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Dang S, Han D, Duan H, Jiang Y, Aihemaiti A, Yu N, Yu Y, Duan X. The value of T2-weighted MRI contrast ratio combined with DWI in evaluating the pathological grade of solid lung adenocarcinoma. Clin Radiol 2024; 79:279-286. [PMID: 38216369 DOI: 10.1016/j.crad.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/30/2023] [Accepted: 12/09/2023] [Indexed: 01/14/2024]
Abstract
AIM To assess the predictive value of T2-weighted (T2W) magnetic resonance imaging (MRI) in combination with diffusion-weighted imaging (DWI) for determining the pathological grading of solid lung adenocarcinoma. MATERIALS AND METHODS The clinical and imaging data from 153 cases of solid lung adenocarcinoma (82 men, 71 women, mean age 63.2 years) confirmed at histopathology in The First Affiliated Hospital of Xi'an Jiaotong University from January 2017 to May 2022 were analysed retrospectively. Adenocarcinomas were classified into low-grade (G1 and G2) and high-grade (G3) groups following the 2020 pathological grading system proposed by the International Association for the Study of Lung Cancer. The T2-weighted contrast ratio (T2CR), calculated as the T2 signal intensity of the lung mass/nodule divided by the T2 signal intensity of the right rhomboid muscle was utilised. Two experienced radiologists reviewed the MRI images independently, measured the T2CR, and obtained apparent diffusion coefficient (ADC) values. The Mann-Whitney U-test was used to compare general characteristics (sex, age, maximum diameter), T2CR, and ADC values between the low-grade and high-grade groups. The non-parametric Kruskal-Wallis test determined differences in T2CR and ADC values among the five adenocarcinoma subtypes. Receiver characteristic curve (ROC) analysis, along with area under the curve (AUC) calculation, assessed the effectiveness of each parameter in distinguishing the pathological grade of lung adenocarcinoma. A Z-test was used to compare the AUC values. RESULTS Among the 153 patients with adenocarcinoma, 103 had low-grade adenocarcinoma, and 50 had high-grade adenocarcinoma. The agreement between T2CR and ADC observers was good (0.948 and 0.929, respectively). None of the parameters followed a normal distribution (p<0.05). The ADC value was lower in the high-grade adenocarcinoma group compared to the low-grade adenocarcinoma group (p=0.004), while the T2CR value was higher in the high-grade group (p=0.011). Statistically significant differences were observed in maximum diameter and gender between the two groups (p<0.001 and p=0.005, respectively), while no significant differences were noted in age (p=0.980). Among the five adenocarcinoma subtypes, only the lepidic and micropapillary subtypes displayed statistical differences in ADC values (p=0.047), with the remaining subtypes showing no statistical differences (p>0.05). The AUC values for distinguishing high-grade adenocarcinoma from low-grade adenocarcinoma were 0.645 for ADC and 0.627 for T2CR. Combining T2CR, ADC, sex, and maximum diameter resulted in an AUC of 0.778, sensitivity of 70%, and specificity of 75%. This combination significantly improved diagnostic efficiency compared to T2CR and ADC alone (p=0.008, z = 2.624; p=0.007, z = 2.679). CONCLUSION The MRI quantitative parameters are useful for distinguishing the pathological grades of solid lung adenocarcinoma, offering valuable insights for precise lung cancer treatment.
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Affiliation(s)
- S Dang
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - D Han
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - H Duan
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Y Jiang
- Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - A Aihemaiti
- Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - N Yu
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China; Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Y Yu
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China; Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - X Duan
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China.
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Osorio Perez O, Nguyen NA, Hendricks A, Victor S, Mora SJ, Yu N, Xian X, Wang S, Kulick D, Forzani E. A Novel Acetone Sensor for Body Fluids. Biosensors (Basel) 2023; 14:4. [PMID: 38248381 PMCID: PMC10813317 DOI: 10.3390/bios14010004] [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] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/10/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024]
Abstract
Ketones are well-known biomarkers of fat oxidation produced in the liver as a result of lipolysis. These biomarkers include acetoacetic acid and β-hydroxybutyric acid in the blood/urine and acetone in our breath and skin. Monitoring ketone production in the body is essential for people who use caloric intake deficit to reduce body weight or use ketogenic diets for wellness or therapeutic treatments. Current methods to monitor ketones include urine dipsticks, capillary blood monitors, and breath analyzers. However, these existing methods have certain disadvantages that preclude them from being used more widely. In this work, we introduce a novel acetone sensor device that can detect acetone levels in breath and overcome the drawbacks of existing sensing approaches. The critical element of the device is a robust sensor with the capability to measure acetone using a complementary metal oxide semiconductor (CMOS) chip and convenient data analysis from a red, green, and blue deconvolution imaging approach. The acetone sensor device demonstrated sensitivity of detection in the micromolar-concentration range, selectivity for detection of acetone in breath, and a lifetime stability of at least one month. The sensor device utility was probed with real tests on breath samples using an established blood ketone reference method.
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Affiliation(s)
- Oscar Osorio Perez
- School of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, USA; (O.O.P.); (N.A.N.); (A.H.)
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave., Tempe, AZ 85281, USA; (S.V.); (S.J.M.); (N.Y.); (X.X.); (S.W.)
| | - Ngan Anh Nguyen
- School of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, USA; (O.O.P.); (N.A.N.); (A.H.)
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave., Tempe, AZ 85281, USA; (S.V.); (S.J.M.); (N.Y.); (X.X.); (S.W.)
| | - Asher Hendricks
- School of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, USA; (O.O.P.); (N.A.N.); (A.H.)
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave., Tempe, AZ 85281, USA; (S.V.); (S.J.M.); (N.Y.); (X.X.); (S.W.)
| | - Shaun Victor
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave., Tempe, AZ 85281, USA; (S.V.); (S.J.M.); (N.Y.); (X.X.); (S.W.)
| | - Sabrina Jimena Mora
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave., Tempe, AZ 85281, USA; (S.V.); (S.J.M.); (N.Y.); (X.X.); (S.W.)
| | - Nanxi Yu
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave., Tempe, AZ 85281, USA; (S.V.); (S.J.M.); (N.Y.); (X.X.); (S.W.)
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Xiaojun Xian
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave., Tempe, AZ 85281, USA; (S.V.); (S.J.M.); (N.Y.); (X.X.); (S.W.)
- Department of Electrical Engineering and Computer Science, South Dakota State University, Brookings, SD 57007, USA
| | - Shaopeng Wang
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave., Tempe, AZ 85281, USA; (S.V.); (S.J.M.); (N.Y.); (X.X.); (S.W.)
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA
| | | | - Erica Forzani
- School of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ 85287, USA; (O.O.P.); (N.A.N.); (A.H.)
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave., Tempe, AZ 85281, USA; (S.V.); (S.J.M.); (N.Y.); (X.X.); (S.W.)
- Mayo Clinic, Scottsdale, AZ 85289, USA;
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Zhao S, Yu N, Wang H, Wan Z, Diao C, Chen Y, Liu T, Yang Y, Gao F, Bai C, Cao K, Cai J. Long non-coding RNA PANDAR promoted radiation and cisplatin-induced DNA damage repair through ATR/CHK1 in NSCLC. J Gene Med 2023; 25:e3565. [PMID: 37460393 DOI: 10.1002/jgm.3565] [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: 03/09/2023] [Revised: 04/17/2023] [Accepted: 06/22/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND DNA-damaging agents, including radiation and platinum-based chemotherapy, are indispensable treatments for non-small cell lung cancer (NSCLC) patients. However, cancer cells tend to be resistant to both radiation and chemotherapy, thus resulting in treatment failure or recurrence. The purpose of this study was to explore the effect and mechanism of long non-coding RNA (lncRNA) PANDAR (promoter of CDKN1A antisense DNA damage-activated RNA) on NSCLC sensitivity to radiation and chemotherapy. METHODS Cell counting kit (CCK-8), colony formation and flow cytometry were respectively performed to determine the cell cycle and apoptosis of NSCLC cells treated with γ-ray radiation and cisplatin. The extent of DNA damage was evaluated using a comet assay and immunofluorescence staining against γH2AX. In addition, we explored the role of PANDAR in DNA damage response pathways through western blot analysis. Finally, a nude mouse subcutaneous xenograft model was established to assess the sensitivity to radiation and chemotherapy in vivo. RESULTS In cell experiments, PANDAR knockdown can increase the sensitivity of NSCLC cells to radiation and cisplatin. The CCK-8 results showed that cell viability was significantly increased in the overexpression group after radiation and cisplatin treatments. The overexpression group also showed more colonies, less apoptosis and DNA damage, and G2/M phase arrest was aggravated to provide the time necessary for DNA repair. Contrary to PANDAR overexpression, the trends were reversed in the PANDAR knockdown group. Furthermore, PANDAR knockdown inhibited radiation and cisplatin-activated phosphorylation levels of ATR and CHK1 in NSCLC cells. Finally, our in vivo model showed that targeting PANDAR significantly sensitized NSCLC to radiation and cisplatin. CONCLUSION Our study showed that PANDAR knockdown promoted sensitivity to radiation and cisplatin in NSCLC by regulating the ATR/CHK1 pathway, thus providing a novel understanding as well as a therapeutic target for NSCLC treatment. In NSCLC cells, lncRNA PANDAR negatively regulates sensitivity to radiation and cisplatin. PANDAR can promote the repair of radiation and cisplatin-induced DNA damage and activation of the G2/M checkpoint through the ATR/CHK1 pathway. PANDAR knockdown results in defects in DNA damage repair accompanied by more cell apoptosis.
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Affiliation(s)
- Songyun Zhao
- Department of Respiratory and Critical Care Medicine, Changhai Hospital, The First Affiliated Hospital of Naval Medical University, Shanghai, China
- Department of Respiratory and Critical Care Medicine, The Second Naval Hospital of Southern Theater Command, Sanya, China
| | - Nanxi Yu
- School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, China
| | - Hang Wang
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Zhijie Wan
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Chaoyue Diao
- Department of Rheumatology and Immunology, Changhai Hospital, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Yuanyuan Chen
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
- South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, China
| | - Tingting Liu
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Yanyong Yang
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Fu Gao
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Chong Bai
- Department of Respiratory and Critical Care Medicine, Changhai Hospital, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Kun Cao
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Jianming Cai
- School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, China
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
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Wu YC, Yu N, Rivas C, Mehrnia N, Kantarci A, Van Dyke T. RvE1 Promotes Axin2+ Cell Regeneration and Reduces Bacterial Invasion. J Dent Res 2023; 102:1478-1487. [PMID: 37837227 PMCID: PMC10767698 DOI: 10.1177/00220345231197156] [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] [Indexed: 10/15/2023] Open
Abstract
Vital pulp therapy and root canal therapy (RCT) are the dominant treatment for irreversible pulpitis. While the success rate of these procedures is favorable, they have some limitations. For instance, RCT leads to removing significant dentin in the coronal third of the tooth that increases root-fracture risk, which forces tooth removal. The ideal therapeutic goal is dental pulp regeneration, which is not achievable with RCT. Specialized proresolving mediators (SPMs) are well known for inflammatory resolution. The resolution of inflammation and tissue restoration or regeneration is a dynamic and continuous process. SPMs not only have potent immune-modulating functions but also effectively promote tissue homeostasis and regeneration. Resolvins have been shown to promote dental pulp regeneration. The purpose of this study was to explore further the cellular target of Resolvin E1 (RvE1) therapy in dental pulp regeneration and the impact of RvE1 in infected pulps. We investigated the actions of RvE1 on experimentally exposed pulps with or without microbial infection in an Axin2Cre-Dox;Ai14 genetically defined mouse model. Our results showed RvE1 promoted Axin2-tdTomato+ cell expansion and odontoblastic differentiation after direct pulp capping in the mouse, which we used to mimic reversible pulpitis cases in the clinic. In cultured mouse dental pulp stem cells (mDPSCs), RvE1 facilitated Axin2-tdTomato+ cell proliferation and odontoblastic differentiation and also rescued impaired functions after lipopolysaccharide stimulation. In infected pulps exposed to the oral environment for 24 h, RvE1 suppressed inflammatory infiltration, reduced bacterial invasion in root canals, and prevented the development of apical periodontitis, while its proregenerative impact was limited. Collectively, topical treatment with RvE1 facilitated dental pulp regenerative properties by promoting Axin2-expressing cell proliferation and differentiation. It also modulated the resolution of inflammation, reduced infection severity, and prevented apical periodontitis, presenting RvE1 as a novel therapeutic for treating endodontic diseases.
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Affiliation(s)
- Y-C. Wu
- The Forsyth Institute, Cambridge, MA, USA
- Harvard School of Dental Medicine, Boston, MA, USA
- Department of Operative Dentistry and Endodontics, School of Dentistry, Tri-Service General Hospital and National Defense Medical Center, Taipei
| | - N. Yu
- The Forsyth Institute, Cambridge, MA, USA
- Harvard School of Dental Medicine, Boston, MA, USA
| | - C.A. Rivas
- The Forsyth Institute, Cambridge, MA, USA
- Harvard School of Dental Medicine, Boston, MA, USA
| | - N. Mehrnia
- The Forsyth Institute, Cambridge, MA, USA
| | - A. Kantarci
- The Forsyth Institute, Cambridge, MA, USA
- Harvard School of Dental Medicine, Boston, MA, USA
| | - T.E. Van Dyke
- The Forsyth Institute, Cambridge, MA, USA
- Harvard School of Dental Medicine, Boston, MA, USA
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Chen XM, Yu N, Yang SM, Jiang QQ. [Research progress on lipid droplet and its role in noise-induced hearing loss]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:1050-1053. [PMID: 37840175 DOI: 10.3760/cma.j.cn115330-20230316-00118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Affiliation(s)
- X M Chen
- Senior Department of Otolaryngology-Head & Neck Surgery, Chinese PLA General Hospital; National Clinical Research Center for Otolaryngologic Diseases; National Key Laboratory for Hearing and Balance; Chinese PLA Institute of Otolaryngology; State Key Lab of Hearing Science, Ministry of Education; Beijing Key Lab of Hearing Impairment Prevention and Treatment, Beijing 100853, China Department of Otolaryngology, Navy 971 Hospital of Chinese PLA, Qingdao 266071, China
| | - N Yu
- Senior Department of Otolaryngology-Head & Neck Surgery, Chinese PLA General Hospital; National Clinical Research Center for Otolaryngologic Diseases; National Key Laboratory for Hearing and Balance; Chinese PLA Institute of Otolaryngology; State Key Lab of Hearing Science, Ministry of Education; Beijing Key Lab of Hearing Impairment Prevention and Treatment, Beijing 100853, China
| | - S M Yang
- Senior Department of Otolaryngology-Head & Neck Surgery, Chinese PLA General Hospital; National Clinical Research Center for Otolaryngologic Diseases; National Key Laboratory for Hearing and Balance; Chinese PLA Institute of Otolaryngology; State Key Lab of Hearing Science, Ministry of Education; Beijing Key Lab of Hearing Impairment Prevention and Treatment, Beijing 100853, China
| | - Q Q Jiang
- Senior Department of Otolaryngology-Head & Neck Surgery, Chinese PLA General Hospital; National Clinical Research Center for Otolaryngologic Diseases; National Key Laboratory for Hearing and Balance; Chinese PLA Institute of Otolaryngology; State Key Lab of Hearing Science, Ministry of Education; Beijing Key Lab of Hearing Impairment Prevention and Treatment, Beijing 100853, China
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Yu N, Li J, Chen X, Wang Z, Kang X, Zhang R, Qin J, Zheng Q, Feng G, Deng L, Zhang T, Wang W, Liu W, Wang J, Feng Q, Lv J, Chen D, Zhou Z, Xiao Z, Li Y, Bi N, Li Y, Wang X. Chemoradiotherapy Combined with Nab-Paclitaxel plus Cisplatin in Patients with Locally Advanced Borderline Resectable or Unresectable Esophageal Squamous Cell Carcinoma: A Phase I/II Study. Int J Radiat Oncol Biol Phys 2023; 117:e354. [PMID: 37785224 DOI: 10.1016/j.ijrobp.2023.06.2433] [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) To evaluate the efficacy and safety of nanoparticle albumin-bound paclitaxel (nab-PTX) plus cisplatin as the regimen of conversional chemoradiotherapy (cCRT) in locally advanced borderline resectable or unresectable esophageal squamous cell carcinoma (ESCC). MATERIALS/METHODS Patients with locally advanced ESCC (cT3-4, Nany, M0-1, M1 was limited to lymph node metastasis in the supraclavicular area) were enrolled. All the patients received the cCRT of nab-PTX plus cisplatin. After the cCRT, those resectable patients received esophagectomy; those unresectable patients continued to receive the definitive chemoradiotherapy (dCRT). The locoregional control (LRC), overall survival (OS), progression-free survival (PFS), distant metastasis free survival (DMFS), pathological complete response (pCR), R0 resection rate and adverse events (AEs) were calculated. RESULTS A total of 45 patients with ESCC treated from October 2019 to May 2021 were finally included. The median follow-up time was 30.3 months. The LRC, OS, EFS, DMFS at 1and 2 years were 81.5%, 86.6%, 64.3%, 73.2% and 72.4%, 68.8%, 44.8%, 52.7% respectively. 21 patients (46.7%) received conversional chemoradiotherapy plus surgery (cCRT+S). The pCR rate and R0 resection rate were 47.6% and 84.0%. The LRC rate at 1 and 2 years were 95.0%, 87.1% in cCRT+S patients and 69.3%, 58.7% in dCRT patients respectively (HR, 5.14; 95% CI, 1.10-23.94; P = 0.021). The OS rate at 1 and 2 years were 95.2% and 84.2% in resectable patients compared to 78.8% and 54.4% in unresectable patients (HR, 3.41; 95% CI, 1.10-10.61; P = 0.024). The toxicities during chemoradiotherapy were tolerated, the most common grade 3-4 toxicities were radiation esophagitis (15.6%). CONCLUSION Nab-PTX plus cisplatin were effective and safe as the regimen of conversional chemoradiotherapy of ESCC. The patients receiving conversional chemoradiotherapy plus surgery (cCRT+S) were prone to have a better survival.
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Affiliation(s)
- N Yu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Chen
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Kang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - R Zhang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Qin
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Q Zheng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - G Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - L Deng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - T Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - W Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - Q Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Lv
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - D Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Z Zhou
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - Z Xiao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - N Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Liu T, Wang H, Chen Y, Wan Z, Du Z, Shen H, Yu Y, Ma S, Xu Y, Li Z, Yu N, Zhang F, Cao K, Cai J, Zhang W, Gao F, Yang Y. SENP5 promotes homologous recombination-mediated DNA damage repair in colorectal cancer cells through H2AZ deSUMOylation. J Exp Clin Cancer Res 2023; 42:234. [PMID: 37684630 PMCID: PMC10486113 DOI: 10.1186/s13046-023-02789-9] [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: 02/10/2023] [Accepted: 08/06/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Neoadjuvant radiotherapy has been used as the standard treatment of colorectal cancer (CRC). However, radiotherapy resistance often results in treatment failure. To identify radioresistant genes will provide novel targets for combined treatments and prognostic markers. METHODS Through high content screening and tissue array from CRC patients who are resistant or sensitive to radiotherapy, we identified a potent resistant gene SUMO specific peptidase 5 (SENP5). Then, the effect of SENP5 on radiosensitivity was investigated by CCK8, clone formation, comet assay, immunofluorescence and flow cytometric analysis of apoptosis and cell cycle to investigate the effect of SENP5 on radiosensitivity. SUMO-proteomic mass spectrometry combined with co-immunoprecipitation assay were used to identify the targets of SENP5. Patient-derived organoids (PDO) and xenograft (PDX) models were used to explore the possibility of clinical application. RESULTS We identified SENP5 as a potent radioresistant gene through high content screening and CRC patients tissue array analysis. Patients with high SENP5 expression showed increased resistance to radiotherapy. In vitro and in vivo experiments demonstrated that SENP5 knockdown significantly increased radiosensitivity in CRC cells. SENP5 was further demonstrated essential for efficient DNA damage repair in homologous recombination (HR) dependent manner. Through SUMO mass spectrometry analysis, we characterized H2AZ as a deSUMOylation substrate of SENP5, and depicted the SUMOylation balance of H2AZ in HR repair and cancer resistance. By using PDO and PDX models, we found targeting SENP5 significantly increased the therapeutic efficacy of radiotherapy. CONCLUSION Our findings revealed novel role of SENP5 in HR mediated DNA damage repair and cancer resistance, which could be applied as potent prognostic marker and intervention target for cancer radiotherapy.
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Affiliation(s)
- Tingting Liu
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Hang Wang
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Yuanyuan Chen
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Zhijie Wan
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Zhipeng Du
- School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Hui Shen
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Yue Yu
- Department of Colorectal Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Shengzhe Ma
- Department of Colorectal Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Ying Xu
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Zhuqing Li
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Nanxi Yu
- School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Fangxiao Zhang
- School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Kun Cao
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Jianming Cai
- School of Public Health and Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Wei Zhang
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China.
| | - Fu Gao
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China.
| | - Yanyong Yang
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China.
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Xue TT, Wang LM, Zhao ZP, Zhang X, Li C, Huang ZJ, Gao XX, Liu CY, Yu N, Zhang YS, Deng XQ, Wang L, Zhang M. [Cardiovascular health status of Chinese adults based on "Life's Essential 8" score]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1054-1062. [PMID: 37482706 DOI: 10.3760/cma.j.cn112338-20221020-00894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: To assess the cardiovascular health status of adults in China by using the "Life's Essential 8" score, and provide reference for the development and improvement of cardiovascular disease prevention and control policies and measures. Methods: Chronic Disease and Nutrition Surveillance was conducted in 298 counties/districts in 2015 in 31 provinces (autonomous regions, municipalities) across China, multi-stage stratified cluster random sampling was used to select 45 households in each village or neighborhood, and 20 households were further selected to conduct dietary surveys. In this study, a total of 70 093 adults aged ≥20 years who completed the dietary survey and had complete information were included, their cardiovascular health status were assessed by using the "Life's Essential 8" score, a cardiovascular health scoring standard released by the American Heart Association in 2022. All results were adjusted using complex design-based sampling weights to achieve a better estimate of the population. Results: In 2015, the overall cardiovascular health score of Chinese adults aged ≥20 years was 73.3±12.6, the score was significantly higher in women (77.9±11.6) than in men (68.7±11.8), and higher in urban area (74.5±12.8) than in rural area (71.9±12.2), the differences were significant (P<0.001). It was estimated that about 0.25% (95%CI: 0.16%-0.33%) of adults in China had cardiovascular health score of 100, and 33.0% (95%CI: 31.6%-34.3%), 63.2% (95%CI: 62.1%-64.3%), and 3.9% (95%CI: 3.5%-4.2%) of adults had high, moderate and low cardiovascular health scores, respectively. The proportion of those with high cardiovascular health scores was relatively low in men, those with low education level, those with low income, those living in rural areas, and those living in southwest China (P<0.001). Of the eight factors, diet had the lowest mean score (46.0, 95%CI: 44.7-47.3), followed by blood pressure (59.4, 95%CI: 58.2-60.6) and tobacco exposure (61.4, 95%CI: 60.6-62.2). Conclusions: The cardiovascular health status of two-thirds of adult population in China needs to be improved. Diet, tobacco exposure, and blood pressure are the factors affecting the cardiovascular health of Chinese population, to which close attention needs to be paid, and men, rural residents, and those with lower socioeconomic status are key groups in cardiovascular health promotion.
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Affiliation(s)
- T T Xue
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L M Wang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z P Zhao
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - C Li
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z J Huang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X X Gao
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China School of Public Health, Baotou Medical College, Baotou 014040, China
| | - C Y Liu
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China School of Public Health, Baotou Medical College, Baotou 014040, China
| | - N Yu
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Y S Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
| | - X Q Deng
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
| | - L Wang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - M Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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9
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Abdulhamid MI, Aboona BE, Adam J, Adams JR, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Aitbaev A, Alekseev I, Anderson DM, Aparin A, Aslam S, Atchison J, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Bhagat P, Bhasin A, Bhatta S, Bordyuzhin IG, Brandenburg JD, Brandin AV, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Ceska J, Chakaberia I, Chan BK, Chang Z, Chatterjee A, Chen D, Chen J, Chen JH, Chen Z, Cheng J, Cheng Y, Choudhury S, Christie W, Chu X, Crawford HJ, Dale-Gau G, Das A, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Feng CJ, Feng Y, Finch E, Fisyak Y, Flor FA, Fu C, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Hamed A, Han Y, Harasty MD, Harris JW, Harrison-Smith H, He W, He XH, He Y, Hu C, Hu Q, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Huang Y, Humanic TJ, Isenhower D, Isshiki M, Jacobs WW, Jalotra A, Jena C, Ji Y, Jia J, Jin C, Ju X, Judd EG, Kabana S, Kabir ML, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Kimelman B, Kiselev A, Knospe AG, Ko HS, Kochenda L, Korobitsin AA, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Lacey R, Landgraf JM, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li W, Li X, Li Y, Li Y, Li Z, Liang X, Liang Y, Lin T, Liu C, Liu F, Liu H, Liu H, Liu L, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Lomicky O, Longacre RS, Loyd EM, Lu T, Lukow NS, Luo XF, Luong VB, Ma L, Ma R, Ma YG, Magdy N, Mallick D, Margetis S, Matis HS, Mazer JA, McNamara G, Mi K, Minaev NG, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mudrokh A, Nagy MI, Nain AS, Nam JD, Nasim M, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Odyniec G, Ogawa A, Oh S, Okorokov VA, Okubo K, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Pani T, Parfenov P, Paul A, Perkins C, Pokhrel BR, Posik M, Protzman T, Pruthi NK, Putschke J, Qin Z, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Ritter HG, Robertson CW, Rogachevsky OV, Rosales Aguilar MA, Roy D, Ruan L, Sahoo AK, Sahoo NR, Sako H, Salur S, Samigullin E, Sato S, Schmidke WB, Schmitz N, Seger J, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao T, Sharma M, Sharma N, Sharma R, Sharma SR, Sheikh AI, Shen DY, Shen K, Shi SS, Shi Y, Shou QY, Si F, Singh J, Singha S, Sinha P, Skoby MJ, Söhngen Y, Song Y, Srivastava B, Stanislaus TDS, Stewart DJ, Strikhanov M, Stringfellow B, Su Y, Sun C, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Tamis A, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Tlusty D, Todoroki T, Tokarev MV, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tsai OD, Tsang CY, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vasiliev AN, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang X, Wang Y, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Westfall GD, Wieman H, Wilks G, Wissink SW, Wu J, Wu J, Wu X, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Y, Xu Z, Xu Z, Yan G, Yan Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu N, Yu Y, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao F, Zhao J, Zhao M, Zhou C, Zhou J, Zhou S, Zhou Y, Zhu X, Zurek M, Zyzak M. Beam Energy Dependence of Triton Production and Yield Ratio (N_{t}×N_{p}/N_{d}^{2}) in Au+Au Collisions at RHIC. Phys Rev Lett 2023; 130:202301. [PMID: 37267557 DOI: 10.1103/physrevlett.130.202301] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/21/2023] [Accepted: 03/30/2023] [Indexed: 06/04/2023]
Abstract
We report the triton (t) production in midrapidity (|y|<0.5) Au+Au collisions at sqrt[s_{NN}]=7.7-200 GeV measured by the STAR experiment from the first phase of the beam energy scan at the Relativistic Heavy Ion Collider. The nuclear compound yield ratio (N_{t}×N_{p}/N_{d}^{2}), which is predicted to be sensitive to the fluctuation of local neutron density, is observed to decrease monotonically with increasing charged-particle multiplicity (dN_{ch}/dη) and follows a scaling behavior. The dN_{ch}/dη dependence of the yield ratio is compared to calculations from coalescence and thermal models. Enhancements in the yield ratios relative to the coalescence baseline are observed in the 0%-10% most central collisions at 19.6 and 27 GeV, with a significance of 2.3σ and 3.4σ, respectively, giving a combined significance of 4.1σ. The enhancements are not observed in peripheral collisions or model calculations without critical fluctuation, and decreases with a smaller p_{T} acceptance. The physics implications of these results on the QCD phase structure and the production mechanism of light nuclei in heavy-ion collisions are discussed.
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Affiliation(s)
- M I Abdulhamid
- American University of Cairo, New Cairo 11835, New Cairo, Egypt
| | - B E Aboona
- Texas A&M University, College Station, Texas 77843
| | - J Adam
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J R Adams
- The Ohio State University, Columbus, Ohio 43210
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Aggarwal
- Panjab University, Chandigarh 160014, India
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - A Aitbaev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
- National Research Nuclear University MEPhI, Moscow 115409
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980
| | - S Aslam
- Indian Institute Technology, Patna, Bihar 801106, India
| | - J Atchison
- Abilene Christian University, Abilene, Texas 79699
| | | | - V Bairathi
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - W Baker
- University of California, Riverside, California 92521
| | | | - K Barish
- University of California, Riverside, California 92521
| | - P Bhagat
- University of Jammu, Jammu 180001, India
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - S Bhatta
- State University of New York, Stony Brook, New York 11794
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409
| | - X Z Cai
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - J Ceska
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - I Chakaberia
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - Z Chang
- Indiana University, Bloomington, Indiana 47408
| | - A Chatterjee
- National Institute of Technology Durgapur, Durgapur - 713209, India
| | - D Chen
- University of California, Riverside, California 92521
| | - J Chen
- Shandong University, Qingdao, Shandong 266237
| | - J H Chen
- Fudan University, Shanghai, 200433
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - Y Cheng
- University of California, Los Angeles, California 90095
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Chu
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - G Dale-Gau
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Das
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Dhamija
- Panjab University, Chandigarh 160014, India
| | - L Di Carlo
- Wayne State University, Detroit, Michigan 48201
| | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Dixit
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- University of Calabria & INFN-Cosenza, Rende 87036, Italy
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - F A Flor
- Yale University, New Haven, Connecticut 06520
| | - C Fu
- Central China Normal University, Wuhan, Hubei 430079
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - N Ghimire
- Temple University, Philadelphia, Pennsylvania 19122
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - X Gou
- Shandong University, Qingdao, Shandong 266237
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - A Hamed
- American University of Cairo, New Cairo 11835, New Cairo, Egypt
| | - Y Han
- Rice University, Houston, Texas 77251
| | - M D Harasty
- University of California, Davis, California 95616
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | | | - W He
- Fudan University, Shanghai, 200433
| | - X H He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y He
- Shandong University, Qingdao, Shandong 266237
| | - C Hu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Q Hu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Hu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Huang
- National Cheng Kung University, Tainan 70101
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - T Huang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Huang
- Tsinghua University, Beijing 100084
| | - Y Huang
- Tsinghua University, Beijing 100084
| | - Y Huang
- Central China Normal University, Wuhan, Hubei 430079
| | - T J Humanic
- The Ohio State University, Columbus, Ohio 43210
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699
| | - M Isshiki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - A Jalotra
- University of Jammu, Jammu 180001, India
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - Y Ji
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - C Jin
- Rice University, Houston, Texas 77251
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - M L Kabir
- University of California, Riverside, California 92521
| | - D Kalinkin
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980
| | - M Kelsey
- Wayne State University, Detroit, Michigan 48201
| | - B Kimelman
- University of California, Davis, California 95616
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973
| | - A G Knospe
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H S Ko
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409
| | | | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409
| | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - S Kumar
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y H Leung
- University of Heidelberg, Heidelberg 69120, Germany
| | - N Lewis
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Li
- Shandong University, Qingdao, Shandong 266237
| | - W Li
- Rice University, Houston, Texas 77251
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Z Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Liang
- University of California, Riverside, California 92521
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - T Lin
- Shandong University, Qingdao, Shandong 266237
| | - C Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - H Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - L Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Liu
- Yale University, New Haven, Connecticut 06520
| | - X Liu
- The Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - O Lomicky
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - E M Loyd
- University of California, Riverside, California 92521
| | - T Lu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122
| | - X F Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - V B Luong
- Joint Institute for Nuclear Research, Dubna 141 980
| | - L Ma
- Fudan University, Shanghai, 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Fudan University, Shanghai, 200433
| | - N Magdy
- State University of New York, Stony Brook, New York 11794
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - G McNamara
- Wayne State University, Detroit, Michigan 48201
| | - K Mi
- Central China Normal University, Wuhan, Hubei 430079
| | - N G Minaev
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Yale University, New Haven, Connecticut 06520
| | - D A Morozov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Mudrokh
- Joint Institute for Nuclear Research, Dubna 141 980
| | - M I Nagy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - A S Nain
- Panjab University, Chandigarh 160014, India
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - Md Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - D Neff
- University of California, Los Angeles, California 90095
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shandong University, Qingdao, Shandong 266237
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - R Nishitani
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Sejong University, Seoul, 05006, South Korea
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409
| | - K Okubo
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Pan
- Texas A&M University, College Station, Texas 77843
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - A K Pandey
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - T Pani
- Rutgers University, Piscataway, New Jersey 08854
| | - P Parfenov
- National Research Nuclear University MEPhI, Moscow 115409
| | - A Paul
- University of California, Riverside, California 92521
| | - C Perkins
- University of California, Berkeley, California 94720
| | - B R Pokhrel
- Temple University, Philadelphia, Pennsylvania 19122
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - T Protzman
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - Z Qin
- Tsinghua University, Beijing 100084
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | - C Racz
- University of California, Riverside, California 92521
| | | | - N Raha
- Wayne State University, Detroit, Michigan 48201
| | - R L Ray
- University of Texas, Austin, Texas 78712
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | | | - D Roy
- Rutgers University, Piscataway, New Jersey 08854
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - A K Sahoo
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - N R Sahoo
- Shandong University, Qingdao, Shandong 266237
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - E Samigullin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - T Shao
- Fudan University, Shanghai, 200433
| | - M Sharma
- University of Jammu, Jammu 180001, India
| | - N Sharma
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - R Sharma
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - S R Sharma
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | | | - D Y Shen
- Fudan University, Shanghai, 200433
| | - K Shen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Shi
- Shandong University, Qingdao, Shandong 266237
| | - Q Y Shou
- Fudan University, Shanghai, 200433
| | - F Si
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - P Sinha
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - M J Skoby
- Ball State University, Muncie, Indiana, 47306
- Purdue University, West Lafayette, Indiana 47907
| | - Y Söhngen
- University of Heidelberg, Heidelberg 69120, Germany
| | - Y Song
- Yale University, New Haven, Connecticut 06520
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - D J Stewart
- Wayne State University, Detroit, Michigan 48201
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409
| | | | - Y Su
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Sun
- State University of New York, Stony Brook, New York 11794
| | - X Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | - Z W Sweger
- University of California, Davis, California 95616
| | - A Tamis
- Yale University, New Haven, Connecticut 06520
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - D Tlusty
- Creighton University, Omaha, Nebraska 68178
| | - T Todoroki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M V Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | - O D Tsai
- Brookhaven National Laboratory, Upton, New York 11973
- University of California, Los Angeles, California 90095
| | - C Y Tsang
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
- Valparaiso University, Valparaiso, Indiana 46383
| | - I Upsal
- Rice University, Houston, Texas 77251
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - A N Vasiliev
- National Research Nuclear University MEPhI, Moscow 115409
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - V Verkest
- Wayne State University, Detroit, Michigan 48201
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - G Wang
- University of California, Los Angeles, California 90095
| | - J S Wang
- Huzhou University, Huzhou, Zhejiang 313000
| | - X Wang
- Shandong University, Qingdao, Shandong 266237
| | - Y Wang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - Z Wang
- Shandong University, Qingdao, Shandong 266237
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G Wilks
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - J Wu
- Central China Normal University, Wuhan, Hubei 430079
| | - J Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - X Wu
- University of California, Los Angeles, California 90095
| | - Y Wu
- University of California, Riverside, California 92521
| | - B Xi
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- University of Chinese Academy of Sciences, Beijing, 101408
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - H Xu
- Huzhou University, Huzhou, Zhejiang 313000
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y Xu
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Xu
- University of California, Los Angeles, California 90095
| | - G Yan
- Shandong University, Qingdao, Shandong 266237
| | - Z Yan
- State University of New York, Stony Brook, New York 11794
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- South China Normal University, Guangzhou, Guangdong 510631
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Ye
- Rice University, Houston, Texas 77251
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Qingdao, Shandong 266237
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Yu
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Yu
- Shandong University, Qingdao, Shandong 266237
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Zhang
- State University of New York, Stony Brook, New York 11794
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - J Zhang
- Shandong University, Qingdao, Shandong 266237
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101
| | - Z Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Zhang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - F Zhao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Zhao
- Fudan University, Shanghai, 200433
| | - M Zhao
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Zhou
- Fudan University, Shanghai, 200433
| | - J Zhou
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - M Zurek
- Argonne National Laboratory, Argonne, Illinois 60439
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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10
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Shen H, Jin J, Wang H, Yu N, Liu T, Sheng H, Wan Z, Feng C, Huang Y, Gao F. Integrated analysis identifies microRNA-188-5p as a suppressor of AKT/mTOR pathway in renal cancer. Cancer Sci 2023. [PMID: 37199297 PMCID: PMC10394144 DOI: 10.1111/cas.15832] [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] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 03/31/2023] [Accepted: 04/14/2023] [Indexed: 05/19/2023] Open
Abstract
Many current microRNA (miRNA) expression datasets for renal cell carcinoma (RCC) often show inconsistent analysis results, so a shift to comprehensive analysis of multiple datasets can effectively accelerate molecular screening for precision medicine and translational medicine research. MicroRNA (miR)-188-5p is a clinically noteworthy miRNA whose aberrant expression was previously observed in a variety of cancers, but its role in RCC is unclear. In this study, we undertook a comprehensive analysis of four RCC miRNA expression datasets and validated the results using The Cancer Genome Atlas (TCGA) dataset and a cohort of collected clinical samples. Fifteen miRNAs were identified as potential diagnostic markers by the analysis of four RCC miRNAs datasets. Analysis of the TCGA kidney renal clear cell carcinoma dataset showed significantly shorter survival in RCC patients with reduced miR-188-5p expression levels, and our collection of RCC clinical samples showed low miR-188-5p expression in the tumors. Overexpression of miR-188-5p in Caki-1 and 786-O cells inhibited cell growth, colony formation, invasion, and migration. In contrast, miR-188-5p inhibitors reversed these cell phenotypes. We identified a binding site for miR-188-5p in the 3'-UTR region of myristoylated alanine-rich C-kinase substrate (MARCKS) mRNA and demonstrated an interaction between these two molecules. Quantitative RT-PCR and western blot analysis revealed that miR-188-5p could regulate the AKT/mTOR signaling pathway through MARCKS. Mouse transplantation tumor assay indicated that miR-188-5p reduced the tumorigenicity of RCC in vivo. MicroRNA-188-5p could be a valuable new molecule for RCC diagnosis and prognosis.
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Affiliation(s)
- Hui Shen
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
- Department of Central Laboratory, The First Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Jing Jin
- Department of Occupational and Environment Health, Xiangya School of Public Health, Central South University, Changsha, China
| | - Hang Wang
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Nanxi Yu
- School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, China
| | - Tingting Liu
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Han Sheng
- Department of Central Laboratory, The First Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Zhijie Wan
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Chao Feng
- Institutes for Translational Medicine, State Key Laboratory of Radiation Medicine and Protection, Medical College of Soochow University, Suzhou, China
- Department of Experimental Medicine and Biochemical Sciences, TOR, University of Rome Tor Vergata, Rome, Italy
| | - Yijuan Huang
- Department of Central Laboratory, The First Affiliated Hospital of Jiaxing University, Jiaxing, China
| | - Fu Gao
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
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11
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Yu N, Qin H, Zhang F, Liu T, Cao K, Yang Y, Chen Y, Cai J. The role and mechanism of long non-coding RNAs in homologous recombination repair of radiation-induced DNA damage. J Gene Med 2023; 25:e3470. [PMID: 36537017 DOI: 10.1002/jgm.3470] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/29/2022] [Accepted: 12/04/2022] [Indexed: 12/24/2022] Open
Abstract
DNA double-strand breaks can seriously damage the genetic information that organisms depend on for survival and reproduction. Therefore, cells require a robust DNA damage response mechanism to repair the damaged DNA. Homologous recombination (HR) allows error-free repair, which is key to maintaining genomic integrity. Long non-coding RNAs (lncRNAs) are RNA molecules that are longer than 200 nucleotides. In recent years, a number of studies have found that lncRNAs can act as regulators of gene expression and DNA damage response mechanisms, including HR repair. Moreover, they have significant effects on the occurrence, development, invasion and metastasis of tumor cells, as well as the sensitivity of tumors to radiotherapy and chemotherapy. These studies have therefore begun to expose the great potential of lncRNAs for clinical applications. In this review, we focus on the regulatory roles of lncRNAs in HR repair.
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Affiliation(s)
- Nanxi Yu
- School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, China.,South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, China
| | - Hongran Qin
- Department of Nuclear Radiation, Shanghai Pulmonary Hospital,School of Medicine, Tongji University, Shanghai, China
| | - Fangxiao Zhang
- School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, China
| | - Tingting Liu
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Kun Cao
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Yanyong Yang
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Yuanyuan Chen
- South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, China.,Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China
| | - Jianming Cai
- School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, China.,South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, China
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12
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Du Z, Zhang F, Liu L, Shen H, Liu T, Jin J, Yu N, Wan Z, Wang H, Hu X, Chen Y, Cai J. LncRNA ANRIL promotes HR repair through regulating PARP1 expression by sponging miR-7-5p in lung cancer. BMC Cancer 2023; 23:130. [PMID: 36755223 PMCID: PMC9906921 DOI: 10.1186/s12885-023-10593-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 01/31/2023] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND Radiotherapy is an important treatment for lung cancer, mainly by triggering DNA double-strand breaks to induce cell death. Blocking DNA damage repair can increase the radiosensitivity of tumor cells. Recent studies have identified long noncoding RNAs as key regulators in DNA damage repair. The lncRNA ANRIL was previously shown to be involved in homologous recombination (HR) repair, but its specific mechanism has not been fully elucidated. METHODS The downstream interacting miRNAs of ANRIL were predicted according to miRanda software. Fluorescence quantitative PCR was used to detect the expression levels of ANRIL and candidate miRNAs. Clone formation experiment and cell viability assays detect cell viability after ionizing radiation. Apoptosis assay was used to detect the apoptosis of cells after 8 h of ionizing radiation. Western blot analysis and immunofluorescence assays verified the protein expression levels of the downstream target molecule PARP1 of miR-7-5p and key molecules in the HR pathway. Fluorescent reporter gene experiments were used to verify the interaction between ANRIL and miR-7-5p and between miR-7-5p and PARP1. RESULTS Bioinformatics analysis and qPCR validation suggested that miR-7-5p might be a downstream molecule of ANRIL. The expression of miR-7-5p was up-regulated after knockdown of ANRIL, and the expression of miR-7-5p was down-regulated after overexpression of ANRIL. Meanwhile, there was a negative correlation between ANRIL and miR-7-5p expression changes before and after ionizing radiation. The luciferase reporter gene assay confirmed the existence of ANRIL binding site with miR-7-5p, and found that transfection of miR-7-5p inhibitor can reduce the radiation sensitivity of ANRIL-KD cells. A downstream target molecule of miR-7-5p related to HR repair, PARP1, was screened through website prediction. Subsequently, it was confirmed by Western blot and luciferase reporter assays that miR-7-5p could down-regulate the expression of PARP1, and there was a miR-7-5p binding site on the 3'UTR of PARP1 mRNA. This suggests that ANRIL may act as a competitive endogenous RNA to bind miR-7-5p and upregulate the expression of PARP1. Western blot and immunofluorescence staining were used to detect the expression changes of HR repair factors in ANRIL-KD cells after ionizing radiation, and it was found that knockdown of ANRIL can inhibit the expression of PARP1, BRCA1 and Rad51, hinder radiation-induced HR repair, and eventually result in resensitizing ANRIL-KD cells to ionizing radiation. CONCLUSIONS Our findings provide evidence that ANRIL targets the miR-7-5p/PARP1 axis to exert its regulatory effect on HR repair, suggesting that altering ANRIL expression may be a promising strategy to overcome radiation resistance.
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Affiliation(s)
- Zhipeng Du
- grid.268099.c0000 0001 0348 3990School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, Zhejiang P. R. China
| | - Fangxiao Zhang
- grid.268099.c0000 0001 0348 3990School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, Zhejiang P. R. China
| | - Lei Liu
- grid.417279.eDepartment of Oncology, General Hospital of Central Theater Command of Chinese People’s Liberation Army, Wuhan, Hubei P. R. China
| | - Hui Shen
- grid.73113.370000 0004 0369 1660Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, P. R. China
| | - Tingting Liu
- grid.73113.370000 0004 0369 1660Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, P. R. China
| | - Jing Jin
- grid.216417.70000 0001 0379 7164Department of Occupational and Environment Health, Xiangya School of Public Health, Central South University, Changsha, Hunan P. R. China
| | - Nanxi Yu
- grid.268099.c0000 0001 0348 3990School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, Zhejiang P. R. China
| | - Zhijie Wan
- grid.73113.370000 0004 0369 1660Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, P. R. China
| | - Hang Wang
- grid.73113.370000 0004 0369 1660Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, P. R. China
| | - Xuguang Hu
- Department of Gastrointestinal Surgery, Changhai Hospital, Shanghai, P. R. China.
| | - Yuanyuan Chen
- Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, P. R. China. .,South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou, Zhejiang, P. R. China.
| | - Jianming Cai
- School of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, Zhejiang, P. R. China. .,Department of Oncology, General Hospital of Central Theater Command of Chinese People's Liberation Army, Wuhan, Hubei, P. R. China. .,Department of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, P. R. China.
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13
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Zhang J, Sun L, Withanage M, Ganesan S, Williamson M, Marchesan J, Jiao Y, Teles F, Yu N, Liu Y, Wu D, Moss K, Mangalam A, Zeng E, Lei Y, Zhang S. TRAF3IP2-IL-17 Axis Strengthens the Gingival Defense against Pathogens. J Dent Res 2023; 102:103-115. [PMID: 36281065 PMCID: PMC9780753 DOI: 10.1177/00220345221123256] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Recent genome-wide association studies have suggested novel risk loci associated with periodontitis, which is initiated by dysbiosis in subgingival plaque and leads to destruction of teeth-supporting structures. One such genetic locus was the tumor necrosis factor receptor-associated factor 3 interacting protein 2 (TRAF3IP2), a gene encoding the gate-keeping interleukin (IL)-17 receptor adaptor. In this study, we first determined that carriers of the lead exonic variant rs13190932 within the TRAF3IP2 locus combined with a high plaque microbial burden was associated with more severe periodontitis than noncarriers. We then demonstrated that TRAF3IP2 is essential in the IL-17-mediated CCL2 and IL-8 chemokine production in primary gingival epithelial cells. Further analysis suggested that rs13190932 may serve a surrogate variant for a genuine loss-of-function variant rs33980500 within the same gene. Traf3ip2 null mice (Traf3ip2-/-) were more susceptible than wild-type (WT) mice to the Porphyromonas gingivalis-induced periodontal alveolar bone loss. Such bone loss was associated with a delayed P. gingivalis clearance and an attenuated neutrophil recruitment in the gingiva of Traf3ip2-/- mice. Transcriptomic data showed decreased expression of antimicrobial genes, including Lcn2, S100a8, and Defb1, in the Traf3ip2-/- mouse gingiva in comparison to WT mice prior to or upon P. gingivalis oral challenge. Further 16S ribosomal RNA sequencing analysis identified a distinct microbial community in the Traf3ip2-/- mouse oral plaque, which was featured by a reduced microbial diversity and an overabundance of Streptococcus genus bacteria. More P. gingivalis was observed in the Traf3ip2-/- mouse gingiva than WT control animals in a ligature-promoted P. gingivalis invasion model. In agreement, neutrophil depletion resulted in more local gingival tissue invasion by P. gingivalis. Thus, we identified a homeostatic IL-17-TRAF3IP2-neutrophil axis underpinning host defense against a keystone periodontal pathogen.
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Affiliation(s)
- J. Zhang
- Iowa Institute of Oral Health Research, University of Iowa College of Dentistry, Iowa City, IA, USA,Periodontics, University of Iowa College of Dentistry, Iowa City, IA, USA,S. Zhang, Iowa Institute of Oral Health Research, Periodontics Department, University of Iowa College of Dentistry, Room 401 Dental Science Building, 801 Newton Road, Iowa City, IA 52242, USA.
| | - L. Sun
- Department of Microbiology & Immunology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Lineberger Comprehensive Cancer Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - M.H.H. Withanage
- Division of Biostatistics and Computational Biology, University of Iowa College of Dentistry, Iowa City, IA, USA
| | - S.M. Ganesan
- Iowa Institute of Oral Health Research, University of Iowa College of Dentistry, Iowa City, IA, USA,Periodontics, University of Iowa College of Dentistry, Iowa City, IA, USA
| | - M.A. Williamson
- Iowa Institute of Oral Health Research, University of Iowa College of Dentistry, Iowa City, IA, USA,Periodontics, University of Iowa College of Dentistry, Iowa City, IA, USA
| | - J.T. Marchesan
- Department of Periodontology, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Y. Jiao
- Department of Periodontology, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - F.R. Teles
- Department of Basic & Translational Sciences, University of Pennsylvania School of Dental Medicine, Philadelphia, PA, USA
| | - N. Yu
- The Forsyth Institute, Cambridge, MA, USA
| | - Y. Liu
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - D. Wu
- Department of Periodontology, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA,Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - K.L. Moss
- Department of Periodontology, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - A.K. Mangalam
- Department of Pathology, University of Iowa College of Medicine, Iowa City, IA, USA
| | - E. Zeng
- Division of Biostatistics and Computational Biology, University of Iowa College of Dentistry, Iowa City, IA, USA
| | - Y.L. Lei
- Department of Periodontics & Oral Medicine, University of Michigan School of Dentistry, Ann Harbor, MI, USA
| | - S. Zhang
- Iowa Institute of Oral Health Research, University of Iowa College of Dentistry, Iowa City, IA, USA,Periodontics, University of Iowa College of Dentistry, Iowa City, IA, USA
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14
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Yu N, Wan Y, Zuo L, Cao Y, Qu D, Liu W, Deng L, Zhang T, Wang W, Wang J, Feng Q, Zhou Z, Xiao Z, BI N, Niu T, Wang X. MRI and CT Radiomics Features to Predict Overall Survival of Locally Advanced Esophageal Cancer after Definite Chemoradiotherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1051] [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: 10/31/2022]
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15
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Deng XQ, Zhang M, Zhang X, Zhao ZP, Li C, Huang ZJ, Song ZW, Jiang B, Guo XH, Yu N, Wang LM. [Blood glucose levels and the relationship of body mass index and circumference with blood glucose in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1178-1188. [PMID: 35981978 DOI: 10.3760/cma.j.cn112338-20211011-00782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To describe and compare blood glucose levels in adults aged 18 years old and above in China and explore the relationship between BMI and waist circumference with blood glucose. Methods: China Chronic Disease and Risk Factor Surveillance were conducted in 298 counties/districts in China in 2018, covering 31 provinces (autonomous regions, municipalities). A multi-stage stratified cluster random sampling method selected permanent residents aged 18 years and above. Information on demographics, behavior-related risk factors, BMI, waist circumference, and blood glucose were collected through a face-to-face questionnaire, physical measurement, and laboratory examination. After complex weighting of data, they described the blood glucose levels of people with different characteristics and explored the relationship of BMI and waist circumference with blood glucose by multiple linear regression model analysis. Results: A total of 177 816 adults were included in the study. The average fasting blood glucose and average glycosylated hemoglobin were (5.73±1.46) mmol/L and (5.37±0.83) %, with people aged 60 years old and above group highest than that of other, with males higher than females (P<0.001); and urban was higher slightly than rural for the average of average glycosylated hemoglobin (P<0.001). The average fasting blood glucose and average glycosylated hemoglobin increased with increased BMI and waist circumference (P<0.001). Results from multiple linear regression model analysis showed that: 1) for each increase in BMI unit and waist circumference, the fasting glucose levels increased by 0.019 mmol/L and 0.008 mmol/L (all P<0.001) in those not diagnosed with diabetes, 2) by 0.021 mmol/L (P=0.163) and 0.014 mmol/L (P=0.004) in those newly detected as diabetes, and 3) by 0.028 mmol/L (P=0.088) and 0.023 mmol/L (P<0.001) in those self-reported as having been diagnosed as diabetes, respectively. However, glycosylated hemoglobin levels increased: 1) by 0.015% and 0.006% in those not diagnosed as diabetes (all P<0.001), 2) by 0.050% and 0.019% in those newly detected as diabetes (all P<0.001), and 3) by 0.033% and 0.019% in those self-reported as having been diagnosed as diabetes (all P<0.001), respectively. These associations with waist circumference were more robust than with BMI. Conclusions: Adults not diagnosed with diabetes with abnormal BMI or waist circumference are the key population for prevention and control. Measures improving the awareness rate of waist circumference should be taken to maintain average blood glucose in various groups.
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Affiliation(s)
- X Q Deng
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
| | - M Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z P Zhao
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - C Li
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z J Huang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z W Song
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - B Jiang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X H Guo
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - N Yu
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L M Wang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
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16
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Yu N, Zhang M, Zhang X, Zhao ZP, Li C, Huang ZJ, Zhang YS, Deng XQ, Song ZW, Wang LM. [Blood glucose measurement in Chinese adults, 2018]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1196-1204. [PMID: 35981980 DOI: 10.3760/cma.j.cn112338-20211015-00798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To analyze the status of measuring the blood glucose among Chinese residents aged 18 years and above and to provide a scientific basis for evaluating the Healthy China Initiative. Methods: China Chronic Disease and Risk Factor Surveillance were conducted in 298 counties/districts in China in 2018, covering 31 provinces (autonomous regions, municipalities). A multi-stage stratified cluster random sampling method selected permanent residents aged 18 years and above. Questionnaires collected demographic characteristics, blood glucose measurements, and significant chronic disease prevalence. Body measurements were conducted to collect body height, weight, and waist circumference; Fasting venous blood was collected from participants to measure FPG before OGTT-2 h was obtained among participants without a self-reported history of diagnosed diabetes. The analysis included 177 904 residents aged 18 and above. After being weighed, the blood glucose measurement rates of adults in different groups were compared. Results: Among adults who had not been diagnosed with diabetes, The blood glucose measurement rates of regular, prediabetes, and newly detected elevated blood glucose within 12 months were 32.0% (95%CI: 30.5%-33.5%), 39.5% (95%CI: 37.4%-41.6%) and 43.8% (95%CI: 41.0%-46.4%), respectively. The measurement rates were higher in females than males; urban was higher than rural. The blood glucose rates increased with age, education, and BMI. These differences were significant (P<0.05). Among the adults with diabetes, the blood glucose measurement rate within six months was 89.6% (95%CI: 88.4%-90.8%); the measurement rate was higher in females than in males and higher in the west than in east and central regions of China, with statistical significance (P<0.05). Among adults in the study who did not have 1 or 2 or ≥3 major chronic diseases, the blood glucose measurement rates within six months were 19.6% (95%CI: 18.4%-20.7%), 41.8% (95%CI: 40.1%-43.5%), 58.9% (95%CI:57.0%-60.7%),71.9% (95%CI: 69.0%-74.9%), respectively. The blood glucose measurement rate was on the rise and increased with the number of comorbidities (P<0.001). The blood glucose measurement rate of adults who did not have 1 or 2 major chronic diseases was higher in urban areas than in rural areas. The blood glucose rates increased with age, education, and BMI and the differences were significant (P<0.05). The blood glucose measurement rate of adults with ≥3 major chronic diseases was higher in females than in males (P<0.001), and there was no difference among other groups (P>0.05). Conclusion: It is necessary to promote blood glucose measurement in residents aged 18 years and above in China. Relevant departments should strengthen the publicity and education to promote regular blood glucose measurement for high-risk populations to improve the efficiency of preventing and treating diabetes and its complications.
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Affiliation(s)
- N Yu
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - M Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z P Zhao
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - C Li
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z J Huang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Y S Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
| | - X Q Deng
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
| | - Z W Song
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L M Wang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
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17
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Gao XX, Wang LM, Zhang X, Zhao ZP, Li C, Huang ZJ, Liu CY, Yu N, Zhang YS, Deng XQ, Zhang M. [Awareness and influencing factors on weight and waist circumference among adult Chinese residents in 2018]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1205-1214. [PMID: 35981981 DOI: 10.3760/cma.j.cn112338-20211129-00924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To understand the awareness of weight and waist circumference and their influencing factors among residents aged ≥18 years in China and provide a reference for the development of relevant prevention and treatment policies and evaluation of intervention effects. Methods: We selected 298 counties (districts) from the 31 provinces (autonomous regions and municipalities) which participated in the 2018 China Chronic Disease and Risk Factor Surveillance program and included 194 779 permanent residents aged ≥18 years. To obtain the demographic characteristics of the study population, we used a multi-stage stratified whole-group random sampling method, questionnaires, and physical measurements. In this study, 179 045 people who completed the survey and had complete information on weight and waist circumference awareness were used as the study subjects. The weight awareness rate and waist circumference awareness rate were calculated by gender stratification, age, urban-rural, and education level groups. A multi-factor logistic regression model was used to analyze the influencing factors related to weight and waist circumference awareness of residents aged ≥18 years. Results: The weight awareness rate of adult residents in China in 2018 was 45.4% (95%CI: 41.9%-48.9%), higher among men [46.2% (95%CI: 42.5%-49.8%)] than women [44.6% (95%CI: 41.1%-48.2%)], and in urban areas [54.3% (95%CI: 49.3%-59.3%)]. The highest weight awareness rate appeared in residents with low BMI grouping [49.9% (95%CI: 44.3%-55.6%)], and the weight awareness rate in residents with undiagnosed central obesity, hypertension, and diabetes was higher than that of residents with diagnosed diabetes, with statistically significant differences (P<0.05). The waist circumference awareness rate of adult residents was 11.6% (95%CI: 9.7%-13.4%), higher in women [12.8% (95%CI: 10.8%-14.8%)] than in men [10.3% (95%CI: 8.6%-12.0%)], higher in urban [14.6% (95%CI: 11.7%-17.4%)] than in rural [8.3% (95%CI: 6.5%-10.2%)], and the waist circumference awareness rate was higher among residents with confirmed diabetes than those with undiagnosed diabetes, with statistically significant differences (P=0.020). The difference was statistically significant (P<0.001). The weight and waist circumference awareness rate increased with education level and annual per capita household income. Multi-factor logistic regression analysis suggested that urban, highly educated, high per capita annual household income and health check-up residents may have higher weight and waist circumference awareness rates among adult residents in China. Conclusion: Less than half of the adult residents in China know their weight status, and only about one-tenth know their waist circumference. Rural residents, those with low education levels and low annual per capita household income, and those who are obese need to be given prioritized attention. The relevant government departments should strengthen the popularization of the importance of weight and waist circumference on health and improve the awareness of our residents about their waist circumference and weight.
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Affiliation(s)
- X X Gao
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China School of Public Health, Baotou Medical College, Baotou 014040, China
| | - L M Wang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
| | - X Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z P Zhao
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - C Li
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z J Huang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - C Y Liu
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China School of Public Health, Baotou Medical College, Baotou 014040, China
| | - N Yu
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Y S Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
| | - X Q Deng
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
| | - M Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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18
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Zhang YS, Zhang M, Huang ZJ, Li C, Zhao ZP, Zhang X, Jiang B, Gao XX, Yu N, Song ZW, Wang LM. [Analysis of blood pressure measurement among Chinese adults in 2018]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1189-1195. [PMID: 35981979 DOI: 10.3760/cma.j.cn112338-20211017-00802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To analyze the blood pressure measurement of Chinese adult residents in 2018 and provide a scientific basis for early detection and intervention of hypertension. Methods: In 2018, China Chronic Disease and Risk Factor Surveillance were conducted in 298 counties (districts) of 31 provinces (autonomous regions, municipalities) across the country, using a multi-stage stratified cluster random sampling method to survey permanent residents aged 18 years and above. We selected 184 509 people and carried out a face-to-face questionnaire survey and body measurement method to collect demographic data, major chronic diseases, and blood pressure measurement information of the survey subjects. Blood glucose and blood lipid-related indicators were obtained by laboratory testing. There were 170 551 adult residents included in the study after excluding abnormal and missing data for key variables. After complex weighting, blood pressure detection rates and detection times in people with different blood pressure levels and other diseases were analyzed. SAS 9.4 software was used to perform the χ2-test and trend test. Results: Among adult residents in China, the proportions of those with normal blood pressure, commonly recognized 'high' blood pressure, and newly detected hypertension who had their blood pressure tested within three months were 44.4%, 50.4%, and 52.6%, respectively. The proportions all appeared higher in women than in men (all P<0.05), in urban than in rural areas (all P<0.05), and showed an increasing trend with age (all P<0.001); The proportion of these three populations who had never had their blood pressure measured was 27.6%, 24.2%, and 23.5% respectively. The proportion of people with diagnosed hypertension who had their blood pressure tested within seven days was 44.0%, 51.4% in urban areas, higher than 37.7% in rural areas (P<0.001), and the proportion of people who had their blood pressure tested increased with education, per capita annual income and BMI (all P<0.001). Conclusions: The behavior of regular self-monitoring of blood pressure among adult residents in China still needs to be improved, especially among men and rural areas. Relevant health promotion and education should be strengthened. More targeted policies and measures should be developed to improve blood pressure measurement behavior in people with normal high blood pressure and other high-risk groups to control elevated blood pressure effectively.
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Affiliation(s)
- Y S Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
| | - M Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z J Huang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - C Li
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z P Zhao
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X Zhang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - B Jiang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X X Gao
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China School of Public Health, Baotou Medical College, Baotou 014040, China
| | - N Yu
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z W Song
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L M Wang
- Division of Chronic Disease and Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China Department of Health Statistics, School of Public Health, China Medical University, Shenyang 110122, China
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Dang S, Guo Y, Han D, Ma G, Yu N, Yang Q, Duan X, Duan H, Ren J. MRI-based radiomics analysis in differentiating solid non-small-cell from small-cell lung carcinoma: a pilot study. Clin Radiol 2022; 77:e749-e757. [PMID: 35817610 DOI: 10.1016/j.crad.2022.06.006] [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: 12/13/2021] [Revised: 04/29/2022] [Accepted: 06/01/2022] [Indexed: 12/24/2022]
Abstract
AIM To investigate the ability of a T2-weighted (W) magnetic resonance imaging (MRI)-based radiomics signature to differentiate solid non-small-cell lung carcinoma (NSCLC) from small-cell lung carcinoma (SCLC). MATERIALS AND METHODS The present retrospective study enrolled 152 eligible patients (NSCLC = 125, SCLC = 27). All patients underwent MRI using a 3 T scanner and radiomics features were extracted from T2W MRI. The least absolute shrinkage and selection operator (LASSO) logistic regression model was used to identify the optimal radiomics features for the construction of a radiomics model to differentiate solid NSCLC from SCLC. Threefold cross validation repeated 10 times was used for model training and evaluation. The conventional MRI morphology features of the lesions were also evaluated. The performance of the conventional MRI morphological features, and the radiomics signature model and nomogram model (combining radiomics signature with conventional MRI morphological features) was evaluated using receiver operating characteristic (ROC) curve analysis. RESULTS Five optimal features were chosen to build a radiomics signature. There was no significant difference in age, gender, and the largest diameter. The radiomics signature and conventional MRI morphological features (only pleural indentation and lymph node enlargement) were independent predictive factors for differentiating solid NSCLC from SCLC. The area under the ROC curves (AUCs) for MRI morphological features, and the radiomics model, and nomogram model was 0.69, 0.85, and 0.90 (ROC), respectively. CONCLUSIONS The T2W MRI-based radiomics signature is a potential non-invasive approach for distinguishing solid NSCLC from SCLC.
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Affiliation(s)
- S Dang
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Y Guo
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - D Han
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - G Ma
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - N Yu
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China; Shaanxi University of Chinese Medicine, Xianyang, China
| | - Q Yang
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - X Duan
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, China
| | - H Duan
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China; Shaanxi University of Chinese Medicine, Xianyang, China.
| | - J Ren
- GE Healthcare China, Daxing District, Beijing, China
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20
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Yao B, Yang Y, Yu N, Tao N, Wang D, Wang S, Zhang F. Label-Free Quantification of Molecular Interaction in Live Red Blood Cells by Tracking Nanometer Scale Membrane Fluctuations. Small 2022; 18:e2201623. [PMID: 35717672 PMCID: PMC9283308 DOI: 10.1002/smll.202201623] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/17/2022] [Indexed: 06/15/2023]
Abstract
Molecular interactions in live cells play an important role in both cellular functions and drug discovery. Current methods for measuring binding kinetics involve extracting the membrane protein and labeling, while the in situ quantification of molecular interaction with surface plasmon resonance (SPR) imaging mainly worked with fixed cells due to the micro-motion related noises of live cells. Here, an optical imaging method is presented to measure the molecular interaction with live red blood cells by tracking the nanometer membrane fluctuations. The membrane fluctuation dynamics are measured by tracking the membrane displacement during glycoprotein interaction. The data are analyzed with a thermodynamic model to determine the elastic properties of the cell observing reduced membrane fluctuations under fixatives, indicating cell fixations affect membrane mechanical properties. The binding kinetics of glycoprotein to several lectins are obtained by tracking the membrane fluctuation amplitude changes on single live cells. The binding kinetics and strength of different lectins are quite different, indicating the glycoproteins expression heterogeneity in single cells. It is anticipated that the method will contribute to the understanding of mechanisms of cell interaction and communication, and have potential applications in the mechanical assessment of cancer or other diseases at the single-cell level, and screening of membrane protein targeting drugs.
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Affiliation(s)
- Bo Yao
- Department of Chemistry, Zhejiang University, Hangzhou, 310058, PR China
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Yunze Yang
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
| | - Nanxi Yu
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - Nongjian Tao
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
- School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA
| | - Di Wang
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
- Intelligent Perception Research Institute, Zhejiang Laboratory, Hangzhou 311100, PR China
| | - Shaopeng Wang
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA
| | - Fenni Zhang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, PR China
- Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA
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Kolbe S, Garcia L, Yu N, Boonstra F, Clough M, Sinclair B, White O, van der Walt A, Butzkueven H, Fielding J, Law M. Lesion Volume in Relapsing Multiple Sclerosis is Associated with Perivascular Space Enlargement at the Level of the Basal Ganglia. AJNR Am J Neuroradiol 2022; 43:238-244. [PMID: 35121585 PMCID: PMC8985682 DOI: 10.3174/ajnr.a7398] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 10/19/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND PURPOSE Perivascular spaces surround the blood vessels of the brain and are involved in neuroimmune functions and clearance of metabolites via the glymphatic system of the brain. Enlarged perivascular spaces could be a marker of dysfunction in these processes and, therefore, are highly relevant to monitoring disease activity in MS. This study aimed to compare the number of enlarged perivascular spaces in people with relapsing MS with MR imaging markers of inflammation and brain atrophy. MATERIALS AND METHODS Fifty-nine patients (18 with clinically isolated syndrome, 22 with early and 19 with late relapsing-remitting MS) were scanned longitudinally (mean follow-up duration = 19.6 [SD, 0.5] months) using T2-weighted, T1-weighted, and FLAIR MR imaging. Two expert raters identified and counted enlarged perivascular spaces on T2-weighted MR images from 3 ROIs (the centrum semiovale, basal ganglia, and midbrain). Baseline and change with time in the number of enlarged perivascular spaces were correlated with demographics and lesion and brain volumes. RESULTS Late relapsing-remitting MS had a greater average number of enlarged perivascular spaces at baseline at the level of the basal ganglia (72.3) compared with early relapsing-remitting MS (60.5) and clinically isolated syndrome (54.7) (F = 3.4, P = .042), and this finding correlated with lesion volume (R = 0.44, P = .0004) but not brain atrophy (R = -0.16). Enlarged perivascular spaces increased in number with time in all regions, and the rate of increase did not differ among clinical groups. CONCLUSIONS Enlarged perivascular spaces at the level of the basal ganglia are associated with greater neuroinflammatory burden, and the rate of enlargement appears constant in patients with relapsing-remitting disease phenotypes.
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Affiliation(s)
- S.C. Kolbe
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia,Departments of Radiology (S.C.K., M.L.)
| | - L.M. Garcia
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia
| | - N. Yu
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia,Department of Neurology (N.Y.), The Nanjing Brain Hospital Affiliated with Nanjing Medical University, Nanjing, Jiangsu, China
| | - F.M. Boonstra
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia
| | - M. Clough
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia
| | - B. Sinclair
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia
| | - O. White
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia,Neurology (O.W., A.v.d.W., H.B.), Alfred Hospital, Melbourne, Victoria, Australia
| | - A. van der Walt
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia,Neurology (O.W., A.v.d.W., H.B.), Alfred Hospital, Melbourne, Victoria, Australia
| | - H. Butzkueven
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia,Neurology (O.W., A.v.d.W., H.B.), Alfred Hospital, Melbourne, Victoria, Australia
| | - J. Fielding
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia
| | - M. Law
- From the Department of Neuroscience (S.C.K., L.M.G., N.Y., F.M.B., M.C., B.S., O.W., A.v.d.W., H.B., J.F., M.L.) Monash University, Melbourne, Victoria, Australia,Departments of Radiology (S.C.K., M.L.)
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22
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Zou SH, Fu XM, Yu N, Tan FB, Shu TT, Li Y, Ji P, Zhang FG. [Simultaneous reconstruction of the mandible and restoration of implant supported dentition: a case report of jaw in a day in China]. Zhonghua Kou Qiang Yi Xue Za Zhi 2021; 56:1267-1270. [PMID: 34915663 DOI: 10.3760/cma.j.cn112144-20210617-00296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- S H Zou
- Department of Oral and Maxillofacial Surgery, Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - X M Fu
- Department of Prosthodontics, Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - N Yu
- Department of Prosthodontics Technology, Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - F B Tan
- Department of Prosthodontics Technology, Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - T T Shu
- Department of Prosthodontics Technology, Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - Y Li
- Department of Oral and Maxillofacial Surgery, Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - P Ji
- Department of Oral and Maxillofacial Surgery, Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - F G Zhang
- Department of Oral and Maxillofacial Surgery, Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
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23
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Chen XQ, Zheng DY, Xiao YY, Dong BL, Cao CW, Ma L, Tong ZS, Zhu M, Liu ZH, Xi LY, Fu M, Jin Y, Yin B, Li FQ, Li XF, Abliz P, Liu HF, Zhang Y, Yu N, Wu WW, Xiong XC, Zeng JS, Huang HQ, Jiang YP, Chen GZ, Pan WH, Sang H, Wang Y, Guo Y, Shi DM, Yang JX, Chen W, Wan Z, Li RY, Wang AP, Ran YP, Yu J. Aetiology of tinea capitis in China: A multicentre prospective study. Br J Dermatol 2021; 186:705-712. [PMID: 34741300 DOI: 10.1111/bjd.20875] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/30/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Tinea capitis is still common in developing countries, such as China. Its pathogen spectrum varies across regions and changes over time. OBJECTIVES This study aimed to clarify the current epidemiological characteristics and pathogen spectrum of tinea capitis in China. METHODS A multicentre, prospective descriptive study involving 29 tertiary hospitals in China was conducted. From August 2019 to July 2020, 611 patients with tinea capitis were enrolled. Data concerning demography, risk factors and fungal tests were collected. The pathogens were further identified by morphology or molecular sequencing when necessary in the central laboratory. RESULTS Among all enrolled patients, 74.1% of the cases were 2- to 8-year-olds. The children with tinea capitis were mainly boys (56.2%) and more likely to have an animal contact history (57.4% vs. 35.3%, P = 0.012) and zoophilic dermatophyte infection (73.5%). The adults were mainly females (83.3%) and more likely to have anthropophilic agent infection (53.5%). The most common pathogen was zoophilic Microsporum canis (354, 65.2%), followed by anthropophilic Trichophyton violaceum (74, 13.6%). In contrast to the eastern, western and northeastern regions where zoophilic M. canis predominated, anthropophilic T. violaceum predominated in central China (69.2%, P < 0.0001), where the patients had the most tinea at other sites (20.3%) and dermatophytosis contact (25.9%) with the least animal contact (38.8%). Microsporum ferrugineum was the most common anthropophilic agent in the western area, especially in Xinjiang Province. CONCLUSIONS Boys aged approximately 5 years were mainly affected. Dermatologists are advised to pay more attention to the different transmission routes and pathogen spectra in different age groups from different regions.
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Affiliation(s)
- X-Q Chen
- Department of Dermatology and Venereology, Peking University First Hospital, National Clinical Research Centre for Skin and Immune Diseases, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - D-Y Zheng
- Department of Dermatology and Venereology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Y-Y Xiao
- Department of Dermatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - B-L Dong
- Department of Dermatology, Wuhan No.1 Hospital, Wuhan, China
| | - C-W Cao
- Department of Dermatology and Venereology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - L Ma
- Department of Dermatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Z-S Tong
- Department of Dermatology, Wuhan No.1 Hospital, Wuhan, China
| | - M Zhu
- Department of Dermatology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Z-H Liu
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - L-Y Xi
- Department of Dermatology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - M Fu
- Department of Dermatology, Xijing Hospital, Xi'an, China
| | - Y Jin
- Department of Dermatology, Dermatology Hospital of Jiangxi Province, Nanchang, China
| | - B Yin
- Department of Dermatology, Chengdu Second People's Hospital, Chengdu, China
| | - F-Q Li
- Department of Dermatology, the Second Hospital of Jilin University, Changchun, China
| | - X-F Li
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - P Abliz
- Department of Dermatology, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - H-F Liu
- Department of Dermatology, Dermatology Hospital of Southern Medical University, Guangzhou, China
| | - Y Zhang
- Department of Dermatology, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China
| | - N Yu
- Department of Dermatology, General Hospital of Ningxia Medical University, Yinchuan, China
| | - W-W Wu
- Department of Dermatology, the Fifth People's Hospital of Hainan Province, Haikou, China
| | - X-C Xiong
- Department of Dermatology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - J-S Zeng
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - H-Q Huang
- Department of Dermatology and Venereology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Y-P Jiang
- Department of Dermatology, the Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - G-Z Chen
- Department of Dermatology, the Affiliated Hospital of Qingdao University, Qingdao, China
| | - W-H Pan
- Department of Dermatology, Shanghai Changzheng Hospital, Naval Military Medical University, Shanghai, China
| | - H Sang
- Department of Dermatology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Y Wang
- Department of Dermatology, Changhai Hospital of Shanghai, Shanghai, China
| | - Y Guo
- Department of Dermatology, the Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - D-M Shi
- Department of Dermatology, Jining No, People's Hospital, Jining, China
| | - J-X Yang
- Department of Dermatology, 2nd Affiliated Hospital of Harbin Medical University, Harbin, China
| | - W Chen
- Department of Dermatology and Venereology, Peking University First Hospital, National Clinical Research Centre for Skin and Immune Diseases, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Z Wan
- Department of Dermatology and Venereology, Peking University First Hospital, National Clinical Research Centre for Skin and Immune Diseases, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - R-Y Li
- Department of Dermatology and Venereology, Peking University First Hospital, National Clinical Research Centre for Skin and Immune Diseases, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - A-P Wang
- Department of Dermatology and Venereology, Peking University First Hospital, National Clinical Research Centre for Skin and Immune Diseases, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Y-P Ran
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - J Yu
- Department of Dermatology and Venereology, Peking University First Hospital, National Clinical Research Centre for Skin and Immune Diseases, Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
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Le BQ, Too JH, Tan TC, Smith RA, Nurcombe V, Cool SM, Yu N. Application of a BMP2-binding heparan sulphate to promote periodontal regeneration. Eur Cell Mater 2021; 42:139-153. [PMID: 34464450 DOI: 10.22203/ecm.v042a10] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Periodontitis is the most common inflammatory disease that leads to periodontal defects and tooth loss. Regeneration of alveolar bone and soft tissue in periodontal defects is highly desirable but remains challenging. A heparan sulphate variant (HS3) with enhanced affinity for bone morphogenetic protein-2 (BMP2) that, when combined with collagen or ceramic biomaterials, enhances bone tissue regeneration in the axial and cranial skeleton in several animal models was reported previously. In the current study, establishing the efficacy of a collagen/HS3 device for the regeneration of alveolar bone and the adjacent periodontal apparatus and related structures was sought. Collagen sponges loaded with phosphate-buffered saline, HS3, BMP2, or HS3 + BMP2 were implanted into surgically-created intra-bony periodontal defects in rat maxillae. At the 6 week end- point the maxillae were decalcified, and the extent of tissue regeneration determined by histomorphometrical analysis. The combination of collagen/HS3, collagen/BMP2 or collagen/HS3 + BMP2 resulted in a three to four-fold increase in bone regeneration and up to a 1.5 × improvement in functional ligament restoration compared to collagen alone. Moreover, the combination of collagen/HS3 + BMP2 improved the alveolar bone height and reduced the amount of epithelial growth in the apical direction. The implantation of a collagen/ HS3 combination device enhanced the regeneration of alveolar bone and associated periodontal tissues at amounts comparable to collagen in combination with the osteogenic factor BMP2. This study highlights the efficacy of a collagen/HS3 combination device for periodontal regeneration that warrants further development as a point-of-care treatment for periodontitis-related bone and soft tissue loss.
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Affiliation(s)
| | | | | | | | | | | | - N Yu
- ational Dental Research Institute Singapore, National Dental Centre Singapore, 5 Second Hospital Avenue, Singapore
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25
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Han D, Yu Y, He T, Yu N, Dang S, Wu H, Ren J, Duan X. Effect of radiomics from different virtual monochromatic images in dual-energy spectral CT on the WHO/ISUP classification of clear cell renal cell carcinoma. Clin Radiol 2021; 76:627.e23-627.e29. [PMID: 33985770 DOI: 10.1016/j.crad.2021.02.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 02/10/2021] [Indexed: 12/24/2022]
Abstract
AIM To investigate the effect of radiomics obtained from different virtual monochromatic images (VMIs) in dual-energy spectral computed tomography (CT) on the World Health Organization/International Association for Urological Pathology (WHO/ISUP) classification of clear cell renal cell carcinoma (ccRCC). MATERIALS AND METHODS A retrospective study of 99 ccRCC patients who underwent contrast-enhanced dual-energy CT was undertaken. ccRCC was confirmed at surgery or biopsy and graded according to the WHO/ISUP pathological grading criteria as low grade (n=68, grade I and II) or high grade (n=31, grade III and IV). Radiomics risk scores (RRSs) for differentiating high and low grades of ccRCC were constructed from 11 sets of VMI in (40-140 keV, 10 keV interval) the cortical phase. Receiver operating characteristic (ROC) curves were drawn and the area under the curves (AUCs) was calculated to evaluate the discriminatory power of RRS for each VMI. The Hosmer-Lemeshow test was used to evaluate the goodness-of-fit of each model and the decision curve was used to analyse its net benefit to patients. RESULTS The AUC values for distinguishing low-from high-grade ccRCC with RRS of 40-140 keV VMIs were all >0.920. The Hosmer-Lemeshow test showed that the p-values of RRS of VMIs were >0.05, suggesting good fits. In the decision curve analysis, RRS from the 40-140 keV VMIs had similar decision curves and provided better net benefits than considering all patients either as high-grade or low-grade. CONCLUSIONS The RRS obtained from multiple VMIs in dual-energy spectral CT have high diagnostic efficiencies for distinguishing between low- and high-grade ccRCC with no significant differences between different VMIs.
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Affiliation(s)
- D Han
- Department of Medical Image, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Y Yu
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
| | - T He
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
| | - N Yu
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
| | - S Dang
- Department of Medical Image, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - H Wu
- Pathology Department, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China
| | - J Ren
- GE Healthcare China, Beijing, China
| | - X Duan
- Department of Medical Image, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
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Qin J, Zhang S, Poon L, Pan Z, Luo J, Yu N, Wang L, Wu X, Cheng X, Xie X, Lu Y, LU W. Doppler-based predictive model for methotrexate resistance in low-risk gestational trophoblastic neoplasia with myometrial invasion: prospective study of 147 patients. Ultrasound Obstet Gynecol 2021; 57:829-839. [PMID: 32385928 PMCID: PMC8251727 DOI: 10.1002/uog.22069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 03/30/2020] [Accepted: 04/22/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES This prospective clinical study aimed to evaluate the vascularization characteristics of low-risk gestational trophoblastic neoplasia (GTN) using Doppler imaging and to develop a predictive model for resistance to methotrexate (MTX). METHODS Patients with low-risk GTN receiving primary MTX treatment were enrolled from the Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China, from September 2012 to August 2018. The primary endpoint was to develop and internally validate a predictive model for resistance to MTX therapy in these patients. In the training set, clinical features and Doppler hemodynamic parameters before MTX therapy were analyzed using logistic regression to identify independent predictors of MTX resistance, which were integrated into the model. The predictive performance of the model was evaluated by leave-one-out cross-validation in the training dataset and internal validation in an independent-sample test dataset. RESULTS The entire imaging protocol was completed by 147 eligible patients, of which 110 comprised the training set and 37 the test set. In the training set, cases with myometrial invasion (81.8%; 90/110) showed vascular-enriched areas in the myometrium and high velocity and low impedance ratios of the uterine artery (UtA) compared to cases without myometrial invasion (18.2%; 20/110). On multivariate logistic regression analysis, time-averaged mean velocity in UtA (UtA-TAmean) and the International Federation of Gynecology and Obstetrics (FIGO) score were identified as independent predictors (P = 0.009 and P = 0.043, respectively) of MTX resistance. The Doppler-based predictive model, developed based on the 90 cases with myometrial invasion, was y = -2.95332 + 0.41696 × FIGO score + 0.03551 × UtA-TAmean. The model showed an area under the curve of 0.757 (95% CI, 0.653-0.862) and the optimal cut-off value was 0.50622, which had 45.2% sensitivity and 96.6% specificity. The model stratified patients with low-risk GTN into low (< 10%), intermediate (10-90%) and high (> 90%) probability of MTX resistance, based on the threshold values of -1.59544 and 0.10046. The model had an accuracy of 74.4% (95% CI, 64.5-82.3%) in the cross-validation and 72.7% (95% CI, 55.8-84.9%) in the internal validation. CONCLUSIONS The Doppler-based predictive model, combining a non-invasive marker of tumor vascularity with the FIGO scoring system, can differentiate cases with low from those with high probability of developing MTX resistance and therefore has the potential to guide treatment options in patients with low-risk GTN and myometrial invasion. © 2020 Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- J. Qin
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
- Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang ProvinceHangzhouZhejiangChina
| | - S. Zhang
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
- Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang ProvinceHangzhouZhejiangChina
| | - L. Poon
- Department of Obstetrics and GynaecologyThe Chinese University of Hong KongHong Kong SAR
| | - Z. Pan
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
- Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang ProvinceHangzhouZhejiangChina
| | - J. Luo
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - N. Yu
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - L. Wang
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - X. Wu
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
| | - X. Cheng
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
- Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang ProvinceHangzhouZhejiangChina
| | - X. Xie
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
- Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang ProvinceHangzhouZhejiangChina
| | - Y. Lu
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
- Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang ProvinceHangzhouZhejiangChina
- Institute of Translational MedicineZhejiang University School of MedicineHangzhouChina
| | - W. LU
- Women's Reproductive Health Key Laboratory of Zhejiang Province, Women's HospitalZhejiang University School of MedicineHangzhouZhejiangChina
- Center for Uterine Cancer Diagnosis & Therapy Research of Zhejiang ProvinceHangzhouZhejiangChina
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Yang ZM, Yu N, Wang SJ, Korai SK, Liu ZW. Characterization of ecdysteroid biosynthesis in the pond wolf spider, Pardosa pseudoannulata. Insect Mol Biol 2021; 30:71-80. [PMID: 33131130 DOI: 10.1111/imb.12678] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 10/02/2020] [Accepted: 10/28/2020] [Indexed: 06/11/2023]
Abstract
Ecdysteroids, as the key growth hormones, regulate moulting, metamorphosis and reproduction in arthropods. Ecdysteroid biosynthesis is catalysed by a series of cytochrome P450 monooxygenases (CYP450s) encoded by Halloween genes, including spook (spo), phantom (phm), disembodied (dib), shadow (sad) and shade (shd). The ecdysteroid biosynthesis in insects is clear with 20-hydroxyecdysone (20E) as the main ecdysteroid. However, the information on the major ecdysteroids in arachnids is limited. In this study, Halloween genes spo, dib, sad and shd, but not phm, were identified in the pond wolf spider, Pardosa pseudoannulata. Phylogenetic analysis grouped arachnid and insect Halloween gene products into two CYP450 clades, the CYP2 clan (spo and phm) and the mitochondrial clan (dib, sad, and shd). In P. pseudoannulata, the temporal expression profile of the four Halloween genes in concurrence with spiderling moulting with steady increase in the course of the 2nd instar followed by a rapid dropdown once moulting was completed. Spatially, the four Halloween genes were highly expressed in spiderling abdomen and in the ovaries of female adults. In parallel, ponasterone A (PA), but not 20E, was detected by LC-MS/MS analysis in P. pseudoannulata, and it was demonstrated as a functional ecdysteroid in the spider by accelerating of moulting with PA addition. The present study revealed the different ecdysteroid biosynthesis pathways in spiders and insects.
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Affiliation(s)
- Z-M Yang
- Key Laboratory of Integrated Management of Crop Diseases and Pests (Ministry of Education), College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - N Yu
- Key Laboratory of Integrated Management of Crop Diseases and Pests (Ministry of Education), College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - S-J Wang
- Key Laboratory of Integrated Management of Crop Diseases and Pests (Ministry of Education), College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - S K Korai
- Key Laboratory of Integrated Management of Crop Diseases and Pests (Ministry of Education), College of Plant Protection, Nanjing Agricultural University, Nanjing, China
| | - Z-W Liu
- Key Laboratory of Integrated Management of Crop Diseases and Pests (Ministry of Education), College of Plant Protection, Nanjing Agricultural University, Nanjing, China
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Yu BT, Yu N, Wang Y, Zhang H, Wan K, Sun X, Zhang CS. Role of miR-133a in regulating TGF-β1 signaling pathway in myocardial fibrosis after acute myocardial infarction in rats. Eur Rev Med Pharmacol Sci 2020; 23:8588-8597. [PMID: 31646592 DOI: 10.26355/eurrev_201910_19175] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this research was to explore the effect of microRNA-133a (miR-133a) on myocardial fibrosis and cardiac function after myocardial infarction in rats, and to investigate the possible regulatory mechanism. MATERIALS AND METHODS Myocardial infarction model was successfully established in rats by ligation of the left anterior descending coronary artery. After miR-133a overexpression in rats myocardium, cardiac function was examined by echocardiography. Meanwhile, the degree of myocardial fibrosis was detected by Masson staining. In addition, the expression of α-smooth muscle actin (α-SMA) in cardiomyocytes was detected by immunohistochemistry. Quantitative Real-time polymerase chain reaction (qRT-PCR) was performed to analyze the expression level of miR-133a in the junction of myocardial infarction. The mRNA expressions of transforming growth factor-β1 (TGF-β1), connective tissue growth factor (CTGF), collagen type 1 (col 1), collagen type 3 (col 3) and α-SMA were measured by qRT-PCR as well. Furthermore, the protein levels of the above genes were detected by Western blotting. RESULTS MiR-133a expression in the infarct border zone of myocardial tissue was significantly decreased on the 28th day after myocardial infarction surgery (p<0.05). In addition, up-regulation of miRNA-133a in myocardial tissue of rats with myocardial infarction could remarkably improve cardiac function and reduce collagen volume fraction. Furthermore, the mRNA and protein expression levels of TGF-β1, CTGF, col1, col3, α-SMA in myocardial tissue were obviously decreased after miRNA-133a up-regulation (p<0.001). CONCLUSIONS Overexpression of miR-133a down-regulates the mRNA and protein levels of TGF-β1 and CTGF after myocardial infarction. Moreover, this may eventually reduce myocardial collagen deposition, inhibit myocardial fibrosis and improve cardiac function.
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Affiliation(s)
- B-T Yu
- Department of Emergency, The Affiliated Central Hospital of Qingdao University, Qingdao, China.
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Campbell S, Juloori A, Smile T, LaHurd D, Yu N, Woody N, Stephans K. Impact of Prior Y90 Dosimetry on Toxicity and Outcomes Following SBRT for Hepatocellular Carcinoma. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.1810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Lee J, Kim YC, Lee S, Yoo S, Davis K, Nagar S, Sawyer W, Yu N, Taylor A. 413P South Korean real-world treatment patterns in patients with EGFRm NSCLC. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Ma G, Han D, Dang S, Yu N, Yang Q, Yang C, Jin C, Dou Y. Replacing true unenhanced imaging in renal carcinoma with virtual unenhanced images in dual-energy spectral CT: a feasibility study. Clin Radiol 2020; 76:81.e21-81.e27. [PMID: 32993881 DOI: 10.1016/j.crad.2020.08.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 08/21/2020] [Indexed: 11/18/2022]
Abstract
AIM To investigate the clinical value of virtual unenhanced (VNC) spectral computed tomography (CT) images to replace the conventional true unenhanced spectral CT images (TNC) in diagnosing renal carcinoma. MATERIALS AND METHODS Fifty-six cases of renal carcinoma confirmed by histopathology underwent conventional plain CT and contrast-enhanced spectral CT at arterial phase (AP) and venous phase (VP). VNC images were generated on an AW4.6 workstation. The CT attenuation, image noise, contrast-to-noise ratio (CNR), and signal-noise-ratio (SNR) of the renal lesions and normal kidneys, long and short axis diameters of the lesion were measured from the three image sets and analysed using one-way analysis of variance (ANOVA). Two radiologists evaluated image quality subjectively using a five-point score, and lesion signature using a three-point score. Image quality scores were compared statistically and tested for consistency. RESULTS The two reviewers had good agreement for subjective evaluation (Kappa>0.70) and there was no difference in the quality of the scores among the three image groups. The lesion signature scores were all above the acceptable level. The CNR and SNR values in VNC were significantly higher than in TNC (p<0.05). VNC images had lower renal noise than in TNC (p<0.05). There was no difference in the long and short axis diameters of the lesion among the three image groups. VNC had higher CT attenuation values for the lesion and kidney than TNC (p<0.05), but the differences were <5 HU. CONCLUSION VNC images in spectral CT may be used to replace the conventional plain CT to reduce imaging duration and radiation dose in diagnosing renal carcinoma.
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Affiliation(s)
- G Ma
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - D Han
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - S Dang
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - N Yu
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - Q Yang
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - C Yang
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China
| | - C Jin
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Yanta Western Road, Xi'an, Shannxi, 710061, China
| | - Y Dou
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China.
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Wang H, Chen ZY, Li ZL, Wang M, Cui J, Yu N, Huang XL, Chang GQ, Wang SM. [The value of color doppler ultrasonography in the diagnosis of impending ruptured abdominal aortic aneurysm]. Zhonghua Yi Xue Za Zhi 2020; 100:2507-2510. [PMID: 32829597 DOI: 10.3760/cma.j.cn112137-20191210-02693] [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: 11/05/2022]
Abstract
Objective: To study the value of color doppler ultrasonography (CDU) in diagnosis of impending ruptured abdominal aortic aneurysm (IRAAA). Methods: A total of 35 cases with IRAAA which were identified by CDU in our department from June 2014 to June 2019 were retrospectively analyzed. All the patients were detected by computed tomographic angiography (CTA). The types, length of the neck of aneurysm, largest diameter, thrombosis, involvement of common iliac artery and impending ruptured conditions were compared. The postoperative patients were followed-up by CDU and CTA (mean time was 2.6 months). Results: Among 35 patients, CDU diagnosed that 5 cases were pararenal types and 30 cases were infrarenal types. CTA showed that 4 cases were pararenal types and 31 cases were infrarenal types. The misdiagnosis rate of CDU was 2.9% (1/35). CDU showed that bilateral common iliac arteries were involved in 21 cases, right common iliac arteries were involved in 3 cases, and left common iliac arteries were involved in 2 cases. CTA detected the same results. There was no statistical difference between CDU and CTA for detection of the largest anteroposterior diameter, transverse diameter and the thickness of thrombosis (P values were 0.354, 0.310 and 0.865). There was statistical difference in the detection of the length of the aneurysm's neck (P=0.006). CDU showed 3 cases of focal wall discontinuity, 4 cases of hyperattenuating crescent sign, 3 cases of thrombus fissuration and 2 cases of saclike protuberance, which were consistent with the detection of CTA. CDU showed that locally thin wall of aneurysm was detected in the rest of 23 cases. CTA showed 2 patients were negative. The misdiagnosis rate of CDU was 5.7% (2/35). Three cases did not undergo surgery. Open repairs (OR) were performed in 5 cases. Endovascular aneurysm repairs (EVAR) were performed in 27 cases. The postoperative patients were followed up by CDU and CTA at 1 month, 3 months, 6 months and 12 months. All the artificial blood vessels and stents were patent. Endoleak was observed in 5 cases. Aneurysm sac thrombosis was found in the rest of the cases. Conclusions: CDU plays an important role in the analysis and diagnosis of the size, range, and the impending ruptured symptoms of the aneurysm. It provides a reliable basis for IRAAA screening, diagnosis and postoperative follow-up, and has important clinical value.
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Affiliation(s)
- H Wang
- Department of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, National-Local Joint Engineering Laboratory of Vascular Disease Treatment, Guangdong Engineering and Technology Center for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China
| | - Z Y Chen
- Department of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, National-Local Joint Engineering Laboratory of Vascular Disease Treatment, Guangdong Engineering and Technology Center for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China
| | - Z L Li
- Department of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, National-Local Joint Engineering Laboratory of Vascular Disease Treatment, Guangdong Engineering and Technology Center for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China
| | - M Wang
- Department of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, National-Local Joint Engineering Laboratory of Vascular Disease Treatment, Guangdong Engineering and Technology Center for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China
| | - J Cui
- Department of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, National-Local Joint Engineering Laboratory of Vascular Disease Treatment, Guangdong Engineering and Technology Center for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China
| | - N Yu
- Department of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, National-Local Joint Engineering Laboratory of Vascular Disease Treatment, Guangdong Engineering and Technology Center for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China
| | - X L Huang
- Department of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, National-Local Joint Engineering Laboratory of Vascular Disease Treatment, Guangdong Engineering and Technology Center for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China
| | - G Q Chang
- Department of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, National-Local Joint Engineering Laboratory of Vascular Disease Treatment, Guangdong Engineering and Technology Center for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China
| | - S M Wang
- Department of Vascular Surgery, the First Affiliated Hospital of Sun Yat-sen University, National-Local Joint Engineering Laboratory of Vascular Disease Treatment, Guangdong Engineering and Technology Center for Diagnosis and Treatment of Vascular Diseases, Guangzhou 510080, China
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Jagannathan S, Ackerman L, Chen W, Yu N, Cavillon M, Tuggle M, Hawkins TW, Ballato J, Dragic PD. Random lasing from optical fibers with phase separated glass cores. Opt Express 2020; 28:22049-22063. [PMID: 32752473 DOI: 10.1364/oe.396109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 06/29/2020] [Indexed: 06/11/2023]
Abstract
A novel random laser, integrating a passive optical fiber with a phase separated aluminosilicate core-silica cladding as the feedback medium, is proposed and presented. The core exhibits greatly enhanced Rayleigh scattering, therefore requiring a significantly reduced length of scattering fiber (4 m) for lasing. With a Yb-doped fiber as the gain medium, the fiber laser operates at 1050 nm with low threshold power and possesses an output that can be amplified through conventional means. Furthermore, the laser was found to have a high degree of spatial coherence, spectral broadening with increasing input power, and temporal spectral variation. The facile setup and results herein pave the way for further study and applications based on low threshold random fiber lasers.
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Yu N. 023 Circulating serum amyloid A levels correlate with the severity of generalized pustular psoriasis. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Lee S, Yu N, Laughlin B, Haddock M, Ashman J, Merrell K, Rule W, Wittich MN, Mathis K, Merchea A, Hubbard J, Bekaii-Saab T, Ahn D, Jin Z, Mahipal A, Etzioni D, Mishra N, Krishnan S, Hallemeier C, Sio T. P-130 Short course pelvic radiotherapy for localized and oligometastatic rectal adenocarcinoma: The Mayo Clinic experience. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.04.212] [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: 11/16/2022] Open
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Affiliation(s)
- Xiaojun Zhu
- Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, People's Republic of China
| | - N. Balakrishnan
- Department of Mathematics and Statistics, McMaster University, Hamilton, Canada
| | - Chengzhu Feng
- Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, People's Republic of China
| | - Jiacheng Ni
- Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, People's Republic of China
| | - Nanxi Yu
- Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, People's Republic of China
| | - Weilin Zhou
- Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, People's Republic of China
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Zhang Q, Yu N, Yu BT. MicroRNA-298 regulates apoptosis of cardiomyocytes after myocardial infarction. Eur Rev Med Pharmacol Sci 2019; 22:532-539. [PMID: 29424914 DOI: 10.26355/eurrev_201801_14206] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To investigate the role and mechanism of micro ribonucleic acid (miR)-298 in myocardial apoptosis after myocardial infarction. MATERIALS AND METHODS In vivo experiments, the rat model of myocardial infarction was established, and miR-298 was up-regulated via lentivirus with miR-298 overexpression. Cardiac function of rats was detected via echocardiography, Bcl-2 associated X protein (BAX) expressions in infarction border zone were detected via Real-time Quantitative PCR (qT-PCR) and Western blot, and TUNEL assay was used to detect the myocardial apoptosis. In vitro experiments, myocardial cells were isolated and cultured, an oxygen-glucose deprivation (OGD) model was established to mimicking the ischemic condition, the relationship between miR-298 and BAX was verified using luciferase reporter vector, lentivirus and small-interfering RNA (siRNA) in BAX. RESULTS In vivo experiments showed that the miR-298 expression was down-regulated at 2 and 4 weeks after myocardial infarction. The up-regulation of miR-298 significantly improved the cardiac function, decreased the expressions of BAX, reduced the myocardial apoptosis and inhibit the apoptosis proteins expression including cytochrome-c and cleaved caspase-3. In vitro experiments revealed that BAX was a target gene of miR-298 and further proof that miR-298 could inhibit the cytochrome-c and cleaved caspase-3 expression and myocardial apoptosis through BAX. CONCLUSIONS MiR-298 can improve the myocardial apoptosis through the target gene BAX.
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Affiliation(s)
- Q Zhang
- Department of Cardiology, Coal General Hospital, Beijing, China.
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Yu N, Fan L, Wu JL, Chen SH, Li W. Analysis on the correlations of ENOS and ET-2 gene polymorphisms with eclampsia. Eur Rev Med Pharmacol Sci 2019; 23:6800-6805. [PMID: 31486478 DOI: 10.26355/eurrev_201908_18718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To explore the correlations of endothelial nitric oxide synthase (eNOS) G894T and endothelin-2 (ET-2) A985G gene polymorphisms with eclampsia. PATIENTS AND METHODS A total of 110 eclampsia patients in our hospital from July 2014 to August 2017 were enrolled as the observation group and 100 healthy pregnant women in the same period as the control group. The polymorphisms of eNOS G894T and ET-2 A985G genes in the two groups were analyzed via polymerase chain reaction (PCR), and their correlations with eclampsia risk were investigated. RESULTS The distribution frequency of eNOS G894T genotype TT and GT and T allele, as well as the ET-2 A985G genotype GG and AG and G allele, were evidently higher in the observation group than in the control group (p<0.05). ENOS G894T genotype TT and ET-2 A985G genotype GG were significantly associated with the occurrence of eclampsia. CONCLUSIONS The polymorphisms of eNOS G894T and ET-2 A985G genes are correlated with the occurrence of eclampsia.
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Affiliation(s)
- N Yu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Ren ZL, Hu ZJ, Li D, Jia YJ, Yu N, Yu Y, Guo CY, Zhang XR, He TP. [Application of adaptive statistical iterative reconstruction veo and 80 kv in renal computed tomography angiography]. Zhonghua Yi Xue Za Zhi 2019; 99:1953-1958. [PMID: 31269599 DOI: 10.3760/cma.j.issn.0376-2491.2019.25.010] [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: 06/09/2023]
Abstract
Objective: To explore the application of adaptive statistical iterative reconstruction Veo (ASIR-V) and 80 kV in renal computed tomography angiography(CTA). Methods: Eighty patients with renal computed tomography angiography were prospectively collected from April 2018 to July 2018 in the Affiliated Hospital of Shaanxi University of Chinese Medicine and randomly divided into group A and group B. The patients in group A adopted tube voltage 120 kV and contrast agent concentration 600 mgI/kg and reconstructed with filtered back projection (FBP), while the patients in group B were scanned with tube voltage 80 kV and contrast agent concentration 350 mgI/kg and reconstructed with FBP and ASIR-V from 10% to 100% with 10% interval. The CT values and standard deviation (SD) of the right renal artery, left renal artery were measured respectively to calculate the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR).The image quality of renal CTA was subjectively scored by two experienced radiologists blindly using a 5-point criteria.The contrast agent,CT volume dose index(CTDI(vol)) and dose length product(DLP) in both groups were recorded and the effective radiation dose(ED) was calculated. Results: The ED ((2.11±0.19)mSv) and contrast agent ((21.9±3.0)g) in group B were 65.1% (P<0.05) and 42.2% (P<0.05) lower than those in group A ((6.04±1.89)mSv and (38.0±3.8)g).With the increase of ASIR-V percentage in group B, CT values showed no significant difference, SD values gradually decreased, SNR values and CNR values gradually increased.The CT values with different reconstruction algorithm showed no statistically significant difference (all P>0.05) between group A and group B. The SD values with 40%ASIR-V to 100%ASIR-V reconstruction in group B were significantly lower than those of group A (all P<0.05).The SNR values with 50% ASIR-V to 100% ASIR-V reconstruction and CNR values with 70%ASIR-V to 100%ASIR-V were significantly higher than those of group A(all P<0.5).Two radiologists had excellent consistency in subjective scores of image quality for renal CTA(all kappa>0.75, P<0.05). The subjective scores with 60% ASIR-V to 90% ASIR-V in group B were significantly higher than those in group A (P<0.05), of which 70%ASIR-V reconstruction achieved the highest subjective score for renal CTA. Conclusion: ASIR-V and 80 kV can significantly reduce radiation dose (about 65.1%) and contrast agent (about 42.2%) in renal CTA, ASIR-V reconstruction can significantly improve the image quality of renal CTA, of which 70% ASIR-V reconstruction achieved the best image quality in 80 kV renal CTA.
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Affiliation(s)
- Z L Ren
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Z J Hu
- Department of Radiology, Chang'an Hospital, Xi'an 710016, China
| | - D Li
- Department of Radiology, Chang'an Hospital, Xi'an 710016, China
| | - Y J Jia
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - N Yu
- Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Y Yu
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - C Y Guo
- Department of Radiology, the Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - X R Zhang
- Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - T P He
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
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Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aoyama R, Aparin A, Arkhipkin D, Aschenauer EC, Ashraf MU, Atetalla F, Attri A, Averichev GS, Bai X, Bairathi V, Barish K, Bassill AJ, Behera A, Bellwied R, Bhasin A, Bhati AK, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Brandenburg JD, Brandin AV, Brown D, Bryslawskyj J, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen JH, Chen X, Chen X, Cheng J, Cherney M, Christie W, Contin G, Crawford HJ, Csanad M, Das S, Dedovich TG, Deppner IM, Derevschikov AA, Didenko L, Dilks C, Dong X, Drachenberg JL, Dunlop JC, Efimov LG, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Federicova P, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Gibson A, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Guryn W, Hamad AI, Hamed A, Harlenderova A, Harris JW, He L, Heppelmann S, Heppelmann S, Herrmann N, Hirsch A, Holub L, Hong Y, Horvat S, Huang B, Huang HZ, Huang SL, Huang T, Huang X, Humanic TJ, Huo P, Igo G, Jacobs WW, Jentsch A, Jia J, Jiang K, Jowzaee S, Ju X, Judd EG, Kabana S, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kikoła DP, Kim C, Kinghorn TA, Kisel I, Kisiel A, Kochenda L, Kosarzewski LK, Kraishan AF, Kramarik L, Krauth L, Kravtsov P, Krueger K, Kulathunga N, Kumar L, Kunnawalkam Elayavalli R, Kvapil J, Kwasizur JH, Lacey R, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Li C, Li W, Li X, Li Y, Liang Y, Lidrych J, Lin T, Lipiec A, Lisa MA, Liu F, Liu H, Liu P, Liu P, Liu Y, Liu Z, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo S, Luo X, Ma GL, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Matonoha O, Mazer JA, Meehan K, Mei JC, Minaev NG, Mioduszewski S, Mishra D, Mohanty B, Mondal MM, Mooney I, Morozov DA, Nasim M, Negrete JD, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Odyniec G, Ogawa A, Oh K, Oh S, Okorokov VA, Olvitt D, Page BS, Pak R, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pinter RL, Pluta J, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Quintero A, Radhakrishnan SK, Ramachandran S, Ray RL, Reed R, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Salur S, Sandweiss J, Schambach J, Schmah AM, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shen F, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Siejka S, Sikora R, Simko M, Singh J, Singha S, Smirnov D, Smirnov N, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sugiura T, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Surrow B, Svirida DN, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Tu B, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Videbæk F, Vokal S, Voloshin SA, Vossen A, Wang F, Wang G, Wang P, Wang Y, Wang Y, Webb JC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu J, Xu N, Xu QH, Xu YF, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang J, Zhang J, Zhang L, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zyzak M. Azimuthal Harmonics in Small and Large Collision Systems at RHIC Top Energies. Phys Rev Lett 2019; 122:172301. [PMID: 31107064 DOI: 10.1103/physrevlett.122.172301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 03/26/2019] [Indexed: 06/09/2023]
Abstract
The first (v_{1}^{fluc}), second (v_{2}), and third (v_{3}) harmonic coefficients of the azimuthal particle distribution at midrapidity are extracted for charged hadrons and studied as a function of transverse momentum (p_{T}) and mean charged particle multiplicity density ⟨N_{ch}⟩ in U+U (sqrt[s_{NN}]=193 GeV), Au+Au, Cu+Au, Cu+Cu, d+Au, and p+Au collisions at sqrt[s_{NN}]=200 GeV with the STAR detector. For the same ⟨N_{ch}⟩, the v_{1}^{fluc} and v_{3} coefficients are observed to be independent of the collision system, while v_{2} exhibits such a scaling only when normalized by the initial-state eccentricity (ϵ_{2}). The data also show that ln(v_{2}/ϵ_{2}) scales linearly with ⟨N_{ch}⟩^{-1/3}. These measurements provide insight into initial-geometry fluctuations and the role of viscous hydrodynamic attenuation on v_{n} from small to large collision systems.
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Affiliation(s)
- J Adam
- Creighton University, Omaha, Nebraska 68178
| | - L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - R Aoyama
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - D Arkhipkin
- Brookhaven National Laboratory, Upton, New York 11973
| | | | | | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - X Bai
- Central China Normal University, Wuhan, Hubei 430079
| | - V Bairathi
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - K Barish
- University of California, Riverside, California 92521
| | - A J Bassill
- University of California, Riverside, California 92521
| | - A Behera
- State University of New York, Stony Brook, New York 11794
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - A K Bhati
- Panjab University, Chandigarh 160014, India
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Brown
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - J Bryslawskyj
- University of California, Riverside, California 92521
| | - I Bunzarov
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Kent State University, Kent, Ohio 44242
- Shandong University, Qingdao, Shandong 266237
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - F-H Chang
- National Cheng Kung University, Tainan 70101
| | - Z Chang
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - A Chatterjee
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | | | - J H Chen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178
| | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - G Contin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - M Csanad
- Eötvös Loránd University, Budapest, Hungary H-1117
| | - S Das
- Central China Normal University, Wuhan, Hubei 430079
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | | | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Dilks
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - L G Efimov
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - R Esha
- University of California, Los Angeles, California 90095
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - J Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - P Federicova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - C E Flores
- University of California, Davis, California 95616
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - T Galatyuk
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | | | - Y Guo
- Kent State University, Kent, Ohio 44242
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- Texas A&M University, College Station, Texas 77843
| | - A Harlenderova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - L He
- Purdue University, West Lafayette, Indiana 47907
| | - S Heppelmann
- University of California, Davis, California 95616
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - N Herrmann
- University of Heidelberg, Heidelberg 69120, Germany
| | - A Hirsch
- Purdue University, West Lafayette, Indiana 47907
| | - L Holub
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - Y Hong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Horvat
- Yale University, New Haven, Connecticut 06520
| | - B Huang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - T Huang
- National Cheng Kung University, Tainan 70101
| | - X Huang
- Tsinghua University, Beijing 100084
| | | | - P Huo
- State University of New York, Stony Brook, New York 11794
| | - G Igo
- University of California, Los Angeles, California 90095
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - A Jentsch
- University of Texas, Austin, Texas 78712
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Kent State University, Kent, Ohio 44242
| | - S Kagamaster
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521
| | - T A Kinghorn
- University of California, Davis, California 95616
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kisiel
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A F Kraishan
- Temple University, Philadelphia, Pennsylvania 19122
| | - L Kramarik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Krauth
- University of California, Riverside, California 92521
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439
| | | | - L Kumar
- Panjab University, Chandigarh 160014, India
| | | | - J Kvapil
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - J Lidrych
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - T Lin
- Texas A&M University, College Station, Texas 77843
| | - A Lipiec
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - M A Lisa
- Ohio State University, Columbus, Ohio 43210
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - P Liu
- State University of New York, Stony Brook, New York 11794
| | - P Liu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- University of Science and Technology of China, Hefei, Anhui 230026
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - M Lomnitz
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Ma
- Fudan University, Shanghai 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - N Magdy
- State University of New York, Stony Brook, New York 11794
| | - R Majka
- Yale University, New Haven, Connecticut 06520
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - C Markert
- University of Texas, Austin, Texas 78712
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - O Matonoha
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - K Meehan
- University of California, Davis, California 95616
| | - J C Mei
- Shandong University, Qingdao, Shandong 266237
| | - N G Minaev
- Institute of High Energy Physics, Protvino 142281, Russia
| | | | - D Mishra
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- Institute of Physics, Bhubaneswar 751005, India
| | - I Mooney
- Wayne State University, Detroit, Michigan 48201
| | - D A Morozov
- Institute of High Energy Physics, Protvino 142281, Russia
| | - Md Nasim
- University of California, Los Angeles, California 90095
| | - J D Negrete
- University of California, Riverside, California 92521
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- Wayne State University, Detroit, Michigan 48201
| | - L V Nogach
- Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- Central China Normal University, Wuhan, Hubei 430079
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - K Oh
- Pusan National University, Pusan 46241, Korea
| | - S Oh
- Yale University, New Haven, Connecticut 06520
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Olvitt
- Temple University, Philadelphia, Pennsylvania 19122
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - B Pawlik
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079
| | - C Perkins
- University of California, Berkeley, California 94720
| | - R L Pinter
- Eötvös Loránd University, Budapest, Hungary H-1117
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | | | | | - R L Ray
- University of Texas, Austin, Texas 78712
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J L Romero
- University of California, Davis, California 95616
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - O Rusnakova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843
| | - P K Sahu
- Institute of Physics, Bhubaneswar 751005, India
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520
| | | | - A M Schmah
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794
| | - F Seck
- Technische Universität Darmstadt, Darmstadt 64289, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - M Sergeeva
- University of California, Los Angeles, California 90095
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | - F Shen
- Shandong University, Qingdao, Shandong 266237
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Siejka
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Kent State University, Kent, Ohio 44242
| | - D Smirnov
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - D J Stewart
- Yale University, New Haven, Connecticut 06520
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A A P Suaide
- Universidade de São Paulo, São Paulo, Brazil 05314-970
| | - T Sugiura
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M Sumbera
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - X Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - P Szymanski
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - D Tlusty
- Rice University, Houston, Texas 77251
| | - T Todoroki
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - O D Tsai
- University of California, Los Angeles, California 90095
| | - B Tu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
| | - I Upsal
- Brookhaven National Laboratory, Upton, New York 11973
- Shandong University, Qingdao, Shandong 266237
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Vanek
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - A N Vasiliev
- Institute of High Energy Physics, Protvino 142281, Russia
| | - I Vassiliev
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - A Vossen
- Indiana University, Bloomington, Indiana 47408
| | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - G Wang
- University of California, Los Angeles, California 90095
| | - P Wang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402
| | - Y Wu
- Kent State University, Kent, Ohio 44242
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - J Xu
- Central China Normal University, Wuhan, Hubei 430079
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Qingdao, Shandong 266237
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - I-K Yoo
- Pusan National University, Pusan 46241, Korea
| | - N Yu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Zhang
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - L Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | | | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - Z Zhu
- Shandong University, Qingdao, Shandong 266237
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Wang Q, Rao HY, Yu N, Gao SQ, Wei L. [Comorbidities and concomitant medication use in adult patients with chronic hepatitis C: a descriptive epidemiological analysis]. Zhonghua Gan Zang Bing Za Zhi 2019; 26:225-232. [PMID: 29804396 DOI: 10.3760/cma.j.issn.1007-3418.2018.03.011] [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: 11/05/2022]
Abstract
Objective: To analyze the comorbidity and concomitant medications use in adult patients with chronic hepatitis C. Methods: A descriptive epidemiological methods was carried out in adult patients with chronic hepatitis C and data from 2013 to 2015 were accessed through the China Medical Insurance database. Results: Among a chronic HCV cohort of 2 958 cases, the top five comorbidities were diabetes, hypertension, ischemic heart disease, gastroduodenitis, and co-infection with HBV and HCV. The three most common concomitant medications prescribed for mentioned comorbidities were acarbose, metformin and repaglinide (Diabetes), nifedipine, amlodipine and metoprolol (Hypertension), aspirin, nifedipine and amlodipine (Ischemic heart disease), omeprazole, pantoprazole and levolfoxacin (Gastroduodenitis), ribavirin, pegylated interferon alpha-2a and alpha-2b ( Co- infected with hepatitis B and C virus). Conclusion: The five most frequent comorbidities in adult patients with chronic hepatitis C are diabetes, hypertension, ischemic heart disease, gastroduodenitis, and co-infection with HBV and HCV. A concomitant medication use in those patients with comorbidities causes potential drug-drug interactions.
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Affiliation(s)
- Q Wang
- Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing 100044, China
| | - H Y Rao
- Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing 100044, China
| | - N Yu
- Beijing Brainpower Pharma Consulting, Beijing 100021, China
| | - S Q Gao
- Beijing North Medical & Health Economics Research Center, Beijing 100021, China
| | - L Wei
- Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing 100044, China
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Adam J, Adamczyk L, Adams J, Adkins J, Agakishiev G, Aggarwal M, Ahammed Z, Alekseev I, Anderson D, Aoyama R, Aparin A, Arkhipkin D, Aschenauer E, Ashraf M, Atetalla F, Attri A, Averichev G, Bai X, Bairathi V, Barish K, Bassill A, Behera A, Bellwied R, Bhasin A, Bhati A, Bielcik J, Bielcikova J, Bland L, Bordyuzhin I, Brandenburg J, Brandin A, Brown D, Bryslawskyj J, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Chakaberia I, Chaloupka P, Chan B, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen J, Chen X, Chen X, Cheng J, Cherney M, Christie W, Contin G, Crawford H, Csanad M, Das S, Dedovich T, Deng J, Deppner I, Derevschikov A, Didenko L, Dilks C, Dong X, Drachenberg J, Dunlop J, Efimov L, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Federicova P, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores C, Fulek L, Gagliardi C, Galatyuk T, Geurts F, Gibson A, Grosnick D, Gunarathne D, Guo Y, Gupta A, Guryn W, Hamad A, Hamed A, Harlenderova A, Harris J, He L, Heppelmann S, Heppelmann S, Herrmann N, Hirsch A, Holub L, Hong Y, Horvat S, Huang B, Huang H, Huang S, Huang T, Huang X, Humanic T, Huo P, Igo G, Jacobs W, Jentsch A, Jia J, Jiang K, Jowzaee S, Ju X, Judd E, Kabana S, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke H, Keane D, Kechechyan A, Kikoła D, Kim C, Kinghorn T, Kisel I, Kisiel A, Kochenda L, Kosarzewski L, Kraishan A, Kramarik L, Krauth L, Kravtsov P, Krueger K, Kulathunga N, Kumar L, Kunnawalkam Elayavalli R, Kvapil J, Kwasizur J, Lacey R, Landgraf J, Lauret J, Lebedev A, Lednicky R, Lee J, Li C, Li W, Li X, Li Y, Liang Y, Lidrych J, Lin T, Lipiec A, Lisa M, Liu F, Liu H, Liu P, Liu P, Liu Y, Liu Z, Ljubicic T, Llope W, Lomnitz M, Longacre R, Luo S, Luo X, Ma G, Ma L, Ma R, Ma Y, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis H, Matonoha O, Mazer J, Meehan K, Mei J, Minaev N, Mioduszewski S, Mishra D, Mohanty B, Mondal M, Mooney I, Morozov D, Nasim M, Negrete J, Nelson J, Nemes D, Nie M, Nigmatkulov G, Niida T, Nogach L, Nonaka T, Odyniec G, Ogawa A, Oh K, Oh S, Okorokov V, Olvitt D, Page B, Pak R, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pinter R, Pluta J, Porter J, Posik M, Pruthi N, Przybycien M, Putschke J, Quintero A, Radhakrishnan S, Ramachandran S, Ray R, Reed R, Ritter H, Roberts J, Rogachevskiy O, Romero J, Ruan L, Rusnak J, Rusnakova O, Sahoo N, Sahu P, Salur S, Sandweiss J, Schambach J, Schmah A, Schmidke W, Schmitz N, Schweid B, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan P, Shao M, Shen F, Shen W, Shi S, Shou Q, Sichtermann E, Siejka S, Sikora R, Simko M, Singh J, Singha S, Smirnov D, Smirnov N, Solyst W, Sorensen P, Spinka H, Srivastava B, Stanislaus T, Stewart D, Strikhanov M, Stringfellow B, Suaide A, Sugiura T, Sumbera M, Summa B, Sun X, Sun X, Sun Y, Surrow B, Svirida D, Szymanski P, Tang A, Tang Z, Taranenko A, Tarnowsky T, Thomas J, Timmins A, Tlusty D, Todoroki T, Tokarev M, Tomkiel C, Trentalange S, Tribble R, Tribedy P, Tripathy S, Tsai O, Tu B, Ullrich T, Underwood D, Upsal I, Van Buren G, Vanek J, Vasiliev A, Vassiliev I, Videbæk F, Vokal S, Voloshin S, Vossen A, Wang F, Wang G, Wang P, Wang Y, Wang Y, Webb J, Wen L, Westfall G, Wieman H, Wissink S, Witt R, Wu Y, Xiao Z, Xie G, Xie W, Xu J, Xu N, Xu Q, Xu Y, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang J, Zhang J, Zhang L, Zhang S, Zhang S, Zhang X, Zhang Y, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zyzak M. Improved measurement of the longitudinal spin transfer to
Λ
and
Λ¯
hyperons in polarized proton-proton collisions at
s=200 GeV. Int J Clin Exp Med 2018. [DOI: 10.1103/physrevd.98.112009] [Citation(s) in RCA: 3] [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] [Indexed: 11/07/2022]
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Adamczyk L, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Alford J, Anson CD, Aparin A, Arkhipkin D, Aschenauer EC, Averichev GS, Banerjee A, Beavis DR, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bichsel H, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Borowski W, Bouchet J, Brandin AV, Brovko SG, Bültmann S, Bunzarov I, Burton TP, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Cendejas R, Cervantes MC, Chaloupka P, Chang Z, Chattopadhyay S, Chen HF, Chen JH, Chen L, Cheng J, Cherney M, Chikanian A, Christie W, Chwastowski J, Codrington MJM, Contin G, Cramer JG, Crawford HJ, Cui X, Das S, Davila Leyva A, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Derradi de Souza R, Dhamija S, di Ruzza B, Didenko L, Dilks C, Ding F, Djawotho P, Dong X, Drachenberg JL, Draper JE, Du CM, Dunkelberger LE, Dunlop JC, Efimov LG, Engelage J, Engle KS, Eppley G, Eun L, Evdokimov O, Eyser O, Fatemi R, Fazio S, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Gagliardi CA, Gangadharan DR, Garand D, Geurts F, Gibson A, Girard M, Gliske S, Greiner L, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Gupta S, Guryn W, Haag B, Hamed A, Han LX, Haque R, Harris JW, Heppelmann S, Hirsch A, Hoffmann GW, Hofman DJ, Horvat S, Huang B, Huang HZ, Huang X, Huck P, Humanic TJ, Igo G, Jacobs WW, Jang H, Judd EG, Kabana S, Kalinkin D, Kang K, Kauder K, Ke HW, Keane D, Kechechyan A, Kesich A, Khan ZH, Kikola DP, Kisel I, Kisiel A, Koetke DD, Kollegger T, Konzer J, Koralt I, Kotchenda L, Kraishan AF, Kravtsov P, Krueger K, Kulakov I, Kumar L, Kycia RA, Lamont MAC, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, LeVine MJ, Li C, Li W, Li X, Li X, Li Y, Li ZM, Lisa MA, Liu F, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Ma GL, Ma YG, Madagodagettige Don DMMD, Mahapatra DP, Majka R, Margetis S, Markert C, Masui H, Matis HS, McDonald D, McShane TS, Minaev NG, Mioduszewski S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nandi BK, Nasim M, Nayak TK, Nelson JM, Nigmatkulov G, Nogach LV, Noh SY, Novak J, Nurushev SB, Odyniec G, Ogawa A, Oh K, Ohlson A, Okorokov V, Oldag EW, Olvitt DL, Pachr M, Page BS, Pal SK, Pan YX, Pandit Y, Panebratsev Y, Pawlak T, Pawlik B, Pei H, Perkins C, Peryt W, Pile P, Planinic M, Pluta J, Poljak N, Porter J, Poskanzer AM, Pruthi NK, Przybycien M, Pujahari PR, Putschke J, Qiu H, Quintero A, Ramachandran S, Raniwala R, Raniwala S, Ray RL, Riley CK, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ross JF, Roy A, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Sakrejda I, Salur S, Sandweiss J, Sangaline E, Sarkar A, Schambach J, Scharenberg RP, Schmah AM, Schmidke WB, Schmitz N, Seger J, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma B, Shen WQ, Shi SS, Shou QY, Sichtermann EP, Singaraju RN, Skoby MJ, Smirnov D, Smirnov N, Solanki D, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stevens JR, Stock R, Strikhanov M, Stringfellow B, Sumbera M, Sun X, Sun XM, Sun Y, Sun Z, Surrow B, Svirida DN, Symons TJM, Szelezniak MA, Takahashi J, Tang AH, Tang Z, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Trzeciak BA, Tsai OD, Turnau J, Ullrich T, Underwood DG, Van Buren G, van Nieuwenhuizen G, Vandenbroucke M, Vanfossen JA, Varma R, Vasconcelos GMS, Vasiliev AN, Vertesi R, Videbæk F, Viyogi YP, Vokal S, Vossen A, Wada M, Wang F, Wang G, Wang H, Wang JS, Wang XL, Wang Y, Wang Y, Webb G, Webb JC, Westfall GD, Wieman H, Wissink SW, Witt R, Wu YF, Xiao Z, Xie W, Xin K, Xu H, Xu J, Xu N, Xu QH, Xu Y, Xu Z, Yan W, Yang C, Yang Y, Yang Y, Ye Z, Yepes P, Yi L, Yip K, Yoo IK, Yu N, Zawisza Y, Zbroszczyk H, Zha W, Zhang JB, Zhang JL, Zhang S, Zhang XP, Zhang Y, Zhang ZP, Zhao F, Zhao J, Zhong C, Zhu X, Zhu YH, Zoulkarneeva Y, Zyzak M. Erratum: Observation of D^{0} Meson Nuclear Modifications in Au+Au Collisions at sqrt[s_{NN}]=200 GeV [Phys. Rev. Lett. 113, 142301 (2014)]. Phys Rev Lett 2018; 121:229901. [PMID: 30547623 DOI: 10.1103/physrevlett.121.229901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Indexed: 06/09/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.113.142301.
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Fleming C, Kunapareddy G, Yu N, Tendulkar R, Cherian S, Budd G, Colier P, Shah C. Assessment of Cardiac Dosimetry and Additional Cardiac Risk Factors in Patients Undergoing Modern Breast Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Campbell S, Juloori A, LaHurd D, Yu N, Haddadin I, Levitin A, McLennan G, Menon K, Aucejo F, Woody N, Stephans K. Evaluating Safety and Dosimetry of SBRT following 90Y for Hepatocellular Carcinoma. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Yu N, LaHurd D, Suh J, Xia P. Quantitative Metric and Automatic Auditing Program (QMAP) Can be Applied to Regional Sites to Improve Quality and Consistency. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1308] [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
Precise and efficient genetic manipulations have enabled researchers to understand gene functions in disease and development, providing a platform to search for molecular cures. Over the past decade, the unprecedented advancement of genome editing techniques has revolutionized the biological research fields. Early genome editing strategies involved many naturally occurring nucleases, including meganucleases, zinc finger nucleases, and transcription activator-like effector-based nucleases. More recently, the clustered regularly interspaced short palindromic repeats (CRISPR) / CRISPR-associated nucleases (CRISPR/Cas) system has greatly enriched genetic manipulation methods in conducting research. Those nucleases generate double-strand breaks in the target gene sequences and then utilize DNA repair mechanisms to permit precise yet versatile genetic manipulations. The oral and craniofacial field harbors a plethora of diseases and developmental defects that require genetic models that can exploit these genome editing techniques. This review provides an overview of the genome editing techniques, particularly the CRISPR/Cas9 technique, for the oral and craniofacial research community. We also discuss the details about the emerging applications of genome editing in oral and craniofacial biology.
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Affiliation(s)
- N Yu
- 1 Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, MI, USA
| | - J Yang
- 2 Department of Biologic and Materials Sciences, School of Dentistry, University of Michigan, Ann Arbor, MI, USA.,3 The State Key Laboratory Breeding Base of Basic Science of Stomatology and Key Laboratory for Oral Biomedicine of Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Y Mishina
- 2 Department of Biologic and Materials Sciences, School of Dentistry, University of Michigan, Ann Arbor, MI, USA
| | - W V Giannobile
- 1 Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, MI, USA.,4 Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, MI, USA
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Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Ajitanand NN, Alekseev I, Anderson DM, Aoyama R, Aparin A, Arkhipkin D, Aschenauer EC, Ashraf MU, Atetalla F, Attri A, Averichev GS, Bai X, Bairathi V, Barish K, Bassill AJ, Behera A, Bellwied R, Bhasin A, Bhati AK, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Brandenburg JD, Brandin AV, Brown D, Bryslawskyj J, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Campbell JM, Cebra D, Chakaberia I, Chaloupka P, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen JH, Chen X, Chen X, Cheng J, Cherney M, Christie W, Contin G, Crawford HJ, Das S, Dedovich TG, Deppner IM, Derevschikov AA, Didenko L, Dilks C, Dong X, Drachenberg JL, Dunlop JC, Efimov LG, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Federicova P, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores CE, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Gibson A, Grosnick D, Gunarathne DS, Guo Y, Gupta A, Guryn W, Hamad AI, Hamed A, Harlenderova A, Harris JW, He L, Heppelmann S, Heppelmann S, Herrmann N, Hirsch A, Holub L, Horvat S, Huang X, Huang B, Huang SL, Huang HZ, Huang T, Humanic TJ, Huo P, Igo G, Jacobs WW, Jentsch A, Jia J, Jiang K, Jowzaee S, Judd EG, Kabana S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kikoła DP, Kim C, Kinghorn TA, Kisel I, Kisiel A, Klein SR, Kochenda L, Kosarzewski LK, Kraishan AF, Kramarik L, Krauth L, Kravtsov P, Krueger K, Kulathunga N, Kumar S, Kumar L, Kvapil J, Kwasizur JH, Lacey R, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Li X, Li C, Li W, Li Y, Liang Y, Lidrych J, Lin T, Lipiec A, Lisa MA, Liu F, Liu P, Liu H, Liu Y, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Luo S, Ma GL, Ma YG, Ma L, Ma R, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Matonoha O, Mayes D, Mazer JA, Meehan K, Mei JC, Minaev NG, Mioduszewski S, Mishra D, Mohanty B, Mondal MM, Mooney I, Morozov DA, Nasim M, Negrete JD, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Nurushev SB, Odyniec G, Ogawa A, Oh K, Oh S, Okorokov VA, Olvitt D, Page BS, Pak R, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pluta J, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Quintero A, Radhakrishnan SK, Ramachandran S, Ray RL, Reed R, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Salur S, Sandweiss J, Schambach J, Schmah AM, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shen WQ, Shen F, Shi SS, Shou QY, Sichtermann EP, Siejka S, Sikora R, Simko M, Singha S, Smirnov N, Smirnov D, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sugiura T, Sumbera M, Summa B, Sun Y, Sun X, Sun XM, Surrow B, Svirida DN, Szymanski P, Tang Z, Tang AH, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Tu B, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Videbæk F, Vokal S, Voloshin SA, Vossen A, Wang G, Wang Y, Wang F, Wang Y, Webb JC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu QH, Xu Z, Xu J, Xu YF, Xu N, Yang S, Yang C, Yang Q, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang Z, Zhang L, Zhang Y, Zhang XP, Zhang J, Zhang S, Zhang S, Zhang J, Zhao J, Zhong C, Zhou C, Zhou L, Zhu Z, Zhu X, Zyzak M. Low-p_{T} e^{+}e^{-} Pair Production in Au+Au Collisions at sqrt[s_{NN}]=200 GeV and U+U Collisions at sqrt[s_{NN}]=193 GeV at STAR. Phys Rev Lett 2018; 121:132301. [PMID: 30312102 DOI: 10.1103/physrevlett.121.132301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 08/30/2018] [Indexed: 06/08/2023]
Abstract
We report first measurements of e^{+}e^{-} pair production in the mass region 0.4<M_{ee}<2.6 GeV/c^{2} at low transverse momentum (p_{T}<0.15 GeV/c) in noncentral Au+Au collisions at sqrt[s_{NN}]=200 GeV and U+U collisions at sqrt[s_{NN}]=193 GeV. Significant enhancement factors, expressed as ratios of data over known hadronic contributions, are observed in the 40%-80% centrality of these collisions. The excess yields peak distinctly at low p_{T} with a width (sqrt[⟨p_{T}^{2}⟩]) between 40 and 60 MeV/c. The absolute cross section of the excess depends weakly on centrality, while those from a theoretical model calculation incorporating an in-medium broadened ρ spectral function and radiation from a quark gluon plasma or hadronic cocktail contributions increase dramatically with an increasing number of participant nucleons. Model calculations of photon-photon interactions generated by the initial projectile and target nuclei describe the observed excess yields but fail to reproduce the p_{T}^{2} distributions.
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Affiliation(s)
- J Adam
- Creighton University, Omaha, Nebraska 68178
| | - L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - N N Ajitanand
- State University of New York, Stony Brook, New York 11794
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - R Aoyama
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - D Arkhipkin
- Brookhaven National Laboratory, Upton, New York 11973
| | | | | | | | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - X Bai
- Central China Normal University, Wuhan, Hubei 430079
| | - V Bairathi
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - K Barish
- University of California, Riverside, California 92521
| | - A J Bassill
- University of California, Riverside, California 92521
| | - A Behera
- State University of New York, Stony Brook, New York 11794
| | - R Bellwied
- University of Houston, Houston, Texas 77204
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - A K Bhati
- Panjab University, Chandigarh 160014, India
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Brown
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - J Bryslawskyj
- University of California, Riverside, California 92521
| | - I Bunzarov
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | | | - D Cebra
- University of California, Davis, California 95616
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
- Shandong University, Jinan, Shandong 250100
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - F-H Chang
- National Cheng Kung University, Tainan 70101
| | - Z Chang
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - A Chatterjee
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | | | - J H Chen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178
| | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - G Contin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - S Das
- Central China Normal University, Wuhan, Hubei 430079
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | | | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Dilks
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - L G Efimov
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - R Esha
- University of California, Los Angeles, California 90095
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - J Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Federic
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - P Federicova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - P Filip
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - C E Flores
- University of California, Davis, California 95616
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | | | - T Galatyuk
- Technische Universitat Darmstadt, Darmstadt 64289, Germany
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | | | - Y Guo
- Kent State University, Kent, Ohio 44242
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973
| | - A I Hamad
- Kent State University, Kent, Ohio 44242
| | - A Hamed
- Texas A&M University, College Station, Texas 77843
| | - A Harlenderova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | - L He
- Purdue University, West Lafayette, Indiana 47907
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - S Heppelmann
- University of California, Davis, California 95616
| | - N Herrmann
- University of Heidelberg, Heidelberg 69120, Germany
| | - A Hirsch
- Purdue University, West Lafayette, Indiana 47907
| | - L Holub
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - S Horvat
- Yale University, New Haven, Connecticut 06520
| | - X Huang
- Tsinghua University, Beijing 100084
| | - B Huang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - T Huang
- National Cheng Kung University, Tainan 70101
| | | | - P Huo
- State University of New York, Stony Brook, New York 11794
| | - G Igo
- University of California, Los Angeles, California 90095
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - A Jentsch
- University of Texas, Austin, Texas 78712
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Kent State University, Kent, Ohio 44242
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Wayne State University, Detroit, Michigan 48201
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521
| | - T A Kinghorn
- University of California, Davis, California 95616
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kisiel
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - S R Klein
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A F Kraishan
- Temple University, Philadelphia, Pennsylvania 19122
| | - L Kramarik
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - L Krauth
- University of California, Riverside, California 92521
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439
| | | | - S Kumar
- Panjab University, Chandigarh 160014, India
| | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - J Kvapil
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - J Lidrych
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - T Lin
- Texas A&M University, College Station, Texas 77843
| | - A Lipiec
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - M A Lisa
- Ohio State University, Columbus, Ohio 43210
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - P Liu
- State University of New York, Stony Brook, New York 11794
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - M Lomnitz
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Ma
- Fudan University, Shanghai 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Magdy
- State University of New York, Stony Brook, New York 11794
| | - R Majka
- Yale University, New Haven, Connecticut 06520
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - C Markert
- University of Texas, Austin, Texas 78712
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - O Matonoha
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - D Mayes
- University of California, Riverside, California 92521
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - K Meehan
- University of California, Davis, California 95616
| | - J C Mei
- Shandong University, Jinan, Shandong 250100
| | - N G Minaev
- Institute of High Energy Physics, Protvino 142281, Russia
| | | | - D Mishra
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- Institute of Physics, Bhubaneswar 751005, India
| | - I Mooney
- Wayne State University, Detroit, Michigan 48201
| | - D A Morozov
- Institute of High Energy Physics, Protvino 142281, Russia
| | - Md Nasim
- University of California, Los Angeles, California 90095
| | - J D Negrete
- University of California, Riverside, California 92521
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- Wayne State University, Detroit, Michigan 48201
| | - L V Nogach
- Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S B Nurushev
- Institute of High Energy Physics, Protvino 142281, Russia
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - K Oh
- Pusan National University, Pusan 46241, Korea
| | - S Oh
- Yale University, New Haven, Connecticut 06520
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Olvitt
- Temple University, Philadelphia, Pennsylvania 19122
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - B Pawlik
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079
| | - C Perkins
- University of California, Berkeley, California 94720
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | | | | | - R L Ray
- University of Texas, Austin, Texas 78712
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J L Romero
- University of California, Davis, California 95616
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Rusnak
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - O Rusnakova
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843
| | - P K Sahu
- Institute of Physics, Bhubaneswar 751005, India
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520
| | | | - A M Schmah
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794
| | - F Seck
- Technische Universitat Darmstadt, Darmstadt 64289, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - M Sergeeva
- University of California, Los Angeles, California 90095
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - N Shah
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - F Shen
- Shandong University, Jinan, Shandong 250100
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Siejka
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - S Singha
- Kent State University, Kent, Ohio 44242
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520
| | - D Smirnov
- Brookhaven National Laboratory, Upton, New York 11973
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - D J Stewart
- Yale University, New Haven, Connecticut 06520
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - A A P Suaide
- Universidade de Sao Paulo, Sao Paulo 05314-970, Brazil
| | - T Sugiura
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M Sumbera
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - P Szymanski
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | - D Tlusty
- Rice University, Houston, Texas 77251
| | - T Todoroki
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - O D Tsai
- University of California, Los Angeles, California 90095
| | - B Tu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
| | - I Upsal
- Ohio State University, Columbus, Ohio 43210
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Vanek
- Nuclear Physics Institute AS CR, Prague 250 68, Czech Republic
| | - A N Vasiliev
- Institute of High Energy Physics, Protvino 142281, Russia
| | - I Vassiliev
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980, Russia
| | | | - A Vossen
- Indiana University, Bloomington, Indiana 47408
| | - G Wang
- University of California, Los Angeles, California 90095
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | - L Wen
- University of California, Los Angeles, California 90095
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402
| | - Y Wu
- Kent State University, Kent, Ohio 44242
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - Q H Xu
- Shandong University, Jinan, Shandong 250100
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Xu
- Central China Normal University, Wuhan, Hubei 430079
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Yang
- Shandong University, Jinan, Shandong 250100
| | - Q Yang
- Shandong University, Jinan, Shandong 250100
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Jinan, Shandong 250100
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - I-K Yoo
- Pusan National University, Pusan 46241, Korea
| | - N Yu
- Central China Normal University, Wuhan, Hubei 430079
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | | | - J Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Zhang
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - L Zhou
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Z Zhu
- Shandong University, Jinan, Shandong 250100
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Adam J, Adamczyk L, Adams J, Adkins J, Agakishiev G, Aggarwal M, Ahammed Z, Ajitanand N, Alekseev I, Anderson D, Aoyama R, Aparin A, Arkhipkin D, Aschenauer E, Ashraf M, Atetalla F, Attri A, Averichev G, Bai X, Bairathi V, Barish K, Bassill A, Behera A, Bellwied R, Bhasin A, Bhati A, Bielcik J, Bielcikova J, Bland L, Bordyuzhin I, Brandenburg J, Brandin A, Brown D, Bryslawskyj J, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Campbell J, Cebra D, Chakaberia I, Chaloupka P, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen J, Chen X, Chen X, Cheng J, Cherney M, Christie W, Contin G, Crawford H, Das S, Dedovich T, Deppner I, Derevschikov A, Didenko L, Dilks C, Dong X, Drachenberg J, Dunlop J, Efimov L, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Federicova P, Fedorisin J, Filip P, Finch E, Fisyak Y, Flores C, Fulek L, Gagliardi C, Galatyuk T, Geurts F, Gibson A, Grosnick D, Gunarathne D, Guo Y, Gupta A, Guryn W, Hamad A, Hamed A, Harlenderova A, Harris J, He L, Heppelmann S, Heppelmann S, Herrmann N, Hirsch A, Holub L, Horvat S, Huang X, Huang B, Huang S, Huang H, Huang T, Humanic T, Huo P, Igo G, Jacobs W, Jentsch A, Jia J, Jiang K, Jowzaee S, Judd E, Kabana S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke H, Keane D, Kechechyan A, Kikoła D, Kim C, Kinghorn T, Kisel I, Kisiel A, Kochenda L, Kosarzewski L, Kraishan A, Kramarik L, Krauth L, Kravtsov P, Krueger K, Kulathunga N, Kumar S, Kumar L, Kvapil J, Kwasizur J, Lacey R, Landgraf J, Lauret J, Lebedev A, Lednicky R, Lee J, Li X, Li C, Li W, Li Y, Liang Y, Lidrych J, Lin T, Lipiec A, Lisa M, Liu F, Liu P, Liu H, Liu Y, Ljubicic T, Llope W, Lomnitz M, Longacre R, Luo X, Luo S, Ma G, Ma Y, Ma L, Ma R, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis H, Matonoha O, Mayes D, Mazer J, Meehan K, Mei J, Minaev N, Mioduszewski S, Mishra D, Mohanty B, Mondal M, Mooney I, Morozov D, Nasim M, Negrete J, Nelson J, Nemes D, Nie M, Nigmatkulov G, Niida T, Nogach L, Nonaka T, Nurushev S, Odyniec G, Ogawa A, Oh K, Oh S, Okorokov V, Olvitt D, Page B, Pak R, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pluta J, Porter J, Posik M, Pruthi N, Przybycien M, Putschke J, Quintero A, Radhakrishnan S, Ramachandran S, Ray R, Reed R, Ritter H, Roberts J, Rogachevskiy O, Romero J, Ruan L, Rusnak J, Rusnakova O, Sahoo N, Sahu P, Salur S, Sandweiss J, Schambach J, Schmah A, Schmidke W, Schmitz N, Schweid B, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan P, Shao M, Shen W, Shen F, Shi S, Shou Q, Sichtermann E, Siejka S, Sikora R, Simko M, Singha S, Smirnov N, Smirnov D, Solyst W, Sorensen P, Spinka H, Srivastava B, Stanislaus T, Stewart D, Strikhanov M, Stringfellow B, Suaide A, Sugiura T, Sumbera M, Summa B, Sun Y, Sun X, Sun X, Surrow B, Svirida D, Szymanski P, Tang Z, Tang A, Taranenko A, Tarnowsky T, Thomas J, Timmins A, Tlusty D, Todoroki T, Tokarev M, Tomkiel C, Trentalange S, Tribble R, Tribedy P, Tripathy S, Tsai O, Tu B, Ullrich T, Underwood D, Upsal I, Van Buren G, Vanek J, Vasiliev A, Vassiliev I, Videbæk F, Vokal S, Voloshin S, Vossen A, Wang G, Wang Y, Wang F, Wang Y, Webb J, Wen L, Westfall G, Wieman H, Wissink S, Witt R, Wu Y, Xiao Z, Xie G, Xie W, Xu Q, Xu Z, Xu J, Xu Y, Xu N, Yang S, Yang C, Yang Q, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang Z, Zhang L, Zhang Y, Zhang X, Zhang J, Zhang S, Zhang S, Zhang J, Zhao J, Zhong C, Zhou C, Zhou L, Zhu Z, Zhu X, Zyzak M. Longitudinal double-spin asymmetries for
π0s
in the forward direction for 510 GeV polarized
pp
collisions. Int J Clin Exp Med 2018. [DOI: 10.1103/physrevd.98.032013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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50
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Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Ajitanand NN, Alekseev I, Anderson DM, Aoyama R, Aparin A, Arkhipkin D, Aschenauer EC, Ashraf MU, Attri A, Averichev GS, Bai X, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bhati AK, Bhattarai P, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Bouchet J, Brandenburg JD, Brandin AV, Brown D, Bunzarov I, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Campbell JM, Cebra D, Chakaberia I, Chaloupka P, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chattopadhyay S, Chen JH, Chen X, Chen X, Cheng J, Cherney M, Christie W, Contin G, Crawford HJ, Das S, De Silva LC, Debbe RR, Dedovich TG, Deng J, Derevschikov AA, Didenko L, Dilks C, Dong X, Drachenberg JL, Draper JE, Dunkelberger LE, Dunlop JC, Efimov LG, Elsey N, Engelage J, Eppley G, Esha R, Esumi S, Evdokimov O, Ewigleben J, Eyser O, Fatemi R, Fazio S, Federic P, Federicova P, Fedorisin J, Feng Z, Filip P, Finch E, Fisyak Y, Flores CE, Fujita J, Fulek L, Gagliardi CA, Garand D, Geurts F, Gibson A, Girard M, Grosnick D, Gunarathne DS, Guo Y, Gupta S, Gupta A, Guryn W, Hamad AI, Hamed A, Harlenderova A, Harris JW, He L, Heppelmann S, Heppelmann S, Hirsch A, Hoffmann GW, Horvat S, Huang X, Huang HZ, Huang T, Huang B, Humanic TJ, Huo P, Igo G, Jacobs WW, Jentsch A, Jia J, Jiang K, Jowzaee S, Judd EG, Kabana S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Khan Z, Kikoła DP, Kim C, Kisel I, Kisiel A, Kochenda L, Kocmanek M, Kollegger T, Kosarzewski LK, Kraishan AF, Krauth L, Kravtsov P, Krueger K, Kulathunga N, Kumar L, Kvapil J, Kwasizur JH, Lacey R, Landgraf JM, Landry KD, Lauret J, Lebedev A, Lednicky R, Lee JH, Li C, Li W, Li Y, Li X, Lidrych J, Lin T, Lisa MA, Liu P, Liu F, Liu H, Liu Y, Ljubicic T, Llope WJ, Lomnitz M, Longacre RS, Luo X, Luo S, Ma GL, Ma L, Ma YG, Ma R, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Meehan K, Mei JC, Miller ZW, Minaev NG, Mioduszewski S, Mishra D, Mizuno S, Mohanty B, Mondal MM, Morozov DA, Mustafa MK, Nasim M, Nayak TK, Nelson JM, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Nurushev SB, Odyniec G, Ogawa A, Oh K, Okorokov VA, Olvitt D, Page BS, Pak R, Pandit Y, Panebratsev Y, Pawlik B, Pei H, Perkins C, Pile P, Pluta J, Poniatowska K, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Ramachandran S, Ray RL, Reed R, Rehbein MJ, Ritter HG, Roberts JB, Rogachevskiy OV, Romero JL, Roth JD, Ruan L, Rusnak J, Rusnakova O, Sahoo NR, Sahu PK, Salur S, Sandweiss J, Sangaline E, Saur M, Schambach J, Schmah AM, Schmidke WB, Schmitz N, Schweid BR, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sharma MK, Sharma A, Shen WQ, Shi Z, Shi SS, Shou QY, Sichtermann EP, Sikora R, Simko M, Singha S, Skoby MJ, Smirnov D, Smirnov N, Solyst W, Song L, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Strikhanov M, Stringfellow B, Sugiura T, Sumbera M, Summa B, Sun XM, Sun Y, Sun X, Surrow B, Svirida DN, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Tawfik A, Thäder J, Thomas JH, Timmins AR, Tlusty D, Todoroki T, Tokarev M, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Trzeciak BA, Tsai OD, Ullrich T, Underwood DG, Upsal I, Van Buren G, van Nieuwenhuizen G, Vasiliev AN, Videbæk F, Vokal S, Voloshin SA, Vossen A, Wang F, Wang Y, Wang G, Wang Y, Webb JC, Webb G, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu Z, Xu N, Xu YF, Xu QH, Xu J, Yang Q, Yang C, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yoo IK, Yu N, Zbroszczyk H, Zha W, Zhang XP, Zhang S, Zhang JB, Zhang J, Zhang Z, Zhang S, Zhang J, Zhang Y, Zhao J, Zhong C, Zhou L, Zhou C, Zhu Z, Zhu X, Zyzak M. Beam Energy Dependence of Jet-Quenching Effects in Au+Au Collisions at sqrt[s_{NN}]=7.7, 11.5, 14.5, 19.6, 27, 39, and 62.4 GeV. Phys Rev Lett 2018; 121:032301. [PMID: 30085817 DOI: 10.1103/physrevlett.121.032301] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 03/29/2018] [Indexed: 06/08/2023]
Abstract
We report measurements of the nuclear modification factor R_{CP} for charged hadrons as well as identified π^{+(-)}, K^{+(-)}, and p(p[over ¯]) for Au+Au collision energies of sqrt[s_{NN}]=7.7, 11.5, 14.5, 19.6, 27, 39, and 62.4 GeV. We observe a clear high-p_{T} net suppression in central collisions at 62.4 GeV for charged hadrons which evolves smoothly to a large net enhancement at lower energies. This trend is driven by the evolution of the pion spectra but is also very similar for the kaon spectra. While the magnitude of the proton R_{CP} at high p_{T} does depend on the collision energy, neither the proton nor the antiproton R_{CP} at high p_{T} exhibit net suppression at any energy. A study of how the binary collision-scaled high-p_{T} yield evolves with centrality reveals a nonmonotonic shape that is consistent with the idea that jet quenching is increasing faster than the combined phenomena that lead to enhancement.
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Affiliation(s)
- L Adamczyk
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210, USA
| | - J K Adkins
- University of Kentucky, Lexington, Kentucky 40506-0055, USA
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - N N Ajitanand
- State University of New York, Stony Brook, New York 11794, USA
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843, USA
| | - R Aoyama
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - D Arkhipkin
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - E C Aschenauer
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - M U Ashraf
- Tsinghua University, Beijing 100084, China
| | - A Attri
- Panjab University, Chandigarh 160014, India
| | - G S Averichev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - X Bai
- Central China Normal University, Wuhan, Hubei 430079, China
| | - V Bairathi
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - K Barish
- University of California, Riverside, California 92521, USA
| | - A Behera
- State University of New York, Stony Brook, New York 11794, USA
| | - R Bellwied
- University of Houston, Houston, Texas 77204, USA
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - A K Bhati
- Panjab University, Chandigarh 160014, India
| | - P Bhattarai
- University of Texas, Austin, Texas 78712, USA
| | - J Bielcik
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - J Bielcikova
- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
| | - L C Bland
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - J Bouchet
- Kent State University, Kent, Ohio 44242, USA
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Brown
- Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - I Bunzarov
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - H Caines
- Yale University, New Haven, Connecticut 06520, USA
| | | | - J M Campbell
- Ohio State University, Columbus, Ohio 43210, USA
| | - D Cebra
- University of California, Davis, California 95616, USA
| | - I Chakaberia
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - P Chaloupka
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - Z Chang
- Texas A&M University, College Station, Texas 77843, USA
| | | | - A Chatterjee
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | | | - J H Chen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - X Chen
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
| | - X Chen
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - J Cheng
- Tsinghua University, Beijing 100084, China
| | - M Cherney
- Creighton University, Omaha, Nebraska 68178, USA
| | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - G Contin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - H J Crawford
- University of California, Berkeley, California 94720, USA
| | - S Das
- Central China Normal University, Wuhan, Hubei 430079, China
| | - L C De Silva
- Creighton University, Omaha, Nebraska 68178, USA
| | - R R Debbe
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - J Deng
- Shandong University, Jinan, Shandong 250100, China
| | | | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - C Dilks
- Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J L Drachenberg
- Lamar University, Physics Department, Beaumont, Texas 77710, USA
| | - J E Draper
- University of California, Davis, California 95616, USA
| | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L G Efimov
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - N Elsey
- Wayne State University, Detroit, Michigan 48201, USA
| | - J Engelage
- University of California, Berkeley, California 94720, USA
| | - G Eppley
- Rice University, Houston, Texas 77251, USA
| | - R Esha
- University of California, Los Angeles, California 90095, USA
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - J Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055, USA
| | - S Fazio
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - P Federic
- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
| | - P Federicova
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - J Fedorisin
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - Z Feng
- Central China Normal University, Wuhan, Hubei 430079, China
| | - P Filip
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515, USA
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - C E Flores
- University of California, Davis, California 95616, USA
| | - J Fujita
- Creighton University, Omaha, Nebraska 68178, USA
| | - L Fulek
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - C A Gagliardi
- Texas A&M University, College Station, Texas 77843, USA
| | - D Garand
- Purdue University, West Lafayette, Indiana 47907, USA
| | - F Geurts
- Rice University, Houston, Texas 77251, USA
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383, USA
| | - M Girard
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383, USA
| | - D S Gunarathne
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - Y Guo
- Kent State University, Kent, Ohio 44242, USA
| | - S Gupta
- University of Jammu, Jammu 180001, India
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - W Guryn
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A I Hamad
- Kent State University, Kent, Ohio 44242, USA
| | - A Hamed
- Texas A&M University, College Station, Texas 77843, USA
| | - A Harlenderova
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - J W Harris
- Yale University, New Haven, Connecticut 06520, USA
| | - L He
- Purdue University, West Lafayette, Indiana 47907, USA
| | - S Heppelmann
- University of California, Davis, California 95616, USA
| | - S Heppelmann
- Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - A Hirsch
- Purdue University, West Lafayette, Indiana 47907, USA
| | | | - S Horvat
- Yale University, New Haven, Connecticut 06520, USA
| | - X Huang
- Tsinghua University, Beijing 100084, China
| | - H Z Huang
- University of California, Los Angeles, California 90095, USA
| | - T Huang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - B Huang
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - T J Humanic
- Ohio State University, Columbus, Ohio 43210, USA
| | - P Huo
- State University of New York, Stony Brook, New York 11794, USA
| | - G Igo
- University of California, Los Angeles, California 90095, USA
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408, USA
| | - A Jentsch
- University of Texas, Austin, Texas 78712, USA
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973, USA
- State University of New York, Stony Brook, New York 11794, USA
| | - K Jiang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - S Jowzaee
- Wayne State University, Detroit, Michigan 48201, USA
| | - E G Judd
- University of California, Berkeley, California 94720, USA
| | - S Kabana
- Kent State University, Kent, Ohio 44242, USA
| | - D Kalinkin
- Indiana University, Bloomington, Indiana 47408, USA
| | - K Kang
- Tsinghua University, Beijing 100084, China
| | - D Kapukchyan
- University of California, Riverside, California 92521, USA
| | - K Kauder
- Wayne State University, Detroit, Michigan 48201, USA
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D Keane
- Kent State University, Kent, Ohio 44242, USA
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - Z Khan
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - D P Kikoła
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - C Kim
- University of California, Riverside, California 92521, USA
| | - I Kisel
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | - A Kisiel
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - M Kocmanek
- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
| | - T Kollegger
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
| | | | - A F Kraishan
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L Krauth
- University of California, Riverside, California 92521, USA
| | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - K Krueger
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - N Kulathunga
- University of Houston, Houston, Texas 77204, USA
| | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - J Kvapil
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - J H Kwasizur
- Indiana University, Bloomington, Indiana 47408, USA
| | - R Lacey
- State University of New York, Stony Brook, New York 11794, USA
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - K D Landry
- University of California, Los Angeles, California 90095, USA
| | - J Lauret
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - C Li
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - W Li
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Y Li
- Tsinghua University, Beijing 100084, China
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - J Lidrych
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - T Lin
- Indiana University, Bloomington, Indiana 47408, USA
| | - M A Lisa
- Ohio State University, Columbus, Ohio 43210, USA
| | - P Liu
- State University of New York, Stony Brook, New York 11794, USA
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079, China
| | - H Liu
- Indiana University, Bloomington, Indiana 47408, USA
| | - Y Liu
- Texas A&M University, College Station, Texas 77843, USA
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201, USA
| | - M Lomnitz
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - X Luo
- Central China Normal University, Wuhan, Hubei 430079, China
| | - S Luo
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - G L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - L Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Y G Ma
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - N Magdy
- State University of New York, Stony Brook, New York 11794, USA
| | - R Majka
- Yale University, New Haven, Connecticut 06520, USA
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - S Margetis
- Kent State University, Kent, Ohio 44242, USA
| | - C Markert
- University of Texas, Austin, Texas 78712, USA
| | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - K Meehan
- University of California, Davis, California 95616, USA
| | - J C Mei
- Shandong University, Jinan, Shandong 250100, China
| | - Z W Miller
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - N G Minaev
- Institute of High Energy Physics, Protvino 142281, Russia
| | | | - D Mishra
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - S Mizuno
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- Institute of Physics, Bhubaneswar 751005, India
| | - D A Morozov
- Institute of High Energy Physics, Protvino 142281, Russia
| | - M K Mustafa
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - Md Nasim
- University of California, Los Angeles, California 90095, USA
| | - T K Nayak
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - J M Nelson
- University of California, Berkeley, California 94720, USA
| | - M Nie
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Niida
- Wayne State University, Detroit, Michigan 48201, USA
| | - L V Nogach
- Institute of High Energy Physics, Protvino 142281, Russia
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S B Nurushev
- Institute of High Energy Physics, Protvino 142281, Russia
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - K Oh
- Pusan National University, Pusan 46241, Korea
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - D Olvitt
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y Pandit
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - Y Panebratsev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - B Pawlik
- Institute of Nuclear Physics PAN, Cracow 31-342, Poland
| | - H Pei
- Central China Normal University, Wuhan, Hubei 430079, China
| | - C Perkins
- University of California, Berkeley, California 94720, USA
| | - P Pile
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Pluta
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - K Poniatowska
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - J Porter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - M Przybycien
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201, USA
| | - H Qiu
- Purdue University, West Lafayette, Indiana 47907, USA
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Ramachandran
- University of Kentucky, Lexington, Kentucky 40506-0055, USA
| | - R L Ray
- University of Texas, Austin, Texas 78712, USA
| | - R Reed
- Lehigh University, Bethlehem, Pennsylvania 18015, USA
| | - M J Rehbein
- Creighton University, Omaha, Nebraska 68178, USA
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | | | | | - J L Romero
- University of California, Davis, California 95616, USA
| | - J D Roth
- Creighton University, Omaha, Nebraska 68178, USA
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Rusnak
- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
| | - O Rusnakova
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843, USA
| | - P K Sahu
- Institute of Physics, Bhubaneswar 751005, India
| | - S Salur
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J Sandweiss
- Yale University, New Haven, Connecticut 06520, USA
| | - E Sangaline
- University of California, Davis, California 95616, USA
| | - M Saur
- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
| | - J Schambach
- University of Texas, Austin, Texas 78712, USA
| | - A M Schmah
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - N Schmitz
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - B R Schweid
- State University of New York, Stony Brook, New York 11794, USA
| | - J Seger
- Creighton University, Omaha, Nebraska 68178, USA
| | - M Sergeeva
- University of California, Los Angeles, California 90095, USA
| | - R Seto
- University of California, Riverside, California 92521, USA
| | - P Seyboth
- Max-Planck-Institut fur Physik, Munich 80805, Germany
| | - N Shah
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | | | - M Shao
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - M K Sharma
- University of Jammu, Jammu 180001, India
| | - A Sharma
- University of Jammu, Jammu 180001, India
| | - W Q Shen
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Z Shi
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079, China
| | - Q Y Shou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - E P Sichtermann
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - R Sikora
- AGH University of Science and Technology, FPACS, Cracow 30-059, Poland
| | - M Simko
- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
| | - S Singha
- Kent State University, Kent, Ohio 44242, USA
| | - M J Skoby
- Indiana University, Bloomington, Indiana 47408, USA
| | - D Smirnov
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - N Smirnov
- Yale University, New Haven, Connecticut 06520, USA
| | - W Solyst
- Indiana University, Bloomington, Indiana 47408, USA
| | - L Song
- University of Houston, Houston, Texas 77204, USA
| | - P Sorensen
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - H M Spinka
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907, USA
| | | | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | | | - T Sugiura
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M Sumbera
- Nuclear Physics Institute AS CR, Prague, 250 68, Czech Republic
| | - B Summa
- Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - X M Sun
- Central China Normal University, Wuhan, Hubei 430079, China
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - X Sun
- Central China Normal University, Wuhan, Hubei 430079, China
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics, Moscow 117218, Russia
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824, USA
| | - A Tawfik
- World Laboratory for Cosmology and Particle Physics (WLCAPP), Cairo 11571, Egypt
| | - J Thäder
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - A R Timmins
- University of Houston, Houston, Texas 77204, USA
| | - D Tlusty
- Rice University, Houston, Texas 77251, USA
| | - T Todoroki
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - M Tokarev
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - S Trentalange
- University of California, Los Angeles, California 90095, USA
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843, USA
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | | | - B A Trzeciak
- Czech Technical University in Prague, FNSPE, Prague, 115 19, Czech Republic
| | - O D Tsai
- University of California, Los Angeles, California 90095, USA
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - I Upsal
- Ohio State University, Columbus, Ohio 43210, USA
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | | | - A N Vasiliev
- Institute of High Energy Physics, Protvino 142281, Russia
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna, 141 980, Russia
| | - S A Voloshin
- Wayne State University, Detroit, Michigan 48201, USA
| | - A Vossen
- Indiana University, Bloomington, Indiana 47408, USA
| | - F Wang
- Purdue University, West Lafayette, Indiana 47907, USA
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079, China
| | - G Wang
- University of California, Los Angeles, California 90095, USA
| | - Y Wang
- Tsinghua University, Beijing 100084, China
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - G Webb
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L Wen
- University of California, Los Angeles, California 90095, USA
| | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824, USA
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408, USA
| | - R Witt
- United States Naval Academy, Annapolis, Maryland 21402, USA
| | - Y Wu
- Kent State University, Kent, Ohio 44242, USA
| | - Z G Xiao
- Tsinghua University, Beijing 100084, China
| | - G Xie
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907, USA
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - Y F Xu
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Q H Xu
- Shandong University, Jinan, Shandong 250100, China
| | - J Xu
- Central China Normal University, Wuhan, Hubei 430079, China
| | - Q Yang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C Yang
- Shandong University, Jinan, Shandong 250100, China
| | - S Yang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - Y Yang
- National Cheng Kung University, Tainan 70101, Taiwan
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607, USA
| | - L Yi
- Yale University, New Haven, Connecticut 06520, USA
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - I-K Yoo
- Pusan National University, Pusan 46241, Korea
| | - N Yu
- Central China Normal University, Wuhan, Hubei 430079, China
| | - H Zbroszczyk
- Warsaw University of Technology, Warsaw 00-661, Poland
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - X P Zhang
- Tsinghua University, Beijing 100084, China
| | - S Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - J B Zhang
- Central China Normal University, Wuhan, Hubei 430079, China
| | - J Zhang
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - Z Zhang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - J Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - J Zhao
- Purdue University, West Lafayette, Indiana 47907, USA
| | - C Zhong
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - L Zhou
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C Zhou
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
| | - Z Zhu
- Shandong University, Jinan, Shandong 250100, China
| | - X Zhu
- Tsinghua University, Beijing 100084, China
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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