
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Cai Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China
| | - Bing Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Chi Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Yaqi Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Kang Tang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Jing Tang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Junhong Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Chunhui Yang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Yuzhe Xu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Yulin Yang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Shenglan Xiao
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Dechao Tian
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Guozhi Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China
| | - Xiangjun Du
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, 510275, P.R. China.,School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, P.R. China.,Key Laboratory of Tropical Disease Control, Ministry of Education, Sun Yat-sen University, Guangzhou, 510030, P.R. China
| |
Collapse
|
10
|
Proescholdt M, Qiu Z, Falter J, Schmidt N. P13.14 Inhibition of extracellular carbonic anhydrases reduces glioblastoma cell invasion. Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab180.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
BACKGROUND
Malignant gliomas metabolize glucose preferably by glycolysis which is in accordance with the Warburg effect. This induces a high demand of glucose combined with a significant lactic acid load. The hypoxia-inducible carbonic anhydrase (CA) IX has been shown to moderate the extrusion of hydrogen ions into the extracellular space. Since the acidification of the extracellular environment contributes to host tissue invasion due to activation of proteolytic enzymes, we hypothesized that CA IX plays an important role in malignant glioma Recently, specific small molecule inhibitors of this enzyme have been developed and may provide an innovative strategy for anti - invasive treatment.
MATERIAL AND METHODS
Two established and 4 primary GBM cell lines (2 with mesenchymal and 2 with proneural transcriptional profile) were exposed to the CAIX inhibitor U104 under normoxic and hypoxic conditions. Cell toxicity was measured by ATP and crystal violet assay. For invasion assessment, a matrigel invasion chamber system with 8 µm pore size polycarbonate filter was used. CAIX expression was analyzed by quantitative RTPCR and Western Blot.
RESULTS
Hypoxia significantly induced CAIX expression in all cell lines. Invasiveness increased significantly under hypoxic conditions in the mesenchymal cells (p < 0.01). Regardless of oxygenation status, the mesenchymal group displayed significantly higher invasiveness compared to the proneural group (p = 0.006). Looking at all cell lines, invasion is significantly inhibited by U104, both under normoxic and hypoxic conditions (p < 0.01). However, while the mesenchymal group showed the highest susceptibility to CAIX inhibition followed by the proneurally differentiated group, the established cell lines were entirely refractory to CAIX inhibition.
CONCLUSION
Our data demonstrate that CAIX inhibition can effectively inhibit invasion in malignant glioma cells independent from oxygenation status, however the effects are significantly influenced by cell type specific biological features.
Collapse
Affiliation(s)
| | - Z Qiu
- University Hospital Regensburg, Regensburg, Germany
| | - J Falter
- University Hospital Regensburg, Regensburg, Germany
| | - N Schmidt
- University Hospital Regensburg, Regensburg, Germany
| |
Collapse
|
11
|
Wang Y, Zeng J, Zhang C, Chen C, Qiu Z, Pang J, Xu Y, Dong Z, Song Y, Liu W, Dong P, Sun L, Chen YQ, Shu Y, Du X. New framework for recombination and adaptive evolution analysis with application to the novel coronavirus SARS-CoV-2. Brief Bioinform 2021; 22:bbab107. [PMID: 33885735 PMCID: PMC8083196 DOI: 10.1093/bib/bbab107] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 02/27/2021] [Accepted: 03/11/2021] [Indexed: 12/12/2022] Open
Abstract
The 2019 novel coronavirus (SARS-CoV-2) has spread rapidly worldwide and was declared a pandemic by the WHO in March 2020. The evolution of SARS-CoV-2, either in its natural reservoir or in the human population, is still unclear, but this knowledge is essential for effective prevention and control. We propose a new framework to systematically identify recombination events, excluding those due to noise and convergent evolution. We found that several recombination events occurred for SARS-CoV-2 before its transfer to humans, including a more recent recombination event in the receptor-binding domain. We also constructed a probabilistic mutation network to explore the diversity and evolution of SARS-CoV-2 after human infection. Clustering results show that the novel coronavirus has diverged into several clusters that cocirculate over time in various regions and that several mutations across the genome are fixed during transmission throughout the human population, including D614G in the S gene and two accompanied mutations in ORF1ab. Together, these findings suggest that SARS-CoV-2 experienced a complicated evolution process in the natural environment and point to its continuous adaptation to humans. The new framework proposed in this study can help our understanding of and response to other emerging pathogens.
Collapse
Affiliation(s)
- Yinghan Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Jinfeng Zeng
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Chi Zhang
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Cai Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Zekai Qiu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Jiali Pang
- School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yutian Xu
- School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China
| | - Zhiqi Dong
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Yanxin Song
- Lingnan College, Sun Yat-sen University, Guangzhou, China
| | - Weiying Liu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Peipei Dong
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Litao Sun
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Yao-Qing Chen
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Yuelong Shu
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, China
| | - Xiangjun Du
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, China
| |
Collapse
|
12
|
Chen Q, Zhang M, Si F, Wang S, Xu X, Yu L, Lai K, Qiu Z. Flupentixol/melitracen for chronic refractory cough after treatment failure with other neuromodulators. Int J Tuberc Lung Dis 2021; 25:648-654. [PMID: 34330350 DOI: 10.5588/ijtld.21.0083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND: Gabapentin and baclofen are recommended for the treatment of chronic refractory cough (CRC). We investigated the efficacy of flupentixol/melitracen in patients unresponsive to these neuromodulators.METHODS: A total of 101 patients with CRC who failed to respond to gabapentin and baclofen were recruited, and treated with flupentixol/melitracen. The prevalence of cough resolution and changes in the Cough Symptom Score (CSS), cough thresholds to capsaicin, Hull Airway Reflux Questionnaire (HARQ), Leicester Cough Questionnaire (LCQ), Generalized Anxiety Disorder-7, Hamilton Anxiety Rating Scale, Patient Health Questionnaire-9, and Hamilton Depression Rating Scale-24 were evaluated after treatment.RESULTS: Ninety-eight patients (97.0%) completed the study. The overall successful cough resolution rate was 62.4% (63/101). Cough resolution was accompanied by an obvious decrease in the CSS and HARQ score and a remarkable increase in cough thresholds to capsaicin challenge and LCQ score, whereas anxiety and depression scores did not change significantly. The prevalence of adverse effects (e.g., insomnia and dizziness) was 21.8%. The prevalence of cough recurrence within 2 weeks after treatment cessation was 17.8%.CONCLUSION: Flupentixol/melitracen may be an efficacious option for CRC unresponsive to other neuromodulators.
Collapse
Affiliation(s)
- Q Chen
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - M Zhang
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - F Si
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - S Wang
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - X Xu
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - L Yu
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - K Lai
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Z Qiu
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| |
Collapse
|
13
|
Jia Y, Sha YL, Qiu Z, Guo YH, Tan AX, Huang Y, Zhong Y, Dong YJ, Ye HX. P–313 Endometrial receptivity analysis for personalized embryo transfer in patients with recurrent implantation failure: a retrospective analysis of a Chinese cohort. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
To quantify the effectiveness of endometrial receptivity analysis (ERA)-guided personalized embryo transfer (pET) in Chinese women.
Summary answer
ERA-guided pET may remarkably improve pregnancy and implantation rates among Chinese women with Recurrent implantation failure (RIF).
What is known already
RIF is a major cause of infertility, and endometrial receptivity is widely accepted to impact implantation failure. Precision prediction of the WOI, the time when the endometrium is most receptive to the implantation of the embryo, is, therefore, of great significance to improve implantation prospects. Previous studies have shown the effectiveness of ERA for the prediction of the WOI, and how pET, timed by ERA, improves implantation and pregnancy rates; however, the efficacy of ERA-guided pET remains unknown for Chinese women.
Study design, size, duration
Patients in Chengdu Xi’nan Gynecology Hospital (Chengdu, China) who were undergoing frozen embryo transfer (FET) at the blastocyst stage on day five or day six during the period from November 2019 through September 2020 were recruited for this study. A total of 145 eligible patients were included in the study and assigned to the ERA group (n = 67) or the control group (n = 78). Clinical pregnancy outcomes were compared between the two groups.
Participants/materials, setting, methods
Endometrial specimens were collected the from ERA group. Total RNA was extracted from endometrial specimens, the transcriptomic sequencing data were processed using RNA-Seq and the endometrial receptivity status was assessed by the ERA predictor. The endometrium was classified as receptive or non-receptive according to the ERA assessment, and pET was done at the time determined by ERA in the ERA group. Subjects in the control group did not receive ERA and underwent blastocyst transfer normally.
Main results and the role of chance
The demographic and clinical characteristics were comparable between the ERA and control groups (P > 0.05). The ERA test identified 10.45% of samples as receptive and 89.55% of samples as non-receptive in the ERA group, with 70.15% of samples presenting a pre-receptive profile. We observed higher cumulative pregnancy (74.63% vs. 64.10%) and cumulative implantation rate (47.32% vs. 21.68%) rates, and a lower biochemical pregnancy rate (18.00% vs. 34.00%) in the ERA group when compared to the control group (P < 0.05). Additionally, we found higher pregnancy (67.16% vs. 39.74%) and implantation (46.54% vs. 16.94%) rates as well as a lower biochemical pregnancy rate (17.78% vs. 45.16%) after the first ERA test in the ERA group when compared to the control group (P < 0.01).
Limitations, reasons for caution
First, this is a retrospective analysis, which is relatively more biased than prospective clinical trials. Second, the study sample is considerably small. Third, only 10.45% of the subjects were identified as presenting a receptive profile, which limits the comparisons of clinical outcomes between patients with receptive and non-receptive endometria.
Wider implications of the findings: This study demonstrates that the ERA test helps to determine the optimal timing for embryo transfer, improve pregnancy and implantation rates in patients with RIF, and guides the clinical application of the ERA test.
Trial registration number
approval No. 2020–018
Collapse
Affiliation(s)
- Y Jia
- Chengdu Xi’nan Gynecology Hospital, Department of Reproductive Immunology, Chengdu, China
| | - Y L Sha
- Chengdu Jinxin Research Institute of Reproductive Medicine and Genetics, Chengdu Jinxin Research Institute of Reproductive Medicine and Genetics, Chengdu, China
| | - Z Qiu
- Chengdu Xi’nan Gynecology Hospital, Department of Reproductive Immunology, Chengdu, China
| | - Y H Guo
- Chengdu Xi’nan Gynecology Hospital, Department of Reproductive Immunology, Chengdu, China
| | - A X Tan
- Chengdu Xi’nan Gynecology Hospital, Department of Reproductive Immunology, Chengdu, China
| | - Y Huang
- Chengdu Xi’nan Gynecology Hospital, Department of Reproductive Immunology, Chengdu, China
| | - Y Zhong
- Chengdu Xi’nan Gynecology Hospital, Department of Reproductive Immunology, Chengdu, China
| | - Y J Dong
- Chengdu Xi’nan Gynecology Hospital, Department of Reproductive Immunology, Chengdu, China
| | - H X Ye
- Chengdu Xi’nan Gynecology Hospital, Department of Reproductive Immunology, Chengdu, China
| |
Collapse
|
14
|
Dong Y, Jia Y, Sha Y, Diao L, Cai S, Qiu Z, Guo Y, Tan A, Huang Y, Zhong Y, Ye H, Liu S. P–371 Clinical value assessment between endometrial receptivity array and immune profiling in patients with implantation failure. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study question
To evaluate whether the pregnancy outcomes could be improved in implantation failure patients by endometrial receptivity array, endometrial immune profiling, or a combination of both.
Summary answer
There was no statistical difference between different endometrial receptivity evaluation and treatment in improving the clinical pregnancy rate.
What is known already
Both endometrial receptivity array and endometrial immune profiling were promised to improve the endometrial receptivity and subsequent clinical pregnancy. However, less is known about the efficiency between each other and whether the combination could further enhance their clinical value.
Study design, size, duration
Between November 2019 and September 2020, 143 women with a history of at least two or more consecutive implantation failure in IVF/ICSI treatment in Chengdu Xinan Gynecology Hospital were included. They were divided into three groups: ‘ERA + Immune Profiling’ (n = 70), ‘Immune Profiling’ (n = 41), and ‘ERA’ (n = 32).
Participants/materials, setting, methods
Inclusion criteria were age ≤ 38, with normal uterus and uterine cavity. All patients were suggested to evaluate endometrial receptivity by ERA test (Igenomix, Valencia, Spain) and endometrial immune profiling based on immunohistochemistry simultaneously, who would be free to choose each or both evaluation approaches. Personal Embryo Transfer and/or personal medical care were adopted according to evaluation results. Clinical pregnancy was confirmed by gestational sacs observed under ultrasonography.
Main results and the role of chance
The overall prevalence of displaced window of implantation (WOI) is 84.3%, and nearly 74.8% (83/111) patients were diagnosed as endometrial immune dysregulation. Clinical Pregnancy rate and embryonic implantation rate decreased in the ‘Immune Test’ groups, but without a statistical difference (P = 0.311, and 0.158, respectively). Multivariable logistic regression analysis showed that different endometrial receptivity evaluation and treatment was not associated the clinical pregnancy rate, suggesting the performance of different endometrial receptivity evaluation and treatment is similar in improving the clinical pregnancy rate. Neither the immune profiling (CD56, P = 0.591; FOXP3, P = 0.195; CD68, P = 0.820; CD163, P = 0.926; CD1a, P = 0.561; CD57, P = 0.221; CD8, P = 0.427; CD138 CE, P = 0.372) nor histologic endometrial dating defined by Noyes criteria (P = 0.374) were associated with ERA phases.
Limitations, reasons for caution
Although the selection of evaluation approaches was based on patients’ willingness, the variances of baseline characteristics and immune profiling existed in different groups. The immunological treatment efficacy based on immune profiling was not evaluated before embryo transfer.
Wider implications of the findings: To our knowledge, this is the first study comparing the pregnancy outcomes after two typical endometrial receptivity evaluation approaches. The findings highlight the unsubstitutability for each assessment, indicating that both asynchronous and pathological WOI contribute to implantation failure.
Trial registration number
X2019004
Collapse
Affiliation(s)
- Y Dong
- Chengdu Xi’nan Gynecology Hospital, The Department of Reproductive Immunology, Chengdu, China
| | - Y Jia
- Chengdu Xi’nan Gynecology Hospital, The Department of Reproductive Immunology, Chengdu, China
| | - Y Sha
- Chengdu Xi’nan Gynecology Hospital, The Department of Reproductive Immunology, Chengdu, China
| | - L Diao
- Shenzhen Zhongshan Institute for Reproduction and Genetics- Shenzhen Zhongshan Urology Hospital, Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzheng, China
| | - S Cai
- Shenzhen Zhongshan Institute for Reproduction and Genetics- Shenzhen Zhongshan Urology Hospital, Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzheng, China
| | - Z Qiu
- Chengdu Xi’nan Gynecology Hospital, The Department of Reproductive Immunology, Chengdu, China
| | - Y Guo
- Chengdu Xi’nan Gynecology Hospital, The Department of Reproductive Immunology, Chengdu, China
| | - A Tan
- Chengdu Xi’nan Gynecology Hospital, The Department of Reproductive Immunology, Chengdu, China
| | - Y Huang
- Chengdu Xi’nan Gynecology Hospital, The Department of Reproductive Immunology, Chengdu, China
| | - Y Zhong
- Chengdu Xi’nan Gynecology Hospital, The Department of Andrology, Chengdu, China
| | - H Ye
- Chengdu Xi’nan Gynecology Hospital, The Department of Reproductive Immunology, Chengdu, China
| | - S Liu
- Shenzhen Zhongshan Institute for Reproduction and Genetics- Shenzhen Zhongshan Urology Hospital, Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Shenzheng, China
| |
Collapse
|
15
|
Marenghi C, Qiu Z, Nicolai N, Helleman J, Nieboer D, Rubio-Briones J, Carroll P, Cowan J, Lee L, Boutros P, Valdagni R. Adverse pathological findings in deferred radical prostatectomy in men under active surveillance for very low and low risk prostate cancers: Results from GAP3 active surveillance cohorts. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01419-6] [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: 11/27/2022]
|
16
|
Guo NF, Qiu Z, Chen XL, Chen X, Huang JB, Liu J. Prostaglandin E2 receptor subtypes 1 and 2 play a role in TGF-β1-induced renal fibrosis by regulating endoplasmic reticulum stress. Eur Rev Med Pharmacol Sci 2021; 24:4954-4962. [PMID: 32432758 DOI: 10.26355/eurrev_202005_21186] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE This study aimed to investigate the effects of prostaglandin E2 receptor subtypes 1 (EP1) and 2 (EP2) on endoplasmic reticulum (ER) stress induced by TGF-β1 in mouse mesangial cells (MCs) and to explore its potential mechanisms. MATERIALS AND METHODS Mouse mesangial cells were isolated and cultured. EP-siRNAs were transfected into mesangial cells for silencing EP1 and EP2. Mesangial cell proliferation was assessed by the CCK-8 method. Expression of PGE2 was measured by enzyme-linked immunosorbent assay (ELISA). GRP78, TRPC1, ERK1/2, and phospho-ERK1/2 levels were examined by Western blot. RESULTS TGF-β1 induced mesangial cell proliferation and increased PGE2 secretion. Besides, TGF-β1 significantly upregulated GRP78 and TRPC1 expression at the protein level. Phospho-ERK1/2 protein amounts were also increased (p<0.05). Compared with the TGF-β1 group, cell proliferation in the EP1-siRNA+TGF-β1 group was reduced, while GRP78, TRPC1, and ERK1/2 protein amounts were downregulated (p<0.05). EP1 agonist significantly enhanced above changes and their activities (p<0.05). EP1 antagonist significantly attenuated the above changes (p<0.05). Compared with TGF-β1 group, cell proliferation in EP2-siRNA+TGF-β1 group was increased, while GRP78, TRPC1, and ERK1/2 protein amounts were increased (p<0.05). EP2 agonist significantly attenuated the above changes (p<0.05). CONCLUSIONS EP1 receptor may increase TGF-β1-induced cell damage by increasing the activities of GRP78, TRPC1, and ERK1/2 via ER stress. Meanwhile, the EP2 receptor may reduce TGF-β1-induced cell damage by suppressing GRP78, TRPC1, and ERK1/2 activities, also via ER stress. EP1 inhibition and EP2 stimulation may be a therapeutic option for delaying renal fibrosis.
Collapse
Affiliation(s)
- N-F Guo
- Department of Nephrology, The Affiliated Hospital of Nantong University, Nantong, China.
| | | | | | | | | | | |
Collapse
|
17
|
Qiu Z, Zhang C, Wang H, Fu R, Cai F, Chu X, Liu S, Su J, Wu Y, Zhong W. MA02.08 Computed Tomography Attenuation Value as Considerable Predictor for Malignancy in Clinical T1 Lung Adenocarcinoma. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.211] [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: 10/21/2022]
|
18
|
Qiu Z, Zhang J, Chen S, Liu Y, Wu Q, Yang H, Gao M, Li L. Preparation of Extracellular and Intracellular Water-Insoluble Monascus Pigments during Submerged Fermentaion. APPL BIOCHEM MICRO+ 2020. [DOI: 10.1134/s0003683820060149] [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: 11/22/2022]
|
19
|
Qiu Z, Zhang C, Yang X, Tang W, Fu R, Hong H, Yang X, Nie Q, Wu YL, Zhong WZ. 360P Number of lymph nodes examined was not an independent risk factor for the survival of patients with stage IA1-2 lung adenocarcinoma undergoing sublobar resection. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
|
20
|
Fan QY, Qiu Z, Zhang XD. Influences of urinary kallidinogenase on neuronal apoptosis in cerebral infarction rats through Nrf2/ARE oxidative stress pathway. Eur Rev Med Pharmacol Sci 2020; 23:6665-6671. [PMID: 31378909 DOI: 10.26355/eurrev_201908_18557] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To investigate the influences of urinary kallidinogenase on neuronal apoptosis in rats with cerebral infarction through the nuclear factor erythroid 2-related factor 2 (Nrf2)/antioxidant response element (ARE) oxidative stress pathway. MATERIALS AND METHODS A total of 30 male rats were divided into group A (model control group), group B (rat model of cerebral infarction) and group C (rat model of cerebral infarction + medical treatment with urinary kallidinogenase). The percentage of cerebral infarct volume and the apoptosis of brain cells in the three groups of rats were detected via 2,3,5-Triphenyltetrazolium chloride (TTC) staining, the pathological morphology of brain tissues in the three groups of rats was observed via hematoxylin and eosin (HE) staining, and the protein levels of Nrf2 and superoxide dismutase 1 (SOD1) in the brain tissues in the three groups of rats were measured using the Western blotting assay. RESULTS The degree of neurological deficit in group B was remarkably higher than that in group A (p<0.05), and it was markedly decreased in group C compared to that in group B, displaying statistically significant differences (p<0.05). Compared to that in group A, the cell apoptosis was significantly aggravated in group B, while a remarkably alleviated cell apoptosis was observed in group C compared to that of group B, and the differences were statistically significant (p<0.05). The cerebral infarct volume accounted for 34.87% of the whole brain volume in group B, and a mild cerebral infarction was detected in group C, with a percentage of cerebral infarct volume of 21.14%. Group B showed a more evident increase in the cerebral infarct volume than in group C (p<0.05). Compared to those of group A, pyknotic nuclei and neuron staining of brain tissue cells were evidently increased, and the neuronal cell injury was aggravated in group B. Moreover, prominently decreased pyknotic nuclei and neuron staining (p<0.05) as well as mild neuronal cell injury (p<0.05) were detected in group C compared to those in group B. The levels of Nrf2 and SOD1 protein in the brain tissues in group B were remarkably lower than those of group C (p<0.05). CONCLUSIONS Urinary kallidinogenase can inhibit the neuronal apoptosis in rats and protect the rats from cerebral infarction, whose mechanism is associated with the activation of the Nrf2/ARE oxidative stress pathway.
Collapse
Affiliation(s)
- Q-Y Fan
- Department of Neurology, The First People's Hospital of Jiande, Jiande, China.
| | | | | |
Collapse
|
21
|
Qiu Z, Pan XX, You DY. LncRNA DSCAM-AS1 promotes non-small cell lung cancer progression via regulating miR-577/HMGB1 axis. Neoplasma 2020; 67:871-879. [PMID: 32386483 DOI: 10.4149/neo_2020_190826n821] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 11/13/2019] [Indexed: 11/08/2022]
Abstract
Non-small cell lung cancer (NSCLC) is a major source of cancer mortality. Long non-coding RNA DSCAM-AS1 has been certified to be involved in the pathogenesis of NSCLC. This study aimed to further investigate the potential mechanism of DSCAM-AS1 in NSCLC progression. The expressions of DSCAM-AS1, miR-577, and high mobility group box 1 (HMGB1) were detected by quantitative real-time polymerase chain reaction (qRT-PCR) or western blot assay. Cell viability was assessed by Cell Counting Kit-8 (CCK-8) assay. Flow cytometry assay was conducted to monitor cell apoptosis. Cell migration and invasion were measured by transwell assay. Wnt/β-catenin pathway-related factors were detected by western blot assay. The relationship between DSCAM-AS1, miR-577, and HMGB1 was validated by bioinformatics analysis and dual-luciferase reporter assay. The xenograft mouse model was established to analyze tumor growth in vivo. DSCAM-AS1 and HMGB1 were upregulated, while miR-577 was downregulated in NSCLC tissues and cells. DSCAM-AS1 promoted cell proliferation, migration and invasion, and restrained cell apoptosis in NSCLC cells. Overexpression of HMGB1 reversed the effects of DSCAM-AS1 depletion on the progression of NSCLC. DSCAM-AS1 modulated HMGB1 expression by sponging miR-577. DSCAM-AS1 regulated the Wnt/β-catenin pathway by regulating miR-577 and HMGB1. DSCAM-AS1 knockdown blocked the tumor growth in vivo. In conclusion, DSCAM-AS1 facilitated NSCLC progression by regulating the HMGB1-mediated Wnt/β-catenin pathway, providing a promising therapeutic target for NSCLC.
Collapse
Affiliation(s)
- Z Qiu
- Department of Oncology, Thoracic, Head and Neck Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China
| | - X X Pan
- Department of Oncology, Thoracic, Head and Neck Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China
| | - D Y You
- Department of Oncology, Thoracic, Head and Neck Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China
| |
Collapse
|
22
|
Zhang XD, Fan QY, Qiu Z, Chen S. MiR-7 alleviates secondary inflammatory response of microglia caused by cerebral hemorrhage through inhibiting TLR4 expression. Eur Rev Med Pharmacol Sci 2019; 22:5597-5604. [PMID: 30229834 DOI: 10.26355/eurrev_201809_15824] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE This study was conducted to analyze the effect of miR-7 on the inflammatory response of microglia in vitro and in vivo by constructing an intracerebral hemorrhage model. PATIENTS AND METHODS In this study, we first established a model of cerebral hemorrhage in rat for in vivo experiments, and used lipoprotein (LPS) to induce an inflammatory response development in microglial cells, and constructed microglial inflammation models for in vitro experiments. Quantitative Real-time-polymerase chain reaction (qRT-PCR) was used to detect the expression of miR-7 in the rat model of cerebral hemorrhage and microglia with inflammation. The effect of miR-7 on the inflammation caused by intracerebral hemorrhage was evaluated through measuring the expression of IL-1β, IL-8 and TNF-α by enzyme-linked immunosorbent assay (ELISA). Dual luciferase reporter assay was used to detect the binding site of miR-7 to TLR4. Western blot was used to evaluate the level of TLR4 after overexpression and knockdown of miR-7 and to evaluate whether miR-7 alleviated the secondary inflammatory response of microglia after cerebral hemorrhage by inhibiting the expression of TLR4. RESULTS The expression of miR-7 in the rat cerebral hemorrhage model and microglial inflammation model tissue was significantly lower than that in the normal control group. Expression of inflammatory cytokines including IL-1β, IL-8 and TNF-α was significantly increased in rats with intracerebral hemorrhage and microglial inflammation in rats, and the expression of these inflammatory cytokines was partially reversed after overexpression of miR-7. Double luciferase reporter gene and ELISA results showed that miR-7 could inhibit the expression of TLR4 and relieve the secondary inflammatory response of microglia after cerebral hemorrhage. CONCLUSIONS We demonstrated that, in in vivo and in vitro experiments, miR-7 could reduce the LPS-induced inflammatory response produced by microglial cells, and alleviate the inflammation in the brain of rats with cerebral hemorrhage.
Collapse
Affiliation(s)
- X-D Zhang
- Department of Cerebral Surgery, The First People's Hospital of Jiande, Jiande, China.
| | | | | | | |
Collapse
|
23
|
Guo X, Wang X, Li S, Lu Y, Xie T, Qiu Z, Wu D. LncRNA-GC1 contributes to gastric cancer chemo-resistance through inhibition of miR-551b-3p and the overexpression of dysbindin. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz238.026] [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: 11/13/2022] Open
|
24
|
Qiu Z, Zhou H, Sun W. Association between socioeconomic factors and one-month mortality after cancer-directed surgery in solid tumours. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz263.015] [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
|
25
|
Lu Y, Wang X, Xie T, Li S, Qiu Z, Guo X, Wu D. Prognostic factors analysis of 343 patients with adenocarcinoma of esophagogastric junction. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz247.098] [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: 11/13/2022] Open
|
26
|
Wang X, Xie T, Guo X, Li S, Lu Y, Qiu Z, Wu D. Effects of preoperative preparation time on efficacy of neoadjuvant chemotherapy (SOX) in patients with advanced gastric cancer. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz247.099] [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: 11/13/2022] Open
|
27
|
Yan P, Qiu Z, Zhang T, Li Y, Wang W, Li M, Yu Z, Liu J. Microbial diversity in the tick Argas japonicus (Acari: Argasidae) with a focus on Rickettsia pathogens. Med Vet Entomol 2019; 33:327-335. [PMID: 30839128 DOI: 10.1111/mve.12373] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [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: 10/24/2018] [Revised: 01/18/2019] [Accepted: 02/12/2019] [Indexed: 05/17/2023]
Abstract
The soft tick Argas japonicus mainly infests birds and can cause human dermatitis; however, no pathogen has been identified from this tick species in China. In the present study, the microbiota in A. japonicus collected from an epidemic community was explored, and some putative Rickettsia pathogens were further characterized. The results obtained indicated that bacteria in A. japonicus were mainly ascribed to the phyla Proteobacteria, Firmicutes and Actinobacteria. At the genus level, the male A. japonicus harboured more diverse bacteria than the females and nymphs. The bacteria Alcaligenes, Pseudomonas, Rickettsia and Staphylococcus were common in nymphs and adults. The abundance of bacteria belonging to the Rickettsia genus in females and males was 7.27% and 10.42%, respectively. Furthermore, the 16S rRNA gene of Rickettsia was amplified and sequenced, and phylogenetic analysis revealed that 13 sequences were clustered with the spotted fever group rickettsiae (Rickettsia heilongjiangensis and Rickettsia japonica) and three were clustered with Rickettsia limoniae, which suggested that the characterized Rickettsia in A. japonicus were novel putative pathogens and also that the residents were at considerable risk for infection by tick-borne pathogens.
Collapse
Affiliation(s)
- P Yan
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Z Qiu
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - T Zhang
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Y Li
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - W Wang
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - M Li
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Z Yu
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - J Liu
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| |
Collapse
|
28
|
Sun Q, Qiu Z, Wang Y, Wang M, Wang L, Wu Y, Qiao C, Zhu H, Wu W, Wu J, Xia Y, Miao Y, Cao L, Xu W, Fan L, Li J. AGGRESSIVE NK CELL LEUKEMIA: CLONALITY, CLINICAL AND GENETIC FEATURES. Hematol Oncol 2019. [DOI: 10.1002/hon.154_2631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Q. Sun
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - Z. Qiu
- Department of Oncology; the Affiliated People's Hospital of Jiangsu University; Zhenjiang China
| | - Y. Wang
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - M. Wang
- Department of Hematology; Nanjing First Hospital; Nanjing China
| | - L. Wang
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - Y. Wu
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - C. Qiao
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - H. Zhu
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - W. Wu
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - J. Wu
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - Y. Xia
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - Y. Miao
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - L. Cao
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - W. Xu
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - L. Fan
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| | - J. Li
- Department of Hematology; the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital; Nanjing China
| |
Collapse
|
29
|
Xu L, Xue B, Zhou L, Qiu Z, Zhang X, Xu N, Tang Q, Zhu J, Guan X, Feng Z. NP30 stimulates Th17 differentiation through DC in Schistosomiasis Japonicum. Parasite Immunol 2019; 40:e12528. [PMID: 29577333 PMCID: PMC5947655 DOI: 10.1111/pim.12528] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Accepted: 03/16/2018] [Indexed: 01/05/2023]
Abstract
The murine monoclonal anti‐idiotypic antibody, NP30, is a potential vaccine candidate against Schistosoma japonicum. Previous studies have revealed that NP30 has an immunoregulatory effect, but the underlying mechanism for this effect remains unknown. This study shows that NP30 induces dendritic cell (DC) maturation and increases the production of pro‐inflammatory cytokines. The expression of CD86 and MHC II was upregulated in DCs following stimulation with NP30 in vitro. Moreover, NP30 induced Th17 polarization by increasing the production of IL‐6 and TGF‐β. In vivo, Th17 differentiation was induced by the production of key pro‐inflammatory cytokines, including IL‐6and TGF‐β, from DCs of NP30‐immunized mice. These results indicate that NP30 promotes Th17 polarization through DC activation, preventing serious schistosomiasis.
Collapse
Affiliation(s)
- L Xu
- Department of Pathology, Nanjing Medical University, Nanjing, China.,The Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, China
| | - B Xue
- Department of Pathology, Nanjing Medical University, Nanjing, China
| | - L Zhou
- Department of Pathology, Northwestern University, Evanston, IL, USA
| | - Z Qiu
- The Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, China
| | - X Zhang
- The Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, China
| | - N Xu
- Department of Pathology, Nanjing Medical University, Nanjing, China.,The Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, China
| | - Q Tang
- The Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, China
| | - J Zhu
- Department of Pathology, Nanjing Medical University, Nanjing, China.,Huadong Medical Institute of Biotechniques, Nanjing, China
| | - X Guan
- The Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, China
| | - Z Feng
- Department of Pathology, Nanjing Medical University, Nanjing, China.,The Key Laboratory of Antibody Technique of Ministry of Health, Nanjing Medical University, Nanjing, China
| |
Collapse
|
30
|
Harrison PG, Patel NM, Pérez JF, Qiu Z. Managing Response Time Tails by Sharding. ACM Trans Model Perform Eval Comput Syst 2019. [DOI: 10.1145/3300143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Matrix analytic methods are developed to compute the probability distribution of response times (i.e., data access times) in distributed storage systems protected by erasure coding, which is implemented by sharding a data object into
N
fragments, only
K
<;
N
of which are required to reconstruct the object. This leads to a partial-fork-join model with a choice of canceling policies for the redundant
N
−
K
tasks. The accuracy of the analytical model is supported by tests against simulation in a broad range of setups. At increasing workload intensities, numerical results show the extent to which increasing the redundancy level reduces the mean response time of storage reads and significantly flattens the tail of their distribution; this is demonstrated at medium-high quantiles, up to the 99th. The quantitative reduction in response time achieved by two policies for canceling redundant tasks is also shown: for cancel-at-finish and cancel-at-start, which limits the additional load introduced whilst losing the benefit of selectivity amongst fragment service times.
Collapse
Affiliation(s)
| | | | | | - Z. Qiu
- Imperial College London, London, United Kingdom
| |
Collapse
|
31
|
Zhu J, Xian Q, Kala S, Guo J, Qiu Z, Sun L. Engineering mechanosensitive neural networks in the brain. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
|
32
|
Feng F, Cheng Q, Zhang D, Li B, Qin H, Xu C, Han M, Yu Y, Li Z, Li JY, Qiu Z, Xiong L, Liu C, Li F, Yi B, Jiang X. Targeted therapy based on the genetic alterations prolongs the progression-free survival of patients with advanced biliary tract cancer. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy282.137] [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
|
33
|
Abstract
We demonstrate theoretically that a toroidal Alfvén eigenmode (TAE) can parametrically decay into a geodesic acoustic mode and kinetic TAE in a toroidal plasma. The corresponding threshold condition for the TAE amplitude is estimated to be |δB_{⊥}/B_{0}|∼O(10^{-4}). Here, δB_{⊥} and B_{0} are, respectively, the perturbed magnetic field of the pump TAE and the equilibrium magnetic field. This novel decay process, in addition to contributing to the nonlinear saturation of energetic-particle or α-particle driven TAE instability, could also contribute to the heating as well as regulating the transports of thermal plasmas.
Collapse
Affiliation(s)
- Z Qiu
- Institute for Fusion Theory and Simulation and Department of Physics, Zhejiang University, Hangzhou, People's Republic of China
| | - L Chen
- Institute for Fusion Theory and Simulation and Department of Physics, Zhejiang University, Hangzhou, People's Republic of China
- Department of Physics and Astronomy, University of California, Irvine California 92697-4575, USA
| | - F Zonca
- Institute for Fusion Theory and Simulation and Department of Physics, Zhejiang University, Hangzhou, People's Republic of China
- ENEA, Fusion and Nuclear Safety Department, C.R. Frascati, Via E. Fermi 45, 00044 Frascati (Roma), Italy
| | - W Chen
- Southwestern Institute of Physics, P.O. Box 432 Chengdu 610041, People's Republic of China
| |
Collapse
|
34
|
Qiu Z, Chu Q, Zhang W, Luo C, Quan S. Level of neutral alpha-1,4-glucosidase in seminal plasma of Chinese men. Andrologia 2017; 50. [PMID: 29282757 DOI: 10.1111/and.12948] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/01/2017] [Indexed: 11/29/2022] Open
Affiliation(s)
- Z. Qiu
- Department of Obstetrics and Gynecology; Center for Reproductive Medicine; Nanfang Hospital; Southern Medical University; Guangzhou China
| | - Q. Chu
- Department of Obstetrics and Gynecology; Center for Reproductive Medicine; Nanfang Hospital; Southern Medical University; Guangzhou China
| | - W. Zhang
- Department of Obstetrics and Gynecology; Center for Reproductive Medicine; Nanfang Hospital; Southern Medical University; Guangzhou China
| | - C. Luo
- Department of Obstetrics and Gynecology; Center for Reproductive Medicine; Nanfang Hospital; Southern Medical University; Guangzhou China
| | - S. Quan
- Department of Obstetrics and Gynecology; Center for Reproductive Medicine; Nanfang Hospital; Southern Medical University; Guangzhou China
| |
Collapse
|
35
|
Li J, Qiu Z. P3.14-016 Research About Different Administration Mode of Endostar for Combining with Concurrent Chemoradiotherapy in Local Advanced NSCLC. J Thorac Oncol 2017. [DOI: 10.1016/j.jtho.2017.09.1789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
|
36
|
Lv F, Ma M, Liu W, Xu X, Song Y, Li L, Jiang Y, Wang O, Xia W, Xing X, Qiu Z, Li M. A novel large fragment deletion in PLS3 causes rare X-linked early-onset osteoporosis and response to zoledronic acid. Osteoporos Int 2017. [PMID: 28620780 DOI: 10.1007/s00198-017-4094-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
UNLABELLED We identified a novel large fragment deletion from intron 9 to 3'UTR in PLS3 (E10-E16del) in one Chinese boy with X-linked early-onset osteoporosis and vertebral fractures, which expanded the pathogenic spectrum of X-linked early-onset osteoporosis. Treatment with zoledronic acid was beneficial for increasing BMD and reshaping the vertebral bodies of this patient. INTRODUCTION X-linked early-onset osteoporosis is a rare disease, which is characterized by low bone mineral density (BMD), vertebral compression fractures (VCFs), and/or long bone fractures. We aimed to detect the phenotype and the underlying pathogenic mutation of X-linked early-onset osteoporosis in a boy from a nonconsanguineous Chinese family. METHODS We investigated the pathogenic mutation of the patient with X-linked early-onset osteoporosis by targeted next-generation sequencing and confirmed it by Sanger sequencing. We also observed the effects of zoledronic acid on fracture frequency and BMD of the patient. RESULTS Low BMD and multiple VCFs were the main phenotypes of X-linked early-onset osteoporosis. We identified a total of 12,229 bp deletion in PLS3, involving intron 9 to the 3'UTR (E10-E16 del). This large fragment deletion might be mediated by Alu repeats and microhomology of 26 bp at each breakpoint junction. Zoledronic acid treatment could significantly increase the Z-score of BMD and reshape the compressed vertebral bodies. CONCLUSION We identified a large fragment deletion mutation in PLS3 for the first time and elucidated the possible mechanism of the deletion, which led to X-linked early-onset osteoporosis and multiple vertebral fractures. Our findings would enrich the etiology spectrum of this rare disease.
Collapse
Affiliation(s)
- F Lv
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China
| | - M Ma
- Department of Pediatrics, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China
| | - W Liu
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China
| | - X Xu
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China
| | - Y Song
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China
| | - L Li
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China
| | - Y Jiang
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China
| | - O Wang
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China
| | - W Xia
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China
| | - X Xing
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China
| | - Z Qiu
- Department of Pediatrics, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
| | - M Li
- Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, People's Republic of China.
| |
Collapse
|
37
|
Qiu Z, Cao F, Yang Y, Sun L. Imaging of ultrasound stimulation on zebrafish neural development with light-sheet microscopy. Brain Stimul 2017. [DOI: 10.1016/j.brs.2017.01.309] [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: 11/26/2022] Open
|
38
|
Qiu Z, Yang Y, Guo J, Kala S, Yang L, Chan H, Sun L. Acoustic mechanogenetics: A promising tool for probing brain function. Brain Stimul 2017. [DOI: 10.1016/j.brs.2017.01.260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
|
39
|
Qiu Z, Song L, Wang J, Kala S, Sun L. Sensing ultrasound promotes axon growth during development. Brain Stimul 2017. [DOI: 10.1016/j.brs.2017.01.311] [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: 11/28/2022] Open
|
40
|
Qiu Z, Cao C, Qu Y, Lu Y, Sun M, Zhang Y, Zhong J, Zeng Z. In vivo
activity of cefquinome against Riemerella anatipestifer
using the pericarditis model in the duck. J Vet Pharmacol Ther 2015; 39:299-304. [DOI: 10.1111/jvp.12271] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2015] [Accepted: 09/19/2015] [Indexed: 11/28/2022]
Affiliation(s)
- Z. Qiu
- College of Veterinary Medicine; National Reference Laboratory of Veterinary Drug Residues (SCAU); South China Agricultural University; Guangzhou China
| | - C. Cao
- College of Veterinary Medicine; National Reference Laboratory of Veterinary Drug Residues (SCAU); South China Agricultural University; Guangzhou China
| | - Y. Qu
- College of Veterinary Medicine; National Reference Laboratory of Veterinary Drug Residues (SCAU); South China Agricultural University; Guangzhou China
| | - Y. Lu
- College of Veterinary Medicine; National Reference Laboratory of Veterinary Drug Residues (SCAU); South China Agricultural University; Guangzhou China
| | - M. Sun
- College of Veterinary Medicine; National Reference Laboratory of Veterinary Drug Residues (SCAU); South China Agricultural University; Guangzhou China
| | - Y. Zhang
- College of Veterinary Medicine; National Reference Laboratory of Veterinary Drug Residues (SCAU); South China Agricultural University; Guangzhou China
| | - J. Zhong
- College of Veterinary Medicine; National Reference Laboratory of Veterinary Drug Residues (SCAU); South China Agricultural University; Guangzhou China
| | - Z. Zeng
- College of Veterinary Medicine; National Reference Laboratory of Veterinary Drug Residues (SCAU); South China Agricultural University; Guangzhou China
| |
Collapse
|
41
|
Wang L, Chang S, Guan J, Shangguan S, Lu X, Wang Z, Wu L, Zou J, Zhao H, Bao Y, Qiu Z, Niu B, Zhang T. Tissue-Specific Methylation of Long Interspersed Nucleotide Element-1 of Homo Sapiens (L1Hs) During Human Embryogenesis and Roles in Neural Tube Defects. Curr Mol Med 2015; 15:497-507. [DOI: 10.2174/1566524015666150630130229] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2014] [Revised: 06/10/2015] [Accepted: 06/26/2015] [Indexed: 11/22/2022]
|
42
|
Abstract
A 184 kb gap in an ovine MHC physical map was successfully closed by identification of two overlapping clones (304C7 and 222G18) from a Chinese fine wool merino sheep BAC library. The location and tiling path of the two clones were confirmed by BAC-end sequencing and PCR amplification of loci in overlapping regions. Full-length sequencing of the clones identified 13 novel ovine genes in the gap between loci Notch4 and Btnl2, and eight of them belonging to the Butyrophilin-like (Btn-like or Btnl) gene family. The scattered distribution of the Btnl gene cluster at the gap provided a clue to explain the difficulties previously experienced in closing the gap. Completed BAC contigs of the ovine MHC will facilitate sequencing of the entire ovine leukocyte antigen (OLA) region, providing detailed information for comparative studies of MHC evolution.
Collapse
Affiliation(s)
- K Liu
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.Graduate School of the Chinese Academy of Sciences, Beijing 100149, China.College of Life Sciences, Shihezi University, Xinjiang 832000, China
| | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Uchida K, Adachi H, Kikuchi D, Ito S, Qiu Z, Maekawa S, Saitoh E. Generation of spin currents by surface plasmon resonance. Nat Commun 2015; 6:5910. [PMID: 25569821 PMCID: PMC4354158 DOI: 10.1038/ncomms6910] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2014] [Accepted: 11/20/2014] [Indexed: 11/17/2022] Open
Abstract
Surface plasmons, free-electron collective oscillations in metallic nanostructures, provide abundant routes to manipulate light–electron interactions that can localize light energy and alter electromagnetic field distributions at subwavelength scales. The research field of plasmonics thus integrates nano-photonics with electronics. In contrast, electronics is also entering a new era of spintronics, where spin currents play a central role in driving devices. However, plasmonics and spin-current physics have so far been developed independently. Here we report the generation of spin currents by surface plasmon resonance. Using Au nanoparticles embedded in Pt/BiY2Fe5O12 bilayer films, we show that, when the Au nanoparticles fulfill the surface-plasmon-resonance conditions, spin currents are generated across the Pt/BiY2Fe5O12 interface. This spin-current generation cannot be explained by conventional heating effects, requiring us to introduce nonequilibrium magnons excited by surface-plasmon-induced evanescent electromagnetic fields in BiY2Fe5O12. This plasmonic spin pumping integrates surface plasmons with spin-current physics, opening the door to plasmonic spintronics. Optical methods allow for the excitation of diverse magnetic phenomena in nanostructured materials. Here, Uchida et al. demonstrate how pure spin current may be generated across a Pt/BiY2Fe5O12 thin film interface by optically exciting surface plasmon resonance in embedded gold nanoparticles.
Collapse
Affiliation(s)
- K Uchida
- 1] Institute for Materials Research, Tohoku University, Sendai 980-8577, Japan [2] PRESTO, Japan Science and Technology Agency, Saitama 332-0012, Japan
| | - H Adachi
- 1] Advanced Science Research Center, Japan Atomic Energy Agency, Tokai 319-1195, Japan [2] CREST, Japan Science and Technology Agency, Tokyo 102-0075, Japan
| | - D Kikuchi
- 1] Institute for Materials Research, Tohoku University, Sendai 980-8577, Japan [2] WPI Advanced Institute for Materials Research, Tohoku University, Sendai 980-8577, Japan
| | - S Ito
- Institute for Materials Research, Tohoku University, Sendai 980-8577, Japan
| | - Z Qiu
- WPI Advanced Institute for Materials Research, Tohoku University, Sendai 980-8577, Japan
| | - S Maekawa
- 1] Advanced Science Research Center, Japan Atomic Energy Agency, Tokai 319-1195, Japan [2] CREST, Japan Science and Technology Agency, Tokyo 102-0075, Japan
| | - E Saitoh
- 1] Institute for Materials Research, Tohoku University, Sendai 980-8577, Japan [2] Advanced Science Research Center, Japan Atomic Energy Agency, Tokai 319-1195, Japan [3] CREST, Japan Science and Technology Agency, Tokyo 102-0075, Japan [4] WPI Advanced Institute for Materials Research, Tohoku University, Sendai 980-8577, Japan
| |
Collapse
|
44
|
Abstract
Self-discharge of oxidized polypyrrole is composed of two parallel self-discharge mechanisms and their relative contributions depend on pH and potential.
Collapse
Affiliation(s)
- H. Olsson
- Nanotechnology and Functional Materials
- The Ångström Laboratory
- Uppsala University
- 751 21 Uppsala
- Sweden
| | - Z. Qiu
- Nanotechnology and Functional Materials
- The Ångström Laboratory
- Uppsala University
- 751 21 Uppsala
- Sweden
| | - M. Strømme
- Nanotechnology and Functional Materials
- The Ångström Laboratory
- Uppsala University
- 751 21 Uppsala
- Sweden
| | - M. Sjödin
- Nanotechnology and Functional Materials
- The Ångström Laboratory
- Uppsala University
- 751 21 Uppsala
- Sweden
| |
Collapse
|
45
|
Xu Y, Qiu Z, Xu Y, Bao H, Gao S, Cheng X. The role of fQRS in coronary artery disease. A meta-analysis of observational studies. Herz 2014; 40 Suppl 1:8-15. [PMID: 25336240 DOI: 10.1007/s00059-014-4155-5] [Citation(s) in RCA: 8] [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] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Revised: 09/05/2014] [Accepted: 09/09/2014] [Indexed: 12/25/2022]
Abstract
BACKGROUND Experimental and clinical studies have suggested that the presence of fragmented QRS complex (fQRS) is associated with various cardiovascular diseases. fQRS may predict major adverse cardiovascular events (MACE). The current meta-analysis was performed using clinical outcome studies to evaluate the role of fQRS in coronary artery disease (CAD). METHODS A systematic search of electronic databases (Cochrane, Medline, Embase and Pubmed) from their inception to April 2014 was performed. Data were extracted from applicable articles to evaluate the prognostic value of fQRS in CAD. RESULTS A total of 16 observational studies about fQRS and CAD (n = 3,997 patients) were identified. Compared with the non-fQRS group, MACE and mortality were significantly higher in the fQRS group -odds ratios (OR) 3.19, 95 % confidence interval (95 % CI) [2.3, 4.42], p < 0.00001; OR 2.24, 95 % CI [1.71, 2.94], p < 0.0001. Patients developed Q waves, anterior-wall myocardial infarction (MI), and low left ventricular ejection fraction (LVEF) more frequently in the fQRS group than in the non-fQRS group-OR 2.59, 95 % CI [1.76, 3.81], p < 0.00001; OR 2.43, 95 % CI [1.07, 5.52], p = 0.03; OR - 6.43, 95 % CI [- 9.11, - 3.74], p < 0.00001. CONCLUSION Based on current evidence, fQRS was associated with increased MACE, mortality, Q waves, anterior-wall MI, and decreased LVEF in CAD. These findings show that fQRS is a reliable marker in CAD.
Collapse
Affiliation(s)
- Y Xu
- Department of Cardiology, Institute of Cardiovascular disease, Second Affiliated Hospital of Nanchang University, 1 Minde Road, 330006, Nan Chang, Jiang Xi, China
| | | | | | | | | | | |
Collapse
|
46
|
Qiu Z, Wei L, Liu J, Sochacki KR, Liu X, Bishop C, Ebraheim M, Yang H. Effect of intermittent PTH (1-34) on posterolateral spinal fusion with iliac crest bone graft in an ovariectomized rat model. Osteoporos Int 2013; 24:2693-700. [PMID: 23756875 DOI: 10.1007/s00198-013-2385-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2012] [Accepted: 03/13/2013] [Indexed: 10/26/2022]
Abstract
SUMMARY Intermittent treatment with high-dose parathyroid hormone (PTH) enhances the quantity and quality of the fusion callus and reduces healing time of posterolateral spinal fusion with autologous iliac bone grafts in ovariectomized osteoporotic female Sprague-Dawley rats. Intermittent PTH (1-34) could be an appropriate adjunctive therapy for osteoporotic patients undergoing posterolateral intertransverse process fusion. INTRODUCTION The study was designed to test the hypothesis that intermittent administration of PTH improves spinal fusion rates in a randomized controlled, ovariectomized osteoporotic rat spinal fusion model. METHODS Thirty-six 10-week-old Sprague-Dawley rats were ovariectomized and underwent bilateral posterolateral L4-L5 spinal fusion with autologous iliac bone graft 6 weeks later. The experimental (PTH) group (18 rats) received daily subcutaneously administered injections of PTH (1-34) at 30 μg/kg/day starting on the day of operation. The control group (18 rats) received a subcutaneously administered injection of normal saline of the same volume. Nine rats from each group were sacrificed at 4 and 6 weeks. After sacrifice, the L4-L5 vertebral segments were removed and analyzed by plain radiographs, μ-CT, histomorphometry, and serum bone metabolism marker. RESULTS The PTH group had a significantly higher fusion rate and X-ray fusion score than the control group at 4 and 6 weeks (p < 0.05). μ-CT and histological analysis showed that the fusion bone volume and cortical thickness for the PTH group were significantly higher than those for the control group at 4 and 6 weeks (p < 0.05). Metabolic marker analysis also showed significant difference between the two groups. The serum osteocalcin was significantly higher in the PTH group at 4 and 6 weeks, and levels of N-terminal peptide of type I collagen were significantly higher at 4 weeks (p < 0.05). CONCLUSION Intermittent treatment with high-dose PTH enhances the quantity of the fusion callus and reduces the healing time of posterolateral spinal fusion with autologous iliac bone grafts in ovariectomized osteoporotic female Sprague-Dawley rats.
Collapse
Affiliation(s)
- Z Qiu
- The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, Jiangsu, 215006, China
| | | | | | | | | | | | | | | |
Collapse
|
47
|
Wang X, Song L, Li N, Qiu Z, Zhou S, Li C, Zhao J, Song H, Chen X. Pharmacokinetics and biodistribution study of paclitaxel liposome in Sprague-Dawley rats and Beagle dogs by liquid chromatography-tandem mass spectrometry. Drug Res (Stuttg) 2013; 63:603-6. [PMID: 23842945 DOI: 10.1055/s-0033-1349126] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Lipusu is the first paclitaxel liposome preparation approved in the world and has been widely used in China for the treatment of ovary, breast and non-small cell lung cancer. In present study we evaluated the pharmacokinetic and tissue distribution characteristics of paclitaxel liposome in Sprague-Dawley rats and Beagle dogs. A rapid and simple liquid chromatography-tandem mass spectrometry (LC-MS/MS) assay was developed for the determination of paclitaxel in plasma and tissues. The plasma concentrations of paclitaxel in both rats and dogs initially declined steeply, followed by slow elimination after intravenous administration of Lipusu at 5 mg/kg and 1 mg/kg, respectively. The pharmacokinetic parameters calculated by a non-compartmental method in rats and dogs were as follows: AUC0-24: 3 566.5±1 366.1 and 443.2±165.7 μg · h/L, CL: 1.5±0.5 and 2.1±0.6 L/h/kg, Vd: 20.0±7.8 and 38.4±12.5 L/kg, t1/2: 9.3±2.9 and 14.1±6.9 h, respectively. Biodistribution results in rats showed that except for brain and testis, liposomal paclitaxel was extensively distributed into various tissues, especially highly in liver and spleen.
Collapse
Affiliation(s)
- X Wang
- Center of Drug Metabolism and Pharmacokinetics, China Pharmaceutical University, Nanjing, China
| | | | | | | | | | | | | | | | | |
Collapse
|
48
|
Sheng Y, Qiu Z, He Y, Zhang Y. QUALITY OF LIFE AMONG END-OF-LIFE FORMER COMMERCIAL PLASMA DONORS INFECTED WITH HIV IN RURAL HENAN, CHINA. BMJ Support Palliat Care 2013. [DOI: 10.1136/bmjspcare-2013-000491.159] [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: 11/04/2022]
|
49
|
Zhang G, Wang P, Qiu Z, Qin X, Lin X, Li N, Huang H, Liu H, Hua W, Chen Z, Zhao H, Li W, Shen H. Distant lymph nodes serve as pools of Th1 cells induced by neonatal BCG vaccination for the prevention of asthma in mice. Allergy 2013; 68:330-8. [PMID: 23346957 DOI: 10.1111/all.12099] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/26/2012] [Indexed: 12/24/2022]
Abstract
BACKGROUND Neonatal Bacillus Calmette-Guérin (BCG) vaccination induces vigorous T-helper type 1 (Th1) responses and inhibits allergy-related airway dysfunction, but the exact mechanisms remain unclear. The objective of this study was to address where the Th1 cells induced by neonatal BCG vaccination are generated and stored, and how they are recruited into the inflamed airway for the prevention of allergen-induced airway inflammation. METHODS We vaccinated neonatal C57BL/6 mice with BCG in a mouse model of asthma and analyzed the expression and function of Th1 cells in vivo and in vitro. RESULTS BCG vaccination-induced Th1 cells in the local inguinal lymph nodes (ILN) migrated into the lungs upon inhaled ovalbumin (OVA) challenge in OVA-sensitized mice. These CD4(+) T cells in the ILN exhibited potentials of activation, proliferation and cytokine secretion and expressed high levels of CXCR3. Adoptive transfer of CD4(+) T cells from BCG-treated ILN significantly decreased allergic airway responses. In addition, the protective effect of BCG vaccination against allergic airway inflammation was lost upon the excision of the ILN. CONCLUSIONS These data demonstrate that ILN serves as a 'weapon' pool of Th1 cells following BCG vaccination, and these cells are ready for the migration into the inflamed lungs upon the allergen challenge, thereby inhibiting allergen-induced airway disorder.
Collapse
Affiliation(s)
- G. Zhang
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | - P. Wang
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | - Z. Qiu
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | - X. Qin
- Department of Respiratory Disease; People's Hospital of Guangxi Zhuang Autonomous Region; Nanning; China
| | - X. Lin
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | - N. Li
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | - H. Huang
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | - H. Liu
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | - W. Hua
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | - Z. Chen
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | - H. Zhao
- Pulmonary & Critical Care Unit; Massachusetts General Hospital; Harvard Medical School; Boston; MA; USA
| | - W. Li
- Department of Respiratory and Critical Care Medicine; Second Affiliated Hospital; Zhejiang University School of Medicine; Hangzhou
| | | |
Collapse
|
50
|
Kikkawa T, Uchida K, Shiomi Y, Qiu Z, Hou D, Tian D, Nakayama H, Jin XF, Saitoh E. Longitudinal spin Seebeck effect free from the proximity Nernst effect. Phys Rev Lett 2013; 110:067207. [PMID: 23432302 DOI: 10.1103/physrevlett.110.067207] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2012] [Indexed: 06/01/2023]
Abstract
This Letter provides evidence for intrinsic longitudinal spin Seebeck effects (LSSEs) that are free from the anomalous Nernst effect (ANE) caused by an extrinsic proximity effect. We report the observation of LSSEs in Au/Y(3)Fe(5)O(12) (YIG) and Pt/Cu/YIG systems, showing that the LSSE appears even when the mechanism of the proximity ANE is clearly removed. In the conventional Pt/YIG structure, furthermore, we separate the LSSE from the ANE by comparing the voltages in different magnetization and temperature-gradient configurations; the ANE contamination was found to be negligibly small even in the Pt/YIG structure.
Collapse
Affiliation(s)
- T Kikkawa
- Institute for Materials Research, Tohoku University, Sendai 980-8577, Japan
| | | | | | | | | | | | | | | | | |
Collapse
|