101
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Zhou H, Zhao B, Zhang S, Wu Q, Zhu N, Li S, Pan X, Wang S, Qiao X. Development of volatiles and odor-active compounds in Chinese dry sausage at different stages of process and storage. Food Science and Human Wellness 2021. [DOI: 10.1016/j.fshw.2021.02.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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102
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Li P, Wu Q, Yang XR, Sun T. MicroRNA-133a-5p inhibiting metastatic capacity of renal clear cell carcinoma through regulating MON2. Eur Rev Med Pharmacol Sci 2021; 24:5988-5995. [PMID: 32572912 DOI: 10.26355/eurrev_202006_21492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE We aimed at analyzing the correlation between microRNA-133a-5p expression and clinical pathological parameters in patients with clear cell renal cell carcinoma (ccRCC) and exploring the mechanism by which microRNA-133a-5p affects the biological behavior of ccRCC cells. PATIENTS AND METHODS MicroRNA-133a-5p expression in ccRCC tissues and cell lines were examined by quantitative real-time polymerase chain reaction (qRT-PCR), and the relationship between ATG14 expression and clinicopathological parameters of ccRCC patients was analyzed. A control group (NC mimic) and a microRNA-133a-5p overexpression group (microRNA-133a-5p mimic) were set in the ccRCC cell lines ACHN and 786-O, respectively. The impacts of microRNA-133a-5p on the proliferation and invasion of ccRCC cells were evaluated through performing Cell Counting Kit-8 (CCK-8) and transwell tests, respectively. We further explored the interaction between microRNA-133a-5p and its downstream target gene WNK2 by bioinformatics analysis and Luciferase assay. RESULTS Both in ccRCC tissues and cell lines, microRNA-133a-5p showed a significantly reduced expression, which could be used to predict poor prognosis of ccRCC patients. Upregulation of microRNA-133a-5p markedly blunted the proliferation and migratory capacities of HCC cells. Bioinformatics analysis suggested that microRNA-133a-5p can target MON2. In addition, qPCR assay indicated an increased expression of MON2 in ccRCC cell lines and tissues, which was negatively correlated with microRNA-133a-5p. Finally, in vitro cell reverse experiments suggested that overexpression of MON2 counteracted the inhibitory effects of overexpression of microRNA-133a-5p on the proliferation and metastatic capacity of ccRCC. CONCLUSIONS This study suggests that the reduced expression of microRNA-133a-5p in ccRCC tissue specimens can predict poor prognosis of ccRCC patients. At the same time, microRNA-133a-5p may suppress the proliferation capacity and metastasis of ccRCC cells by acting on MON2.
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Affiliation(s)
- P Li
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
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Liu J, Wu Q, Wu S, Xie X. Investigation on potential biomarkers of hyperprogressive disease (HPD) triggered by immune checkpoint inhibitors (ICIs). Clin Transl Oncol 2021; 23:1782-1793. [PMID: 33847923 DOI: 10.1007/s12094-021-02579-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 03/01/2021] [Indexed: 02/04/2023]
Abstract
PURPOSE This project aimed to survey the clinical characteristics and survivals of hyperprogressive disease (HPD) mediated by immune checkpoint inhibitors (ICIs) in an attempt to explore the potential predictors. METHODS After searching PubMed, MEDLINE, Google Scholar and Cochrane Library databases, 12 studies incorporating 1766 individuals were enrolled. The data were analyzed with Review manager 5.3 software. RESULTS The results revealed HPD correlated with previous metastatic sites > 2 (OR = 1.86, 95% CI 1.33-2.59, P = 0.0003), liver metastasis (OR = 3.35, 95% CI 2.09-5.35, P < 0.00001), Royal Marsden Hospital (RMH) score ≥ 2 (OR = 2.80, 95% CI 1.85-4.23, P < 0.00001), higher ECOG PS (OR = 1.60, 95% CI 1.13-2.27, P = 0.008) and LDH > upper limits of normal (ULN) (OR = 2.32, 95% CI 1.51-3.58, P = 0.0001). Instead, HPD was unrelated to gender, age, smoking status, PD-L1 expression, therapy, neutrophil-to-lymphocyte ratio, the histology, the status of EGFR, ALK and KRAS in non-small cell lung cancer and HER-2 expression in advanced gastric cancer. Moreover, HPD was evidently correlated with a shorter OS (HR = 2.92, 95% CI 1.79-4.76, P < 0.0001) and PFS (HR = 3.62, 95% CI 2.79-4.68, P < 0.00001). The same phenomena existed in stratified studies based on study regions and tumor types. CONCLUSIONS This study demonstrated that HPD was related to the number of prior metastatic sites > 2, liver metastasis, RMH score ≥ 2, higher ECOG PS score and LDH > ULN. Moreover, HPD was correlated with a poor OS and PFS in patients following ICI therapy.
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Affiliation(s)
- J Liu
- Department of Oncology, Molecular Oncology Research Institute, the First Affiliated Hospital, Fujian Medical University, Chazhong Road No 20, Fuzhou 350005, Fujian, China
| | - Q Wu
- Department of Oncology, Molecular Oncology Research Institute, the First Affiliated Hospital, Fujian Medical University, Chazhong Road No 20, Fuzhou 350005, Fujian, China
| | - S Wu
- Department of Oncology, Molecular Oncology Research Institute, the First Affiliated Hospital, Fujian Medical University, Chazhong Road No 20, Fuzhou 350005, Fujian, China
| | - X Xie
- Department of Oncology, Molecular Oncology Research Institute, the First Affiliated Hospital, Fujian Medical University, Chazhong Road No 20, Fuzhou 350005, Fujian, China. .,Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Chazhong Road No 20, Fuzhou 350005, Fujian, China.
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Nguyen HQ, Wu Q, Chen H, Chen JJ, Yu YK, Tracy S, Huang GL. A Fano-based acoustic metamaterial for ultra-broadband sound barriers. Proc Math Phys Eng Sci 2021. [DOI: 10.1098/rspa.2021.0024] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Ultra-broadband sound reduction schemes covering living and working noise spectra are of high scientific and industrial significance. Here, we report, both theoretically and experimentally, on an ultra-broadband acoustic barrier assembled from space-coiling metamaterials (SCMs) supporting two Fano resonances. Moreover, acoustic hyper-damping is introduced by integrating additional thin viscous foam layers in the SCMs for optimizing the sound reduction performance. A simplified model is developed to study sound transmission behaviour of the SCMs under a normal incidence, which sets forth the basis to understand the working mechanism. An acoustic barrier with 220 mm thickness is then manufactured and tested to exhibit ultra-broadband transmission loss overall above 10 dB across the range 0.44–3.85 kHz, covering completely nine third-octave bands. In addition, unconventional broadband absorption in the dampened barrier (65%) is experimentally observed as well. We believe this work paves the way for realizing effective broadband sound insulation, absorption and sound wave controlling devices with efficient ventilation.
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Affiliation(s)
- H. Q. Nguyen
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA
| | - Q. Wu
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA
| | - H. Chen
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA
| | - J. J. Chen
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA
| | - Y. K. Yu
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA
| | - S. Tracy
- Materials Innovation, Steelcase Inc., Grand Rapids, MI 49508, USA
| | - G. L. Huang
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA
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Yao W, Zhao X, Gong Y, Zhang M, Zhang L, Wu Q, Wu L, Fan Z, Yan X, Jiao S. Impact of the combined timing of PD-1/PD-L1 inhibitors and chemotherapy on the outcomes in patients with refractory lung cancer. ESMO Open 2021; 6:100094. [PMID: 33780892 PMCID: PMC8041717 DOI: 10.1016/j.esmoop.2021.100094] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/21/2021] [Accepted: 02/23/2021] [Indexed: 12/02/2022] Open
Abstract
Background PD-1/PD-L1 inhibitors in combination with chemotherapy are widely used in clinical practice. However, the ideal combined timing of them has not been fully explored. Methods In this study, simulation experiments to explore the impacts of the combination of anti-PD-1 antibody (anti-PD-1 Ab) on the cytotoxic effects of chemotherapeutic drugs in peripheral blood mononuclear cells were performed. In addition, the effects of the combined timing of PD-1/PD-L1 inhibitors and chemotherapy on efficacy and safety were retrospectively analysed in patients with refractory lung cancer. Results Experiments in vitro showed that administering the anti-PD-1 Ab 3 days after chemotherapy (represented by dicycloplatin) resulted in significantly weaker cytotoxic effects on lymphocytes, compared with administering the anti-PD-1 Ab before or concurrent with chemotherapy. Moreover, data from 64 lung cancer patients treated with PD-1/PD-L1 inhibitors plus chemotherapy as a second- or higher-line therapy were retrospectively analysed. The results showed that administering PD-1/PD-L1 inhibitors 1-10 days (especially 3-5 days) after chemotherapy was associated with longer overall survival [17.3 months versus 12.7 months; hazard ratio (HR) = 0.58, 95% confidence interval (CI) 0.28-1.19, P = 0.137 in univariate analysis; HR = 0.36, 95% CI 0.16-0.80, P = 0.012 in multivariate analysis] and a trend of improved progression-free survival (5.1 months versus 4.2 months; HR = 0.81, 95% CI 0.42-1.54, P = 0.512) compared with administering PD-1/PD-L1 inhibitors before or concurrent with chemotherapy. Conclusion Our findings suggest that administering PD-1/PD-L1 inhibitors 1-10 days (especially 3-5 days) after chemotherapy is superior to administering PD-1/PD-L1 inhibitors before or concurrent with chemotherapy in patients with refractory lung cancer, but this result needs to be further explored by prospective studies. The cytotoxic effects of chemotherapeutic drugs were positively correlated with the activation states of PBMCs. Administering the anti-PD-1 Ab 3 days after chemotherapy resulted in weaker cytotoxic effects on lymphocytes in vitro. Administering PD-1/PD-L1 inhibitors a few days after chemotherapy resulted in better survival in lung cancer patients.
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Affiliation(s)
- W Yao
- Medical School of Chinese PLA, Haidian, Beijing, China
| | - X Zhao
- Department of Oncology, Chinese PLA General Hospital, Beijing, China
| | - Y Gong
- Beijing DCTY® Biotech CO., LTD, Beijing, China
| | - M Zhang
- Beijing DCTY® Biotech CO., LTD, Beijing, China
| | - L Zhang
- Department of Oncology, Chinese PLA General Hospital, Beijing, China
| | - Q Wu
- Department of Oncology, Chinese PLA General Hospital, Beijing, China
| | - L Wu
- Department of Oncology, Chinese PLA General Hospital, Beijing, China
| | - Z Fan
- Department of Oncology and Hematology, Shenzhen Third People's Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong Province, China
| | - X Yan
- Department of Oncology, Chinese PLA General Hospital, Beijing, China.
| | - S Jiao
- Medical School of Chinese PLA, Haidian, Beijing, China.
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106
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Wu Q, Xu Q, Zhou X, Liu KM, Cui LB, Liu WW. [Etiological characteristics of hand, foot and mouth disease in Yangzhou from 2015 to 2019]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:394-398. [PMID: 33730832 DOI: 10.3760/cma.j.cn112150-20200512-00721] [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: 06/12/2023]
Abstract
To understand the prevalence and etiological characteristics of hand, foot and mouth disease(HFMD) in Yangzhou, so as to provide scientific basis for prevention and control of HFMD. HFMD cases from six sentinel hospitals in Yangzhou from January 2015 to December 2019 were taken as the subject of study. The epidemiological data of HFMD were analyzed by descriptive epidemiology method, the enterovirus were detected using RT-PCR method and the etiological characteristics were analyzed. The data were collected by Excel 2007 and statistically analyzed by SPSS22.0 software. A total of 1 151 positive cases were detected from all 2 129 HFMD clinical specimens collected in Yangzhou from 2015 to 2019, with a total positive rate of 54.06%, including 148 cases of EV71(6.95%), 382 cases of CA16(17.94%) and 621 cases of other enterovirus(29.17%). The difference of positive rate in different years(χ2=99.28, P<0.05), different months(χ2=92.09, P<0.05) and different districts(χ2=71.39, P<0.05)was statistically significant. Each subtype of enterovirus showed alternating prevalence in different years. The peak period of detection rate was from April to September (720 cases, 62.55%). The reported incidence for males was higher than females, with the male-female ratio of 1.58∶1 and children under six (971 cases, 84.36%) as the major attacked population. There were obvious seasonal, regional and population characteristics of HFMD in Yangzhou City from 2015 to 2019. It reminds us that surveillance of HFMD should be continually implemented, more attention should be paid to the prevention and control of key population in high-risk seasons, and the booming HFMD cases caused by other enterovirus should be emphasized especially.
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Affiliation(s)
- Q Wu
- Molecular Diagnostic Laboratory, Northern Jiangsu People's Hospital,Yangzhou 225001, China
| | - Q Xu
- Department of Clinical Laboratory, Yangzhou Center for Disease Control and Prevention, Yangzhou 225001, China
| | - X Zhou
- Department of Clinical Laboratory, Yangzhou Center for Disease Control and Prevention, Yangzhou 225001, China
| | - K M Liu
- Department of Clinical Laboratory, Hanjiang Maternal and Child Care Service Institution of Yangzhou, Yangzhou 225012, China
| | - L B Cui
- Pathogenic Microbiology Institute, Jiangsu Center for Disease Control and Prevention,Nanjing 210009, China
| | - W W Liu
- Department of Clinical Laboratory, Yangzhou Center for Disease Control and Prevention, Yangzhou 225001, China
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107
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Mun H, Liu B, Pham THA, Wu Q. C-reactive protein and fracture risk: an updated systematic review and meta-analysis of cohort studies through the use of both frequentist and Bayesian approaches. Osteoporos Int 2021; 32:425-435. [PMID: 32935169 DOI: 10.1007/s00198-020-05623-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/01/2020] [Indexed: 01/08/2023]
Abstract
UNLABELLED This systematic review and meta-analysis were conducted on all eligible cohort studies to evaluate the association between high-sensitivity C-reactive protein (hs-CRP) and osteoporotic fracture risk. Both frequentist and Bayesian approaches were employed for the meta-analysis. We found that high tertiles of hs-CRP were significantly associated with increased fracture risk. INTRODUCTION The association between the inflammatory marker CRP and osteoporotic fracture has remained uncertain. In this study, we conducted a systematic review and meta-analysis to examine the association of serum hs-CRP and fracture risk. METHODS We performed a systematic literature search of relevant databases, including PubMed, Embase, and MEDLINE publications from January 1950 through April 2020. Three reviewers independently performed the study selection, quality assessment, and data abstraction. Frequentist and Bayesian hierarchical random-effects models were used separately for the analysis. Statistical heterogeneity was assessed using Higgin's I2 and Cochran's Q statistic, and publication bias was examined using funnel plots and rank correlation tests. RESULTS Fourteen cohort studies that reported t fracture outcomes were eligible for the systematic review. Only ten studies (n = 29,741) qualified for meta-analysis. In the frequentist approach, the RR for fracture in a comparison of the top tertile group to the bottom tertile group of hs-CRP was 1.54 (1.18, 2.01). The estimated risk of fracture remained significant in all sensitivity and subgroup analyses. Higgin's I2 (30.52%) and Cochran's Q statistic (p < 0.01) suggested there was moderate heterogeneity for the meta-analysis. In the Bayesian approach, the pooled RR was 1.60 (95% CI (1.07-2.49)), and the probabilities that the high level of hs-CRP increased fracture risk by more than 0%, 10%, and 20% were 99%, 98%, and 93%, respectively. CONCLUSION A high level of hs-CRP is associated with a significantly increased risk of osteoporotic fracture.
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Affiliation(s)
- H Mun
- Department of Epidemiology and Biostatistics, School of Public Health; Nevada Institute of Personalized Medicine, College of Sciences, University of Nevada, Las Vegas, Las Vegas, NV, 89154, USA
| | - B Liu
- Department of Mathematical Sciences, Nevada Institute of Personalized Medicine, College of Sciences, University of Nevada, Las Vegas, Las Vegas, NV, USA
| | - T H A Pham
- School of Life Sciences, Nevada Institute of Personalized Medicine, College of Sciences, University of Nevada, Las Vegas, Las Vegas, NV, USA
| | - Q Wu
- Department of Epidemiology and Biostatistics, School of Public Health; Nevada Institute of Personalized Medicine, College of Sciences, University of Nevada, Las Vegas, Las Vegas, NV, 89154, USA.
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108
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Wang Q, Liang L, Xi F, Wu Q, Xue Y, Cheng L, Zhang Y, Meng X. Kinetics Studies on Toxic Hexavalent Chromium Removal from Aqueous Solutions by Magnetic Nano-Magnetite. NEPT 2021. [DOI: 10.46488/nept.2021.v20i01.021] [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: 11/20/2022] Open
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109
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Zhang S, Xu Y, Zhao P, Bao H, Wang X, Liu R, Xu R, Xiang J, Jiang H, Yan J, Wu X, Shao Y, Liang J, Wu Q, Zhang Z, Lu S, Ma S. P35.23 Integrated Analysis of Genomic and Immunological Features in Lung Adenocarcinoma with Micropapillary Component. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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110
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Wu Q. Authentication mechanism of network communication nodes based on information safety of the Internet of Vehicles. Proceedings of the Estonian Academy of Sciences 2021. [DOI: 10.3176/proc.2021.1.04] [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: 11/12/2022]
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111
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Xue Y, Liang L, Wu Q, Zhang Y, Cheng L, Meng X. Removal of Azo Dyes Reactive Black from Water by Zero-Valent Iron: The Efficiency and Mechanism. NEPT 2020. [DOI: 10.46488/nept.2020.v19i05.024] [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: 11/20/2022] Open
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112
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Zhao B, Zhou H, Zhang S, Pan X, Li S, Zhu N, Wu Q, Wang S, Qiao X, Chen W. Changes of protein oxidation, lipid oxidation and lipolysis in Chinese dry sausage with different sodium chloride curing salt content. Food Science and Human Wellness 2020. [DOI: 10.1016/j.fshw.2020.04.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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113
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Qiu Z, Zhang J, Chen S, Liu Y, Wu Q, Yang H, Gao M, Li L. Preparation of Extracellular and Intracellular Water-Insoluble Monascus Pigments during Submerged Fermentaion. APPL BIOCHEM MICRO+ 2020. [DOI: 10.1134/s0003683820060149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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114
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Liang LP, Wang Q, Xi FF, Tan WS, Zhang YT, Cheng LB, Wu Q, Xue YY, Meng X. Effective Removal of Cr(VI) from Aqueous Solution Using Modified Orange Peel Powder: Equilibrium and Kinetic Study. NEPT 2020. [DOI: 10.46488/nept.2020.v19i04.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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115
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Wu Q, van der Gucht J, Kodger TE. Syneresis of Colloidal Gels: Endogenous Stress and Interfacial Mobility Drive Compaction. Phys Rev Lett 2020; 125:208004. [PMID: 33258652 DOI: 10.1103/physrevlett.125.208004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 10/21/2020] [Indexed: 06/12/2023]
Abstract
Colloidal gels may experience syneresis, an increase in volume fraction through expulsion of the continuous phase. This poroelastic process occurs when adhesion to the container is weak compared to endogenous stresses which develop during gelation. In this work, we measure the magnitude of syneresis, ΔV/V_{0}, for gels composed of solid, rubber, and liquid particles. Surprisingly, despite a constant thermoresponsive interparticle potential, gels composed of liquid and elastic particles synerese to a far greater extent. We conclude that this magnitude difference arises from contrasting modes of stress relaxation within the colloidal gel during syneresis either by bending or stretching of interparticle bonds.
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Affiliation(s)
- Q Wu
- Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, Gelderland, 6708 WE, The Netherlands
| | - J van der Gucht
- Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, Gelderland, 6708 WE, The Netherlands
| | - T E Kodger
- Physical Chemistry and Soft Matter, Wageningen University & Research, Wageningen, Gelderland, 6708 WE, The Netherlands
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Wang W, Sheng Y, Palta M, Czito B, Willett C, Li X, Wang C, Zhang J, Yin F, Wu Q, Ge Y, Wu Q. Fluence Map Prediction for Fast Pancreas Stereotactic Body Radiation Therapy (SBRT) Planning via Deep Learning. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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117
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Lin R, Lin S, Zhu J, Feng S, Wu Q, Fu J, Wang F, Li H, Li X, Zhang G, Yao Y, Xin M, Lai T, Lv X, Chen Y, Lin Y, Hong L, Lin S, Zhao S, Huang C. 290MO Patient controlled analgesia (PCA) versus non-pca intravenous hydromorphone for severe cancer pain: Update from a multi-center, phase III randomized trial, HMORCT09-1. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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118
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Wu Q, Liang X. A Novel AP/PA Total Body Irradiation Technique Using Abutting IMRT Fields at Extended SSD. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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119
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Wu Q, He ZP, Chen TQ, Shen XB, Shi PJ. Changes of related hormone levels in patients with acute coronary syndrome and their clinical significance. J BIOL REG HOMEOS AG 2020; 34:2131-2134. [PMID: 33200599 DOI: 10.23812/20-372-l] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- Q Wu
- Department of Internal Medicine Cardiovascular, Beilun District People's Hospital, Ningbo, Zhejiang, China
| | - Z P He
- Department of Internal Medicine Cardiovascular, Beilun District People's Hospital, Ningbo, Zhejiang, China
| | - T Q Chen
- Department of Internal Medicine Cardiovascular, Beilun District People's Hospital, Ningbo, Zhejiang, China
| | - X B Shen
- Department of Internal Medicine Cardiovascular, Beilun District People's Hospital, Ningbo, Zhejiang, China
| | - P J Shi
- Department of Internal Medicine Cardiovascular, Beilun District People's Hospital, Ningbo, Zhejiang, China
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120
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Wu Q, Hu H, Chen W, Chen HH, Chen L, Xu XQ, Wu FY. Morphological and microstructural brain changes in thyroid-associated ophthalmopathy: a combined voxel-based morphometry and diffusion tensor imaging study. J Endocrinol Invest 2020; 43:1591-1598. [PMID: 32253727 DOI: 10.1007/s40618-020-01242-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 03/28/2020] [Indexed: 12/01/2022]
Abstract
PURPOSE To explore the morphological and microstructural changes of grey and white matter in the patients of thyroid-associated ophthalmopathy (TAO). METHODS Twenty-five TAO patients and 25 well-matched healthy controls were recruited. Structural T1- and diffusion-weighted magnetic resonance imaging data were analyzed using voxel-based morphometry and voxel-based analysis of diffusion tensor imaging. RESULTS Compared with healthy controls, TAO group showed significantly decreased grey matter volume in the brain region of the right middle frontal gyrus. Meanwhile, TAO group showed significantly decreased fractional anisotropy (FA), but increased mean, axial and radial diffusivities in the brain regions of the right superior occipital gyrus, middle occipital gyrus and cuneus in TAO group. In addition, the FA value in significant brain regions showed a positive correlation with visual acuity (r = 0.456, P = 0.025) and a negative correlation with disease duration (r = - 0.609, P = 0.003). CONCLUSION Significant morphological and microstructural abnormalities in areas corresponding to known functional deficits of vision and cognition could be found in TAO patients. These results extended our understanding of neural relationships with TAO.
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Affiliation(s)
- Q Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China
| | - H Hu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China
| | - W Chen
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China
| | - H-H Chen
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - L Chen
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China
| | - X-Q Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China.
| | - F-Y Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Rd, Gulou District, Nanjing, China.
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Ackerson B, Wu Q, Craciunescu O, Niedzwiecki D, Oyekunle T, Kelsey C. Treatment of Mycosis Fungoides using a Recumbent Total Skin Electron Beam Technique: A Comparison of Dosimetric and Clinical Outcomes. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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122
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Cui L, Zheng YL, Wu Q, Zhu K, Han B. [Acute anterior and inferior myocardial infarction caused by spasm of right coronary artery originating from left anterior descending branch: a case report]. Zhonghua Xin Xue Guan Bing Za Zhi 2020; 48:871-873. [PMID: 33076626 DOI: 10.3760/cma.j.cn112148-20191215-00754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Affiliation(s)
- L Cui
- Department of Cardiology, Xuzhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou 221009, China
| | - Y L Zheng
- Department of Cardiology, Xuzhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou 221009, China
| | - Q Wu
- Department of Cardiology, Xuzhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou 221009, China
| | - K Zhu
- Department of Cardiology, Xuzhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou 221009, China
| | - B Han
- Department of Cardiology, Xuzhou Central Hospital Affiliated to Medical School of Southeast University, Xuzhou 221009, China
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123
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Leclair N, Calafiore R, Wu Q, Wolansky L, Bulsara KR. Application of targeted genome sequencing to brain metastasis from non-small cell lung carcinoma: Case report. Neurochirurgie 2020; 66:477-483. [PMID: 33091460 DOI: 10.1016/j.neuchi.2020.09.010] [Citation(s) in RCA: 2] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 09/11/2020] [Accepted: 09/21/2020] [Indexed: 12/13/2022]
Abstract
Non-small cell lung cancer (NSCLC) is frequently associated with central nervous system metastases resulting in poor outcomes. As newer targeted therapies become available determining which patients can benefit from these therapies has remained challenging, and current molecular testing options rely on a panel of only a handful of known oncogenic drivers. Here, we demonstrate a targeted approach at uncovering clinically relevant variants in cancer-associated genes using genomic sequencing. Our patient underwent targeted sequencing of 212 cancer-associated genes, revealing mutations in six; two of which were in EGFR, an important target for therapy in NSCLC. A multidisciplinary approach involving surgical resection, radiation, and targeted therapy based on the genomic profile and tumor pathology ultimately lead to positive therapeutic response and stable disease. Our report provides a proof of principle for incorporating higher throughput genomic sequencing techniques directly into patient care. We also report an atypical response of an EGFR mutation positive metastatic tumor to immune checkpoint therapy, despite recent reports suggesting that these patients do not benefit from immune checkpoint inhibitors. A brief review of current literature is discussed here to explore links between EGFR mutations and PD-L1 expression, as well as response to targeted therapies.
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Affiliation(s)
- N Leclair
- School of Medicine, University of Connecticut, 263, Farmington Avenue, 06030 Farmington, CT, USA
| | - R Calafiore
- School of Medicine, University of Connecticut, 263, Farmington Avenue, 06030 Farmington, CT, USA
| | - Q Wu
- Department of Pathology and Laboratory Medicine, UConn Health, 263, Farmington Avenue, 06030 Farmington, CT, USA
| | - L Wolansky
- Department of Radiology, UConn Health, 263, Farmington Avenue, 06030 Farmington, CT, USA
| | - K R Bulsara
- Division of Neurosurgery, Department of Surgery, UConn Health, 263, Farmington Avenue, 06030 Farmington, CT, USA.
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124
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Sun Y, Wu Q, Pan J, Li T, Liu L, Chen D, Zhang X, Chen H, Li Y, Lin R. Identification of differentially expressed genes and signalling pathways in the ovary of higher and lower laying ducks. Br Poult Sci 2020; 61:609-614. [PMID: 33012177 DOI: 10.1080/00071668.2020.1792834] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
1. Ovarian transcriptomic profiling between birds showing high egg number (HEN) and birds of low egg number (LEN) in Longyan Shan-ma ducks at 71 weeks of age was carried out using Illumina Hiseq 2500 technology. 2. A total of 343 differentially expressed genes (DEGs, 269 upregulated and 74 downregulated) were identified between HEN and LEN ovaries. These DEGs were enriched in 30 Gene Ontology terms. Pathway functional analysis found that the DEGs were enriched in 10 metabolic pathways (P < 0.05), one of which was regulation of the actin cytoskeleton pathway (Q < 0.05). 3. Three integrin family genes, ITGB2, ITGB5 and ITGA8 were differentially expressed in the RNA-seq and qPCR experiments. 4. The DEGs and signalling pathways identified in ovarian tissue in this study provide new insights into high egg production in Longyan Shan-ma duck.
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Affiliation(s)
- Y Sun
- College of Life Science, Longyan University , Longyan, Fujian, P.R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P.R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - Q Wu
- College of Life Science, Longyan University , Longyan, Fujian, P.R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P.R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - J Pan
- College of Life Science, Longyan University , Longyan, Fujian, P.R. China
| | - T Li
- College of Life Science, Longyan University , Longyan, Fujian, P.R. China
| | - L Liu
- College of Life Science, Longyan University , Longyan, Fujian, P.R. China
| | - D Chen
- College of Life Science, Longyan University , Longyan, Fujian, P.R. China
| | - X Zhang
- College of Life Science, Longyan University , Longyan, Fujian, P.R. China
| | - H Chen
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District , Longyan, P.R. China
| | - Y Li
- College of Life Science, Longyan University , Longyan, Fujian, P.R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P.R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - R Lin
- Longyan Shan-ma Duck Original Breeding Farm, Agricultural Bureau of Xinluo District , Longyan, P.R. China
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125
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Li N, Bu H, Liu J, Zhu J, Zhou Q, Wang L, Yin R, Wu X, Yao S, Gu K, Zhang H, Li G, Pan H, Wu Q, An R, Yang X, Zhu Y, Wan X, Duan W, Xiong J, Wang Y, Wang Q, Zou J, Wu L. Efficacy and safety of oral poly (ADP-ribose) polymerase inhibitor fluzoparib in patients with BRCA1/2 mutations and recurrent ovarian cancer. Gynecol Oncol 2020. [DOI: 10.1016/j.ygyno.2020.05.229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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126
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Hu H, Chen HH, Chen W, Wu Q, Chen L, Zhu H, Xu XQ, Shi HB, Wu FY. T2 mapping histogram at extraocular muscles for predicting the response to glucocorticoid therapy in patients with thyroid-associated ophthalmopathy. Clin Radiol 2020; 76:159.e1-159.e8. [PMID: 33010933 DOI: 10.1016/j.crad.2020.09.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Accepted: 09/02/2020] [Indexed: 02/06/2023]
Abstract
AIM To evaluate the performance of T2 mapping histograms at the extraocular muscles (EOMs) in predicting the response to glucocorticoid therapy in the patients with active and moderate-severe thyroid-associated ophthalmopathy (TAO). MATERIALS AND METHODS Thirty active and moderate-severe TAO patients (responsive group, n=20; unresponsive group, n=10) were enrolled, and evaluated using T2 mapping before treatment. Histogram parameters (mean, median, max, min, 10th, 90th percentiles, skewness, and kurtosis) of T2 relaxation time (T2RT) at the EOMs for each orbit, and clinical variables (age, sex, disease duration, anti-thyroid treatment, smoking habit, pre-treatment thyroid function, thyrotrophin receptor antibody, diplopia presence, activity and severity scores) were collected and compared between groups. Logistic regression and receiver operating characteristic (ROC) curve analyses were used to assess the predictive value of identified independent variables for treatment response. RESULTS The responsive group showed significantly shorter disease duration (p=0.003), while higher T2RTmin than unresponsive group (p<0.001). Multivariate analysis showed that T2RTmin and disease duration were independent predictors for responsive TAOs. ROC curve analyses indicated that setting a cut-off value of ≥54.3 for T2RTmin demonstrated the optimal predicting specificity for responsive TAOs (100%), while a combination of T2RTmin ≥54.3 and disease duration ≤4.5 showed optimal predicting efficiency and sensitivity (area under the curve, 0.820; sensitivity, 65%). CONCLUSIONS Histogram analysis can help to exhibit the heterogeneity of T2RT at the EOMs. T2RTmin, together with disease duration may be the promising marker for predicting response to glucocorticoid therapy in the patients with active and moderate-severe TAO.
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Affiliation(s)
- H Hu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - H-H Chen
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - W Chen
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Q Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - L Chen
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - H Zhu
- Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - X-Q Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - H-B Shi
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
| | - F-Y Wu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
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DU X, Ding M, Wu Q, Li CH, Guo H, Liu G, Chen Z. Characterization of a P18 protein in the S1 segment of the novel duck reovirus genome. Acta Virol 2020; 64:59-66. [PMID: 32180419 DOI: 10.4149/av_2020_108] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Novel duck reovirus (NDRV), the prototype strain of avian orthoreoviruses, continues to circulate among ducks. Analysis of its genome suggested that a putative second open reading frame in the S1 segment encodes a 162-amino acid nonstructural protein with size of 18 kDa, provisionally designated P18. This protein is different from the 17 kDa nonstructural protein encoded in the same open reading frame in other avian orthoreoviruses, which is designated P17 and consists of 146 amino acids. There is no corresponding protein in Muscovy duck reovirus. Antibodies raised to the purified recombinant protein reacted with viral P18 both in vitro and in vivo. In cells, P18 was located predominantly in the nucleus at 6-12 h post-infection, with negligible levels in the cytoplasm. However, the protein accumulated both in the nucleus and cytoplasm at 24 to 36 h post-infection. Immunohistochemistry indicated that P18 strongly accumulates in spleen tissues of infected ducklings. Collectively, the data provide the direct experimental evidence that P18 is expressed by novel duck reovirus both in vivo and in vitro. Keywords: duck reovirus; expression; characterization; novel P18 protein.
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128
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Wang Q, Xi FF, Liang LP, Zhang YT, Xue YY, Wu Q, Cheng LB, Meng X. Adsorption of Dye Reactive Brilliant Red X-3B by Rice Wine Lees from Aqueous Solutions. NEPT 2020. [DOI: 10.46488/nept.2020.v19i03.019] [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: 11/20/2022] Open
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129
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Li C, Zhang Z, Wang Z, Wu Q. Effects of environmental factors and heavy metals on the vertical distribution of bryophytes in a sinkhole environment. Plant Biol (Stuttg) 2020; 22:822-831. [PMID: 32392371 DOI: 10.1111/plb.13129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 04/19/2020] [Indexed: 06/11/2023]
Abstract
A sinkhole ecosystem, as a refuge for plant diversity, has been subjected to intensive exploitation, leading to ecosystem destruction of sinkholes in China. Understanding the responses of bryophyte distribution to destruction of the sinkhole environment are crucial to implementing protection measures for bryophyte diversity. Haolong sinkhole in Guangxi Zhuang Autonomous Region of China, the third largest sinkhole in the world, was selected as the study area. The Wilson Shmida index was used to analyse bryophyte species diversity; a Generalized Linear Model (GLM) was used to reveal species vertical distribution of bryophytes, the Single and Multiple Species Distribution Models (SSDM, MSDM) were used for analysis of the relationship between bryophyte species distribution, environmental factors and heavy metals. A total of 183 species from 74 genera in 36 families of bryophytes were collected from Haolong sinkhole, of which 26 species are endemic to China. Bryophyte species diversity was ranked in the order: agricultural section < forest section < grassland. In the vertical direction, bryophyte distribution was divided into point, disjunctive and continuous distributions using the GLM. The SSMA and MSDM indicated that bryophyte species of each of these three distributions can be divided into a temperature-slope zone, light-depth-pH-humidity zone, Pb (B)-Hg (B) zone and mixed heavy metals zone according to the effect of environmental factors and heavy metals such as As. Environmental factors or heavy metals, such as As, in Haolong sinkhole effectively cooperate in bryophyte distribution. An effective way to protect bryophyte diversity, in particular species endemic to China in the sinkhole environment, is through education and involvement of the local villagers to minimize further damage to the sinkhole environment.
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Affiliation(s)
- C Li
- Key Laboratory for Information System of Mountainous Area and Protection of Ecological Environmental of Guizhou Province, Guizhou Normal University, Guiyang, China
| | - Z Zhang
- Key Laboratory for Information System of Mountainous Area and Protection of Ecological Environmental of Guizhou Province, Guizhou Normal University, Guiyang, China
| | - Z Wang
- School of Life sciences, Guizhou Normal University, Guiyang, China
| | - Q Wu
- Key Laboratory for Information System of Mountainous Area and Protection of Ecological Environmental of Guizhou Province, Guizhou Normal University, Guiyang, China
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130
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Ling XW, Lin K, Jiang XQ, Wu Q, Liu ZJ, Li S, Zhao S, Lin C. International normalised ratio as an independent predictor of mortality in limb necrotising fasciitis with sepsis. Ann R Coll Surg Engl 2020; 103:35-40. [PMID: 32829649 DOI: 10.1308/rcsann.2020.0189] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Necrotising fasciitis with sepsis is a life threatening disease. The aim of this study was to analyse the association between international normalised ratio (INR) and mortality in sepsis patients with necrotising fasciitis. METHODS A retrospective review was undertaken of 106 patients suffering from necrotising fasciitis with sepsis between November 2007 and December 2016. Data on comorbidities, clinical manifestations, laboratory findings, causative microbiological organisms, APACHE II (Acute Physiology and Chronic Health Evaluation II) score and outcomes were extracted. Logistic regression was carried out to examine the factors affecting mortality. RESULTS Forty patients (37.7%) died. There was no significant difference in the white blood count (WBC) for the survivor and non-survivor groups. Non-survivors had a lower mean oxygenation index (OI) (288.7mmHg vs 329.4mmHg, p=0.032) and platelet count (PC) (139.5 vs 214.8 x 109/l, p=0.028), and a higher mean INR (1.9 vs 1.3, p=0.000), activated partial thromboplastin time (APTT) (54.6 vs 44.2 seconds, p=0.005) and serum creatinine (2.3mg/dl vs 1.4mg/dl, p=0.007). Mortality in patients with INR >1.5 was significantly higher than in those with INR <1.5 when all risk factors (WBC, PC, OI, INR, APTT, creatinine) were considered (odds ratio: 4.414, 95% confidence interval: 1.263-15.428, p=0.020). Even after adjusting for age, sex, bacteraemia, diabetes and hepatic disorders, the data still exhibited elevated mortality for patients with INR >1.5 (odds ratio: 5.600, 95% confidence interval: 1.415-22.166, p=0.014). CONCLUSIONS INR is a significant independent predictor of mortality in sepsis patients diagnosed with necrotising fasciitis.
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Affiliation(s)
- X W Ling
- First Affiliated Hospital of Wenzhou Medical University, China
| | - K Lin
- First Affiliated Hospital of Wenzhou Medical University, China
| | - X Q Jiang
- First Affiliated Hospital of Wenzhou Medical University, China
| | - Q Wu
- First Affiliated Hospital of Wenzhou Medical University, China
| | - Z J Liu
- First Affiliated Hospital of Wenzhou Medical University, China
| | - S Li
- First Affiliated Hospital of Wenzhou Medical University, China
| | - S Zhao
- First Affiliated Hospital of Wenzhou Medical University, China
| | - C Lin
- First Affiliated Hospital of Wenzhou Medical University, China
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131
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Zhang M, Liu L, Chen D, Zhang X, Zhou C, Gan Q, Li Y, Wu Q, Li H, Xu W, Zhang M, Huang Q, Sun Y. Functional microRNA screening for dietary vitamin E regulation of abdominal fat deposition in broilers. Br Poult Sci 2020; 61:344-349. [PMID: 32118485 DOI: 10.1080/00071668.2020.1736265] [Citation(s) in RCA: 4] [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: 12/22/2022]
Abstract
1. Functional microRNA (miRNA) screening for abdominal fat tissue with different dietary vitamin E (VE) levels was performed to reveal miRNAs, genes and metabolic pathways involved in abdominal fat deposition in broilers. 2. A total of 240, one-day-old healthy female chicks were randomly allocated into five dietary treatments containing either 0, 20, 50, 75 or 100 IU DL-α-tocopherol acetate. The sequencing of miRNAs from abdominal fat tissues was performed. The target genes of miRNAs were predicted and enrichment analysis for these genes was performed. Diets supplemented with 50 IU VE significantly diminished abdominal fat deposition in broilers at day 35 of age. 3. A total of 29 miRNAs were differentially expressed between control and 50 IU VE treatment. Ten of the 23 target genes were enriched in four signalling pathways: tight junction, SNARE interactions in vesicular transport, regulation of autophagy and proteasome. 4. This study identified miRNA, target genes and pathways in dietary VE treatment for broilers, providing new insights into the miRNA regulation of abdominal fat deposition in broilers.
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Affiliation(s)
- M Zhang
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P. R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - L Liu
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China
| | - D Chen
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China
| | - X Zhang
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China
| | - C Zhou
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China
| | - Q Gan
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China
| | - Y Li
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P. R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - Q Wu
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P. R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - H Li
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P. R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - W Xu
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P. R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - M Zhang
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P. R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - Q Huang
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P. R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
| | - Y Sun
- College of Life Science, Longyan University , Longyan, Fujian, P. R. China.,Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology , Longyan, Fujian, P. R. China.,Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Fujian Province University , Longyan, Fujian, P.R. China
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132
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Wu Q, Zhou Y, Wang Y, Zhang Y, Shen Y, Su Q, Gao G, Xu H, Zhou X, Liu B. Whole-genome sequencing reveals breed-differential CNVs between Tongcheng and Large White pigs. Anim Genet 2020; 51:940-944. [PMID: 32808316 DOI: 10.1111/age.12993] [Citation(s) in RCA: 6] [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] [Accepted: 07/24/2020] [Indexed: 01/26/2023]
Abstract
Large phenotypic differences have been observed between Tongcheng and Large White pigs. However, little is known about their genetic basis. This study performed a genome-wide comparison of CNVs between Tongcheng and Large White pigs using genome sequencing data. By combining the advantages of three different strategies (read depth, paired-end mapping and split read), we detected in total 18 687 CNVs that covered approximately 3.5% of the pig genome length for Tongcheng and Large White pigs. We identified 1864 breed-stratified CNVs (top 10%) by performing VST statistics. Functional enrichment analyses for genes located in breed-stratified CNVs were found to be involved in pigmentation, behavior, immune system and reproductive processes, which coincide with phenotypic differences between the two breeds. Using a systematic analysis of the genome and transcriptome data, we further identified four novel breed-differential CNVs on the functional genes (disease-resistant, DCUN1D2 and SPARCL1; lipid metabolism, PLEKHA2 and SLCO1A2). Subsequent PCR validation confirmed their accurate breakpoint positions in 33 Tongcheng pigs and 33 Large White pigs. This study provides essential information on differential CNVs for further research on the genetic basis of phenotypic differences between Tongcheng and Large White pigs.
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Affiliation(s)
- Q Wu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Y Zhou
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Y Wang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Y Zhang
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Y Shen
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Q Su
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - G Gao
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - H Xu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - X Zhou
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.,The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070, China
| | - B Liu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Pig Genetics and Breeding of Ministry of Agriculture and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.,The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070, China
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Adamson P, An FP, Anghel I, Aurisano A, Balantekin AB, Band HR, Barr G, Bishai M, Blake A, Blyth S, Cao GF, Cao J, Cao SV, Carroll TJ, Castromonte CM, Chang JF, Chang Y, Chen HS, Chen R, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Childress S, Chu MC, Chukanov A, Coelho JAB, Cummings JP, Dash N, De Rijck S, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dvořák M, Dwyer DA, Evans JJ, Feldman GJ, Flanagan W, Gabrielyan M, Gallo JP, Germani S, Gomes RA, Gonchar M, Gong GH, Gong H, Gouffon P, Graf N, Grzelak K, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Habig A, Hackenburg RW, Hahn SR, Hans S, Hartnell J, Hatcher R, He M, Heeger KM, Heng YK, Higuera A, Holin A, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang J, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Koerner LW, Kohn S, Kordosky M, Kramer M, Kreymer A, Lang K, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li S, Li SC, Li SJ, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu Y, Liu YH, Lu C, Lu HQ, Lu JS, Lucas P, Luk KB, Ma XB, Ma XY, Ma YQ, Mann WA, Marshak ML, Marshall C, Martinez Caicedo DA, Mayer N, McDonald KT, McKeown RD, Mehdiyev R, Meier JR, Meng Y, Miller WH, Mills G, Mora Lepin L, Naples D, Napolitano J, Naumov D, Naumova E, Nelson JK, Nichol RJ, O'Connor J, Ochoa-Ricoux JP, Olshevskiy A, Pahlka RB, Pan HR, Park J, Patton S, Pavlović Ž, Pawloski G, Peng JC, Perch A, Pfützner MM, Phan DD, Plunkett RK, Poonthottathil N, Pun CSJ, Qi FZ, Qi M, Qian X, Qiu X, Radovic A, Raper N, Ren J, Reveco CM, Rosero R, Roskovec B, Ruan XC, Sail P, Sanchez MC, Schneps J, Schreckenberger A, Shaheed N, Sharma R, Sousa A, Steiner H, Sun JL, Tagg N, Thomas J, Thomson MA, Timmons A, Tmej T, Todd J, Tognini SC, Toner R, Torretta D, Treskov K, Tse WH, Tull CE, Vahle P, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Weber A, Wei HY, Wei LH, Wen LJ, Whisnant K, White C, Whitehead LH, Wojcicki SG, Wong HLH, Wong SCF, Worcester E, Wu DR, Wu FL, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JW, Zhang QM, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhou L, Zhuang HL. Improved Constraints on Sterile Neutrino Mixing from Disappearance Searches in the MINOS, MINOS+, Daya Bay, and Bugey-3 Experiments. Phys Rev Lett 2020; 125:071801. [PMID: 32857527 DOI: 10.1103/physrevlett.125.071801] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 06/13/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
Searches for electron antineutrino, muon neutrino, and muon antineutrino disappearance driven by sterile neutrino mixing have been carried out by the Daya Bay and MINOS+ collaborations. This Letter presents the combined results of these searches, along with exclusion results from the Bugey-3 reactor experiment, framed in a minimally extended four-neutrino scenario. Significantly improved constraints on the θ_{μe} mixing angle are derived that constitute the most constraining limits to date over five orders of magnitude in the mass-squared splitting Δm_{41}^{2}, excluding the 90% C.L. sterile-neutrino parameter space allowed by the LSND and MiniBooNE observations at 90% CL_{s} for Δm_{41}^{2}<13 eV^{2}. Furthermore, the LSND and MiniBooNE 99% C.L. allowed regions are excluded at 99% CL_{s} for Δm_{41}^{2}<1.6 eV^{2}.
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Affiliation(s)
- P Adamson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F P An
- Institute of Modern Physics, East China University of Science and Technology, Shanghai
| | - I Anghel
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - A Aurisano
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - A B Balantekin
- Physics Department, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - H R Band
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - G Barr
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A Blake
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
- Lancaster University, Lancaster, LA1 4YB, United Kingdom
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - S V Cao
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Carroll
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - C M Castromonte
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - R Chen
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Shenzhen University, Shenzhen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- Institute of High Energy Physics, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J J Cherwinka
- Physics Department, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - S Childress
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | - A Chukanov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J A B Coelho
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | | | - N Dash
- Institute of High Energy Physics, Beijing
| | - S De Rijck
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - M Dvořák
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - J J Evans
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - G J Feldman
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - W Flanagan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
- Department of Physics, University of Dallas, Irving, Texas 75062, USA
| | - M Gabrielyan
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - S Germani
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - R A Gomes
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - P Gouffon
- Instituto de Física, Universidade de São Paulo, CP 66318, 05315-970, São Paulo, Sao Paulo, Brazil
| | - N Graf
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - K Grzelak
- Department of Physics, University of Warsaw, PL-02-093 Warsaw, Poland
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - A Habig
- Department of Physics, University of Minnesota Duluth, Duluth, Minnesota 55812, USA
| | - R W Hackenburg
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S R Hahn
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Hartnell
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - R Hatcher
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - A Higuera
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - A Holin
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J Huang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | | | - Y B Huang
- Institute of High Energy Physics, Beijing
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L W Koerner
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Kordosky
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - A Kreymer
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Lang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S J Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Y Liu
- Shandong University, Jinan
| | | | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544, USA
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - J S Lu
- Institute of High Energy Physics, Beijing
| | - P Lucas
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - W A Mann
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - M L Marshak
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - D A Martinez Caicedo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - N Mayer
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544, USA
| | - R D McKeown
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
- Lauritsen Laboratory, California Institute of Technology, Pasadena, California 91125, USA
| | - R Mehdiyev
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - J R Meier
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - W H Miller
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - G Mills
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - L Mora Lepin
- Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - D Naples
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J K Nelson
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - R J Nichol
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J O'Connor
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - R B Pahlka
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - Ž Pavlović
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - G Pawloski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - A Perch
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M M Pfützner
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - D D Phan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - R K Plunkett
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - N Poonthottathil
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - X Qiu
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - A Radovic
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B Roskovec
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - P Sail
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - M C Sanchez
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - J Schneps
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - A Schreckenberger
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | | | - R Sharma
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Sousa
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - N Tagg
- Otterbein University, Westerville, Ohio 43081, USA
| | - J Thomas
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M A Thomson
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Timmons
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J Todd
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - S C Tognini
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - R Toner
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Torretta
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - P Vahle
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - W Wang
- Nanjing University, Nanjing
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - A Weber
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
- Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, OX11 0QX, United Kingdom
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | - K Whisnant
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - C White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - L H Whitehead
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - S G Wojcicki
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - S C F Wong
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - F L Wu
- Nanjing University, Nanjing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B L Young
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
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Wang Y, Wu Q, Anand BG, Karthivashan G, Phukan G, Yang J, Thinakaran G, Westaway D, Kar S. Significance of cytosolic cathepsin D in Alzheimer's disease pathology: Protective cellular effects of PLGA nanoparticles against β-amyloid-toxicity. Neuropathol Appl Neurobiol 2020; 46:686-706. [PMID: 32716575 DOI: 10.1111/nan.12647] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 06/25/2020] [Accepted: 07/12/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Evidence suggests that amyloid β (Aβ) peptides play an important role in the degeneration of neurons during the development of Alzheimer's disease (AD), the prevalent cause of dementia affecting the elderly. The endosomal-lysosomal system, which acts as a major site for Aβ metabolism, has been shown to exhibit abnormalities in vulnerable neurons of the AD brain, reflected by enhanced levels/expression of lysosomal enzymes including cathepsin D (CatD). At present, the implication of CatD in selective neuronal vulnerability in AD pathology remains unclear. METHODS We evaluated the role of CatD in the degeneration of neurons in Aβ-treated cultures, transgenic AD mouse model (that is 5xFAD) and post mortem AD brain samples. RESULTS Our results showed that Aβ1-42 -induced toxicity in cortical cultured neurons is associated with impaired lysosomal integrity, enhanced levels of carbonylated proteins and tau phosphorylation. The cellular and cytosolic levels/activity of CatD are also elevated in cultured neurons following exposure to Aβ peptide. Additionally, we observed that CatD cellular and subcellular levels/activity are increased in the affected cortex, but not in the unaffected cerebellum, of 5xFAD mice and post mortem AD brains. Interestingly, treatment of cultured neurons with nanoparticles PLGA, which targets lysosomal system, attenuated Aβ toxicity by reducing the levels of carbonylated proteins, tau phosphorylation and the level/distribution/activity of CatD. CONCLUSION Our study reveals that increased cytosolic level/activity of CatD play an important role in determining neuronal vulnerability in AD. Additionally, native PLGA can protect neurons against Aβ toxicity by restoring lysosomal membrane integrity, thus signifying its implication in attenuating AD.
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Affiliation(s)
- Y Wang
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada.,Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.,Centre for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada
| | - Q Wu
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.,Centre for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada
| | - B G Anand
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.,Centre for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada
| | - G Karthivashan
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.,Centre for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada
| | - G Phukan
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.,Centre for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada
| | - J Yang
- Centre for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada
| | - G Thinakaran
- Department of Molecular Medicine, and Byrd Alzheimer's Institute, University of South Florida, Tampa, FL, 33613, USA
| | - D Westaway
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.,Centre for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada.,Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada
| | - S Kar
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada.,Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.,Centre for Prions and Protein Folding Diseases, University of Alberta, Edmonton, Alberta, Canada
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135
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Wu Q, Xi DZ, Wang YH. MicroRNA-599 regulates the development of Parkinson's disease through mediating LRRK2 expression. Eur Rev Med Pharmacol Sci 2020; 23:724-731. [PMID: 30720180 DOI: 10.26355/eurrev_201901_16886] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE This study investigates whether microRNA-599 can inhibit the progression of Parkinson's disease (PD) by regulating the LRRK2 expression. We aim to search for a new therapeutic target for PD. MATERIALS AND METHODS A mouse model of PD was first established. A relative amount of TH+ neurons in the mouse brain was quantified by immunohistochemistry. The expression levels of microRNA-599 and LRRK2 in mouse brain tissues were determined by the quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) and Western blot. Cell model of PD was constructed by MPP+ treatment in SH-SY5Y cells. The expression levels of microRNA-599 and LRRK2 in MPP+-induced SH-SY5Y cells were examined as well. We verified the binding condition between microRNA-599 and LRRK2 through dual-luciferase reporter gene assay. The viability and apoptosis in MPP+-induced SH-SY5Y cells overexpressing microRNA-599 were determined by cell counting kit-8 (CCK-8) assay and flow cytometry, respectively. RESULTS Compared with normal mice, TH+ neurons were fewer in the brain tissue of PD mice. MicroRNA-599 expression was lower, while LRRK2 expression was higher in brain tissues of PD mice relative to controls. Meanwhile, in vitro expression of microRNA-599 was downregulated and LRRK2 expression was upregulated in MPP+-induced SH-SY5Y cells. Dual-luciferase reporter gene assay verified the binding condition between microRNA-599 and LRRK2. The microRNA-599 overexpression downregulated the LRRK2 expression in SH-SY5Y cells, and conversely, the microRNA-599 knockdown upregulated the LRRK2 expression. Of note, the microRNA-599 overexpression protected MPP+-induced viability decrease and apoptosis acceleration in SH-SY5Y cells. CONCLUSIONS MicroRNA-599 is lowly expressed in both in vivo and in vitro PD model. MicroRNA-599 inhibits the development of PD through regulating the LRRK2 expression.
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Affiliation(s)
- Q Wu
- Department of Rehabilitation Medicine, Shanxi Provincial People's Hospital, Taiyuan, China.
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136
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Wang YR, Zhuang GH, Yang G, Wang LR, Shen MW, Li R, Li N, Li XR, Wei J, Wei XL, Wu Q. [The status and related factors of myopia for children and adolescents aged 5-18 years old in Shaanxi Province in 2018]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:784-786. [PMID: 32842303 DOI: 10.3760/cma.j.cn112150-20190723-00590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
In 2018, the myopia detection rate of children and adolescents aged 5-18 years old in Shaanxi Province was 54.9% (11 060/20 144). The myopia detection rate of girls [58.6%(5 830/9 949)] was higher than that of boys [58.6% (3 416/5 830)] (P<0.001). In children and adolescents, the myopia detection rate increased with the age before their 16 years old, and saw a stable or downward trend after the age of 16. After adjusting the confounding factors, the myopia detection rate of children and adolescents from regions with per capita GDP>100 000 yuan was higherthan that of children and adolescents from regions with per capita GDP<50 000 yuan[OR (95%CI):1.58(1.34-1.87)].
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Affiliation(s)
- Y R Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - G H Zhuang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - G Yang
- School Health Department, Health and Family Planning Supervision Center of Shaanxi Province, Xi'an 710077, China
| | - L R Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - M W Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - R Li
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - N Li
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - X R Li
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - J Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
| | - X L Wei
- School Health Department, Xi'an Center for Disease Control and Prevention, Xi'an 710043, China
| | - Q Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China
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137
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Wei H, Yin X, Tang H, Gao Y, Liu B, Wu Q, Tian Q, Hao Y, Bi H, Guo D. Hypomethylation of Notch1 DNA is associated with the occurrence of uveitis. Clin Exp Immunol 2020; 201:317-327. [PMID: 32479651 DOI: 10.1111/cei.13471] [Citation(s) in RCA: 8] [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: 02/09/2020] [Revised: 04/24/2020] [Accepted: 05/20/2020] [Indexed: 11/28/2022] Open
Abstract
Uveitis is a serious intra-ocular inflammatory disease that can lead to visual impairment even blindness worldwide. Notch signaling can regulate the differentiation of naive CD4+ T cells, influencing the development of uveitis. DNA methylation is closely related to the autoimmune diseases. In this study, we measured the Notch1 DNA methylation level, determined the Notch1 and related DNA methylases mRNA expression and evaluated the ratio of T helper type 17 regulatory T cell (Th17/Treg ) in peripheral blood mononuclear cells (PBMCs) from uveitis patients and normal control subjects; we also tested the levels of relevant inflammatory cytokines in serum from the participants. Results indicated that compared with those in normal control individuals, the expression of ten-eleven translocation 2 (TET2) and Notch1 mRNA is elevated in uveitis patients, whereas the methylation level in Notch1 DNA promotor region [-842 ~ -646 base pairs (bp)] is down-regulated, and is unrelated to anatomical location. Moreover, the Th17/Treg ratio is up-regulated in PBMCs from uveitis patients, accompanied by the elevated levels of proinflammatory cytokines [e.g. interleukin (IL)-2, IL-6, IL-17 and interferon (IFN)-γ] in serum from uveitis patients. These findings suggest that the over-expression of TET2 DNA demethylase may lead to hypomethylation of Notch1, activate the Notch1 signaling, induce naive CD4+ T cells to differentiate theTh17 subset and thus disturb the balance of the Th17/Treg ratio in uveitis patients. Overall, hypomethylation of Notch1 DNA is closely associated with the occurrence of uveitis. Our study preliminarily reveals the underlying mechanism for the occurrence of uveitis related to the hypomethylation of Notch1 DNA, providing a novel therapeutic strategy against uveitis in clinical practice.
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Affiliation(s)
- H Wei
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - X Yin
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - H Tang
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Y Gao
- Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Shandong, Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases in Universities, Shandong, Eye Institute of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - B Liu
- Department of Blood Transfusion, Linyi People's Hospital, Linyi, China
| | - Q Wu
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Q Tian
- Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Y Hao
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - H Bi
- Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Shandong, Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases in Universities, Shandong, Eye Institute of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - D Guo
- Shandong Provincial Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases, Shandong, Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Therapy of Ocular Diseases in Universities, Shandong, Eye Institute of Shandong University of Traditional Chinese Medicine, Jinan, China
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138
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Tan HW, Liu XQ, Zhang P, Zhang CH, Wu Q, Liu XX. [Percutaneous closure of a left ventricular pseudoaneurysm: a case report]. Zhonghua Xin Xue Guan Bing Za Zhi 2020; 48:515-517. [PMID: 32842264 DOI: 10.3760/cma.j.cn112148-20190506-00222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- H W Tan
- Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| | - X Q Liu
- Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| | - P Zhang
- Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| | - C H Zhang
- Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| | - Q Wu
- Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| | - X X Liu
- Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang 550002, China
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139
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Wu Q, Zhong L, Xie X. The value of four imaging modalities to distinguish malignant from benign solitary pulmonary nodules: a study based on 73 cohorts incorporating 7956 individuals. Clin Transl Oncol 2020; 23:296-310. [PMID: 32548796 DOI: 10.1007/s12094-020-02418-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 06/02/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND Solitary pulmonary nodules (SPNs) frequently bother oncologists. The differentiation of malignant from benign nodules with non-invasive approach remains a tough challenge. This study was designed to assess the diagnostic accuracy of dynamic computed tomography (CT), dynamic magnetic resonance imaging (MRI), fluorine 18 fluorodeoxyglucose (18F-FDG) positron emission tomography (PET), and technetium 99 m (99mTc) depreotide single photon emission computed tomography (SPECT) for SPNs. METHODS Electronic databases of MEDLINE, PubMed, EMBASE, and Cochrane Library were searched to identify relevant trials. The primary evaluation index of diagnostic accuracy was areas under the summary receiver-operating characteristic (SROC) curve. The results were analyzed utilizing Stata 12.0 statistical software. RESULTS Seventy-three trials incorporating 7956 individuals were recruited. Sensitivities, specificities, positive likelihood ratios, negative likelihood ratios, diagnostic score, diagnostic odds ratios, and areas under the SROC curve with 95% confidence intervals were, respectively, 0.92 (0.89-0.95), 0.64 (0.54-0.74), 2.60 (1.98-3.42), 0.12 (0.08-0.17), 3.10 (2.62-3.59), 22.24 (13.67-36.17), and 0.91 (0.88-0.93) for CT; 0.92 (0.86-0.95), 0.85 (0.77-0.90), 6.01 (3.90-9.24), 0.10 (0.06-0.17), 4.12 (3.41-4.82), 61.39 (30.41-123.93), and 0.94 (0.92-0.96) for MRI; 0.90 (0.86-0.93), 0.73 (0.65-0.79), 3.28 (2.56-4.20), 0.14 (0.10-0.19), 3.16 (2.69-3.64), 23.68 (14.74-38.05), and 0.90 (0.87-0.92) for 18F-FDG PET; and 0.93 (0.88-0.96), 0.70 (0.56-0.81), 3.12 (2.03-4.81), 0.10 (0.06-0.17), 3.43 (2.63-4.22), 30.74 (13.84-68.27), and 0.93 (0.91-0.95) for 99mTc-depreotide SPECT. CONCLUSION The dynamic MRI, dynamic CT, 18F-FDG PET, and 99mTc-depreotide SPECT were favorable non-invasive approaches to distinguish malignant SPNs from benign. Moreover, from the viewpoint of cost-effectiveness and avoiding radiation, the dynamic MRI was recommendable for SPNs.
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Affiliation(s)
- Q Wu
- Department of Oncology, The First Affiliated Hospital of Fujian Medical University, Chazhong Road No 20, Fuzhou, 350005, Fujian, China
| | - L Zhong
- Department of Oncology, The First Affiliated Hospital of Fujian Medical University, Chazhong Road No 20, Fuzhou, 350005, Fujian, China.,Department of Medical Oncology, The Second Hospital of Longyan, Fujian, 364000, China
| | - X Xie
- Department of Oncology, The First Affiliated Hospital of Fujian Medical University, Chazhong Road No 20, Fuzhou, 350005, Fujian, China.
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140
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Abu-Rustum RS, Akolekar R, Sotiriadis A, Salomon LJ, Costa FDS, Wu Q, Frusca T, Bilardo CM, Prefumo F, Poon LC. ISUOG Consensus Statement on organization of routine and specialist obstetric ultrasound services in context of COVID-19. Ultrasound Obstet Gynecol 2020; 55:863-870. [PMID: 32233049 DOI: 10.1002/uog.22029] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Affiliation(s)
- R S Abu-Rustum
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Florida College of Medicine, Gainesville, FL, USA
| | - R Akolekar
- Fetal Medicine Unit, Medway NHS Foundation Trust, Gillingham, UK
- Institute of Medical Sciences, Canterbury Christ Church University, Kent, UK
| | - A Sotiriadis
- Second Department of Obstetrics and Gynecology, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - L J Salomon
- Obstétrique et Plateforme LUMIERE, Hôpital Necker-Enfants Malades (AP-HP) et Université de Paris, Paris, France
| | - F Da Silva Costa
- Department of Gynecology and Obstetrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
- Department of Obstetrics and Gynaecology, Monash University, Meulbourne, Australia
| | - Q Wu
- Department of Ultrasound, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, P.R. China
| | - T Frusca
- Obstetrics and Gynecology Unit, University of Parma, Parma, Italy
| | - C M Bilardo
- Department of Obstetrics, Gynaecology and Fetal Medicine, AmsterdamUmc, Location VUmc, Amsterdam, The Netherlands
| | - F Prefumo
- Department of Clinical and Experimental Sciences, University of Brescia, Italy
| | - L C Poon
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong SAR
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141
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Aprà E, Bylaska EJ, de Jong WA, Govind N, Kowalski K, Straatsma TP, Valiev M, van Dam HJJ, Alexeev Y, Anchell J, Anisimov V, Aquino FW, Atta-Fynn R, Autschbach J, Bauman NP, Becca JC, Bernholdt DE, Bhaskaran-Nair K, Bogatko S, Borowski P, Boschen J, Brabec J, Bruner A, Cauët E, Chen Y, Chuev GN, Cramer CJ, Daily J, Deegan MJO, Dunning TH, Dupuis M, Dyall KG, Fann GI, Fischer SA, Fonari A, Früchtl H, Gagliardi L, Garza J, Gawande N, Ghosh S, Glaesemann K, Götz AW, Hammond J, Helms V, Hermes ED, Hirao K, Hirata S, Jacquelin M, Jensen L, Johnson BG, Jónsson H, Kendall RA, Klemm M, Kobayashi R, Konkov V, Krishnamoorthy S, Krishnan M, Lin Z, Lins RD, Littlefield RJ, Logsdail AJ, Lopata K, Ma W, Marenich AV, Martin Del Campo J, Mejia-Rodriguez D, Moore JE, Mullin JM, Nakajima T, Nascimento DR, Nichols JA, Nichols PJ, Nieplocha J, Otero-de-la-Roza A, Palmer B, Panyala A, Pirojsirikul T, Peng B, Peverati R, Pittner J, Pollack L, Richard RM, Sadayappan P, Schatz GC, Shelton WA, Silverstein DW, Smith DMA, Soares TA, Song D, Swart M, Taylor HL, Thomas GS, Tipparaju V, Truhlar DG, Tsemekhman K, Van Voorhis T, Vázquez-Mayagoitia Á, Verma P, Villa O, Vishnu A, Vogiatzis KD, Wang D, Weare JH, Williamson MJ, Windus TL, Woliński K, Wong AT, Wu Q, Yang C, Yu Q, Zacharias M, Zhang Z, Zhao Y, Harrison RJ. NWChem: Past, present, and future. J Chem Phys 2020; 152:184102. [PMID: 32414274 DOI: 10.1063/5.0004997] [Citation(s) in RCA: 275] [Impact Index Per Article: 68.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties. In this regard, electronic structure packages have played a special role by using first-principle-driven methodologies to model complex chemical and materials processes. Over the past few decades, the rapid development of computing technologies and the tremendous increase in computational power have offered a unique chance to study complex transformations using sophisticated and predictive many-body techniques that describe correlated behavior of electrons in molecular and condensed phase systems at different levels of theory. In enabling these simulations, novel parallel algorithms have been able to take advantage of computational resources to address the polynomial scaling of electronic structure methods. In this paper, we briefly review the NWChem computational chemistry suite, including its history, design principles, parallel tools, current capabilities, outreach, and outlook.
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Affiliation(s)
- E Aprà
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - E J Bylaska
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - W A de Jong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - N Govind
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - K Kowalski
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - T P Straatsma
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - M Valiev
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - H J J van Dam
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y Alexeev
- Argonne Leadership Computing Facility, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - J Anchell
- Intel Corporation, Santa Clara, California 95054, USA
| | - V Anisimov
- Argonne Leadership Computing Facility, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - F W Aquino
- QSimulate, Cambridge, Massachusetts 02139, USA
| | - R Atta-Fynn
- Department of Physics, The University of Texas at Arlington, Arlington, Texas 76019, USA
| | - J Autschbach
- Department of Chemistry, University at Buffalo, State University of New York, Buffalo, New York 14260, USA
| | - N P Bauman
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - J C Becca
- Department of Chemistry, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - D E Bernholdt
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | | | - S Bogatko
- 4G Clinical, Wellesley, Massachusetts 02481, USA
| | - P Borowski
- Faculty of Chemistry, Maria Curie-Skłodowska University in Lublin, 20-031 Lublin, Poland
| | - J Boschen
- Department of Chemistry, Iowa State University, Ames, Iowa 50011, USA
| | - J Brabec
- J. Heyrovský Institute of Physical Chemistry, Academy of Sciences of the Czech Republic, 18223 Prague 8, Czech Republic
| | - A Bruner
- Department of Chemistry and Physics, University of Tennessee at Martin, Martin, Tennessee 38238, USA
| | - E Cauët
- Service de Chimie Quantique et Photophysique (CP 160/09), Université libre de Bruxelles, B-1050 Brussels, Belgium
| | - Y Chen
- Facebook, Menlo Park, California 94025, USA
| | - G N Chuev
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Science, Pushchino, Moscow Region 142290, Russia
| | - C J Cramer
- Department of Chemistry, Chemical Theory Center, and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J Daily
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - M J O Deegan
- SKAO, Jodrell Bank Observatory, Macclesfield SK11 9DL, United Kingdom
| | - T H Dunning
- Department of Chemistry, University of Washington, Seattle, Washington 98195, USA
| | - M Dupuis
- Department of Chemistry, University at Buffalo, State University of New York, Buffalo, New York 14260, USA
| | - K G Dyall
- Dirac Solutions, Portland, Oregon 97229, USA
| | - G I Fann
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - S A Fischer
- Chemistry Division, U. S. Naval Research Laboratory, Washington, DC 20375, USA
| | - A Fonari
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - H Früchtl
- EaStCHEM and School of Chemistry, University of St. Andrews, St. Andrews KY16 9ST, United Kingdom
| | - L Gagliardi
- Department of Chemistry, Chemical Theory Center, and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J Garza
- Departamento de Química, División de Ciencias Básicas e Ingeniería, Universidad Autónoma Metropolitana-Iztapalapa, Col. Vicentina, Iztapalapa, C.P. 09340 Ciudad de México, Mexico
| | - N Gawande
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - S Ghosh
- Department of Chemistry, Chemical Theory Center, and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 5545, USA
| | - K Glaesemann
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - A W Götz
- San Diego Supercomputer Center, University of California, San Diego, La Jolla, California 92093, USA
| | - J Hammond
- Intel Corporation, Santa Clara, California 95054, USA
| | - V Helms
- Center for Bioinformatics, Saarland University, D-66041 Saarbrücken, Germany
| | - E D Hermes
- Combustion Research Facility, Sandia National Laboratories, Livermore, California 94551, USA
| | - K Hirao
- Next-generation Molecular Theory Unit, Advanced Science Institute, RIKEN, Saitama 351-0198, Japan
| | - S Hirata
- Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - M Jacquelin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - L Jensen
- Department of Chemistry, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - B G Johnson
- Acrobatiq, Pittsburgh, Pennsylvania 15206, USA
| | - H Jónsson
- Faculty of Physical Sciences, University of Iceland, Reykjavík, Iceland and Department of Applied Physics, Aalto University, FI-00076 Aalto, Espoo, Finland
| | - R A Kendall
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - M Klemm
- Intel Corporation, Santa Clara, California 95054, USA
| | - R Kobayashi
- ANU Supercomputer Facility, Australian National University, Canberra, Australia
| | - V Konkov
- Chemistry Program, Florida Institute of Technology, Melbourne, Florida 32901, USA
| | - S Krishnamoorthy
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - M Krishnan
- Facebook, Menlo Park, California 94025, USA
| | - Z Lin
- Department of Physics, University of Science and Technology of China, Hefei, China
| | - R D Lins
- Aggeu Magalhaes Institute, Oswaldo Cruz Foundation, Recife, Brazil
| | | | - A J Logsdail
- Cardiff Catalysis Institute, School of Chemistry, Cardiff University, Cardiff, Wales CF10 3AT, United Kingdom
| | - K Lopata
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - W Ma
- Institute of Software, Chinese Academy of Sciences, Beijing, China
| | - A V Marenich
- Department of Chemistry, Chemical Theory Center, and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J Martin Del Campo
- Departamento de Física y Química Teórica, Facultad de Química, Universidad Nacional Autónoma de México, México City, Mexico
| | - D Mejia-Rodriguez
- Quantum Theory Project, Department of Physics, University of Florida, Gainesville, Florida 32611, USA
| | - J E Moore
- Intel Corporation, Santa Clara, California 95054, USA
| | - J M Mullin
- DCI-Solutions, Aberdeen Proving Ground, Maryland 21005, USA
| | - T Nakajima
- Computational Molecular Science Research Team, RIKEN Center for Computational Science, Kobe, Hyogo 650-0047, Japan
| | - D R Nascimento
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - J A Nichols
- Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA
| | - P J Nichols
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - J Nieplocha
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - A Otero-de-la-Roza
- Departamento de Química Física y Analítica, Facultad de Química, Universidad de Oviedo, 33006 Oviedo, Spain
| | - B Palmer
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - A Panyala
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - T Pirojsirikul
- Department of Chemistry, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand
| | - B Peng
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - R Peverati
- Chemistry Program, Florida Institute of Technology, Melbourne, Florida 32901, USA
| | - J Pittner
- J. Heyrovský Institute of Physical Chemistry, Academy of Sciences of the Czech Republic, v.v.i., 18223 Prague 8, Czech Republic
| | - L Pollack
- StudyPoint, Boston, Massachusetts 02114, USA
| | | | - P Sadayappan
- School of Computing, University of Utah, Salt Lake City, Utah 84112, USA
| | - G C Schatz
- Department of Chemistry, Northwestern University, Evanston, Illinois 60208, USA
| | - W A Shelton
- Cain Department of Chemical Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | | | - D M A Smith
- Intel Corporation, Santa Clara, California 95054, USA
| | - T A Soares
- Dept. of Fundamental Chemistry, Universidade Federal de Pernambuco, Recife, Brazil
| | - D Song
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - M Swart
- ICREA, 08010 Barcelona, Spain and Universitat Girona, Institut de Química Computacional i Catàlisi, Campus Montilivi, 17003 Girona, Spain
| | - H L Taylor
- CD-adapco/Siemens, Melville, New York 11747, USA
| | - G S Thomas
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - V Tipparaju
- Cray Inc., Bloomington, Minnesota 55425, USA
| | - D G Truhlar
- Department of Chemistry, Chemical Theory Center, and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - T Van Voorhis
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Á Vázquez-Mayagoitia
- Argonne Leadership Computing Facility, Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - P Verma
- 1QBit, Vancouver, British Columbia V6E 4B1, Canada
| | - O Villa
- NVIDIA, Santa Clara, California 95051, USA
| | - A Vishnu
- Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - K D Vogiatzis
- Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37996, USA
| | - D Wang
- College of Physics and Electronics, Shandong Normal University, Jinan, Shandong 250014, China
| | - J H Weare
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, USA
| | - M J Williamson
- Department of Chemistry, Cambridge University, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - T L Windus
- Department of Chemistry, Iowa State University and Ames Laboratory, Ames, Iowa 50011, USA
| | - K Woliński
- Faculty of Chemistry, Maria Curie-Skłodowska University in Lublin, 20-031 Lublin, Poland
| | - A T Wong
- Qwil, San Francisco, California 94107, USA
| | - Q Wu
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - C Yang
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - Q Yu
- AMD, Santa Clara, California 95054, USA
| | - M Zacharias
- Department of Physics, Technical University of Munich, 85748 Garching, Germany
| | - Z Zhang
- Stanford Research Computing Center, Stanford University, Stanford, California 94305, USA
| | - Y Zhao
- State Key Laboratory of Silicate Materials for Architectures, International School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China
| | - R J Harrison
- Institute for Advanced Computational Science, Stony Brook University, Stony Brook, New York 11794, USA
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Jiang YN, Wang YX, Zheng YJ, Hu XY, He F, Shi WJ, Wu Q, Xia ZF, Xiao SC. [Clinical study of cell sheets containing allogeneic keratinocytes and fibroblasts for the treatment of partial-thickness burn wounds]. Zhonghua Shao Shang Za Zhi 2020; 36:171-178. [PMID: 32241042 DOI: 10.3760/cma.j.cn501120-20191113-00426] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the efficacy and safety of cell sheets containing allogeneic keratinocytes and fibroblasts in the treatment of partial-thickness burn wounds. Methods: The cell sheets containing allogeneic keratinocytes and fibroblasts were constructed using polyurethane biofilm as carrier. Then gross observation and histological observation were conducted. From April 2016 to December 2017, Changhai Hospital of Naval Medical University recruited patients with acute partial-thickness burn wounds that met the inclusion criteria for this prospective and positively self-controlled clinical trial. Recruitment of 40 acute partial-thickness burn wounds were planned with each selected single wound being not smaller than 10 cm×10 cm and not more than 5% total body surface area (TBSA). Each wound was equally divided into two areas, which were recruited into cell sheet group and conventional treatment group according to the random number table. The wounds in cell sheet group were covered by cell sheet and then sterile gauze as secondary dressings. Depending on the wound healing and exudation, the sterile gauze was replaced every 1 to 3 day (s) after the treatment was started, and the cell sheet was replaced every 7 days (namely dressing changing). The wounds in conventional treatment group were covered by sulfadiazine silver cream gauze and then dressed with sterile gauze, with the dressings changed every 2 to 3 days depending on wound exudation. On treatment day 5, 7, 10, and 14, the wound healing rates in the two groups were calculated. The complete wound healing time, the total number of dressing changes, and the status of wound infection during treatment were recorded. The Visual Analogue Scale was used to score the pain at the first dressing change. Scar formation of patients was followed up for 6 to 12 months after injury. Safety indicators including vital signs, laboratory examination indexes, and adverse reactions during treatment were observed. Data were statistically analysed with Wilcoxon rank sum test and Bonferroni correction. Results: (1) Each prepared cell sheet had a diameter of about 8 cm and was about 49 cm(2) in size, containing 2 or 3 layers of keratinocytes and fibroblasts. (2) A total of 43 patients were enrolled, of whom 3 patients dropped out of the study. Of the 40 patients who completed the treatment, there were 22 males and 18 females who were aged 1 to 57 year (s), with total burn area of 2% to 26% TBSA. (3) On treatment day 5, 7, 10, and 14, the wound healing rates in cell sheet group were significantly higher than those in conventional treatment group (Z=4.205, 4.258, 3.495, 2.521, P<0.05 or P<0.01). The complete wound healing time in cell sheet group was 7 (6, 8) days, which was significantly shorter than 11 (7, 14) days in conventional treatment group (Z=4.219, P<0.01). The total number of wound dressing changes in cell sheet group was 1 (1, 2) times, which was significantly less than 6 (4, 7) times in conventional treatment group (Z=5.464, P<0.01). (4) The wounds in cell sheet group in 31 patients healed before the first dressing change. The pain score of wounds in the first dressing change in cell sheet group of 9 patients was 1 (0, 1) point, while the pain score of wounds in the first dressing change in conventional treatment group of 40 patients was 2 (1, 3) points. There was no obvious infection in the wounds in both groups of 40 patients before the wound healing. Nine patients completed the follow-up after the trial. In 6 patients, no scar formation was observed in cell sheet group or conventional treatment group. The color of wounds in cell sheet group was consistent with normal skin, and there was only a small amount of pigment deposition in the wounds of conventional treatment group. Three patients developed pigment deposition only in the wounds of cell sheet group but obvious scars in conventional treatment group. (5) The abnormal fluctuations of vital signs including body temperature, blood pressure, heart rate, respiratory rate, and laboratory examination indexes of all patients during treatment were alleviated through the process of burn wound healing. No obvious adverse reactions or abnormalities related to the treatment were observed. Conclusions: The cell sheet containing allogeneic keratinocytes and fibroblasts can reduce the number of dressing changes, accelerate wound epithelialization, shorten wound healing time, reduce pain during dressing change in the treatment of partial-thickness burn wounds, and it may reduce scar hyperplasia after wound healing because of accelerating wound epithelization. Its clinical application is simple, safe, and effective.
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Affiliation(s)
- Y N Jiang
- Burn Institute of PLA, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Y X Wang
- Burn Institute of PLA, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Y J Zheng
- Burn Institute of PLA, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - X Y Hu
- Burn Institute of PLA, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - F He
- Burn Institute of PLA, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - W J Shi
- Jiaofa Herui Biotechnology (Rizhao) Company Limited, Shanghai 200129, China
| | - Q Wu
- Burn Institute of PLA, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Z F Xia
- Burn Institute of PLA, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - S C Xiao
- Burn Institute of PLA, Department of Burn Surgery, Changhai Hospital, Naval Medical University, Shanghai 200433, China
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143
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Wu Q, Li L, Wu Q. [Anticoagulant treatment for subsegmental pulmonary embolism]. Zhonghua Jie He He Hu Xi Za Zhi 2020; 43:464-465. [PMID: 32450637 DOI: 10.3760/cma.j.cn.112147-20191017-00696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
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144
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Xiao X, Wu Q. Association between a literature-based genetic risk score and bone mineral density of African American women in Women Health Initiative Study. Osteoporos Int 2020; 31:913-920. [PMID: 31786628 PMCID: PMC7176548 DOI: 10.1007/s00198-019-05244-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 11/19/2019] [Indexed: 11/29/2022]
Abstract
UNLABELLED Genetic risk of low BMD in African American women remains unclear. Based on SNPs discovered from a predominantly Caucasian sample, genetic profile was summarized and was found to be significantly associated with BMD variation in African American women. INTRODUCTION Osteoporosis is largely under-recognized and undertreated in African-American women, the post-fracture morbidity and mortality rates in this racial group is rather high. Since BMD was proved to be highly heritable, based on a comprehensive genome-wide meta-analysis that reported 63 BMD-related single nucleotide polymorphisms (SNPs), we aim to unravel the overall genetic risk for decreased BMD and osteoporosis in African-American women. METHODS Genotype data of 842 African American women in a Women's Health Initiative cohort were analyzed. Comprehensive genotype imputation was conducted at the Sanger Imputation Server. Multi-locus genetic risk scores (GRSs) based on 62 BMD-related single-nucleotide polymorphisms (SNPs) were calculated. The association between GRS and BMD was assessed by regression analysis. Longitudinal data was further analyzed using a generalized estimating equation, which helps achieve more efficient and unbiased regression parameters by accounting for the within-subject correlation of responses on dependent variables. RESULTS After adjusting for age, body weight, hormone use, and previous fracture, for every unit increase of GRS.FN and GRS.LS, BMD at hip and lumbar spine decreased 0.124 g/cm2 and 0.086 g/cm2, respectively. Collectively, the model accounted for 34.95% of the femoral neck BMD variation and 25.79% of lumbar spine BMD variation. Notably, GRS.FN and GRS.LS accounted for 2.03% and 2.39% of the total explained variance, respectively. The proportion of BMD variation can be explained by GRSs increasing as participants aged. CONCLUSIONS Genetic risk score was significantly associated with lower BMD in the current study, suggesting that SNPs discovered from prior meta-analysis based on primarily Caucasian population can also explain a considerable proportion of BMD variation in African Americans.
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Affiliation(s)
- X Xiao
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, NV, USA
- Department of Environmental and Occupational Health, School of Public Health, University of Nevada, Las Vegas, NV, USA
| | - Q Wu
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, NV, USA.
- Department of Environmental and Occupational Health, School of Public Health, University of Nevada, Las Vegas, NV, USA.
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145
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Wu Q, Li JD, Liu FX, Xiao JC, Tang YF, Zi QL. Synthesis, Crystallographic Structure, Hirshfeld Surface Analysis, and DFT Calculations of Two Salen-Type Hetero-Halogenated Schiff Base Mn(IV)/(III) Complexes. RUSS J COORD CHEM+ 2020. [DOI: 10.1134/s1070328420020086] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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146
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Wu Q, Zhou L. SUN-164 CXCR4-AngII axis plays an important role in glomerular injury through promoting the crosstalk between podocytes and mesangial cells. Kidney Int Rep 2020. [DOI: 10.1016/j.ekir.2020.02.693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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147
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Jia ZH, Tong AL, Sun LT, Liu YG, Liu JL, Wu Q, Fang X, Yang WS, Guo YH, Ritterbusch F, Lu ZT, Jiang W, Yang GM, Chen QW. An electromagnetic separation system for the enrichment of 39Ar. Rev Sci Instrum 2020; 91:033309. [PMID: 32259973 DOI: 10.1063/1.5128697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 02/18/2020] [Indexed: 06/11/2023]
Abstract
An isotope enrichment system for 39Ar has been developed at the Institute of Modern Physics, which is designed to increase the abundance of 39Ar in the incident sample gas. With intense Ar+ beams produced by a 2.45 GHz electron cyclotron resonance ion source and a high mass resolution spectrometer system, Ar isotopes are evidently separated on the target plane and selectively collected by an Al target. The separated Ar isotopes have been identified on the target plane, which is consistent with the simulations. According to the recent cross-checked results with atom trap trace analysis, a high enrichment factor of 39Ar has been successfully achieved. This paper will present the design and test results of this system.
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Affiliation(s)
- Z H Jia
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Amin L Tong
- Hefei National Laboratory for Physical Sciences at the Microscale, CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, China
| | - L T Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y G Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J L Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Q Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - X Fang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - W S Yang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Y H Guo
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - F Ritterbusch
- Hefei National Laboratory for Physical Sciences at the Microscale, CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, China
| | - Z-T Lu
- Hefei National Laboratory for Physical Sciences at the Microscale, CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, China
| | - W Jiang
- Hefei National Laboratory for Physical Sciences at the Microscale, CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, China
| | - G M Yang
- Hefei National Laboratory for Physical Sciences at the Microscale, CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, China
| | - Q W Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
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148
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Liu YG, Liu JL, Wu Q, Sun LT. Ion beam production with an antenna type 2.45 GHz electron cyclotron resonance ion source. Rev Sci Instrum 2020; 91:023301. [PMID: 32113396 DOI: 10.1063/1.5128393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 01/12/2020] [Indexed: 06/10/2023]
Abstract
A very compact permanent magnet 2.45 GHz electron cyclotron resonance ion source has been designed and developed for various purposes. The microwave power is coupled into the plasma chamber using the coaxial antenna instead of the waveguide, the magnetic field is produced by two NdFeB permanent magnet rings, and the diameter of the source body is only 10 cm. The beam current under different conditions was measured. A maximum of 5.8 mA H+/H2 +/H3 + mixed beam could be extracted from a 5.5 mm diameter extraction aperture.
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Affiliation(s)
- Y G Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - J L Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Q Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - L T Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China
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149
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Sun L, Zhao HW, Zhao HY, Lu W, Guo JW, Cao Y, Wu Q, Qian C, Yang Y, Fang X, Zhang ZM, Zhang XZ, Guo XH, Liu ZW. Overview of high intensity ion source development in the past 20 years at IMP. Rev Sci Instrum 2020; 91:023310. [PMID: 32113417 DOI: 10.1063/1.5129399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 01/20/2020] [Indexed: 06/10/2023]
Abstract
Ion source development over the last 20 years at the IMP is reviewed. For versatile purposes, several types of ion sources have been involved in the research and development work at the IMP, i.e., the highly charged ECR (Electron Cyclotron Resonance) ion source, intense microwave ion source or the 2.45 GHz intense beam ECR ion source, and laser ion source (LIS). In the development of ECR ion sources, SECRAL (Superconducting ECR ion source with Advanced design in Lanzhou), Lanzhou ECR ion source, and Lanzhou all permanent magnet ECR ion source series have been made, which can cover the operation microwave frequency range of 10-28 GHz. The LIS with an Nd:YAG laser with a maximum output energy of 8 J in 8 ns pulse duration has been developed for very intense short pulse ion beams from solid materials such as C, Ti, Ni, Ag, and so on. Microwave ion sources have been built to produce intense pulsed or direct current beams from several mA to 100 mA for either high intensity accelerators or applications. This paper will give an overview of the high intensity ion source development at the IMP, especially on the recent progress and new results, such as the status of the fourth generation ECR ion source (first fourth generation ECR ion source), the production of recorded highly charged ion beams with SECRAL sources, key technology research studies, and so on.
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Affiliation(s)
- L Sun
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - H W Zhao
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - H Y Zhao
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - W Lu
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - J W Guo
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Y Cao
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Q Wu
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - C Qian
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Y Yang
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - X Fang
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Z M Zhang
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - X Z Zhang
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - X H Guo
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
| | - Z W Liu
- Institute of Modern Physics (IMP), Chinese Academy of Sciences (CAS), Lanzhou 730000, China
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150
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Wang YX, Geng HY, Wu Q, Chen XR. Orbital localization error of density functional theory in shear properties of vanadium and niobium. J Chem Phys 2020; 152:024118. [PMID: 31941306 DOI: 10.1063/1.5136052] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
It is believed that the density functional theory (DFT) describes most elements with s, p, and d orbitals very well, except some materials that have strongly localized and correlated valence electrons. In this work, we find that the widely employed exchange-correlation (XC) functionals, including local-density approximation (LDA), generalized gradient approximation (GGA), and meta-GGA, underestimate the shear modulus and phase stability of V and Nb greatly. The advanced hybrid functional that is usually better for correlated systems, on the other hand, completely fails in these two simple metals. This striking failure is revealed due to the orbital localization error in GGA, which is further deteriorated by hybrid functionals. This observation is corroborated by a similar failure of DFT+U and van der Waals functionals when applied to V and Nb. To remedy this problem, a semiempirical approach of DFT+J is proposed, which can delocalize electrons by facilitating the on-site exchange. Furthermore, it is observed that including density derivatives slightly improves the performance of the semilocal functionals, with meta-GGA outperforms GGA, and the latter is better than LDA. This discovery indicates the possibility and necessity to include higher-order density derivatives beyond the Laplacian level for the purpose of removing the orbital localization error (mainly from d orbitals) and delocalization error (mainly from s and p orbitals) completely in V and Nb so that a better description of their electronic structures is achieved. The same strategy can be applied to the other d electron system and f electron system.
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Affiliation(s)
- Yi X Wang
- National Key Laboratory of Shock Wave and Detonation Physics, Institute of Fluid Physics, CAEP, Mianyang 621900, Sichuan, People's Republic of China
| | - Hua Y Geng
- National Key Laboratory of Shock Wave and Detonation Physics, Institute of Fluid Physics, CAEP, Mianyang 621900, Sichuan, People's Republic of China
| | - Q Wu
- National Key Laboratory of Shock Wave and Detonation Physics, Institute of Fluid Physics, CAEP, Mianyang 621900, Sichuan, People's Republic of China
| | - Xiang R Chen
- Institute of Atomic and Molecular Physics, College of Physical Science and Technology, Sichuan University, Chengdu 610064, China
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