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Rajagopal S, Yao X, Abadir W, Baetz TD, Easson AM, Knight G, McWhirter E, Nessim C, Rosen CF, Sun A, Wright FC, Petrella TM. An Ontario Health (Cancer Care Ontario) Clinical Practice Guideline: Surveillance Strategies in Patients with Stage I, II, III or Resectable IV Melanoma Who Were Treated with Curative Intent. Clin Oncol (R Coll Radiol) 2024; 36:243-253. [PMID: 38336503 DOI: 10.1016/j.clon.2024.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/20/2023] [Accepted: 01/15/2024] [Indexed: 02/12/2024]
Abstract
AIMS To make recommendations on managing the surveillance of patients with stage I, II, III or resectable IV melanoma who are clinically free of disease following treatment with curative intent. MATERIALS AND METHODS This guideline was developed by Ontario Health's (Cancer Care Ontario's) Program in Evidence-Based Care and the Melanoma Disease Site Group (including seven medical oncologists, four surgical oncologists, three dermatologists, one radiation oncologist and one patient representative). The MEDLINE, EMBASE, Cochrane Library, PROSPERO databases and the main relevant guideline websites were searched. Internal and external reviews were conducted, with final approval by the Program in Evidence-Based Care and the Melanoma Disease Site Group. The Grading of Recommendations, Assessment, Development and Evaluation approach was followed, and the Modified Delphi method was used. RESULTS Based on the current evidence (eight eligible original study papers and four relevant guidelines) and the clinical opinions of the authors of this guideline, the initial recommendations were made. To reach 75% agreement for each recommendation, the Melanoma Disease Site Group (16 members) voted twice and one recommendation was voted on three times. After a comprehensive internal and external review process (including national and international reviewers), 12 recommendations, three weak recommendations and six qualified statements were ultimately made. CONCLUSIONS After a systematic review, a comprehensive internal and external review process and a consensus process, the current guideline has been created. The guideline authors believe that this guideline will help clinicians, patients and policymakers make well-informed healthcare decisions that will guide them in clinical melanoma surveillance and ultimately assist in improving patient outcomes.
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Affiliation(s)
- S Rajagopal
- Trillium Health Partners, Credit Valley Hospital, Peel Regional Cancer Centre, Mississauga, Ontario, Canada.
| | - X Yao
- Department of Oncology, Department of Health Research Methods Evidence and Impact, McMaster University, Hamilton, Ontario, Canada; Program in Evidence-Based Care, Ontario Health (Cancer Care Ontario), Hamilton, Ontario, Canada.
| | - W Abadir
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Ontario, Canada
| | - T D Baetz
- Cancer Centre of Southeastern Ontario, Queen's Cancer Research Institute, Kingston, Ontario, Canada
| | - A M Easson
- Department of Surgery, Marvelle Koffler Breast Centre, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - G Knight
- Department of Oncology, Grand River Regional Cancer Centre, Grand River Hospital, Kitchener, Ontario, Canada
| | - E McWhirter
- Department of Medical Oncology, Juravinski Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - C Nessim
- Department of Surgery, University of Ottawa, The Ottawa Hospital, Ottawa, Ontario, Canada
| | - C F Rosen
- Division of Dermatology, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - A Sun
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - F C Wright
- Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - T M Petrella
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
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Sun A, Park P, Cole L, Vaidya H, Maegawa S, Keith K, Calendo G, Madzo J, Jelinek J, Jobin C, Issa JPJ. Non-pathogenic microbiota accelerate age-related CpG Island methylation in colonic mucosa. Epigenetics 2023; 18:2160568. [PMID: 36572998 PMCID: PMC9980687 DOI: 10.1080/15592294.2022.2160568] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 11/11/2022] [Indexed: 12/28/2022] Open
Abstract
DNA methylation is an epigenetic process altered in cancer and ageing. Age-related methylation drift can be used to estimate lifespan and can be influenced by extrinsic factors such as diet. Here, we report that non-pathogenic microbiota accelerate age-related methylation drift in the colon when compared with germ-free mice. DNA methylation analyses showed that microbiota and IL10KO were associated with changes in 5% and 4.1% of CpG sites, while mice with both factors had 18% alterations. Microbiota, IL10KO, and their combination altered 0.4%, 0.4%, and 4% of CpG island methylation, respectively. These are comparable to what is seen in colon cancer. Ageing changes were accelerated in the IL10KO mice with microbiota, and the affected genes were more likely to be altered in colon cancer. Thus, the microbiota affect DNA methylation of the colon in patterns reminiscent of what is observed in ageing and colorectal cancer.
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Affiliation(s)
- Ang Sun
- Fels Cancer Institute for Personalized Medicine, Temple University School of Medicine, Philadelphia, PA, United States
| | - Pyounghwa Park
- Fels Cancer Institute for Personalized Medicine, Temple University School of Medicine, Philadelphia, PA, United States
- Coriell Institute for Medical Research, Camden, NJ, United States
| | - Lauren Cole
- Fels Cancer Institute for Personalized Medicine, Temple University School of Medicine, Philadelphia, PA, United States
| | - Himani Vaidya
- Fels Cancer Institute for Personalized Medicine, Temple University School of Medicine, Philadelphia, PA, United States
- Coriell Institute for Medical Research, Camden, NJ, United States
| | - Shinji Maegawa
- Fels Cancer Institute for Personalized Medicine, Temple University School of Medicine, Philadelphia, PA, United States
- Research Department of Pediatrics, University of Texas, MD Anderson Cancer Center Department of Pediatrics, University of Texas, MD Anderson Cancer CenterHouston, TX, USA
| | - Kelsey Keith
- Fels Cancer Institute for Personalized Medicine, Temple University School of Medicine, Philadelphia, PA, United States
- Coriell Institute for Medical Research, Camden, NJ, United States
| | - Gennaro Calendo
- Coriell Institute for Medical Research, Camden, NJ, United States
| | - Jozef Madzo
- Fels Cancer Institute for Personalized Medicine, Temple University School of Medicine, Philadelphia, PA, United States
- Coriell Institute for Medical Research, Camden, NJ, United States
| | - Jaroslav Jelinek
- Fels Cancer Institute for Personalized Medicine, Temple University School of Medicine, Philadelphia, PA, United States
- Coriell Institute for Medical Research, Camden, NJ, United States
| | - Christian Jobin
- Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Jean-Pierre J. Issa
- Fels Cancer Institute for Personalized Medicine, Temple University School of Medicine, Philadelphia, PA, United States
- Coriell Institute for Medical Research, Camden, NJ, United States
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Emma R, Fuochi V, Distefano A, Partsinevelos K, Rust S, Zadjali F, Al Tobi M, Zadjali R, Alharthi Z, Pulvirenti R, Furneri PM, Polosa R, Sun A, Caruso M, Li Volti G. Cytotoxicity, mutagenicity and genotoxicity of electronic cigarettes emission aerosols compared to cigarette smoke: the REPLICA project. Sci Rep 2023; 13:17859. [PMID: 37903810 PMCID: PMC10616076 DOI: 10.1038/s41598-023-44626-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 10/10/2023] [Indexed: 11/01/2023] Open
Abstract
Concerns have recently increased that the integrity of some scientific research is questionable due to the inability to reproduce the claimed results of some experiments and thereby confirm that the original researcher's conclusions were justified. This phenomenon has been described as 'reproducibility crisis' and affects various fields from medicine to basic applied sciences. In this context, the REPLICA project aims to replicate previously conducted in vitro studies on the toxicity of cigarette smoke and e-cigarette aerosol, sometimes adding experiments or conditions where necessary, in order to verify the robustness and replicability of the data. In this work the REPLICA Team replicated biological and toxicological assessment published by Rudd and colleagues in 2020. As in the original paper, we performed Neutral Red Uptake (NRU) assay for the evaluation of cytotoxicity, Ames test for the evaluation of mutagenesis and In Vitro Micronuclei (IVMN) assay for the evaluation of genotoxicity on cells treated with cigarette smoke or e-cigarette aerosol. The results showed high cytotoxicity, mutagenicity and genotoxicity induced by cigarette smoke, but slight or no cytotoxic, mutagenic and genotoxic effects induced by the e-cigarette aerosol. Although the two studies presented some methodological differences, the findings supported those previously presented by Rudd and colleagues.
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Affiliation(s)
- Rosalia Emma
- Department of Clinical and Experimental Medicine, University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
- Center of Excellence for the Acceleration of Harm Reduction (CoEHAR), University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
| | - Virginia Fuochi
- Center of Excellence for the Acceleration of Harm Reduction (CoEHAR), University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
| | - Alfio Distefano
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
| | - Konstantinos Partsinevelos
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
| | - Sonja Rust
- ECLAT Srl, Spin Off of the University of Catania, Via. S Sofia 89, 95123, Catania, Italy
| | - Fahad Zadjali
- Department of Clinical Biochemistry, College of Medicine and Health Sciences, Sultan Qaboos University, P.C 123, P.O. Box 35, Khodh, Oman
| | - Mohammed Al Tobi
- Department of Clinical Biochemistry, College of Medicine and Health Sciences, Sultan Qaboos University, P.C 123, P.O. Box 35, Khodh, Oman
| | - Razan Zadjali
- Department of Clinical Biochemistry, College of Medicine and Health Sciences, Sultan Qaboos University, P.C 123, P.O. Box 35, Khodh, Oman
| | - Zaina Alharthi
- Department of Clinical Biochemistry, College of Medicine and Health Sciences, Sultan Qaboos University, P.C 123, P.O. Box 35, Khodh, Oman
| | - Roberta Pulvirenti
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
| | - Pio Maria Furneri
- Center of Excellence for the Acceleration of Harm Reduction (CoEHAR), University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
| | - Riccardo Polosa
- Department of Clinical and Experimental Medicine, University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
- Center of Excellence for the Acceleration of Harm Reduction (CoEHAR), University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
- ECLAT Srl, Spin Off of the University of Catania, Via. S Sofia 89, 95123, Catania, Italy
| | - Ang Sun
- Department of Biology, College of Science and Technology, Sbarro Institute for Cancer Research and Molecular Medicine, Temple University, Philadelphia, USA
| | - Massimo Caruso
- Center of Excellence for the Acceleration of Harm Reduction (CoEHAR), University of Catania, Via S. Sofia, 97, 95123, Catania, Italy.
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia, 97, 95123, Catania, Italy.
| | - Giovanni Li Volti
- Center of Excellence for the Acceleration of Harm Reduction (CoEHAR), University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
- Department of Biomedical and Biotechnological Sciences, University of Catania, Via S. Sofia, 97, 95123, Catania, Italy
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Sugumar V, Sr RRS, Ye XY, Zhan L, Sun A, Bezjak A, Cho J, Raman S, Hope AJ, Giuliani ME, Leighl N, Sacher AG, Shepherd F, Bradbury P, Liu G, Lok BH. Survival Outcomes of Extensive Stage Small Cell Lung Cancer Patients Treated with Consolidative Thoracic Radiotherapy at a Tertiary Cancer Center. Int J Radiat Oncol Biol Phys 2023; 117:e60. [PMID: 37785810 DOI: 10.1016/j.ijrobp.2023.06.779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Most small cell lung cancer cases present as Stage IV (M1) or extensive stage (ES-SCLC), which are defined as tumor extending outside the hemithorax without a tolerable radiation portal. The CREST trial demonstrated improved local control with a modest overall survival (OS) benefit at the 2-year secondary endpoint of 14% survival with consolidative thoracic radiotherapy (CTRT) compared to 3% without CTRT. Low toxicity rates were also observed. This study reports our institutional ES-SCLC experience for patients treated with CTRT. MATERIALS/METHODS A retrospective review was conducted on ES-SCLC patients treated with CTRT at our institution between 2014 and 2019. CTRT was defined as ≥30 Gy of thoracic radiotherapy. OS and tolerability of treatment were assessed in this population. Chemotherapy details were also captured. OS rate was determined using the Kaplan-Meier method and the time from start of CTRT to last date of follow-up or death. CTRT tolerability was determined using incidence and grade of esophagitis and radiation pneumonitis as per CTCAE v5. RESULTS We identified 100 ES-SCLC patients treated with any thoracic RT at our institute, of which 45 received thoracic RT for palliative intent or with <30 Gy. The remaining 55 patients received ≥30 Gy CTRT and were included for analysis. The median age was 65.1 years (range 46.6-86.9) and 36 (65%) were male. The median follow-up for this sample was 0.8 (range 0.03-4.2) years. Median chemotherapy cycles were 6 (range 1-6), most receiving ≥4 cycles (87%) and completing chemotherapy prior to CTRT initiation (91%) with a minority concurrently receiving chemotherapy and CTRT (9%). Platinum chemotherapy was the most common (96%) with 2 patients receiving etoposide alone (4%). The most common CTRT regimens were 30 Gy in 10 fractions (80%) followed by 40 Gy in 15 fractions (9%) and 45 Gy in 30 twice-daily fractions (7%). Most patients (67%) were treated with IMRT/VMAT technique, while the remaining (33%) patients were treated with 3DCRT. The median survival time was 1.3 years with 1- and 2-year OS of 57.2% (CI 44.0 - 74.3%) and 26.1% (CI 12.9 - 52.7%), respectively. CTRT was well tolerated with no grade 4+ toxicities. The most common toxicity was esophagitis with 21 patients (39%), of which 15 were G1 (28%) and 6 were G2 (11%). Radiation pneumonitis was present in 5 patients (9.2%) with 1 G1 (2%), 3 G2 (6%), and 1 G3 (2%) cases. CONCLUSION Consolidative TRT for ES-SCLC in this institutional series was at least as good as the reported CREST outcome with modest acute toxicities in this cohort. Disease burden at diagnosis, chemotherapy response, patterns of failure, and subsequent therapies will be further investigated.
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Affiliation(s)
- V Sugumar
- Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - R R Salunkhe Sr
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - X Y Ye
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - L Zhan
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - A Sun
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A Bezjak
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J Cho
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S Raman
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A J Hope
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - M E Giuliani
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - N Leighl
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - A G Sacher
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - F Shepherd
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - P Bradbury
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - G Liu
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - B H Lok
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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5
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McNeil N, Bacon H, Kandel S, Patel T, Welch M, Ye XY, McIntosh C, Bezjak A, Lok BH, Raman S, Giuliani ME, Cho J, Sun A, Jr PEL, Liu G, Tadic T, Hope AJ. Clinical Acceptability of Artificial Intelligence-Screened Interstitial Lung Disease (AI-ILD) in Lung Cancer Patients Treated with Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:S20-S21. [PMID: 37784452 DOI: 10.1016/j.ijrobp.2023.06.243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Patients with interstitial lung disease (ILD) treated with thoracic radiotherapy (RT) are at greater risk of pulmonary toxicity. Automatic universal screening for ILD allows radiation oncologists (ROs) to risk stratify patients and implement necessary modifications to their respiratory monitoring or treatment. Automatic screening however may affect RO workload and so it is imperative to assess the clinical acceptability of this tool. MATERIALS/METHODS We have developed a machine learning algorithm to identify patients who are at high risk of having ILD based on RT planning computed tomography (CT) images. A quality improvement (QI) project was initiated to test feasibility and acceptability of the machine learning algorithm. If positive, the results of the machine learning algorithm were made available to ROs via structured electronic reporting. ROs were prompted to review the patient and consider expert radiologist consultation if thought appropriate. All electronic surveys and qualitative comments were summarized to describe clinical acceptability. Expert radiologist established gold standard ILD status of all patients on the study. A formal review of RO feedback was collected for all screen-positive, true-positive cases. RESULTS Two hundred forty cases were screened of which 45 were flagged as AI-ILD positive and the responsible RO notified. Of these 45 screen-positive cases, all continued on to RT except for 3 patients with tumor progression. From these 45, 24 surveys were completed, 21 had no prior suspicion of ILD. There were 7 true-positives, of which 1 had a survey response. Based on the survey responses, 88% of cases underwent review by the responsible RO. In 16 cases this automatic notification prompted case consultation with an expert radiologist. Expert review was performed from 10 minutes up to 53 hours after the email prompt to the radiologist, with median response time of 1.5 hours. In the 7 screen-positive, true-positive cases, only 2 were not previously known to the responsible RO. In the two cases where true-positive ILD status was previously unknown, one was a mild case of ILD and the other had previously received thoracic RT at this institution without ILD being identified, in both cases the ROs were grateful that this diagnosis was identified prior to treatment. RO confidence in the machine learning prediction was moderate due to the high proportion of false positives. CONCLUSION Based on available survey results, more than 75% of the screen-positive cases were reviewed by the responsible RO and two-thirds of these involved expert radiology input. RO feedback was generally positive and this tool was rated as a net benefit despite the high rate of false-positives and the need for clarification.
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Affiliation(s)
- N McNeil
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - H Bacon
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - S Kandel
- Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada
| | - T Patel
- Techna Institute, University Health Network, Toronto, ON, Canada
| | - M Welch
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - X Y Ye
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - C McIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Vector Institute for Artificial Intelligence, Toronto, ON, Canada
| | - A Bezjak
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - B H Lok
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S Raman
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - M E Giuliani
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J Cho
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A Sun
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - P E Lindsay Jr
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - G Liu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - T Tadic
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A J Hope
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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Bacon H, McNeil N, Patel T, Welch M, Ye XY, Bezjak A, Lok BH, Raman S, Giuliani M, Cho J, Sun A, Lindsay P, Liu G, Kandel S, McIntosh C, Tadic T, Hope A. Association of Artificial Intelligence-Screened Interstitial Lung Disease with Radiation Pneumonitis and Mortality in Locally Advanced Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e4-e5. [PMID: 37785334 DOI: 10.1016/j.ijrobp.2023.06.656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiation pneumonitis (RP) is a common and dose-limiting toxicity following radiotherapy for non-small cell lung cancer (NSCLC). Patients with interstitial lung disease (ILD) are believed to be at increased risk of developing complications including RP, ILD progression, or death. An automated method to identify patients prior to radiotherapy at high risk of developing toxicities or death may allow clinicians to mitigate risk through informed treatment planning and careful patient monitoring. MATERIALS/METHODS All locally advanced NSCLC patients treated with definitive radiation from 2006-2021 with a minimum 1 year of follow-up were assessed. RP and mortality data were prospectively collected and retrospectively reviewed. A convolutional neural network (CNN) was previously developed and validated to identify patients with radiographic ILD using planning computed tomography (CT) images, with an accuracy of 0.82. Planning CT scans for the retrospective cohort were used as input to the CNN, with artificial intelligence-screened ILD (AI-ILD) score as an output. AI-ILD scores above our established threshold were labeled as AI-ILD+. The association between AI-ILD score, AI-ILD+/-, mean lung dose (MLD), and the primary outcome of grade ≥2 (G2+) RP or mortality, as well as the secondary outcomes of G2+ RP and mortality were assessed using Wilcoxon rank sum test, univariate and multivariable logistic regression, and Kaplan-Meier survival analysis. RESULTS Of 799 patients reviewed, 745 eligible patients were included in the analysis; grade 0-5 RP was reported in 51.3%, 27.1%, 16.9%, 4.0%, 0.1%, and 0.5% of patients respectively. Overall, 22.9% of patients were AI-ILD+, and therefore at high risk (>20% chance) of having true ILD. On UVA, AI-ILD score, AI-ILD+ and MLD were significantly associated with the primary outcome of G2+ RP or mortality, as well as the secondary outcome of mortality. However, only MLD was significantly associated with the secondary outcome of G2+ RP. On MVA, both AI-ILD+ (OR 1.42, 95% CI 1.02-1.97, p = 0.04) and MLD (OR 1.13, 95% 1.05-1.21, p = 0.008) were significantly associated with G2+ RP or mortality. On Kaplan-Meier analysis, the median toxicity-free survival (TFS) time for AI-ILD+ and AI-ILD- patients were 1.7 and 3.4 years respectively, with a 2-year TFS of 48.3% vs. 59.3% (log-rank test: p = 0.02). There was no significant difference in rates of G2+ RP. CONCLUSION The AI-ILD algorithm can detect high risk patients with significantly decreased TFS following definitive treatment for NSCLC. AI-ILD classification was not associated with a significant difference in rates of RP when accounting for MLD. Future work will focus on improving the classification algorithm, expert radiologist validation of this dataset, and exploring reasons for the mortality difference in AI-ILD+ patients.
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Affiliation(s)
- H Bacon
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - N McNeil
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - T Patel
- Techna Institute, University Health Network, Toronto, ON, Canada
| | - M Welch
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - X Y Ye
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - A Bezjak
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - B H Lok
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S Raman
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - M Giuliani
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J Cho
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A Sun
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - P Lindsay
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - G Liu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S Kandel
- Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada
| | - C McIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Vector Institute for Artificial Intelligence, Toronto, ON, Canada
| | - T Tadic
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A Hope
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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7
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Knüppel F, Sun A, Wurm FH, Hussong J, Torner B. Effect of Particle Migration on the Stress Field in Microfluidic Flows of Blood Analog Fluids at High Reynolds Numbers. Micromachines (Basel) 2023; 14:1494. [PMID: 37630030 PMCID: PMC10456677 DOI: 10.3390/mi14081494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 07/19/2023] [Accepted: 07/21/2023] [Indexed: 08/27/2023]
Abstract
In the present paper, we investigate how the reductions in shear stresses and pressure losses in microfluidic gaps are directly linked to the local characteristics of cell-free layers (CFLs) at channel Reynolds numbers relevant to ventricular assist device (VAD) applications. For this, detailed studies of local particle distributions of a particulate blood analog fluid are combined with wall shear stress and pressure loss measurements in two complementary set-ups with identical flow geometry, bulk Reynolds numbers and particle Reynolds numbers. For all investigated particle volume fractions of up to 5%, reductions in the stress and pressure loss were measured in comparison to a flow of an equivalent homogeneous fluid (without particles). We could explain this due to the formation of a CFL ranging from 10 to 20 μm. Variations in the channel Reynolds number between Re = 50 and 150 did not lead to measurable changes in CFL heights or stress reductions for all investigated particle volume fractions. These measurements were used to describe the complete chain of how CFL formation leads to a stress reduction, which reduces the apparent viscosity of the suspension and results in the Fåhræus-Lindqvist effect. This chain of causes was investigated for the first time for flows with high Reynolds numbers (Re∼100), representing a flow regime which can be found in the narrow gaps of a VAD.
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Affiliation(s)
- Finn Knüppel
- Institute of Turbomachinery, Faculty for Mechanical Engineering and Ship Design, University of Rostock, 18055 Rostock, Germany; (F.K.); (F.-H.W.)
| | - Ang Sun
- Institute for Fluid Mechanics and Aerodynamics, Technical University of Darmstadt, 64287 Darmstadt, Germany; (A.S.); (J.H.)
| | - Frank-Hendrik Wurm
- Institute of Turbomachinery, Faculty for Mechanical Engineering and Ship Design, University of Rostock, 18055 Rostock, Germany; (F.K.); (F.-H.W.)
| | - Jeanette Hussong
- Institute for Fluid Mechanics and Aerodynamics, Technical University of Darmstadt, 64287 Darmstadt, Germany; (A.S.); (J.H.)
| | - Benjamin Torner
- Institute of Turbomachinery, Faculty for Mechanical Engineering and Ship Design, University of Rostock, 18055 Rostock, Germany; (F.K.); (F.-H.W.)
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8
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Sun A, Wang J, Zhang J. Identifying autism spectrum disorder using edge-centric functional connectivity. Cereb Cortex 2023:7091612. [PMID: 36977635 DOI: 10.1093/cercor/bhad103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/25/2023] [Accepted: 02/26/2023] [Indexed: 03/30/2023] Open
Abstract
Brain network analysis is an effective method to seek abnormalities in functional interactions for brain disorders such as autism spectrum disorder (ASD). Traditional studies of brain networks focus on the node-centric functional connectivity (nFC), ignoring interactions of edges to miss much information that facilitates diagnostic decisions. In this study, we present a protocol based on an edge-centric functional connectivity (eFC) approach, which significantly improves classification performance by utilizing the co-fluctuations information between the edges of brain regions compared with nFC to build the classification mode for ASD using the multi-site dataset Autism Brain Imaging Data Exchange I (ABIDE I). Our model results show that even using the traditional machine-learning classifier support vector machine (SVM) on the challenging ABIDE I dataset, relatively high performance is achieved: 96.41% of accuracy, 98.30% of sensitivity, and 94.25% of specificity. These promising results suggest that the eFC can be used to build a reliable machine-learning framework to diagnose mental disorders such as ASD and promote identifications of stable and effective biomarkers. This study provides an essential complementary perspective for understanding the neural mechanisms of ASD and may facilitate future investigations on early diagnosis of neuropsychiatric disorders.
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Affiliation(s)
- Ang Sun
- College of Electrical Engineering, Sichuan University, No. 24 South Section One of Yihuan Road, Wuhou district, Chengdu 610065, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
- Yunnan Key Laboratory of Primate Biomedical Research, Kunming 650500, Yunnan, China
| | - Junran Zhang
- College of Electrical Engineering, Sichuan University, No. 24 South Section One of Yihuan Road, Wuhou district, Chengdu 610065, China
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Sun A, Chen N, He L, Zhang J. [Research on migraine time-series features classification based on small-sample functional magnetic resonance imaging data]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 2023; 40:110-117. [PMID: 36854555 DOI: 10.7507/1001-5515.202206060] [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] [Subscribe] [Scholar Register] [Indexed: 03/02/2023]
Abstract
The extraction of neuroimaging features of migraine patients and the design of identification models are of great significance for the auxiliary diagnosis of related diseases. Compared with the commonly used image features, this study directly uses time-series signals to characterize the functional state of the brain in migraine patients and healthy controls, which can effectively utilize the temporal information and reduce the computational effort of classification model training. Firstly, Group Independent Component Analysis and Dictionary Learning were used to segment different brain areas for small-sample groups and then the regional average time-series signals were extracted. Next, the extracted time series were divided equally into multiple subseries to expand the model input sample. Finally, the time series were modeled using a bi-directional long-short term memory network to learn the pre-and-post temporal information within each time series to characterize the periodic brain state changes to improve the diagnostic accuracy of migraine. The results showed that the classification accuracy of migraine patients and healthy controls was 96.94%, the area under the curve was 0.98, and the computation time was relatively shorter. The experiments indicate that the method in this paper has strong applicability, and the combination of time-series feature extraction and bi-directional long-short term memory network model can be better used for the classification and diagnosis of migraine. This work provides a new idea for the lightweight diagnostic model based on small-sample neuroimaging data, and contributes to the exploration of the neural discrimination mechanism of related diseases.
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Affiliation(s)
- Ang Sun
- College of Electrical Engineering, Sichuan University, Chengdu 610065, P. R. China
| | - Ning Chen
- Department of Neurology, West China Hospital of Sichuan University, Chengdu 610041, P. R. China
| | - Li He
- Department of Neurology, West China Hospital of Sichuan University, Chengdu 610041, P. R. China
| | - Junran Zhang
- College of Electrical Engineering, Sichuan University, Chengdu 610065, P. R. China
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Zhu X, Li S, Sun A, Pan Y, Liu W, Wu Y, Zhang G, Shi Y. A mid-infrared focusing grating coupler with a single circular arc element based on germanium on silicon. Beilstein J Nanotechnol 2023; 14:478-484. [PMID: 37091286 PMCID: PMC10113522 DOI: 10.3762/bjnano.14.38] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/17/2023] [Indexed: 05/03/2023]
Abstract
A mid-infrared (MIR) focusing grating coupler (FGC) with a single circular arc element (CAE) in the front of the gratings based on a germanium-on-silicon (Ge-on-Si) platform is designed and demonstrated. It can be used equivalently to a traditional FGC with all-focusing gratings. By optimizing the structural parameters of the CAE, the combination of a tapered linear grating and the CAE can improve the coupling efficiency to 8.61%, which is twice as large as that of the traditional MIR grating couplers. To the best of our knowledge, it is the highest coupling efficiency in a full-etch grating coupler based on Ge-on-Si. Moreover, the proposed grating coupler can be used for refractive index (RI) sensing, and the maximum sensitivity is 980.7 nm/RIU when the RI changes from 1 to 1.04. By comparing with traditional grating couplers requiring secondary etching, the proposed full-etch grating coupler structure can reduce the complexity of fabrication and can provide a prospective platform for MIR photonic integration and photonic biosensor detection.
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Affiliation(s)
- Xiaojun Zhu
- School of Information Science and Technology, Nantong University, Nantong 226019, China
| | - Shuai Li
- School of Information Science and Technology, Nantong University, Nantong 226019, China
| | - Ang Sun
- School of Information Science and Technology, Nantong University, Nantong 226019, China
| | - Yongquan Pan
- School of Information Science and Technology, Nantong University, Nantong 226019, China
| | - Wen Liu
- School of Information Science and Technology, Nantong University, Nantong 226019, China
| | - Yue Wu
- School of Information Science and Technology, Nantong University, Nantong 226019, China
| | - Guoan Zhang
- School of Information Science and Technology, Nantong University, Nantong 226019, China
| | - Yuechun Shi
- Yongjiang Laboratory, Ningbo 315202, China and Nanjing University, Key Lab Intelligent Opt Sensing & Manipulat, Minist Educ, Nanjing University, Nanjing 210093, China
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Wang W, Chen C, Liu D, Wang M, Han Q, Zhang X, Feng X, Sun A, Mao P, Xiong Q, Zhang C. Health risk assessment of PM 2.5 heavy metals in county units of northern China based on Monte Carlo simulation and APCS-MLR. Sci Total Environ 2022; 843:156777. [PMID: 35724780 DOI: 10.1016/j.scitotenv.2022.156777] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [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: 04/04/2022] [Revised: 05/26/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
The key areas of China's urbanization process have gradually shifted from urban areas to county-level units. Correspondingly, air pollution in county towns may be heavier than in urban areas, which has led to a lack of understanding of the pollution situation in such areas. In view of this, 236 PM2.5 filter samples were collected in Pingyao, north of the Fen-Wei Plain, one of the most polluted areas in China. Monte Carlo simulation was used to solve the serious uncertainties of traditional HRA, and the coupling technology of absolute principal component score-multiple linear regression (APCS-MLR) and health risk assessment (HRA) is used to quantitatively analyze the health risks of pollution sources. The results showed that PM2.5 concentration was highest in autumn, 3.73 times the 24 h guideline recommended by the World Health Organization (WHO). Children were more susceptible to heavy metals in the county-level unit, with high hazard quotient (HQ) values of Pb being the dominant factor leading to an increased non-carcinogenic risk. A significant carcinogenic risk was observed for all groups in autumn in Pingyao, with exposure to Ni in the outdoor environment being the main cause. Vehicle emissions and coal combustion were identified as two major sources of health threats. In short, China's county-level population, about one-tenth of the world's population, faces far more health risks than expected.
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Affiliation(s)
- Wenju Wang
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo 454003, China
| | - Chun Chen
- Henan Key Laboratory for Environmental Monitoring Technology, Zhengzhou 450004, China
| | - Dan Liu
- Henan Key Laboratory for Environmental Monitoring Technology, Zhengzhou 450004, China
| | - Mingshi Wang
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo 454003, China.
| | - Qiao Han
- Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xuechun Zhang
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo 454003, China
| | - Xixi Feng
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo 454003, China
| | - Ang Sun
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo 454003, China
| | - Pan Mao
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo 454003, China
| | - Qinqing Xiong
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo 454003, China
| | - Chunhui Zhang
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo 454003, China
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Gao MD, Li YF, Li YL, Sun A, Tian S, Zhang CH, Geng YP, Li LX. [Characteristics of Phytoplankton Community Structure and Their Relationships with Environmental Factors in Autumn in Qinhe River Basin of Jincheng Region]. Huan Jing Ke Xue 2022; 43:4576-4586. [PMID: 36096598 DOI: 10.13227/j.hjkx.202111307] [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: 06/15/2023]
Abstract
In October-November 2020, the phytoplankton and the aquatic environment from 62 sites in the mainstream of the Qinhe River and the largest tributary of the Qinhe River (Danhe River) in the Jincheng region were investigated to clarify the spatial pattern of phytoplankton communities and their driving factors. A total of 7 phyla and 47 species of phytoplankton were identified in the Qinhe River basin and were composed of Cryptophyta, Chlorophyta, Pyrrophyta, Chrysophyta, Bacillariophyta, Cyanophyta, and Crytophyta. Six dominant species in the Qinhe River included:Chlorella vulgaris, Cryptomonas erosa, Chroomonas acuta, Cyclotella stelligera, Chlorococcum, and Euglena viridis. Six dominant species in the Danhe River included:C. erosa, Frustulia vulgaris, E. viridis, C. vulgaris, Trachelomonas oblonga Lemm, and C. stelligera. The Shannon-Wiener diversity index (H') varied from 0.35 to 3.15, with a mean value 1.40. The Pielou evenness index (J) varied from 0.24 to 1.00, with a mean value of 0.68. H' values in the Qinhe River were higher than those in the Danhe River. J values were relatively low in the middle reaches of the Qinhe River and middle-low reaches of the Danhe River. The results in the Qinhe River through a canonical correspondence analysis (CCA) showed that the percent of forest land at a 300 m buffer was the driving factor of Chlorococcum in Chlorophyta, and nitrate, total phosphorus, and the percent of forest land at the 300 m buffer were the driving factors of E. viridis. Cyclotella stelligera was mainly influenced by the percent of urban land and water temperature, whereas C. vulgaris, C. erosa, and C. acuta were mainly influenced by the percent of farmland and residential land at the 300 m buffer. The results in the Danhe River via CCA showed that C. erosa and C. stelligera were mainly influenced by pH and sulfate, E. viridis was mainly influenced by the percent of urban land and grass land, T. oblonga Lemm was mainly influenced by chloride and the percent of forest land, F. vulgaris was mainly influenced by water temperature and the percent of farmland, and C. vulgaris was mainly influenced by ammonia and the percent of farmland.
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Affiliation(s)
- Meng-Die Gao
- School of Resources and Environment, Henan University of Technology, Jiaozuo 454000, China
| | - Yan-Fen Li
- School of Chemical and Environmental Engineering, Jiaozuo University, Jiaozuo 454000, China
| | - Yan-Li Li
- School of Resources and Environment, Henan University of Technology, Jiaozuo 454000, China
| | - Ang Sun
- School of Resources and Environment, Henan University of Technology, Jiaozuo 454000, China
| | - Shuang Tian
- Liaoning Key Laboratory of Aquatic Biology, School of Fisheries and Life, Dalian Ocean University, Dalian 116023, China
| | - Chun-Hui Zhang
- School of Resources and Environment, Henan University of Technology, Jiaozuo 454000, China
| | - Ya-Ping Geng
- School of Resources and Environment, Henan University of Technology, Jiaozuo 454000, China
| | - Lin-Xia Li
- School of Resources and Environment, Henan University of Technology, Jiaozuo 454000, China
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13
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Bui V, Hsu L, Sun A, Tran L, Shanbhag S, Chang L, Zhou W, Mehta N, Chen M. 401 Deepheartct: A Fully Automatic Hybrid Structure Segmentation Framework Based On Atlas, Reverse Ranking, And Convolutional Neural Network For Computed Tomography Angiography. J Cardiovasc Comput Tomogr 2022. [DOI: 10.1016/j.jcct.2022.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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14
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Georges F, Rashad MNH, Stefanko A, Dlamini M, Karki B, Ali SF, Lin PJ, Ko HS, Israel N, Adikaram D, Ahmed Z, Albataineh H, Aljawrneh B, Allada K, Allison S, Alsalmi S, Androic D, Aniol K, Annand J, Atac H, Averett T, Ayerbe Gayoso C, Bai X, Bane J, Barcus S, Bartlett K, Bellini V, Beminiwattha R, Bericic J, Biswas D, Brash E, Bulumulla D, Campbell J, Camsonne A, Carmignotto M, Castellano J, Chen C, Chen JP, Chetry T, Christy ME, Cisbani E, Clary B, Cohen E, Compton N, Cornejo JC, Covrig Dusa S, Crowe B, Danagoulian S, Danley T, De Persio F, Deconinck W, Defurne M, Desnault C, Di D, Duer M, Duran B, Ent R, Fanelli C, Franklin G, Fuchey E, Gal C, Gaskell D, Gautam T, Glamazdin O, Gnanvo K, Gray VM, Gu C, Hague T, Hamad G, Hamilton D, Hamilton K, Hansen O, Hauenstein F, Henry W, Higinbotham DW, Holmstrom T, Horn T, Huang Y, Huber GM, Hyde CE, Ibrahim H, Jen CM, Jin K, Jones M, Kabir A, Keppel C, Khachatryan V, King PM, Li S, Li WB, Liu J, Liu H, Liyanage A, Magee J, Malace S, Mammei J, Markowitz P, McClellan E, Mazouz M, Meddi F, Meekins D, Mesik K, Michaels R, Mkrtchyan A, Montgomery R, Muñoz Camacho C, Myers LS, Nadel-Turonski P, Nazeer SJ, Nelyubin V, Nguyen D, Nuruzzaman N, Nycz M, Obretch OF, Ou L, Palatchi C, Pandey B, Park S, Park K, Peng C, Pomatsalyuk R, Pooser E, Puckett AJR, Punjabi V, Quinn B, Rahman S, Reimer PE, Roche J, Sapkota I, Sarty A, Sawatzky B, Saylor NH, Schmookler B, Shabestari MH, Shahinyan A, Sirca S, Smith GR, Sooriyaarachchilage S, Sparveris N, Spies R, Su T, Subedi A, Sulkosky V, Sun A, Thorne L, Tian Y, Ton N, Tortorici F, Trotta R, Urciuoli GM, Voutier E, Waidyawansa B, Wang Y, Wojtsekhowski B, Wood S, Yan X, Ye L, Ye Z, Yero C, Zhang J, Zhao Y, Zhu P. Deeply Virtual Compton Scattering Cross Section at High Bjorken x_{B}. Phys Rev Lett 2022; 128:252002. [PMID: 35802440 DOI: 10.1103/physrevlett.128.252002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 03/28/2022] [Accepted: 04/18/2022] [Indexed: 06/15/2023]
Abstract
We report high-precision measurements of the deeply virtual Compton scattering (DVCS) cross section at high values of the Bjorken variable x_{B}. DVCS is sensitive to the generalized parton distributions of the nucleon, which provide a three-dimensional description of its internal constituents. Using the exact analytic expression of the DVCS cross section for all possible polarization states of the initial and final electron and nucleon, and final state photon, we present the first experimental extraction of all four helicity-conserving Compton form factors (CFFs) of the nucleon as a function of x_{B}, while systematically including helicity flip amplitudes. In particular, the high accuracy of the present data demonstrates sensitivity to some very poorly known CFFs.
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Affiliation(s)
- F Georges
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Stefanko
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - M Dlamini
- Ohio University, Athens, Ohio 45701, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | - S F Ali
- Catholic University of America, Washington, DC 20064, USA
| | - P-J Lin
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - H-S Ko
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
- Seoul National University, 1 Gwanak-ro, Gwanak-gu, 08826 Seoul, Korea
| | - N Israel
- Ohio University, Athens, Ohio 45701, USA
| | - D Adikaram
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z Ahmed
- University of Regina, Regina, Saskatchewan, S4S 0A2 Canada
| | - H Albataineh
- Texas A&M University-Kingsville, Kingsville, Texas 78363, USA
| | - B Aljawrneh
- North Carolina Agricultural and Technical State University, Greensboro, North Carolina 27411, USA
| | - K Allada
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Allison
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
| | - D Androic
- University of Zagreb, Trg Republike Hrvatske 14, 10000 Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - J Annand
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Averett
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - C Ayerbe Gayoso
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - X Bai
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Bane
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Barcus
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - K Bartlett
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Dipartimento di Fisica delle Università degli di Catania, I-95123 Catania, Italy
| | | | - J Bericic
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - E Brash
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J Campbell
- Dalhousie University, Nova Scotia, NS B3H 4R2, Canada
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Carmignotto
- Catholic University of America, Washington, DC 20064, USA
| | - J Castellano
- Florida International University, Miami, Florida 33199, USA
| | - C Chen
- Hampton University, Hampton, Virginia 23669, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - M E Christy
- Hampton University, Hampton, Virginia 23669, USA
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, Piazzale Aldo Moro, 2-00185 Roma, Italy
| | - B Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - E Cohen
- Tel Aviv University, Tel Aviv-Yafo 6997801, Israel
| | - N Compton
- Ohio University, Athens, Ohio 45701, USA
| | - J C Cornejo
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - S Covrig Dusa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Crowe
- North Carolina Central University, Durham, North Carolina 27707, USA
| | - S Danagoulian
- North Carolina Agricultural and Technical State University, Greensboro, North Carolina 27411, USA
| | - T Danley
- Ohio University, Athens, Ohio 45701, USA
| | - F De Persio
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, Piazzale Aldo Moro, 2-00185 Roma, Italy
| | - W Deconinck
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - M Defurne
- CEA Saclay, 91191 Gif-sur-Yvette, France
| | - C Desnault
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D Di
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Duer
- Tel Aviv University, Tel Aviv-Yafo 6997801, Israel
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Fanelli
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Franklin
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - O Glamazdin
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - K Gnanvo
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - V M Gray
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - C Gu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T Hague
- Kent State University, Kent, Ohio 44240, USA
| | - G Hamad
- Ohio University, Athens, Ohio 45701, USA
| | - D Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - K Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Longwood University, Farmville, Virginia 23901, USA
| | - T Horn
- Catholic University of America, Washington, DC 20064, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Huang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan, S4S 0A2 Canada
| | - C E Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Ibrahim
- Cairo University, Cairo 121613, Egypt
| | - C-M Jen
- Virginia Polytechnic Institute & State University, Blacksburg, Virginia 234061, USA
| | - K Jin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Kabir
- Kent State University, Kent, Ohio 44240, USA
| | - C Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Khachatryan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Stony Brook, State University of New York, New York 11794, USA
- Cornell University, Ithaca, New York 14853, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - W B Li
- University of Regina, Regina, Saskatchewan, S4S 0A2 Canada
| | - J Liu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - A Liyanage
- Hampton University, Hampton, Virginia 23669, USA
| | - J Magee
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Mammei
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - E McClellan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Mazouz
- Faculté des Sciences de Monastir, Monastir 5019, Tunisia
| | - F Meddi
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, Piazzale Aldo Moro, 2-00185 Roma, Italy
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Mesik
- Rutgers University, New Brunswick, New Jersey 08854, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Mkrtchyan
- Catholic University of America, Washington, DC 20064, USA
| | - R Montgomery
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C Muñoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - L S Myers
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S J Nazeer
- Hampton University, Hampton, Virginia 23669, USA
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - N Nuruzzaman
- Hampton University, Hampton, Virginia 23669, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - O F Obretch
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - L Ou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | - K Park
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - C Peng
- Duke University, Durham, North Carolina 27708, USA
| | - R Pomatsalyuk
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - E Pooser
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - B Quinn
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Rahman
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Roche
- Ohio University, Athens, Ohio 45701, USA
| | - I Sapkota
- Catholic University of America, Washington, DC 20064, USA
| | - A Sarty
- Saint Mary's University, Halifax, Nova Scotia B3H 3C3, Canada
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N H Saylor
- Rensselaer Polytechnic Institute, Troy, New York 12180, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M H Shabestari
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - A Shahinyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - S Sirca
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Spies
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
| | - A Subedi
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - V Sulkosky
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Sun
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - L Thorne
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y Tian
- Shandong University, Jinan 250100, China
| | - N Ton
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - F Tortorici
- Istituto Nazionale di Fisica Nucleare, Dipartimento di Fisica delle Università degli di Catania, I-95123 Catania, Italy
| | - R Trotta
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - G M Urciuoli
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, Piazzale Aldo Moro, 2-00185 Roma, Italy
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - B Waidyawansa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Wang
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- Huangshan University, Tunxi, Daizhen Road 245041, China
| | - L Ye
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - Z Ye
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C Yero
- Florida International University, Miami, Florida 33199, USA
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Zhao
- Stony Brook, State University of New York, New York 11794, USA
| | - P Zhu
- University of Science and Technology of China, Hefei, Anhui 230026, China
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15
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Witlox W, Ramaekers B, Lacas B, Le Pechoux C, Sun A, Wang S, Hu C, Redman M, van der Noort V, Li N, Guckenberger M, van Tinteren H, Hendriks L, Groen H, Joore M, de Ruysscher D. PO-1053 cost-effectiveness of prophylactic cranial irradiation in stage III non-small cell lung cancer. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03017-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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16
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Wang Z, Yang F, Sun A, Song J, Shan S, Zhang Y, Wang S. Expressional and functional comparisons of five clustered odorant binding proteins in the brown marmorated stink bug Halyomorpha halys. Int J Biol Macromol 2022; 206:759-767. [DOI: 10.1016/j.ijbiomac.2022.03.084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/09/2022] [Accepted: 03/14/2022] [Indexed: 12/26/2022]
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17
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Das A, Sun A, Driscoll B, Vines D, Weiss J, Liu Z. PO-1263 Measurement of tumor hypoxia in patients with non-small cell lung cancer using PET with 18F-FAZA. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03227-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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18
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Deng Y, Wang W, Zheng Q, Feng Y, Zou Y, Dong H, Tan Z, Zeng X, Zhao Y, Peng D, Yang X, Sun A. Menopausal hormone therapy: what are the problems in the perception of Chinese physicians? Climacteric 2022; 25:413-420. [PMID: 35438051 DOI: 10.1080/13697137.2022.2058391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE This study aimed to investigate Chinese physicians' perception and attitudes toward menopausal hormone therapy (MHT). METHODS This nationwide online survey was conducted in China. Physicians registered in the WeChat groups of the Gynecological Endocrinology Committee of China's Maternal and Child Health Care Association received a message invitation to complete this anonymous online survey from April 2020 to July 2020. Physicians' knowledge of and attitudes toward MHT were surveyed. RESULTS In total, 4672 questionnaires were submitted; only completed questionnaires could be submitted. The message was sent to 6021 doctors, so the response rate was 77.6%. Overall, 77.9-92.9% of physicians knew the common indications and contraindications to MHT. Additionally, 90.6%, 85.4%, 80.7% and 37.5% of physicians thought that MHT would increase the risk of venous thrombosis, breast cancer, endometrial cancer and weight gain, respectively. In total, 58.1% of the physicians mistakenly believed that a sex hormone test was one of the necessary examinations to reassess MHT prescription during follow-up visits. We found that 68.5% of physicians would consider using MHT themselves or recommend MHT to their partners in the future, and 11.4% were currently using MHT. CONCLUSIONS Most Chinese physicians have basic knowledge of MHT. Their misunderstandings about MHT mainly centered on the risks of endometrial cancer, weight gain and the necessary examinations during follow-up visits. These misunderstandings need to be clarified in future professional training programs.
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Affiliation(s)
- Y Deng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
| | - W Wang
- Department of Reproductive Medicine, The Second Hospital of Hebei Medical University, Hebei, China
| | - Q Zheng
- Department of Obstetrics and Gynecology, The Affiliated Hospital of Qingdao University, Shandong, China
| | - Y Feng
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Nanchang University, JiangXi, China
| | - Y Zou
- Department of Obstetrics and Gynecology, Hunan Provincial Maternal and Child Health Care Hospital, Hunan, China
| | - H Dong
- Department of Obstetrics and Gynecology, Women and Children's Hospital of Jinzhou, Liaoning, China
| | - Z Tan
- Department of Obstetrics and Gynecology, Xinhui Maternity and Children's Hospital, Guangxi, China
| | - X Zeng
- Department of Gynecology, Guangzhou Women and Children's Medical Centre, Guangdong, China
| | - Y Zhao
- Department of Obstetrics and Gynecology, Xinhui Maternity and Children's Hospital, Guangxi, China
| | - D Peng
- Department of Obstetrics and Gynecology, Zhongda Hospital Southeast Univeisity, Jiangsu, China
| | - X Yang
- Department of Obstetrics and Gynecology, Liuzhou Maternity and Child Healthcare Hospital, GuangXi, China
| | - A Sun
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
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19
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Dai T, Jiang S, Liu X, Sun A. The effects of a hypertension diagnosis on health behaviors: A two-dimensional regression discontinuity analysis. Health Econ 2022; 31:574-596. [PMID: 34981591 DOI: 10.1002/hec.4466] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 08/02/2021] [Accepted: 11/24/2021] [Indexed: 06/14/2023]
Abstract
This paper explores how a diagnosis of hypertension might affect a person's health-related behaviors. The analysis uses a two-dimensional regression discontinuity design because hypertension is diagnosed when a person's systolic or diastolic blood pressure (SBP or DBP) surpasses a pre-established threshold. We find that those closely above the SBP threshold significantly adjusted their lifestyle, such as reducing daily fat intake and quitting smoking, while those just surpassing the DBP cutoff did not. Further mechanism analysis suggests that the possibility of constraints, rather than education and income gradients, does more to explain the disparate behaviors of subjects near the SBP and DBP thresholds. Those around the DBP threshold generally have tighter work schedules and undertake more competitive jobs, which hinder them from improving their lifestyle. Overall, our findings complement the existing literature by posing a new perspective for understanding people's potential reluctance to adjust their behavior.
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Affiliation(s)
- Tiantian Dai
- China Economics and Management Academy, Central University of Finance and Economics, Beijing, China
| | - Shenyi Jiang
- China Economics and Management Academy, Central University of Finance and Economics, Beijing, China
| | | | - Ang Sun
- School of Finance and China Financial Policy Research Center, Renmin University of China, Beijing, China
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20
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Christy ME, Gautam T, Ou L, Schmookler B, Wang Y, Adikaram D, Ahmed Z, Albataineh H, Ali SF, Aljawrneh B, Allada K, Allison SL, Alsalmi S, Androic D, Aniol K, Annand J, Arrington J, Atac H, Averett T, Ayerbe Gayoso C, Bai X, Bane J, Barcus S, Bartlett K, Bellini V, Beminiwattha R, Bericic J, Bhatt H, Bhetuwal D, Biswas D, Brash E, Bulumulla D, Camacho CM, Campbell J, Camsonne A, Carmignotto M, Castellanos J, Chen C, Chen JP, Chetry T, Cisbani E, Clary B, Cohen E, Compton N, Cornejo JC, Covrig Dusa S, Crowe B, Danagoulian S, Danley T, Deconinck W, Defurne M, Desnault C, Di D, Dlamini M, Duer M, Duran B, Ent R, Fanelli C, Fuchey E, Gal C, Gaskell D, Georges F, Gilad S, Glamazdin O, Gnanvo K, Gramolin AV, Gray VM, Gu C, Habarakada A, Hague T, Hamad G, Hamilton D, Hamilton K, Hansen O, Hauenstein F, Hernandez AV, Henry W, Higinbotham DW, Holmstrom T, Horn T, Huang Y, Huber GM, Hyde C, Ibrahim H, Israel N, Jen CM, Jin K, Jones M, Kabir A, Karki B, Keppel C, Khachatryan V, King PM, Li S, Li W, Liu H, Liu J, Liyanage AH, Mack D, Magee J, Malace S, Mammei J, Markowitz P, Mayilyan S, McClellan E, Meddi F, Meekins D, Mesick K, Michaels R, Mkrtchyan A, Moffit B, Montgomery R, Myers LS, Nadel-Turonski P, Nazeer SJ, Nelyubin V, Nguyen D, Nuruzzaman N, Nycz M, Obrecht RF, Ohanyan K, Palatchi C, Pandey B, Park K, Park S, Peng C, Persio FD, Pomatsalyuk R, Pooser E, Puckett AJR, Punjabi V, Quinn B, Rahman S, Rashad MNH, Reimer PE, Riordan S, Roche J, Sapkota I, Sarty A, Sawatzky B, Saylor NH, Shabestari MH, Shahinyan A, Širca S, Smith GR, Sooriyaarachchilage S, Sparveris N, Spies R, Stefanko A, Su T, Subedi A, Sulkosky V, Sun A, Tan Y, Thorne L, Ton N, Tortorici F, Trotta R, Uniyal R, Urciuoli GM, Voutier E, Waidyawansa B, Wojtsekhowski B, Wood S, Yan X, Ye L, Ye ZH, Yero C, Zhang J, Zhao YX, Zhu P. Form Factors and Two-Photon Exchange in High-Energy Elastic Electron-Proton Scattering. Phys Rev Lett 2022; 128:102002. [PMID: 35333083 DOI: 10.1103/physrevlett.128.102002] [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: 03/22/2021] [Revised: 11/06/2021] [Accepted: 01/31/2022] [Indexed: 06/14/2023]
Abstract
We present new precision measurements of the elastic electron-proton scattering cross section for momentum transfer (Q^{2}) up to 15.75 (GeV/c)^{2}. Combined with existing data, these provide an improved extraction of the proton magnetic form factor at high Q^{2} and double the range over which a longitudinal or transverse separation of the cross section can be performed. The difference between our results and polarization data agrees with that observed at lower Q^{2} and attributed to hard two-photon exchange (TPE) effects, extending to 8 (GeV/c)^{2} the range of Q^{2} for which a discrepancy is established at >95% confidence. We use the discrepancy to quantify the size of TPE contributions needed to explain the cross section at high Q^{2}.
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Affiliation(s)
- M E Christy
- Hampton University, Hampton, Virginia 23669, USA
| | - T Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - L Ou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Wang
- William and Mary, Williamsburg, Virginia 23185, USA
| | - D Adikaram
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z Ahmed
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - H Albataineh
- Texas A & M University, Kingsville, Texas 77843, USA
| | - S F Ali
- Catholic University of America, Washington, District of Columbia 20064, USA
| | - B Aljawrneh
- North Carolina A&T State University, Greensboro, North Carolina 27411, USA
- Al Zaytoonah University of Jordan, Amman 11733, Jordan
| | - K Allada
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S L Allison
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
| | - D Androic
- University of Zagreb, Trg Republike Hrvatske 14, 10000, Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - J Annand
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - J Arrington
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Averett
- William and Mary, Williamsburg, Virginia 23185, USA
| | | | - X Bai
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - J Bane
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Barcus
- William and Mary, Williamsburg, Virginia 23185, USA
| | - K Bartlett
- William and Mary, Williamsburg, Virginia 23185, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Department of Physics and Astronomy, I-95123 Catania, Italy
| | | | - J Bericic
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Bhatt
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Bhetuwal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - E Brash
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - C M Camacho
- Institut de Physique Nucleaire, 15 Rue Georges Clemenceau, 91400 Orsay, France
| | - J Campbell
- Dalhousie University, Nova Scotia NS B3H 4R2, Canada
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Carmignotto
- Catholic University of America, Washington, DC 20064, USA
| | - J Castellanos
- Florida International University, Miami, Florida 33199, USA
| | - C Chen
- Hampton University, Hampton, Virginia 23669, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare - Sezione di Roma, P.le Aldo Moro, 2 - 00185 Roma, Italy
| | - B Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - E Cohen
- Tel Aviv University, Tel Aviv-Yafo 69978, Israel
| | - N Compton
- Ohio University, Athens, Ohio 45701, USA
| | - J C Cornejo
- William and Mary, Williamsburg, Virginia 23185, USA
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Covrig Dusa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Crowe
- North Carolina Central University, Durham, North Carolina 27707, USA
| | - S Danagoulian
- North Carolina A&T State University, Greensboro, North Carolina 27411, USA
| | - T Danley
- Ohio University, Athens, Ohio 45701, USA
| | - W Deconinck
- William and Mary, Williamsburg, Virginia 23185, USA
| | - M Defurne
- CEA Saclay, 91191 Gif-sur-Yvette, France
| | - C Desnault
- Institut de Physique Nucleaire, 15 Rue Georges Clemenceau, 91400 Orsay, France
| | - D Di
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - M Dlamini
- Ohio University, Athens, Ohio 45701, USA
| | - M Duer
- Tel Aviv University, Tel Aviv-Yafo 69978, Israel
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Fanelli
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Georges
- Ecole Centrale Paris, 3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France
| | - S Gilad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - O Glamazdin
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - K Gnanvo
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - A V Gramolin
- Boston University, Boston, Massachusetts 02215, USA
| | - V M Gray
- William and Mary, Williamsburg, Virginia 23185, USA
| | - C Gu
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - A Habarakada
- Hampton University, Hampton, Virginia 23669, USA
| | - T Hague
- Kent State University, Kent, Ohio 44240, USA
| | - G Hamad
- Ohio University, Athens, Ohio 45701, USA
| | - D Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - K Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A V Hernandez
- Catholic University of America, Washington, DC 20064, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Randolph Macon College, Ashland, Virginia 23005, USA
| | - T Horn
- Catholic University of America, Washington, DC 20064, USA
| | - Y Huang
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - C Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Ibrahim
- Cairo University, Cairo, 12613, Egypt
| | - N Israel
- Ohio University, Athens, Ohio 45701, USA
| | - C-M Jen
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 234061, USA
| | - K Jin
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - M Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Kabir
- Kent State University, Kent, Ohio 44240, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | - C Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Khachatryan
- Stony Brook, State University of New York, New York 11794, USA
- Cornell University, Ithaca, New York 14853, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - W Li
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - J Liu
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - A H Liyanage
- Hampton University, Hampton, Virginia 23669, USA
| | - D Mack
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Magee
- William and Mary, Williamsburg, Virginia 23185, USA
| | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Mammei
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - S Mayilyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - E McClellan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Meddi
- Istituto Nazionale di Fisica Nucleare - Sezione di Roma, P.le Aldo Moro, 2 - 00185 Roma, Italy
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Mesick
- Rutgers University, New Brunswick, New Jersey 08854, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Mkrtchyan
- Catholic University of America, Washington, DC 20064, USA
| | - B Moffit
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Montgomery
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - L S Myers
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S J Nazeer
- Hampton University, Hampton, Virginia 23669, USA
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - N Nuruzzaman
- Hampton University, Hampton, Virginia 23669, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - R F Obrecht
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - K Ohanyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - K Park
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | - C Peng
- Duke University, Durham, North Carolina 27708, USA
| | - F D Persio
- Istituto Nazionale di Fisica Nucleare - Sezione di Roma, P.le Aldo Moro, 2 - 00185 Roma, Italy
| | - R Pomatsalyuk
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - E Pooser
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - B Quinn
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Rahman
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - P E Reimer
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - S Riordan
- Stony Brook, State University of New York, New York 11794, USA
| | - J Roche
- Ohio University, Athens, Ohio 45701, USA
| | - I Sapkota
- Catholic University of America, Washington, DC 20064, USA
| | - A Sarty
- Saint Mary's University, Halifax, Nova Scotia B3H 3C3, Canada
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N H Saylor
- Rensselaer Polytechnic Institute, Troy, New York 12180, USA
| | - M H Shabestari
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - A Shahinyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - S Širca
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Spies
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - A Stefanko
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
| | - A Subedi
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - V Sulkosky
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Sun
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y Tan
- Shandong University, Shandong, Jinan 250100, China
| | - L Thorne
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - N Ton
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - F Tortorici
- Istituto Nazionale di Fisica Nucleare, Department of Physics and Astronomy, I-95123 Catania, Italy
| | - R Trotta
- Duquesne University, Pittsburgh, Pennsylvania 15282, USA
| | - R Uniyal
- Catholic University of America, Washington, DC 20064, USA
| | - G M Urciuoli
- Istituto Nazionale di Fisica Nucleare - Sezione di Roma, P.le Aldo Moro, 2 - 00185 Roma, Italy
| | - E Voutier
- Institut de Physique Nucleaire, 15 Rue Georges Clemenceau, 91400 Orsay, France
| | - B Waidyawansa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- Huangshan University, 44 Daizhen Road, Tunxi District, Huangshan, Anhui Province, China
| | - L Ye
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - Z H Ye
- University of Virginia, Charlottesville, Virginia 232904, USA
- Tsinghua University, 30 Shuangqing Rd, Haidian District, Beijing 100190, China
| | - C Yero
- Florida International University, Miami, Florida 33199, USA
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - Y X Zhao
- Stony Brook, State University of New York, New York 11794, USA
| | - P Zhu
- University of Science and Technology of China, Hefei, Anhui 230026, China
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Lewis S, Hope A, Chan M, Weiss J, Raziee H, Bezjak A, Cho J, Sun A, Lok B, Raman S, Bissonnette J, Vines D, Giuliani M. FLT-PET/CT in Non-Small Cell Lung Cancer Treated With SBRT- A Pilot Study. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2021.10.170] [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: 11/25/2022]
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22
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Chau O, Islam A, Yu E, Qu M, Butler J, Biernaski H, Sun A, Bissonnette JP, MacDonald A, Graf C, So A, Wisenberg G, Lee T, Prato FS, Gaede S. Multi-Modality Imaging Assessment of the Heart Before and After Stage III Non-Small Cell Lung Cancer Radiotherapy. Adv Radiat Oncol 2022; 7:100927. [PMID: 35434423 PMCID: PMC9006649 DOI: 10.1016/j.adro.2022.100927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 02/07/2022] [Indexed: 11/26/2022] Open
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Feng X, Han Q, Wang M, Mao P, Sun A, Zhang C, Chen C, Wang M. 222Rn radioactivity in urban waters of fault zone in China: dose rate and risk assessment. J Radioanal Nucl Chem 2021. [DOI: 10.1007/s10967-021-08025-y] [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: 10/20/2022]
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24
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Yan M, Sigurdson S, Greifer N, Kennedy T, Toh T, Jr PL, Weiss J, Hueniken K, Yeung C, Sugumar V, Sun A, Bezjak A, Cho J, Raman S, Hope A, Giuliani M, Stuart E, Owen T, Ashworth A, Robinson A, Liu G, Moraes F, Lok B. A Comparison of Hypofractionated and Twice Daily Thoracic Irradiation in Limited-Stage Small Cell Lung Cancer: An Overlap Weighted Analysis. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Abstract
Abstract
Background
Vulnerable plaques are characterized by infiltration of inflammatory cells, playing a key role in the progression of acute coronary events. It's important to clarify the inflammatory mechanism of unstable plaque formation. Several clinical trials have demonstrated that dapagliflozin could reduce major adverse cardiac events in whether diabetic or non-diabetic patients. However, the underlying cardioprotective mechanism of dapagliflozin remains unclear. This study was aimed to investigate the role of dapagliflozin in regulating macrophage pyroptosis and vulnerable plaque formation.
Methods
20 ApoE−/− mice (control) were fed with high fat diet while another 20 ApoE−/− mice were challenged with high fat diet plus dapagliflozin for 12 weeks. The extent and instability of atherosclerotic plaque was determined by oil-red staining, HE staining, immunofluorescence staining and electron microscopy. Changes in subsets of immune cells were evaluated by flow cytometry. Plasma cytokines were assessed by ELISA. Microarray analysis was applied to detect gene expressions while Western blot and real-time PCR was used to assess gene expression levels.
Results
Morphology studies revealed that dapagliflozin could inhibit plaque formation and reduce instability in ApoE−/− mice. FACS data showed that dapagliflozin could decrease CD11b+Ly6Chigh M1 macrophages differentiation and inhibit foam cells formation in ApoE−/− mice. Microarray analysis and in vitro studies exhibited that dapagliflozin could induce the down regulation of NLRP3, caspase-1, IL-1β, IL-18 and MMP-7/10/12/14 to retard macrophage pyroptosis and foam cell formation.
Conclusions
We have characterized a novel role for dapagliflozin in modulating atherosclerotic lesion development and progression. We envision that this study may provide several potential therapeutic targets for treatment of acute coronary syndromes.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): Shanghai Sailing Program
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Affiliation(s)
- L Xu
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - Y Dai
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - K Yao
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - H Yang
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - A Sun
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - J Qian
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
| | - J Ge
- Zhongshan Hospital, Fudan University, Cardiology Department, Shanghai, China
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26
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Dlamini M, Karki B, Ali SF, Lin PJ, Georges F, Ko HS, Israel N, Rashad MNH, Stefanko A, Adikaram D, Ahmed Z, Albataineh H, Aljawrneh B, Allada K, Allison S, Alsalmi S, Androic D, Aniol K, Annand J, Atac H, Averett T, Ayerbe Gayoso C, Bai X, Bane J, Barcus S, Bartlett K, Bellini V, Beminiwattha R, Bericic J, Biswas D, Brash E, Bulumulla D, Campbell J, Camsonne A, Carmignotto M, Castellano J, Chen C, Chen JP, Chetry T, Christy ME, Cisbani E, Clary B, Cohen E, Compton N, Cornejo JC, Covrig Dusa S, Crowe B, Danagoulian S, Danley T, De Persio F, Deconinck W, Defurne M, Desnault C, Di D, Duer M, Duran B, Ent R, Fanelli C, Franklin G, Fuchey E, Gal C, Gaskell D, Gautam T, Glamazdin O, Gnanvo K, Gray VM, Gu C, Hague T, Hamad G, Hamilton D, Hamilton K, Hansen O, Hauenstein F, Henry W, Higinbotham DW, Holmstrom T, Horn T, Huang Y, Huber GM, Hyde C, Ibrahim H, Jen CM, Jin K, Jones M, Kabir A, Keppel C, Khachatryan V, King PM, Li S, Li W, Liu J, Liu H, Liyanage A, Magee J, Malace S, Mammei J, Markowitz P, McClellan E, Meddi F, Meekins D, Mesik K, Michaels R, Mkrtchyan A, Montgomery R, Muñoz Camacho C, Myers LS, Nadel-Turonski P, Nazeer SJ, Nelyubin V, Nguyen D, Nuruzzaman N, Nycz M, Obretch OF, Ou L, Palatchi C, Pandey B, Park S, Park K, Peng C, Pomatsalyuk R, Pooser E, Puckett AJR, Punjabi V, Quinn B, Rahman S, Reimer PE, Roche J, Sapkota I, Sarty A, Sawatzky B, Saylor NH, Schmookler B, Shabestari MH, Shahinyan A, Sirca S, Smith GR, Sooriyaarachchilage S, Sparveris N, Spies R, Su T, Subedi A, Sulkosky V, Sun A, Thorne L, Tian Y, Ton N, Tortorici F, Trotta R, Urciuoli GM, Voutier E, Waidyawansa B, Wang Y, Wojtsekhowski B, Wood S, Yan X, Ye L, Ye Z, Yero C, Zhang J, Zhao Y, Zhu P. Deep Exclusive Electroproduction of π^{0} at High Q^{2} in the Quark Valence Regime. Phys Rev Lett 2021; 127:152301. [PMID: 34678020 DOI: 10.1103/physrevlett.127.152301] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 06/07/2021] [Accepted: 08/17/2021] [Indexed: 06/13/2023]
Abstract
We report measurements of the exclusive neutral pion electroproduction cross section off protons at large values of x_{B} (0.36, 0.48, and 0.60) and Q^{2} (3.1 to 8.4 GeV^{2}) obtained from Jefferson Lab Hall A experiment E12-06-014. The corresponding structure functions dσ_{T}/dt+εdσ_{L}/dt, dσ_{TT}/dt, dσ_{LT}/dt, and dσ_{LT^{'}}/dt are extracted as a function of the proton momentum transfer t-t_{min}. The results suggest the amplitude for transversely polarized virtual photons continues to dominate the cross section throughout this kinematic range. The data are well described by calculations based on transversity generalized parton distributions coupled to a helicity flip distribution amplitude of the pion, thus providing a unique way to probe the structure of the nucleon.
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Affiliation(s)
- M Dlamini
- Ohio University, Athens, Ohio 45701, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | - S F Ali
- Catholic University of America, Washington, DC 20064, USA
| | - P-J Lin
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - F Georges
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - H-S Ko
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
- Seoul National University, 1 Gwanak-ro, Gwanak-gu, 08826 Seoul, Korea
| | - N Israel
- Ohio University, Athens, Ohio 45701, USA
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Stefanko
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - D Adikaram
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z Ahmed
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - H Albataineh
- Texas A&M University-Kingsville, Kingsville, Texas 78363, USA
| | - B Aljawrneh
- North Carolina Ag. and Tech. State University, Greensboro, North Carolina 27411, USA
| | - K Allada
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Allison
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
| | - D Androic
- University of Zagreb, Trg Republike Hrvatske 14, 10000 Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - J Annand
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Averett
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - C Ayerbe Gayoso
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - X Bai
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Bane
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Barcus
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - K Bartlett
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Dipt. Di Fisica delle Uni. di Catania, I-95123 Catania, Italy
| | | | - J Bericic
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - E Brash
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J Campbell
- Dalhousie University, Nova Scotia B3H 4R2, Canada
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Carmignotto
- Catholic University of America, Washington, DC 20064, USA
| | - J Castellano
- Florida International University, Miami, Florida 33199, USA
| | - C Chen
- Hampton University, Hampton, Virginia 23669, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - M E Christy
- Hampton University, Hampton, Virginia 23669, USA
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, P.le Aldo Moro, 2-00185 Roma, Italy
| | - B Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - E Cohen
- Tel Aviv University, Tel Aviv 699780 1, Israel
| | - N Compton
- Ohio University, Athens, Ohio 45701, USA
| | - J C Cornejo
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - S Covrig Dusa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Crowe
- North Carolina Central University, Durham, North Carolina 27707, USA
| | - S Danagoulian
- North Carolina Ag. and Tech. State University, Greensboro, North Carolina 27411, USA
| | - T Danley
- Ohio University, Athens, Ohio 45701, USA
| | - F De Persio
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, P.le Aldo Moro, 2-00185 Roma, Italy
| | - W Deconinck
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - M Defurne
- CEA Saclay, 91191 Gif-sur-Yvette, France
| | - C Desnault
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D Di
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Duer
- Tel Aviv University, Tel Aviv 699780 1, Israel
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Fanelli
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Franklin
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - O Glamazdin
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - K Gnanvo
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - V M Gray
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - C Gu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T Hague
- Kent State University, Kent, Ohio 44240, USA
| | - G Hamad
- Ohio University, Athens, Ohio 45701, USA
| | - D Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - K Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Randolph Macon College, Ashlan, Virginia 23005, USA
| | - T Horn
- Catholic University of America, Washington, DC 20064, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Huang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - C Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Ibrahim
- Cairo University, Cairo 121613, Egypt
| | - C-M Jen
- Virginia Polytechnic Institute & State University, Blacksburg, Virginia 234061, USA
| | - K Jin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Kabir
- Kent State University, Kent, Ohio 44240, USA
| | - C Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Khachatryan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Stony Brook, State University of New York, New York 11794, USA
- Cornell University, Ithaca, New York 14853, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - W Li
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - J Liu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - A Liyanage
- Hampton University, Hampton, Virginia 23669, USA
| | - J Magee
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Mammei
- University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - E McClellan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Meddi
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, P.le Aldo Moro, 2-00185 Roma, Italy
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Mesik
- Rutgers University, New Brunswick, New Jersey 08854, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Mkrtchyan
- Catholic University of America, Washington, DC 20064, USA
| | - R Montgomery
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C Muñoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - L S Myers
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S J Nazeer
- Hampton University, Hampton, Virginia 23669, USA
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - N Nuruzzaman
- Hampton University, Hampton, Virginia 23669, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - O F Obretch
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - L Ou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | - K Park
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - C Peng
- Duke University, Durham, North Carolina 27708, USA
| | - R Pomatsalyuk
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - E Pooser
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - B Quinn
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Rahman
- University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Roche
- Ohio University, Athens, Ohio 45701, USA
| | - I Sapkota
- Catholic University of America, Washington, DC 20064, USA
| | - A Sarty
- Saint Mary's University, Halifax, Nova Scotia B3H 3C3, Canada
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N H Saylor
- Rensselaer Polytechnic Institute, Troy, New York 12180, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M H Shabestari
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - A Shahinyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - S Sirca
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Spies
- University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
| | - A Subedi
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - V Sulkosky
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Sun
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - L Thorne
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y Tian
- Shandong University, Jinan, Shandong, 250100, China
| | - N Ton
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - F Tortorici
- Istituto Nazionale di Fisica Nucleare, Dipt. Di Fisica delle Uni. di Catania, I-95123 Catania, Italy
| | - R Trotta
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - G M Urciuoli
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, P.le Aldo Moro, 2-00185 Roma, Italy
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - B Waidyawansa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Wang
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- Huangshan University, Huangshan, Anhui, 245041, China
| | - L Ye
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - Z Ye
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C Yero
- Florida International University, Miami, Florida 33199, USA
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Zhao
- Stony Brook, State University of New York, New York 11794, USA
| | - P Zhu
- University of Science and Technology of China, Hefei, Anhui 230026, China
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Wang Z, Yang F, Sun A, Shan S, Zhang Y, Wang S. Expression Profiles and Functional Characterization of Chemosensory Protein 15 (HhalCSP15) in the Brown Marmorated Stink Bug Halyomorpha halys. Front Physiol 2021; 12:721247. [PMID: 34552507 PMCID: PMC8450399 DOI: 10.3389/fphys.2021.721247] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 08/10/2021] [Indexed: 11/17/2022] Open
Abstract
Chemosensory proteins (CSPs) have been identified in the sensory tissues of various insect species and are believed to be involved in chemical communication in insects. However, the physiological roles of CSPs in Halyomorpha halys, a highly invasive insect species, are rarely reported. Here, we focused on one of the antennal CSPs (HhalCSP15) and determined whether it was involved in olfactory perception. Reverse transcription PCR (RT-PCR) and quantitative real-time PCR (qRT-PCR) analysis showed that HhalCSP15 was enriched in nymph and male and female adult antennae, indicating its possible involvement in the chemosensory process. Fluorescence competitive binding assays revealed that three of 43 natural compounds showed binding abilities with HhalCSP15, including β-ionone (Ki=11.9±0.6μM), cis-3-hexen-1-yl benzoate (Ki=10.5±0.4μM), and methyl (2E,4E,6Z)-decatrienoate (EEZ-MDT; Ki=9.6±0.8μM). Docking analysis supported the experimental affinity for the three ligands. Additionally, the electrophysiological activities of the three ligands were further confirmed using electroantennography (EAG). EEZ-MDT is particularly interesting, as it serves as a kairomone when H. halys forages for host plants. We therefore conclude that HhalCSP15 might be involved in the detection of host-related volatiles. Our data provide a basis for further investigation of the physiological roles of CSPs in H. halys, and extend the olfactory function of CSPs in stink bugs.
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Affiliation(s)
- Zehua Wang
- Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant and Environment Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Fan Yang
- Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant and Environment Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Ang Sun
- Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant and Environment Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Shuang Shan
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yongjun Zhang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shanning Wang
- Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China, Institute of Plant and Environment Protection, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
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Han Q, Liu Y, Feng X, Mao P, Sun A, Wang M, Wang M. Pollution effect assessment of industrial activities on potentially toxic metal distribution in windowsill dust and surface soil in central China. Sci Total Environ 2021; 759:144023. [PMID: 33340857 DOI: 10.1016/j.scitotenv.2020.144023] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 07/31/2020] [Revised: 11/17/2020] [Accepted: 11/17/2020] [Indexed: 06/12/2023]
Abstract
Boundaries between industrial and urban areas in developing countries are not clearly defined, but pollution effect assessment of industrial activities on potentially toxic metal (PTM) distribution in these areas has rarely been investigated. Fifteen villages and eight communities surrounding the industrial areas from Anyang, China, were chosen as research objects in this study. A total of 78 windowsill dust and 78 surface soil samples were collected to determine the pollution levels, spatial distribution and risk indices of nine PTMs. PTM concentrations (expect Cr, Mn and Ni in surface soil) in the surveyed region were higher than the local soil background values. Amongst these PTMs, serious Cd and As pollution was discovered, and Cd and As in windowsill dust and surface soil exceeded the background value by 73.00 and 9.59, 9.74 and 10.92 times, respectively. Compared with the Igeo in surface soil, a large degree of variation in Igeo for the different PTMs was found in windowsill dust. The interpolated spatial distribution of dust Cr, Zn, Pb, Cd and soil Mn, Ni and Cu had a gradually decreasing pollution trend from the south to the north due to the prevailing wind directions in winter in the study area. Results of multivariate statistics reflected that industrial production and traffic emission affected the concentration of PTMs in windowsill dust and surface soil. The non-carcinogenic risks for children (soil: 12.4; dust: 19.2) were larger than those for adults (soil: 1.02; dust: 1.51). This finding suggested that industrial activities caused serious harm to the residents around industrial areas.
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Affiliation(s)
- Qiao Han
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo, Henan 454003, China
| | - Yang Liu
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo, Henan 454003, China
| | - Xixi Feng
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo, Henan 454003, China
| | - Pan Mao
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo, Henan 454003, China
| | - Ang Sun
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo, Henan 454003, China
| | - Mingya Wang
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo, Henan 454003, China
| | - Mingshi Wang
- College of Resource and Environment, Henan Polytechnic University, Jiaozuo, Henan 454003, China.
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29
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Bhetuwal D, Matter J, Szumila-Vance H, Kabir ML, Dutta D, Ent R, Abrams D, Ahmed Z, Aljawrneh B, Alsalmi S, Ambrose R, Androic D, Armstrong W, Asaturyan A, Assumin-Gyimah K, Ayerbe Gayoso C, Bandari A, Basnet S, Berdnikov V, Bhatt H, Biswas D, Boeglin WU, Bosted P, Brash E, Bukhari MHS, Chen H, Chen JP, Chen M, Christy EM, Covrig S, Craycraft K, Danagoulian S, Day D, Diefenthaler M, Dlamini M, Dunne J, Duran B, Evans R, Fenker H, Fomin N, Fuchey E, Gaskell D, Gautam TN, Gonzalez FA, Hansen JO, Hauenstein F, Hernandez AV, Horn T, Huber GM, Jones MK, Joosten S, Karki A, Keppel C, Khanal A, King PM, Kinney E, Ko HS, Kohl M, Lashley-Colthirst N, Li S, Li WB, Liyanage AH, Mack D, Malace S, Markowitz P, Meekins D, Michaels R, Mkrtchyan A, Mkrtchyan H, Nazeer SJ, Nanda S, Niculescu G, Niculescu I, Nguyen D, Pandey B, Park S, Pooser E, Puckett A, Rehfuss M, Reinhold J, Santiesteban N, Sawatzky B, Smith GR, Sun A, Tadevosyan V, Trotta R, Wood SA, Yero C, Zhang J. Ruling out Color Transparency in Quasielastic ^{12}C(e,e^{'}p) up to Q^{2} of 14.2 (GeV/c)^{2}. Phys Rev Lett 2021; 126:082301. [PMID: 33709760 DOI: 10.1103/physrevlett.126.082301] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 12/15/2020] [Accepted: 01/14/2021] [Indexed: 06/12/2023]
Abstract
Quasielastic ^{12}C(e,e^{'}p) scattering was measured at spacelike 4-momentum transfer squared Q^{2}=8, 9.4, 11.4, and 14.2 (GeV/c)^{2}, the highest ever achieved to date. Nuclear transparency for this reaction was extracted by comparing the measured yield to that expected from a plane-wave impulse approximation calculation without any final state interactions. The measured transparency was consistent with no Q^{2} dependence, up to proton momenta of 8.5 GeV/c, ruling out the quantum chromodynamics effect of color transparency at the measured Q^{2} scales in exclusive (e,e^{'}p) reactions. These results impose strict constraints on models of color transparency for protons.
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Affiliation(s)
- D Bhetuwal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - J Matter
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - H Szumila-Vance
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M L Kabir
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Dutta
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Abrams
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - Z Ahmed
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - B Aljawrneh
- North Carolina A & T State University, Greensboro, North Carolina 27411, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
| | - R Ambrose
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - D Androic
- University of Zagreb, Zagreb, Croatia
| | - W Armstrong
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - A Asaturyan
- A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia
| | - K Assumin-Gyimah
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - C Ayerbe Gayoso
- Mississippi State University, Mississippi State, Mississippi 39762, USA
- The College of William & Mary, Williamsburg, Virginia 23185, USA
| | - A Bandari
- The College of William & Mary, Williamsburg, Virginia 23185, USA
| | - S Basnet
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - V Berdnikov
- Catholic University of America, Washington, DC 20064, USA
| | - H Bhatt
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - W U Boeglin
- Florida International University, University Park, Florida 33199, USA
| | - P Bosted
- The College of William & Mary, Williamsburg, Virginia 23185, USA
| | - E Brash
- Christopher Newport University, Newport News, Virginia 23606, USA
| | | | - H Chen
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - J P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Chen
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - E M Christy
- Hampton University, Hampton, Virginia 23669, USA
| | - S Covrig
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Craycraft
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Danagoulian
- North Carolina A & T State University, Greensboro, North Carolina 27411, USA
| | - D Day
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - M Diefenthaler
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Dlamini
- Ohio University, Athens, Ohio 45701, USA
| | - J Dunne
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Evans
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - H Fenker
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N Fomin
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T N Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - F A Gonzalez
- Stony Brook University, Stony Brook, New York 11794, USA
| | - J O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A V Hernandez
- Catholic University of America, Washington, DC 20064, USA
| | - T Horn
- Catholic University of America, Washington, DC 20064, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - M K Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Joosten
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - A Karki
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - C Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Khanal
- Florida International University, University Park, Florida 33199, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - E Kinney
- University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - H S Ko
- Institut de Physique Nucleaire, Orsay, France
| | - M Kohl
- Hampton University, Hampton, Virginia 23669, USA
| | | | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - W B Li
- The College of William & Mary, Williamsburg, Virginia 23185, USA
| | - A H Liyanage
- Hampton University, Hampton, Virginia 23669, USA
| | - D Mack
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Markowitz
- Florida International University, University Park, Florida 33199, USA
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Mkrtchyan
- A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia
| | - H Mkrtchyan
- A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia
| | - S J Nazeer
- Hampton University, Hampton, Virginia 23669, USA
| | - S Nanda
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - I Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - S Park
- Stony Brook University, Stony Brook, New York 11794, USA
| | - E Pooser
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Rehfuss
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - J Reinhold
- Florida International University, University Park, Florida 33199, USA
| | - N Santiesteban
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Sun
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - V Tadevosyan
- A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia
| | - R Trotta
- Catholic University of America, Washington, DC 20064, USA
| | - S A Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Yero
- Florida International University, University Park, Florida 33199, USA
| | - J Zhang
- Stony Brook University, Stony Brook, New York 11794, USA
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30
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Yero C, Abrams D, Ahmed Z, Ahmidouch A, Aljawrneh B, Alsalmi S, Ambrose R, Armstrong W, Asaturyan A, Assumin-Gyimah K, Ayerbe Gayoso C, Bandari A, Bane J, Basnet S, Berdnikov VV, Bericic J, Bhatt H, Bhetuwal D, Biswas D, Boeglin WU, Bosted P, Brash E, Bukhari MHS, Chen H, Chen JP, Chen M, Christy ME, Covrig S, Craycraft K, Danagoulian S, Day D, Diefenthaler M, Dlamini M, Dunne J, Duran B, Dutta D, Ent R, Evans R, Fenker H, Fomin N, Fuchey E, Gaskell D, Gautam TN, Gonzalez FA, Hansen JO, Hauenstein F, Hernandez AV, Horn T, Huber GM, Jones MK, Joosten S, Kabir ML, Karki A, Keppel CE, Khanal A, King P, Kinney E, Lashley-Colthirst N, Li S, Li WB, Liyanage AH, Mack DJ, Malace SP, Matter J, Meekins D, Michaels R, Mkrtchyan A, Mkrtchyan H, Nazeer SJ, Nanda S, Niculescu G, Niculescu M, Nguyen D, Nuruzzaman N, Pandey B, Park S, Perdrisat CF, Pooser E, Rehfuss M, Reinhold J, Sawatzky B, Smith GR, Sun A, Szumila-Vance H, Tadevosyan V, Wood SA, Zhang J. Probing the Deuteron at Very Large Internal Momenta. Phys Rev Lett 2020; 125:262501. [PMID: 33449750 DOI: 10.1103/physrevlett.125.262501] [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: 08/19/2020] [Revised: 10/27/2020] [Accepted: 12/02/2020] [Indexed: 06/12/2023]
Abstract
We measure ^{2}H(e,e^{'}p)n cross sections at 4-momentum transfers of Q^{2}=4.5±0.5 (GeV/c)^{2} over a range of neutron recoil momenta p_{r}, reaching up to ∼1.0 GeV/c. We obtain data at fixed neutron recoil angles θ_{nq}=35°, 45°, and 75° with respect to the 3-momentum transfer q[over →]. The new data agree well with previous data, which reached p_{r}∼500 MeV/c. At θ_{nq}=35° and 45°, final state interactions, meson exchange currents, and isobar currents are suppressed and the plane wave impulse approximation provides the dominant cross section contribution. We compare the new data to recent theoretical calculations, where we observe a significant discrepancy for recoil momenta p_{r}>700 MeV/c.
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Affiliation(s)
- C Yero
- Florida International University, University Park, Florida 33199, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Abrams
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - Z Ahmed
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - A Ahmidouch
- North Carolina Agricultural and Technical State University, Greensboro, North Carolina 27411, USA
| | - B Aljawrneh
- North Carolina Agricultural and Technical State University, Greensboro, North Carolina 27411, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
| | - R Ambrose
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - W Armstrong
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - A Asaturyan
- A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), 2 Alikhanian Brothers Street, 0036, Yerevan, Armenia
| | - K Assumin-Gyimah
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - C Ayerbe Gayoso
- College of William & Mary, Williamsburg, Virginia 23185, USA
| | - A Bandari
- College of William & Mary, Williamsburg, Virginia 23185, USA
| | - J Bane
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Basnet
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - V V Berdnikov
- Catholic University of America, Washington, D.C. 20064, USA
| | - J Bericic
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Bhatt
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Bhetuwal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - W U Boeglin
- Florida International University, University Park, Florida 33199, USA
| | - P Bosted
- College of William & Mary, Williamsburg, Virginia 23185, USA
| | - E Brash
- Christopher Newport University, Newport News, Virginia 23606, USA
| | | | - H Chen
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - J P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Chen
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - M E Christy
- Hampton University, Hampton, Virginia 23669, USA
| | - S Covrig
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Craycraft
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Danagoulian
- North Carolina Agricultural and Technical State University, Greensboro, North Carolina 27411, USA
| | - D Day
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - M Diefenthaler
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Dlamini
- Ohio University, Athens, Ohio 45701, USA
| | - J Dunne
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Dutta
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Evans
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - H Fenker
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N Fomin
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T N Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - F A Gonzalez
- Stony Brook University, Stony Brook, New York 11794, USA
| | - J O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A V Hernandez
- Catholic University of America, Washington, D.C. 20064, USA
| | - T Horn
- Catholic University of America, Washington, D.C. 20064, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - M K Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Joosten
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - M L Kabir
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - A Karki
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - C E Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Khanal
- Florida International University, University Park, Florida 33199, USA
| | - P King
- Ohio University, Athens, Ohio 45701, USA
| | - E Kinney
- University of Colorado Boulder, Boulder, Colorado 80309, USA
| | | | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - W B Li
- College of William & Mary, Williamsburg, Virginia 23185, USA
| | - A H Liyanage
- Hampton University, Hampton, Virginia 23669, USA
| | - D J Mack
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S P Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Matter
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Mkrtchyan
- A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), 2 Alikhanian Brothers Street, 0036, Yerevan, Armenia
| | - H Mkrtchyan
- A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), 2 Alikhanian Brothers Street, 0036, Yerevan, Armenia
| | - S J Nazeer
- Hampton University, Hampton, Virginia 23669, USA
| | - S Nanda
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - N Nuruzzaman
- Rutgers University, New Brunswick, New Jersey 08854, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - S Park
- Stony Brook University, Stony Brook, New York 11794, USA
| | - C F Perdrisat
- College of William & Mary, Williamsburg, Virginia 23185, USA
| | - E Pooser
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Rehfuss
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - J Reinhold
- Florida International University, University Park, Florida 33199, USA
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Sun
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - H Szumila-Vance
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Tadevosyan
- A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), 2 Alikhanian Brothers Street, 0036, Yerevan, Armenia
| | - S A Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Zhang
- Stony Brook University, Stony Brook, New York 11794, USA
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Yan M, Toh T, Lindsay P, Weiss J, Hueniken K, Sugumar V, Yeung C, Lu L, Pintos D, Sun A, Bezjak A, Cho J, Raman S, Hope A, Giuliani M, Liu G, Moraes F, Lok B. Limited-Stage Small Cell Lung Cancer: Outcomes Associated with Prophylactic Cranial Irradiation Over a 20-year Period at a Single Institution. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1305] [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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Moore R, Lau S, Bezjak A, Sacher A, Liu Z, Hope A, Lok B, Giuliani M, Cho J, Sun A. The Clinical Relevance and Management of Grade 2 Pneumonitis in Stage III Non-Small Cell Lung Cancer Patients on Adjuvant Durvalumab. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1211] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Wong R, Lindsay P, Giuliani M, Chung P, Dawson L, Kim J, Bezjak A, Sun A, Ringash J, Brierley J, Hope A, Helou J, Han K, Bayley A, Barry A, Liu Z. Outcomes after Normal Tissue-Adopted 5 Fraction (Fr) Stereotactic Body Radiotherapy (SBRT) for Extra-Cranial Oligometastases - A Prospective Study. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Ou T, Yang W, Li W, Lu Y, Dong Z, Sun A, Ge J. SIRT5 deficiency enhances the proliferative and therapeutic capacities of adipose-derived mesenchymal stem cell via metabolic switching. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.3840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Mesenchymal stem/stromal cells (MSCs) render potential therapies for multiple ischemic diseases. However, in vitro expansion of MSCs before application leads to a metabolic switch from glycolysis to oxidative phosphorylation, drastically impairing their proliferative and therapeutic capacities.
Purpose
Here we aim to identify the role of SIRT5, a master metabolic regulator, in culture expansion of adipose-derived MSCs (ADMSCs).
Methods
SIRT5 deficiencyADMSCs was obtained from Sirt5−/− mice and their metabolic pattern and proliferation capacity were tested during in vitro expansion. Hind limb ischemic model was established to evaluated the therapeutic function of Sirt5−/−ADMSCs.
Results
SIRT5 protein level was upregulated in ADMCSs undergoing culture expansion. Sirt5−/−ADMSCs during in vitro expansion exhibited higher proliferation rate, delayed senescence and enhanced antioxidant capacity. SIRT5 deficiency induced hypersuccinylation of metabolic-related proteins, leading to attenuated mitochondrial respiration with elevated glycolysis and pentose phosphate pathway. Furthermore, lowering succinylation level by glycine treatment reversed the altered metabolism and enhanced proliferation of Sirt5−/−ADMSCs. In mice hind limb ischemic model, SIRT5−/−ADMSCs treatment achieved better blood flow recovery and angiogenesis compared to WT ADMSCs treatment.
Conclusion
We reveal that SIRT5 is a key regulator of ADMSCs undergoing in vitro culture. Ablation of SIRT5 leads to reversed metabolic pattern, enhanced proliferative capacity and improved therapeutic outcomes. Our data provide a potential target for enhancing MSC functional properties during bio-manufacturing in future MSC therapy. Such work may not only benefit MSC cell therapy, but could extent to a wide variety of other stem cells that share similar metabolic pattern.
Graphic Abstract
Funding Acknowledgement
Type of funding source: Public grant(s) – National budget only. Main funding source(s): Major Research Plan of the National Natural Science Foundation of China. National Science Fund for Distinguished Young Scholars.
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Affiliation(s)
- T Ou
- Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - W Yang
- Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - W Li
- Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - Y Lu
- Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - Z Dong
- Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - A Sun
- Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
| | - J Ge
- Zhongshan Hospital, Fudan University, Shanghai Institute of Cardiovascular Diseases, Shanghai, China
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Sun A, Simsek Papur O, Dirkx E, Wong L, Sips T, Wang S, Strzelecka A, Nabben M, Glatz JFC, Neumann D, Luiken JJFP. Phosphatidylinositol 4-kinase IIIβ mediates contraction-induced GLUT4 translocation and shows its anti-diabetic action in cardiomyocytes. Cell Mol Life Sci 2020; 78:2839-2856. [PMID: 33090289 PMCID: PMC8004495 DOI: 10.1007/s00018-020-03669-7] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 08/31/2020] [Accepted: 10/05/2020] [Indexed: 01/15/2023]
Abstract
In the diabetic heart, long-chain fatty acid (LCFA) uptake is increased at the expense of glucose uptake. This metabolic shift ultimately leads to insulin resistance and a reduced cardiac function. Therefore, signaling kinases that mediate glucose uptake without simultaneously stimulating LCFA uptake could be considered attractive anti-diabetic targets. Phosphatidylinositol-4-kinase-IIIβ (PI4KIIIβ) is a lipid kinase downstream of protein kinase D1 (PKD1) that mediates Golgi-to-plasma membrane vesicular trafficking in HeLa-cells. In this study, we evaluated whether PI4KIIIβ is involved in myocellular GLUT4 translocation induced by contraction or oligomycin (an F1F0-ATP synthase inhibitor that activates contraction-like signaling). Pharmacological targeting, with compound MI14, or genetic silencing of PI4KIIIβ inhibited contraction/oligomycin-stimulated GLUT4 translocation and glucose uptake in cardiomyocytes but did not affect CD36 translocation nor LCFA uptake. Addition of the PI4KIIIβ enzymatic reaction product phosphatidylinositol-4-phosphate restored oligomycin-stimulated glucose uptake in the presence of MI14. PI4KIIIβ activation by PKD1 involves Ser294 phosphorylation and altered its localization with unchanged enzymatic activity. Adenoviral PI4KIIIβ overexpression stimulated glucose uptake, but did not activate hypertrophic signaling, indicating that unlike PKD1, PI4KIIIβ is selectively involved in GLUT4 translocation. Finally, PI4KIIIβ overexpression prevented insulin resistance and contractile dysfunction in lipid-overexposed cardiomyocytes. Together, our studies identify PI4KIIIβ as positive and selective regulator of GLUT4 translocation in response to contraction-like signaling, suggesting PI4KIIIβ as a promising target to rescue defective glucose uptake in diabetics.
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Affiliation(s)
- A Sun
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands
| | - O Simsek Papur
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands
| | - E Dirkx
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands
| | - L Wong
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands.,Department of Clinical Genetics, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands
| | - T Sips
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands
| | - S Wang
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands
| | - A Strzelecka
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands
| | - M Nabben
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands.,Department of Clinical Genetics, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht, The Netherlands
| | - J F C Glatz
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands.,Department of Clinical Genetics, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands
| | - D Neumann
- Department of Pathology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht, The Netherlands
| | - J J F P Luiken
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University Medical Center+, 6200 MD, Maastricht, The Netherlands.
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Liu X, Duan X, Zhang Y, Sun A, Fan D. Molecular analysis and clinical diversity of distal hereditary motor neuropathy. Eur J Neurol 2020; 27:1319-1326. [PMID: 32298515 DOI: 10.1111/ene.14260] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 12/05/2019] [Accepted: 04/07/2020] [Indexed: 01/13/2023]
Abstract
BACKGROUND AND PURPOSE Distal hereditary motor neuropathies (dHMNs) are a clinically and genetically heterogeneous group of disorders. The purpose of this study was to identify the genetic distribution of dHMNs in a large cohort of Chinese patients and provide insight into the underlying common pathophysiology of dHMNs. METHODS Multi-gene panel testing or whole-exome sequencing was performed in 70 index patients with clinically diagnosed dHMN between January 2007 and December 2018. The clinical features, Charcot-Marie-Tooth (CMT) neuropathy scores and electrophysiological data at diagnosis were recorded. RESULTS Twenty-four causative mutations were identified in 70 index patients with dHMN (34.3%). Mutation in the HSPB1 gene was the most common cause of dHMN. Some CMT genes (MPZ, SH3TC2, GDAP1) were found to be related to dHMN with minor sensory involvement. Patients with a dHMN-plus phenotype (distal motor neuropathy and additional neurological deficits) carried variants in genes related to hereditary spastic paraplegia, amyotrophic lateral sclerosis and spinal muscular atrophy (FUS, KIF5A, KIF1B, ZFYVE26, DNAJB2). CONCLUSIONS Comprehensive genetic testing of dHMN patients allows for identification of the pathogenic mutation in one-third of cases. Pure motor neuropathies and motor neuropathies with minor sensory involvement share many genes with CMT disease. Causes for dHMN-plus phenotypes overlap with motor neuron disease.
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Affiliation(s)
- X Liu
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - X Duan
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Y Zhang
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - A Sun
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China
| | - D Fan
- Department of Neurology, Peking University Third Hospital, Beijing, China.,Beijing Municipal Key Laboratory of Biomarker and Translational Research in Neurodegenerative Diseases, Beijing, China.,Key Laboratory for Neuroscience, National Health Commission/Ministry of Education, Peking University, Beijing, China
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Qian L, Soderquist C, Schrank‐Hacker A, Strauser H, Dupoux V, Tang CN, Smith JR, Sun A, Majumdar S, Nguyen T, Widura S, Landsburg DJ, Schuster SJ, Baxter RHG, Bogusz AM. Deletion 20q12 is associated with histological transformation of nodal marginal zone lymphoma to diffuse large B-cell lymphoma. Am J Hematol 2020; 95:238-244. [PMID: 31804739 DOI: 10.1002/ajh.25694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 11/26/2019] [Accepted: 11/29/2019] [Indexed: 11/06/2022]
Abstract
The genetic and molecular abnormalities underlying histological transformation (HT) of nodal marginal zone lymphoma (NMZL) to diffuse large B-cell lymphoma (DLBCL) are not well known. While del(20q12) is commonly deleted in myelodysplastic syndrome it has not previously been associated with DLBCL. We recently described a case of DLBCL harboring del(20q12) in a patient with a history of MZL involving lymph nodes and skin. Here we report eight matched cases of transformed MZL(tMZL): six from nodal MZL (tNMZL) and two from splenic MZL (tSMZL). We found >20% del(20q12) in 4/6 tNMZL, but not in tSMZL, nor in unmatched DLBCL, MZL with increased large cells (MZL-ILC), or MZL cases. To examine whether transformation is associated with a specific gene signature, the matched cases were analyzed for multiplexed gene expression using the Nanostring PanCancer Pathways panel. The differential gene expression signature revealed enrichment of inflammatory markers, as previously observed in MZL. Also, tMZL and de novo DLBCL were enriched for extracellular matrix proteins such as collagen and fibronectin, vascular development protein PDGFRβ, DNA repair protein RAD51, and oncogenic secrete protein Wnt11. A subset of genes is expressed differentially in del(20q12) tMZL cases vs non-del(20q12) tMZL cases. These results suggest a specific pathway is involved in the histological transformation of NMZL, which could serve as an indicator of aggressive clinical course in this otherwise indolent neoplasm.
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Affiliation(s)
- Lei Qian
- Department of Medical Genetics & Molecular Biochemistry, Lewis Katz School of MedicineTemple University Philadelphia Pennsylvania
| | - Craig Soderquist
- Department of Pathology and Cell BiologyColumbia University Medical Center New York Pennsylvania
| | - April Schrank‐Hacker
- Department of Pathology and Laboratory MedicineHospital of the University of Pennsylvania Philadelphia Pennsylvania
| | - Honore Strauser
- Department of Pathology and Laboratory MedicineHospital of the University of Pennsylvania Philadelphia Pennsylvania
| | - Vanessa Dupoux
- Department of Pathology and Laboratory MedicineHospital of the University of Pennsylvania Philadelphia Pennsylvania
| | - Chi Ngong Tang
- Department of Pathology and Laboratory MedicineHospital of the University of Pennsylvania Philadelphia Pennsylvania
| | - Jennifer R. Smith
- Department of Pathology and Laboratory MedicineHospital of the University of Pennsylvania Philadelphia Pennsylvania
| | - Ang Sun
- Department of BiologyTemple University Philadelphia Pennsylvania
| | - Sonali Majumdar
- Wistar Genomics Shared ResourceThe Wistar Institute Philadelphia Pennsylvania
| | - Tran Nguyen
- Wistar Genomics Shared ResourceThe Wistar Institute Philadelphia Pennsylvania
| | - Sandy Widura
- Wistar Genomics Shared ResourceThe Wistar Institute Philadelphia Pennsylvania
| | - Daniel J. Landsburg
- Department of Medicine, Perelman School of MedicineUniversity of Pennsylvania Philadelphia Pennsylvania
- Lymphoma Program, Abramson Cancer CenterUniversity of Pennsylvania Philadelphia Pennsylvania
| | - Stephen J. Schuster
- Department of Medicine, Perelman School of MedicineUniversity of Pennsylvania Philadelphia Pennsylvania
- Lymphoma Program, Abramson Cancer CenterUniversity of Pennsylvania Philadelphia Pennsylvania
| | - Richard H. G. Baxter
- Department of Medical Genetics & Molecular Biochemistry, Lewis Katz School of MedicineTemple University Philadelphia Pennsylvania
| | - Agata M. Bogusz
- Department of Pathology and Laboratory MedicineHospital of the University of Pennsylvania Philadelphia Pennsylvania
- Lymphoma Program, Abramson Cancer CenterUniversity of Pennsylvania Philadelphia Pennsylvania
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Sun A, Amighi A, Eleswarapu S, Mills S, Regets K, Mills J. 154 Continued Improvement After More than Eight Injections of Collagenase Clostridium Histolyticum for Peyronie's Disease. J Sex Med 2020. [DOI: 10.1016/j.jsxm.2019.11.099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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39
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Witlox W, De Ruysscher D, Lacas B, Le Pechoux C, Pignon J, Guckenberger M, Sun A, Redman M, Wang S, Hu C, Van Der Noort V, Li N, Van Tinteren H, Groen H, Joore M, Ramaekers B. OA12.01 PCI for Radically Treated Non-Small Cell Lung Cancer: A Meta-Analysis Using Updated Individual Patient Data of Randomized Trials. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.471] [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: 10/25/2022]
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Bissonnette J, Everitt S, Feigenberg S, Sun A. Predicting Upstage Rate As a Function of Delay from Diagnostic Imaging for Locally-Advanced Lung Cancer Radiotherapy. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.1408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Deshpande S, Grubb W, Kharouta M, Sun A, Podder T, Zhang Y, Zheng Y, Linden P, Towe C, Perry Y, Machtay M, Biswas T. Predictors of Radiation Pneumonitis after Lung SBRT for Early Stage Non-Small Cell Lung Cancer (NSCLC). Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.1321] [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: 10/26/2022]
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Park PH, Gharaibeh RZ, Cole L, Sun A, Chung W, Jelinek J, Pope JL, Jobin C, Issa JPJ. Abstract LB-141: CIMP is associated with altered microbiota composition in colorectal cancer patients. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-lb-141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
DNA methylation changes are important in cancer development and the etiology of the CpG Island Methylator Phenotype (CIMP), the most extreme form of aberrant promoter DNA methylation in cancer, can only partially be explained by genetic changes. An association between CIMP and the gut microbiota has been implicated in colorectal cancer (CRC) pathogenesis but the exact mechanisms underlying the observations are poorly understood. In order to clarify the link between CIMP and the microbiome in CRC, we studied human primary tumor and adjacent mucosal tissues (normal) from CRC patients (n=46). The patient samples were categorized by tumor sites (23 proximal and 23 distal), sex (28 males and 18 females), and age (69 yrs ±11). Bisulfite pyrosequencing and Digital Restriction Enzyme Analysis of Methylation (DREAM) were performed to determine the methylation of CpG sites in the CRC tumors. The tumor samples were selected based on their CIMP status (10 high, 10 low, and 26 negative) and the tumor sites. 16S rRNA gene sequencing using Illumina-Hi-Seq was performed on those samples. Principle Coordinate analysis of the 16S rRNA sequences showed that the microbiota of CIMP-positive (CIMP-high and -low combined) tumors was significantly different from the microbiota of the CIMP-negative tumors (PERMANOVA, P = 0.013). Linear discriminant analysis effect size (LEfSe) showed an enrichment of specific bacterial taxa in the CIMP-positive microbiota. Fusobacterium (LDA score = 4.71, p=0.033) and Erysipelotrichaceae (LDA score = 3.77, p=0.004) were most enriched in the CIMP-positive tumors along with Bacteroides. The microbiota of different tumor sites also showed significant difference with Fusobacterium (LDA score = 4.32, p=0.047) and Erysipelotrichaceae (LDA score = 3.45, p=0.039) being enriched in the proximal tumors compared to the distal tumors. All these bacterial taxa have previous been found to be associated with CRC and/or metabolic disorders. We validated the 16S rRNA data by qPCR analysis using genus-specific probes. In the same samples, Pan-Fusobacterium and Bacteroides fragilis were enriched in the CIMP-positive tumors. The median number of Pan-Fusobacterium per 100 human cells was 12-fold higher in the CIMP-positive tumors (p=0.0015) and 6-fold higher in the case of B. fragilis (p=0.0228). Thus, our data show broad difference in the microbiota of CIMP-positive CRCs compared to CIMP-negative CRCs. The significantly enriched bacterial taxa in CIMP-positive CRC suggest that these specific taxa could play an important role in aberrant DNA methylation modulation in colorectal cancer, and further studies should elucidate the mechanism underlying the CIMP/microbiota link in the context of CRC.
Citation Format: Pyoung Hwa Park, Raad Z. Gharaibeh, Lauren Cole, Ang Sun, Woonbok Chung, Jaroslav Jelinek, Jillian L. Pope, Christian Jobin, Jean-Pierre J. Issa. CIMP is associated with altered microbiota composition in colorectal cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr LB-141.
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Affiliation(s)
| | | | | | - Ang Sun
- 1Temple University, Philadelphia, PA
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Swaminath A, Vella ET, Ramchandar K, Robinson A, Simone C, Sun A, Ung YC, Yasufuku K, Ellis PM. Surgery after chemoradiotherapy in patients with stage III (N2 or N3, excluding T4) non-small-cell lung cancer: a systematic review. ACTA ACUST UNITED AC 2019; 26:e398-e404. [PMID: 31285684 DOI: 10.3747/co.26.4549] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Chemoradiation with curative intent is considered the standard of care in patients with locally advanced, stage iii non-small-cell lung cancer (nsclc). However, some patients with stage iii (N2 or N3, excluding T4) nsclc might be eligible for surgery. The objective of the present systematic review was to investigate the efficacy of surgery after chemoradiotherapy compared with chemoradiotherapy alone in patients with potentially resectable locally advanced nsclc. Methods A search of the medline, embase, and PubMed databases sought randomized controlled trials (rcts) comparing surgery after chemoradiotherapy with chemoradiotherapy alone in patients with stage iii (N2 or N3, excluding T4) nsclc. Results Three included rcts consistently found no statistically significant difference in overall survival between patients with locally advanced nsclc who received surgery and chemoradiotherapy or chemoradiotherapy alone. Only one rct found that progression-free survival was significantly longer in patients treated with chemoradiation and surgery (hazard ratio: 0.77; 95% confidence interval: 0.62 to 0.96). In a post hoc analysis of the same trial, the overall survival rate was higher in the surgical group than in matched patients in a chemoradiation-only group if a lobectomy was performed (p = 0.002), but not if a pneumonectomy was performed. Furthermore, fewer treatment-related deaths occurred in patients who underwent lobectomy than in those who underwent pneumonectomy. Conclusions For patients with locally advanced nsclc, the benefits of surgery after chemoradiation are uncertain. Surgery after chemoradiation for patients who do not require a pneumonectomy might be an option.
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Affiliation(s)
- A Swaminath
- Radiation Oncology, Juravinski Cancer Centre, and Department of Oncology, McMaster University, Hamilton, ON
| | - E T Vella
- Program in Evidence-Based Care, McMaster University, Hamilton, ON
| | - K Ramchandar
- Radiation Oncology, Thunder Bay Regional Health Sciences Centre-Cancer Care, Thunder Bay, ON
| | - A Robinson
- Medical Oncology, Kingston General Hospital, Kingston
| | - C Simone
- Department of Surgery, Michael Garron Hospital, Toronto, ON
| | - A Sun
- Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON
| | - Y C Ung
- Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, ON
| | - K Yasufuku
- Division of Thoracic Surgery, Toronto General Hospital, Toronto, ON
| | - P M Ellis
- Medical Oncology, Juravinski Cancer Centre, and Department of Oncology, McMaster University, Hamilton, ON
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44
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Sun A, Durocher-Allen LD, Ellis PM, Ung YC, Goffin JR, Ramchandar K, Darling G. Initial management of small-cell lung cancer (limited- and extensive-stage) and the role of thoracic radiotherapy and first-line chemotherapy: a systematic review. Curr Oncol 2019; 26:e372-e384. [PMID: 31285682 PMCID: PMC6588077 DOI: 10.3747/co.26.4481] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background Patients with limited-stage (ls) or extensive-stage (es) small-cell lung cancer (sclc) are commonly given platinum-based chemotherapy as first-line treatment. Standard chemotherapy for patients with ls sclc includes a platinum agent such as cisplatin combined with the non-platinum agent etoposide. The objective of the present systematic review was to investigate the efficacy of adding radiotherapy to chemotherapy in patients with es sclc and to determine the appropriate timing, dose, and schedule of chemotherapy or radiation for patients with sclc. Methods The medline and embase databases were searched for randomized controlled trials (rcts) comparing treatment with radiotherapy plus chemotherapy against treatment with chemotherapy alone in patients with es sclc. Identified rcts were also included if they compared various timings, doses, and schedules of treatment for patients with es sclc or ls sclc. Results Sixty-four rcts were included. In patients with ls sclc, overall survival was greatest with platinum-etoposide compared with other chemotherapy regimens. In patients with es sclc, overall survival was greatest with chemotherapy containing platinum-irinotecan than with chemotherapy containing platinum-etoposide (hazard ratio: 0.84; 95% confidence interval: 0.74 to 0.95; p = 0.006). The addition of radiation to chemotherapy for patients with es sclc showed mixed results. There was no conclusive evidence that the timing, dose, or schedule of thoracic radiation affected treatment outcomes in sclc. Conclusions In patients with ls sclc, cisplatin-etoposide plus radiotherapy should remain the standard therapy. In patients with es sclc, the evidence is insufficient to recommend the addition of radiotherapy to chemotherapy as standard practice to improve overall survival. However, on a case-by-case basis, radiotherapy might be added to reduce local recurrence. The most commonly used chemotherapy is platinum-etoposide; however, platinum-irinotecan can be considered.
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Affiliation(s)
- A Sun
- Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON
| | | | - P M Ellis
- Medical Oncology, Juravinski Cancer Centre, Hamilton, ON
- Department of Oncology, McMaster University, Hamilton, ON
| | - Y C Ung
- Radiation Oncology, Sunnybrook Odette Cancer Centre, Toronto, ON
| | - J R Goffin
- Medical Oncology, Juravinski Cancer Centre, Hamilton, ON
| | - K Ramchandar
- Radiation Oncology, Thunder Bay Regional Health Sciences Centre Regional Cancer Care, Thunder Bay, ON
| | - G Darling
- Thoracic Surgery, Toronto General Hospital, Toronto, ON
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Abstract
PURPOSE The aim of this study was to determine the effects of different menopausal hormone therapy regimens on body composition in healthy postmenopausal Chinese women. MATERIALS AND METHODS One hundred and twenty-three healthy postmenopausal Chinese women were randomly assigned to either group A (0.625 mg conjugated equine estrogens [CEE] plus 100 mg micronized progesterone [MP]), group B (0.3 mg CEE plus 100 mg MP), or group C (0.625 mg CEE plus 10 mg dydrogesterone). Body composition was assessed by dual-energy X-ray absorptiometry. RESULTS One hundred and two women completed the trial at 1 year. A small but significant gain in lean body mass (619 ± 1019 g, p = 0.002) and a decrease of fat mass in all separate regions was observed in group A. A significant shift from gynoid to android fat distribution was observed in group B and group C (android/gynoid fat percentage ratios increased by 0.06 ± 0.08, p = 0.000 and 0.03 ± 0.08, p = 0.018, respectively), whereas no significant change was observed in group A (0.02 ± 0.06, p = 0.103). CONCLUSIONS In healthy postmenopausal Chinese women, 0.625 mg of CEE combined with 100 mg of MP was associated with a more favorable fat distribution compared with 0.3 mg CEE plus 100 mg MP or 0.625 mg CEE plus 10 mg dydrogesterone.
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Affiliation(s)
- Y Deng
- a Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College , Chinese Academy of Medical Sciences , Beijing , China
| | - W Xue
- a Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College , Chinese Academy of Medical Sciences , Beijing , China
| | - Y Wang
- a Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College , Chinese Academy of Medical Sciences , Beijing , China
| | - S Zhu
- a Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College , Chinese Academy of Medical Sciences , Beijing , China
| | - X Ma
- a Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College , Chinese Academy of Medical Sciences , Beijing , China
| | - A Sun
- a Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College , Chinese Academy of Medical Sciences , Beijing , China
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Munoz Schuffenegger P, Kandel S, Allibhai Z, Hope A, Bezjak A, Sun A, Simeonov A, Cho J, Giuliani M. A Prospective Study of MRI Assessment of Post-Radiation Changes Following Stereotactic Body Radiation Therapy for Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1877] [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: 10/28/2022]
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Qu M, Jones M, Tsang R, Hodgson D, Sun A, Crump M, Gospodarowicz M. Outcome and Role of Radiation Therapy in Stage I-II Mesenteric Diffuse Large B-Cell Lymphoma. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Hasan M, Bang A, Lechtman E, Atenafu E, Sun A, Bissonnette J. Quantifying Upstage Rate as a Function of Delay from Diagnostic Imaging for Locally-Advanced Lung Cancer Patients. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1844] [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: 11/30/2022]
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Abstract
China launched a new rural pension scheme (hereafter NRPS) for rural residents in 2009, now covering almost all counties with over 400 million people enrolled. This implementation of the largest social pension program in the world offers a unique setting for studying the economics of intergenerational relationships during development, given the rapidity of China's population aging, traditions of filial piety and co-residence, decreasing number of children, and dearth of formal social security, at a relatively low income level. We draw on rich household surveys from two provinces at distinct development stages - impoverished Guizhou and relatively well-off Shandong - to better understand heterogeneity in the impact of pension benefits. Employing a fuzzy regression discontinuity design, we find that around the pension eligibility age cut-off, the NRPS significantly reduces intergenerational co-residence, especially between elderly parents and their adults sons; promotes pensioners' healthcare service consumption; and weakens (but does not supplant) non-pecuniary and pecuniary transfers across three generations. These effects are much larger in less developed Guizhou province.
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Affiliation(s)
| | | | - Ang Sun
- Central University of Finance and Economics
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Sun A, Hu C, Gore E, Wong S, Videtic G, Dutta S, Suntharalingam M, Chen Y, Gaspar L, Choy H. OA01.01 10-Year Updated Analysis of NRG Oncology/RTOG 0214: A Phase III Comparison of PCI vs. Observation in Patients with LA-NSCLC. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.233] [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: 11/30/2022]
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