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Tan Y, Yang L, Zhai D, Sun L, Zhai S, Zhou W, Wang X, Deng WQ, Wu H. MXene-Derived Metal-Organic Framework@MXene Heterostructures toward Electrochemical NO Sensing. Small 2022; 18:e2204942. [PMID: 36323622 DOI: 10.1002/smll.202204942] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/14/2022] [Indexed: 06/16/2023]
Abstract
The electrochemical sensing of nitric oxide (NO) molecules by metal-organic framework (MOF) catalysts has been impeded, to a large extent, owing to their poor electrical conductivity and weak NO adsorption. In this work, incomplete in situ conversion of V2 CTx (T = terminal atoms) MXene to MOF is adopted, forming MOF@MXene heterostructures, which outperform MXene and MOF monocomponents toward electrochemical NO sensing. Density functional theory (DFT) calculation results indicate metal-like electronic characters for the heterostructure benefiting from the dominating contribution of the V 3d orbitals of the metallic MXene. Moreover, plane-averaged charge density difference shows substantial charge redistribution occurs at the heterointerfaces, producing a built-in field, which facilitates charge transfer. Besides, molecular mechanics-based simulated annealing calculation reveals greatly enhanced adsorption energies of NO molecules on the heterointerfaces than that on separate MOFs and MXenes. Hence, the facilitated charge transfer and preferential NO adsorption are responsible for the dramatically promoted performance toward NO sensing. The prudent design of MOF@MXene heterostructure may spur advanced electrocatalysts for electrochemical sensing.
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Affiliation(s)
- Yi Tan
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, China
| | - Li Yang
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, China
| | - Dong Zhai
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, China
| | - Lanju Sun
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, China
| | - Shengliang Zhai
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, China
| | - Wei Zhou
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, China
| | - Xiao Wang
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, China
| | - Wei-Qiao Deng
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, China
| | - Hao Wu
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao, Shandong, 266237, China
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Lao W, Zhao Y, Tan Y, Johnson M, Li Y, Xiao L, Cheng J, Lin Y, Qu X. Regulatory Effects and Mechanism of Action of Green Tea Polyphenols on Osteogenesis and Adipogenesis in Human Adipose Tissue-Derived Stem Cells. Curr Issues Mol Biol 2022; 44:6046-6058. [PMID: 36547073 PMCID: PMC9776698 DOI: 10.3390/cimb44120412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/22/2022] [Accepted: 11/28/2022] [Indexed: 12/03/2022] Open
Abstract
We previously showed that green tea polyphenols (GTPs) exert antiadipogenic effects on preadipocyte proliferation. Here, we investigated the regulatory effects of GTPs on osteogenesis and adipogenesis during early differentiation of human adipose tissue-derived stem cells (hADSC). Adipogenesis of hADSCs was determined by oil-red-O staining and triglycerides synthesis measurement. Osteoporosis of hADSC was measured using alkaline phosphatase assays and intracellular calcium levels. Immunofluorescence staining and qRT-PCR were used to detect PPARγ-CEBPA regulated adipogenic pathway regulated by PPAR-CEBPA and the osteogenic pathway mediated by RUNX2-BMP2. We found that GTPs treatment significantly decreased lipid accumulation and cellular triglyceride synthesis in mature adipocytes and attenuated pioglitazone-induced adipogenesis in a dose-dependent manner. GTPs downregulated protein and mRNA expression of Pparγ and attenuated pioglitazone-stimulated-Cebpa expression. GTPs treatment significantly enhanced hADSCs differentiation into osteoblasts compared to control and pioglitazone-treated cells. GTPs upregulated RunX2 and Bmp2 proteins and mRNA expression compared to control and significantly attenuated decreased RunX2 and Bmp2 mRNA expression by pioglitazone. In conclusion, our data demonstrates GTPs possesses great ability to facilitate osteogenesis and simultaneously inhibits hADSC differentiation into adipogenic lineage by upregulating the RUNX2-BMP2 mediated osteogenic pathway and suppressing PPARγ-induced signaling of adipogenesis. These findings highlight GTPs' potential to combat osteoporosis associated with obesity.
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Yuan P, Tan Y, Yang L, Aruffo E, Ogden NH, Bélair J, Arino J, Heffernan J, Watmough J, Carabin H, Zhu H. Modeling vaccination and control strategies for outbreaks of monkeypox at gatherings. Front Public Health 2022; 10:1026489. [PMID: 36504958 PMCID: PMC9732364 DOI: 10.3389/fpubh.2022.1026489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 10/31/2022] [Indexed: 11/27/2022] Open
Abstract
Background The monkeypox outbreak in non-endemic countries in recent months has led the World Health Organization (WHO) to declare a public health emergency of international concern (PHEIC). It is thought that festivals, parties, and other gatherings may have contributed to the outbreak. Methods We considered a hypothetical metropolitan city and modeled the transmission of the monkeypox virus in humans in a high-risk group (HRG) and a low-risk group (LRG) using a Susceptible-Exposed-Infectious-Recovered (SEIR) model and incorporated gathering events. Model simulations assessed how the vaccination strategies combined with other public health measures can contribute to mitigating or halting outbreaks from mass gathering events. Results The risk of a monkeypox outbreak was high when mass gathering events occurred in the absence of public health control measures. However, the outbreaks were controlled by isolating cases and vaccinating their close contacts. Furthermore, contact tracing, vaccinating, and isolating close contacts, if they can be implemented, were more effective for the containment of monkeypox transmission during summer gatherings than a broad vaccination campaign among HRG, when accounting for the low vaccination coverage in the overall population, and the time needed for the development of the immune responses. Reducing the number of attendees and effective contacts during the gathering could also prevent a burgeoning outbreak, as could restricting attendance through vaccination requirements. Conclusion Monkeypox outbreaks following mass gatherings can be made less likely with some restrictions on either the number and density of attendees in the gathering or vaccination requirements. The ring vaccination strategy inoculating close contacts of confirmed cases may not be enough to prevent potential outbreaks; however, mass gatherings can be rendered less risky if that strategy is combined with public health measures, including identifying and isolating cases and contact tracing. Compliance with the community and promotion of awareness are also indispensable to containing the outbreak.
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Affiliation(s)
- Pei Yuan
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, Toronto, ON, Canada,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada
| | - Yi Tan
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, Toronto, ON, Canada,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada
| | - Liu Yang
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, Toronto, ON, Canada,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada,School of Mathematics and Statistics, Northeast Normal University, Changchun, China
| | - Elena Aruffo
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, Toronto, ON, Canada,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada
| | - Nicholas H. Ogden
- Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada,Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Saint-Hyacinthe, QC, Canada
| | - Jacques Bélair
- Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada,Département de Mathématiques et de Statistique, Université de Montréal, Montréal, QC, Canada
| | - Julien Arino
- Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada,Department of Mathematics, University of Manitoba, Winnipeg, MB, Canada
| | - Jane Heffernan
- Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada,Department of Mathematics and Statistics, York University, Toronto, ON, Canada
| | - James Watmough
- Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada,Department of Mathematics and Statistics, University of New Brunswick, Fredericton, NB, Canada
| | - Hélène Carabin
- Département de Pathologie et Microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, QC, Canada,Département de médecine sociale et préventive, École de santé publique de l'Université de Montréal, Montréal, QC, Canada,Centre de Recherche en Santé Publique (CReSP) de l'université de Montréal et du CIUSS du Centre Sud de Montréal, Montréal, QC, Canada,Groupe de Recherche en Épidémiologie des Zoonoses et Santé Publique (GREZOSP), Université de Montréal, Saint-Hyacinthe, QC, Canada
| | - Huaiping Zhu
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, Toronto, ON, Canada,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, ON, Canada,*Correspondence: Huaiping Zhu
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Zhou W, Tan Y, Ma J, Wang X, Yang L, Li Z, Liu C, Wu H, Sun L, Deng W. Ultrasensitive NO Sensor Based on a Nickel Single-Atom Electrocatalyst for Preliminary Screening of COVID-19. ACS Sens 2022; 7:3422-3429. [PMID: 36315489 DOI: 10.1021/acssensors.2c01597] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
A new coronavirus, SARS-CoV-2, has caused the coronavirus disease-2019 (COVID-19) epidemic. A rapid and economical method for preliminary screening of COVID-19 may help to control the COVID-19 pandemic. Here, we report a nickel single-atom electrocatalyst that can be printed on a paper-printing sensor for preliminary screening of COVID-19 suspects by efficient detection of fractional exhaled nitric oxide (FeNO). The FeNO value is confirmed to be related to COVID-19 in our exploratory clinical study, and a machine learning model that can accurately classify healthy subjects and COVID-19 patients is established based on FeNO and other features. The nickel single-atom electrocatalyst consists of a single nickel atom with N2O2 coordination embedded in porous acetylene black (named Ni-N2O2/AB). A paper-printed sensor was fabricated with the material and showed ultrasensitive response to NO in the range of 0.3-180 ppb. This ultrasensitive sensor could be applied to preliminary screening of COVID-19 in everyday life.
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Affiliation(s)
- Wei Zhou
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao266237, China
| | - Yi Tan
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao266237, China
| | - Jing Ma
- Department of Critical Care Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan430070, Hubei, China
| | - Xiao Wang
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao266237, China
| | - Li Yang
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao266237, China
| | - Zhen Li
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao266237, China
| | - Chengcheng Liu
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao266237, China
| | - Hao Wu
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao266237, China
| | - Lei Sun
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao266237, China
| | - Weiqiao Deng
- Institute of Molecular Sciences and Engineering, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao266237, China
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105
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Rong X, Chu H, Yang L, Tan S, Yang C, Yuan P, Tan Y, Zhou L, Liu Y, Zhen Q, Wang S, Fan M, Zhu H. Recursive Zero-COVID model and quantitation of control efforts of the Omicron epidemic in Jilin province. Infect Dis Model 2022; 8:11-26. [PMID: 36582747 PMCID: PMC9762187 DOI: 10.1016/j.idm.2022.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 10/06/2022] [Accepted: 11/15/2022] [Indexed: 11/25/2022] Open
Abstract
Since the beginning of March 2022, the epidemic due to the Omicron variant has developed rapidly in Jilin Province. To figure out the key controlling factors and validate the model to show the success of the Zero-COVID policy in the province, we constructed a Recursive Zero-COVID Model quantifying the strength of the control measures, and defined the control reproduction number as an index for describing the intensity of interventions. Parameter estimation and sensitivity analysis were employed to estimate and validate the impact of changes in the strength of different measures on the intensity of public health preventions qualitatively and quantitatively. The recursive Zero-COVID model predicted that the dates of elimination of cases at the community level of Changchun and Jilin Cities to be on April 8 and April 17, respectively, which are consistent with the real situation. Our results showed that the strict implementation of control measures and adherence of the public are crucial for controlling the epidemic. It is also essential to strengthen the control intensity even at the final stage to avoid the rebound of the epidemic. In addition, the control reproduction number we defined in the paper is a novel index to measure the intensity of the prevention and control measures of public health.
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Affiliation(s)
- Xinmiao Rong
- Harbin Engineering University, Harbin, 150001, China
| | - Huidi Chu
- Northeast Normal University, Changchun, 130024, China
| | - Liu Yang
- Northeast Normal University, Changchun, 130024, China
| | - Shaosi Tan
- Northeast Normal University, Changchun, 130024, China
| | - Chao Yang
- Northeast Normal University, Changchun, 130024, China
| | - Pei Yuan
- York University, Toronto, Canada
| | - Yi Tan
- York University, Toronto, Canada
| | - Linhua Zhou
- Changchun University of Science and Technology, Changchun, 130013, China
| | - Yawen Liu
- Jilin University, Changchun, 130021, China
| | - Qing Zhen
- Jilin University, Changchun, 130021, China
| | - Shishen Wang
- Changchun Center for Disease Control and Prevention, Changchun, 130033, China
| | - Meng Fan
- Northeast Normal University, Changchun, 130024, China,Corresponding author. 5268 Renmin Street, Changchun, Jilin, 130024, China.
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106
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Hao Y, Wang S, Tan Y, He X, Liu Z, Wang M. Spatio-Temporal Collaborative Module for Efficient Action Recognition. IEEE Trans Image Process 2022; 31:7279-7291. [PMID: 36378789 DOI: 10.1109/tip.2022.3221292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Efficient action recognition aims to classify a video clip into a specific action category with a low computational cost. It is challenging since the integrated spatial-temporal calculation (e. g., 3D convolution) introduces intensive operations and increases complexity. This paper explores the feasibility of the integration of channel splitting and filter decoupling for efficient architecture design and feature refinement by proposing a novel spatio-temporal collaborative (STC) module. STC splits the video feature channels into two groups and separately learns spatio-temporal representations in parallel with decoupled convolutional operators. Particularly, STC consists of two computation-efficient blocks, i.e., [Formula: see text] and [Formula: see text], where they extract either spatial ( S· ) or temporal ( T· ) features and further refine their features with either temporal ( ·T ) or spatial ( ·S ) contexts globally. The spatial/temporal context refers to information dynamics aggregated from temporal/spatial axis. To thoroughly examine our method's performance in video action recognition tasks, we conduct extensive experiments using five video benchmark datasets requiring temporal reasoning. Experimental results show that the proposed STC networks achieve a competitive trade-off between model efficiency and effectiveness.
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107
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Jia L, Sun D, Shi Y, Tan Y, Gao Q, Lu Y. Learning label-specific features via neural network for multi-label classification. INT J MACH LEARN CYB 2022. [DOI: 10.1007/s13042-022-01692-7] [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]
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108
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Lu S, Wang S, Kim RY, Zhang J, Wang X, Wang W, Zhu G, Zhou J, Tan Y, Tan M, Li M, Yin G, Li J, Feng M, Lang J. Clinical outcomes of conventional
HDR
intracavitary brachytherapy combined with complementary applicator‐guided intensity modulated radiotherapy boost in patients with bulky cervical tumor. BJOG 2022; 130:231-237. [DOI: 10.1111/1471-0528.17340] [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] [Received: 04/26/2022] [Revised: 09/29/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022]
Affiliation(s)
- S. Lu
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
- Radiation Oncology Key Laboratory of Sichuan Province Chengdu China
| | - S.‐B. Wang
- School of Medicine University of Electronic Science and Technology of China Chengdu China
| | - R. Y. Kim
- Department of Radiation Oncology University of Alabama at Birmingham Birmingham Alabama U.S.A
| | - J.‐Y. Zhang
- School of Medicine University of Electronic Science and Technology of China Chengdu China
| | - X.‐L. Wang
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
| | - W.‐D. Wang
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
- Radiation Oncology Key Laboratory of Sichuan Province Chengdu China
| | - Guiquan Zhu
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
- Radiation Oncology Key Laboratory of Sichuan Province Chengdu China
| | - J. Zhou
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
| | - Y. Tan
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
| | - M.‐Y. Tan
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
| | - M.‐L. Li
- Department of Radiation Oncology University Hospital LMU Munich Munich Germany
| | - G. Yin
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
- Radiation Oncology Key Laboratory of Sichuan Province Chengdu China
| | - J. Li
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
- Radiation Oncology Key Laboratory of Sichuan Province Chengdu China
| | - M. Feng
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
- Radiation Oncology Key Laboratory of Sichuan Province Chengdu China
| | - J.‐Y. Lang
- Department of radiation oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine University of Electronic Science and Technology of China Chengdu China
- Radiation Oncology Key Laboratory of Sichuan Province Chengdu China
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Fan Z, Xing C, Tan Y, Xu J, Liu L, Zhou Y, Jiang Y. The effect of CO 2-doped spiro-OMeTAD hole transport layer on FA (1−x)Cs xPbI 3 perovskite solar cells. Journal of Chemical Research 2022. [DOI: 10.1177/17475198221136079] [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: 11/10/2022]
Abstract
Black-phase formamidinium lead iodine with 1.48 eV bandgap is considered to be the most promising material for improving the near-theoretical limit efficiency of perovskite solar cells, but at room temperature, black-phase formamidinium lead iodine easily transforms into the yellow non-perovskite phase formamidinium lead iodine. Here, different ratios of Cs+-incorporated formamidinium lead iodine prepared by one-step processing with the stability and power conversion efficiency of formamidinium lead iodine perovskite solar cells are investigated. FA0.85Cs0.15PbI3 shows the highest power conversion efficiency of 10.63% (Voc = 1.04 V, Jsc = 16.81 mA cm−2, and fill factor = 0.60), and the unencapsulated device maintained 60% of the initial power conversion efficiency after storage in air with 40% humidity for 186 h with an active area of 0.1 cm2, when the ratios of Cs+ reached 15% ( x = 0.15) in formamidinium lead iodine. However, the efficiency of perovskite solar cell–based formamidinium lead iodine is still low. In this work, a simple but an effective strategy was carried out to rapidly and fully oxidize hole transport layer solution by doping CO2 or O2 under ultraviolet light irradiation to increase the conductivity of hole transport layer, thereby improving the power conversion efficiency of solar cells. The results show that FA0.85Cs0.15PbI3 solar cells by CO2-doped hole transport layer for 90 s exhibited the highest power conversion efficiency of 16.11% (VOC = 1.11 V, JSC = 19.73 mA cm−2, and fill factor = 0.74). The improved photovoltaic performance is attributed to CO2-doped spiro-OMeTAD increasing charge carrier density and accelerating charge separation, thereby inducing higher conductivity. CO2 or O2 doped can rapidly and fully oxidize spiro-OMeTAD, and reduce the solar cell fabrication time; it is beneficial to the commercial use of perovskite solar cells.
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Affiliation(s)
- Zhicheng Fan
- Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, China
- School of Electrical & Electronic Engineering, Hubei University of Technology, Wuhan, China
| | - Chuwu Xing
- School of Materials Science and Engineering, Hubei University, Wuhan, China
| | - Yi Tan
- School of Science, Hubei University of Technology, Wuhan, China
| | - Jinxia Xu
- Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, China
- School of Science, Hubei University of Technology, Wuhan, China
| | - Lingyun Liu
- Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, China
- School of Science, Hubei University of Technology, Wuhan, China
| | - Yuanming Zhou
- Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, China
- School of Science, Hubei University of Technology, Wuhan, China
| | - Yan Jiang
- Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, China
- School of Science, Hubei University of Technology, Wuhan, China
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Xu X, Zhang W, Gao H, Tan Y, Guo Y, He T. Polyadenylate-binding protein cytoplasmic 1 mediates alternative splicing events of immune-related genes in gastric cancer cells. Exp Biol Med (Maywood) 2022; 247:1907-1916. [PMID: 36112850 PMCID: PMC9742748 DOI: 10.1177/15353702221121631] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Polyadenylate-binding protein cytoplasmic 1 (PABPC1) is dysregulated in malignancies, which is considered as a potential therapeutic target for many cancer types. By alternative splicing (AS) for gastric cancer (GC), we described PABPC1-modulated AS events in this study. PABPC1 expression was analyzed in 408 GC tissues from The Cancer Genome Altas (TCGA) database. Human gastric adenocarcinoma (AGS) cells were transfected with PABPC1-specific small interfering RNA (siPABPC1) with siCtrl as a negative control. Quantitative reverse-transcription polymerase chain reaction (qRT-PCR) was done for the determination of transcripts. To detect the differentially expressed genes (DEGs) and 10 different types of AS events, RNA sequencing (RNA-seq) was performed. DEGs were analyzed for functional categories including gene ontology, and the Kyoto encyclopedia of genes and genomes pathway were analyzed for DEGs. GC displayed an elevated expression of PABPC1. PABPC1 was efficiently knocked down in AGS cells. Here, we excavated 1234 PABPC1-regulated DEGs, among which 502 were down-regulated and 732 were up-regulated compared to the siCtrl group. A total of 94 DEGs were involved in inflammation and immune response. Results from qRT-PCR validated the up-regulation of 10 immune and inflammation-related DEGs in the siPABPC1 group. PABPC1 deficiency causes 1304 AS events differentially occurred in AGS cells. The most common type of AS events regulated by PABPC2 is alternative 5' splice sites. qRT-PCR confirmed the transcription level of five immune-related genes, in which AS events were detected in the siPABPC1 group. PABPC1 knockdown mediates AS events and thus the transcript level of immune and inflammation-related genes in AGS cells. PABPC1-regulated oncogenic AS events display potential as targets for therapeutic development.
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111
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Yang J, Zhou J, M. li, Zhang ZY, Cheng Y, Chu D, Pan H, Wang B, Chen G, Wang K, Jiang L, Hu Y, Shi J, Hui AM, Zhou Y, Wu Z, Sun J, Tan Y, Xiang X, Wu YL. 392P A phase II study of SAF-189s in patients with advanced ROS1 fusion-positive non-small cell lung cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
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Aruffo E, Yuan P, Tan Y, Gatov E, Gournis E, Collier S, Ogden N, Bélair J, Zhu H. Community structured model for vaccine strategies to control COVID19 spread: A mathematical study. PLoS One 2022; 17:e0258648. [PMID: 36301932 PMCID: PMC9612529 DOI: 10.1371/journal.pone.0258648] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 10/02/2021] [Indexed: 11/06/2022] Open
Abstract
Initial efforts to mitigate the COVID-19 pandemic have relied heavily on non-pharmaceutical interventions (NPIs), including physical distancing, hand hygiene, and mask-wearing. However, an effective vaccine is essential to containing the spread of the virus. We developed a compartmental model to examine different vaccine strategies for controlling the spread of COVID-19. Our framework accounts for testing rates, test-turnaround times, and vaccination waning immunity. Using reported case data from the city of Toronto, Canada between Mar-Dec, 2020 we defined epidemic phases of infection using contact rates as well as the probability of transmission upon contact. We investigated the impact of vaccine distribution by comparing different permutations of waning immunity, vaccine coverage and efficacy throughout various stages of NPI's relaxation in terms of cases and deaths. The basic reproduction number is also studied. We observed that widespread vaccine coverage substantially reduced the number of cases and deaths. Under phases with high transmission, an early or late reopening will result in new resurgence of the infection, even with the highest coverage. On the other hand, under phases with lower transmission, 60% of coverage is enough to prevent new infections. Our analysis of R0 showed that the basic reproduction number is reduced by decreasing the tests turnaround time and transmission in the household. While we found that household transmission can decrease following the introduction of a vaccine, public health efforts to reduce test turnaround times remain important for virus containment.
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Affiliation(s)
- Elena Aruffo
- Centre for Diseases Modeling (CDM), York University, Toronto, Ontario, Canada
- Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada
| | - Pei Yuan
- Centre for Diseases Modeling (CDM), York University, Toronto, Ontario, Canada
- Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada
| | - Yi Tan
- Centre for Diseases Modeling (CDM), York University, Toronto, Ontario, Canada
- Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada
| | | | | | | | - Nick Ogden
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Jacques Bélair
- Centre for Diseases Modeling (CDM), York University, Toronto, Ontario, Canada
- Département de Mathématiques et de Statistique, Université de Montréal, Montréal, Québec, Canada
| | - Huaiping Zhu
- Centre for Diseases Modeling (CDM), York University, Toronto, Ontario, Canada
- Department of Mathematics and Statistics, York University, Toronto, Ontario, Canada
- * E-mail:
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113
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Lv YN, Liu AW, Tan Y, Hu CL, Hua TP, Zou XB, Sun YR, Zou CL, Guo GC, Hu SM. Fano-like Resonance due to Interference with Distant Transitions. Phys Rev Lett 2022; 129:163201. [PMID: 36306764 DOI: 10.1103/physrevlett.129.163201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
Narrow optical resonances of atoms or molecules have immense significance in various precision measurements, such as testing fundamental physics and the generation of primary frequency standards. In these studies, accurate transition centers derived from fitting the measured spectra are demanded, which critically rely on the knowledge of spectral line profiles. Here, we propose a new mechanism of Fano-like resonance induced by distant discrete levels and experimentally verify it with Doppler-free spectroscopy of vibration-rotational transitions of CO_{2}. The observed spectrum has an asymmetric profile and its amplitude increases quadratically with the probe laser power. Our results facilitate a broad range of topics based on narrow transitions.
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Affiliation(s)
- Y-N Lv
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China
- Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China
| | - A-W Liu
- Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China
- Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China
| | - Y Tan
- Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China
- Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China
| | - C-L Hu
- Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China
| | - T-P Hua
- Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China
| | - X-B Zou
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China
- Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China
| | - Y R Sun
- Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China
- Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China
- Institute of Advanced Science Facilities, Shenzhen 518107, China
| | - C-L Zou
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China
- Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China
- State Key Laboratory of Quantum Optics and Quantum Optics Devices, and Institute of Opto-Electronics, Shanxi University, Taiyuan 030006, China
| | - G-C Guo
- CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China
- Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China
| | - S-M Hu
- Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China
- Department of Chemical Physics, University of Science and Technology of China, Hefei 230026, China
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114
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Lei C, Sun R, Xu G, Tan Y, Feng W, McClain CJ, Deng Z. Enteric VIP-producing neurons maintain gut microbiota homeostasis through regulating epithelium fucosylation. Cell Host Microbe 2022; 30:1417-1434.e8. [PMID: 36150396 PMCID: PMC9588764 DOI: 10.1016/j.chom.2022.09.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [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: 01/28/2022] [Revised: 05/18/2022] [Accepted: 08/31/2022] [Indexed: 12/12/2022]
Abstract
Interactions between the enteric nervous system (ENS) and intestinal epithelium are thought to play a vital role in intestinal homeostasis. How the ENS monitors the frontier with commensal and pathogenic microbes while maintaining epithelial function remains unclear. Here, by combining subdiaphragmatic vagotomy with transcriptomics, chemogenetic strategy, and coculture of enteric neuron-intestinal organoid, we show that enteric neurons expressing VIP shape the α1,2-fucosylation of intestinal epithelial cells (IECs). Mechanistically, neuropeptide VIP activates fut2 expression via the Erk1/2-c-Fos pathway through the VIPR1 receptor on IECs. We further demonstrate that perturbation of enteric neurons leads to gut dysbiosis through α1,2-fucosylation in the steady state and results in increased susceptibility to alcohol-associated liver disease (ALD). This was attributed to an imbalance between beneficial Bifidobacterium and opportunistic pathogenic Enterococcus faecalis in ALD. In addition, Bifidobacterium α1,2-fucosidase may promote Bifidobacterium adhesion to the mucosal surface, which restricts Enterococcus faecalis overgrowth and prevents ALD progression.
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Affiliation(s)
- Chao Lei
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA; Brown Cancer Center, University of Louisville, Louisville, KY, USA
| | - Rui Sun
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA; Brown Cancer Center, University of Louisville, Louisville, KY, USA; Central Laboratory and Department of Oncology, Wuhan Fourth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430033, China
| | - Guangzhong Xu
- Department of Medicine, University of Louisville, Louisville, KY, USA
| | - Yi Tan
- Department of Pediatrics, University of Louisville, Louisville, KY, USA
| | - Wenke Feng
- Department of Medicine, University of Louisville, Louisville, KY, USA; Alcohol Research Center, University of Louisville, Louisville, KY, USA; Hepatobiology & Toxicology Center, University of Louisville, Louisville, KY, USA
| | - Craig J McClain
- Department of Medicine, University of Louisville, Louisville, KY, USA; Alcohol Research Center, University of Louisville, Louisville, KY, USA; Hepatobiology & Toxicology Center, University of Louisville, Louisville, KY, USA; Robley Rex VA Medical Center, Louisville, KY, USA
| | - Zhongbin Deng
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA; Brown Cancer Center, University of Louisville, Louisville, KY, USA; Alcohol Research Center, University of Louisville, Louisville, KY, USA; Hepatobiology & Toxicology Center, University of Louisville, Louisville, KY, USA.
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Yuan P, Tan Y, Yang L, Aruffo E, Ogden NH, Yang G, Lu H, Lin Z, Lin W, Ma W, Fan M, Wang K, Shen J, Chen T, Zhu H. Assessing the mechanism of citywide test-trace-isolate Zero-COVID policy and exit strategy of COVID-19 pandemic. Infect Dis Poverty 2022; 11:104. [PMID: 36192815 PMCID: PMC9529335 DOI: 10.1186/s40249-022-01030-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/16/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Countries that aimed for eliminating the cases of COVID-19 with test-trace-isolate policy are found to have lower infections, deaths, and better economic performance, compared with those that opted for other mitigation strategies. However, the continuous evolution of new strains has raised the question of whether COVID-19 eradication is still possible given the limited public health response capacity and fatigue of the epidemic. We aim to investigate the mechanism of the Zero-COVID policy on outbreak containment, and to explore the possibility of eradication of Omicron transmission using the citywide test-trace-isolate (CTTI) strategy. METHODS We develop a compartmental model incorporating the CTTI Zero-COVID policy to understand how it contributes to the SARS-CoV-2 elimination. We employ our model to mimic the Delta outbreak in Fujian Province, China, from September 10 to October 9, 2021, and the Omicron outbreak in Jilin Province, China for the period from March 1 to April 1, 2022. Projections and sensitivity analyses were conducted using dynamical system and Latin Hypercube Sampling/ Partial Rank Correlation Coefficient (PRCC). RESULTS Calibration results of the model estimate the Fujian Delta outbreak can end in 30 (95% confidence interval CI: 28-33) days, after 10 (95% CI: 9-11) rounds of citywide testing. The emerging Jilin Omicron outbreak may achieve zero COVID cases in 50 (95% CI: 41-57) days if supported with sufficient public health resources and population compliance, which shows the effectiveness of the CTTI Zero-COVID policy. CONCLUSIONS The CTTI policy shows the capacity for the eradication of the Delta outbreaks and also the Omicron outbreaks. Nonetheless, the implementation of radical CTTI is challenging, which requires routine monitoring for early detection, adequate testing capacity, efficient contact tracing, and high isolation compliance, which constrain its benefits in regions with limited resources. Moreover, these challenges become even more acute in the face of more contagious variants with a high proportion of asymptomatic cases. Hence, in regions where CTTI is not possible, personal protection, public health control measures, and vaccination are indispensable for mitigating and exiting the COVID-19 pandemic.
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Affiliation(s)
- Pei Yuan
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, Canada
| | - Yi Tan
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, Canada
| | - Liu Yang
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, Canada.,School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, China
| | - Elena Aruffo
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, Canada
| | - Nicholas H Ogden
- Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, Canada.,Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Saint-Hyacinthe, Canada
| | - Guojing Yang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education and School of Tropical Medicine and Laboratory Medicine, The First Affiliated Hospital of Hainan Medical University, Hainan Medical University, Haikou, Hainan, China.
| | - Haixia Lu
- School of Arts and Science, Suqian University, Suqian, Jiangsu, China
| | - Zhigui Lin
- School of Mathematical Science, Yangzhou University, Yangzhou, Jiangsu, China
| | - Weichuan Lin
- School of Mathematics and Statistics, Fujian Normal University, Fuzhou, Fujian, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, Guangdong, China.,Disease Control and Prevention Institute, Jinan University, Guangzhou, Guangdong, China
| | - Meng Fan
- School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, China
| | - Kaifa Wang
- School of Mathematics and Statistics, Southwest University, Chongqing, China
| | - Jianhe Shen
- School of Mathematics and Statistics, Fujian Normal University, Fuzhou, Fujian, China
| | - Tianmu Chen
- School of Public Health and State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Xiamen University, Xiamen, Fujian, China
| | - Huaiping Zhu
- Laboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada. .,Canadian Centre for Diseases Modeling (CCDM), York University, Toronto, Canada.
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Zheng YY, Zhu H, Tan Y, Liu FYQ, Wu YX. Rapid Self-healing and Strong Adhesive Elastomer via Supramolecular Aggregates from Core-shell Micelles of Silicon Hydroxyl-functionalized cis-Polybutadiene. Chin J Polym Sci 2022. [DOI: 10.1007/s10118-022-2808-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Liu L, Li J, Wang C, Xu Y, Leung CK, Yang G, Lin S, Zhang S, Tan Y, Zhang H, Wang H, Liu J, Li M, Zeng X. Cannabidiol attenuates methamphetamine-induced conditioned place preference in male rats and viability in PC12 cells through the Sigma1R/AKT/GSK3β/CREB signaling pathway. Am J Drug Alcohol Abuse 2022; 48:548-561. [PMID: 35881880 DOI: 10.1080/00952990.2022.2073450] [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] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Background: Methamphetamine use is associated with several negative consequences, including neurotoxicity and greater probability of exhibiting a substance use disorder. Sigma1 receptor is involved in the neurobiological basis of several drug use disorders. Cannabidiol has received attention in the treatment of drug use disorders and neurotoxicity. Objectives: To investigate the effects of cannabidiol on methamphetamine-induced conditioned place preference (CPP) and the viability of PC12 cells. Methods: Adult male rats (n = 70) underwent methamphetamine (2 mg/kg, IP) induced CPP, and were administered cannabidiol (10, 20, 40, or 80 mg/kg, IP) during the methamphetamine withdrawal period for five consecutive days. Methamphetamine (0.5 mg/kg) was then injected to reactivate CPP. Four brain regions (ventral tegmental area, nucleus accumbens, prefrontal cortex, and hippocampus) were extracted after the last test. PC12 cells were treated with cannabidiol, Sigma1R-siRNA, or BD1047 before methamphetamine exposure. Results: Administration of 20, 40, or 80 mg/kg cannabidiol facilitated CPP extinction (80 mg/kg, p < .001) and prevented CPP development (80 mg/kg, p < .0001). This was associated with changes in the expression of Sigma1R (ventral tegmental area, 80 mg/kg, p < .0001) in the four brain regions. Cannabidiol protected the PC12 cell's viability (10 μM, p = .0008) and inhibited the methamphetamine-induced activation of the AKT/GSK3β/CREB signaling pathway by mediating Sigma1R (10 μM, p < .0001). Conclusions: Cannabidiol seems to inhibit the rewarding effects of methamphetamine and the effects of this drug on cell viability. Sigma1R should be given further consideration as a potential target for cannabidiol.
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Affiliation(s)
- Liu Liu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Juan Li
- School of Basic Medicine, Kunming Medical University, Kunming, China
| | - Chan Wang
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Yue Xu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Chi-Kwan Leung
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.,CUHK-SDU Joint Laboratory of Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Genmeng Yang
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Shucheng Lin
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Shuwei Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Yi Tan
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Huijie Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Haowei Wang
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Jianxing Liu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Ming Li
- School of Rehabilitation Medicine, Kunming Medical University, Kunming, China
| | - Xiaofeng Zeng
- School of Forensic Medicine, Kunming Medical University, Kunming, China
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Dong Y, Tan Y, Wang K, Cai Y, Li J, Sonne C, Li C. Reviewing wood-based solar-driven interfacial evaporators for desalination. Water Res 2022; 223:119011. [PMID: 36037711 DOI: 10.1016/j.watres.2022.119011] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/26/2022] [Accepted: 08/21/2022] [Indexed: 06/15/2023]
Abstract
Solar‒driven interfacial water evaporation is a convenient and efficient strategy for harvesting solar energy and desalinating seawater. However, the design and fabrication of solar evaporators still challenge reliable evaporation and practical applications. Wood-based solar-driven interfacial water evaporation emerge as a promising and environmentally friendly approach for water desalinating as it provides renewable and porous structures. In recent years, surface modifications and innovative structural designs to prepare high performance wood-based evaporators is widely explored. In this review, we firstly describe the superiority of wood for the fabrication of wood-based solar evaporators, including the pore structure, chemical structure and thermal insulation. Secondly, we summarize the recent developments in wood-based evaporators from surface carbonization, decoration with photothermal materials, bulk modification and structural design, and discuss from the aspects of water transportation capacity, thermal conductivity and photothermal efficiency. Finally, based on these previous results and analysis, we highlight the remaining challenges and potential future directions, including the selection of high-efficient photothermal materials, heat and mass transfer mechanism in wood-based evaporators including large-scale production at a low cost.
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Affiliation(s)
- Youming Dong
- Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Yi Tan
- MOE Key Laboratory of Wooden Material Science and Application, Beijing Forestry University, Beijing 100083, China
| | - Kaili Wang
- Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Yahui Cai
- Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Jianzhang Li
- Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China; MOE Key Laboratory of Wooden Material Science and Application, Beijing Forestry University, Beijing 100083, China
| | - Christian Sonne
- College of Forestry, Henan Agricultural University, Zhengzhou 450002, China; Department of Ecoscience, Aarhus University, Frederiksborgvej 399, Roskilde DK-4000, Denmark.
| | - Cheng Li
- Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing 210037, China; College of Forestry, Henan Agricultural University, Zhengzhou 450002, China.
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Wu L, Pu X, Lin G, Xiao M, Lin J, Wang Q, Kong Y, Yan X, Xu F, Xu Y, Li J, Li K, Chen B, Wen X, Tan Y. EP08.01-094 A Phase II Study of Camrelizumab combined with Apatinib and Albumin Paclitaxel in Advanced Non-squamous NSCLC (CAPAP-lung). J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.665] [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]
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120
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Sheng W, Zhang Q, Duan Q, Tan Y, Sun T, Qi C. 1774P Association of CREBBP mutation with favorable outcome with immune checkpoint inhibitors in bladder cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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121
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Li J, Zhang Q, Tan Y, Duan Q, Sun T, Qi C. 120P The predictive value of LATS1 mutation for immune checkpoint inhibitors therapy in bladder cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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122
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Gao T, Chen S, Han Y, Zhang D, Tan Y, He Y, Liu M. Ameliorating Inflammation in Insulin-resistant Rat Adipose Tissue with Abdominal Massage Regulates SIRT1/NF-κB Signaling. Cell Biochem Biophys 2022; 80:579-589. [PMID: 35907080 PMCID: PMC9388453 DOI: 10.1007/s12013-022-01085-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/18/2022] [Indexed: 12/12/2022]
Abstract
It was the aim of this study to determine whether abdominal massage reverses high-fat diet-induced insulin resistance compared with RSV treatment. A total of sixty male Sprague-Dawley rats were randomly placed in one of four groups:the non-fat diet (NFD), the high-fat diet (HFD), the HFD with abdominal massage (HFD+ AM), and the HFD plus resveratrol (HFD+ RSV). For eight weeks, rats were fed high-fat diets to create insulin resistance, followed by six weeks of either AM or RSV. Molecular mechanisms of adipogenesis and cytokine production in rats with high-fat diets were investigated. The model rat adipose tissue showed significant improvements in obesity, glucose intolerance, and the accumulation of lipid in the body [the total cholesterol level (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C)], metabolic effects of glucose [The fasting blood glucose (FBG), Fasting insulin levels (FINS)], inflammatory status [interleukin-6 (IL-6) and tumor necrosis factor (TNF)-α, C-reactive protein (CRP)], and macrophage polarization after AM or RSV treatment. Further, AM increased SIRT1/NF-κB signaling in rat adipose tissue. Accordingly, in rat adipose tissue, our results indicate that AM regulates the secretion of proinflammatory cytokines, blood sugar levels, and related signaling pathways, contributing to improvement of IR, which may serves as a new therapeutic approach for the treatment for IR.
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Affiliation(s)
- Tianjiao Gao
- Departments of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin Province, 130117, PR China
| | - Shaotao Chen
- Departments of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin Province, 130117, PR China
| | - Yiran Han
- Departments of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin Province, 130117, PR China
| | - Dongmei Zhang
- Departments of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin Province, 130117, PR China
| | - Yi Tan
- Departments of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin Province, 130117, PR China
| | - Yutao He
- Departments of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin Province, 130117, PR China
| | - Mingjun Liu
- Departments of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin Province, 130117, PR China.
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Qiu J, Zhang Q, Tan Y, Duan Q, Qi C, Sun T. 769P Analysis of PMS2 mutation as a potential biomarker for melanoma immunotherapy. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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124
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Dai X, Wang K, Fan J, Liu H, Fan X, Lin Q, Chen Y, Chen H, Li Y, Liu H, Chen O, Chen J, Li X, Ren D, Li J, Conklin DJ, Wintergerst KA, Li Y, Cai L, Deng Z, Yan X, Tan Y. Nrf2 transcriptional upregulation of IDH2 to tune mitochondrial dynamics and rescue angiogenic function of diabetic EPCs. Redox Biol 2022; 56:102449. [PMID: 36063728 PMCID: PMC9463384 DOI: 10.1016/j.redox.2022.102449] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [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: 11/02/2021] [Revised: 07/30/2022] [Accepted: 08/15/2022] [Indexed: 01/11/2023] Open
Abstract
Endothelial progenitor cells (EPCs) are reduced in number and impaired in function in diabetic patients. Whether and how Nrf2 regulates the function of diabetic EPCs remains unclear. In this study, we found that the expression of Nrf2 and its downstream genes were decreased in EPCs from both diabetic patients and db/db mice. Survival ability and angiogenic function of EPCs from diabetic patients and db/db mice also were impaired. Gain- and loss-of-function studies, respectively, showed that knockdown of Nrf2 increased apoptosis and impaired tube formation in EPCs from healthy donors and wild-type mice, while Nrf2 overexpression decreased apoptosis and rescued tube formation in EPCs from diabetic patients and db/db mice. Additionally, proangiogenic function of Nrf2-manipulated mouse EPCs was validated in db/db mice with hind limb ischemia. Mechanistic studies demonstrated that diabetes induced mitochondrial fragmentation and dysfunction of EPCs by dysregulating the abundance of proteins controlling mitochondrial dynamics; upregulating Nrf2 expression attenuated diabetes-induced mitochondrial fragmentation and dysfunction and rectified the abundance of proteins controlling mitochondrial dynamics. Further RNA-sequencing analysis demonstrated that Nrf2 specifically upregulated the transcription of isocitrate dehydrogenase 2 (IDH2), a key enzyme regulating tricarboxylic acid cycle and mitochondrial function. Overexpression of IDH2 rectified Nrf2 knockdown- or diabetes-induced mitochondrial fragmentation and EPC dysfunction. In a therapeutic approach, supplementation of an Nrf2 activator sulforaphane enhanced angiogenesis and blood perfusion recovery in db/db mice with hind limb ischemia. Collectively, these findings indicate that Nrf2 is a potential therapeutic target for improving diabetic EPC function. Thus, elevating Nrf2 expression enhances EPC resistance to diabetes-induced oxidative damage and improves therapeutic efficacy of EPCs in treating diabetic limb ischemia likely via transcriptional upregulating IDH2 expression and improving mitochondrial function of diabetic EPCs.
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Affiliation(s)
- Xiaozhen Dai
- School of Biosciences and Technology, Chengdu Medical College, Chengdu, Sichuan, China,Pediatric Research Institute, Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Kai Wang
- Department of Pediatrics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jiawei Fan
- School of Biosciences and Technology, Chengdu Medical College, Chengdu, Sichuan, China
| | - Hanjie Liu
- School of Laboratory Medicine, Chengdu Medical College, Chengdu, China
| | - Xia Fan
- Chinese-American Research Institute for Diabetic Complications, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Qian Lin
- Pediatric Research Institute, Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Yuhang Chen
- School of Laboratory Medicine, Chengdu Medical College, Chengdu, China
| | - Hu Chen
- The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Yao Li
- The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Hairong Liu
- The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China
| | - Oscar Chen
- Pediatric Research Institute, Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Jing Chen
- Pediatric Research Institute, Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA
| | - Xiaohong Li
- Kentucky IDeA Network for Biomedical Research Excellence Bioinformatics Core, University of Louisville, Louisville, KY, USA
| | - Di Ren
- Department of Surgery, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Ji Li
- Department of Surgery, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Daniel J. Conklin
- Department of Medicine and Diabetes and Obesity Center, University of Louisville, Louisville, KY, USA
| | - Kupper A. Wintergerst
- Pediatric Research Institute, Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA,Division of Endocrinology, Department of Pediatrics, University of Louisville, Norton Children’s Hospital, Louisville, KY, USA,Wendy L. Novak Diabetes Care Center, Norton Children’s Hospital, Louisville, KY, USA
| | - Yu Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Lu Cai
- Pediatric Research Institute, Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA,Wendy L. Novak Diabetes Care Center, Norton Children’s Hospital, Louisville, KY, USA
| | - Zhongbin Deng
- Department of Surgery, Division of Immunotherapy, University of Louisville, Louisville, KY, USA
| | - Xiaoqing Yan
- Chinese-American Research Institute for Diabetic Complications, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China,Corresponding author. Chinese-American Research Institute for Diabetic Complications, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China.
| | - Yi Tan
- Pediatric Research Institute, Department of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA,Wendy L. Novak Diabetes Care Center, Norton Children’s Hospital, Louisville, KY, USA,Corresponding author. Pediatric Research Institute, Department of Pediatrics of the University of Louisville School of Medicine, 570 South Preston Street, Baxter-I Building Suite 304E, Louisville, KY, 40202 USA.
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125
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Tan Y, Zhang X, Cheang WS. Isoflavones daidzin and daidzein inhibit lipopolysaccharide-induced inflammation in RAW264.7 macrophages. Chin Med 2022; 17:95. [PMID: 35974408 PMCID: PMC9380348 DOI: 10.1186/s13020-022-00653-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 08/05/2022] [Indexed: 11/24/2022] Open
Abstract
Background Inflammation contributes to various diseases and soybeans and legumes are shown to reduce inflammation. However, the bioactive ingredients involved and mechanisms are not completely known. We hypothesized that soy isoflavones daidzin and daidzein exhibit anti-inflammatory effect in lipopolysaccharides (LPS)-stimulated RAW264.7 macrophage cell model and that activation mitogen-activated protein kinase (MAPK) and nuclear factor kappa B (NF-κB) signaling pathways may mediate the effect. Methods Cell viability and nitric oxide (NO) level were determined by 3-(4,5)-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay and Griess reagent respectively. ELISA kits and Western blotting respectively assessed the generations of pro-inflammatory cytokines and protein expressions of signaling molecules. p65 nuclear translocation was determined by immunofluorescence assay. Results The in vitro results showed that both isoflavones did not affect cell viability at the concentrations being tested and significantly reduced levels of NO, pro-inflammatory cytokines such as interleukin (IL)-6 and tumor necrosis factor-α (TNF-α), and inflammatory indicators such as cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS) in RAW264.7 cells. Daidzin and daidzein partially suppressed MAPK signaling pathways, reducing the phosphorylation of p38 and ERK; whilst phosphorylation of JNK was mildly but not significantly decreased. For the involvement of NF-κB signaling pathways, daidzin only reduced the phosphorylation of p65 whereas daidzein effectively inhibited the phosphorylation of IKKα/β, IκBα and p65. Daidzin and daidzein inhibited p65 nuclear translocation, comparable with dexamethasone (positive control). Conclusion This study supports the anti-inflammatory effects of isoflavones daidzin and daidzein, which were at least partially mediated through inactivation of MAPK and/or NF-κB signaling pathways in macrophages.
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Affiliation(s)
- Yi Tan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Xutao Zhang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Wai San Cheang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China.
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Dai X, Wang K, Lin Q, Oscar C, Conklin DJ, Wintergerst KA, Cai L, Deng Z, Tan Y. Abstract P3011: Nrf2 Transcriptional Upregulation Of Idh2 To Tune Mitochondrial Dynamics And Rescue Angiogenic Function Of Diabetic Epcs. Circ Res 2022. [DOI: 10.1161/res.131.suppl_1.p3011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Endothelial progenitor cells (EPCs) are reduced in number and impaired in function in diabetic patients. Whether and how Nrf2 regulates the function of diabetic EPCs remains unclear. In this study, we found that the expression of Nrf2 and its downstream genes were decreased in EPCs from both diabetic patients and
db/db
mice. Survival ability and angiogenic function of EPCs from diabetic patients and
db/db
mice also were impaired. Gain- and loss-of-function studies, respectively, showed that knockdown of Nrf2 increased apoptosis and impaired tube formation in EPCs from healthy donors and wild-type mice, while Nrf2 overexpression decreased apoptosis and rescued tube formation in EPCs from diabetic patients and
db/db
mice. Additionally, proangiogenic function of Nrf2-manipulated mouse EPCs was validated in
db/db
mice with hind limb ischemia. Mechanistic studies demonstrated that diabetes induced mitochondrial fragmentation and dysfunction of EPCs by dysregulating the abundance of proteins controlling mitochondrial dynamics; upregulating Nrf2 expression attenuated diabetes-induced mitochondrial fragmentation and dysfunction and rectified the abundance of proteins controlling mitochondrial dynamics. Further RNA-sequencing analysis demonstrated that Nrf2 specifically upregulated the transcription of isocitrate dehydrogenase 2 (IDH2), a key enzyme regulating tricarboxylic acid cycle and mitochondrial function. Overexpression of IDH2 rectified Nrf2 knockdown- or diabetes-induced mitochondrial fragmentation and EPC dysfunction. In a therapeutic approach, supplementation of an Nrf2 activator sulforaphane enhanced angiogenesis and blood perfusion recovery in
db/db
mice with hind limb ischemia. Collectively, these findings indicate that Nrf2 is a potential therapeutic target for improving diabetic EPC function. Thus, elevating Nrf2 expression enhances EPC resistance to diabetes-induced oxidative damage and improves therapeutic efficacy of EPCs in treating diabetic limb ischemia likely via transcriptional upregulation of IDH2 expression and improving mitochondrial function of diabetic EPCs.
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Affiliation(s)
| | - Kai Wang
- UNIVERSITY LOUISVILLE, Louisville, KY
| | - Qian Lin
- UNIVERSITY LOUISVILLE, Louisville, KY
| | | | | | | | - Lu Cai
- Univ of Louisville, Louisville, KY
| | | | - Yi Tan
- UNIVERSITY LOUISVILLE, Louisville, KY
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127
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Tan Y, Qin JN, Wan HQ, Zhao SM, Zeng Q, Zhang C, Qu SL. PIWI/piRNA-mediated regulation of signaling pathways in cell apoptosis. Eur Rev Med Pharmacol Sci 2022; 26:5689-5697. [PMID: 36066141 DOI: 10.26355/eurrev_202208_29503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE This study aims to summarize the role of PIWIs/piRNAs in cell apoptosis through multiple signaling pathways. The PIWI-interacting RNAs (piRNAs) are among the small non-coding RNAs (sncRNAs) and are mainly expressed in germline cells. PIWI protein is the key to the biogenesis of piRNA. With the deepening of research in recent years, the PIWIs/piRNAs are expressed in a tissue-specific way in somatic cells outside the germline. In addition, researchers have found that the PIWIs/piRNAs play a regulatory role in cell apoptosis, proliferation, and necrosis by regulating key signaling pathways, such as PI3K/Akt signaling pathway, STAT signaling pathway, TGF-β signaling pathway, and Fas signaling pathway at the transcriptional or post-transcriptional level. However, the PIWIs/piRNAs' role in cell apoptosis and its underlying mechanisms are still not fully understood. This study reviews the regulatory functions of PIWIs/piRNAs in apoptosis from the perspective of the signal pathway. MATERIALS AND METHODS This study is a narrative review. PubMed and MEDLINE were used as the primary sources to search the following keywords: PIWI/piRNAs, signal pathway, pro-apoptotic, anti-apoptotic, and signaling pathway. RESULTS PIWIs/piRNAs modulated pro-apoptotic or anti-apoptotic effects in a variety of cells: PIWIs/piRNAs through PI3K/Akt signaling pathway, STAT signaling pathway, TGF-β signaling pathway, and Fas signaling pathway for pro-apoptotic or anti-apoptotic effects in cells. CONCLUSIONS Apoptosis is a basic biological phenomenon of cell death, and it also has a great significance and complex molecular biological mechanisms. PIWI/piRNAs are closely related to various types of diseases and play a pro-apoptotic or anti-apoptotic role through the following pathways: PI3K/Akt signaling, STAT signaling, TGF-β signaling, and Fas signaling pathways.
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Affiliation(s)
- Y Tan
- Pathophysiology Department, Institute of Cardiovascular Disease, Key Laboratory for Arteriosclerology of Hunan Province, Hunan International Scientific and Technological Cooperation Base of Arteriosclerotic disease, University of South China, Hengyang, China.
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128
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Favero BT, Tan Y, Chen X, Müller R, Lütken H. Kalanchoë blossfeldiana naturally transformed with Rhizobium rhizogenes exhibits superior root phenotype. Plant Sci 2022; 321:111323. [PMID: 35696923 DOI: 10.1016/j.plantsci.2022.111323] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 03/04/2022] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
Plant transformation with root oncogenic loci (rol) genes and open reading frames (ORFs) from Rhizobium rhizogenes have not yet targeted the underground root phenotype of these transformants. Hence, there is a need to develop plants with more efficient root system architecture (RSA). Here, RSA was assessed in naturally transformed (NT) and single rol/ORF Kalanchoë blossfeldiana 'Molly' lines in an aeroponic growth system combined with gene expression analysis. Three NT lines; 306, 324 and 331; exhibited better-developed RSA with longer roots and increased root biomass. In line 306, longest root was 6.3 ± 0.3 cm while WT had 4.8 ± 0.1 cm. However, root length of all overexpressing lines was ca. 30% shorter than WT. Root fresh weight of NT lines was 4.5-fold higher than WT. The expression of rolB, ∆ORF13a and ORF14 in the leaves of overexpressing lines was many folds higher than in NT lines. Increased expression of ∆ORF13a and ORF14 in leaves and roots may contribute more to a stronger compact phenotype than previously assumed. The moderate compact phenotype of NT lines combined with improved RSA compared to the overexpressing lines and WT strongly indicate that the use of R. rhizogenes has great potential to produce Kalanchoë phenotypes with enhanced RSA.
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Affiliation(s)
- Bruno Trevenzoli Favero
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark.
| | - Yi Tan
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark
| | - Xuefei Chen
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark
| | - Renate Müller
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark
| | - Henrik Lütken
- Section for Crop Sciences, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegård Allé 13, 2630 Tåstrup, Denmark
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129
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Sun Z, Ma W, Cao Y, Wei T, Mo X, Chow HY, Tan Y, Cheung CH, Liu J, Lee HK, Tse EC, Liu H, Li X. Superfast desulfurization for protein chemical synthesis and modification. Chem 2022. [DOI: 10.1016/j.chempr.2022.07.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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130
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Xu L, Shao F, Luo T, Li Q, Tan D, Tan Y. Pan-Cancer Analysis Identifies CHD5 as a Potential Biomarker for Glioma. Int J Mol Sci 2022; 23:ijms23158489. [PMID: 35955624 PMCID: PMC9369136 DOI: 10.3390/ijms23158489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/19/2022] [Accepted: 07/27/2022] [Indexed: 02/01/2023] Open
Abstract
The chromodomain helicase DNA binding domain 5 (CHD5) is required for neural development and plays an important role in the regulation of gene expression. Although CHD5 exerts a broad tumor suppressor effect in many tumor types, its specific functions regarding its expression levels, and impact on immune cell infiltration, proliferation and migration in glioma remain unclear. Here, we evaluated the role of CHD5 in tumor immunity in a pan-cancer multi-database using the R language. The Cancer Genome Atlas (TCGA), Genotype Tissue Expression (GTEx), and Cancer Cell Lines Encyclopedia (CCLE) datasets were utilized to determine the role of CHD5 in 33 types of cancers, including the expression level, prognosis, tumor progression, and immune microenvironment. Furthermore, we explored the effect of CHD5 on glioma proliferation and migration using the cell counting kit 8 (CCK-8) assay, transwell assays and western blot analysis. The findings from our pan-cancer analysis showed that CHD5 was differentially expressed in the tumor tissues as compared to the normal tissues. Survival analysis showed that CHD5 was generally associated with the prognosis of glioblastoma (GBM), low Grade Glioma (LGG) and neuroblastoma, where the low expression of CHD5 was associated with a worse prognosis in glioma patients. Then, we confirmed that the expression level of CHD5 was associated with tumor immune infiltration and tumor microenvironment, especially in glioma. Moreover, si-RNA mediated knockdown of CHD5 promoted the proliferation and migration of glioma cells in vitro. In conclusion, CHD5 was found to be differentially expressed in the pan-cancer analysis and might play an important role in antitumor immunity. CHD5 is expected to be a potential tumor prognostic marker, especially in glioma.
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Affiliation(s)
- Lei Xu
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
| | - Fengling Shao
- The Ministry of Education Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, China;
| | - Tengling Luo
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
| | - Qijun Li
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
| | - Dongmei Tan
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
| | - Yi Tan
- Laboratory Animal Center, Chongqing Medical University, Chongqing 400016, China; (L.X.); (T.L.); (Q.L.); (D.T.)
- Correspondence:
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131
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Li S, Zhang P, Xu F, Hu S, Liu J, Tan Y, Tu Z, Sun H, Zhang ZM, He QY, Sun P, Ding K, Li Z. Ynamide Electrophile for the Profiling of Ligandable Carboxyl Residues in Live Cells and the Development of New Covalent Inhibitors. J Med Chem 2022; 65:10408-10418. [PMID: 35880853 DOI: 10.1021/acs.jmedchem.2c00272] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Covalent inhibitors with an electrophilic warhead have received considerable attention due to their remarkable pharmacological properties. However, the electrophilic warhead in covalent drugs is often an α, β-unsaturated amide, and the targets are mainly cysteine or lysine residues. Thus, the development of novel electrophiles that can target other amino acids is highly desirable. Ynamide, a useful and versatile building block, is commonly employed in the construction of various compounds in organic synthesis. The performance of this functional group in a proteome-wide environment has been studied here for the first time, and it has been shown that it can efficiently modify carboxyl residues in situ and in vitro. Upon incorporation of this ynamide warhead into the pharmacophores of kinase inhibitors, the resulting compound showed moderate inhibition against the EGFR L858R mutant but not against EGFR WT. This novel electrophilic group can be used in the development of new types of covalent inhibitors.
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Affiliation(s)
- Shengrong Li
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632
| | - Pengwei Zhang
- Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, Guangdong, China.,Department of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, Guangdong, China
| | - Fang Xu
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632
| | - Shengcao Hu
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632
| | - Jiacong Liu
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632
| | - Yi Tan
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632
| | - Zhengchao Tu
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632
| | - Hongyan Sun
- Department of Chemistry, City University of Hong Kong, Hong Kong 999077, China
| | - Zhi-Min Zhang
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632
| | - Qing-Yu He
- Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, Guangdong, China.,MOE Key Laboratory of Tumor Molecular Biology, Jinan University, Guangzhou 510120, China
| | - Pinghua Sun
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632
| | - Ke Ding
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632
| | - Zhengqiu Li
- School of Pharmacy, Jinan University, 601 Huangpu Avenue West, Guangzhou, China 510632.,MOE Key Laboratory of Tumor Molecular Biology, Jinan University, Guangzhou 510120, China
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132
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Aruffo E, Yuan P, Tan Y, Gatov E, Moyles I, Bélair J, Watmough J, Collier S, Arino J, Zhu H. Mathematical modelling of vaccination rollout and NPIs lifting on COVID-19 transmission with VOC: a case study in Toronto, Canada. BMC Public Health 2022; 22:1349. [PMID: 35841012 PMCID: PMC9283818 DOI: 10.1186/s12889-022-13597-9] [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: 08/12/2021] [Accepted: 05/23/2022] [Indexed: 01/09/2023] Open
Abstract
Background Since December 2020, public health agencies have implemented a variety of vaccination strategies to curb the spread of SARS-CoV-2, along with pre-existing Nonpharmaceutical Interventions (NPIs). Initial strategies focused on vaccinating the elderly to prevent hospitalizations and deaths, but with vaccines becoming available to the broader population, it became important to determine the optimal strategy to enable the safe lifting of NPIs while avoiding virus resurgence. Methods We extended the classic deterministic SIR compartmental disease-transmission model to simulate the lifting of NPIs under different vaccine rollout scenarios. Using case and vaccination data from Toronto, Canada between December 28, 2020, and May 19, 2021, we estimated transmission throughout past stages of NPI escalation/relaxation to compare the impact of lifting NPIs on different dates on cases, hospitalizations, and deaths, given varying degrees of vaccine coverages by 20-year age groups, accounting for waning immunity. Results We found that, once coverage among the elderly is high enough (80% with at least one dose), the main age groups to target are 20–39 and 40–59 years, wherein first-dose coverage of at least 70% by mid-June 2021 is needed to minimize the possibility of resurgence if NPIs are to be lifted in the summer. While a resurgence was observed for every scenario of NPI lifting, we also found that under an optimistic vaccination coverage (70% coverage by mid-June, along with postponing reopening from August 2021 to September 2021) can reduce case counts and severe outcomes by roughly 57% by December 31, 2021. Conclusions Our results suggest that focusing the vaccination strategy on the working-age population can curb the spread of SARS-CoV-2. However, even with high vaccination coverage in adults, increasing contacts and easing protective personal behaviours is not advisable since a resurgence is expected to occur, especially with an earlier reopening. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13597-9.
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Affiliation(s)
- Elena Aruffo
- Centre for Disease Modelling (CDM), York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada
| | - Pei Yuan
- Centre for Disease Modelling (CDM), York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada
| | - Yi Tan
- Centre for Disease Modelling (CDM), York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada
| | - Evgenia Gatov
- Toronto Public Health, City of Toronto, Toronto, ON, Canada
| | - Iain Moyles
- Centre for Disease Modelling (CDM), York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada
| | - Jacques Bélair
- Centre for Disease Modelling (CDM), York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Département de Mathématiques Et de Statistique, Université de Montréal, Montréal, Québec, Canada
| | - James Watmough
- Centre for Disease Modelling (CDM), York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Department of Mathematics and Statistics, University of New Brunswick, Fredericton, New Brunswick, Canada
| | - Sarah Collier
- Toronto Public Health, City of Toronto, Toronto, ON, Canada
| | - Julien Arino
- Centre for Disease Modelling (CDM), York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.,Department of Mathematics, University of Manitoba, Winnipeg, MB, Canada
| | - Huaiping Zhu
- Centre for Disease Modelling (CDM), York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada. .,Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON, M3J1P3, Canada.
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133
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Zhang ZY, Jiang HR, Sun XR, Wang XC, Niu Q, Meng HX, Du JF, Yang GQ, Zhang H, Tan Y. Monitoring mild cognitive impairment of workers exposed to occupational aluminium based on quantitative susceptibility mapping. Clin Radiol 2022; 77:840-847. [PMID: 35817609 DOI: 10.1016/j.crad.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 05/28/2022] [Accepted: 06/08/2022] [Indexed: 11/19/2022]
Abstract
AIM To investigate the diagnostic value of quantitative susceptibility mapping (QSM) in mild cognitive impairment (MCI) of aluminium (Al) workers. MATERIALS AND METHODS The basic data of 53 workers in an Al factory were collected and divided into the MCI group and normal control (NC) group by Montreal Cognitive Assessment (MoCA) scores. All participants were tested for plasma Al concentration and had magnetic resonance imaging (MRI). The QSM values of many areas of the brain were delineated and measured. Independent two-sample t-tests or non-parametric tests were used to compare the parameter values between the two groups. Spearman's correlation analysis was performed between QSM values, MoCA scores, and plasma Al concentration. The receiver operating characteristic curve and z test were performed to assess diagnostic efficacy and the best parameter. RESULTS There was no difference in age and educational level. Plasma Al concentration of the MCI group was higher than that of NC group (p=0.057). QSM values of the left hippocampus, left dentate nucleus, right substantia nigra, and left putamen in MCI group were higher than that of NC group (p<0.05), and the left hippocampus had the best diagnostic efficacy. QSM values correlated negatively with MoCA scores. No correlation was found between QSM values and plasma Al concentration (p>0.05). CONCLUSION QSM might be a neuroimaging marker for the diagnosis of MCI. The left hippocampus showed the best diagnostic efficacy. Plasma Al concentration of the MCI group was higher than that of the NC group. A correlation between QSM and plasma Al concentration was not found.
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Affiliation(s)
- Z Y Zhang
- College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - H R Jiang
- College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - X R Sun
- College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - X C Wang
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China
| | - Q Niu
- School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - H X Meng
- School of Public Health, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - J F Du
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China
| | - G Q Yang
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China
| | - H Zhang
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China.
| | - Y Tan
- Department of Radiology, First Clinical Medical Hospital, Shanxi Medical University, 85 Jiefang South Road, Taiyuan 030001, Shanxi Province, China.
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He H, Tan Y, Yang S, Zhang C, Luo X. Study of Unilateral Extrapedicular and Bilateral Pedicle Approach Percutaneous Kyphoplasty for Osteoporotic Vertebral Compression Fracture. J Coll Physicians Surg Pak 2022; 32:924-927. [PMID: 35795945 DOI: 10.29271/jcpsp.2022.07.924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 11/15/2021] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To determine the efficacy and complication of unilateral extrapedicular approach (UEA) and bilateral pedicle approach (BPA) percutaneous kyphoplasty (PKP) in treating thoracolumbar osteoporotic compression fractures. STUDY DESIGN A descriptive study. PLACE AND DURATION OF STUDY Department of Orthopaedics, Bazhou district people Hospital, Sichuan, China, from December 2016 to March 2021. METHODOLOGY Patients with single-level thoracolumbar osteoporotic compression fractures, who underwent BPA and UEA PKP, were divided into the UEA (n=47) and BPA group (n=42). Index was recorded including operation duration, bone cement volume, intraoperative X-ray times, complication, visual analogue scale (VAS), Cobb angle, Oswestry dysfunction index (ODI), the recurrence rate of the injured vertebra and adjacent vertebral fractures within 12 months after operation. RESULTS There were significant differences in operation duration, bone cement volume, and intraoperative X-ray time between the two groups (p<0.05). VAS, Cobb angle, and ODI significantly improved at 3 days and 12 months after the surgery in each group (p<0.05), but no significant statistical difference was found at each time point between the groups (p>0.05). Bone cement leaked 2 cases in UEA and 8 cases in the BPA group (p<0.05). No pulmonary embolism, neurovascular injury, and infection occurred. No significant difference was found in fracture recurrence rate within 12 months after operation (p>0.05). CONCLUSION Unilateral extrapedicular percutaneous kyphoplasty is an effective and safe way in treating thoracolumbar osteoporotic fractures with relatively less duration of surgery, intraoperative X-ray exposure, bone cement volume, and leakage rate. KEY WORDS Thoracolumbar osteoporotic compression fractures, Unilateral extrapedicular approach, Percutaneous kyphoplasty, Bilateral pedicle approach.
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Affiliation(s)
- Hao He
- Department of Orthopaedics, Bazhou District People Hospital, Sichuan, China
| | - Yi Tan
- Department of Orthopaedics, Bazhou District People Hospital, Sichuan, China
| | - Shixi Yang
- Department of Orthopaedics, Bazhou District People Hospital, Sichuan, China
| | - Chun Zhang
- Department of Orthopaedics, Bazhou District People Hospital, Sichuan, China
| | - Xiaojun Luo
- Department of Orthopaedics, Bazhou District People Hospital, Sichuan, China
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Zhou C, Tan Y, Xu B, Wang Y, Cheang WS. 3,4′,5-Trimethoxy-trans-stilbene Alleviates Endothelial Dysfunction in Diabetic and Obese Mice via Activation of the AMPK/SIRT1/eNOS Pathway. Antioxidants (Basel) 2022; 11:antiox11071286. [PMID: 35883777 PMCID: PMC9311592 DOI: 10.3390/antiox11071286] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 05/30/2022] [Revised: 06/23/2022] [Accepted: 06/26/2022] [Indexed: 12/04/2022] Open
Abstract
3,4′,5-trimethoxy-trans-stilbene (TMS) is a methoxylated derivative of resveratrol. Previous studies showed the vaso-protective effects of resveratrol; nevertheless, research on this derivative is scarce. The current study aimed to explore whether TMS can alleviate endothelial dysfunction in diabetic and obese mice, along with the underlying mechanisms. Thoracic aortas isolated from male C57BL/6J mice and primary cultures of rat aortic endothelial cells were treated with high glucose with or without TMS. High glucose exposure impaired acetylcholine-induced endothelium-dependent relaxations, down-regulated NO bioavailability and the AMP-activated protein kinase (AMPK)/Sirtuin 1 (SIRT1)/endothelial nitric oxide synthase (eNOS) pathway, increased endoplasmic reticulum (ER) stress and oxidative stress, which were reversed by TMS treatment. Moreover, the protective effects of TMS were abolished by Compound C (AMPK inhibitor), and EX527 (SIRT1 inhibitor). The mice were fed with high-fat diet (60% kcal% fat) for 14 weeks to establish a diabetic and obese model, and were orally administered TMS (10 mg/kg/day) in the last 4 weeks. Chronic TMS treatment alleviated endothelial dysfunction via enhancing the AMPK/SIRT1/eNOS pathway and attenuated oxidative stress and ER stress in aortas of diet-induced obese mice. In summary, our study reveals the potent vaso-protective effect of TMS and its therapeutic potential against endothelial dysfunction in metabolic disorders.
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Affiliation(s)
- Chunxiu Zhou
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (C.Z.); (Y.T.); (Y.W.)
| | - Yi Tan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (C.Z.); (Y.T.); (Y.W.)
| | - Baojun Xu
- Food Science and Technology Program, BNU-HKBU United International College, Zhuhai 519087, China;
| | - Yitao Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (C.Z.); (Y.T.); (Y.W.)
| | - Wai-San Cheang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (C.Z.); (Y.T.); (Y.W.)
- Correspondence: ; Tel.: +86-853-8822-4914
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Tan Y, Zhang X, Zhou Y, Miao L, Xu B, Khan H, Wang Y, Yu H, Cheang WS. Panax notoginseng extract and total saponin suppress diet-induced obesity and endoplasmic reticulum stress in epididymal white adipose tissue in mice. Chin Med 2022; 17:75. [PMID: 35718787 PMCID: PMC9208151 DOI: 10.1186/s13020-022-00629-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 06/02/2022] [Indexed: 11/10/2022] Open
Abstract
Background Investigation on protective effects of Panax notoginseng against obesity and its related mechanisms is incomplete. Present study aimed to investigate the potential anti-obesity effect of the total saponins (PNS) and ethanolic extract of P. notoginseng (PNE). Methods Six-week-old male C57BL/6J mice received 45% kcal fat diet for 12 weeks to induce obesity. Oral administration of PNS and PNE at 20 mg/kg/day was applied for the last 4 weeks in the obese mice. Lipid profile was determined by ELISA. Histological examination was performed in liver and fat tissues. Protein levels were measured by Western blot. Results PNS and PNE did not cause weight loss. PNE but not PNS decreased the mass of epididymal and retroperitoneal white adipose tissue, accompanied by a reduction in adipocyte hypertrophy. PNS and PNE improved lipid profile by reducing the concentrations of triglyceride, total cholesterol and low-density lipoprotein cholesterol in plasma or liver samples. PNS and PNE also relieved fatty liver in obese mice. PNS and PNE inhibited expression and phosphorylation of endoplasmic reticulum (ER) stress-responsive proteins in hypertrophic adipose tissue. Conclusions PNS and PNE can regulate ER stress-mediated apoptosis and inflammation to alleviate obesity.
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Affiliation(s)
- Yi Tan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Xutao Zhang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Yan Zhou
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Lingchao Miao
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Baojun Xu
- Food Science and Technology Program, BNU-HKBU United International College, Guangdong, 519087, Zhuhai, China
| | - Haroon Khan
- Department of Pharmacy, Abdul Wali Khan University, Mardan, 23200, Pakistan
| | - Yitao Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Hua Yu
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Wai San Cheang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China.
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He T, Guo H, Xia L, Shen X, Huang Y, Wu X, Jiang X, Xu Y, Tan Y, Zhang Y, Tan D. Alterations of RNA Modification in Mouse Germ Cell-2 Spermatids Under Hypoxic Stress. Front Mol Biosci 2022; 9:871737. [PMID: 35775084 PMCID: PMC9237606 DOI: 10.3389/fmolb.2022.871737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 05/04/2022] [Indexed: 11/13/2022] Open
Abstract
Hypoxia is a known stress factor in mammals and has been shown to potentially impair male fertility, which manifests as spermatogenic dysfunction and decreased semen quality. Studies have shown that RNA modifications, the novel post-transcriptional regulators, are involved in spermatogenesis, and hypoxia-induced alterations in RNA modification in testes and sperm cells may be associated with impaired spermatogenesis in mice. However, the molecular mechanisms via which RNA modifications influence spermatogenesis under hypoxic stress conditions are unclear. In this study, we generated a mouse Germ Cell-2 spermatid (GC-2spd) hypoxia model by culturing cells in a 1% O2 incubator for 48 h or treating them with CoCl2 for 24 h. The hypoxia treatment significantly inhibited proliferation and induced apoptosis in GC-2spd cells. The RNA modification signatures of total RNAs (2 types) and differentially sized RNA fragments (7 types of approximately 80 nt-sized tRNAs; 9 types of 17–50 nt-sized sncRNAs) were altered, and tRNA stability was partially affected. Moreover, the expression profiles of sncRNAs, such as microRNAs, tsRNAs, rsRNAs, and ysRNAs, were significantly regulated, and this might be related to the alterations in RNA modification and subsequent transcriptomic changes. We comprehensively analyzed alterations in RNA modification signatures in total RNAs, tRNAs (approximately 80 nt), and small RNAs (17–50 nt) as well as the expression profiles of sncRNAs and transcriptomes in hypoxia-treated GC-2spd cells; our data suggested that RNA modifications may be involved in cellular responses under hypoxic stress conditions and could provide a basis for a better understanding of the molecular mechanisms underlying male infertility.
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Affiliation(s)
- Tong He
- Laboratory Animal Center, Chongqing Medical University, Chongqing, China
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Huanping Guo
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Lin Xia
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Xipeng Shen
- Laboratory Animal Center, Chongqing Medical University, Chongqing, China
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Yun Huang
- Laboratory Animal Center, Chongqing Medical University, Chongqing, China
| | - Xiao Wu
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Xuelin Jiang
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Yinying Xu
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Yi Tan
- Laboratory Animal Center, Chongqing Medical University, Chongqing, China
| | - Yunfang Zhang
- Medical Center of Hematology, Xinqiao Hospital, Army Medical University, Chongqing, China
- Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, China
- *Correspondence: Yunfang Zhang, ; Dongmei Tan,
| | - Dongmei Tan
- Laboratory Animal Center, Chongqing Medical University, Chongqing, China
- *Correspondence: Yunfang Zhang, ; Dongmei Tan,
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Yan W, Chen J, Tan Y, He R, Yan S. Surface Dynamic Damage Prediction Model of Horizontal Coal Seam Based on the Idea of Wave Lossless Propagation. Int J Environ Res Public Health 2022; 19:ijerph19116862. [PMID: 35682444 PMCID: PMC9180210 DOI: 10.3390/ijerph19116862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/01/2022] [Accepted: 06/02/2022] [Indexed: 02/01/2023]
Abstract
According to traditional concepts, the movement of overlying strata and surface damage caused by coal mining in horizontal coal seams are symmetrical in terms of spatial distribution. However, in a lot of engineering practices, this symmetry has not been discovered. We often use the symmetry function to establish the profile prediction function of the surface damage, which results in a large difference between the prediction result and the actual situation. To solve this problem, this paper takes subsidence velocity as an example. Firstly, the spatial distribution functions of subsidence velocity on both sides were deduced theoretically. Through comparison, it is found that the change rate of the spatial distribution curve of the coal pillar side subsidence velocity is smoother than that of the goaf side and the subsidence velocity curves are skewed to the left. Secondly, based on the idea of lossless propagation of harmonic waves and idealizing the propagation environment, the spatial propagation relationship of surface subsidence velocity in the time domain is established. Then, the Box–Cox transform function is introduced to improve the normal distribution probability density function, and a new dynamic subsidence prediction model based on the Box–Cox transformation is obtained, which is suitable for the full mining stage. The model is tested by practical cases, the prediction accuracy is better than 7%, and the prediction results can meet the needs of engineering prediction accuracy (10%). The results of this research can enrich the existing subsidence prediction theory and provide theoretical and technical support for the prediction of dynamic surface damage caused by similar mining.
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Affiliation(s)
- Weitao Yan
- School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China; (W.Y.); (R.H.); (S.Y.)
- State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo 454003, China
| | - Junjie Chen
- State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo 454003, China
- Correspondence: (J.C.); (Y.T.)
| | - Yi Tan
- State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization, Henan Polytechnic University, Jiaozuo 454003, China
- Correspondence: (J.C.); (Y.T.)
| | - Rong He
- School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China; (W.Y.); (R.H.); (S.Y.)
| | - Shaoge Yan
- School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China; (W.Y.); (R.H.); (S.Y.)
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Aletaha D, Westhovens R, Atsumi T, Tan Y, Pechonkina A, Gong Q, Rajendran V, Strengholt S, Burmester GR. POS0678 CLINICAL OUTCOMES OF METHOTREXATE (MTX)-NAIVE RHEUMATOID ARTHRITIS (RA) PATIENTS (pts) ON FILGOTINIB (FIL) LONG-TERM EXTENSION (LTE) TRIAL INITIALLY ON FIL OR MTX DURING THE PHASE 3 PARENT STUDY (PS). Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundThe preferential Janus kinase-1 inhibitor FIL is approved for treatment of moderate to severe active RA in Europe and Japan.ObjectivesIn this post hoc, exploratory analysis, efficacy and safety of long-term treatment with FIL (± MTX) were assessed in MTX-naïve pts treated with FIL or MTX in the Phase 3 PS (NCT02886728).1MethodsPts received FIL 200 mg (FIL200)+MTX, FIL 100 mg (FIL100)+MTX, FIL200 alone, or MTX alone up to 52 W in PS.1 Those completing PS on study drug could enter LTE (NCT03025308; data cutoff: June 1, 2020). MTX completers were rerandomized, blinded, to FIL200 or FIL100; pts on FIL in PS remained on the same dose in LTE. MTX was washed out for 4 W at LTE baseline (BL); pts could (re)start MTX and/or other conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) ≥4 W after LTE first dosing.1 Efficacy data to LTE W48 and safety data are reported.ResultsAs of June 1, 2020, 439/492 (89%) and 144/169 (85%) pts who entered LTE from PS FIL200 and PS FIL100 groups, respectively, remained on LTE study treatment; of those rerandomized from MTX, 131/148 (89%) FIL200 and 133/151 (88%) FIL100 pts remained on study treatment. LTE BL characteristics were similar between FIL200 and FIL100 groups. After MTX washout, 17% of FIL200 and 23% of FIL100 pts (re)started MTX (at clinical judgment). ACR20/50/70 response rates among pts from PS FIL arms decreased modestly from LTE BL to W12 then stabilized. Among pts who switched from PS MTX to LTE FIL, response rates remained stable or improved to approach those of PS FIL pts by W48 (Figure 1). Similar trends were seen in DAS28(CRP) and CDAI. Treatment-emergent adverse events (TEAEs), Grade ≥3 AEs, serious AEs, and infections were largely comparable across groups and did not increase after MTX to FIL switch. There were 6 deaths, all among PS FIL200 pts (Table 1).Table 1.EAIRs of TEAEs through June 2020EAIR (95% CI)FIL200+MTX →FIL200 →FIL100+MTX →MTX →MTX →FIL200 LTEFIL200 LTEFIL100 LTEFIL200 LTEFIL100 LTEn=325n=167n=169n=148n=151PYE=474.4PYE=232.5PYE=236.4PYE=213.4PYE=215.4TEAE49.7 (43.8, 56.5)46.9 (38.9, 56.6)49.9 (41.7, 59.8)50.6 (41.9, 61.1)46.4 (38.2, 56.5)TEAE Grade ≥37.2 (5.1, 10.0)6.5 (3.9, 10.7)10.2 (6.8, 15.1)7.0 (4.2, 11.7)7.0 (4.2, 11.6)TE serious AE5.9 (4.1, 8.5)6.0 (3.6, 10.2)8.9 (5.8, 13.6)6.6 (3.9, 11.1)6.5 (3.9, 11.0)Death1.1 (0.3, 2.5)0.4 (0.1, 3.1)0 (0, 1.6)0 (0, 1.7)0 (0, 1.7)Infections28.5 (24.0, 33.7)29.7 (23.4, 37.6)27.5 (21.6, 35.1)28.6 (22.2, 36.7)27.4 (21.2, 35.4)Serious infections1.1 (0.4, 2.5)3.0 (1.4, 6.3)2.5 (1.1, 5.7)1.9 (0.7, 5.0)1.9 (0.7, 4.9)Opportunistic infections0.2 (0, 1.5)0 (0, 1.6)0.8 (0.2, 3.4)0 (0, 1.7)0 (0, 1.7)Herpes zoster0.8 (0.3, 2.2)1.7 (0.6, 4.6)0.8 (0.2, 3.4)1.9 (0.7, 5.0)0.9 (0.2, 3.7)MACE (adjudicated)0.6 (0.1, 1.8)0.9 (0.2, 3.4)0 (0, 1.6)0 (0, 1.7)0 (0, 1.7)VTE (adjudicated for DVT/PE)0.2 (0, 1.2)0.4 (0.1, 3.1)0 (0, 1.6)0 (0, 1.7)0 (0, 1.7)Malignancies (excluding NMSC)0.6 (0.2, 2.0)0 (0, 1.6)1.7 (0.6, 4.5)0.5 (0, 2.6)0 (0, 1.7)NMSC0.6 (0.2, 2.0)0.4 (0.1, 3.1)0.8 (0.2, 3.4)0.5 (0, 2.6)0 (0, 1.7)DVT, deep vein thrombosis; EAIRs, exposure-adjusted incidence rates (per 100 patient-years of exposure); MACE, major adverse cardiovascular event; NMSC, nonmelanoma skin cancer; PE, pulmonary embolism; VTE, venous thromboembolismFigure 1.ConclusionOverall, response rates improved from LTE BL to W48 for pts switched from PS MTX to FIL and decreased modestly for PS FIL pts. Rates of AEs of special interest were generally low and tended to be higher in pts maintained on FIL from PS. Safety findings in this subpopulation were comparable with the PS through W521 and with a 7-trial integrated safety analysis.2 Limitations: the LTE was not formally randomized at BL, the groups were of unequal size, and the switch from MTX to FIL for LTE was by design rather than based on disease activity.References[1]Westhovens R et al. Ann Rheum Dis 2021;80:727–38.[2]Winthrop K et al. Arthritis Rheumatol 2020;72(suppl 10): abstract 0229.AcknowledgementsFunding for the trials was provided by Galapagos NV and Gilead Sciences, Inc. The sponsors participated in the planning, execution, and interpretation of the research. This study was funded by Gilead Sciences, Inc., Foster City, CA. Medical writing support was provided by Gregory Bezkorovainy, MA, of AlphaScientia, LLC, San Francisco, CA; and funded by Gilead Sciences, Inc., Foster City, CA. Funding for this analysis was provided by Gilead Sciences, Inc.Disclosure of InterestsDaniel Aletaha Speakers bureau: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Medac, Merck, Merck Sharp & Dohme, Novartis, Pfizer, Roche, Sandoz, Sanofi/Genzyme, and UCB, Consultant of: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Medac, Merck, Novartis, Pfizer, Roche, Sandoz, and Sanofi/Genzyme, Grant/research support from: AbbVie, Merck Sharp & Dohme, Novartis, and Roche, Rene Westhovens Consultant of: Celltrion, Galapagos, and Gilead Sciences, Inc., Grant/research support from: Celltrion, Galapagos, and Gilead Sciences, Inc., Tatsuya Atsumi Speakers bureau: AbbVie Inc., Astellas Pharma Inc., Bristol Myers Squibb Co., Chugai Pharmaceutical Co., Ltd, Daiichi Sankyo Co., Ltd, Eisai Co. Ltd, Eli Lilly Japan K.K., Mitsubishi Tanabe Pharma Co., Otsuka Pharmaceutical Co., Ltd, Pfizer Inc., Takeda Pharmaceutical Co., Ltd, UCB Japan Co. Ltd, Consultant of: AbbVie Inc., Chugai Pharmaceutical Co., Ltd, Daiichi Sankyo Co., Ltd, Eli Lilly Japan K.K., Gilead Sciences, Inc., Pfizer Inc., UCB Japan Co. Ltd, Grant/research support from: AbbVie Inc., Alexion Pharmaceuticals, Inc., Astellas Pharma Inc., Bristol Myers Squibb Co., Chugai Pharmaceutical Co., Ltd, Daiichi Sankyo Co., Ltd, Eli Lilly Japan K.K., Mitsubishi Tanabe Pharma Co., Pfizer Inc., YingMeei Tan Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Qi Gong Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Vijay Rajendran Shareholder of: Galapagos NV, Employee of: Galapagos NV, Sander Strengholt Shareholder of: Galapagos BV, Employee of: Galapagos BV, Gerd Rüdiger Burmester Speakers bureau: AbbVie, Eli Lilly, Gilead Sciences, Inc. and Pfizer, Consultant of: AbbVie, Eli Lilly, Gilead Sciences, Inc. and Pfizer
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Buch MH, Takeuchi T, Rajendran V, Gottenberg JE, Pechonkina A, Tan Y, Gong Q, Van Beneden K, Caporali R. AB0394 CLINICAL OUTCOMES UP TO WEEK 48 OF ONGOING FILGOTINIB (FIL) RHEUMATOID ARTHRITIS (RA) LONG-TERM EXTENSION (LTE) TRIAL OF BIOLOGIC DISEASE-MODIFYING ANTIRHEUMATIC DRUG (bDMARD) INADEQUATE RESPONDERS (IR) INITIALLY ON FIL OR PLACEBO IN A PHASE 3 PARENT STUDY (PS). Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe preferential Janus kinase-1 inhibitor FIL is approved for treatment of moderate to severe active RA in Europe and Japan.ObjectivesEfficacy and safety of FIL were assessed in patients (pts) with IR to bDMARDs in a LTE trial (NCT03025308) enrolled from a Phase 3 PS (NCT02873936).1MethodsbDMARD-IR pts received FIL 200 mg (FIL200), FIL 100 mg (FIL100), or placebo (PBO), all with stable conventional synthetic (cs)DMARDs up to 24 weeks (W). At W14 of the PS, pts with IR to FIL or PBO (<20% improvement in swollen [66] and tender [68] joint counts) switched to standard of care (SOC; investigator’s choice of treatment). Pts completing the PS on FIL, PBO, or SOC could enter the LTE. PS FIL pts were maintained, blinded, on their FIL dose; PS PBO and PS SOC pts were rerandomized, blinded, to FIL200 or FIL100. Efficacy data to LTE W48 and safety data to data cutoff (June 1, 2020) are reported.ResultsThe PS included 147, 153, and 148 pts on FIL200, FIL100, and PBO. Pts continuing on LTE FIL200 and FIL100 at data cutoff: 80/121 (66%) and 76/110 (69%) from PS FIL200 and FIL100; 35/47 (75%) and 32/46 (70%) from PS PBO, and 13/23 (57%) and 13/22 (59%) from PS SOC. LTE baseline (BL) characteristics were similar in FIL200 and FIL100 pts. During LTE, PS FIL ACR20/50/70 response rates decreased modestly by W48 (Figure 1). Among PS PBO pts, response rates were lower at LTE BL, reaching similar levels to PS FIL pts by W48; rates increased to W48 in PS SOC pts on either FIL dose but not to levels of other groups. Percentages of pts attaining DAS28(CRP) ≤3.2, DAS28(CRP) <2.6, CDAI ≤10, and CDAI ≤2.8 were maintained up to W48 for FIL/FIL pts. PBO/FIL and SOC/FIL pts showed similar patterns to ACR responses (Figure 1). Exposure-adjusted incidence rates (EAIRs)/100 pt-years of exposure for treatment-emergent adverse events (TEAE), serious AEs, and serious infection were higher in SOC/FIL pts vs FIL/FIL or PBO/FIL pts, but samples were small and confidence intervals overlapped. There were 5 deaths (Table 1).Table 1.EAIRs of TEAEs in LTE, as of June 1, 2020EAIR (95% CI)FIL200+csD → FIL200+csD n=121PYE 228.4PBO+csD → FIL200+csD n=47PYE 98.1SOC+csD → FIL200+csD n=23PYE 42.1FIL100+csD → FIL100+csD n=110PYE 223.3PBO+csD → FIL100+csD n=46PYE 91.1SOC+csD → FIL100+csD n=22PYE 38.2TEAE46.9 (38.8, 56.6)38.7 (28.2, 53.2)52.2 (34.4, 79.3)40.3 (32.8, 49.5)40.6 (29.4, 56.1)49.8 (31.8, 78.0)TEAE Grade ≥310.5 (7.0, 15.7)10.2 (5.5, 18.9)19.0 (9.5, 38.0)10.3 (6.8, 15.5)13.2 (7.5, 23.2)18.3 (8.7, 38.5)TE serious AE12.3 (8.5, 17.8)12.2 (6.9, 21.5)21.4 (11.1, 41.1)8.1 (5.1, 12.8)13.2 (7.5, 23.2)21.0 (10.5, 41.9)Death1.3 (0.4, 4.1)1.0 (0, 5.7)0 (0, 8.8)0.4 (0.1, 3.2)0 (0, 4.0)0 (0, 9.7)TE infections34.2 (27.4, 42.6)22.4 (14.8, 34.1)35.6 (21.5, 59.1)22.4 (17.0, 29.5)26.3 (17.7, 39.3)39.3 (23.7, 65.2)TE serious infections3.5 (1.8, 7.0)2.0 (0.5, 8.2)7.1 (2.3, 22.1)0.9 (0.2, 3.6)2.2 (0.5, 8.8)7.9 (2.5, 24.4)Opportunistic infections0 (0, 1.6)0 (0, 3.8)0 (0, 8.8)0 (0, 1.7)0 (0, 4.0)0 (0, 9.7)TE herpes zoster2.2 (0.7, 5.1)1.0 (0.1, 7.2)0 (0, 8.8)0 (0, 1.7)2.2 (0.5, 8.8)2.6 (0.1, 14.6)TE MACE (adjudicated)1.3 (0.4, 4.1)1.0 (0.1, 7.2)0 (0, 8.8)0.9 (0.2, 3.6)1.1 (0.2, 7.8)0 (0, 9.7)TE DVT/PE (adjudicated)0.9 (0.2, 3.5)0 (0, 3.8)2.4 (0.1, 13.2)0.4 (0.1, 3.2)0 (0, 4.0)0 (0, 9.7)Malignancies (excluding NMSC)1.3 (0.4, 4.1)3.1 (1.0, 9.5)4.7 (0.6, 17.2)1.8 (0.7, 4.8)3.3 (1.1, 10.2)0 (0, 9.7)NMSC0 (0, 1.6)0 (0, 3.8)4.7 (0.6, 17.2)0 (0, 1.7)0 (0, 4.0)0 (0, 9.7)DVT, deep vein thrombosis; MACE, major adverse cardiovascular event; NMSC, nonmelanoma skin cancer; PE, pulmonary embolism; TE, treatment-emergentConclusionEfficacy was mostly maintained in PS FIL pts up to W48. Response among PS PBO and SOC pts increased from BL to W48, but response in PS SOC pts continued to be lower than in other groups; these pts may represent a refractory population. FIL safety was largely consistent between PS and LTE.References[1]Genovese MC et al. JAMA 2019;322:315–25.AcknowledgementsThis study was funded by Gilead Sciences, Inc., Foster City, CA. Medical writing support was provided by Claudine Bitel, PhD, of AlphaScientia, LLC, San Francisco, CA; and funded by Gilead Sciences, Inc., Foster City, CA.Disclosure of InterestsMaya H Buch Speakers bureau: AbbVie, Consultant of: AbbVie, Galapagos, Gilead, and Pfizer, Grant/research support from: Gilead and Pfizer, Tsutomu Takeuchi Speakers bureau: AbbVie, AYUMI, Bristol Myers Squibb, Chugai, Daiichi Sankyo, Dainippon Sumitomo, Eisai, Eli Lilly Japan, Gilead Sciences, Mitsubishi-Tanabe, Novartis, Pfizer Japan, and Sanofi, Consultant of: Astellas, Chugai, and Eli Lilly Japan, Grant/research support from: AbbVie, Asahi Kasei, Astellas, Chugai, Daiichi Sankyo, Eisai, Mitsubishi-Tanabe, Shionogi, Takeda, and UCB Japan, Vijay Rajendran Shareholder of: Galapagos, Employee of: Galapagos, Jacques-Eric Gottenberg Speakers bureau: AbbVie, Eli Lilly and Co., Galapagos, Gilead Sciences, Inc., Roche, Sanofi Genzyme, and UCB, Consultant of: Bristol Myers Squibb, Sanofi Genzyme, and UCB, Grant/research support from: Bristol Myers Squibb and Pfizer, Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., YingMeei Tan Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Qi Gong Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Katrien Van Beneden Shareholder of: Galapagos, Employee of: Galapagos, Roberto Caporali Speakers bureau: AbbVie, Amgen, BMS, Celltrion, Galapagos, Janssen, Lilly, MSD, Novartis, Pfizer, Sandoz, and UCB, Consultant of: AbbVie, Amgen, BMS, Celltrion, Galapagos, Janssen, Lilly, Fresenius-Kabi, MSD, Novartis, Pfizer, Roche, Sandoz, and UCB
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Tan Y, Zhou X, Peng Y, Zheng Z, Gao X, Ma Y, Chen S, Cui S, Fan B, Chen Q. Effects of phosphorus-containing material application on soil cadmium bioavailability: a meta-analysis. Environ Sci Pollut Res Int 2022; 29:42372-42383. [PMID: 35359209 DOI: 10.1007/s11356-022-19909-1] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 03/22/2022] [Indexed: 06/14/2023]
Abstract
Diverse phosphorus-containing materials (PCMs) were widely applied in remediation of cadmium-contaminated soils, and their effects on the change of soil cadmium availability (SCA) varied with their physicochemical characteristics and environmental conditions. Investigation on the effect of various PCMs on reducing SCA under different conditions favors the safe utilization of Cd-contaminated soil. Herein, a meta-analysis of literature published before August 2021 was carried out. A total of 342 independent observations were obtained from 42 published papers which included 9 factors that may affect the passivation effect of fertilizer content: phosphorus type, phosphorus application rate, soil pH, soil CEC, soil organic matter, experiment type, and time. Results of boosted regression tree analysis showed that the application rate is the most important factor contributing to the SCA, followed by soil pH and duration. Results of this meta-analysis showed that medium P input shows potential for reactivating the SCA. Under alkaline soil conditions and high soil CEC values, PCM input can better deactivate SCA. In addition, the difference from the previous understanding is that under the medium input of phosphorus-containing fertilizer (90-500 mg P∙kg-1), it will significantly increase the content of available cadmium in soil. In addition, future recommendation for exploring novel PCMs and suitable strategies for controlling the SCA though PCM application were also proposed. Our works may promote the interpretation of the interference factors on the SCA changes and fill the research gaps on utilization of PCM in Cd-polluted soil remediation.
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Affiliation(s)
- Yi Tan
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Xue Zhou
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Yutao Peng
- School of Agriculture, Sun Yat-Sen University, Shenzhen, 523758, Guangdong, China
| | - Zijing Zheng
- School of Agriculture, Sun Yat-Sen University, Shenzhen, 523758, Guangdong, China
| | - Xing Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing, 100012, China
| | - Yan Ma
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Shuo Chen
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Shihao Cui
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Beibei Fan
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Qing Chen
- Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China.
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Zhang H, You S, Zhang M, Chen A, Hu Z, Liu Y, Liu D, Yuan P, Tan Y. Empirical Study of Monthly Economic Losses Assessments for "Standard Unit Lockdown" Due to COVID-19. Front Public Health 2022; 10:859751. [PMID: 35619804 PMCID: PMC9129268 DOI: 10.3389/fpubh.2022.859751] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background The pandemic of COVID-19 has been shaping economic developments of the world. From the standpoint of government measures to prevent and control the epidemic, the lockdown was widely used. It is essential to access the economic losses in a lockdown environment which will provide government administration with a necessary reference for decision making in controlling the epidemic. Methods We introduce the concept of "standard unit incident" and an economic losses assessment methodology for both the standard and the assessed area. We build a "standard unit lockdown" economic losses assessment system and indicators to estimate the economic losses for the monthly lockdown. Using the comprehensive assessment system, the loss infected coefficient of monthly economic losses during lockdown in the 40 countries has been calculated to assess the economic losses by the entropy weighting method (EWM) with data from the CSMAR database and CDC website. Results We observe that countries in North America suffered the most significant economic losses due to the epidemic, followed by South America and Europe, Asia and Africa, and Oceania and Antarctica suffered relatively minor economic losses. The top 10 countries for monthly economic losses during lockdown were the United States, India, Brazil, France, Turkey, Russia, the United Kingdom, Italy, Spain, and Germany. The United States suffered the greatest monthly economic losses under lockdown ($65.3 billion), roughly 1.5 times that of China, while Germany suffered the least ($56.4 billion), roughly 1.3 times that of China. Conclusion Lockdown as a control and mitigation strategy has great impact on the economic development and causes huge economic losses. The economic impact due to the pandemic has varied widely among the 40 countries. It will be important to conduct further studies to compare and understand the differences and the reasons behind.
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Affiliation(s)
- Houli Zhang
- School of Economics and Management, Wuhan University, Wuhan, China
| | - Shibing You
- School of Economics and Management, Wuhan University, Wuhan, China
| | - Miao Zhang
- School of Economics and Management, Wuhan University, Wuhan, China
| | - Anqi Chen
- School of Economics and Management, Wuhan University, Wuhan, China
| | - Zengyun Hu
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Ying Liu
- School of Economics and Management, Wuhan University, Wuhan, China
| | - Difei Liu
- School of Economics and Management, Wuhan University, Wuhan, China
| | - Pei Yuan
- LAMPS and Centre for Diseases Modelling (CDM), York University, Toronto, ON, Canada.,Department of Mathematics and Statistics, York University, Toronto, ON, Canada
| | - Yi Tan
- LAMPS and Centre for Diseases Modelling (CDM), York University, Toronto, ON, Canada.,Department of Mathematics and Statistics, York University, Toronto, ON, Canada
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143
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Tan Y, Miao L, Xiao J, Cheang WS. 3,3′,4,5′-Tetramethoxy-trans-stilbene Improves Insulin Resistance by Activating the IRS/PI3K/Akt Pathway and Inhibiting Oxidative Stress. Curr Issues Mol Biol 2022; 44:2175-2185. [PMID: 35678676 PMCID: PMC9164067 DOI: 10.3390/cimb44050147] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/08/2022] [Accepted: 05/10/2022] [Indexed: 11/29/2022] Open
Abstract
The potential anti-diabetic effect of resveratrol derivative, 3,3′,4,5′-tetramethoxy-trans-stilbene (3,3′,4,5′-TMS) and its underlying mechanism in high glucose (HG) and dexamethasone (DXMS)-stimulated insulin-resistant HepG2 cells (IR-HepG2) were investigated. 3,3′,4,5′-TMS did not reduce the cell viability of IR-HepG2 cells at the concentrations of 0.5–10 µM. 3,3′,4,5′-TMS increased the potential of glucose consumption and glycogen synthesis in a concentration-dependent manner in IR-HepG2 cells. 3,3′,4,5′-TMS ameliorated insulin resistance by enhancing the phosphorylation of glycogen synthase kinase 3 beta (GSK3β), inhibiting phosphorylation of insulin receptor substrate-1 (IRS-1), and activating phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt) pathway in IR-HepG2 cells. Furthermore, 3,3′,4,5′-TMS significantly suppressed levels of reactive oxygen species (ROS) with up-regulation of nuclear factor erythroid 2-related factor 2 (Nrf2) expression. To conclude, the beneficial effect of 3,3′,4,5′-TMS against insulin resistance to increase glucose consumption and glycogen synthesis was mediated through activation of IRS/PI3K/Akt signaling pathways in the IR-HepG2 cells, accomplished with anti-oxidative activity through up-regulation of Nrf2.
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Affiliation(s)
- Yi Tan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (Y.T.); (L.M.)
| | - Lingchao Miao
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (Y.T.); (L.M.)
| | - Jianbo Xiao
- Department of Analytical Chemistry and Food Science, Faculty of Food Science and Technology, University of Vigo, 36310 Vigo, Spain
- Correspondence: (J.X.); (W.S.C.); Tel.: +853-8822-4914 (W.S.C.)
| | - Wai San Cheang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China; (Y.T.); (L.M.)
- Correspondence: (J.X.); (W.S.C.); Tel.: +853-8822-4914 (W.S.C.)
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Wang K, Zhong X, Zhang Y, Li P, Tan Y, Zhang Y, Zhang Z, Zhu J, Shodievich KM, Liang J, Wang H. Economic synthesis of sub-micron brick-like Al-MOF with designed pore distribution for lithium-ion battery anodes with high initial Coulombic efficiency and cycle stability. Dalton Trans 2022; 51:6787-6794. [PMID: 35420097 DOI: 10.1039/d2dt00519k] [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: 11/21/2022]
Abstract
Metal-organic frameworks (MOFs) have exhibited great potential for lithium-ion batteries (LIBs). However, to date, it is difficult to fabricate MOF electrode materials with regular shape and rational pore distribution by an economic approach, and the currently achieved MOF electrode materials usually have a relatively low initial Coulombic efficiency and poor cycle stability, which is not satisfactory for practical application. In this study, by using the recycled AlCl3 solution after dealloying treatment of Al-Si alloy, an evenly distributed brick-like Al-MOF with sub-micron size and rational pore distribution was synthesized for the first time. Because of the larger size and more macropores, the as-prepared Al-MOF electrode exhibits superior initial Coulombic efficiency as high as 96.6% for LIB anodes. Moreover, on account of the irregular crystal defects at the edge of the designed macropores, which result from unstable connection between the inorganic nodes (AlO6 octahedral cluster) and the organic linkers (PTA) and result in the formation of spherical nano-sized particles with better structural stability, the electrode materials show excellent cycle stability with discharge attenuation rate of 0.051%. The electrochemical performance considerably outperforms that of reported Al-MOF anodes and some representative MOF anodes in other studies. The robust realization of high initial Coulombic efficiency and cycle stability defines a critical step to capturing the full potential of MOF electrode materials in practical LIBs.
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Affiliation(s)
- Kai Wang
- School of Energy and Power Engineering, North University of China, Taiyuan 030051, China.,School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China
| | - Xiaobin Zhong
- School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
| | - Yaohui Zhang
- School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
| | - Pengting Li
- School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China
| | - Yi Tan
- School of Materials Science and Engineering, Dalian University of Technology, Dalian 116024, China
| | - Yangang Zhang
- School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
| | - Zhiwen Zhang
- School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
| | - Jian Zhu
- College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China
| | - Kurbanov Mirtemir Shodievich
- Arifov Institute of Ion-Plasma and Laser Technologies, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Junfei Liang
- School of Energy and Power Engineering, North University of China, Taiyuan 030051, China
| | - Hua Wang
- School of Chemistry, Beihang University, Beijing 100191, P. R. China
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Yang G, Li J, Peng Y, Shen B, Li Y, Liu L, Wang C, Xu Y, Lin S, Zhang S, Tan Y, Zhang H, Zeng X, Li Q, Lu G. Ginsenoside Rb1 attenuates methamphetamine (METH)-induced neurotoxicity through the NR2B/ERK/CREB/BDNF signalings in vitro and in vivo models. J Ginseng Res 2022; 46:426-434. [PMID: 35600772 PMCID: PMC9120644 DOI: 10.1016/j.jgr.2021.07.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/09/2021] [Accepted: 07/09/2021] [Indexed: 01/21/2023] Open
Abstract
Aim This study investigates the effects of ginsenoside Rb1 (GsRb1) on methamphetamine (METH)-induced toxicity in SH-SY5Y neuroblastoma cells and METH-induced conditioned place preference (CPP) in adult Sprague-Dawley rats. It also examines whether GsRb1 can regulate these effects through the NR2B/ERK/CREB/BDNF signaling pathways. Methods SH-SY5Y cells were pretreated with GsRb1 (20 μM and 40 μM) for 1 h, followed by METH treatment (2 mM) for 24 h. Rats were treated with METH (2 mg/kg) or saline on alternating days for 10 days to allow CPP to be examined. GsRb1 (5, 10, and 20 mg/kg) was injected intraperitoneally 1 h before METH or saline. Western blot was used to examine the protein expression of NR2B, ERK, P-ERK, CREB, P-CREB, and BDNF in the SH-SY5Y cells and the rats' hippocampus, nucleus accumbens (NAc), and prefrontal cortex (PFC). Results METH dose-dependently reduced the viability of SH-SY5Y cells. Pretreatment of cells with 40 μM of GsRb1 increased cell viability and reduced the expression of METH-induced NR2B, p-ERK, p-CREB and BDNF. GsRb1 also attenuated the expression of METH CPP in a dose-dependent manner in rats. Further, GsRb1 dose-dependently reduced the expression of METH-induced NR2B, p-ERK, p-CREB, and BDNF in the PFC, hippocampus, and NAc of rats. Conclusion GsRb1 regulated METH-induced neurotoxicity in vitro and METH-induced CPP through the NR2B/ERK/CREB/BDNF regulatory pathway. GsRb1 could be a therapeutic target for treating METH-induced neurotoxicity or METH addiction.
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Affiliation(s)
- Genmeng Yang
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Juan Li
- School of Basic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Yanxia Peng
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Baoyu Shen
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Yuanyuan Li
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Liu Liu
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Chan Wang
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Yue Xu
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Shucheng Lin
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Shuwei Zhang
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Yi Tan
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Huijie Zhang
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Xiaofeng Zeng
- NHC Key Laboratory of Drug Addiction Medicine, Kunming Medical University, Kunming, Yunnan Province, China.,School of Forensic Medicine, Kunming Medical University, Kunming, Yunnan Province, China
| | - Qi Li
- SDIVF R&D Centre, Hong Kong, China
| | - Gang Lu
- CUHK-SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, the Chinese University of Hong Kong, Hong Kong, China
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Tan Y, Souza-Moreira L, Wang J, Salkhordeh M, Florian M, Wang Y, McIntyre L, Stewart D, Mei S. Mesenchymal Stem/Stromal Cells: CHARACTERIZATION OF THE SYSTEMIC IMMUNE LANDSCAPE IN SEPSIS REVEALS TIME-DEPENDENT MODULATION OF THE INNATE IMMUNE SYSTEM BY MSCS. Cytotherapy 2022. [DOI: 10.1016/s1465-3249(22)00187-6] [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: 11/15/2022]
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Wang J, Jiang L, Xu Y, He W, Zhang C, Bi F, Tan Y, Ning C. Epidemiology of influenza virus reinfection in Guangxi, China: a retrospective analysis of a nine-year influenza surveillance data. Int J Infect Dis 2022; 120:135-141. [PMID: 35477049 DOI: 10.1016/j.ijid.2022.04.045] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/07/2022] [Accepted: 04/20/2022] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND Epidemiological characteristics profile of the reinfection of the influenza virus has not been well described. METHODS Included all influenza cases of Guangxi, China from January 2011 to December 2019 recorded in National Notifiable Infectious Disease Reporting Information System (NIDRIS) within 24 hours after diagnosis. RESULTS A total of 53,605.6 person-months and the median time of 8.7 months were observed for reinfection. The median age at the first influenza virus infection was 4.5 (IQR=2.0-7.5) years. The cumulative reinfection incidence was 2% at 6-month, 4% at 12-month, 5% at 24-month, and 7% after 59-month. Living in the rural area (HR=1.37 [95%CI, 1.29-1.45]), age ≤6 years (HR=11.43 [95%CI, 9.47-13.80]) were independent risk factors associated with influenza reinfection. Among 49 patients experiencing twice laboratory tests, 32 patients (65.3%) were with different virus types. The interval between two consecutive laboratory-confirmed episodes of the four groups differed (p=0.148), as the maximum was 72.9 months, and the minimum was 1.2 months. CONCLUSIONS The reinfection of the influenza virus in Guangxi independently and positively associated with the rural area and younger age. The unusually high frequency of reinfection points to a need for further prospective longitudinal studies to better investigate sufficient impact on different subtypes.
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Affiliation(s)
- Jing Wang
- Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China.
| | - Lina Jiang
- Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China.
| | - Yunan Xu
- Duke University, Durham, North Carolina, USA.
| | - Weitao He
- Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China.
| | - Chao Zhang
- Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China.
| | - Fuyin Bi
- Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China.
| | - Yi Tan
- Guangxi Center for Disease Prevention and Control, Nanning, Guangxi, China.
| | - Chuanyi Ning
- Guangxi Medical University, Nanning, Guangxi, China.
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Tan Y, Wang ZK, Lang FF, Yu HM, Cao C, Ni CY, Wang MY, Song YL, Lang JP. Construction of cluster-based supramolecular wire and rectangle. Dalton Trans 2022; 51:6358-6365. [PMID: 35383821 DOI: 10.1039/d2dt00344a] [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: 11/21/2022]
Abstract
Reactions of [Et4N][Tp*WS3(CuCl)3] (1) (Tp* = hydridotris(3,5-dimethylpyrazol-1-yl)borate) with 2 equiv. of AgOTf (OTf- = trifluoromethanesulfonate) and 1 equiv. of several bidentate pyridine ligands including 2,5-bis(pyridine-4-yl)thiazolo[5,4-d]thiazole (L1), 2,7-di(pyridin-4-yl)-9H-fluorene (L2), 2,7-di(pyridin-4-yl)-9H-carbazole (L3), and 2,7-di(pyridin-4-yl)-9H-fluoren-9-one (L4) afforded four W/Cu/S cluster-based supramolecular compounds [(Tp*WS3Cu2Cl)2(L1)] (2), {[(Tp*WS3Cu3)2(μ-Cl)2(μ4-Cl)]2(L2)2}(OTf)2 (3), {[(Tp*WS3Cu3)2(μ-Cl)2(μ4-Cl)]2(L3)2}(OTf)2 (4) and {[(Tp*WS3Cu3)2(μ-Cl)2(μ4-Cl)]2(L4)2}(OTf)2 (5). Compounds 2-5 were characterized by elemental analysis, IR, UV-vis, 1H NMR, and single-crystal X-ray diffraction analysis. The neutral cluster 2 behaves as a supramolecular wire constructed by L1 bridging two butterfly-shaped [Tp*WS3Cu2Cl] cores. The cluster cations of 3-5 contain two [(Tp*WS3Cu3)2(μ-Cl)2(μ4-Cl)]+ cores linked by two L2, L3, or L4 ligands, which finally formed a cationic supramolecular rectangle. The third-order nonlinear-optical (NLO) properties of 3-5 in DMF were also investigated by Z-scan techniques and their NLO responses were enhanced compared to those of their precursor 1.
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Affiliation(s)
- Yi Tan
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, Jiangsu, People's Republic of China. .,State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, People's Republic of China
| | - Zhi-Kang Wang
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, Jiangsu, People's Republic of China.
| | - Fei-Fan Lang
- Department of Chemistry, University of Sheffield, Sheffield, UK
| | - Hui-Min Yu
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, Jiangsu, People's Republic of China.
| | - Chen Cao
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, Jiangsu, People's Republic of China.
| | - Chun-Yan Ni
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, Jiangsu, People's Republic of China.
| | - Meng-Yi Wang
- School of Physical Science and Technology, Soochow University, Suzhou 215006, Jiangsu, People's Republic of China
| | - Ying-Lin Song
- School of Physical Science and Technology, Soochow University, Suzhou 215006, Jiangsu, People's Republic of China
| | - Jian-Ping Lang
- College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, Jiangsu, People's Republic of China. .,State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, People's Republic of China
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Lin Q, Chen O, Wise JP, Shi H, Wintergerst KA, Cai L, Tan Y. FGF1ΔHBS delays the progression of diabetic nephropathy in late-stage type 2 diabetes mouse model by alleviating renal inflammation, fibrosis, and apoptosis. Biochim Biophys Acta Mol Basis Dis 2022; 1868:166414. [DOI: 10.1016/j.bbadis.2022.166414] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Revised: 03/29/2022] [Accepted: 04/11/2022] [Indexed: 12/13/2022]
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150
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Yuan P, Li J, Aruffo E, Gatov E, Li Q, Zheng T, Ogden NH, Sander B, Heffernan J, Collier S, Tan Y, Li J, Arino J, Bélair J, Watmough J, Kong JD, Moyles I, Zhu H. Efficacy of a "stay-at-home" policy on SARS-CoV-2 transmission in Toronto, Canada: a mathematical modelling study. CMAJ Open 2022; 10:E367-E378. [PMID: 35440484 PMCID: PMC9022937 DOI: 10.9778/cmajo.20200242] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Globally, nonpharmaceutical interventions for COVID-19, including stay-at-home policies, limitations on gatherings and closure of public spaces, are being lifted. We explored the effect of lifting a stay-at-home policy on virus resurgence under different conditions. METHODS Using confirmed case data from Toronto, Canada, between Feb. 24 and June 24, 2020, we ran a compartmental model with household structure to simulate the impact of the stay-at-home policy considering different levels of compliance. We estimated threshold values for the maximum number of contacts, probability of transmission and testing rates required for the safe reopening of the community. RESULTS After the implementation of the stay-at-home policy, the contact rate outside the household fell by 39% (from 11.58 daily contacts to 7.11). The effective reproductive number decreased from 3.56 (95% confidence interval [CI] 3.02-4.14) on Mar. 12 to 0.84 (95% CI 0.79-0.89) on May 6. Strong adherence to stay-at-home policies appeared to prevent SARS-CoV-2 resurgence, but extending the duration of stay-at-home policies beyond 2 months had little added effect on cumulative cases (25 958 for 65 days of a stay-at-home policy and 23 461 for 95 days, by July 2, 2020) and deaths (1404 for 65 days and 1353 for 95 days). To avoid a resurgence, the average number of contacts per person per day should be kept below 9, with strict nonpharmaceutical interventions in place. INTERPRETATION Our study demonstrates that the stay-at-home policy implemented in Toronto in March 2020 had a substantial impact on mitigating the spread of SARS-CoV-2. In the context of the early pandemic, before the emergence of variants of concern, reopening schools and workplaces was possible only with other nonpharmaceutical interventions in place.
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Affiliation(s)
- Pei Yuan
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Juan Li
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Elena Aruffo
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Evgenia Gatov
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Qi Li
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Tingting Zheng
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Nicholas H Ogden
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Beate Sander
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Jane Heffernan
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Sarah Collier
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Yi Tan
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Jun Li
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Julien Arino
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Jacques Bélair
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - James Watmough
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Jude Dzevela Kong
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Iain Moyles
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
| | - Huaiping Zhu
- Canadian Centre for Disease Modeling (Yuan, Juan Li, Aruffo, Q. Li, Zheng, Heffernan, Tan, Jun Li, Arino, Bélair, Watmough, Kong, Moyles, Zhu), and Department of Mathematics and Statistics (Yuan, Aruffo, Heffernan, Tan, Kong, Moyles, Zhu), York University, Toronto, Ont.; Complex Systems Research Center (Juan Li), Shanxi University, Taiyuan, Shanxi, China; Toronto Public Health (Gatov, Collier), City of Toronto, Toronto, Ont.; Department of Mathematics (Q. Li), Shanghai Normal University, Shanghai, China; College of Mathematics and System Science (Zheng), Xinjiang University, Urumqi, Xinjiang, China; Public Health Risk Sciences Division (Ogden), National Microbiology Laboratory, Public Health Agency of Canada, Sainte-Hyacinthe, Que.; Toronto Health Economics and Technology Assessment (THETA) Collaborative (Sander), University Health Network; Dalla Lana School of Public Health (Sander), University of Toronto, Toronto, Ont.; School of Mathematics and Statistics (Jun Li), Xidian University, Xi'an, Shaanxi, China; Department of Mathematics (Arino), University of Manitoba, Winnipeg, Man.; Département de mathématiques et de statistique (Bélair), Université de Montréal, Montréal, Que.; Department of Mathematics and Statistics (Watmough), University of New Brunswick, Fredericton, NB
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